<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dtd-version="1.3" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2026.1757016</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Craving under pressure: the interplay between hedonic hunger, mental health, and ultra-processed food consumption in shift-workers</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Akin</surname> <given-names>Elif</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
</contrib>
<contrib contrib-type="author">
<name><surname>Bayram</surname> <given-names>Hatice Merve</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Software" vocab-term-identifier="https://credit.niso.org/contributor-roles/software/">Software</role>
<uri xlink:href="https://loop.frontiersin.org/people/2622552"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ozturkcan</surname> <given-names>Arda</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x00026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<uri xlink:href="https://loop.frontiersin.org/people/3163034"/>
</contrib>
</contrib-group>
<aff id="aff1"><institution>Department of Nutrition and Dietetics, Faculty of Health Sciences, Istanbul Gelisim University</institution>, <city>Istanbul</city>, <country>T&#x000FC;rkiye</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Arda Ozturkcan, <email xlink:href="mailto:turkcana@hotmail.com">turkcana@hotmail.com</email></corresp>
<fn fn-type="other" id="fn001"><label>&#x02020;</label><p>ORCID: Elif Akin <uri xlink:href="https://orcid.org/0009-0006-6567-8287">orcid.org/0009-0006-6567-8287</uri>; Hatice Merve Bayram <uri xlink:href="https://orcid.org/0000-0002-7073-2907">orcid.org/0000-0002-7073-2907</uri>; Arda Ozturkcan <uri xlink:href="https://orcid.org/0000-0001-7982-6988">orcid.org/0000-0001-7982-6988</uri></p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-12">
<day>12</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1757016</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>28</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Akin, Bayram and Ozturkcan.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Akin, Bayram and Ozturkcan</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-12">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Shift-work is linked to irregular eating patterns and greater ultra-processed food (UPF) intake, potentially driven by hedonic hunger and psychological distress. This study aimed to examine the relationship between hedonic hunger, UPF consumption, and mental health among shift-working healthcare professionals.</p></sec>
<sec>
<title>Methods</title>
<p>In this cross-sectional analytical observational study, 326 healthcare shift-workers (66.9% female) completed questionnaires including sociodemographic details, the Power of Food Scale (PFS-Tr), the Single-Item Food Choice Questionnaire (FCQ), the Depression Anxiety Stress Scale (DASS-21), and the short screening questionnaire for highly processed food consumption (sQ-HPF).</p></sec>
<sec>
<title>Results</title>
<p>63.2% were categorized as high-level UPF consumers. PFS-Tr scores correlated positively with UPF intake, FCQ, depression, stress, and anxiety. Hedonic hunger was significantly associated with UPF consumption directly (&#x003B2; = 0.112) and indirectly through stress (&#x003B2; = 0.209).</p></sec>
<sec>
<title>Conclusion</title>
<p>Hedonic hunger was associated with UPF intake in shift-workers through psychological distress and food motivation.</p></sec></abstract>
<kwd-group>
<kwd>food choice</kwd>
<kwd>hedonic hunger</kwd>
<kwd>mental health</kwd>
<kwd>shift work</kwd>
<kwd>stress</kwd>
<kwd>ultra-processed foods</kwd>
</kwd-group>
<funding-group>
  <funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="10"/>
<word-count count="6783"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health and Nutrition</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Following the Industrial Revolution, societies structured time around a work-life dichotomy, with conventional working hours dominating until the mid-20th century. However, technological and economic advancements led organizations to extend work schedules to 24/7 operations, resulting in nonstandard work arrangements such as shift work, night work, and weekend work (<xref ref-type="bibr" rid="B1">1</xref>). Shift work is generally defined as a work schedule where different teams rotate to cover most or all of the 24-hour day (<xref ref-type="bibr" rid="B2">2</xref>). Shift work is performed by around 15% to 20% of employees in Europe, 20% in the US, 6% to 32% in Asia and 8% in Poland (<xref ref-type="bibr" rid="B3">3</xref>). One of the sectors in which shift work is comon is the healthcare sector. Paramedics, nurses and doctors represent the medical professions (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>The work system has an impact on both lifestyle and health. Research highlights shift work and night work as the most detrimental schedules, negatively affecting workers&#x00027; health, family and social life, and overall organizational dynamics (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). A widely debated issue is the impact on the health of people working different schedules (day, night or rotating) (<xref ref-type="bibr" rid="B6">6</xref>). People who work night shifts and rotating shifts often face greater health risks than their daytime counterparts. The health implications for people with different working patterns go beyond metabolic syndrome and risk factors such as obesity (<xref ref-type="bibr" rid="B7">7</xref>). Studies suggest that night shift work can elevate the risk of several health problems such as cardiovascular diseases, gastrointestinal disorders, psychological problems and even certain cancers, particularly breast and colorectal cancer (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B11">11</xref>). This increased risk is attributed to circadian disruption. Circadian disruption affects biological functions, alters hormone levels and leads to sleep disturbances (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Shift work is a critical factor influencing eating behaviors. Shift work has been found to be associated with higher food insecurity among US workers, indicating a lack of access to adequate nutrition (<xref ref-type="bibr" rid="B12">12</xref>). This is particularly relevant for healthcare workers who work non-standardized hours and face difficulties in maintaining a healthy diet due to disrupted dietary patterns. The literature has shown that shift workers, particularly night shift workers, tend to make unhealthy food choices, including greater consumption of sandwiches, cakes, potato chips, and biscuits, fried foods and lower intake of fruit and vegetables, compared to their day shift colleagues (<xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>). Moreover, the timing of food intake is crucial. It has often been observed that night eating patterns that deviate from traditional mealtimes can lead to adverse physiological outcomes among night shift workers (<xref ref-type="bibr" rid="B16">16</xref>). Inappropriate meal times can affect the body&#x00027;s circadian rhythms. Furthermore, this dietary change can exacerbate health problems, as poor eating habits are associated with an increased risk of cardiometabolic disease among shift workers.</p>
<p>Additionally, the unique working conditions and stress associated with healthcare roles can further complicate nutritional status. A study reported that high stress levels can lead to unhealthy eating behaviors, contributing to deteriorating health markers like obesity (<xref ref-type="bibr" rid="B6">6</xref>). Similarly, Gao et al. identified a clear association between shift work and adverse health outcomes, reinforcing the notion that shift work affects nutrition and other health parameters (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>In this context, hedonic hunger represents a key psychological mechanism through which occupational stress, circadian disruption, and constrained food environments may shape eating behavior among shift-working healthcare professionals. Hedonic hunger refers to a reward-driven tendency to consume palatable foods in the absence of physiological need, reflecting heightened sensitivity to food-related cues. In shift work, it is conceptualized as a context-sensitive disposition that may be amplified under conditions of stress, fatigue, and circadian disruption, rather than as a stable personality trait. These conditions are particularly relevant for healthcare professionals working shifts. There is a consensus that healthcare organizations should establish interventions that promote healthier eating habits among shift workers, but there are no evidence-based nutrition guidelines specifically tailored for shift workers. This is vital not only for individual health but also for the overall effectiveness of healthcare service delivery, as poor nutrition can hinder job performance and quality of patient care (<xref ref-type="bibr" rid="B18">18</xref>). Addressing nutritional deficiencies and promoting better health practices among shift-working healthcare workers is essential for improving their well being and working conditions. Therefore, the aim of this study was to evaluate the relationship between ultra-processed food (UPF) consumption, hedonic hunger and mental health among shift-working healthcare professionals.</p></sec>
<sec id="s2">
<title>Methods</title>
<sec>
<title>Study design and participants</title>
<p>The study was designed as a cross-sectional analytical observational study, and was conducted on health professionals with shift work in Istanbul between 30 November 2024 and 30 March 2025.</p>
<p>The study population consisted of healthcare professionals working in shift-based systems in a tertiary healthcare hospital in Istanbul, T&#x000FC;rkiye. Due to the absence of an institutional registry specifying the exact number of shift-working staff, the total population size was unknown. Accordingly, sample size adequacy was determined based on an a priori power analysis.</p>
<p>An online questionnaire including demographic characteristics, Power of Food Scale (PFS-Tr), Single-Item Food Choice Questionnaire (FCQ), Depression, Anxiety, Stress Scale (DASS-21), and a short screening questionnaire of ultra-processed food (UPF) consumption (sQ-HPF) was applied to the participants. Within the scope of this study, power analysis was performed using G<sup>&#x0002A;</sup>power to determine the sample size to examine the relationship between UPF consumption and hedonic hunger. Since correlation analysis was planned over a single group, a medium effect size (<italic>r</italic> = 0.3), 5% significance level (&#x003B1; = 0.05) and 95% power level (1 - &#x003B2; = 0.95) were used in the calculations. According to the results of the analyses, the minimum sample size required to analyse the relationship between these parameters was determined as 289 participants.</p>
</sec>
<sec>
<title>Power of food scale</title>
<p>The Power of Food scale (PFS) was developed by Cappelleri et al. (<xref ref-type="bibr" rid="B19">19</xref>). Turkish validity and reliability of PFS (PFS-Tr) were conducted by &#x000DC;lker et al. (<xref ref-type="bibr" rid="B20">20</xref>). The 5-point Likert-type scale (1: strongly disagree, 5: strongly agree) consists of 13 questions and 3 sub-dimensions: food available, food present, and food tasted. The total PFS-Tr score and the subscale score are obtained by summing the scores of the items and dividing the sum by the number of items.</p>
</sec>
<sec>
<title>Depression, anxiety, stress scale</title>
