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    <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.v9i1.2804</article-id>
            <article-categories />
            <title-group>
                <article-title>The Role of Smartphone Addiction on Bed Procrastination and Mindful
                    Eating Behavior in Adolescents</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Rahayu</surname>
                        <given-names>Syiffa Azahra Tri</given-names>
                    </name>
                    <address>
                        <country>Indonesia</country>
                    </address>
                    <xref ref-type="aff" rid="AFF-1" />
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Caninsti</surname>
                        <given-names>Riselligia</given-names>
                    </name>
                    <address>
                        <country>Indonesia</country>
                        <email>riselligia.caninsti@yarsi.ac.id</email>
                    </address>
                    <xref ref-type="aff" rid="AFF-1" />
                    <xref ref-type="corresp" rid="cor-0" />
                </contrib>
            </contrib-group>
            <aff id="AFF-1">
                <institution-wrap>
                    <institution>Universitas YARSI</institution>
                    <institution-id institution-id-type="ror">https://ror.org/03a8rwx10</institution-id>
                </institution-wrap>
                <country country="ID">Indonesia</country>
            </aff>
            <author-notes>
                <corresp id="cor-0"><bold>Corresponding author: Riselligia Caninsti</bold>,
                    Universitas YARSI .Email:<email>riselligia.caninsti@yarsi.ac.id</email></corresp>
            </author-notes>
            <pub-date date-type="pub" iso-8601-date="2024-3-31" publication-format="electronic">
                <day>31</day>
                <month>3</month>
                <year>2024</year>
            </pub-date>
            <pub-date date-type="collection" iso-8601-date="2024-3-21"
                publication-format="electronic">
                <day>21</day>
                <month>3</month>
                <year>2024</year>
            </pub-date>
            <volume>9</volume>
            <issue>1</issue>
            <fpage>1</fpage>
            <lpage>13</lpage>
            <history>
                <date date-type="received" iso-8601-date="2023-10-10">
                    <day>10</day>
                    <month>10</month>
                    <year>2023</year>
                </date>
                <date date-type="accepted" iso-8601-date="2023-11-14">
                    <day>14</day>
                    <month>11</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright (c) 2024 Riselligia Caninsti, Syiffa Azahra Tri
                    Rahayu</copyright-statement>
                <copyright-year>2024</copyright-year>
                <copyright-holder>Riselligia Caninsti, Syiffa Azahra Tri Rahayu</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/2804"
                xlink:title="The Role of Smartphone Addiction on Bed Procrastination and Mindful Eating Behavior in Adolescents">The
                Role of Smartphone Addiction on Bed Procrastination and Mindful Eating Behavior in
                Adolescents</self-uri>
            <abstract>
                <p>Excessive smartphone use causes the behavior of delaying bedtime and decreasing
                    mindful eating in teenagers. The aim of this research is to find out and explain
                    how much the risk of smartphone addiction plays a role in increasing bed
                    procrastination behavior and decreasing mindful eating in adolescents. There
                    were 192 participants involved in the research with the sampling technique used
                    was convenience sampling. Participant characteristics include teenagers aged 18
                    – 21 years and have a cut off score for smartphone addiction. Each participant
                    filled out the Smartphone Addiction Scale Short Version for Adolescents, Bedtime
                    Procrastination Scale, and Mindful Eating Questionnaire questionnaires. Data
                    were analyzed using a simple regression method. Based on the results of the
                    regression test, it was found that the risk of smartphone addiction played a
                    6.1% role in increasing bed procrastination behavior and a 13.3% role in
                    reducing mindful eating behavior. The results of this study also found other
                    factors that play a role in procrastination behavior at bedtime and mindful
                    eating in teenagers besides excessive smartphone use. Therefore, it is hoped
                    that future research will be able to consider and look at other factors besides
                    the risk of smartphone addiction that play a role in bed procrastination and
                    mindful eating.</p>
            </abstract>
            <kwd-group>
                <kwd>Adolescents</kwd>
                <kwd>Bed Procratination</kwd>
                <kwd>Mindful Eating</kwd>
                <kwd>Smartphone Addiction</kwd>
            </kwd-group>
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                    <meta-value>2024</meta-value>
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    </front>
    <body>
        <sec>
            <title>INTRODUCTION</title>
            <p>Technological advances in this era lighten the burden of most human activities. This
                condition impacts lifestyle changes, especially healthy lifestyles for teenagers.
