<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.134524.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>How many university students perceive themselves to be overweight/obese and how many have eating disorders during remote education due to COVID-19? A cross-sectional study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes" equal-contrib="yes">
                    <name>
                        <surname>Moya-Salazar</surname>
                        <given-names>Jeel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Goicochea-Palomino</surname>
                        <given-names>Eliane A.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4750-7496</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Moya-Salazar</surname>
                        <given-names>Mar&#x00ed;a Jes&#x00fa;s S.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rojas-Zumaran</surname>
                        <given-names>V&#x00ed;ctor</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Contreras-Pulache</surname>
                        <given-names>Hans</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2450-9349</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Faculties of Health Science, Universidad Privada del Norte, Lima, Peru</aff>
                <aff id="a2">
                    <label>2</label>School of Medical Technologist, Faculties of Health Science, Universidad Tecnologica del Peru, Lima District, Lima Region, 51001, Peru</aff>
                <aff id="a3">
                    <label>3</label>Qualitative Unit, Nesh Hubbs, Lima, 51001, Peru</aff>
                <aff id="a4">
                    <label>4</label>South American Center for Research in Education and Public Health, Universidad Norbert Wiener, Lima District, Lima Region, 51001, Peru</aff>
                <aff id="a5">
                    <label>5</label>Department of Pathology, Hospital Nacional Docente Madre Ni&#x00f1;o San Bartolom&#x00e9;, Lima, Peru</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:jeel.moya@gmail.com">jeel.moya@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>31</day>
                <month>7</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>912</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>3</day>
                    <month>7</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Moya-Salazar J et al.</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/12-912/pdf"/>
            <abstract>
                <p>Background: The COVID-19 pandemic caused a health crisis worldwide that ended up affecting the daily lives of university students. Considering prevention strategies for contagion and decreased physical activity, altered perceptions of body image were seen that may negatively disrupt their eating habits.</p>
                <p>Methods: Our cross-sectional survey-based study (N=180) had the objective to determine the association between body image perception and the risk of eating disorders in university students during the pandemic. We surveyed male and female university students aged 18-35 years using the Montero Anatomical Models questionnaire and the Eating Attitude Test-26 (EAT-26) as instruments.</p>
                <p>Results: Most of the university students were female (67.8%) with an average age of 22.8&#x00b1;3.9 years. 51.1% perceived themselves as overweight and 53.9% were at low risk of an eating disorder. This mainly affected women (47.5%), the 21-30 age group (43.2%), and those who perceived themselves as underweight (58.9%) or obese (50%). Likewise, we found differences in body image perception between genders (p=0.009), and no association was found between body image and eating disorders (p=0.661).</p>
                <p>Conclusion: Even though most university students perceived themselves as overweight, they had a low risk of an eating disorder. Considering the influence that body image perception has on their lifestyle, it is necessary to promote healthy eating habits and self-esteem strategies to prevent the appearance of eating disorders due to body dissatisfaction in the context of the &#x201c;new normal&#x201d;.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>COVID-19</kwd>
                <kwd>body image</kwd>
                <kwd>mental disorders</kwd>
                <kwd>eating disorders</kwd>
                <kwd>students</kwd>
                <kwd>obesity</kwd>
                <kwd>overweight</kwd>
                <kwd>weight perception</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>The COVID-19 pandemic has had major health, economic, financial, and social consequences worldwide.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Not only because of the direct effects of this disease on the general health of people, but also because of the impact of infection prevention strategies that have led to unprecedented social restructuring.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> In spite of the implementation of mass lockdowns, cessation of mobility, social distancing and vaccination, the violent spread of the virus has not been fully controlled.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Therefore, the fear of contagion and the possible decease of infected family members were particularly challenging circumstances that produced uncertainty and severely affected the mental health of people without discrimination.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Especially because evidence indicates that social isolation brought with it manifestations of insomnia and other disorders such as anxiety disorders and depression.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> It should be noted that an alteration of body image in people was also observed as a result of the limitation of physical activity in freely available spaces.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> A study in a Chilean population indicated that people with less weekly physical activity time were more concerned about their body image, causing an increase in concern about weight and body shape, and in turn, negatively disturbing eating habits.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Besides, overweight, and obese Argentinian women, compared to women of healthy weight, have been reported to have a greater concern and negative perception of their body image, with an increased frequency of snacking between meals, binge eating, dieting behavior and the use of laxatives, diuretics, and diet pills.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> Likewise, 5.2 million electronic health records of people under 30 years of age, mostly Americans, showed that the overall incidence of eating disorders increased by 15.3% with increased risk of suicidal behavior during 2020.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>A recent systematic review found that university students may be more likely to be physically inactive during the COVID-19 pandemic since education and work became virtual, which forced them to spend more rest time.