<p>Depression, anxiety, and stress symptoms were assessed using the Depression, Anxiety, and Stress Scale Short Form (DASS-21) which was originally developed by Lovibond and Lovibond (<xref ref-type="bibr" rid="B21">21</xref>). Sari&#x000E7;am conducted an evaluation to assess the validity and reliability of the Turkish version of the DASS-21 (<xref ref-type="bibr" rid="B22">22</xref>). The questionnaire comprised seven items for each of the three scales (depression, anxiety and stress) designed to measure the negative emotional states of the scales. It employed a 4-point Likert-type scale, with the sum of the scores obtained multiplied by 2 and then evaluated in accordance with the severity rating index. For depression, the scores between 0 and 4 are defined as normal, 5&#x02013;6 as mild depression, 7&#x02013;10 as moderate depression, 11&#x02013;13 as severe depression, and &#x0003E;13 as very severe depression. For anxiety, the scores between 0 and 3 are defined as normal, 4&#x02013;5 as mild anxiety, 6&#x02013;7 as moderate anxiety, 8&#x02013;9 as severe anxiety, and &#x0003E; 9 as very severe anxiety. For stress, the scores between 0 and 7 are defined as normal, 8&#x02013;9 as mild stress, 10&#x02013;12 as moderate stress, 13&#x02013;16 as severe stress, and &#x0003E; 16 as very severe stress (<xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec>
<title>Single-item food choice questionnaire</title>
<p>The aim of the Single-Item Food Choice Questionnaire (FCQ) developed by Onwezen et al. (<xref ref-type="bibr" rid="B23">23</xref>) is to determine which factors are effective in individuals&#x00027; food preferences. Turkish validity and reliability of the scale were performed by Haydaroglu et al. (<xref ref-type="bibr" rid="B24">24</xref>). The 7-point Likert-type scale consists of 11 items and the increase in the score indicates that the factor is effective in food selection.</p>
</sec>
<sec>
<title>Short screening questionnaire of highly processed food consumption</title>
<p>The short screening questionnaire of highly processed food consumption scale (sQ-HPF) was developed by Martinez-Perez et al. (<xref ref-type="bibr" rid="B25">25</xref>). Turkish validity and reliability were performed by Erdogan G&#x000F6;mez et al. (<xref ref-type="bibr" rid="B26">26</xref>). The scale consists of 11 food groups and each food group is scored between 0 and 1 point, 6 scores and above is considered as high level UPF consumption.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All statistical analyses were performed using IBM SPSS Statistics version 24.0. Descriptive statistics were calculated for all variables, and results were presented as means and standard deviations for continuous variables, and frequencies and percentages for categorical variables. Internal consistency reliability of all multi-item scales was assessed using Cronbach&#x00027;s alpha coefficients. The Kolmogorov-Smirnov test was used to test the normality of the variables. Group comparisons according to shift duration tertiles and gender were conducted using Kruskal-Wallis test, for continuous variables, and chi-square tests for categorical variables. Spearman correlation analyses were used to assess the associations between age, BMI, PFS-Tr scale and sub-scales, sQ-HPF scale, FCQ scale, and DASS-21 scale. Linear regression analyses were conducted to determine predictors of hedonic hunger and UPF consumption. Model fit was evaluated using the coefficient of determination (R<sup>2</sup>), representing the proportion of variance explained by each regression model. To investigate whether stress, depression, anxiety, and BMI mediated the relationship between hedonic hunger and UPF consumption, mediation analyses were conducted using the Baron and Kenny (1986) approach (<xref ref-type="bibr" rid="B27">27</xref>). These analyses were conducted in an exploratory manner to examine potential indirect associations and should not be interpreted as implying temporal or causal ordering among the variables. Each model tested three regression paths: (a) the effect of hedonic hunger on the mediator, (b) the effect of the mediator on UPF consumption while controlling for hedonic hunger, and (c) the total effect of hedonic hunger on UPF consumption. Partial mediation was supported when both the indirect and direct paths remained significant. The total effect (Path c) was derived from the same base regression model without mediators and therefore remained constant across mediation analyses. The significance threshold for all tests was set at <italic>p</italic> &#x0003C; 0.05.</p></sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>The internal consistency of the measurement tools used in the study was evaluated using Cronbach&#x00027;s alpha coefficients. The PFS-Tr demonstrated excellent internal consistency (&#x003B1; = 0.946). Similarly, the DASS-21 showed very high reliability (&#x003B1; = 0.943). The FCQ exhibited excellent internal consistency (&#x003B1; = 0.923), while the sQ-HPF demonstrated acceptable internal consistency (&#x003B1; = 0.744).</p>
<p><xref ref-type="table" rid="T1">Table 1</xref> shows the demographic characteristics of the participants. A total of 326 (66.9% female) shift-working healthcare personnel completed the study. Most of the participants (79.8%) worked on night and morning and/or afternoon shifts, 15.6% on night and day shift and/or afternoon and 4.6% on night only.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographic characteristics (<italic>n</italic>: 326).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>N</bold></th>
<th valign="top" align="center"><bold>%</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3"><bold>Gender</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">33.1</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">218</td>
<td valign="top" align="center">66.9</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Presence chronic disease</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">262</td>
<td valign="top" align="center">80.4</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">19.6</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Regular physical activity</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">241</td>
<td valign="top" align="center">73.9</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">85</td>
<td valign="top" align="center">26.1</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Regular sleep</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">256</td>
<td valign="top" align="center">78.5</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">21.5</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Type of shift</bold></td>
</tr>
<tr>
<td valign="top" align="left">Night only</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">4.6</td>
</tr>
<tr>
<td valign="top" align="left">Night and day shift and/or afternoon</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">15.6</td>
</tr>
<tr>
<td valign="top" align="left">Night and morning and/or afternoon shifts</td>
<td valign="top" align="center">260</td>
<td valign="top" align="center">79.8</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Typical night shift duration</bold></td>
</tr>
<tr>
<td valign="top" align="left">Less than 12 h</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">15.6</td>
</tr>
<tr>
<td valign="top" align="left">12&#x02013;24 h</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">20.6</td>
</tr>
<tr>
<td valign="top" align="left">More than 24 h</td>
<td valign="top" align="center">208</td>
<td valign="top" align="center">63.8</td>
</tr></tbody>
</table>
</table-wrap>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the demographic characteristics of continuous variables. The mean age of the participants was 30.00 &#x000B1; 7.23 years, and the mean BMI was 24.87 &#x000B1; 3.98 kg/m<sup>2</sup>. The mean shift time of participants was 19.57 &#x000B1; 7.21 h.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Descriptive statistics of continuous variables (<italic>n</italic>: 326).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Mean &#x000B1;SD</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">30.00 &#x000B1; 7.23</td>
</tr>
<tr>
<td valign="top" align="left">Mean shift time</td>
<td valign="top" align="center">19.57 &#x000B1; 7.21</td>
</tr>
<tr>
<td valign="top" align="left">Height (cm)</td>
<td valign="top" align="center">168.11 &#x000B1; 8.16</td>
</tr>
<tr>
<td valign="top" align="left">Body weight (kg)</td>
<td valign="top" align="center">70.57 &#x000B1; 13.92</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">24.87 &#x000B1; 3.98</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T3">Table 3</xref> presents the distribution of hedonic hunger, food choice, and UPF consumption according to shift duration tertiles. Significant differences were found in sQ-HPF scores (<italic>p</italic>: 0.029), depression (<italic>p</italic> &#x0003C; 0.001), stress (<italic>p</italic>: 0.007), and anxiety (<italic>p</italic>: 0.002) between shift duration tertiles. Gender comparisons revealed significant differences in PFS-Tr total score (<italic>p</italic>: 0.003), its subscales, sQ-HPF (p: 0.005), FCQ (<italic>p</italic>: 0.048), and anxiety scores (<italic>p</italic>: 0.048). The sQ-HPF, stress and anxiety differences were observed between tertiles 1 and 2, while the depression difference was observed between tertiles 1 and 2 and 3. According to sQ-HPF classification, most of the participants were in the high level UPF consumption group (63.2%), while there was a significant difference between genders (<italic>p</italic>: 0.010).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Distribution of hedonic hunger, food choice, and ultra-processed food consumption scores according to shift duration tertiles [median (25&#x02013;75 percentiles)].</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Tertile 1 (Less than 12 h) (<italic>n</italic>: 51)</bold></th>
<th valign="top" align="center"><bold>Tertile 2 (12&#x02013;24 h) (<italic>n</italic>: 67)</bold></th>
<th valign="top" align="center"><bold>Tertile 3 (&#x0003E;24 h) (<italic>n</italic>: 208)</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>P</italic><sup>1</sup>-value</bold></th>
<th valign="top" align="center" rowspan="2"><bold><italic>P</italic><sup>2</sup>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Food available</td>
<td valign="top" align="center">10.00 (8.00&#x02013;15.00)</td>
<td valign="top" align="center">11.00 (7.00&#x02013;14.00)</td>
<td valign="top" align="center">11.00 (8.00&#x02013;14.00)</td>
<td valign="top" align="center">0.773</td>
<td valign="top" align="center">0.005<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">Food present</td>
<td valign="top" align="center">13.00 (8.00&#x02013;16.00)</td>
<td valign="top" align="center">12.00 (7.00&#x02013;16.00)</td>
<td valign="top" align="center">13.00 (9.00&#x02013;16.00)</td>
<td valign="top" align="center">0.205</td>
<td valign="top" align="center">0.020<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">Food taste</td>
<td valign="top" align="center">18.00 (12.00&#x02013;20.00)</td>
<td valign="top" align="center">17.00 (8.00&#x02013;20.00)</td>
<td valign="top" align="center">17.00 (13.00&#x02013;20.00)</td>
<td valign="top" align="center">0.373</td>
<td valign="top" align="center">0.002<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">PFS-Tr total score</td>
<td valign="top" align="center">40.00 (30.00&#x02013;52.00)</td>
<td valign="top" align="center">38.00 (21.00&#x02013;50.00)</td>
<td valign="top" align="center">42.50 (32.00&#x02013;50.00)</td>
<td valign="top" align="center">0.519</td>
<td valign="top" align="center">0.003<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">sQ-HPF total score</td>