                Behavioral changes easily found in daily life are related to sleeping and eating
                behavior. Today's teenagers who grow up amidst technological developments tend to
                sleep less than the recommended sleep duration for their age and display unhealthy
                eating behavior, such as eating in a hurry, consuming much fast food, and not being
                aware of the amount of food or calories consumed.</p>
            <p>Research studies conducted by <xref ref-type="bibr" rid="BIBR-27">(Kroese et al.,
                2016)</xref> related to changes in the sleep behavior of teenagers found that modern
                society, especially teenagers, tends to delay bedtime or bed procrastination with a
                prevalence of 53.1%. <xref ref-type="bibr" rid="BIBR-28">(Kroese et al., 2014)</xref>
                defined delayed sleep time or bed procrastination as a behavior characterized by
                delayed sleep time and sleepless behavior experienced by a person and is not caused
                by interference from external factors. <xref ref-type="bibr" rid="BIBR-28">(Kroese
                et al., 2014)</xref> said there are three characteristics of bed procrastination:
                experiencing insufficient sleep, hours of sleep, and fatigue during the day.
                Experienced insufficient sleep or the experience of lack of sleep is a
                characteristic of bed procrastination when individuals feel that they do not have
                enough or maximum sleep time. Hours of sleep include factors related to how much
                time an individual spends sleeping. Meanwhile, fatigue during the day is related to
                how often individuals feel tired when doing activities.</p>
            <p>Bed procrastination behavior has an influence on reducing adolescents' ability to
                fulfill physiological needs, one of which is sleep <xref ref-type="bibr"
                    rid="BIBR-16">(Grandner, 2017)</xref>. Sleep plays a vital role in the
                development of cognitive function in adolescents. It is closely related to
                increasing cortical activity, oxygen in the body, and the release of epinephrine <xref
                    ref-type="bibr" rid="BIBR-47">(Syamsoedin et al., 2015)</xref>. The <xref
                    ref-type="bibr" rid="BIBR-46">(Suni &amp; Vyas, 2023)</xref> explained that the
                recommended sleep duration or time for teenagers is 8 to 10 hours in 1 day. However, <xref
                    ref-type="bibr" rid="BIBR-25">(Keyes et al., 2015)</xref> found that today's
                teenagers have experienced a decrease in sleep duration, namely less than 7 hours a
                day. Meanwhile, teenagers who sleep less than the recommended ideal duration or
                cannot meet their sleep needs tend to experience health problems related to sleep
                behavior <xref ref-type="bibr" rid="BIBR-48">(Trihono et al., 2013)</xref>. Not only
                that, teenagers with a high level of bed procrastination will usually postpone other
                activities, disrupting daily activities due to drowsiness, laziness, and lack of
                focus during activities <xref ref-type="bibr" rid="BIBR-28">(Kroese et al., 2014)</xref>
                .</p>
            <p>Apart from impacting changes in sleep behavior or the emergence of bed
                procrastination, there are also changes in the eating behavior of teenagers who have
                grown up in the digital era. This change in eating behavior refers to the decline in
                mindful eating in adolescents. Mindful eating is defined as a technique of paying
                full attention to eating behavior, which is characterized by not judging all forms
                of internal and external cues that influence the desire to eat, the type of food
                chosen, the amount of food consumed, and how to consume food <xref ref-type="bibr"
                    rid="BIBR-18">(Hanh &amp; Cheung, 2010)</xref>. Internal cues in mindful eating
                behavior relate to signals of hunger and fullness <xref ref-type="bibr"
                    rid="BIBR-26">(Kristeller &amp; Wolever, 2010)</xref>, while external cues
                relate to how much food is served and the environment in which eating behavior
                occurs <xref ref-type="bibr" rid="BIBR-49">(Wansink, 2004)</xref>. According to <xref
                    ref-type="bibr" rid="BIBR-11">(Framson et al., 2009)</xref>, mindful eating has
                five dimensions, namely Disinhibition (the ability to realize when individuals have
                difficulty controlling themselves when eating), Awareness (individuals can be fully
                aware of the shape, taste, and aroma of food), External cues (the individual can
                realize that external influences influence his eating behavior), Emotional response
                (the individual realizes that emotional impulses influence his eating behavior), and
                Distraction (the individual realizes that there are things that interfere with his
                eating behavior).</p>
            <p>Today's teenagers tend not to show mindful eating behavior but instead display
                mindless eating behavior. Mindless eating can occur when the behavior or desire to
