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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Sports Act. Living</journal-id>
<journal-title>Frontiers in Sports and Active Living</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Sports Act. Living</abbrev-journal-title>
<issn pub-type="epub">2624-9367</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fspor.2025.1499828</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Sports and Active Living</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Changes in the lifestyle behavior and anthropometrics of university students after the first year: a one-year prospective observational study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Guti&#x00E9;rrez-Espinoza</surname><given-names>H&#x00E9;ctor</given-names></name>
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<contrib contrib-type="author"><name><surname>Cassola-Cajiao</surname><given-names>Mar&#x00ED;a</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Garz&#x00F3;n-Ulloa</surname><given-names>Emilia</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author"><name><surname>Celi-Lalama</surname><given-names>Daniela</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Araya-Quintanilla</surname><given-names>Felipe</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Valenzuela-Fuenzalida</surname><given-names>Juan</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2950527/overview" />
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<contrib contrib-type="author" corresp="yes"><name><surname>L&#x00F3;pez-Gil</surname><given-names>Jos&#x00E9; Francisco</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1181230/overview" />
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<aff id="aff1"><label><sup>1</sup></label><institution>Faculty of Education, Universidad Aut&#x00F3;noma de Chile</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Escuela de Fisioterapia, Universidad de las Americas</institution>, <addr-line>Quito</addr-line>, <country>Ecuador</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>School of Physiotherapy, Faculty of Medical, Health and Life Sciences, International University of Ecuador, UIDE</institution>, <addr-line>Quito</addr-line>, <country>Ecuador</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Escuela de Kinesiolog&#x00ED;a, Facultad de Odontolog&#x00ED;a y Ciencias de la Rehabilitaci&#x00F3;n, Universidad San Sebasti&#x00E1;n</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Departamento de Morfolog&#x00ED;a, Facultad de Medicina, Universidad Andr&#x00E9;s Bello</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country></aff>
<aff id="aff6"><label><sup>6</sup></label><institution>School of Medicine, Universidad Esp&#x00ED;ritu Santo</institution>, <addr-line>Samborond&#x00F3;n</addr-line>, <country>Ecuador</country></aff>
<aff id="aff7"><label><sup>7</sup></label><institution>Vicerrector&#x00ED;a de Investigaci&#x00F3;n y Postgrado, Universidad de Los Lagos</institution>, <addr-line>Osorno</addr-line>, <country>Chile</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> David Broom, Coventry University, United Kingdom</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Ferdinand Salonna, University of Pavol Jozef &#x0160;af&#x00E1;rik, Slovakia</p>
<p>Katharina Christina Wirnitzer, Pedagogical University Tyrol, Austria</p>
<p>Andy Smith, Independent Researcher, London, United Kingdom</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jos&#x00E9; Francisco L&#x00F3;pez-Gil <email>josefranciscolopezgil@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>20</day><month>05</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>7</volume><elocation-id>1499828</elocation-id>
<history>
<date date-type="received"><day>21</day><month>09</month><year>2024</year></date>
<date date-type="accepted"><day>06</day><month>05</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Guti&#x00E9;rrez-Espinoza, Cassola-Cajiao, Garz&#x00F3;n-Ulloa, Celi-Lalama, Araya-Quintanilla, Valenzuela-Fuenzalida and L&#x00F3;pez-Gil.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Guti&#x00E9;rrez-Espinoza, Cassola-Cajiao, Garz&#x00F3;n-Ulloa, Celi-Lalama, Araya-Quintanilla, Valenzuela-Fuenzalida and L&#x00F3;pez-Gil</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://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.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>The first year of university has been identified as a period of adoption of unhealthy lifestyle behaviors. However, only a few studies have addressed the extent of this phenomenon in Latin American universities. The aim of this study was to examine changes in physiotherapy students&#x0027; lifestyle behaviors after one year at university.</p>
</sec><sec><title>Methods</title>
<p>A total of 100 students of <italic>Universidad de Las Americas</italic> in Quito, Ecuador, were prospectively recruited. In all patients&#x0027; sociodemographic variables, anthropometric indices, adherence to 24-hour movement guidelines (i.e., physical activity, sedentary behavior, and sleep), diet, and alcohol consumption were assessed. Measurements were performed at the start of the first academic semester and after one year at university.</p>
</sec><sec><title>Results</title>
