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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en"><front><journal-meta><journal-id journal-id-type="issn">2541-450X</journal-id><journal-title-group><journal-title>Indigenous: Jurnal Ilmiah Psikologi</journal-title><abbrev-journal-title>indigenous</abbrev-journal-title></journal-title-group><issn pub-type="epub">2541-450X</issn><issn pub-type="ppub">0854-2880</issn><publisher><publisher-name>Universitas Muhammadiyah Surakarta</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.23917/indigenous.v9i3.5684</article-id><article-categories/><title-group><article-title>Health Challenges Experienced by Widows in Low- and Middle-Income Countries: A Systematic Review</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9154-7383</contrib-id><name><surname>Mosha</surname><given-names>Neema Florence Vincent</given-names></name><address><country>South Africa</country></address><xref ref-type="aff" rid="AFF-1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7676-3931</contrib-id><name><surname>Ngulube</surname><given-names>Patrick</given-names></name><address><country>South Africa</country><email>ngulup@unisa.ac.za</email></address><xref ref-type="aff" rid="AFF-1"/><xref ref-type="corresp" rid="cor-1"/></contrib></contrib-group><aff id="AFF-1"><institution-wrap><institution>University of South Africa</institution><institution-id institution-id-type="ror">https://ror.org/048cwvf49</institution-id></institution-wrap><country country="ZA">South Africa</country></aff><author-notes><corresp id="cor-1"><bold>Corresponding author:  Patrick Ngulube</bold>, University of South Africa .Email:<email>ngulup@unisa.ac.za</email></corresp></author-notes><pub-date date-type="pub" iso-8601-date="2024-11-30" publication-format="electronic"><day>30</day><month>11</month><year>2024</year></pub-date><pub-date date-type="collection" iso-8601-date="2024-11-30" publication-format="electronic"><day>30</day><month>11</month><year>2024</year></pub-date><volume>9</volume><issue>3</issue><fpage>303</fpage><lpage>334</lpage><history><date date-type="received" iso-8601-date="2024-6-30"><day>30</day><month>6</month><year>2024</year></date><date date-type="accepted" iso-8601-date="2024-8-23"><day>23</day><month>8</month><year>2024</year></date></history><permissions><copyright-statement>Copyright (c) 2025 Neema Florence Vincent Mosha, Patrick Ngulube</copyright-statement><copyright-year>2025</copyright-year><copyright-holder>Neema Florence Vincent Mosha, Patrick Ngulube</copyright-holder><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution 4.0 International License.</license-p></license></permissions><self-uri xlink:href="https://journals2.ums.ac.id/indigenous/article/view/5684" xlink:title="Health Challenges Experienced by Widows in Low- and Middle-Income Countries: A Systematic Review">Health Challenges Experienced by Widows in Low- and Middle-Income Countries: A Systematic Review</self-uri><abstract><p>This systematic review aims to critically examine empirical studies conducted in low- and middle-income countries (LMICs) to identify and analyze the diverse health challenges widows face. Specifically, the review aims to explore the psychological factors impacting their well-being and assess these challenges' implications for health outcomes. The research encompassed articles published between 2012 and 2024, sourced from PubMed, Web of Science, Scopus, and Taylor and Francis databases and the Google Scholar search engine. A total 101,889 papers were initially screened, ultimately culminating in the inclusion of sixteen papers following a meticulous evaluation and screening process. The findings revealed that widows commonly experience health challanges. In this review health challenges is presented into two major themes: mental health challenges such as depression, anxiety and stress, often stemming from emotional distress and social isoloation. The other theme is the physical health challenges that indicates a high prevalence of chronic diseases and malnutrition duet o financial instability. The study also identified several psychological factors, notably finansial insecurity, contributing to heightened stress and anxiety, further complicating their mental health. Many widows also face diminished social support leading to increased feelings of loneliness and stigma, while economic hardship significantly limits their access to healthcare and basic needs. Overall, these findings highlight the complex interplay of mental, physical and social factors, including critical psychological dimensions that affects the well-being of widows worldwide. This review was registered as PROSPERO 2022 CRD42022382703 with minor modifications.</p></abstract><kwd-group><kwd>Chronic diseases</kwd><kwd>Health problems</kwd><kwd>Psychological adaptation</kwd><kwd>Depression</kwd><kwd>Loneliness</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2024</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>INTRODUCTION</title><p>The prevalence of health challenges among widows is increasing due to the emotional distress resulting from the loss of their life partners. This distress is primarily driven by psychological factors, which serve as the main contributors to the health challenges they face. A combination of these factors, along with stressful life events such as the loss of a loved one, divorce, financial loss, and violent assault, can significantly increase the risk of suicidality among widows in low-and middle-income countries (LMICs) <xref ref-type="bibr" rid="BIBR-45">(Polanco-Roman et al., 2016)</xref>. The loss of a spouse is a significant and distressing life event <xref ref-type="bibr" rid="BIBR-1">(Adena et al., 2023)</xref>. Research indicates that the death of a spouse can have a detrimental impact on the health and wellbeing of widows,  especially older ones <xref ref-type="bibr" rid="BIBR-24">(Golden et al., 2009)</xref> <xref ref-type="bibr" rid="BIBR-59">(Williams et al., 2012)</xref>. Widowhood in old age is often associated with negative implications for health and well-being (<xref ref-type="bibr" rid="BIBR-3">(Agrawal &amp; Arokiasamy, 2010)</xref>;<xref ref-type="bibr" rid="BIBR-16">(Das, 2012)</xref>; <xref ref-type="bibr" rid="BIBR-44">(Perkins et al., 2016)</xref>).</p><p>Widows often experience physical and emotional pain following the loss of their life partners, leading to the development of various health challenges <xref ref-type="bibr" rid="BIBR-16">(Das, 2012)</xref> <xref ref-type="bibr" rid="BIBR-24">(Golden et al., 2009)</xref> <xref ref-type="bibr" rid="BIBR-59">(Williams et al., 2012)</xref>. In general, health challenges are defined as diseases, mental illnesses, or environmental conditions that pose risks to one's health. However, this review defines health challenges as a disease, medical ailment, or environmental condition that poses the risk of disease or medical problems. Chronic diseases such as heart disease, stroke, cancer, type 2 diabetes, obesity, and arthritis, as categorised by the Centres for Disease Control and Prevention (CDC), are common among widows <xref ref-type="bibr" rid="BIBR-12">(Centers for Disease Control and Prevention (CDC, 2016)</xref>. The Centres for Medicare and Medicaid Services (CMMSs) also include a broader list of 19 chronic diseases, including Alzheimer's disease, depression, and Human Immunodeficiency Virus (HIV)/ Acquired immunodeficiency syndrome (AIDS) infection <xref ref-type="bibr" rid="BIBR-12">(Centers for Disease Control and Prevention (CDC, 2016)</xref>. Additionally, mental health disorders, including depression, anxiety disorders, and addictive behaviours, significantly affect many widows <xref ref-type="bibr" rid="BIBR-29">(Jiang et al., 2023)</xref>.</p><p>The leading cause of health challenges among widows is often psychological, as they face significant emotional distress following the loss of a spouse <xref ref-type="bibr" rid="BIBR-16">(Das, 2012)</xref> <xref ref-type="bibr" rid="BIBR-24">(Golden et al., 2009)</xref> <xref ref-type="bibr" rid="BIBR-59">(Williams et al., 2012)</xref>. Psychological factors such as grief, depression, anxiety, and social isolation can severely impact their mental health as the primary health challenge faced by the majority of widows worldwide (<xref ref-type="bibr" rid="BIBR-6">(Avison et al., 2007)</xref>; <xref ref-type="bibr" rid="BIBR-60">(Zheng &amp; Yan, 2024)</xref>). The stress of widowhood can lead to a range of mental issues, such as anxiety, anger, depression, irritability, and memory loss (<xref ref-type="bibr" rid="BIBR-6">(Avison et al., 2007)</xref>; <xref ref-type="bibr" rid="BIBR-60">(Zheng &amp; Yan, 2024)</xref>). Research by <xref ref-type="bibr" rid="BIBR-13">(Cheng et al., 2014)</xref> indicates that the absence of children is closely linked to depression among widows. It is also reported that health challenges experienced by widows can be attributed to various psychological factors, including exposure to neglect, sexual abuse, violence, and isolation (<xref ref-type="bibr" rid="BIBR-3">(Agrawal &amp; Arokiasamy, 2010)</xref>; <xref ref-type="bibr" rid="BIBR-31">(Kansra &amp; Khadar, 2023)</xref>). Additionally, role transition, financial stress, and cultural stigmas contribute to their psychological burden, leading to further health complications. In certain cultures, widows are often seen as belonging to their late husband's family, which can lead to them being perceived as a burden by family members <xref ref-type="bibr" rid="BIBR-16">(Das, 2012)</xref>. Also, psychological factors such as physical and mental health <xref ref-type="bibr" rid="BIBR-40">(Nseir &amp; Larkey, 2013)</xref>, as well as poverty (<xref ref-type="bibr" rid="BIBR-36">(Lloyd-Sherlock et al., 2015)</xref>; <xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref>), are associated with the outcomes of health challenges facing widows worldwide.</p><p>As in other parts of the world, widows in LMICs encounter various challenges such as limited health care access, property rights issues, lack of social support, and harmful traditional practices, all of which can impact their well-being in multiple ways (<xref ref-type="bibr" rid="BIBR-36">(Lloyd-Sherlock et al., 2015)</xref>). According to the World Bank classification, these countries have a GNI per capita falling between $1,136 and $4,465, according to the data for 2022. The issues of healthcare, employment creation, and income inequality are prevalent in these countries (<xref ref-type="bibr" rid="BIBR-26">(Hamadeh &amp; Rompaey, 2023)</xref>). Cultural beliefs, legal obstacles, resource limitations, lack of awareness, and the complex interaction of these factors make it challenging to provide effective interventions for widows <xref ref-type="bibr" rid="BIBR-16">(Das, 2012)</xref> <xref ref-type="bibr" rid="BIBR-27">(Holm et al., 2019)</xref>. The interplay of these psychological factors not only affects their emotional well-being but also has tangible effects on their physical health, underscoring the critical need for supportive interventions that address both mental and physical health in this vulnerable population. To address these challenges, providing coping mechanisms such as family and friend support can play a crucial role in reducing feelings of loneliness among widows <xref ref-type="bibr" rid="BIBR-17">(Vries et al., 2014)</xref>. In light of these challenges, it is essential to explore empirical studies conducted in LMICs to identify the various health challenges affecting widows, particularly those related to psychological factors that contribute to these health issues. Understanding these factors can help develop targeted interventions and support systems to address the unique needs of widows in these contexts.</p><p>Therefore, the primary gap in the existing review on the health challenges widows in LMICs face lies in the insufficient exploration of the specific psychological factors contributing to these health challenges. While previous studies have acknowledged the importance of grief and loss, they often fail to comprehensively address how interconnected psychological factors such as depression, anxiety, social isolation, role transition, financial stress, and cultural stigmas collectively influence both mental and physical health outcomes among widows.</p><p>This review distinguishes itself from previous studies by taking a holistic approach to understanding the psychological landscape of widowhood. Therefore, instead of focusing solely on individual factors, it aims to examine the interplay between multiple psychological dimensions and their cumulative impact on health challenges. Additionally, this study emphasises the context of LMICs, where cultural, social, and economic factors uniquely shape the experiences of widows. By integrating retrieved research studies, this review provided a more nuanced perspective on how these psychological factors contribute to health challenges among widows, ultimately informing targeted interventions that address their specific needs. This comprehensive understanding is essential for improving this vulnerable population's support systems and health outcomes.</p></sec><sec><title>METHOD</title><p>The eligibility criteria for this review encompass research articles published in English-language peer-reviewed journals from 2012 to 2024, specifically including crosssectional, cohort, and qualitative studies. The keywords employed include widow, widowhood, psychological factors, health challenges, and chronic diseases. Excluded from consideration are conference papers, proceedings, editorial reviews, letters of communication, commentaries, systematic reviews, and randomised trial studies. Additionally, research articles published prior to 2011 or after 2024 and those published in languages other than English were not included in the selection process. A systematic review was conducted to investigate the existing evidence regarding the health challenges faced by widows in LMICs <xref ref-type="bibr" rid="BIBR-38">(Moher et al., 2009)</xref>.