                eat is not driven by hunger signals or the need to fulfill nutrition but by external
                cues such as family, friends, the color of food, the shape of the food, or the
                amount of food served. Not only that, but activities considered to be a distraction
                to eating behavior can also trigger mindless eating behavior <xref ref-type="bibr"
                    rid="BIBR-3">(Bahl et al., 2013)</xref>.</p>
            <p>This change in behavior or healthy lifestyle is caused, in part, by excessive use of
                smartphones. In this era of modern developments, followed by the development of
                digital technology, teenagers are considered the most significant group who use
                smartphones. This is proven by examples of teenagers' behavior when they spend their
                free time, namely playing with smartphones. Teenagers use smartphones for online
                shopping, playing games, watching YouTube, and surfing social media. This statement
                is in line with the results of research conducted by <xref ref-type="bibr"
                    rid="BIBR-2">(Andriani et al., 2019)</xref> that as many as 51.1% of teenagers
                in Indonesia use their smartphones for 3 - 5 hours, and another 22.2% use
                smartphones for a longer duration, namely more than 6 hours in one day. <xref
                    ref-type="bibr" rid="BIBR-13">(Gökçearslan et al., 2016)</xref> stated in their
                research that the duration of smartphone use can influence smartphone addiction
                behavior risk.</p>
            <p>Smartphone addiction is a compulsive or problematic behavior indicated by an
                individual's inability to regulate and control smartphone use, as well as an
                increase in the duration of its use <xref ref-type="bibr" rid="BIBR-31">(Lin et al.,
                2014)</xref><xref ref-type="bibr" rid="BIBR-32">(Lin et al., 2016)</xref>. Addiction
                to smartphones will have an impact on the emergence of health problems such as
                nerve, ear, eye, and sleep disorders <xref ref-type="bibr" rid="BIBR-34">(Mawitjere
                et al., 2017)</xref>. Not only that, excessive use of smartphones and leading to
                risky behavior for smartphone addiction also has an impact on the emergence of bed
                procrastination <xref ref-type="bibr" rid="BIBR-7">(Demirci et al., 2015)</xref> and
                mindless eating behavior <xref ref-type="bibr" rid="BIBR-1">(Alosaimi et al., 2016)</xref>
                .</p>
            <p>A study of adolescents in 8 countries proved that 75% of the participants stated that
                they always took their smartphone to bed and chose to delay their bedtime at night
                to use it <xref ref-type="bibr" rid="BIBR-9">(Duerson, 2012)</xref>. The behavior of
                delaying bedtime (bed procrastination) is caused by the emergence of teenagers'
                desire to continually use smartphones, such as accessing social media, playing
                games, etc. It does not stop there. Research conducted in 2019 also showed that as
                many as 63% of teenage participants slept less than 7 hours a day. This behavior is
                caused by teenagers' desire to continuously use smartphones, even though it is time
                to sleep or rest at night <xref ref-type="bibr" rid="BIBR-24">(Keswara et al., 2019)</xref>.
                Thus, the bed procrastination phenomenon commonly experienced by teenagers is caused
                by the desire to play on smartphones continuously.</p>
            <p>Not only does it impact the emergence of bed procrastination behavior, but excessive
                smartphone use in teenagers also increases mindless eating behavior. One of the
                causes of mindless eating behavior is using a smartphone while eating is in
                progress. Adolescents distracted by smartphone exposure while eating will reduce the
                quality of mindful eating, which is indicated by an increase in the amount of energy
                and fat consumed by 15%. In addition, using a smartphone while eating causes
                individuals to experience decreased focus on ongoing eating activities. Finally,
                teenagers who continue to use smartphones at mealtimes tend not to pay attention to
                the amount of food and the type of food they consume <xref ref-type="bibr"
                    rid="BIBR-14">(Gonçalves et al., 2019)</xref>.</p>
            <p>Research regarding the risks of smartphone addiction is essential for further
                investigation, primarily when the addictive behavior is associated with healthy
                behaviors such as sleeping and eating. Moreover, the number of teenagers using
                smartphones is increasing, and there has not been much research discussing
                smartphone use and procrastination behavior at bedtime and mindful eating in
                teenagers. Meanwhile, the <xref ref-type="bibr" rid="BIBR-51">(Organization, 2014)</xref>
                explained that adolescence is a period of individual development from childhood to
                adulthood and requires maximum nutritional intake to support its development.