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> According to an Ecuadorian study, 73.3% of their university students answered that they had a sedentary lifestyle and, as a consequence, 54.2% considered that they had gained weight.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> For this reason, these sedentary behaviors are associated with a generally negative body image perception (fear of being overweight) exposing university students to the pressure to have a specific, athletic, and slim body appearance.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> This results not only in negative thoughts, but also in distorted appraisals of their bodies, leading to high levels of body dissatisfaction.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> As seen in university students in Panama, 66% had distorted body image and 79% felt dissatisfied with their body image. In addition, 47% engaged in risky eating behaviors and there was a significant relationship between these behaviors and self-perceived body image.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>As mentioned, the risk of having an eating disorder increased due to the psychological stress that occurred during the lockdown. This causes major public health challenges, as they often appear early in life and continue into adulthood.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> For this reason, university students are even more vulnerable to eating disorders during their adult transition, as they have an academic burden and frequent financial difficulties when integrating independently into society.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> A study in French university students showed that the prevalence of eating disorders is generally higher in females (51.6%) compared to males.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> Similar results were found on the perception of body image dissatisfaction in two universities in Latin America, namely in Peru and Chile (69.7% and 47.7% respectively) affecting more females.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Considering the influence of body image, the risk of eating behaviors presents in the university population, and the long-term public health consequences of this type of disorder, it is key to understand the current scenario to carry out programs and interventions that promote self-esteem and the prevention of eating disorders.</p>
            <p>The objective of this study is to determine the association between body image perception and the risk of eating disorders in university students during the COVID-19 pandemic. The study hypotheses were that i) there is a positive association between body image perception and risk of eating disorders, ii) there is a high frequency of body image perception in overweight and obese individuals, and iii) there is a high risk of eating disorders in Peruvian university students. Clearly this comprehensive approach to body image and eating practices is important to understand how the pandemic has affected these variables.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Study design, settings and populations</title>
                <p>This is a cross-sectional survey-based study. Peru, a South American country with approximately 33 million inhabitants, shares a common trend with many nations in the region&#x2014;population centralism in its capital, Lima. Since March 15, 2020, Peru has confronted the challenges posed by the COVID-19 pandemic, enduring three distinct waves corresponding to each year of its duration. Notably, in 2022, the emergence of the SARS-CoV-2 omicron (B.1.1.529.1) variant resulted in a significant surge in infections between February and June of that particular year, adding to the complexity of the situation. In response to the pandemic, the country implemented measures including remote learning for all educational activities. However, starting from 2022, a hybrid model for university education was introduced, combining in-person and remote components as part of the country&#x2019;s efforts to adapt to the changing circumstances. The study was carried out during the period of July to August 2022 within a hybrid/asynchronous educational setting. The participant pool comprised 180 university students, both male and female, hailing from Lima, Peru. All participants resided in urban areas and were from Health Sciences (i.e., nursing, medicine) (
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Baseline characteristics of university students.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Categories</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">N</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Gender</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32.2</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">122</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Age</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18 to 20 years</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27.2</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21 to 30 years</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">118</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">65.6</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">31 to 35 years</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Work</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">83</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46.1</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">53.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="middle">Work modality</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">On-site</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">71</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">85.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Remote</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.8</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec4">
                <title>Sampling and inclusion criteria</title>
                <p>Participants met the inclusion criteria. They were students between 18 and 35 years of age, without physical disability or pathology that altered their perception of body image, and who belonged to the Universidad Norbert Wiener (UNW), the Universidad Tecnol&#x00f3;gica del Per&#x00fa; (UTP), and the Universidad Nacional Mayor de San Marcos (UNMSM) (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). Every university adhered to the Superintendencia Nacional de Educaci&#x00f3;n Superior Universitaria (SUNEDU) regulations and allowed students to attend virtual or hybrid classes during the lockdown. UNW and UTP are private universities, while UNMSM is a major public university of Peru. These universities use digital platforms such as Zoom and Blackboard, and the effectiveness of these models has shown teaching effectiveness during the pandemic.