<td valign="top" align="center">6.00 (3.00&#x02013;8.00)</td>
<td valign="top" align="center">7.00 (5.00&#x02013;9.00)</td>
<td valign="top" align="center">6.00 (4.00&#x02013;8.00)</td>
<td valign="top" align="center">0.029<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.005<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left"><bold>sQ-HPF classification</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.093</td>
<td valign="top" align="center">0.010<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Low level UPF consumption</td>
<td valign="top" align="center">20 (39.2)</td>
<td valign="top" align="center">17 (25.4)</td>
<td valign="top" align="center">83 (39.9)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;High level UPF consumption</td>
<td valign="top" align="center">31 (60.8)</td>
<td valign="top" align="center">50 (74.6)</td>
<td valign="top" align="center">125 (60.1)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FCQ total score</td>
<td valign="top" align="center">51.00 (30.00&#x02013;60.00)</td>
<td valign="top" align="center">44.00 (28.00&#x02013;60.00)</td>
<td valign="top" align="center">50.00 (37.25&#x02013;60.00)</td>
<td valign="top" align="center">0.346</td>
<td valign="top" align="center">0.048<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left">Depression score</td>
<td valign="top" align="center">3.00 (1.00&#x02013;7.00)</td>
<td valign="top" align="center">7.00 (5.00&#x02013;11.00)</td>
<td valign="top" align="center">7.00 (3.00&#x02013;9.00)</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.916</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Depression classification</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.005<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.920</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Normal</td>
<td valign="top" align="center">29 (56.9)</td>
<td valign="top" align="center">15 (22.4)</td>
<td valign="top" align="center">66 (31.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Mild depression</td>
<td valign="top" align="center">9 (17.6)</td>
<td valign="top" align="center">13 (19.4)</td>
<td valign="top" align="center">30 (14.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Moderate depression</td>
<td valign="top" align="center">7 (13.7)</td>
<td valign="top" align="center">22 (32.8)</td>
<td valign="top" align="center">68 (32.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Severe depression</td>
<td valign="top" align="center">1 (2.0)</td>
<td valign="top" align="center">8 (11.9)</td>
<td valign="top" align="center">14 (6.7)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Very severe depression</td>
<td valign="top" align="center">5 (9.8)</td>
<td valign="top" align="center">9 (13.5)</td>
<td valign="top" align="center">30 (14.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Stress score</td>
<td valign="top" align="center">6.00 (3.00&#x02013;8.00)</td>
<td valign="top" align="center">8.00 (5.00&#x02013;11.00)</td>
<td valign="top" align="center">7.00 (5.00&#x02013;11.00)</td>
<td valign="top" align="center">0.007<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.434</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Stress classification</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.007<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.709</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Normal</td>
<td valign="top" align="center">38 (74.6)</td>
<td valign="top" align="center">31 (46.3)</td>
<td valign="top" align="center">110 (52.9)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Mild stress</td>
<td valign="top" align="center">4 (7.8)</td>
<td valign="top" align="center">7 (10.4)</td>
<td valign="top" align="center">32 (15.4)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Moderate stress</td>
<td valign="top" align="center">3 (5.9)</td>
<td valign="top" align="center">15 (22.4)</td>
<td valign="top" align="center">35 (16.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Severe stress</td>
<td valign="top" align="center">2 (3.9)</td>
<td valign="top" align="center">13 (19.4)</td>
<td valign="top" align="center">22 (10.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Very severe stress</td>
<td valign="top" align="center">4 (7.8)</td>
<td valign="top" align="center">1 (1.5)</td>
<td valign="top" align="center">9 (4.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anxiety score</td>
<td valign="top" align="center">2.00 (1.00-5.00)</td>
<td valign="top" align="center">6.00 (3.00-8.00)</td>
<td valign="top" align="center">4.50 (2.00-7.00)</td>
<td valign="top" align="center">0.002<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.048<sup>&#x0002A;</sup></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Anxiety classification</bold></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.024<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.475</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">31 (60.8)</td>
<td valign="top" align="center">20 (29.9)</td>
<td valign="top" align="center">91 (43.8)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mild anxiety</td>
<td valign="top" align="center">8 (15.7)</td>
<td valign="top" align="center">11 (16.4)</td>
<td valign="top" align="center">34 (16.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Moderate anxiety</td>
<td valign="top" align="center">4 (7.8)</td>
<td valign="top" align="center">18 (26.9)</td>
<td valign="top" align="center">38 (18.3)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Severe anxiety</td>
<td valign="top" align="center">5 (9.8)</td>
<td valign="top" align="center">4 (6.0)</td>
<td valign="top" align="center">18 (8.6)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Very severe anxiety</td>
<td valign="top" align="center">3 (5.9)</td>
<td valign="top" align="center">14 (20.8)</td>
<td valign="top" align="center">27 (13.0)</td>
<td/>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05 Data are expressed as median (25th&#x02212;75th percentiles) due to non-normal distribution, <italic>p</italic><sup>1</sup> represents differences between shift duration tertiles assessed using the Kruskal&#x02013;Wallis test, <italic>p</italic><sup>2</sup> represents differences between gender assessed using the Mann&#x02013;Whitney U-test. PFS, the power of food scale; FCQ, Single-Item food choice questionnaire; sQ-HPF, short screening questionnaire of highly processed food consumption scale.</p>
</table-wrap-foot>
</table-wrap>
<p>Age was weakly and negatively correlated with PFS-Tr total score (r: &#x02013; 0.143, <italic>p</italic> &#x0003C; 0.05), food available (r: &#x02013; 0.140, <italic>p</italic> &#x0003C; 0.05), sQ-HPF total score (r: &#x02013; 0.246, <italic>p</italic> &#x0003C; 0.001) and anxiety score (r: &#x02013; 0.155, <italic>p</italic> &#x0003C; 0.05) and weakly and positively correlated with BMI (<italic>r</italic>: 0.232, <italic>p</italic> &#x0003C; 0.001). BMI showed a weak positive correlation with food present (<italic>r</italic>: 0.150, <italic>p</italic> &#x0003C; 0.05) and sQ-HPF (<italic>r</italic>: 0.153, <italic>p</italic> &#x0003C; 0.05). PFS-Tr total score showed weak positive correlations with sQ-HPF total score (<italic>r</italic>: 0.172, <italic>p</italic> &#x0003C; 0.05), FCQ total score (<italic>r</italic>: 0.275, <italic>p</italic> &#x0003C; 0.001), depression score (<italic>r</italic>: 0.163, <italic>p</italic> &#x0003C; 0.05), stress score (<italic>r</italic>: 0.222, <italic>p</italic> &#x0003C; 0.001) and anxiety score (<italic>r</italic>: 0.157, <italic>p</italic> &#x0003C; 0.05). The sQ-HPF total score was weakly positively correlated with depression (<italic>r</italic>: 0.174, <italic>p</italic> &#x0003C; 0.05), stress (<italic>r</italic>: 0.168, <italic>p</italic> &#x0003C; 0.05) and anxiety scores (<italic>r</italic>: 0.179, <italic>p</italic> &#x0003C; 0.001) (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Correlation of age, BMI, PFS-Tr scale and sub-scales, sQ-HPF scale, FCQ scale, and DASS-21 scale.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>1</bold></th>
<th valign="top" align="center"><bold>2</bold></th>
<th valign="top" align="center"><bold>3</bold></th>
<th valign="top" align="center"><bold>4</bold></th>
<th valign="top" align="center"><bold>5</bold></th>
<th valign="top" align="center"><bold>6</bold></th>
<th valign="top" align="center"><bold>7</bold></th>
<th valign="top" align="center"><bold>8</bold></th>
<th valign="top" align="center"><bold>9</bold></th>
<th valign="top" align="center"><bold>10</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1. Age</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">2. BMI</td>
<td valign="top" align="center">0.232<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">3. Food available</td>
<td valign="top" align="center">&#x02013;0.140<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.096</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4. Food present</td>
<td valign="top" align="center">&#x02013;0.099</td>
<td valign="top" align="center">0.150<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.796<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">5. Food taste</td>
<td valign="top" align="center">&#x02013;0.148<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">0.762<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.745<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">6. PFS-Tr total score</td>
<td valign="top" align="center">&#x02013;0.143<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.100</td>
<td valign="top" align="center">0.922<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.917<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.908<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">7. sQ-HPF total score</td>
<td valign="top" align="center">&#x02013;0.246<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.153<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.170<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.165<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.1210</td>
<td valign="top" align="center">0.172<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">8. FCQ total score</td>
<td valign="top" align="center">&#x02013;0.037</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">0.255<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.237<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.293<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.275<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02212;0.087</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">9. Depression score</td>
<td valign="top" align="center">&#x02013;0.098</td>
<td valign="top" align="center">0.073</td>
<td valign="top" align="center">0.165<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.165<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.091</td>
<td valign="top" align="center">0.163<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.174<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;0.075</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">10. Stress score</td>
<td valign="top" align="center">&#x02013;0.104</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center">0.208<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.214<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.184<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.222<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.168<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;0.046</td>
<td valign="top" align="center">0.760<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">11. Anxiety score</td>
<td valign="top" align="center">&#x02013;0.115<sup>&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;0.004</td>