</p><p>The search strategy utilised the following search terms: widow OR "widowhood" AND health OR "health challenge*" AND LMICs*. Boolean operators enhanced the search, accounting for plurals, database variations, and spelling (AND/OR). The identified key terms were then entered into CADIMA (Collaboration for the Development of the Internet-based Methodology for Systematic Reviews) for screening purposes <xref ref-type="bibr" rid="BIBR-33">(Kohl et al., 2018)</xref>. This platform assisted in systematically evaluating the relevant literature, ensuring a thorough and organised review process <xref ref-type="bibr" rid="BIBR-33">(Kohl et al., 2018)</xref>.</p><p>Electronic searches were conducted across various databases, including Web of Science (WoS) (8,152), Scopus (8,286), PubMed (774), Taylor and Francis [LRTF] (84,477), and Google Scholar (200) for the period spanning January 2024 to June 2024. The last search was conducted on December 6, 2024. A total of 101,889 research articles were retrieved and assessed for eligibility, including 16 research articles. The selection procedures adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (<xref ref-type="fig" rid="figure-c0dhgz">Figure 1</xref>) guidelines <xref ref-type="bibr" rid="BIBR-38">(Moher et al., 2009)</xref>. The primary author (NFM) extracted the data and conducted multiple extract reviews to identify relevant descriptions of the health challenges facing widows in low- and middle-income countries (LMICs). Themes were identified through inductive coding. NFM synthesised the extracted data, and the second author (PN) reviewed the initial synthesis, leading to a consensus on the themes reached by both authors.</p><fig id="figure-c0dhgz" ignoredToc=""><label>Figure 1</label><caption><p>PRISMA Diagram</p></caption><graphic xlink:href="https://journals2.ums.ac.id/indigenous/article/download/5684/4623/55665" mimetype="image" mime-subtype="png"><alt-text>Image</alt-text></graphic></fig><p>The primary author (NFM) extracted the data and conducted multiple extract reviews to identify relevant descriptions of the health challenges facing widows in low- and middle-income countries (LMICs). Themes were identified through inductive coding. NFM synthesised the extracted data, and the second author (PN) reviewed the initial synthesis, leading to a consensus on the themes reached by both authors. Data addressing similar issues were categorised and grouped until the themes were clearly described. Crafting suitable formulations proved time-consuming due to the similarities within the data <xref ref-type="bibr" rid="BIBR-50">(Sandelowski, 2010)</xref>. <xref ref-type="table" rid="table-qfh21s">Table 1</xref> provides the characteristics of selected studies.</p><table-wrap id="table-qfh21s" ignoredToc=""><label>Table 1</label><caption><p>Characteristics of selected studies</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>No</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Author (Date)</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Country</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Study Design</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Measurements</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Sample Size and Sampling</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Data Analysis</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Nigeria</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A cross-sectional study based on data from January 15 to March 29, 2019</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A structured question- naire was employed to obtain data.</p><p>No descriptions of the validity or reliability of the instruments used</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The 1106 registered widows from the six selected communities: Nsukka town (215), Obimo (186), Okpuje (165), Lejja (158), Ede-Oballa (189), Opi (193); then 10 Respondents were randomly selected from each community, making up 60 registered widows used for the study.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Excel</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>2</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Benin</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Experimental measurements were conducted from September 14, 2017,</p><p>to April 28, 2018, after obtaining due consent from participants.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A questionnaire was em- ployed to obtain data.</p><p>No descriptions of the validity or reliability of the instruments used.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>During the health talks, 67 widows, aged between 36 and 85, participated in the study with a mean age of 59.61 ± 9.36 years. All participants who provided consent for medical and otorhinolaryngological examinations were included in the study.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>SPSS V.20</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>3</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Nigeria</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The research instrument used for this study was the Widowhood Stress Scale (WSS) developed by the researcher, while the Widowhood Stress Inventory (WSI) was used as a screening device. It consists of a 25-item structured scale designed to measure widowhood stress. It was a 5-point Likert rating scale. The measurements were taken in 2013.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A questionnaire was em- ployed to obtain data. Test-retest reliability yielded 0.69.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Multi-stage sampling was employed in this study, with 138 participants purposively selected from rural communities in the Oyo North region of Oyo State, Nigeria. Participants had previously been screened using the Well-Being Index (WSI). The sample consisted of individuals aged between 32 and 57 years.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>ANOVA</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>4</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Nigeria</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The PTSD Checklist—Civilian Version was used to measure PTSD; The Intimacy Scale is a measure of intimacy between two individuals that reflects the quality of their relationship, and the Multidimensional Scale of Perceived Social Support was used to determine the level of support that participants receive from significant others, family, and friends.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A structured</p><p>questionnaire was employed to obtain data. Convergent and discriminant Validity of the PCL-C has also been reported.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The sample size comprised 177 participants. Significant predictors of post-traumatic stress disorder included partner intimacy (B = 0.300, p &lt; 0.001), the cause of husband's death (sudden vs. anticipated) (B = 0.183, p &lt; 0.01), perceived social support (B = –0.300, p &lt; 0.001), the number of surviving children at the time of husband's death (B = 0.210, p &lt; 0.01), and the age of the last child at the time of husband's death (B = 0.355, p &lt; 0.01). The domains of well-being most negatively affected by post-traumatic stress disorder included general life satisfaction (66.10%), family relationships (62.71%), and overall functioning (61.02%).</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Multiple Regression Analysis.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Malawi</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A cross-sectional study based on data from 2008 to 2010.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A structured questionnaire was em- ployed to obtain data. Only external validity reported.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The sample size comprised rural households (HHs) across three regions of Malawi: North, Central, and South. Approximately 1,300 individuals were interviewed in each region during the 2008 and 2010 study waves. Notably, about 75% of the respondents participated in both waves.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Excel</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Nigeria</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The three-item loneliness measure was employed and constructed using the R-UCLA Loneliness Scale test items in two empirical studies. The social support subscale of the Duke Social Support and Stress Scale (DUSOCS) consists of 12 items assessing support received from family and nonfamily members. The study also utilised only the extraversion and neuroticism subscales of the BFI-10 to test personality dimensions.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A questionnaire was employed to obtain data. The Three-Item Loneliness Scale has acceptable reliability and both concurrent and discriminant validity.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The sample consisted of 171 older men and 294 older women from the three senatorial districts of Ekiti State, Nigeria, with a mean age of 74.18 years (± 9.42) and an age range of 60 to 96 years. Participants were selected from 14 communities within the senatorial districts using a multi-stage sampling technique.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>SPSS V. 21</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>7</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Switzerland</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Cross - sectional design based on data from 2012.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Self-report questionnaires; Centre of Epidemiologic Studies Depression (CES-D) Scale; Hopelessness Scale; De Jong Gierved Loneliness Scale. Satisfaction with Life Scale; Big Five Inventory (BFI-10); the Resilience Scale. No descriptions of the validity or reliability of the instruments used.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study included community-dwelling adults, with a total sample size of 402 participants, comprising 174 widowers and 228 widows. Additionally, there were 618 controls, which included 306 widowers and 312 widows. The mean age of the participants was 73.82 years, while those aged 60 years and older had a mean age of 74.41 years. The relative risk (RR) observed was 32%.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Latent profile analysis</p><p>(LPA)</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>8</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>India</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Longitudinal survey design based on data from 2004.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Self-report questionnaires: open- ended questions. No descriptions of the validity or reliability of the instruments used.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study focused on community-dwelling adults, with a total sample size of 10,111 participants, including widows aged 60 or older. This group's relative risk (RR) was not mentioned (NM).</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>STATA 11.0 SPSS V.22</p></td></tr><tr><td colspan="1" rowspan="2" style="" align="left" valign="top"><p>9</p></td><td colspan="1" rowspan="2" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref></p></td><td colspan="1" rowspan="2" style="" align="left" valign="top"><p>China</p></td><td colspan="1" rowspan="2" style="" align="left" valign="top"><p>Longitudinal survey design based on data from 2014.</p></td><td colspan="1" rowspan="2" style="" align="left" valign="top"><p>Short-Portable Mental Health Questionnaires; Centre for Epidemiologic Studies Depression Scale; China Longitudinal Aging Social Survey (CLASS) questionnaire for widowhood; Simplified Coping Style Questionnaire (SCSQ) for coping style. The measure of perceptions of aging was adapted from the Attitudes to Ageing Questionnaire (AAQ).</p></td><td colspan="1" rowspan="2" style="" align="left" valign="top"><p>First, 134 counties and districts were randomly selected based on probability proportional to population size from a sampling frame that included all county-level units. Second, 462 villages and communities were randomly drawn, with an urban-to-rural population size ratio set at 6:4. Third, a mapping-and-listing sampling method was employed to randomly sample households, from which one older adult per household was randomly chosen.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>SPSS V.22 AMOS 25</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>10</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>China</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Cross-sectional design based on data from 2006.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Self-report questionnaires; Health-related Quality of Life scale (QOL). QOL was described as good reliability and validity.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study included community- dwelling adults, with a total sample size of 1,060 participants. This study included 1,925 controls, 310 widowers, and 750 widows, all aged 60 years and over. This group's relative risk (RR) was not mentioned (NM).</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Epidata 3.2a</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>South Africa</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This study used the qualitative method. Data collection period dont identified.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>To enhance the validity and trustworthiness of the data, this study utilised two qualitative data collection methods: semi-structured in- depth interviews and focus group discussions. The collected data were analysed manually and organised according to the themes and patterns from participants' responses. A qualitative approach, specifically thematic analysis, was used for the data analysis.