                    <sup>
                        <xref ref-type="bibr" rid="ref17">17</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref18">18</xref>
                    </sup> We used simple randomized sampling and no pregnant women participated.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Student selection flowchart.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/147586/7c82af4c-ba1a-4cd3-968d-493666e85234_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec5">
                <title>Instruments</title>
                <p>Two instruments were used in this research. These were shared as surveys conducted in Google FormsTM (Google, CA) through WhatsApp (Meta, CA) with the study groups of each semester, being completed virtually. We used the Montero&#x2019;s Anatomical Models questionnaire.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup> This instrument allows us to identify the body image perception of the participants based on average adult body sizes between 18 and 30 years of age, and with 7 anatomical models per gender.
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup> The Montero questionnaire has been validated in the general population and university students with high internal consistency (&#x03b1;=0.816). Each analysis was initially conducted by asking students to choose to classify their perceived nutritional status as: underweight, normal weight, overweight and obese, based on self-determined BMI.
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup>
                </p>
                <p>The second questionnaire used was the Eating Attitude Test-26 (EAT-26) to assess the risk of eating disorders in students. It was created in 1979 and originally had 40 items.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup> It was later shortened to 26 items in 1982,
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup> and in 2005, it was translated and validated in Spanish.
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> This instrument has a high internal reliability described in several previous studies in Spanish and English versions (&#x03b1;=0.850 to0.890).
                    <sup>
                        <xref ref-type="bibr" rid="ref24">24</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref25">25</xref>
                    </sup> The responses are presented on a Likert scale with decreasing ordinality: always (3 points), very often (2 points), often (1 point), sometimes (0 points), rarely (0 points) and never (0 points). Only item 25 is scored in the opposite way. According to the scores obtained, the risk of eating disorder is categorized as low (&#x2264;20 points) and high (&gt;20 points).
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec6">
                <title>Variables, data processing and analysis</title>
                <p>The study variables were body image perception (underweight, normal weight, overweight and obese) and risk of eating disorder (low and high). Surveys were completed virtually on Google Forms
                    <sup>TM</sup> (Google, CA) and then shared via WhatsApp (Meta, CA) through each semester&#x2019;s study groups. Virtual informed consent was used prior to each survey and data were gathered directly to the Google storage array, where a total of 198 participants were obtained, but only 180 were considered after quality control of participant answers (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <p>Initially, the data were coded and entered into IBM SPSS v24.0 (Armonk, USA) for analysis. Then, we used the Kolmogorov-Smirnov test to find a normal distribution and used the non-paired T-test and one-way ANOVA with Bonferroni post hoc test to determine differences between perceived body images according to eating disorder. Finally, we used Spearman&#x2019;s correlation coefficient to determine the association between variables and binary logistic regression to predict eating disorder and disturbed body image perception variables. For all tests we considered a threshold p=0.05 and a confidence interval of 95% as statistically significant.</p>
            </sec>
        </sec>
        <sec id="sec7" sec-type="results">
            <title>Results</title>
            <p>A total of 198 participants who met the inclusion criteria were initially obtained for the study. However, after conducting a quality check of the participants&#x2019; responses, 180 participants were considered for further analysis. The average age of the university students was 22.8&#x00b1;3.9 years (95% CI: 22.3 to 23.4), ranging from 18 to 35 years. The most common age group among the participants was 21 to 30 years, accounting for 65.6% (118/180), and the majority of the participants were women, constituting 67.8% (112/180). Among the participants, 46.1% (83/180) were employed, with the majority working on-site, accounting for 85.5% (71/180) of the employed participants. The full dataset can be found under 
                <italic toggle="yes">Underlying data.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup>
            </p>
            <p>Regarding Body Image perception, 51.1% (92/180) perceived themselves as overweight and 22.2% (40/180) as obese. Overweight and obesity were more frequent in women (47.5%, 58/122 and 18.9%, 23/122, respectively), and in the 21-30 age group (53.4%, 63/118 and 25.4%, 30/118, respectively). We found differences in body image perception between genders (p=0.009). According to employment status, the majority perceived themselves as overweight, regardless of whether they were working (57.8%, 48/83) or unemployed (42.7%, 44/97) (
                <xref ref-type="table" rid="T2">Table 2</xref>).</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Body Image Perception according to socio-demographic characteristics [N (%)].</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="3" valign="top">Characteristics</th>
                            <th align="left" colspan="4" rowspan="1" valign="top">Body Image Perception</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="3" valign="top">P-value</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Underweight</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Normal</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Overweight</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Obesity</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Total</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Gender</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3(5.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(6.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">34(58.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17(29.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58(32.2)</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">0.009</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9(7.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">32(26.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58(47.