                Individuals in the teenage age range must fulfill their sleep needs through adequate
                sleep <xref ref-type="bibr" rid="BIBR-20">(Jenco, 2016)</xref>. Adolescents also
                need appropriate and balanced nutritional intake to help with physical growth and
                development in other aspects <xref ref-type="bibr" rid="BIBR-17">(Hafiza et al.,
                2020)</xref>. Previous research by <xref ref-type="bibr" rid="BIBR-24">(Keswara et
                al., 2019)</xref> phones while eating can be judged to have smartphone addiction <xref
                    ref-type="bibr" rid="BIBR-45">(Stanszus et al., 2019)</xref>. Decreased
                focus/concentration due to distraction while eating is in progress is one of the
                characteristics that they have experienced smartphone addiction <xref
                    ref-type="bibr" rid="BIBR-40">(Örnek &amp; Gündoğmuş, 2022)</xref>.</p>
            <p>The explanation of the phenomenon above proves that the risk of smartphone addiction
                plays a role in the emergence of unhealthy behavior related to sleeping and eating
                behavior. For this reason, researchers will test two hypotheses as a temporary
                answer regarding the role of smartphone addiction risk on bed procrastination and
                mindful eating behavior in adolescents. The hypothesis of this research is
                formulated as follows: H1: The risk of smartphone addiction has a significant role
                in increasing bed procrastination behavior in adolescents; H2: The risk of
                smartphone addiction has a significant role in decreasing mindful eating behavior in
                adolescents,</p>
        </sec>
        <sec>
            <title>METHOD</title>
            <p>The type of this research is qualitative research. <xref ref-type="bibr"
                    rid="BIBR-50">(Watson, 2015)</xref> explained quantitative research as a type of
                research carried out to analyze a phenomenon using numerical data that is processed
                statistically. Then, the type of research used is associative to look at the role <xref
                    ref-type="bibr" rid="BIBR-21">(Jhangiani et al., 2019)</xref> of the risk of
                smartphone addiction on bed procrastination and mindful eating behavior in
                adolescents. The research population was late adolescents in Indonesia with the late
                adolescent age range proposed by <xref ref-type="bibr" rid="BIBR-36">(Monks et al.,
                2002)</xref>, namely 18 -21 years. Convenience sampling was used for this research,
                and 192 samples of late adolescents were obtained. All participants expressed their
                willingness to participate in the research and were willing to fill out the
                questionnaire given online via Google Forms.</p>
            <p>This research uses the Bedtime Procrastination Scale (BPS) measurement tool <xref
                    ref-type="bibr" rid="BIBR-28">(Kroese et al., 2014)</xref>, which experts have
                translated into Indonesian to measure the bed procrastination variable. The Bedtime
                Procrastination Scale has nine items with 5 Likert scales as answer choices, namely
                1 (never) and 5 (always). The BPS measuring instrument has several unfavorable
                items: items 2, 3, 7, and 9. The total score obtained from the BPS measuring
                instrument is 9 -45; the higher the score, the higher the individual's
                procrastination during sleep. Furthermore, the reliability testing technique used is
                Cronbach's Alpha internal consistency method. The results of the reliability test
                show that the Bedtime Procrastination Scale measuring instrument has a
                highreliability value of 0.678 with a confidence level of 95%. One example of an
                item in the Bedtime Procrastination measuring tool is "I still do other activities
                when it is time to sleep."</p>
            <p>The mindful eating variable was measured using an instrument compiled by <xref
                    ref-type="bibr" rid="BIBR-11">(Framson et al., 2009)</xref>, the Mindful Eating
                Questionnaire, which was translated into Indonesian by experts. The MEQ measuring
                tool comprises five factors: disinhibition, awareness, external cues, emotional
                response, and distraction. MEQ consists of 28 items with 4 Likert scales. There are
                several unfavorable items in the MEQ measuring tool, namely item numbers 3, 4, 5, 6,
                7, 8, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, and 28. The higher the average
                score, the better the mindful eating behavior displayed by the individual. Based on
                the reliability test using Cronbach's Alpha results, it can be explained that the
                Mindful Eating Questionnaire measuring instrument has high reliability with a
                reliability coefficient of 0.737, and the reliability coefficient of each dimension
                is in the range of 0.625 - 0.755. An example of an item in the Mindful Eating
                Questionnaire is, "If there is delicious food at an event, I will continue to eat
                that food even though I am full."</p>
            <p>This research uses a measuring instrument belonging to <xref ref-type="bibr"
                    rid="BIBR-29">(Kwon et al., 2013)</xref>, the Smartphone Addiction Scale Short
                Version for Adolescents (SAS-SV), translated into Indonesian, to measure smartphone
                addiction variables. The SAS-SV for Adolescents comprises ten items with a 6-point
                Likert scale from 1 (strongly disagree) to 6 (strongly agree). The total score range
                for the SAS-SV for Adolescents is 10 – 60 points. The higher the total score
                obtained, the higher the individual's risk of smartphone addiction. Cronbach's Alpha
                internal consistency is used to test the reliability of the SAS-SV measuring
                instrument. The reliability test results prove that the SAS-SV measuring instrument
                has a high-reliability coefficient, namely 0.796. One of the items in the SAS-SV for
                Adolescents measuring tool is "When using a smartphone, I neglect work that I should
                have completed."</p>
            <p>Furthermore, a simple regression test is the statistical method used to analyze
                research data. A simple regression test is carried out to analyze data statistically
                on one independent variable and one dependent variable to predict the value of the