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Non-probability sampling techniques were utilised in this study, employing purposive and snowball sampling strategies. A total of 20 widows and</p><p>15 social workers were selected for participation.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Thematic analysis, manually</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>12</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Pakistan</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This study used the qualitative method. Data collecction period nott identified.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Data was collected from twenty respondents through in-depth interviews to address the socio-cultural challenges faced by widows in Lahore. However, no validity or reliability measures were reported.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study employed a non-random purposive sampling technique, selecting 20 widows as study participants.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Thematic analysis</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>13</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-30">(Kalantari et al., 2023)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Iran</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The research employed a qualitative approach based on a descriptive phenomenological strategy. The data collection period was not defined.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Semi-structured interviews were conducted until data saturation was achieved. The collected data were coded using the Colaizi method. Validity and reliability were reported.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Fifteen participants were selected using the purposeful sampling method.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>MAXQDA</p><p>software</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>14</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-20">(Ebulum et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Nigeria</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Data collection for the study lasted for about 6 months in 2022.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Participants completed the Beck Scale for Suicidal Ideation (BSSI), the University of California, Los Angeles Loneliness Scale (UCLALS—version 3), the Perceived Stress Scale (PSS-10), and the Religiosity Scale. The PSS-10 is a 10-item questionnaire that measures the degree to which situations in one's life are appraised as stressful. The scale is presented in a 5-point response option, and positively worded items are reverse- scored. Of the 570, 500 were filled correctly, 50 were not filled properly, and 20 were not returned. The correctly filled questionnaires were analysed for the study. Validity and reliability were reported.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Participants in this study comprised 500 adults (272 men and 228 women) drawn through convenience sampling from the Enugu metropolis in southeast Nigeria. Participants ranged from 51 to 70 years, with a mean age of 58.97 (SD = 6.16 years). The inclusion criteria specified that participants must be 50 years or older, willing to participate in the study, and possess sufficient English language literacy.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Perceived Stress Scale (PSS-10)</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>15</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-42">(Oumer et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Ethiopia</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A community-based cross-sectional study was conducted involving 840 randomly selected elderly individuals, utilising a multi-stage sampling technique for participant recruitment in June 2022</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Data collected through face-to- face interviews. Initially, descriptive statistics were computed, followed by logistic regression analysis to identify independent factors associated with the outcome variable. Multi-collinearity assumptions were assessed using the variance inflation factor (VIF). The goodness-of-fit test for the final model was checked using Hosmer and Lemeshow's goodness-of-fit model. Validity and reliability were established.</p><break/></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The sample size for the study was determined using OpenEpi Version 3.01, based on single population proportion assumptions with an expected prevalence of depression in the elderly population of 54.5%, derived from a study conducted in the North Shoa Area, Oromia Region, Ethiopia. A 95% confidence level, 80% power, and a 5% degree of precision were applied, resulting in a calculated sample size of 382. After accounting for a design effect of two (due to multi- stage sampling) and a 10% potential non-response rate, the final sample size was estimated to be 840. A multi-stage sampling technique was employed. Initially, six districts were randomly selected from the 24 districts in the Gamo zone using a lottery method. The selected districts included Bonke (10 kebeles), Kemba Zuria (27 kebeles), Boreda (29 kebeles), Gacho Baba (14 kebeles), Bibrbir town administrative (4 kebeles), and Gerese town administrative (6 kebeles).</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Geriatric Depression Scale (GDS) screening tool</p><break/></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>16</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Zimbabwe</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study employed a qualitative research approach, phenomenolog- ical research in December 2016 and January 2017</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The collection process comprised two phases. In the study's first phase, data were collected in December 2016 through one-on-one interviews with the widows. The study's second phase included focus group interviews, with each group consisting of seven (7) widows, and data were obtained in January 2017.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study employed a non-probability homogeneous purposive sampling technique to select participants from the population of widows in Binga District, focusing on those with experiences of widowhood residing in low- resourced areas. To enhance representation, widows were selected from Binga North (a peri- urban area) and Binga South (a predominantly rural area). A total of ten widows participated in individual in-depth interviews, while fourteen widows participated in two separate focus group interviews, ensuring that voices from both areas were included. Participants were randomly assigned to individual or focus group interviews, facilitating a comprehensive understanding of the experiences of widows in this context.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Thematically</p></td></tr></tbody></table></table-wrap><p>Quality Assessment</p><p>The studies selected for this review were evaluated following the Critical Appraisal Skills Programme <xref ref-type="bibr" rid="BIBR-11">(C.A.S.P., 2014)</xref>. CASP is a widely used framework that assists researchers and practitioners in critically assessing the quality of research studies, particularly in health and social care. It provides tailored checklists for various study types, including qualitative research, cross-sectional studies, cohort studies, randomised controlled trials, and systematic reviews <xref ref-type="bibr" rid="BIBR-34">(Kolaski et al., 2023)</xref>. <xref ref-type="table" rid="table-1">Table 2</xref> presents the assessment conducted on the selected studies using CASP, outlining the quality evaluation for each study and highlighting key aspects such as methodological rigor, clarity of aims, appropriateness of study design, and data analysis. The CASP assessment ensures that the included studies meet high research quality standards, thereby enhancing the validity and reliability of the review findings.</p><table-wrap id="table-1" ignoredToc=""><label>Table 2</label><caption><p>  Methodological quality assessment for prevalence studies (CASP checklist)  </p></caption><table frame="box" rules="all"><thead><tr><th colspan="13" rowspan="1" style="" align="center" valign="top"><p>Prevalence studies</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Studies</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>2</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>3</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>4</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>7</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>8</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>9</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>10</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>12</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-42">(Oumer et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td></tr><tr><th colspan="13" rowspan="1" style="" align="center" valign="top"><p>Questions in the checklist</p></th></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>1. Was the aim/problem in the study clearly defined?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>2. Was the cross-sectional design suitable to answer the aim and research question(s)?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>3. Was the population from which the sample was drawn clearly defined?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>4. Was the sampling method adequate?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>5. Was it explained whether (and how) the participants who agreed to participate differ from those who refused?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>6. Was the response rate adequate?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>7. Were the measurements shown to be valid and reliable?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>8. Were the procedures for data collection standardised?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>9. Was the statistical analysis appropriate?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>10. The conclusion of the studies (not included in this table)</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>11. Can the results be transferred to practice?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>12. Do the results from this study support previous studies?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>13. What are the implications of this study for practice? (not included in this table)</p></td></tr></tbody></table><table-wrap-foot><p>*note: Y = Yes, N = No, U = Urcertainly, &amp; NI = Not Identified.</p></table-wrap-foot></table-wrap><table-wrap id="table-2" ignoredToc=""><label>Table 3</label><caption><p>  Methodological quality assessment for cohort studies (CASP checklist)  </p></caption><table frame="box" rules="all"><thead><tr><th colspan="13" rowspan="1" style="" align="center" valign="top"><p>Cohort studies</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Studies</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>2</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>3</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>4</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>7</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>8</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>9</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>10</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>12</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-20">(Ebulum et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td></tr><tr><th colspan="13" rowspan="1" style="" align="center" valign="top">Questions</th></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>1. Did the study address a focused issue?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>2. Was the cohort recruited acceptably?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>3. Was the exposure accurately measured to minimise bias?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>4. Was the outcome accurately measured to minimise bias?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>5. Have the authors identified all the important confounding factors? Have they considered the confounding factors in the design and /or analysis?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>6. Was the follow-up of subjects complete enough? Was the follow-up of subjects long enough?</p></td></tr><tr><td colspan="11" rowspan="1" style="" align="left" valign="top"><p>7. What are the results of this study?</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>8 How precise are the results?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>9. Do you believe the results?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>10. Can the results be applied to the local population?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>11. Can the results of this study fit with other available evidence?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>12. What are the implications of this study for practice?</p></td></tr></tbody></table><table-wrap-foot><p>*note: Y = Yes, N = No, U = Urcertainly, &amp; NI = Not Identified.