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">23(18.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">122(67.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Age</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 to 20 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7(14.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14(28.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22(44.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6(12.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49(27.2)</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.053</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 to 30 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(3.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21(17.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">63(53.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30(25.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">118(65.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">31 to 35 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1(7.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1(7.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7(53.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(30.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">13(7.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Work</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1(1.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18(21.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48(57.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16(19.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">83(46.1)</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">0.345</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11(10.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18(17.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">44(42.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24(23.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">97(53.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Work modality</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">On-site</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1(1.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16(22.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">39(54.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15(21.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">71(85.5)</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.661</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Remote</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0(0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1(12.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7(87.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0(0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8(9.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0(0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1(25)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2(50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1(25)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(4.8)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>46.1% (83/180) of the university students were at high risk for an eating disorder. The majority were female (47.5%, 58/122) and in the 21-30 age group (43.2%, 51/118). 49.5% (48/97) were unemployed and of the working group and had high risk of developing an eating disorder, and 43.7% (31/71) were in a classroom-based modality (
                <xref ref-type="table" rid="T3">Table 3</xref>). Only gender was a predictor of body image (&#x03b2;=-0.342&#x00b1;0.129, 95%CI: -0.597 to -0.087) in university students during hybrid education (p=0.010).</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>Risk of eating disorder by socio-demographic characteristics. Data in N (%).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="3" valign="top">Characteristics</th>
                            <th align="left" colspan="3" rowspan="1" valign="top">EAT-26</th>
                            <th align="left" colspan="1" rowspan="3" valign="top">P-value</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Low risk of eating disorder</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">High risk of eating disorder</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Total</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N (%)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Gender</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33(56.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25(43.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58(32.2)</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">0.579</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">64(52.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58(47.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">122(67.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Age</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 to 20 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22(44.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">27(55.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49(27.2)</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.125</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 to 30 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">67(56.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">51(43.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">118(65.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">31 to 35 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8(61.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5(38.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">13(7.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Work</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48(57.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35(42.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">83(46.1)</td>
                            <td align="left" colspan="1" rowspan="2" valign="middle">0.073</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49(50.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48(49.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">97(53.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Work modality</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">On-site</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40(56.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">31(43.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">71(85.5)</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.329</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Remote</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8(9.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mixed</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(100)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0(0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4(4.8)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Although most of the participants answered that they never vomit after eating (80%,144/180) or feel like vomiting afterwards (72.2%, 130/180). Always, and very often 2.2% (4/180) and 6.7% (12/180) of students answered that they like to feel an empty stomach, 5% (9/180) and 8.3% (15/180) feel very guilty after eating, and 2.8% (5/180) and 3.3% (6/180) feel that food controls their life, respectively. Only 1.7% (3/180) and 5.6% (10/180) of students always and frequently exercise a lot to burn calories, while only 3.3% (6/180) always take into account the calories in the food they eat. On the other hand, 31.7% (57/180) and 25% (45/180) of students never or rarely eat food with a lot of carbohydrates (i.e., bread, rice). 35% (63/180) never noticed that others would prefer them to eat more and for 30.6%, (55/180) others never perceived them as too thin. We found no association between body image and eating disorders (p=0.662).</p>