                dependent variable (Y = Bed Procrastination and Mindful Eating) based on the value
                of the independent variable (X = Smartphone Addiction) and carrying out significance
                testing the role of independent variables in a regression equation <xref
                    ref-type="bibr" rid="BIBR-44">(Smadi &amp; Abu-Afouna, 2012)</xref>. In this
                study, the simple regression test was carried out twice because this study tested
                two dependent variables with one independent variable, namely a simple regression
                test on the variable bed procrastination on smartphone addiction and a simple
                regression test on the variables mindful eating and smartphone addiction.</p>
        </sec>
        <sec>
            <title>RESULTS AND DISCUSSION</title>
            <p>Based on the participant data collection process, 192 late adolescents in Indonesia
                participated and filled out the questionnaire. <xref ref-type="table"
                    rid="table-vaaoxd">Table 1</xref> shows that most participants are women (75%),
                have more than 4 hours of smartphone usage outside of study, school, and work (95%),
                and the average age of participants is 19.71 years.</p>
            <table-wrap id="table-vaaoxd" ignoredToc="">
                <label>Table 1</label>
                <caption>
                    <p>Research Demographic Data</p>
                </caption>
                <table frame="box" rules="all">
                    <thead>
                        <tr>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Variable</p>
                            </th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Total</p>
                            </th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">%</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td colspan="3" rowspan="1" style="" align="left" valign="top">
                                <p>Gender</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Male</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>48</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>25%</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Female</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>144</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>75%</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Age (mean= 19,71)</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>192</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>100%</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="3" rowspan="1" style="" align="left" valign="top">
                                <p>Smartphone usage duration outside of study, school, and</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>≥ 4 Hours</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>183</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>95%</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">&lt; 4
                                Hours</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>5%</p>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Furthermore, <xref ref-type="table" rid="table-hdvtk1">Table 2</xref> shows that the
                192 participants involved in the study were classified as having a high risk of
                smartphone addiction when viewed based on the cut-off score from the SAS-SV for
                Adolescents.</p>
            <table-wrap id="table-hdvtk1" ignoredToc="">
                <label>Table 2</label>
                <caption>
                    <p>Categorization of SAS-SV Scores for Adolescents</p>
                </caption>
                <table frame="box" rules="all">
                    <thead>
                        <tr>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Gender</p>
                            </th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">Cut Off
                                Score</th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">Total</th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Mean</p>
                            </th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Indication</p>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Male</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">≥31</td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">48</td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>41.77</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>High risk of smartphone addiction</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Female</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">≥33</td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">144</td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>41.76</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>High risk of smartphone addiction</p>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p><xref ref-type="table" rid="table-tj40mn">Table 3</xref> shows that all participant
                data in each measuring instrument is normally distributed (p&gt; 0.05).</p>
            <table-wrap id="table-tj40mn" ignoredToc="">
                <label>Table 3</label>
                <caption>
                    <p>Normality Test Results</p>
                </caption>
                <table frame="box" rules="all">
                    <thead>
                        <tr>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top" />
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Absolute</p>
                            </th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Asymp.Sig. (2-tailed)</p>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>SAS-SV with BPS</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>0.058</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">0.200</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">SAS-SV
                                with MEQ</td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>0.056</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>0.200</p>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>The next stage is testing the linearity assumption. <xref ref-type="table"
                    rid="table-qjf43c">Table 4</xref> contains the results of the linearity test
                using the ANOVA test, proving that all research power is linear (p&lt; 0.05).</p>
            <table-wrap id="table-qjf43c" ignoredToc="">
                <label>Table 4</label>
                <caption>
                    <p>Linearity Test Results</p>
                </caption>
                <table frame="box" rules="all">
                    <thead>
                        <tr>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Variable</p>
                            </th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">F</th>