<td valign="top" align="center">0.155<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.143<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.106</td>
<td valign="top" align="center">0.157<sup>&#x0002A;</sup></td>
<td valign="top" align="center">0.179<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">&#x02013;0.100</td>
<td valign="top" align="center">0.743<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.686<sup>&#x0002A;&#x0002A;</sup></td>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.001. PFS, the power of food scale; FCQ, Single-Item food choice questionnaire; sQ-HPF, short screening questionnaire of highly processed food consumption scale.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T5">Table 5</xref> shows the stepwise linear regression predicting hedonic hunger. In Model 5, BMI (&#x003B2;: 0.456, <italic>p</italic>: 0.017), sQ-HPF (&#x003B2;: 0.538, p: 0.048), and stress (&#x003B2;: 0.609, p: 0.018) were significant predictors, accounting for 12.4% of the variance. Gender, and age were consistently significant predictors across all models.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Linear regression analysis indicating the predictors of hedonic hunger.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Model</bold></th>
<th valign="top" align="center" colspan="2"><bold>Unstandardized coefficients</bold></th>
<th valign="top" align="center" colspan="2"><bold>Standardized coefficients</bold></th>
<th/>
<th/>
<th/>
<th/>
<th/>
</tr>
<tr>
<th valign="top" align="center"><bold>B</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th valign="top" align="center"><bold>Beta</bold></th>
<th valign="top" align="center"><bold>t</bold></th>
<th valign="top" align="center"><bold>Sig</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold>Sig</bold></th>
<th valign="top" align="center"><bold>R</bold></th>
<th valign="top" align="center"><italic>R</italic><sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1 (constant)</td>
<td valign="top" align="center">39.277</td>
<td valign="top" align="center">3.803</td>
<td/>
<td valign="top" align="center">10.328</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">8.399</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.222</td>
<td valign="top" align="center">0.049</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02013;0.276</td>
<td valign="top" align="center">0.101</td>
<td valign="top" align="center">&#x02013;0.150</td>
<td valign="top" align="center">&#x02013;2.742</td>
<td valign="top" align="center">0.006<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">5.175</td>
<td valign="top" align="center">1.545</td>
<td valign="top" align="center">0.183</td>
<td valign="top" align="center">3.349</td>
<td valign="top" align="center">0.001<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">2 (constant)</td>
<td valign="top" align="center">24.119</td>
<td valign="top" align="center">6.047</td>
<td/>
<td valign="top" align="center">3.989</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">9.163</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.280</td>
<td valign="top" align="center">0.079</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02212;0.343</td>
<td valign="top" align="center">0.101</td>
<td valign="top" align="center">&#x02212;0.186</td>
<td valign="top" align="center">&#x02212;3.376</td>
<td valign="top" align="center">0.001<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">6.488</td>
<td valign="top" align="center">1.578</td>
<td valign="top" align="center">0.229</td>
<td valign="top" align="center">4.111</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.601</td>
<td valign="top" align="center">0.188</td>
<td valign="top" align="center">0.180</td>
<td valign="top" align="center">3.195</td>
<td valign="top" align="center">0.002<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">3 (constant)</td>
<td valign="top" align="center">19.650</td>
<td valign="top" align="center">6.291</td>
<td/>
<td valign="top" align="center">3.123</td>
<td valign="top" align="center">0.002<sup>&#x0002A;</sup></td>
<td valign="top" align="center">8.384</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.308</td>
<td valign="top" align="center">0.095</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02013;0.272</td>
<td valign="top" align="center">0.105</td>
<td valign="top" align="center">&#x02212;0.147</td>
<td valign="top" align="center">&#x02212;2.589</td>
<td valign="top" align="center">0.010<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">6.716</td>
<td valign="top" align="center">1.570</td>
<td valign="top" align="center">0.237</td>
<td valign="top" align="center">4.279</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.516</td>
<td valign="top" align="center">0.190</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">2.711</td>
<td valign="top" align="center">0.007<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">sQ-HPF</td>
<td valign="top" align="center">0.642</td>
<td valign="top" align="center">0.270</td>
<td valign="top" align="center">0.134</td>
<td valign="top" align="center">2.377</td>
<td valign="top" align="center">0.018<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4 (constant)</td>
<td valign="top" align="center">9.208</td>
<td valign="top" align="center">6.213</td>
<td/>
<td valign="top" align="center">1.482</td>
<td valign="top" align="center">0.139</td>
<td valign="top" align="center">14.773</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.433</td>
<td valign="top" align="center">0.188</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02212;0.205</td>
<td valign="top" align="center">0.100</td>
<td valign="top" align="center">&#x02212;0.111</td>
<td valign="top" align="center">&#x02212;2.043</td>
<td valign="top" align="center">0.042<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">5.696</td>
<td valign="top" align="center">1.499</td>
<td valign="top" align="center">0.201</td>
<td valign="top" align="center">3.800</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.415</td>
<td valign="top" align="center">0.181</td>
<td valign="top" align="center">0.124</td>
<td valign="top" align="center">2.288</td>
<td valign="top" align="center">0.023<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">sQ-HPF</td>
<td valign="top" align="center">0.768</td>
<td valign="top" align="center">0.257</td>
<td valign="top" align="center">0.160</td>
<td valign="top" align="center">2.988</td>
<td valign="top" align="center">0.003<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FCQ</td>
<td valign="top" align="center">0.252</td>
<td valign="top" align="center">0.042</td>
<td valign="top" align="center">0.309</td>
<td valign="top" align="center">6.050</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">5 (constant)</td>
<td valign="top" align="center">17.673</td>
<td valign="top" align="center">6.250</td>
<td/>
<td valign="top" align="center">2.828</td>
<td valign="top" align="center">0.005<sup>&#x0002A;</sup></td>
<td valign="top" align="center">6.436</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.352</td>
<td valign="top" align="center">0.124</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02212;0.244</td>
<td valign="top" align="center">0.104</td>
<td valign="top" align="center">&#x02212;0.132</td>
<td valign="top" align="center">&#x02212;2.336</td>
<td valign="top" align="center">0.020<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">6.428</td>
<td valign="top" align="center">1.571</td>
<td valign="top" align="center">0.227</td>
<td valign="top" align="center">4.092</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.456</td>
<td valign="top" align="center">0.190</td>
<td valign="top" align="center">0.136</td>
<td valign="top" align="center">2.402</td>
<td valign="top" align="center">0.017<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">sQ-HPF</td>
<td valign="top" align="center">0.538</td>
<td valign="top" align="center">0.271</td>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">1.985</td>
<td valign="top" align="center">0.048<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Depression</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="center">0.251</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">0.317</td>
<td valign="top" align="center">0.751</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Stress</td>
<td valign="top" align="center">0.609</td>
<td valign="top" align="center">0.257</td>
<td valign="top" align="center">0.209</td>
<td valign="top" align="center">2.373</td>
<td valign="top" align="center">0.018<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="center">&#x02212;0.289</td>
<td valign="top" align="center">0.263</td>
<td valign="top" align="center">&#x02212;0.094</td>
<td valign="top" align="center">&#x02212;1.101</td>
<td valign="top" align="center">0.272</td>
<td/>
<td/>
<td/>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.001. R represents the multiple correlation coefficient, and R<sup>2</sup> represents the proportion of variance explained by the model. PFS, the power of food scale; FCQ, Single-Item food choice questionnaire; sQ-HPF, short screening questionnaire of highly processed food consumption scale.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T6">Table 6</xref> presents regression results for sQ-HPF. Model 5 indicates BMI (&#x003B2;: 0.111, <italic>p</italic>: 0.005) and PFS-Tr (&#x003B2;: 0.030, <italic>p</italic>: 0.013) as significant predictors. The model explained 16.1% of the variance. Although stress was added in the final model, it did not remain a significant independent predictor.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Linear regression analysis indicating the predictors of sQ-HPF scale.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2"><bold>Model</bold></th>
<th valign="top" align="center" colspan="2"><bold>Unstandardized coefficients</bold></th>
<th valign="top" align="center" colspan="2"><bold>Standardized coefficient</bold></th>
<th/>
<th/>
<th/>
<th/>
<th/>
</tr>
<tr>
<th valign="top" align="center"><bold>B</bold></th>
<th valign="top" align="center"><bold>SE</bold></th>
<th valign="top" align="center"><bold>Beta</bold></th>
<th valign="top" align="center"><bold>t</bold></th>
<th valign="top" align="center"><bold>Sig</bold></th>
<th valign="top" align="center"><bold>F</bold></th>
<th valign="top" align="center"><bold>Sig</bold></th>
<th valign="top" align="center"><bold>R</bold></th>
<th valign="top" align="center"><italic>R</italic><sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1 (constant)</td>
<td valign="top" align="center">10.328</td>
<td valign="top" align="center">0.782</td>
<td/>
<td valign="top" align="center">13.213</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">13.986</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.282</td>
<td valign="top" align="center">0.080</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02013;0.095</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x02212;0.248</td>
<td valign="top" align="center">&#x02212;4.605</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">&#x02212;0.648</td>
<td valign="top" align="center">0.318</td>
<td valign="top" align="center">&#x02212;0.110</td>
<td valign="top" align="center">&#x02212;2.039</td>
<td valign="top" align="center">0.042<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">2 (constant)</td>
<td valign="top" align="center">6.966</td>
<td valign="top" align="center">1.240</td>
<td/>
<td valign="top" align="center">5.619</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">13.624</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.336</td>
<td valign="top" align="center">0.113</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02212;0.110</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x02212;0.286</td>