            <p>Finally, we found that most of the participants who perceived themselves as underweight were at high risk of an eating disorder 58.9% (7/12). The same was true for 50% (20/40) of those who perceived themselves as obese (
                <xref ref-type="fig" rid="f2">Figure 2</xref>). We found no association between body image and eating disorders (p=0.661).</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Risk of eating disorder according to body image perception of Peruvian university students.</title>
                    <p>Most students at high risk of an eating disorder were overweight (n=41) and obese (n=20). Data in N, *p=0.598.</p>
                </caption>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/147586/7c82af4c-ba1a-4cd3-968d-493666e85234_figure2.gif"/>
            </fig>
        </sec>
        <sec id="sec8" sec-type="discussion">
            <title>Discussion</title>
            <p>This study showed that just over half and almost a quarter of the university students perceived themselves to be overweight and obese, respectively. Also, about half were at high risk for an eating disorder, mainly affecting females aged 21-30 years. Likewise, most students who perceived themselves as underweight were at high risk of developing an eating disorder, as were half of those who perceived themselves as obese.</p>
            <p>A strength of the study is it is the first association study of body image and eating disorders in university students who have undertaken remote education. Research in this area has been conducted in Peru
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref27">26</xref>
                </sup> but none has included an analysis of the university population during the third year of the COVID-19 pandemic, a year when they were transitioning from fully digital education to a hybrid model. On the other hand, this study has used an instrument that has anatomical silhouettes specifically made and applied to an adult population within the average age range of university students.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> The COVID-19 pandemic has posed challenges for on-site nutritional monitoring, leading to limited access to accurate BMI measurements among participants.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> In virtual and remote education settings, the use of silhouettes has emerged as a valuable tool for estimating body image and gauging the health status of university students. Furthermore, this study benefits from the utilization of the EAT-26 questionnaire, which possesses robust psychometric properties for evaluating eating disorders within this specific population.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> As the &#x201c;new normal&#x201d; has ushered in hybrid and remote education, disruptions in dietary habits during educational activities have become apparent.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref28">27</xref>
                </sup> Our findings present a fresh perspective on assessing both nutritional aspects and offer insights to guide interventions aimed at addressing the adverse effects on students&#x2019; well-being. This framework contributes to a better understanding of the situation and promotes proactive measures to mitigate the negative impacts experienced by students.</p>
            <p>Our findings showed that females, participants aged 21-30 years and those perceived to be overweight or obese were at high risk of disordered eating. These results are consistent with the finding in French university students,
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> where women (51.6%) and first- and second-year students had the highest prevalence of disordered eating, although only 13.5% were overweight and 5.4% obese. Also, even though American university students did not show statistically significant changes in BMI, 60% had increased concerns about body weight and shape and their eating habits since the start of COVID-19.
                <sup>
                    <xref ref-type="bibr" rid="ref29">28</xref>
                </sup> This pressure on body appearance was also experienced by 57-85% of students at nine large universities in Norway, finding that it is negatively related to body esteem, self-esteem, and life satisfaction.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> Furthermore, they identified that this generates an unfavorable pattern in the mental health of university students related to their body image.</p>
            <p>A study in Colombian university students
                <sup>
                    <xref ref-type="bibr" rid="ref30">29</xref>
                </sup> that also used anatomical silhouettes for body image perception supports our results which estimated that ~51% self-perceive themselves as overweight. Similarly, another Peruvian study
                <sup>
                    <xref ref-type="bibr" rid="ref31">30</xref>
                </sup> conducted among university students in the Municipality of Arequipa in 2020 showed that 27.8%, 16.7% and 8.7% had mild, moderate, and extreme body image concerns, respectively. Another study conducted in the same municipality in 2021 showed that 69.7% of students were dissatisfied with their body image, 82.4% were female and 67.9% engaged in moderate- to high-intensity physical activity.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Peruvian students have changed their body perception and satisfaction during the COVID-19 pandemic, and in the context of virtual education, this perception has been favored by study habits and remote activities. On the other hand, in both French and American university students, along with the prevalence or risk of eating disorders and body image concerns, a decrease in physical activity was observed in university students.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref29">28</xref>
                </sup> In contrast, no change in BMI or body image was reported in Lithuanian university students despite a significant decrease in physical activity levels.