                            <th colspan="1" rowspan="1" style="" align="left" valign="top">Sig</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>SAS-SV with BPS</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>11.419</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>&lt; 0.001</p>
                            </td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">SAS-SV
                                with MEQ</td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>26.952</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>&lt; 0.001</p>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Next, <xref ref-type="table" rid="table-qhcudq">Table 5</xref> shows the results of
                the simple regression analysis to test the research hypothesis. Hypothesis testing
                was carried out because this research met the assumption test.</p>
            <table-wrap id="table-qhcudq" ignoredToc="">
                <label>Table 5</label>
                <caption>
                    <p>Hypothesis Test Analysis Results</p>
                </caption>
                <table frame="box" rules="all">
                    <thead>
                        <tr>
                            <th colspan="1" rowspan="2" style="" align="center" valign="middle">
                                <p>No</p>
                            </th>
                            <th colspan="2" rowspan="1" style="" align="center" valign="middle">
                                Variabel</th>
                            <th colspan="1" rowspan="2" style="" align="center" valign="middle">
                                <p>R2</p>
                            </th>
                            <th colspan="1" rowspan="2" style="" align="center" valign="middle">
                                <p>B</p>
                            </th>
                            <th colspan="1" rowspan="2" style="" align="center" valign="middle">
                                <p>p</p>
                            </th>
                            <th colspan="1" rowspan="2" style="" align="center" valign="middle">
                                <p>Significance</p>
                            </th>
                        </tr>
                        <tr>
                            <th colspan="1" rowspan="1" style="" align="center" valign="middle">
                                <p>Eksogen</p>
                            </th>
                            <th colspan="1" rowspan="1" style="" align="center" valign="middle">
                                <p>Endogen</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>Smartphone addiction</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Bed procrastination</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>0.061</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>0.110</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>&lt; 0.001</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Significant</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>Smartphone addiction</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Mindful Eating</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>0.133</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>-0.275</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>&lt; 0.001</p>
                            </td>
                            <td colspan="1" rowspan="1" style="" align="left" valign="top">
                                <p>Significant</p>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Based on the results of hypothesis testing using regression analysis in <xref
                    ref-type="table" rid="table-qhcudq">Table 5</xref>, it is proven that smartphone
                addiction risk behavior plays a significant role in all endogenous variables
                measured in this study, namely bed procrastination and mindful eating. The results
                of the regression analysis show that risk behavior for smartphone addiction plays a
                positive role in increasing procrastination during sleep. Apart from that, this
                research also succeeded in proving that smartphone addiction risk behavior plays a
                negative role in reducing mindful eating behavior. Smartphone addiction risk
                behavior has a significant role of 6.1% in increasing procrastination behavior
                during sleep. Second, smartphone addiction risk behavior has a significant role of
                13.3% in decreasing mindful eating behavior.</p>
            <p>Smartphone addiction behavior is defined as a behavior characterized by compulsive
                behavior and a person's inability to regulate or control smartphone use, as well as
                experiencing an increase in the duration of its use (<xref ref-type="bibr"
                    rid="BIBR-31">(Lin et al., 2014)</xref>, <xref ref-type="bibr" rid="BIBR-32">(Lin
                et al., 2016)</xref>). One of the problems caused by the risk of smartphone
                addiction is problems with sleep behavior <xref ref-type="bibr" rid="BIBR-34">(Mawitjere
                et al., 2017)</xref>. These sleep problems are caused by increased bed
                procrastination behavior due to individuals experiencing the risk of smartphone
                addiction <xref ref-type="bibr" rid="BIBR-7">(Demirci et al., 2015)</xref>.</p>
            <p>Research conducted by <xref ref-type="bibr" rid="BIBR-19">(Jarmi &amp; Rahayuningsih,
                2017)</xref> explained further the risk of smartphone addiction in increasing
                procrastination during sleep. His research explained that teenagers who use
                smartphones before bed could make the RAS (Reticular et al.) system, which is
                responsible for regulating sleep in the brain center, active again. The activation
                of the RAS system results from stimuli emitted by smartphones, such as sound,
                vibration, and light, making it difficult for teenagers to start sleeping. <xref
                    ref-type="bibr" rid="BIBR-30">(Lam, 2014)</xref> stated in his research that
                teenagers who actively use smartphones excessively are always associated with the
                emergence of procrastination behavior at bedtime at night when it is time to sleep.
                This can happen because the risk of smartphone addiction can make teenagers focus
                more on something that is considered fun for them, namely smartphones. Then,
                ignoring sleep time to use or play with smartphones <xref ref-type="bibr"
                    rid="BIBR-41">(Pandey et al., 2019)</xref>.</p>
            <p>The results of this study are in line with previous findings regarding the impact of
                the risk of smartphone addiction on the emergence of bed procrastination behavior.