</p></table-wrap-foot></table-wrap><table-wrap id="table-3" ignoredToc=""><label>Table 4</label><caption><p>  Methodological quality assessment for qualitative studies (CASP checklist)  </p></caption><table frame="box" rules="all"><thead><tr><th colspan="13" rowspan="1" style="" align="center" valign="top"><p>Cohort studies</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Studies</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>2</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>3</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>4</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>7</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>8</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>9</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>10</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>12</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>NI</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>N</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-30">(Kalantari et al., 2023)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>U</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Y</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>-</p></td></tr><tr><th colspan="13" rowspan="1" style="" align="center" valign="top"><p>Questions</p></th></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>1. Did the study address a focused issue?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>2. Was the cohort recruited acceptably?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>3. Have the authors identified all the important confounding factors? Have they considered the confounding factors in the design and /or analysis?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>4. Was the follow-up of subjects complete enough? Was the follow-up of subjects long enough?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>5. What are the results of this study?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>6. How precise are the results?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>7. Do you believe the results?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>8. Can the results be applied to the local population?</p></td></tr><tr><td colspan="13" rowspan="1" style="" align="left" valign="top"><p>9. Can the results of this study fit with other available evidence?</p></td></tr></tbody></table><table-wrap-foot><p>*note: Y = Yes, N = No, U = Urcertainly, &amp; NI = Not Identified.</p></table-wrap-foot></table-wrap></sec><sec><title>RESULTS AND DISCUSSION</title><p>Studies characteristics</p><p>Five studies were identified as cross-sectional, three as qualitative, and seven as randomised controlled trials (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>). The cross-sectional studies included data collected from 2004 to 2024; however, two articles did not specify when the baseline interviews were conducted (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>). Most of these cross-sectional studies utilised self-report questionnaires (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>), yet they failed to address how self-reported data might have introduced response bias <xref ref-type="bibr" rid="BIBR-46">(Polit &amp; Beck, 2012)</xref>. Additionally, the design descriptions of many cross-sectional studies were unclear, with five studies lacking a clear focus, potentially leading to exposure and outcome bias.</p><p>The review also included cohort studies, which, as noted by Schneider et al. (2007), are generally prospective and use an epidemiological approach to examine the relationship between exposure and outcomes. Cohort studies collect data at two or more time points over an extended period <xref ref-type="bibr" rid="BIBR-46">(Polit &amp; Beck, 2012)</xref>. The long duration of data collection was highlighted in two articles, posing disadvantages related to the costs of time, effort, and resources. Internal validity concerns were raised, including issues of "testing," "mortality" (loss to follow-up), and the influence of confounding variables. Social desirability bias may occur when respondents provide answers they believe align with researchers' expectations. Four cohort studies reported small sample sizes (<xref ref-type="table" rid="table-2">Table 3</xref>), which can increase bias, and two studies did not adequately address strategies to minimise bias (<xref ref-type="bibr" rid="BIBR-3">(Agrawal &amp; Arokiasamy, 2010)</xref>; <xref ref-type="bibr" rid="BIBR-7">(Burns et al., 2015)</xref>). Conversely, four cohort studies identified critical confounding factors in their design or analysis (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>). Descriptions of validity and reliability were present in six cohort studies (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>), while one cohort study did not mention generalisation or external validity, constituting a limitation.</p><p>Three qualitative studies analysed their data thematically, while one utilised MAXQDA software. The studies were conducted in various countries within LMICs, including India (n=1), Switzerland (n=1), Nigeria (n=5), Benin (n=1), China (n=2), South Africa (n=1), Pakistan (n=1), Iran (n=1), Ethiopia (n=1), Zimbabwe (n=1), and Malawi (n=1). Most of the studies adhered to Braun and Clarke's (2021) six-phase framework. The initial step involves immersing oneself in the data through repeated readings to achieve familiarity. This is followed by the generation of initial codes based on identified meaningful segments. The third phase involves searching for themes by grouping related codes. In the fourth phase, themes are refined to ensure they accurately reflect the data. Each theme is then clearly defined and named, elucidating its scope and relevance. Finally, a coherent narrative is crafted, integrating the themes with the research questions and existing literature. This approach ensures a rigorous, transparent, and interpretive analysis of qualitative data.</p><p>The main health challenges and contributing psychological factors affecting widows in LMICs included mental health (i.e., depression, anxiety and post-traumatic stress disorder) and physical health problems such as poor eyesight, arthritis, rheumatism, high blood pressure, diabetes, malaria, typhoid, cough, ulcer, osteoarthritis, chronic headache, and chronic diseases. Prolonged grief and ambiguous loss are significant psychological factors that critically impact widows. Additionally, social isolation is a prominent psychological issue highlighted in this review. The multitude of health challenges faced by widows imposes a considerable burden on both the individuals themselves and their families. It is crucial that we address these issues effectively to alleviate this strain. <xref ref-type="table" rid="table-18rd6h">Table 5</xref> presents findings, including primary health challenges and factors contributing to these challenges.</p><table-wrap id="table-18rd6h" ignoredToc=""><label>Table 5</label><caption><p>Main results of the studies</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>No</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Author (Date)</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Aim</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Confounding and control variables</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top">Main results</th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Challenges</p></th><th colspan="1" rowspan="1" style="" align="left" valign="top"><p>Factors</p></th></tr></thead><tbody><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>1</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>To examine the health sta- tus of widows and inves- tigate its effect on their participation Incommunity development projects.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, religion, occupa- tion, family size, edu- cational status of the respondents, and the ex- tent to which the health status of widows affects their participation in community develop- ment projects.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The findings revealed that the health Chal- lenges faced by widows in Nsukka local gov- ernment of Enugu state, Nigeria, include high blood pressure, high blood sugar, typhoid, and malaria parasite. The majority of the widows (42%) rarely participate in the above-men- tioned community development projects.</p><p>The majority (72%) of the widows in the Nsukka local government area revealed that their health condition limits their participation in community development projects.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The health challenges af- fecting the participation of the widows in Nsuk- ka local government area in community develop- ment projects include poor eyesight, arthritis, rheumatism, high blood pressure, diabetes, malar- ia, typhoid, cough, and ulcer.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Results of depression and increased anxiety after the loss of a spouse. The living conditions and en- vironmental factors, such as living in swampy areas, also contribute to the poor health conditions of wid- ows.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>2</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top">This study aimed to determine the burden of Ear, Nose, and Throat (ENT) and medical diseases in Ger-iatrics and Widows through the identification of com-mon ENT and medical conditions in them.</td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, gender, history tak-ing, and examination of the The ear, the Nose, the Throat, and the general body.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Six (6) ENT conditions and 12 medical conditions were identified in the widows. right cerumen auris (65.6%), left cerumen au-ris (50.0%) and otitis externa (28.1%). Os-teoarthritis was the most common medical condition (90.6%) in the widows. Tests of as-sociation were not statistically significant.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Osteoarthritis, malaria, and chronic headache were the most common medical diseases among widows.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Humiliation by their husbands' family members and community, abandoned and neglected by family, friends, and relatives, as well as ear cleans-ing during or after mourn-ing.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>3</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This study investigated em- pirically the psychological variables constituting stress among middle-aged wid- ows in rural communities in Nigeria</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, educational back- ground, widows' stress, memory loss, frustra- tion, anger, anxiety</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The composite effect of psychological variables (anxiety, frustration, anger, and memory loss) on widows' stress was significant.</p><p>Anxiety was the most potent of all the psycho- logical variables constituting widows' stress. Young widows often have no peer groups com- pared to older ones. They are generally less pre- pared emotionally and practically to cope with the loss.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Stress, anxiety, and poverty</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Financial stress is caused by a significant loss of in- come (husband). Through poor nutrition, inadequate shelter, lack of access to health care, and vulnera- bility to violence.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>4</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Not indicated</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age of husband at the time of death, number of children, age of first and last child, duration of widowhood. Anxiety and depression.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The findings suggest that post-traumatic stress disorder among Igbo rural widows is a serious health concern that requires mental health pro- fessionals to identify high-risk rural widows early for intervention and develop programs aimed at educating and training rural commu- nity members on post traumatic stress disorder and where to seek help.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Mental illness</p><p>Stress, depression, and post-traumatic stress dis- order.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Husband's death, perceived social support, number of surviving children at the time of husband's death, and age of last child at the time of husband's death</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>5</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Assesses the relationship among older sub-Saharan Africans, on a now-aging continent. Such individuals are likely to be at risk of a dissolution, or have already experienced one, due to high divorce rates.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Demographic character- istics commonly asso- ciated with gender, age, marital histories, HH composition, sexual be- haviours, health status, ethnicity, and social, economic, and demo- graphic topics.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Worse relative, mental, and physical health are associated with being currently divorced/ widowed compared with being married. However, worse retrospective health is linked to becoming divorced/widowed between 2008 and 2010. Those divorced/widowed prior to 2008, and who remained so through 2010, are in worse relative and physical health.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Stress and diminishment of financial, emotion- al, and social resources, health buffering mecha- nisms associated with los- ing a spouse.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Mental    and                physical health problems.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>6</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>To demonstrate that the gender differences found in loneliness and social supports may not be maintained if we control for widowhood.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The personal details of participants, such as sex, age, marital status, lev- el of education, family type, extraversion, neu- roticism, and social en- gagements, were includ- ed in the final model while testing the effect of gender on the combined dependent variables.