                <sup>
                    <xref ref-type="bibr" rid="ref31">30</xref>
                </sup>
            </p>
            <p>This change was most marked in women, who reported an increase in body image satisfaction, even though their BMI increased. Our results have identified that more than half of the women had eating disorders and an over-perception of their body image (i.e., overweight), and although we did not assess physical activity, it is possible that a large proportion of these students may have reduced their physical activity during the virtual classes because of COVID-19, as a recent study has shown.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> It is important to develop a tripartite analysis of these variables since coping with bodily and nutritional changes may be optimal but also leads to a risk for the development of pathologies. As stated by the previously mentioned studies and reaffirmed by a systematic review, during the &#x201c;new normal&#x201d; the physical activity levels of university students tend to decrease or have negative changes as education and work become virtual, and they are forced to spend more time resting.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref31">30</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref32">31</xref>
                </sup>
            </p>
            <p>Thus, there was an increase in sedentary behaviors, confirmed by two studies in American
                <sup>
                    <xref ref-type="bibr" rid="ref29">28</xref>
                </sup> and Ecuadorian university students (73.3% led a sedentary lifestyle).
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> In view of this, physical activity levels during the pandemic are important. A study of Brazilian university students showed that physically active university students during lockdown had positive changes in appearance, and 50.7% reported negative changes when faced with the demands of meeting social standards of beauty.
                <sup>
                    <xref ref-type="bibr" rid="ref31">30</xref>
                </sup> These negative thoughts and distorted appraisals of their bodies can lead to high levels of body dissatisfaction.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Similarly, there is a report of Chilean university students, who had dissatisfaction in their perception of their body image (47.7%), affecting women more frequently.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Likewise, 79% of university students in Panama also felt dissatisfied with their body image, 66% had body image distortion, 47% had risky eating behaviors, and a significant relationship was found between these behaviors and self-perceived body image.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> These results are consistent with our findings and together expose possible nutritional disturbances in university students during the &#x201c;new normal&#x201d; of the COVID-19 pandemic.</p>
            <p>According to our results, no association was found between body image perception and risk of eating disorder. This is supported by another Peruvian study in the Municipality of Arequipa.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Moreover, our results showed that only women showed a predicted increased risk of body image disturbance, but not the risk of an eating disorder, in agreement with studies in Norway, Ecuador, Chile, Peru and Brazil.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">32</xref>
                </sup> Altogether, these studies show independent changes in the two variables, however, both may converge when there are risk factors (decreased physical activity, increased sedentary behaviors, psychological stress, insomnia) as previously reported.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref28">27</xref>
                </sup>
            </p>
            <p>A recent review
                <sup>
                    <xref ref-type="bibr" rid="ref34">33</xref>
                </sup> has shown a considerable increase in eating disorders during the pandemic and a worsening of its symptoms due to the lack of care and treatment, disruption of daily routine, negative influence of the media and the internet,
                <sup>
                    <xref ref-type="bibr" rid="ref35">34</xref>
                </sup> and isolation due to security measures against COVID-19. The short-term effects of the pandemic on eating disorders have been reported.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref36">35</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref37">36</xref>
                </sup> These investigations and systematic reviews
                <sup>
                    <xref ref-type="bibr" rid="ref38">37</xref>
                </sup> have not considered the university population of Latin American countries where the pandemic has hit differently. Even local or regional
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">32</xref>
                </sup> studies have evaluated EDs but have not proven their link to body image. College students&#x2019; physical expectations during the pandemic may lead to dissatisfaction with how they are portrayed in the pandemic&#x2019;s virtual environment. It has been seen
                <sup>
                    <xref ref-type="bibr" rid="ref39">38</xref>
                </sup> that the impact of social networks on the perception of body image could lead to eating disorders. Although in this study, we did not find a relationship between both variables, it is possible that in rural or peri-urban populations, as well as in specific groups of university students (i.e., high-performance athletes or models),
                <sup>
                    <xref ref-type="bibr" rid="ref40">39</xref>
                </sup> the links between eating disorder could be different. It is important to comprehensively study these phenomena, including the family core,
                <sup>
                    <xref ref-type="bibr" rid="ref41">40</xref>
                </sup> the political position on the body (body positive or neutrally),
                <sup>
                    <xref ref-type="bibr" rid="ref42">41</xref>
                </sup> lifestyles,
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> and access to technology and income.