                Research conducted on 521 students in China revealed that as many as 96.08% of
                participants had the habit of using smartphones before going to bed, and 71.90% of
                them preferred to continue using and playing smartphones after 23.00 at night <xref
                    ref-type="bibr" rid="BIBR-12">(Geng et al., 2021)</xref>. Not only that, in
                2019, there was a study that found that 12% of 815 teenage participants chose to
                continue using smartphones for 3 – 5 hours in the middle of the night rather than
                using the night time to sleep and rest <xref ref-type="bibr" rid="BIBR-42">(Rod et
                al., 2018)</xref>. The results of this study further strengthen the results of this
                study and prove that the risk of smartphone addiction experienced by teenagers plays
                a role in increasing bed procrastination behavior</p>
            <p>Previous studies have explained that bed procrastination behavior is closely related
                to smartphone addiction risk behavior. This is supported by research conducted by <xref
                    ref-type="bibr" rid="BIBR-27">(Kroese et al., 2016)</xref> that the risk of
                smartphone addiction can make individuals experience an unwillingness to stop
                activities seeking pleasure via their smartphone and have an impact on decreasing
                motivation to sleep at night. <xref ref-type="bibr" rid="BIBR-12">(Geng et al.,
                2021)</xref> said something similar that individuals will tend to delay their
                bedtime for more time to relax and entertain themselves by playing with their
                smartphones. Not only that, according to the results of research conducted by <xref
                    ref-type="bibr" rid="BIBR-6">(Chung et al., 2020)</xref>, teenagers who are in
                the high bed procrastination category tend to spend more time using smartphones for
                more than 7 hours a day, including 3 hours before bedtime, even the duration of
                smartphone use will increase as it approaches bedtime. Sleep. This is in line with
                the factors that cause the emergence of bed procrastination. Namely, using
                electronic media such as smartphones can cause individuals to delay their sleep <xref
                    ref-type="bibr" rid="BIBR-15">(Gradisar et al., 2013)</xref>. Thus, it can be
                concluded that teenagers procrastinate at bedtime due to the desire to use
                smartphones, which are considered a source of online pleasure.</p>
            <p>Furthermore, the risk of smartphone addiction also has a significant role of 13.3% in
                re-ducing mindful eating behavior in teenagers. <xref ref-type="bibr" rid="BIBR-14">(Gonçalves
                et al., 2019)</xref> explained in their research that using a smartphone while
                eating has an impact on reducing mindful eating and is followed by an increase in
                the amount of calorie intake into the body by 15%, as well as excessive fat
                consumption. This happens because teenagers continue to use their smartphones while
                eating, making it difficult or even impossible to realize how much food they have
                consumed because they are too focused on their smartphones. They also prefer to skip
                meals to play on their smart-phones or choose to eat fast food, which is more
                practical. This is what ultimately makes the eat-ing behavior of teenagers addicted
                to smartphones change to mindless eating <xref ref-type="bibr" rid="BIBR-23">(Kartal
                &amp; Ayhan, 2021)</xref>. Mindless eating can occur when the behavior or desire to
                eat is not driven by hunger sig-nals or the need to fulfill nutrition but by
                external cues such as family, friends, the color of food, the shape of the food, or
                the amount of food served. Not only that, but activities considered to be a
                distraction to eating behavior can also trigger mindless eating behavior <xref
                    ref-type="bibr" rid="BIBR-3">(Bahl et al., 2013)</xref>.</p>
            <p>Furthermore, disinhibition is associated with each dimension of mindful eating, a
                condition when an individual realizes he cannot control himself. At the same time,
                eating ac-tivities occur <xref ref-type="bibr" rid="BIBR-11">(Framson et al., 2009)</xref>.
                The results of this research are research studies con-ducted by <xref
                    ref-type="bibr" rid="BIBR-38">(Ogden et al., 2013)</xref> and <xref
                    ref-type="bibr" rid="BIBR-8">(Dohle et al., 2018)</xref>, which prove that using
                a smartphone while eating will make it difficult for individuals to realize when
                they cannot control the food they consume. Also, using smartphones, which has become
                a lifestyle and habit for teenag-ers, may affect their ability to remain aware when
                they have overeaten <xref ref-type="bibr" rid="BIBR-2">(Andriani et al., 2019)</xref></p>
            <p>The second dimension in mindful eating, namely awareness, can also be linked based on
                research results, proving that smartphone addiction's risk plays a role in
                decreasing mind-ful eating. According to <xref ref-type="bibr" rid="BIBR-11">(Framson
                et al., 2009)</xref>, the awareness dimension relates to how teen-agers can give
                full attention and awareness to their food's shape, taste, texture, and aro-ma. The
                results of this study are and can provide new evidence from a study conducted by <xref
                    ref-type="bibr" rid="BIBR-37">(Moray et al., 2007)</xref> and <xref
                    ref-type="bibr" rid="BIBR-39">(Oldham-Cooper et al., 2011)</xref>, who stated
                that using a smartphone while eating can reduce awareness of food, eating
                situations, and the amount consumed.</p>
            <p>Then, the risk of smartphone addiction, which plays a role in reducing mindful
                eating, can also be interpreted as being able to reduce the external cues dimension
                in mind-ful eating. Several external factors that influence eating behavior are food
                advertisements, the amount of food served, and environmental conditions during the
                eating activity <xref ref-type="bibr" rid="BIBR-11">(Framson et al., 2009)</xref>.