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Gender differences exist in loneliness and social support among older adults. Results of univariate analysis showed that gender and widowhood were predictors of loneliness and family support. The secondary covariates of social engagements, extraversion, and neuroticism predicted loneliness and family and nonfamily support.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Widows' loneliness and lack of social support.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Spousal loss in elderly persons' lives, and most especially women, may not be wholly compen- sated for; government and non-governmental organisations, family, religious organisations, and mental health pro- fessionals need to accord elderly widows and wid- owers more special status in terms of provision of social and psychological health services.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>7</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>To identify patterns of psychological adaptation to spousal loss in old age and to shed light on the role of intra and interpersonal resources and contextual factors as discriminant variables in these patterns.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, gender, and level of education.</p><break/></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The outcomes of depressive symptoms, hopelessness, loneliness, life satisfaction, and subjective health revealed three different groups in the widowed sample: resilient (54%), copers (39%), and vulnerable (7%). The most important variables for group allocation were intrapersonal resources, psychological resilience, the Big Five personality traits, the quality of the former relationship, and how the loss was experienced.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Interpersonal resources, the availability of social support  and  spousal, as well as the positive effect of time since the event happened.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Differences in psycho- logical resilience between the three profiles were statistically significant. The resilient and coping groups showed more positive emo- tional valence concerning the loss experience than the vulnerable group.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>8</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>(a)        Compare the pat- terns of disease prev- alence among older widows in terms of com- municable, non- commu- nicable and other diseases,</p><p>(b)      treatment-seeking be- haviour of older widows, and</p><p>(c)  study the variations con- cerning socio-economic and demographic factors.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, residence, social group, reli- gion, education, living arrange- ments; economic</p><p>independence; monthly per cap- ital expenditure percentile class</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Overall morbidity was 12% greater among older widows compared to older widowers. The likelihood of seeking healthcare services for reported morbidi- ties was substantially lower among older widows</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Multimorbidity or chronic                       diseases caused the participants to struggle with poor physical health and an increased risk of mor- tality</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Older widows suffered from greater rates of self-reported morbidities.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>9</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This study examined the role of coping styles and perceptions of aging in the relationship between wid- owhood and depression through two alternative pathways: mediation and moderation, with a national probability sample of older adults in China.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Nil</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The results of structural equation modelling showed a good fit for the total sample (NFI = .909, IFI =</p><p>.916, GFI = .963, RMSEA = .038) and indicated the significant direct impact of widowhood on de- pression among Chinese older adults. Moreover, the findings of mediating effects found that compared with a married group, widowed older adults used less problem-focused coping and had more negative perceptions of aging, which in turn, predicted higher depression; they were also more likely to use emo- tion-focused coping, which in turn, predicted lower depression. The results of the moderation analysis demonstrated that a higher level of negative.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Widowhood had a direct and positive in- fluence on depression, regardless of coping styles and perceptions of aging.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The effects of psychological factors were involved in the widowhood-depression rela- tionship. Second, frontline practitioners should incor- porate the evaluation of ag- ing perceptions and coping styles into their assessment, which might prospective- ly identify widowed older adults at risk of depression.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>10</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>How widowhood affects QOL of Chinese elders in rural areas. To explain subse- quent morbidity and mortality and suggest ways to promote the health of these older people</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, sex, and the highest lev- el  of  education, whether suffering from chronic diseas- es and current mari- tal status</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The physical and mental health of elderly widows and widowers declined with age. Widowed men had lower physical and mental component summary scores than married men. Widowed women had lower physical. Compo- nent summary scores, but the dif- ferences in mental health summary scores were not statistically signif- icant. Widowhood was associated with lower scores overall. Support from children was associated with better QOL and, based on interac- tion analysis, appeared to mitigate the negative effects of widowhood.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>M ultimorbidity or chronic diseas- es caused them to struggle with poor physical health.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The enormous and rapidly growing population of wid- owed rural Chinese elders has a lower physical and mental quality of life. These elders rely on their children for care, and if they have a supportive family who is un- able or unwilling to care for their parents, these elders may have no descendants to care for them at all.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>11</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This article reports on a study that aimed to investigate the impact of socio-econom- ic support provided by social workers to widows in mitigating social and economic challenges.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, number of widows, years as a widow, employ- ment status, and education level.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Most participants were between 28 and 68 years old, while a few were between 68 and 98. Although the age distribution does not represent all widows in the Raymond Mhla- ba Local Municipality (RMLM), the findings indicated that many were widowed at a young age. The study included unemployed partici- pants, all relying on their children's social support grants as their prima- ry source of income. Only a small number were employed full-time. Regarding education levels, many participants had low educational attainment, with several having no formal education or only completing grades one to two (primary educa- tion). A very small group had com- pleted Grade 12 and pursued further studies for diplomas at colleges.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study identified five main sub- themes as challenges faced by wid- ows: unemployment and underem- ployment, poverty, loss of income, lack of socio-economic empower- ment, and lack of psychosocial sup- port. A significant challenge is finan- cial instability, as many widows lack support and are often unemployed, leading to a precarious economic sit- uation. The findings indicate a scarci- ty of job opportunities, exacerbating their financial difficulties. Poverty is a pervasive issue, driven by insuffi- cient funds to meet basic needs, and widows in under-resourced com- munities face heightened economic threats. This lack of socio-economic empowerment further limits their ability to improve their circumstanc- es, while the absence of psychosocial support compounds their struggles, leaving them vulnerable and isolated.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Unemployment significantly im- pacts widows, exposing them to various challenges that lead to fi- nancial instability and poverty. After the death of a spouse, many widows lose their primary source of income and become depend- ent on inadequate child support grants, making it difficult to meet basic household needs. They often face barriers to employment, such as a lack of skills, age discrimina- tion, and caregiving responsibil- ities, while also dealing with the emotional and psychological toll of their loss. This situation leads to increased food scarcity and hunger, as many struggle to afford grocer- ies, compounded by social isolation and inadequate support systems. Ultimately, the cumulative effects of these factors create a cycle of poverty that is difficult to escape.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>12</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>To address the socio-cul- tural problems and op- portunities for widows in District Lahore.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, marriage his- tory, family, and socio-economic sta- tus.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>A widow faces new challenges daily, yet opportunities are available, such as finan- cial assistance and skill development pro- grams offered by government institutions and the private sector. Unfortunately, they often become victims of stereotypes and encounter numerous social and cultural problems, including violence, family in- difference, poverty, and depression. While widows strive for their independence, there is a lack of awareness surrounding their struggles. This study suggests po- tential strategies to address widows' social and cultural issues, including increasing media awareness through drama and es- tablishing an economic support system specifically for them.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The importance of social as- sistance for widows cannot be overstated, as inadequate sup- port is associated with increased isolation, heightened sorrow, de- creased resilience, a lower qual- ity of life, elevated stress levels, and poor mental health. Many widows experience dissatisfac- tion and vulnerability due to the lack of knowledge among their families, which further exacer- bates their challenges.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Widows need social assistance and support from family mem- bers and the wider community. The study highlighted a signifi- cant lack of support, particularly from uneducated family mem- bers. Assistance from friends and peers can play a crucial role in helping widows navigate their challenges. Many widows ac- tively seek friendships to combat social isolation, and they often express their feelings of depres- sion and the struggle to survive. Social integration strengthens their interpersonal relationships, enhancing their sense of pur- pose in life. Male dominance in society contributes to gender discrimination, which discour- ages women from considering independent lives and under- mines widows' aspirations for basic rights. In Pakistani socie- ty, there is insufficient support for widows to lead well-planned lives, and they often face societal pressure that discourages remar- riage, further limiting their op- portunities for a fulfilling future.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>13</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>To identify the meaning of mourning and the strategies used by be- reaved spouses.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, satisfaction, and grieving wom- en who lost their husbands.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>After analysing the research findings, which consisted of 460 concepts, 27 subcategories, and nine main categories, the results were organised into an</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Due to the risk of spreading COVID-19, there were no funerals or burials for those who passed away from the disease.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The sorrow that lingers in widows' hearts often feels profound and unending, contributing, to an incomplete  grieving  process.