<td valign="top" align="center">&#x02212;5.290</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">&#x02212;0.357</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">&#x02212;0.060</td>
<td valign="top" align="center">&#x02212;1.102</td>
<td valign="top" align="center">0.271</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.133</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">0.191</td>
<td valign="top" align="center">3.457</td>
<td valign="top" align="center">0.001<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">3 (constant)</td>
<td valign="top" align="center">6.316</td>
<td valign="top" align="center">1.261</td>
<td/>
<td valign="top" align="center">5.009</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td valign="top" align="center">0.358</td>
<td valign="top" align="center">0.128</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02212;0.101</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x02212;0.262</td>
<td valign="top" align="center">&#x02212;4.797</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">&#x02212;0.531</td>
<td valign="top" align="center">0.330</td>
<td valign="top" align="center">&#x02212;0.090</td>
<td valign="top" align="center">&#x02212;1.613</td>
<td valign="top" align="center">0.108</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.117</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="center">3.011</td>
<td valign="top" align="center">0.003<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PFS-Tr</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.129</td>
<td valign="top" align="center">2.377</td>
<td valign="top" align="center">0.018<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4 (constant)</td>
<td valign="top" align="center">6.937</td>
<td valign="top" align="center">1.281</td>
<td/>
<td valign="top" align="center">5.417</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">10.626</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.377</td>
<td valign="top" align="center">0.142</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02212;0.103</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x02212;0.266</td>
<td valign="top" align="center">&#x02212;4.909</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">&#x02212;0.494</td>
<td valign="top" align="center">0.328</td>
<td valign="top" align="center">&#x02212;0.084</td>
<td valign="top" align="center">&#x02212;1.508</td>
<td valign="top" align="center">0.132</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.119</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">0.171</td>
<td valign="top" align="center">3.087</td>
<td valign="top" align="center">0.002<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PFS-Tr</td>
<td valign="top" align="center">0.035</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">0.169</td>
<td valign="top" align="center">2.988</td>
<td valign="top" align="center">0.003<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FCQ</td>
<td valign="top" align="center">&#x02212;0.022</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">&#x02212;0.127</td>
<td valign="top" align="center">&#x02212;2.319</td>
<td valign="top" align="center">0.021<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">5 (constant)</td>
<td valign="top" align="center">6.593</td>
<td valign="top" align="center">1.282</td>
<td/>
<td valign="top" align="center">5.144</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">7.618</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td valign="top" align="center">0.402</td>
<td valign="top" align="center">0.161</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">&#x02212;0.096</td>
<td valign="top" align="center">0.021</td>
<td valign="top" align="center">&#x02212;0.249</td>
<td valign="top" align="center">&#x02212;4.573</td>
<td valign="top" align="center">&#x0003C; 0.001<sup>&#x0002A;&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center">&#x02212;0.597</td>
<td valign="top" align="center">0329</td>
<td valign="top" align="center">&#x02212;0.101</td>
<td valign="top" align="center">&#x02212;1.816</td>
<td valign="top" align="center">0.070</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">0.111</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">0.159</td>
<td valign="top" align="center">2.861</td>
<td valign="top" align="center">0.005<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">PFS-Tr</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">0.143</td>
<td valign="top" align="center">2.486</td>
<td valign="top" align="center">0.013<sup>&#x0002A;</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FCQ</td>
<td valign="top" align="center">&#x02212;0.018</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">&#x02212;0.104</td>
<td valign="top" align="center">&#x02212;1.871</td>
<td valign="top" align="center">0.062</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Depression</td>
<td valign="top" align="center">&#x02212;0.015</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">&#x02212;0.026</td>
<td valign="top" align="center">&#x02212;0.288</td>
<td valign="top" align="center">0.774</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Stress</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center">0.587</td>
<td valign="top" align="center">0.557</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anxiety</td>
<td valign="top" align="center">0.079</td>
<td valign="top" align="center">0.054</td>
<td valign="top" align="center">0.122</td>
<td valign="top" align="center">1.461</td>
<td valign="top" align="center">0.145</td>
<td/>
<td/>
<td/>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p><sup>&#x0002A;</sup><italic>p</italic> &#x0003C; 0.05, <sup>&#x0002A;&#x0002A;</sup><italic>p</italic> &#x0003C; 0.001. R represents the multiple correlation coefficient, and R<sup>2</sup> represents the proportion of variance explained by the model. PFS, the power of food scale; FCQ, Single-Item food choice questionnaire; sQ-HPF, short screening questionnaire of highly processed food consumption scale.</p>
</table-wrap-foot>
</table-wrap>
<p>A series of mediation analyses were conducted to examine whether stress, depression, anxiety, and BMI mediated the relationship between hedonic hunger and UPF consumption. Hedonic hunger significantly predicted all three psychological variables&#x02014;stress (<italic>B</italic>: 0.077, <italic>p</italic> &#x0003C; 0.001), depression (<italic>B</italic>: 0.075, <italic>p</italic>: 0.002), and anxiety (<italic>B</italic>: 0.066, <italic>p</italic>: 0.004)&#x02014;each of which in turn significantly predicted UPF consumption: stress (<italic>B</italic>: 0.098, <italic>p</italic>: 0.004), depression (<italic>B</italic>: 0.091, <italic>p</italic>: 0.006), and anxiety (<italic>B</italic>: 0.086, <italic>p</italic>: 0.010). In all three models, hedonic hunger remained a significant predictor of UPF consumption when the mediator was included (B values ranged from 0.026 to 0.028), indicating partial mediation. In contrast, although BMI was a significant predictor of UPF (<italic>B</italic>: 0.099, <italic>p</italic>: 0.010), it was not significantly predicted by hedonic hunger (<italic>B</italic>: 0.028, <italic>p</italic>: 0.089); therefore, BMI did not meet the criteria for mediation. Furthermore, the total FCQ score was examined as a mediator. Hedonic hunger significantly predicted the FCQ total score (<italic>B</italic>: 0.405, <italic>p</italic> &#x0003C; 0.001), which in turn negatively predicted UPF consumption (<italic>B</italic>: &#x02212;0.021, <italic>p</italic>: 0.034). When both variables were included, hedonic hunger remained a significant predictor (<italic>B</italic>: 0.034, <italic>p</italic>: 0.003), indicating a partial mediation with an inverse relationship. The total effect value remained constant across all models, as it was derived from the same base regression model without mediators, confirming the consistency and validity of the analysis (<xref ref-type="fig" rid="F1">Figure 1</xref>). These findings reflect statistical indirect associations observed within the sample and do not establish causal directionality between hedonic hunger, psychological variables, BMI, and UPF consumption.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Exploratory mediation model illustrating statistical associations among hedonic hunger, psychological variables (depression, stress, anxiety), food choice factors (FCQ), BMI, and ultra-processed food consumption.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-14-1757016-g0001.tif">
<alt-text content-type="machine-generated">Path diagram showing how Hedonic hunger (PFS-Tr Scale) is linked to UPF Consumption (sQ-HPF scale) through mediators Stress, Depression, Anxiety, BMI, and FCQ; each path is labeled with coe cients (B) and significance levels (p), with all mediators except FCQ positively associated with UPF Consumption.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To the best of our knowledge, this is the first study to comprehensively evaluate the relationship between hedonic hunger, level of UPF consumption, and mental health parameters among shift-working healthcare professionals. Rather than novelty by population alone, the present study contributes by empirically demonstrating how hedonic hunger was statistically linked via psychological stress to influence UPF consumption within a circadian-disrupted occupational context. Although the study does not include a non&#x02013;shift-working comparison group, its primary objective was not to contrast occupational groups, but to examine the internal psychological pathways linking hedonic hunger to UPF consumption within a population already known to be metabolically and psychologically vulnerable. Shift work constitutes a high-risk context characterized by circadian misalignment, elevated stress, and constrained food environments; therefore, identifying mechanisms within this group has direct clinical and occupational relevance. The findings revealed that 63.2% of participants were classified as high level UPF consumption, with hedonic hunger emerging as a significant predictor of UPF intake through both direct and indirect pathways&#x02014;particularly via stress and FCQ. Furthermore, participants working longer shifts reported significantly higher levels of UPF consumption, depression, anxiety, and stress. These results underscore the multifactorial nature of dietary behaviors in shift workers, shaped not only by occupational demands but also by underlying psychological mechanisms, highlighting an urgent need for integrated nutritional and mental health strategies in healthcare settings.</p>