                The results of this research are in line with a study conducted by <xref
                    ref-type="bibr" rid="BIBR-43">(Slobodan &amp; Sosic, 2012)</xref> that the
                increasingly rapid development of technology and the ease with which individuals can
                access various information via smartphones is one of the rea-sons current eating
                behavior is heavily influenced and even driven by exposure to advertising.</p>
            <p>Not only that, research results found that the risk of smartphone addiction plays a
                role in reducing mindful eating and can also be related to the emotional response
                dimension. This research found that the risk of smartphone addiction could be the
                reason teenagers consume food because of negative emotional impulses. In other
                words, the risk of smartphone addiction has an impact on the emergence of emotional
                overeating behavior <xref ref-type="bibr" rid="BIBR-10">(Etuk et al., 2022)</xref>.
                This is inversely proportional to the meaning of mindful eating, where when
                teenagers apply mindful eating, the purpose of teenagers' eating is to fulfill their
                hunger needs, not to fulfill the nega-tive emotions they feel <xref ref-type="bibr"
                    rid="BIBR-11">(Framson et al., 2009)</xref>. The connection with smartphone
                addiction is that teenagers who are at risk of smartphone addiction have difficulty
                controlling emotions, especial-ly negative emotions that arise as a result of
                smartphone use <xref ref-type="bibr" rid="BIBR-35">(Mohta &amp; Halder, 2021)</xref>.
                Nega-tive emotions arise, such as anger and sadness. These emotions are caused by
                unpleasant things such as defeat or disappointment when using a smartphone <xref
                    ref-type="bibr" rid="BIBR-4">(Caner &amp; Evgin, 2021)</xref>. This neg-ative
                emotion can trigger emotional eating as an emotional response to the situation.
                Chang's (2021) research results prove that teenagers who play online games on
                smartphones and expe-rience defeat tend to generate negative emotions such as anger,
                frustration, disappointment, and sadness. The emergence of negative emotions makes
                eating a form of compensation and a form of decreased awareness that emotional
                factors drive the eating behavior carried out. </p>
            <p>In the process, this research still has shortcomings. This can be a consideration for
                further research. Some of these shortcomings include research related to the role of
                the risk of smartphone addiction on bed procrastination, which was only able to
                prove its role at 6.1%. The remaining 93.9% is due to unmeasured factors such as
                self-regulation and low knowledge and awareness of the importance of sleep and
                fulfilling sufficient sleep time <xref ref-type="bibr" rid="BIBR-22">(Kadzikowska-Wrzosek,
                2020)</xref>. Then another weakness of this research is that the distribution of
                data between men and women is not balanced. In contrast, the number of teenagers in
                Indonesia is quite large, so the data distributed to men and women should be equal.
                This happened because the teenagers who acted as participants only came from the
                area where the researcher lived, and there were no regular checks regarding the data
                distribution. Then, in the demographic data section, the researchers did not ask
                questions to ensure that the participants involved in this study used smartphones
                before sleeping and while eating. Apart from that, this research has not revealed
                other factors considered to play a role in sleep procrastination and mindful eating,
                such as internal factors, external factors, situations, and social-environmental
                factors. Not only that, but the sample obtained in this study was 192. It is still
                challenging to generalize considering an extensive location, so future research
                should examine only specific locations and use other sampling techniques.
                Furthermore, future research is expected to pay attention to the distribution of
                participant data and look at other fac-tors that are considered to play a role in
                procrastination behavior during sleep and mindful eating.</p>
        </sec>
        <sec>
            <title>CONCLUSION</title>
            <p>The results of this research help understand the lifestyle of modern teenagers today.
                The results of the study answer the research objectives and prove that changes in
                adolescent lifestyles in sleep patterns and eating patterns are significantly
                influenced by smartphone addiction risk behavior. Smartphone addiction risk behavior
                plays a role in increasing procrastination behavior at bedtime, as well as
                decreasing mindful eating behavior in adolescents. Previous findings support these
                results that teenagers desire to use smartphones all the time, even at times that
                should not require smartphone use, such as when going to bed and eating. Excessive
                smartphone use behavior supports the emergence of increased procrastination during
                sleep and reduces mindful eating behavior. The findings in this study contribute to
                helping understand teenagers' lifestyles due to excessive use of smartphones by
                looking at the impacts related to healthy behavior. The research findings can also
                be helpful as information for psychologists and counselors about smartphone
                addiction by considering factors related to procrastination behavior at bedtime and
                mindful eating, especially in adolescents.</p>
        </sec>
    </body>
    <back>
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