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>13</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-30">(Kalantari et al., 2023)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"/><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>educational package. The major themes identified included the obligation to mourn, social feedback from others, gradual healing, the experience of widowhood, existential emptiness, psychological collapse, the progressive repercussions of widowhood, and reflective self-talk regarding the complex psychological effects of death and mourning. Mourning symptoms are not always distinct; they can manifest simultaneously and intertwine in complex ways. This overlapping of emotional responses can make the grieving process more challenging, as individuals may experience a range of feelings such as sadness, anger, confusion, and anxiety all at once. The lack of sufficient time and external circumstances can significantly hinder the psychological support available</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This absence of collective mourning and associated rituals has led to unspoken grief among individuals. Participants expressed a strong desire to honour their loss through rituals, highlighting the importance of communal practices in processing their sorrow during this catastrophic crisis. A coping mechanism needs to be established. Some acted compassionately and nodded along. They were also annoying. This loss led to a profound sense of existential emptiness and misery, manifesting as the absence of the deceased, the tragedy of solitude, and inner conflict. These feelings significantly impacted</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This persistent grief can hinder their ability to find closure and move forward, leaving them with a lasting sense of loss and emotional turmoil.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>14</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-20">(Ebulum et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study sought to find out whether loneliness, stress, and religiosity would be associated with suicide ideation.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, martial status, family, occupation, suicidal ideation, loneliness, stress, and religiosity</p><break/></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Regression results showed that, whereas suicidal ideation could be increased by loneliness and stress, religious older adults were less likely to report suicidal ideation. Interventions aimed at managing and protecting the mental health of older adults during their transition to late adulthood should guard them against loneliness and buffer their resilience and coping strategies with the connectedness that religiosity offers.</p><break/></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Regression results showed that, whereas suicidal ideation could be increased by loneliness and stress, religious older adults werelesslikelytoreportsuicidalideation. Interventions aimed at managing and protecting the mental health of older adults during their transition to late adulthood should guard them against loneliness and buffer their resilience and coping strategies with the connectedness that religiosity offers.</p><break/></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Loneliness was identified as a significant positive predictor of suicidal ideation, suggesting that an increase in loneliness correlates with a rise in suicidal thoughts among older adults. This finding aligns with the interpersonal-psychological theory of suicidal behavior, which posits that an individual will not die by suicide unless they possess both the desire and ability to do so. According to this theory, if an individual feels a lack of belonging. and cannot contribute to societal growth, the desire to commit suicide may emerge</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>15</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-42">(Oumer et al., 2024)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This study aims to determine the prev- alence of depressive symptoms and the associated factors among the elderly population in the Gamo zone of south- ern Ethiopia.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, education lev- el, marital status, economic status, social support, and stressful life events.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study found that the prevalence of depressive symptoms among older individuals living in the Gamo zone was 424 (50.48%) (95% CI = 47.09-</p><p>53.86). Several factors were signif- icantly associated with depression, including age groups: 70–74 years [AOR = 2.81, 95% CI 1.64-4.81], 75</p><p>years and above [AOR = 5.09, 95% CI 3.00-8.64], and 65–69 years [AOR =</p><p>2.43, 95% CI 1.62-3.66]. Being wid-</p><p>owed was associated with an increased risk [AOR = 2.73, 95% CI 1.69-4.42].</p><p>Other significant factors included ever chewing khat [AOR = 5.89, 95% CI 1.17-29.53], poor economic status [AOR = 9.35, 95% CI 3.58-24.45],</p><p>average economic status [AOR = 5.36, 95% CI 2.15-13.37], experiencing 1–2 stressful life events [AOR = 5.13, 95% CI 3.35-7.86], and having three or more stressful life events [AOR = 11.02, 95% CI 6.59-18.41]. Addi-</p><p>tionally, living alone [AOR = 2.65, 95% CI 1.43-4.93] and living with</p><p>children [AOR = 3.16, 95% CI 1.70-</p><p>5.88] were also linked to higher rates of depression.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Participants exhibited depressive symptoms, highlighting the urgent need for interventions to enhance psychological well-being and ad- dress various modifiable risk fac- tors associated with depression in elderly individuals. Key strategies include increasing social support, particularly for those who have ex- perienced stressful life events, live alone, or have low economic sta- tus. Healthcare providers should implement routine screening for depressive symptoms and provide supportive counselling. Addition- ally, policymakers and stakeholders should prioritise improving access to mental health services to support this vulnerable population.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The findings of this study indicate that variables such as age, living arrangement, marital status, economic status, stressful life events, and substance use were significantly associated with depression in the multivariable analysis. However, depression showed no significant association with social support, educational status, or place of residence. In this study, marital status was significantly associated with depressive symptoms, with widowed older adults showing a notably higher likelihood of experiencing depression compared to their married counterparts. The research also identified a significant positive association between living arrangements and depressive symptoms; older adults living alone or with children were at greater risk of depression than those living with a spouse. Additionally, stressful life events emerged as significant risk factors for depression, with individuals who experienced such events being more likely to suffer from depressive symptoms than those who did not. Furthermore, the study found an association between substance use, particularly khat chewing, and depression symptoms, indicating that older adults who chewed khat were more likely to experience depression compared to those who did not engage in this behavior.</p></td></tr><tr><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>16</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p><xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref></p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>This paper discusses how widows in low resourced communi- ties of Binga District in Zimbabwe experi- ence social isolation and exclusion in crit- ical socio economic spheres.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Age, number, and gender of children, household size, and education level.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>Thematic data analysis findings revealed that, following the death of their husbands, widows are par- ticularly vulnerable to exclusion from critical decisions regarding accrued wealth, socio-economic amenities, and activities essential for their well-being and the wel- fare of their children. These find- ings underscore the urgent need for organised, integrated, negoti- ated professional and community social interventions. Such inter- ventions could empower widows, ensuring their involvement in de- cision-making processes and im- proving their access to resources supporting their livelihoods and families.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The study employed a qualitative research approach, phenomeno- logical research in December 2016 and January 2017 experienced by widows. Those with multiple chil- dren often face overwhelming re- sponsibilities, limiting their ability to engage socially and participate in community activities. Addi- tionally, a lack of education re- stricts their access to employment opportunities, perpetuating finan- cial instability and dependence. This economic hardship further exacerbates feelings of isolation, as widows may feel unable to seek help or connect with others in their community. Together, these factors create a cycle of vulnera- bility, underscoring the need for targeted support and resources to empower widows and enhance their social integration.</p></td><td colspan="1" rowspan="1" style="" align="left" valign="top"><p>The widows recounted experiences of isolation from major decisions that significantly affect them and their children. They described how certain cultural practices marginalised them socially, preventing their participation in critical decisions. For instance, deci- sions regarding arranged levirate mar- riages, their husbands' burial arrange- ments, and even the slaughtering of livestock for feeding funeral attendees were often made without their input. This exclusion undermines their auton- omy and perpetuates their vulnerability within the community, highlighting the urgent need for advocacy and reforms that empower widows in decision-mak- ing processes.</p></td></tr></tbody></table></table-wrap><p>Health challenges affecting widows</p><p>The thematic analysis of the data revealed several key findings regarding the health challenges and contributing psychological factors affecting widows in LMICs. The main health challenges retrieved in this review were divided into two major themes: mental health challenges such as depression, anxiety, and PTSD <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref><xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref><xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref><xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref> The second theme is physical health problems, including chronic diseases and malnutrition <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref><xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref><xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref><xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref>.</p><p>Reviewed studies revealed that widows commonly experienced mental health diseases, including stress, post-traumatic stress disorder (PTSD), and depression <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref><xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref><xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref><xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref>. Anxiety is the most potent of all the psychological variables constituting widows' stress <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref>. <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref> found that frustration, anger, memory, and anxiety independently contributed to widows' stress. <xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref> added that widows are associated with psychological distress, with heightened anxiety and depression. <xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref>suggested that widowhood directly influenced depression, regardless of coping styles and perceptions of aging. <xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref> emphasised that older widows often experienced psychological adjustments, including depression, hopelessness, loneliness, changes in life satisfaction, and perceptions of subjective health following the loss of their spouses.</p><p>On the other hand, physical health problems, including poor eyesight, arthritis, rheumatism, high blood pressure, diabetes, malaria, typhoid, cough, ulcer, osteoarthritis, chronic headache, and chronic diseases were identified among widows in LMICs <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref><xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref><xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref><xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref>. ( 2021) emphasised that widows in the Nsukka local government of Enugu state faced challenges such as high blood pressure levels at 160.2/100.4 and blood sugar levels at 129.8 Mg/dl. On top of that, many were diagnosed with typhoid and malaria parasites <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref>. <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref> identified six ear, nose, and throat (ENT) diseases, namely cerumen auris, left cerumen auris, otitis externa, otitis media, otitis media with effusion, otomycosis, and pharyngeal trauma, and twelve medical conditions: allergy, chronic headache, chronic ulcer, diabetes mellitus, insomnia, malaria, osteoarthritis, uncontrolled hypertension, and upper respiratory tract infection. <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref> also found high blood pressure levels of 180/110 mmHg and 250/100 mmHg in two widows. This result can lead to a cardiovascular accident (CVA), popularly called 'stroke', which can also cause sudden death through cardiac arrest <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>. <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref> highlighted types of chronic diseases such as diarrhoea, gastritis/gastric or peptic ulcer, whooping cough, skin diseases, kidney/ urinary system, tuberculosis, bronchial asthma, hypertension, mellitus diabetes, mental disorders, and eye diseases among older widows. <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref> revealed that the prevalence of communicable diseases was lower among young widows than older widows. <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref> also noted that non-communicable diseases increased significantly with age, as with other diseases. <xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref> noted that mental illness and chronic diseases were common among widows, with widowers experiencing a decline in physical health after the age of 70. <xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref> highlighted that widows are at a higher risk of poor health and HIV/AIDS infection. <xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref> discovered a correlation between PTSD in widows and various factors, including partner intimacy, cause of death, and number of surviving children. Additionally, the age of the first child was positively associated with the duration of widowhood, while the age of the last child is positively related to the duration of widowhood <xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref>).