<p>Psychological distress is notably prevalent among healthcare shift workers, especially those on night shifts. Studies have shown that this group is more vulnerable to irritability, stress, depression, and anxiety, largely due to factors such as job insecurity, sleep disruption, and sustained exposure to infectious environments (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). Consistent with this evidence, our study found that participants working longer shifts (&#x0003E;24 h) reported significantly higher depression, anxiety, and stress scores compared to those with shorter shift durations. Moreover, gender-based comparisons revealed that female shift workers experienced significantly higher anxiety levels, reinforcing the notion of a gendered vulnerability in mental health outcomes, which is in line with previous findings identifying younger female non-physician staff as a particularly at-risk group (<xref ref-type="bibr" rid="B29">29</xref>). Beyond descriptive trends, our regression and mediation analyses demonstrated that stress significantly mediated the relationship between hedonic hunger and UPF consumption, underlining the indirect impact of psychological burden on dietary behavior. Although depression and anxiety were also tested as potential mediators, their effects were less pronounced, suggesting that stress may serve as the primary psychological conduit through which emotional drivers translate into unhealthy food choices. These findings further support the view that mental health is not only a personal well being concern but also a determinant of health behavior, particularly in demanding shift-based healthcare roles. Furthermore, the mediation findings should be interpreted with caution. Although the analytical models were specified with hedonic hunger as the independent variable, this does not imply that hedonic hunger causally precedes psychological distress or BMI. Dominant models of eating behavior emphasize that psychological distress and environmental stressors often shape eating patterns rather than emerge from them. In line with this literature, the present findings are best viewed as exploratory and hypothesis-generating, highlighting potential psychological pathways that warrant further examination in longitudinal or experimental designs. It should also be acknowledged that the observed effect sizes were small and the explained variance was modest. This is consistent with the multifactorial nature of eating behavior, suggesting that hedonic hunger and psychological variables represent partial contributors rather than dominant determinants of UPF consumption. Accordingly, the findings should be interpreted as indicating meaningful but limited associations within a complex behavioral system.</p>
<p>Shift workers, particularly nurses and emergency medical personnel, frequently experience circadian rhythm disruptions due to irregular work schedules, which in turn contribute to erratic eating patterns and a heightened susceptibility to hedonic hunger, a form of appetite driven by the rewarding aspects of food rather than physiological necessity. Previous research has linked elevated stress, anxiety, and depression levels in female shift workers to maladaptive eating behaviors, such as emotional and external eating, as well as restrained eating related to BMI increases (<xref ref-type="bibr" rid="B31">31</xref>). Supporting these findings, our study revealed that hedonic hunger was significantly associated with UPF consumption, and that stress partially mediated this relationship. Furthermore, female participants had significantly higher levels of hedonic hunger, anxiety, and UPF consumption, suggesting a gendered vulnerability consistent with earlier literature.</p>
<p>In our sample, 63.2% of participants were classified as high-level of UPF consumers, and those working longer shifts (&#x0003E;24 h) exhibited significantly higher UPF intake as well as elevated depression, anxiety, and stress scores. These patterns align with previous evidence indicating that shift workers often compensate for fatigue and psychological strain by skipping meals, snacking more frequently, and opting for energy-dense, nutritionally poor foods (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). These behaviors are further reinforced by environmental factors&#x02014;such as limited access to healthy food options during night shifts&#x02014;which increase reliance on hedonic, convenience-based eating (<xref ref-type="bibr" rid="B16">16</xref>). Additionally, our findings showed that FCQ was negatively associated with UPF intake, suggesting that individuals who place greater emphasis on deliberate food choice considerations may be less likely to translate hedonic hunger into higher ultra-processed food consumption.</p>
<p>Circadian misalignment may be associated with hormonal fluctuations, particularly in cortisol and ghrelin levels, which disrupt normal hunger cues and amplify hedonic drives toward UPF consumption (<xref ref-type="bibr" rid="B34">34</xref>). This misalignment has also been implicated in the development of metabolic syndrome and obesity among shift workers (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Within this context, our study provides novel evidence that hedonic hunger functions not only as a direct predictor of UPF consumption but also as a psychological mechanism operating through stress, mood disturbances, and motivational drivers, highlighting the multifaceted vulnerability of healthcare shift workers to unhealthy dietary behaviors.</p>
<sec>
<title>Clinical and policy implications</title>
<p>From a clinical and policy perspective, identifying stress as the primary mediator between hedonic hunger and UPF consumption has significant implications for shift-working healthcare professionals. Workplace interventions targeting stress management, such as structured break times, mental health screenings, and psychosocial support programmes, may indirectly contribute to healthy eating behaviors by reducing stress-induced hedonic eating. Furthermore, improving the food environment in healthcare settings by increasing access to affordable, minimally processed, and nutrient-dense foods, particularly during night shifts, may reduce dependence on consumption of UPFs. At the policy level, developing specialized occupational nutrition guidelines and corporate food policies for shift workers could be an effective strategy to reduce long-term cardiometabolic and mental health risks associated with shift work.</p>
<p>This study has severa l limitations that should be acknowledged. First, the cross-sectional design precludes any conclusions regarding causality between hedonic hunger, UPF consumption, and psychological outcomes. Longitudinal or experimental studies would be needed to establish the directionality of these associations. Second, data were collected via self-reported online questionnaires, which may be subject to reporting bias, including social desirability and recall bias. Third, the study sample, although sufficiently powered, was limited to healthcare professionals working in Istanbul and may not fully represent shift-working populations in other geographic or occupational contexts. Despite these limitations, the study also presents notable strengths. To our knowledge, it is the first to examine the interrelationships between hedonic hunger, UPF consumption, and mental health parameters in shift-working healthcare personnel using a mediation model. The use of validated and reliable measurement tools&#x02014;including the PFS-Tr, sQ-HPF, FCQ, and DASS-21&#x02014;enhances the methodological robustness of the study. Moreover, the comprehensive statistical analysis, including linear regression and mediation testing, offers valuable insight into the psychological and behavioral mechanisms underlying poor dietary habits among shift workers. These strengths support the relevance of our findings for informing future research, workplace health policy, and targeted interventions in clinical settings.</p></sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>This study highlights the significant interplay between hedonic hunger, UPF consumption, and psychological distress among shift-working healthcare personnel. The findings indicate that hedonic hunger is a key factor influencing dietary behaviors in this population, both directly and indirectly through elevated stress levels and food choices. A substantial proportion of participants exhibited high levels of UPF intake, particularly those working extended shifts and female staff members, who also reported higher anxiety and hedonic hunger scores. These results highlighted the urgent need for integrated interventions addressing both nutritional and mental health challenges in shift-working healthcare personnel. Tailored workplace policies, improved food environments, and psychological support services may offer effective strategies for mitigating the negative health impacts associated with shift work.</p>
<p>This study has certain limitations, including its cross-sectional design, reliance on self-reported measures, and the restriction of the sample to healthcare shift workers from a single institution, which may limit causal inference and generalizability. Future studies using longitudinal designs, objective dietary assessments, and intervention-based approaches are warranted to further elucidate the mechanisms linking hedonic hunger, psychological distress, and ultra-processed food consumption.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The Ethics Committee of Istanbul Gelisim University Non-Interventional Clinical Research Ethics Committee [Number: 2023-03, date: 08.03.2023] approved the study. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>EA: Conceptualization, Investigation, Methodology, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. HB: Conceptualization, Formal analysis, Investigation, Methodology, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing, Software. AO: Conceptualization, Supervision, Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<ack><title>Acknowledgments</title><p>The authors wish to thank all participants of the research.</p></ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. Generative artificial intelligence tools, especially ChatGPT-5.1, were used solely for language editing and grammatical improvement of the manuscript. The author(s) take full responsibility for the scientific content, interpretation of the data, and final version of the article.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Silva</surname> <given-names>I</given-names></name> <name><surname>Costa</surname> <given-names>D</given-names></name></person-group>. <article-title>Consequences of shift work and night work: a literature review</article-title>. <source>Healthcare.</source> (<year>2023</year>) <volume>11</volume>:<fpage>1410</fpage>. doi: <pub-id pub-id-type="doi">10.3390/healthcare11101410</pub-id><pub-id pub-id-type="pmid">37239693</pub-id></mixed-citation>
</ref>
<ref id="B2">
<label>2.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Costa</surname> <given-names>G</given-names></name></person-group>. <article-title>The problem: shiftwork</article-title>. <source>Chronobiol Int.</source> (<year>1997</year>) <volume>14</volume>:<fpage>89</fpage>&#x02013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.3109/07420529709001147</pub-id><pub-id pub-id-type="pmid">9095370</pub-id></mixed-citation>
</ref>
<ref id="B3">
<label>3.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gacek</surname> <given-names>M</given-names></name></person-group>. <article-title>Selected aspects of lifestyle of women with secondary and higher education employed as shift workers</article-title>. <source>Med Pr.</source> (<year>2018</year>) <volume>69</volume>:<fpage>11</fpage>&#x02013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.26444/monz/86141</pub-id></mixed-citation>
</ref>
<ref id="B4">
<label>4.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Costa</surname> <given-names>G</given-names></name></person-group>. <article-title>Shift work and occupational medicine: an overview</article-title>. <source>Occup Med.</source> (<year>2003</year>) <volume>53</volume>:<fpage>83</fpage>&#x02013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1093/occmed/kqg045</pub-id><pub-id pub-id-type="pmid">12637591</pub-id></mixed-citation>
</ref>
<ref id="B5">
<label>5.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Caruso</surname> <given-names>CC</given-names></name></person-group>. <article-title>Negative impacts of shiftwork and long work hours</article-title>. <source>Rehabil Nurs.</source> (<year>2014</year>) <volume>39</volume>:<fpage>16</fpage>&#x02013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.1002/rnj.107</pub-id><pub-id pub-id-type="pmid">23780784</pub-id></mixed-citation>