                <sup>
                    <xref ref-type="bibr" rid="ref43">42</xref>
                </sup>
            </p>
            <p>This study had limitations. First, the physical activity (including physical activity in the gym) performed by university students was not taken into account. Physical activity is a key factor because lockdown led to changes in daily life and thus decreased physical activity.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Low levels of physical activity have been reported to be associated with increased body image concerns.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> In addition, since we were in an optional and asynchronous hybrid environment, we could not measure the height, weight, and BMI of the participants in this research with surveys. Second, demographic and work factors were considered in the analysis, but other factors such as social media use (which increased during lockdown) may lead to a negative perception of body image and increased risk of eating disorders.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Third, the effects of remote education have not been evaluated as influential factors in changes in body image perception, the development of conduct and eating disorders, and reduced physical activity. Finally, we had a small sample of students from each university that could affect the results. However, this topic is important since several Peruvian universities continue to provide virtual, hybrid and asynchronous classes that place students in a &#x201c;new&#x201d; context and may support nutritional changes.</p>
        </sec>
        <sec id="sec9" sec-type="conclusions">
            <title>Conclusions</title>
            <p>University students enrolled in virtual classes, aged 18 to 35, are commonly perceived as overweight and at a low risk of developing an eating disorder. This perception particularly affects women, with young students between 21 and 30 years old being more prone to being perceived as overweight or obese. Given the ongoing third year of the COVID-19 pandemic and the restrictions imposed by the Peruvian government, it is crucial to address the students&#x2019; situation and implement measures to enhance their nutritional well-being and promote healthy habits. Recognizing the significant impact that body image perception has on the lifestyle of university students, it becomes imperative to encourage the adoption of healthy eating practices and self-esteem enhancement strategies. By doing so, we can mitigate the risk of eating disorders stemming from dissatisfaction with one&#x2019;s body, which is often influenced by societal beauty standards within the context of the &#x201c;new normal.&#x201d;</p>
        </sec>
        <sec id="sec10">
            <title>Ethics and consent</title>
            <p>This study has complied with bioethical principles and the guidelines of the Helsinki declaration (WMA, 2013)
                <sup>
                    <xref ref-type="bibr" rid="ref26">43</xref>
                </sup> and had the approval of the Ethics Committee of the Norbert Wiener University (Registration No. 01963-2022). Informed consent was obtained from all subjects involved in the study.</p>
        </sec>
        <sec id="sec11">
            <title>Author contributions</title>
            <p>Conceptualization, J.M.-S. and E.A.G.-P.; methodology, J.M.-S., H.C.-P., and E.A.G.-P.; software, V.R.-Z.; validation, J.M.S., M.J.S.M.-S. and E.A.G.-P.; formal analysis, J.M.-S. and E.A.G.-P.; investigation, H.C.-P.; resources, V.R.-Z.; data curation, M.J.S.M.-S. and E.A.G.-P.; writing&#x2014;original draft preparation, J.M.-S. and E.A.G.-P.; writing&#x2014;review and editing, J.M.-S., V.R.-Z., H.C.-P, and M.J.S.M.-S.; visualization, J.M.-S.; supervision, H.C.-P.; project administration, E.A.G.-P. All authors have read and agreed to the published version of the manuscript.</p>
        </sec>
    </body>
    <back>
        <sec id="sec14" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec15">
                <title>Underlying data</title>
                <p>Figshare: 180 university students_perception of body image_eating disorders.xlsx, Doi: 
                    <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.6084/m9.figshare.23247983">http://dx.doi.org/10.6084/m9.figshare.23247983</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref44">44</xref>
</sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>180 university students_perception of body image_eating disorders.xlsx
</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec16">
                <title>Extended data</title>
                <p>This project contains the following extended data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Montero.docx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Questionnaire_EAT-26.docx