</p><p>Factors contributing to health challenges among widows</p><p>The psychological factors influencing the health and well-being of widows in LMICs are critical in understanding their overall experiences. The current review identified various themes as follows.</p><p>The thematic analysis revealed significant health challenges and contributing psychological factors affecting widows in LMICs. Prolonged grief and ambiguous loss were identified as key psychological factors among widows <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref><xref ref-type="bibr" rid="BIBR-30">(Kalantari et al., 2023)</xref><xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref><xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref><xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref>. The transition to widowhood introduces numerous health challenges, primarily stemming from prolonged grief following the loss of a spouse <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref>. It was also reported that widows who lost their spouses during the COVID-19 pandemic faced unique challenges due to the absence of traditional mourning ceremonies, compelling them to create their definitions and perceptions of grief <xref ref-type="bibr" rid="BIBR-30">(Kalantari et al., 2023)</xref>. <xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref> noted that widows in RMLM experience profound grief and spend considerable time grappling with the emotional and psychological toll of their loss. <xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref> identified patterns of psychological adaptation to spousal loss in old age. They shed light on the role of intra-and interpersonal resources and contextual factors as discriminant variables in these patterns. On the other hand, <xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref> highlighted that spousal loss is ambiguous among elderly widows, especially when they are not compensated and supported by the government and nongovernmental organisations, and family and religious organisations.</p><p>The current review identified depression and anxiety as significant psychological factors affecting widows in LMICs. Many widows experience elevated levels of these conditions following the loss of their spouses, with social isolation and economic instability often exacerbating their emotional distress <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref><xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref><xref ref-type="bibr" rid="BIBR-42">(Oumer et al., 2024)</xref>. Half of the study participants exhibited depressive symptoms, highlighting the urgent need for interventions to enhance psychological well-being and address various modifiable risk factors associated with depression in elderly individuals <xref ref-type="bibr" rid="BIBR-42">(Oumer et al., 2024)</xref>. Also, <xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref> highlighted that widowhood had a direct and positive influence on depression, regardless of coping styles and perceptions of aging. The same study also indicated that psychological factors played a role in the relationship between widowhood and depression <xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref>. <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref> added that widowhood had a direct and positive influence on depression, regardless of coping styles and perceptions of aging. Moreover, being widowed was found to be connected to feelings of loneliness in both men and women, with a stronger association observed in men. Social engagement was positively associated with family and nonfamily support in men and women, but it was negatively linked to loneliness, specifically in women <xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref>.</p><p>Social isolation is another psychological factor highlighted in this review <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref> <xref ref-type="bibr" rid="BIBR-20">(Ebulum et al., 2024)</xref> <xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref> <xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref>. <xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref> shared the importance of social assistance for widows, which cannot be overstated, as inadequate support is associated with increased isolation. Many widows actively seek friendships to combat social isolation, and they often express their feelings of depression and the struggle to survive <xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref>. Moreover, being widowed was found to be connected to feelings of loneliness in both men and women, with a stronger association observed in men. Social engagement was positively associated with both family and nonfamily support in men and women, but it was negatively linked to loneliness, specifically in women <xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref>. <xref ref-type="bibr" rid="BIBR-20">(Ebulum et al., 2024)</xref> highlighted that widows experienced a lack of social support, which most of the time reduced their sense of belongingness and increased social isolation, hence exposing them to a greater risk of suicide. Stress was also a significant positive predictor of suicidal isolation <xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref>. <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref> added that the chronological age of widows is significant as it influences their ability to cope with the stress associated with widowhood, isolation, and restricted mobility. Both young and older widows are susceptible to feelings of isolation, indicating that their challenges are not age-specific <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref>. Younger widows may struggle with societal expectations and the burden of raising children alone, while older widows may experience increased physical limitations and social withdrawal <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref>. Another psychological factor identified by this study is financial instability. Losing a partner often meant a significant reduction in household income, leading to economic challenges <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref> <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref> <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref> <xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref> <xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref> <xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref> <xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref>. Many widows reported struggles with basic needs such as healthcare, housing, and food. <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref> added that the number of children, lack of education, and financial instability following the death of their spouses contribute significantly to the isolation experienced by widows.</p><p>On the other hand, <xref ref-type="bibr" rid="BIBR-53">(Shafiq et al., 2024)</xref> highlighted that a widow faces new challenges daily. However, opportunities are also available, such as financial assistance and skill development programs offered by government institutions and the private sector. <xref ref-type="bibr" rid="BIBR-58">(Tshaka et al., 2023)</xref> added that financial instability is significant, as many widows lack support and are often unemployed, leading to a precarious economic situation. <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref> also insisted that the death of spouses often spells room for the economic resources of widows in low-resourced communities, in which many widows find themselves unable to access these resources, as they are frequently sidelined by in-laws who seize control of the assets. This exclusion not only undermines their financial stability but also perpetuates their vulnerability within the community, making it increasingly difficult for them to rebuild their lives, therefore, addressing these injustices is crucial to ensuring that widows can reclaim their economic rights and secure a better future for themselves and their families <xref ref-type="bibr" rid="BIBR-19">(Dube, 2022)</xref>. In addition, widows were more likely to receive family support, particularly among women, whereas there was no significant relationship between widowhood and nonfamily support for either gender <xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref>.</p><p>Managing the various health challenges affecting widows places a significant burden on both the individuals and their families <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>. Many young families were experiencing substantial stress in providing for their households, and the responsibility of caring for elderly widows only serves to intensify this strain <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>. Triadically, in line with this concerning trend, elderly widows often find themselves abandoned and neglected by their children, relatives, community, and society at large <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>. There is also a need for healthcare services that are identified as a psychological factor in this review <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref><xref ref-type="bibr" rid="BIBR-42">(Oumer et al., 2024)</xref>. <xref ref-type="bibr" rid="BIBR-42">(Oumer et al., 2024)</xref> added that policymakers and stakeholders should prioritise improving access to mental health services to support this vulnerable population, while widows <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref> highlighted several challenges that widows in LMICs are facing, including poor nutrition, inadequate shelter, lack of access to health care, and vulnerability to violence. Additionally, living conditions and environmental factors, such as residing in swampy areas, further contribute to the deteriorating health of widows <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref>. Moreover, widows face an increased risk of becoming inactive, isolating themselves from various community development initiatives <xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref>.</p><p>Morbidity prevalence was higher among older widows aged 70+ (49%) compared to those aged below 70 (31%). The prevalence of morbidity also increased with higher per capita expenditure percentile classes, with 43% of older widows in the highest expenditure class affected <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref>. <xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref> highlighted that factors such as the duration of marriage, spousal support, emotional impact of loss, trait resilience, and other in the literature (e.g., education, marital happiness) are associated with health challenges experienced by widows. Furthermore, considering various dimensions of well-being simultaneously can provide insights into how spousal loss affects an individual's response to this significant life event <xref ref-type="bibr" rid="BIBR-54">(Spahni et al., 2015)</xref>. On the other hand, <xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref> reported that widows who were forced to remarry were more susceptible to diseases, including HIV and STDs. Lifestyle, behavioural, and environmental factors have been identified as significant contributors to health challenges among older widows <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref>. The fear of contracting or transmitting HIV was a common concern expressed by widows in discussions about widow cleansing and inheritance practices <xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref>. Many widows interviewed in both semi-structured interviews and focus group discussions voiced worries about the potential spread of HIV within the community through unprotected sexual activity with inheritors <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref>. It is also added that engaging in sexual relations without using a condom with a new partner increases the risk of exposure to HIV, not only for the widows but also for their other long-term partners, such as spouses and fellow widows <xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref>. Rituals performed during mourning, such as cleansing, may lead to diseases among widows, attributed to the stimulation of the brain to produce more earwax, known as cerumen <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>. <xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref> noted that widows living with children were particularly vulnerable to mental illness and chronic diseases. <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref> highlighted widows' lack of legal rights as contributing to their challenges. Many widows were unaware of their rights and faced significant barriers to accessing justice systems, such as illiteracy, financial constraints, and the threat of violence. <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref> also mentioned that widows may be at risk of experiencing rape.