<p>The total of sample, 60 students were female (60&#x0025;), 40 were male (40&#x0025;), and the mean age was 21.2 years old. At one-year follow-up, the mean difference (MD) for weight was &#x002B;5.8&#x2005;kg [95&#x0025; confidence interval (CI): 2.9 to 8.5; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001] and for body mass index was &#x002B;3.3&#x2005;kg/m<sup>2</sup> (95&#x0025; CI: 1.1 to 5.2; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001). Additionally, number of students with high levels of physical activity according to the Global Physical Activity Questionnaire (GPAQ) decreased from 42 to 28 (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), the MD for total metabolic equivalents (METs) per week was &#x2212;1.0 (95&#x0025; CI &#x2212;0.8 to &#x2212;2.0; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001), and decreased from 10 to 6 students (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.042) who met the overall 24-hour movement guidelines. Finally, there was an increase from 70 to 79 students (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.041) who showed significant sleep disturbances, from 70 to 80 students (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.035) who needed changes in diet quality, and from 20 to 30 students (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.035) who showed harmful alcohol consumption.</p>
</sec><sec><title>Conclusions</title>
<p>At the end of the first year of university, most students showed unhealthy lifestyle behaviors characterized by an increase in weight and body mass index, a decrease in the level of physical activity, low adherence to 24-hour movement guidelines, more sleep disturbance, poor diet quality, and harmful alcohol consumption. This indicates a need to address this problem during this critical period for developing interventions to improve lifestyle behaviors and prevent the occurrence of non-communicable chronic diseases.</p>
</sec>
</abstract>
<kwd-group>
<kwd>lifestyle behavior</kwd>
<kwd>anthropometry</kwd>
<kwd>sleep quality</kwd>
<kwd>24-hour movement guidelines</kwd>
<kwd>university students</kwd>
<kwd>observational study</kwd>
</kwd-group><contract-num rid="cn001">FIS.HGE.23.01</contract-num><contract-sponsor id="cn001">Universidad de Las Americas of Ecuador</contract-sponsor><counts>
<fig-count count="5"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="45"/><page-count count="10"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Physical Activity in the Prevention and Management of Disease</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>University presents a time of transition for young adults that involves behavior adaptation in a new environment, with new relationships and changing support systems (<xref ref-type="bibr" rid="B1">1</xref>). University students are in a period of transition to adulthood marked by important lifestyle changes (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Indeed, when analyzing patterns of lifestyle change over the lifespan, a critical time for negative lifestyle behaviors appears to be in later adolescence and early adulthood (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). In this sense, the first year of university is a critical period because it is associated with the adoption of unhealthy lifestyle behaviors, where students experience changes in eating behaviors, physical activity, sleep patterns, and alcohol consumption (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Consequently, several meta-analyses have reported that the first year of university is accompanied by important changes in lifestyle behavior characterized by an increase in weight and percentage of body fat, changes in diet quality or eating behaviors, and decreased levels of physical activity (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). The main behaviors associated with weight gain were the consumption of sugary drinks, alcohol consumption, low consumption of vegetables and fruits, frequent self-consumption, eating unhealthy and low levels of food regulation (<xref ref-type="bibr" rid="B13">13</xref>). Moreover, a global survey of 23 countries with different income levels showed that 21.9&#x0025; to 80.6&#x0025; of university students are physically inactive (<xref ref-type="bibr" rid="B14">14</xref>). On the other hand, the transition to university life often leads students to modify their dietary habits, sleep patterns, and alcohol consumption due to increased autonomy, academic pressures, and new social environments (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>According to the World Health Organization (WHO), a healthy lifestyle involves regular physical exercise, abstention from smoking, avoiding alcohol consumption, and eating healthy foods to prevent excess body weight gain (<xref ref-type="bibr" rid="B16">16</xref>). Currently, evidence supports that aspects of movement behavior such as levels of physical activity, sedentary time, and duration of sleep are interconnected as they occur throughout the 24-hour day, and thus, they should be assessed collectively (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). In line with this, in a previous cross-sectional study, we reported that upon admission to university, overall adherence to the 24-hour movement guidelines is low, and a high percentage of physiotherapy students reported unhealthy lifestyle behaviors in Ecuador (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Several studies have analyzed changes in lifestyle behaviors at one or more years of follow-up in university students (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). However, only one published study has been performed in Latin American university students (<xref ref-type="bibr" rid="B9">9</xref>). Given the scarcity of published data about the behavior of these variables in this population. Thus, the aim of this study was to examine changes in lifestyle behavior, such as physical activity, sleep quality and duration, adherence to 24-hour movement guidelines, diet, and alcohol consumption in physiotherapy students after one year in the <italic>Universidad de Las Americas</italic> in Quito, Ecuador.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1</label><title>Design/ethics</title>