</ref>
<ref id="B6">
<label>6.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Roskoden</surname> <given-names>FC</given-names></name> <name><surname>Kr&#x000FC;ger</surname> <given-names>J</given-names></name> <name><surname>Vogt</surname> <given-names>LJ</given-names></name> <name><surname>G&#x000E4;rtner</surname> <given-names>S</given-names></name> <name><surname>Hannich</surname> <given-names>HJ</given-names></name> <name><surname>Steveling</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Physical activity, energy expenditure, nutritional habits, quality of sleep and stress levels in shift-working health care personnel</article-title>. <source>PLoS ONE.</source> (<year>2017</year>) <volume>12</volume>:<fpage>e0169983</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0169983</pub-id><pub-id pub-id-type="pmid">28081231</pub-id></mixed-citation>
</ref>
<ref id="B7">
<label>7.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pietroiusti</surname> <given-names>A</given-names></name> <name><surname>Neri</surname> <given-names>A</given-names></name> <name><surname>Somma</surname> <given-names>G</given-names></name> <name><surname>Coppeta</surname> <given-names>L</given-names></name> <name><surname>Iavicoli</surname> <given-names>A</given-names></name> <name><surname>Bergamaschi</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Incidence of metabolic syndrome among night-shift healthcare workers</article-title>. <source>Occup Environ Med.</source> (<year>2010</year>) <volume>67</volume>:<fpage>54</fpage>&#x02013;<lpage>7</lpage> doi: <pub-id pub-id-type="doi">10.1136/oem.2009.046797</pub-id><pub-id pub-id-type="pmid">19737731</pub-id></mixed-citation>
</ref>
<ref id="B8">
<label>8.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>De Bacquer</surname> <given-names>D</given-names></name> <name><surname>Van Risseghem</surname> <given-names>M</given-names></name> <name><surname>Clays</surname> <given-names>E</given-names></name> <name><surname>Kittel</surname> <given-names>F</given-names></name> <name><surname>De Backer</surname> <given-names>G</given-names></name> <name><surname>Braeckman</surname> <given-names>L</given-names></name></person-group>. <article-title>Rotating shift work and the metabolic syndrome: a prospective study</article-title>. <source>Int J Epidemiol.</source> (<year>2009</year>) <volume>38</volume>:<fpage>848</fpage>&#x02013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ije/dyn360</pub-id><pub-id pub-id-type="pmid">19129266</pub-id></mixed-citation>
</ref>
<ref id="B9">
<label>9.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Figueiro</surname> <given-names>MG</given-names></name> <name><surname>White</surname> <given-names>RD</given-names></name></person-group>. <article-title>Health consequences of shift work and implications for structural design</article-title>. <source>J Perinatol.</source> (<year>2013</year>) <volume>33</volume>:<fpage>S17</fpage>&#x02013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1038/jp.2013.7</pub-id><pub-id pub-id-type="pmid">23536025</pub-id></mixed-citation>
</ref>
<ref id="B10">
<label>10.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ulh&#x000F4;a</surname> <given-names>MA</given-names></name> <name><surname>Marqueze</surname> <given-names>EC</given-names></name> <name><surname>Burgos</surname> <given-names>LG</given-names></name> <name><surname>Moreno</surname> <given-names>CRC</given-names></name></person-group>. <article-title>Shift work and endocrine disorders</article-title>. <source>Int J Endocrinol.</source> (<year>2015</year>) <volume>2015</volume>:<fpage>826249</fpage>. doi: <pub-id pub-id-type="doi">10.1155/2015/826249</pub-id><pub-id pub-id-type="pmid">25892993</pub-id></mixed-citation>
</ref>
<ref id="B11">
<label>11.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Brown</surname> <given-names>JP</given-names></name> <name><surname>Martin</surname> <given-names>D</given-names></name> <name><surname>Nagaria</surname> <given-names>Z</given-names></name> <name><surname>Verceles</surname> <given-names>AC</given-names></name> <name><surname>Jobe</surname> <given-names>SL</given-names></name> <name><surname>Wickwire</surname> <given-names>EM</given-names></name></person-group>. <article-title>Mental health consequences of shift work: an updated review</article-title>. <source>Curr Psychiatry Rep.</source> (<year>2020</year>) <volume>22</volume>:<fpage>68</fpage>. doi: <pub-id pub-id-type="doi">10.1007/s11920-020-1131-z</pub-id><pub-id pub-id-type="pmid">31955278</pub-id></mixed-citation>
</ref>
<ref id="B12">
<label>12.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Storz</surname> <given-names>MA</given-names></name> <name><surname>Rizzo</surname> <given-names>G</given-names></name> <name><surname>Lombardo</surname> <given-names>M</given-names></name></person-group>. <article-title>Shiftwork is associated with higher food insecurity in US workers: findings from a cross-sectional study (NHANES)</article-title>. <source>Int J Environ Res Public Health.</source> (<year>2022</year>) <volume>19</volume>:<fpage>2847</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph19052847</pub-id></mixed-citation>
</ref>
<ref id="B13">
<label>13.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fernandes</surname> <given-names>JDC</given-names></name> <name><surname>Portela</surname> <given-names>LF</given-names></name> <name><surname>Rotenberg</surname> <given-names>L</given-names></name> <name><surname>Griep</surname> <given-names>RH</given-names></name></person-group>. <article-title>Working hours and health behaviour among nurses at public hospitals</article-title>. <source>Rev Latino-Am Enfermagem.</source> (<year>2013</year>) <volume>21</volume>:<fpage>1104</fpage>&#x02013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1590/S0104-11692013000500013</pub-id><pub-id pub-id-type="pmid">24142219</pub-id></mixed-citation>
</ref>
<ref id="B14">
<label>14.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>D&#x00027;Annibale</surname> <given-names>M</given-names></name> <name><surname>Hornzee</surname> <given-names>N</given-names></name> <name><surname>Whelan</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Eating on the night shift: a need for evidence-based dietary guidelines?</article-title> <source>Nutr Bull.</source> (<year>2021</year>) <volume>46</volume>:<fpage>339</fpage>&#x02013;<lpage>49</lpage>. doi: <pub-id pub-id-type="doi">10.1111/nbu.12515</pub-id></mixed-citation>
</ref>
<ref id="B15">
<label>15.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wolska</surname> <given-names>A</given-names></name> <name><surname>Stasiewicz</surname> <given-names>B</given-names></name> <name><surname>Kazmierczak-Siedlecka</surname> <given-names>K</given-names></name> <name><surname>Zietek</surname> <given-names>M</given-names></name> <name><surname>Solek-Pastuszka</surname> <given-names>J</given-names></name> <name><surname>Drozd</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Unhealthy food choices among healthcare shift workers: a cross-sectional study</article-title>. <source>Nutrients.</source> (<year>2022</year>) <volume>14</volume>:<fpage>4327</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu14204327</pub-id><pub-id pub-id-type="pmid">36297011</pub-id></mixed-citation>
</ref>
<ref id="B16">
<label>16.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fitzhugh</surname> <given-names>C</given-names></name> <name><surname>Gibson</surname> <given-names>R</given-names></name></person-group>. <article-title>Understanding perceptions about the health effects of night working and the barriers and enablers to taking part in nutritional research: a qualitative study among night workers in England</article-title>. <source>Nutr Bull.</source> (<year>2024</year>) <volume>49</volume>:<fpage>360</fpage>&#x02013;<lpage>71</lpage>. doi: <pub-id pub-id-type="doi">10.1111/nbu.12691</pub-id><pub-id pub-id-type="pmid">38924319</pub-id></mixed-citation>
</ref>
<ref id="B17">
<label>17.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gao</surname> <given-names>N</given-names></name> <name><surname>Zheng</surname> <given-names>Y</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Huang</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>S</given-names></name> <name><surname>Gong</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Association between shift work and health outcomes in the general population in China: a cross-sectional study</article-title>. <source>Brain Sci.</source> (<year>2024</year>) <volume>14</volume>:<fpage>145</fpage>. doi: <pub-id pub-id-type="doi">10.3390/brainsci14020145</pub-id><pub-id pub-id-type="pmid">38391721</pub-id></mixed-citation>
</ref>
<ref id="B18">
<label>18.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sum</surname> <given-names>K</given-names></name> <name><surname>Cheshire</surname> <given-names>A</given-names></name> <name><surname>Ridge</surname> <given-names>D</given-names></name> <name><surname>Sengupta</surname> <given-names>D</given-names></name> <name><surname>Deb</surname> <given-names>S</given-names></name></person-group>. <article-title>Doctors&#x00027; and nurses&#x00027; eating practices during shift work: findings from a qualitative study</article-title>. <source>Proc Nutr Soc.</source> (<year>2024</year>) <volume>83</volume>:<fpage>E204</fpage>. doi: <pub-id pub-id-type="doi">10.1017/S0029665124004282</pub-id></mixed-citation>
</ref>
<ref id="B19">
<label>19.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cappelleri</surname> <given-names>JC</given-names></name> <name><surname>Bushmakin</surname> <given-names>AG</given-names></name> <name><surname>Gerber</surname> <given-names>RA</given-names></name> <name><surname>Leidy</surname> <given-names>NK</given-names></name> <name><surname>Sexton</surname> <given-names>CC</given-names></name> <name><surname>Karlsson</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Evaluating the Power of Food Scale in obese subjects and a general sample of individuals: development and measurement properties</article-title>. <source>Int J Obes.</source> (<year>2009</year>) <volume>33</volume>:<fpage>913</fpage>&#x02013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ijo.2009.107</pub-id><pub-id pub-id-type="pmid">19506564</pub-id></mixed-citation>
</ref>
<ref id="B20">
<label>20.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>&#x000DC;lker</surname> <given-names>I</given-names></name> <name><surname>Ayyildiz</surname> <given-names>F</given-names></name> <name><surname>Yildiran</surname> <given-names>H</given-names></name></person-group>. <article-title>Validation of the Turkish version of the Power of Food Scale in adult population</article-title>. <source>Eat Weight Disord.</source> (<year>2021</year>) <volume>26</volume>:<fpage>1179</fpage>&#x02013;<lpage>86</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40519-020-01019-x</pub-id><pub-id pub-id-type="pmid">33006077</pub-id></mixed-citation>
</ref>
<ref id="B21">
<label>21.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lovibond</surname> <given-names>PF</given-names></name> <name><surname>Lovibond</surname> <given-names>SH</given-names></name></person-group>. <article-title>The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories</article-title>. <source>Behav Res Ther.</source> (<year>1995</year>) <volume>33</volume>:<fpage>335</fpage>&#x02013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1016/0005-7967(94)00075-U</pub-id><pub-id pub-id-type="pmid">7726811</pub-id></mixed-citation>
</ref>
<ref id="B22">