</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors thank the university students for their selfless and voluntary collaboration during the study. In addition, we thank the Nesh Hubbs team for their support in the statistical analysis and review of the manuscript.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report205819">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.147586.r205819</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Colak</surname>
                        <given-names>Hatice</given-names>
                    </name>
                    <xref ref-type="aff" rid="r205819a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5502-8762</uri>
                </contrib>
                <aff id="r205819a1">
                    <label>1</label>&#x00dc;sk&#x00fc;dar University, Istanbul, Turkey</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>6</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Colak H</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport205819" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.134524.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <list list-type="bullet">
                    <list-item>
                        <p>Table 1 and Table 2 almost hav esame information. That is why Table 1 can be removed.</p>
                    </list-item>
                    <list-item>
                        <p>Please check if &#x201c;SPSS v24&#x201d; is correct or not. Or should be SPSS 24?</p>
                    </list-item>
                    <list-item>
                        <p>Normally, you need to calculate the sample size before starting the study. For university students, 180 people is usually not enough data for cross-sectional studies. Also, since it was conducted in a single faculty, it cannot be generalized to all university students. At this point, indicate if a sample size calculation has been made or report the method by which you included the number of participants.</p>
                    </list-item>
                    <list-item>
                        <p>Figure 1 should be excluded because the explanation for this figure is written in the text.</p>
                    </list-item>
                    <list-item>
                        <p>I am uncertain about the comprehensibility of figure 2. Which groups were the significance observed between?</p>
                    </list-item>
                    <list-item>
                        <p>Some statistical data are not shown in the table but in the text. I think this causes confusion and is more difficult to understand and analyze, so it would be good to show the analysis of statistics that are not given in a table. For example these parts; 
                            <list list-type="bullet">
                                <list-item>
                                    <p>&#x201c;Only gender was a predictor of body image (&#x03b2;=-0.342_0.129, 95%CI: -0.597 to -0.087) in university students during hybrid education (p=0.010). &#x201c;</p>
                                </list-item>
                                <list-item>
                                    <p>&#x201c;Although most of the participants answered that they never vomit after eating (80%,144/180) or feel like vomiting afterwards (72.2%, 130/180) &#x2026;&#x2026;&#x2026;&#x2026;. perceived them as too thin. We found no association between body image and eating disorders (p=0.662).&#x201d;</p>
                                </list-item>
                                <list-item>
                                    <p>We found no association between body image and eating disorders (p=0.661).</p>
                                </list-item>
                            </list> </p>
                    </list-item>
                    <list-item>
                        <p>In addition to this, there is no need to show number of participants, enough percent. Clarify like this (80%,144/180) &#x00e0; (%80)</p>
                    </list-item>
                    <list-item>
                        <p>You mentioned that it was the first study, but there are a lot of studies that were done in the covid period or in the post covid period. If you think that only peruda was the first, you should research it thoroughly and make it clear. Otherwise, you need to remove this statement.</p>
                    </list-item>
                    <list-item>
                        <p>At the same time, it would be better for flow to give the strengths of the study with limitations at the end of the text.</p>
                    </list-item>
                    <list-item>
                        <p>I think it will not contribute to the literature in this form. I don't think the way the discussion is written is clear and adequate. These significant relationships could be explained in more detail and causally.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>No</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>No</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Eating disorders, gastro&#x0131;ntestinal system diseases</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
</article>