<p>This prospective observational study was conducted following the Strengthening the Re&#x00AD;porting of Observational studies in Epidemiology (STROBE) guidelines (<xref ref-type="bibr" rid="B23">23</xref>). The study was approved by the Ethics Committee for Research on Human Beings of <italic>Universidad de Las Americas</italic> (Ecuador) (ID: 2022-OBS-008) and received funding from Universidad de Las Americas with sponsor code FIS.HGE.23.01. In the second semester of 2022 and the first semester of 2023, all students entering the physiotherapy school were prospectively recruited (116 students). All participants signed an informed consent form approved by the ethics committee.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Participants</title>
<p>We included all students from 18 years old who entered physiotherapy school at the <italic>Universidad de Las Americas</italic> in the city of Quito, Ecuador, during two academic semesters and who were current students of the program at one-year follow-up. Conversely, students were excluded if they had the following conditions: (i) any uncontrolled comorbidities, such as hypertension, diabetes mellitus, or hypercholesterolemia; or (ii) physical impairments associated with neurological diseases or mental illness.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Outcomes measures</title>
<p>Two evaluators from the scientific staff assessed the variables at the start of the first academic semester and after one year at university. Before the study began, these evaluators with postgraduate qualifications in Kinanthropometry received two weeks of training to standardize the measurements. Both assessed the same proportion of participants.</p>
<sec id="s2c1"><label>2.3.1</label><title>Sociodemographic and comorbidity variables</title>
<p>Age, sex, socioeconomic status (high, middle, or low), and work occupation parallel to study; middle-time (10 to 22&#x2005;hours per week), part-time (less than 10&#x2005;hours per week), or not working were assessed for each participant. Comorbidity data, including hypertension (defined as a systolic blood pressure &#x2265;140&#x2005;mmHg, diastolic blood pressure 90&#x2005;mmHg, or receiving treatment with an antihypertensive agent), diabetes mellitus (defined as a fasting plasma glucose&#x2009;&#x2265;&#x2009;126&#x2005;mg/dl, Glycated Hemoglobin A1c&#x2009;&#x003E;&#x2009;6.5&#x0025;, or treatment with a hypoglycemic agent or insulin) and hypercholesterolemia (defined as levels of low-density lipoprotein cholesterol &#x003E;130&#x2005;mg/dl), were also assessed.</p>
</sec>
<sec id="s2c2"><label>2.3.2</label><title>Anthropometric variables</title>
<p>Participants had their waist circumference measured in a bipedal position using a non-elastic tape placed midway between the costal margins and the iliac crest in the horizontal plane. Height was measured barefoot using a Seca 213 stadiometer, ensuring the sagittal midline touched the backboard. Body weight, measured with a Tanita HD-351, was taken with participants barefoot and in light clothing. These measurement procedures align with the recommendations of the International Society for the Advancement of Kinanthropometry. Finally, body mass index (BMI) was computed as the weight in kilograms divided by the square of height in meters, and the BMI values were used to determine nutritional status following the WHO standards (<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
<sec id="s2c3"><label>2.3.3</label><title>Physical activity</title>
<p>The Global Physical Activity Questionnaire (GPAQ) was used to assess the level of physical activity (<xref ref-type="bibr" rid="B20">20</xref>). The GPAQ is a validated 16-item scale that measures moderate- and vigorous-intensity physical activity in three separate domains such as work, recreation, and active transportation domains during a typical week (<xref ref-type="bibr" rid="B25">25</xref>). The GPAQ has been established as a valid and reliable instrument to measure physical activity among university students (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="s2c4"><label>2.3.4</label><title>Sleep quality and duration</title>
<p>The assessment of sleep quality and duration utilized the Pittsburgh Sleep Quality Index (PSQI) questionnaire (<xref ref-type="bibr" rid="B27">27</xref>). This self-rated questionnaire consists of 19 items and evaluates sleep quality over a one-month period. The total score, ranging from 0 to 21, indicates sleep quality, with higher scores suggesting poorer sleep quality. A total score exceeding five points indicates significant sleep disturbance (<xref ref-type="bibr" rid="B27">27</xref>). The Spanish version of the PSQI is recognized as a valid and reliable instrument for measuring sleep quality (<xref ref-type="bibr" rid="B28">28</xref>).</p>
</sec>
<sec id="s2c5"><label>2.3.5</label><title>Adherence to 24-hour movement guidelines</title>