<label>22.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sari&#x000E7;am</surname> <given-names>H</given-names></name></person-group>. <article-title>The psychometric properties of Turkish version of depression anxiety stress scale-21 (DASS-21) in health control and clinical samples</article-title>. <source>J Cogn Behav Psychother Res.</source> (<year>2018</year>) <volume>7</volume>:<fpage>19</fpage>&#x02013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.5455/JCBPR.274847</pub-id></mixed-citation>
</ref>
<ref id="B23">
<label>23.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Onwezen</surname> <given-names>MC</given-names></name> <name><surname>Reinders</surname> <given-names>MJ</given-names></name> <name><surname>Verain</surname> <given-names>MCD</given-names></name> <name><surname>Snoek</surname> <given-names>HM</given-names></name></person-group>. <article-title>The development of a single-item Food Choice Questionnaire</article-title>. <source>Food Qual Prefer.</source> (<year>2019</year>) <volume>71</volume>:<fpage>34</fpage>&#x02013;<lpage>45</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.foodqual.2018.05.005</pub-id></mixed-citation>
</ref>
<ref id="B24">
<label>24.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Haydaroglu</surname> <given-names>M</given-names></name> <name><surname>Dikmen</surname> <given-names>D</given-names></name> <name><surname>Bilgi&#x000E7;</surname> <given-names>P</given-names></name></person-group>. <article-title>Adaptation and validation of the Turkish version of a Single-Item Food Choice Questionnaire</article-title>. <source>Hacettepe Univ Fac Health Sci J.</source> (<year>2024</year>) <volume>11</volume>:<fpage>232</fpage>&#x02013;<lpage>46</lpage>. doi: <pub-id pub-id-type="doi">10.21020/husbfd.1363333</pub-id></mixed-citation>
</ref>
<ref id="B25">
<label>25.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Martinez-Perez</surname> <given-names>C</given-names></name> <name><surname>Daimiel</surname> <given-names>L</given-names></name> <name><surname>Climent-Mainar</surname> <given-names>C</given-names></name> <name><surname>Mart&#x000ED;nez-Gonz&#x000E1;lez</surname> <given-names>M&#x000C1;</given-names></name> <name><surname>Salas-Salvad&#x000F3;</surname> <given-names>J</given-names></name> <name><surname>Corella</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Integrative development of a short screening questionnaire of highly processed food consumption (sQ-HPF)</article-title>. <source>Int J Behav Nutr Phys Act.</source> (<year>2022</year>) <volume>19</volume>:<fpage>6</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12966-021-01240-6</pub-id><pub-id pub-id-type="pmid">35073909</pub-id></mixed-citation>
</ref>
<ref id="B26">
<label>26.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Erdogan G&#x000F6;vez</surname> <given-names>N</given-names></name> <name><surname>K&#x000F6;ksal</surname> <given-names>E</given-names></name> <name><surname>Martinez-Perez</surname> <given-names>C</given-names></name> <name><surname>Daimiel</surname> <given-names>L</given-names></name></person-group>. <article-title>Validity and reliability of the Turkish version of the screening questionnaire of highly processed food consumption (sQ-HPF)</article-title>. <source>Nutrients.</source> (<year>2024</year>) <volume>16</volume>:<fpage>2552</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu16152552</pub-id><pub-id pub-id-type="pmid">39125430</pub-id></mixed-citation>
</ref>
<ref id="B27">
<label>27.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Baron</surname> <given-names>RM</given-names></name> <name><surname>Kenny</surname> <given-names>DA</given-names></name></person-group>. <article-title>The moderator&#x02013;mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations</article-title>. <source>J Pers Soc Psychol.</source> (<year>1986</year>) <volume>51</volume>:<fpage>1173</fpage>&#x02013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.1037//0022-3514.51.6.1173</pub-id><pub-id pub-id-type="pmid">3806354</pub-id></mixed-citation>
</ref>
<ref id="B28">
<label>28.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>MS</given-names></name> <name><surname>Kim</surname> <given-names>T</given-names></name> <name><surname>Lee</surname> <given-names>D</given-names></name> <name><surname>Yook</surname></name> <name><surname>JH</surname></name> <name><surname>Hong</surname> <given-names>YC</given-names></name> <name><surname>Lee</surname> <given-names>SY</given-names></name> <etal/></person-group>. <article-title>Mental disorders among workers in the healthcare industry: 2014 national health insurance data</article-title>. <source>Ann Occup Environ Med.</source> (<year>2018</year>) <volume>30</volume>:<fpage>1</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40557-018-0244-x</pub-id><pub-id pub-id-type="pmid">29755753</pub-id></mixed-citation>
</ref>
<ref id="B29">
<label>29.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Moitra</surname> <given-names>M</given-names></name> <name><surname>Rahman</surname> <given-names>M</given-names></name> <name><surname>Collins</surname> <given-names>PY</given-names></name> <name><surname>Gohar</surname> <given-names>F</given-names></name> <name><surname>Weaver</surname> <given-names>M</given-names></name> <name><surname>Kinuthia</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Mental health consequences for healthcare workers during the COVID-19 pandemic: a scoping review to draw lessons for LMICs</article-title>. <source>Front Psychiatry.</source> (<year>2021</year>) <volume>12</volume>:<fpage>602614</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpsyt.2021.602614</pub-id><pub-id pub-id-type="pmid">33584383</pub-id></mixed-citation>
</ref>
<ref id="B30">
<label>30.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Juliana</surname> <given-names>N</given-names></name> <name><surname>Mohd Azmi</surname> <given-names>NAS</given-names></name> <name><surname>Effendy</surname> <given-names>N</given-names></name> <name><surname>Mohd Fahmi Teng</surname> <given-names>NI</given-names></name> <name><surname>Azmani</surname> <given-names>S</given-names></name> <name><surname>Baharom</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Exploring the associated factors of depression, anxiety, and stress among healthcare shift workers during the COVID-19 pandemic</article-title>. <source>Int J Environ Res Public Health.</source> (<year>2022</year>) <volume>19</volume>:<fpage>9420</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph19159420</pub-id><pub-id pub-id-type="pmid">35954779</pub-id></mixed-citation>
</ref>
<ref id="B31">
<label>31.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Celik Erden</surname> <given-names>S</given-names></name> <name><surname>Karakus Yilmaz</surname> <given-names>B</given-names></name> <name><surname>Kozaci</surname> <given-names>N</given-names></name> <name><surname>Uygur</surname> <given-names>AB</given-names></name> <name><surname>Yigit</surname> <given-names>Y</given-names></name> <name><surname>Karakus</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>The relationship between depression, anxiety, and stress levels and eating behavior in emergency service workers</article-title>. <source>Cureus.</source> (<year>2023</year>) <volume>15</volume>:<fpage>e34979</fpage>. doi: <pub-id pub-id-type="doi">10.7759/cureus.35504</pub-id><pub-id pub-id-type="pmid">37007378</pub-id></mixed-citation>
</ref>
<ref id="B32">
<label>32.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Almajwal</surname> <given-names>AM</given-names></name></person-group>. <article-title>Stress, shift duty, and eating behavior among nurses in Central Saudi Arabia</article-title>. <source>Saudi Med J.</source> (<year>2016</year>) <volume>37</volume>:<fpage>191</fpage>&#x02013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.15537/smj.2016.2.13060</pub-id><pub-id pub-id-type="pmid">26837403</pub-id></mixed-citation>
</ref>
<ref id="B33">
<label>33.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gifkins</surname> <given-names>J</given-names></name> <name><surname>Johnston</surname> <given-names>A</given-names></name> <name><surname>Loudoun</surname> <given-names>R</given-names></name></person-group>. <article-title>The impact of shift work on eating patterns and self-care strategies utilised by experienced and inexperienced nurses</article-title>. <source>Chronobiol Int.</source> (<year>2018</year>) <volume>35</volume>:<fpage>811</fpage>&#x02013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1080/07420528.2018.1466790</pub-id><pub-id pub-id-type="pmid">29737884</pub-id></mixed-citation>
</ref>
<ref id="B34">
<label>34.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>C</given-names></name> <name><surname>Valizadeh Aslani</surname> <given-names>T</given-names></name> <name><surname>Rosen</surname> <given-names>GL</given-names></name> <name><surname>Anderson</surname> <given-names>LM</given-names></name> <name><surname>Jungquist</surname> <given-names>CR</given-names></name></person-group>. <article-title>Healthcare shift workers&#x00027; temporal habits for eating, sleeping, and light exposure: a multi-instrument pilot study</article-title>. <source>J Circadian Rhythms.</source> (<year>2020</year>) <volume>18</volume>:<fpage>6</fpage>. doi: <pub-id pub-id-type="doi">10.5334/jcr.199</pub-id><pub-id pub-id-type="pmid">33133210</pub-id></mixed-citation>
</ref>
<ref id="B35">
<label>35.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Antunes</surname> <given-names>LDC</given-names></name> <name><surname>Levandovski</surname> <given-names>R</given-names></name> <name><surname>Dantas</surname> <given-names>G</given-names></name> <name><surname>Caumo</surname> <given-names>W</given-names></name> <name><surname>Hidalgo</surname> <given-names>MP</given-names></name></person-group>. <article-title>Obesity and shift work: chronobiological aspects</article-title>. <source>Nutr Res Rev.</source> (<year>2010</year>) <volume>23</volume>:<fpage>155</fpage>&#x02013;<lpage>68</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0954422410000016</pub-id><pub-id pub-id-type="pmid">20122305</pub-id></mixed-citation>
</ref>
<ref id="B36">
<label>36.</label>
<mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Souza</surname> <given-names>RV</given-names></name> <name><surname>Sarmento</surname> <given-names>RA</given-names></name> <name><surname>de Almeida</surname> <given-names>JC</given-names></name> <name><surname>Canuto</surname> <given-names>R</given-names></name></person-group>. <article-title>The effect of shift work on eating habits: a systematic review</article-title>. <source>Scand J Work Environ Health.</source> (<year>2019</year>) <volume>45</volume>:<fpage>7</fpage>&#x02013;<lpage>21</lpage>. doi: <pub-id pub-id-type="doi">10.5271/sjweh.3759</pub-id><pub-id pub-id-type="pmid">30088659</pub-id></mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1344447/overview">Carla Gon&#x000E7;alves</ext-link>, Universidade de Tr&#x000E1;s-os-Montes e Alto Douro, Portugal</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2745676/overview">T&#x000E2;nia Silva-Santos</ext-link>, Polytechnical Institute of Coimbra, Portugal</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2952225/overview">Fatma &#x000D6;zsel &#x000D6;zcan</ext-link>, Hali&#x000E7; University, T&#x000FC;rkiye</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3156523/overview">Ant&#x000F3;nio Jos&#x000E9; Gon&#x000E7;alves Fernandes</ext-link>, Polytechnic Institute of Bragan&#x000E7;a (IPB), Portugal</p>
</fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbr1"><label>Abbreviations:</label><p>BMI, body mass index; DASS-21, depression anxiety stress scale; FCQ, Single-Item food choice questionnaire; PFS-Tr, power of food scale; sQ-HPF, short screening questionnaire for highly processed food consumption.</p></fn></fn-group>
</back>
</article>