</p><p>This systematic review includes findings from sixteen studies conducted in various LMICs. Two main themes were identified (<xref ref-type="table" rid="table-3">Table 4</xref>): health challenges affecting widows and factors contributing to health challenges among widows. This review is constrained by limitations related to the quality of included studies (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>), as many of them have small sample sizes (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>) and lack detailed information on methodological characteristics (<xref ref-type="table" rid="table-qfh21s">Table 1</xref>). It is crucial to acknowledge that different cultures can significantly influence well-being, which appears to be overlooked in countries like India and China, where factors contributing to health challenges among widows seem to be more emotional and psychological. These cultural variations can pose challenges when comparing studies from diverse regions. In these countries, poor socio-economic status is believed to increase health challenges among widows (<xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref>; <xref ref-type="bibr" rid="BIBR-25">(Halleröd &amp; Gustafsson, 2011)</xref>). Comparatively, in African countries such as Benin, Nigeria, and Malawi, factors like poverty, loneliness, and abandonment by late husbands' families were linked to health challenges among widows.</p><p>Numerous research studies have illuminated both mental and physical health challenges faced by widows, such as poor eyesight, arthritis, rheumatism, high blood pressure, diabetes, malaria, typhoid, cough, ulcers, osteoarthritis, chronic headaches, and chronic diseases (<xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref>; <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref>; <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>; <xref ref-type="bibr" rid="BIBR-61">(Zhou &amp; Hearst, 2016)</xref>). High blood pressure emerged as a prevalent health concern in the findings among the reviewed papers (<xref ref-type="bibr" rid="BIBR-2">(Agboeze et al., 2020)</xref>; <xref ref-type="bibr" rid="BIBR-4">(Agrawal &amp; Keshri, 2014)</xref>; <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>). <xref ref-type="bibr" rid="BIBR-44">(Perkins et al., 2016)</xref> observed a high incidence of high blood pressure among widows, particularly those who had recently lost their spouses. Widowhood has been connected to the development and severity of coronary artery disease <xref ref-type="bibr" rid="BIBR-15">(Daoulah et al., 2017)</xref>, as well as a spectrum of significant cardiovascular events <xref ref-type="bibr" rid="BIBR-9">(Carey et al., 2014)</xref>. This increased risk could be linked to the stress associated with bereavement, funeral arrangements, and emotional challenges that often accompany widowhood <xref ref-type="bibr" rid="BIBR-44">(Perkins et al., 2016)</xref>. Furthermore, widowhood has been shown to significantly elevate mortality rates across various population groups, even many years after the loss of a spouse <xref ref-type="bibr" rid="BIBR-10">(Carr &amp; Bodnar-Deren, 2009)</xref>.</p><p>Furthermore, mental health challenges are prevalent among widows, with stress, anxiety, mental illness, depression, PTSD, and complicated grief being commonly reported in studies <xref ref-type="bibr" rid="BIBR-8">(Busari &amp; Folaranmi, 2014)</xref><xref ref-type="bibr" rid="BIBR-21">(Ezeh, 2022)</xref><xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref><xref ref-type="bibr" rid="BIBR-39">(Myroniuk, 2016)</xref><xref ref-type="bibr" rid="BIBR-41">(Olawa et al., 2021)</xref>. <xref ref-type="bibr" rid="BIBR-35">(Li et al., 2022)</xref> highlighted the direct and significant impact of widowhood on depression, irrespective of coping mechanisms and perceptions of aging. Depression and anxiety are illustrated by the descriptions of the emotional pain and suffering that constitute the state of widowhood <xref ref-type="bibr" rid="BIBR-27">(Holm et al., 2019)</xref>. Other results have shown that a considerable number of widows meet the criteria for depression and/or complicated grief disorder, emphasising the emotional toll of widowhood <xref ref-type="bibr" rid="BIBR-7">(Burns et al., 2015)</xref><xref ref-type="bibr" rid="BIBR-18">(DiGiacomo et al., 2013)</xref><xref ref-type="bibr" rid="BIBR-43">(Panagiotopoulos et al., 2013)</xref>.</p><p>The current review identified eight key themes based on psychological factors affecting widows, which contribute to various health challenges. Widows often experience emotional pain associated with the loss of a partner, leading to prolonged grief responses that can impair daily functioning and mental health. <xref ref-type="bibr" rid="BIBR-56">(Szuhany et al., 2021)</xref> supported the idea that losing a loved one is one of life's greatest stressors. While most bereaved individuals experience a period of intense acute grief that gradually diminishes over time, approximately 10% will go on to develop a prolonged grief condition. This prolonged grief can hinder emotional recovery and significantly affect daily functioning, mental health, and overall well-being <xref ref-type="bibr" rid="BIBR-56">(Szuhany et al., 2021)</xref>. Again, emotional turmoil may also involve ambiguous loss, particularly in cases of sudden death or when the partner suffers from a prolonged illness, complicating the grieving process <xref ref-type="bibr" rid="BIBR-32">(Keyes et al., 2014)</xref>. Early in the 20th century, Freud proposed that grief can resemble conditions such as depression, anxiety, and post-traumatic stress <xref ref-type="bibr" rid="BIBR-23">(Gillies &amp; Neimeyer, 2006)</xref>. Research has shown that bereavement and grief share characteristics, including distress and depressive symptoms, which significantly impact overall health <xref ref-type="bibr" rid="BIBR-28">(Jacobsen et al., 2010)</xref>.</p><p>The current review highlights that depression and anxiety are among the psychological factors experienced by widows following the death of their spouse, with these conditions often exacerbated by social isolation and economic instability. The same results were observed in studies <xref ref-type="bibr" rid="BIBR-16">(Das, 2012)</xref><xref ref-type="bibr" rid="BIBR-44">(Perkins et al., 2016)</xref><xref ref-type="bibr" rid="BIBR-57">(Trivedi et al., 2009)</xref>. <xref ref-type="bibr" rid="BIBR-57">(Trivedi et al., 2009)</xref> highlighted that older widows appeared to be a significant risk factor for the development of depression symptoms. In addition, it turned out that higher education is a significant protective factor against the development of symptoms of depression <xref ref-type="bibr" rid="BIBR-57">(Trivedi et al., 2009)</xref>. In the early 20th century, Freud suggested that grief might resemble depression, anxiety, and posttraumatic stress <xref ref-type="bibr" rid="BIBR-23">(Gillies &amp; Neimeyer, 2006)</xref>. Bereavement and grief share characteristics such as distress and depression that affect health <xref ref-type="bibr" rid="BIBR-28">(Jacobsen et al., 2010)</xref>. Studies have also indicated that widows often experience physical symptoms like lack of energy, reduced appetite, weight loss, disrupted sleep patterns, and pain <xref ref-type="bibr" rid="BIBR-52">(Sekgobela et al., 2020)</xref>. These psychological challenges can severely impact their overall well-being and quality of life, highlighting the need for targeted support and interventions <xref ref-type="bibr" rid="BIBR-32">(Keyes et al., 2014)</xref>. Social isolation is a significant psychological factor affecting widows in LMICs identified in this review. The death of a partner frequently leads to a reduction in social support systems, which can result in profound feelings of loneliness and abandonment. As widows navigate their grief, they may withdraw from social interactions, either due to emotional pain or perceived stigma associated with widowhood. This isolation not only exacerbates their emotional distress but also hinders their ability to seek help and support from others. Consequently, the lack of social connections can lead to increased vulnerability to mental health issues, highlighting the need for interventions that foster community engagement and support networks for widows in these contexts. However, <xref ref-type="bibr" rid="BIBR-22">(Freak-Poli et al., 2022)</xref> add that loneliness is a greater challenge of widowhood than social isolation or a lack of social support. They proposed alternative strategies, such as helping the of identity and screening for loneliness around widowhood by healthcare workers, which could be beneficial <xref ref-type="bibr" rid="BIBR-22">(Freak-Poli et al., 2022)</xref>. There are strong beliefs that a widowed person should be isolated because she is thought to carry the spirit of the deceased. cultural beliefs reinforce the social isolation of widows, which can significantly detract from their psychological well-being <xref ref-type="bibr" rid="BIBR-47">(Remillard et al., 2022)</xref>. This enforced separation not only exacerbates feelings of loneliness but also hinders their ability to seek support from their communities, ultimately leading to increased mental health challenges.</p><p>Addressing and challenging these beliefs is essential for improving widows' social integration and well-being. Another psychological factor identified by this review is financial instability <xref ref-type="bibr" rid="BIBR-49">(Ryu &amp; Fan, 2023)</xref>. Losing a partner often meant a significant reduction in household income, leading to economic challenges <xref ref-type="bibr" rid="BIBR-48">(Ross &amp; Gale, 2021)</xref>. Many widows reported struggles with basic needs such as healthcare, housing, and food. Many widows took on additional caregiving responsibilities for children or elderly relatives, which added stress and limited their ability to care for themselves <xref ref-type="bibr" rid="BIBR-31">(Kansra &amp; Khadar, 2023)</xref>. Access to health care services was also highlighted as one of the psychological factors in this review. Economic constraints, transportation issues, and cultural norms often hindered widows' access to necessary healthcare services. Many reported difficulty obtaining medical care and medications <xref ref-type="bibr" rid="BIBR-14">(Cochran et al., 2022)</xref>. <xref ref-type="bibr" rid="BIBR-55">(Syed et al., 2013)</xref> highlighted that transportation barriers create significant obstacles to accessing healthcare, often resulting in delayed and missed appointments and inconsistent medication use. These challenges can severely impact individuals' overall health and well-being, particularly for vulnerable populations facing numerous hurdles in seeking medical care. Addressing transportation issues is essential to improve access to healthcare services and ensure patients receive timely and effective treatment <xref ref-type="bibr" rid="BIBR-55">(Syed et al., 2013)</xref>.</p><p>The current review also noted that certain rituals commonly performed by widows during mourning could potentially contribute to their health challenges <xref ref-type="bibr" rid="BIBR-5">(Akpalaba et al., 2021)</xref>. Rituals associated with bereavement, like makgoma observed among the Northern Sotho people of South Africa, also pose health challenges for widows who do not undergo proper cleansing rituals after the death of a family member <xref ref-type="bibr" rid="BIBR-37">(Makgahlela &amp; Sodi, 2016)</xref>. Thus, cultural beliefs surrounding makgoma may lead to symptoms resembling meningitis, further complicating the health and well-being of widows within these communities <xref ref-type="bibr" rid="BIBR-37">(Makgahlela &amp; Sodi, 2016)</xref>.</p></sec><sec><title>CONCLUSION</title><p>This review highlights the significant health challenges faced by widows in LMICs, with a particular focus on the psychological factors that contribute to their well-being. The analysis revealed that widows often experience a range of mental health issues, including depression, anxiety, and prolonged grief, exacerbated by social isolation and financial instability. Financial instability emerged as a critical psychological factor, leading to heightened stress and anxiety, which further impacted their overall health. The interplay between economic challenges, social support networks, and psychological well-being underscores the complexity of the issues faced by widows. To address these challenges, it is essential to develop targeted interventions that provide financial support and enhance mental health resources and social integration. Community-based programs that foster resilience and empower widows can significantly improve their quality of life. Future research should continue to explore the diverse experiences of widows in different cultural contexts, focusing on effective strategies to mitigate the psychological and health challenges they face. By understanding and addressing these factors, we can better support support widows and promote their overall well- being in LMICs.</p><p>To effectively support widows in LMICs, it is crucial to implement comprehensive interventions that address their mental health, economic stability, and social integration. Mental health services should be made accessible and tailored to the unique needs of widows, providing counselling and support to address issues such as depression and anxiety. Financial assistance programs, job training, and income-generating activities can alleviate economic pressures and empower widows to regain control of their lives. Additionally, community engagement initiatives that foster social connections and combat isolation should be prioritised, creating supportive networks for widows. Policymakers must advocate for the rights and well-being of widows, addressing cultural stigmas and ensuring access to healthcare and social services. 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