<p>To assess adherence to the Canadian 24-hour movement guidelines for adults, participants must meet the following conditions: (a) engage in at least 150&#x2005;min per week of moderate-to-vigorous physical activity, incorporating muscle-strengthening activities at least twice a week; (b) limit sedentary time to no more than eight hours daily and recreational screen time to no more than three hours daily; and (c) maintain a nightly sleep duration of seven to nine hours (<xref ref-type="bibr" rid="B17">17</xref>). Based on data obtained from personal assessments and two self-report questionnaires (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B27">27</xref>), participants meeting all three criteria were categorized as compliant with the guidelines (<xref ref-type="bibr" rid="B17">17</xref>).</p>
</sec>
<sec id="s2c6"><label>2.3.6</label><title>Diet</title>
<p>Diet quality was assessed with the Spanish version of the Healthy Eating Index (HEI) (<xref ref-type="bibr" rid="B29">29</xref>). Participants&#x0027; diets were classified according to the total score and divided into three categories: &#x003E;80 points, &#x201C;<italic>healthy</italic>&#x201D;; 50&#x2013;80 points, &#x201C;<italic>needs changes</italic>&#x201D;; and &#x003C;50 points, &#x201C;<italic>unhealthy</italic>&#x201D;. This is a valid and reliable instrument for measuring dietary quality (<xref ref-type="bibr" rid="B30">30</xref>).</p>
</sec>
<sec id="s2c7"><label>2.3.7</label><title>Alcohol consumption</title>
<p>Alcohol consumption was assessed with the Alcohol Use Disorders Identification Test (AUDIT) (<xref ref-type="bibr" rid="B31">31</xref>). This questionnaire is specifically designed to assess hazardous alcohol consumption. Scores on the AUDIT range from 0 to 40, with higher scores indicative of an elevated risk of problematic alcohol consumption (<xref ref-type="bibr" rid="B31">31</xref>). A total score exceeding eight points is considered a cutoff point indicating harmful alcohol consumption (<xref ref-type="bibr" rid="B32">32</xref>). The Ecuadorian adaptation of the Spanish version of the AUDIT has demonstrated good internal consistency and reliability (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</sec>
</sec>
<sec id="s2d"><label>2.4</label><title>Statistical analysis</title>
<p>Descriptive statistics were used to characterize the sociodemographic, anthropometric, and lifestyle variables of the participants. Continuous variables are presented as the mean and standard deviation (SD), and categorical variables are presented as the number and percentage. To determine the statistical tests for use in data analysis, we used Shapiro&#x2013;Wilk statistical test. For continuous variables, a paired <italic>t</italic>-test was used to determine the differences between the data at baseline and one-year follow-up, and the McNemar test was used for categorical variables. Statistical significance was established at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Statistical analysis was performed using Stata 16.0 (Stata, College Station, TX, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p>Of the 120 students considered for eligibility, 2 students were excluded due to uncontrolled diabetes mellitus, and 2 declined participation. Finally, 116 students were initially recruited; however, 16 dropped out during their first year of University. Therefore, 100 students were included in this study (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Characteristics, sociodemographics, and anthropometrics of the students included are shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. Of these 100 university students included; 60 were female (60&#x0025;), 40 were male (40), and the mean age was 21.2 years old (SD&#x2009;&#x003D;&#x2009;1). A total of 70 students (70&#x0025;) reported middle socioeconomic status, and 80 (80&#x0025;) were not working. Additionally, 80 students (80&#x0025;) did not present any diagnosed comorbidity (hypertension, diabetes mellitus or hypercholesterolemia). According to stratified BMI, 40 students (40&#x0025;) had normal weight, 40 (40&#x0025;) were overweight, and 19 (19&#x0025;) had obesity.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flow chart diagram of participants in the study.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1499828-g001.tif"/>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Sociodemographic data, medical conditions, and anthropometric of the study sample.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Total (<italic>N</italic>&#x2009;&#x003D;&#x2009;100)</th>
<th valign="top" align="center">Males (<italic>n</italic>&#x2009;&#x003D;&#x2009;40)</th>
<th valign="top" align="center">Females (<italic>n</italic>&#x2009;&#x003D;&#x2009;60)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4">Sociodemographic information</td>
</tr>
<tr>
<td valign="top" align="left">Age (y), mean (SD)</td>
<td valign="top" align="center">21.2 (1.0)</td>
<td valign="top" align="center">23.2 (0.8)</td>
<td valign="top" align="center">19.2 (1.2)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Socioeconomic status, number (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>High</p></list-item>
</list></td>
<td valign="top" align="center">30.0 (30.0)</td>
<td valign="top" align="center">12.0 (12.0)</td>
<td valign="top" align="center">18.0 (18.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>Middle</p></list-item>
</list></td>
<td valign="top" align="center">70.0 (70.0)</td>
<td valign="top" align="center">28.0 (28.0)</td>
<td valign="top" align="center">42.0 (42.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>Low</p></list-item>
</list></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Work occupation, number (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Middle time</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Part time</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">20.0 (20.0)</td>
<td valign="top" align="center">12.0 (12.0)</td>
<td valign="top" align="center">8.0 (8.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Not working</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">80.0 (80.0)</td>
<td valign="top" align="center">28.0 (28.0)</td>
<td valign="top" align="center">52.0 (52.0)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Comorbidities (hypertension, diabetes mellitus, hypercholesterolemia), number (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>None</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">80.0 (80.0)</td>
<td valign="top" align="center">38.0 (38.0)</td>
<td valign="top" align="center">42.0 (42.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Only one</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">19.0 (19.0)</td>
<td valign="top" align="center">1.0 (1.0)</td>
<td valign="top" align="center">18.0 (18.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Two</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">1.0 (1.0)</td>
<td valign="top" align="center">1.0 (1.0)</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>All three</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Anthropometric information</td>
</tr>
<tr>
<td valign="top" align="left">Weight (kg), mean (SD)</td>
<td valign="top" align="center">61.7 (10.9)</td>
<td valign="top" align="center">69.7 (11.3)</td>
<td valign="top" align="center">53.7 (10.5)</td>
</tr>
<tr>
<td valign="top" align="left">Height (cm), mean (SD)</td>
<td valign="top" align="center">163.0 (0.5)</td>
<td valign="top" align="center">167.0 (0.5)</td>
<td valign="top" align="center">159.0 (0.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Stratified BMI, number (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Underweight (&#x003C;18.5)</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">1.0 (1.0)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.0 (1.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Normal (18.5&#x2013;24.9)</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">40.0 (40.0)</td>
<td valign="top" align="center">13.0 (13.0)</td>
<td valign="top" align="center">27.0 (27.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Overweight (25&#x2013;29.9)</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">40.0 (40.0)</td>
<td valign="top" align="center">20.0 (20.0)</td>
<td valign="top" align="center">20.0 (20.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Obesity (30&#x2013;39.9)</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">19.0 (19.0)</td>
<td valign="top" align="center">7.0 (7.0)</td>
<td valign="top" align="center">12.0 (12.0)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p><sans-serif>Extreme Obesity (&#x003E;40)</sans-serif></p></list-item>
</list></td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>BMI, body mass index; SD, standard deviation.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Additionally, changes in the continuous anthropometrics and lifestyle variables between the baseline and one-year follow-up are shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. The mean difference (MD) for weight was &#x002B;5.8&#x2005;kg [95&#x0025; confidence interval (CI): 2.9 to 8.5; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001] and for BMI was &#x002B;3.3&#x2005;kg/m<sup>2</sup> (95&#x0025; CI: 1.1 to 5.2; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001). The MDs for PSQI and AUDIT questionnaires increased by 1.0 point each (both <italic>p</italic>-values were less than 0.05).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Changes in the continuous anthropometrics and lifestyle variables at 1-year follow-up.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Outcomes measures</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">At 1-year follow-up</th>
<th valign="top" align="center">Mean difference (95&#x0025; CI)</th>
<th valign="top" align="center"><italic>p</italic>-value<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref> for normal distribution</th>
<th valign="top" align="center"><italic>p</italic>-value<xref ref-type="table-fn" rid="table-fn4">&#x002A;&#x002A;</xref></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Weight (kg), mean (SD)</td>
<td valign="top" align="center">61.7 (10.9)</td>
<td valign="top" align="center">67.5 (8.1)</td>
<td valign="top" align="center">5.8 (2.9 to 8.5)</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003D;&#x2009;0.73</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003C;</bold>&#x2009;<bold>0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>), mean (SD)</td>
<td valign="top" align="center">23.9 (3.5)</td>
<td valign="top" align="center">27.2 (3.1)</td>
<td valign="top" align="center">3.3 (1.1 to 5.2)</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003D;&#x2009;0.67</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">Total METs (week), mean (SD)</td>
<td valign="top" align="center">4.2 (2.6)</td>
<td valign="top" align="center">3.2 (1.9)</td>
<td valign="top" align="center">&#x2212;1.0 (&#x2212;0.8 to &#x2212;2)</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003D;&#x2009;0.53</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.024</bold></td>
</tr>
<tr>
<td valign="top" align="left">Total PSQI (points), mean (SD)</td>
<td valign="top" align="center">7.2 (1.8)</td>
<td valign="top" align="center">8.2 (1.2)</td>
<td valign="top" align="center">1.0 (0.5 to 1.6)</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003D;&#x2009;0.55</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.036</bold></td>
</tr>
<tr>
<td valign="top" align="left">Total AUDIT (points), mean (SD)</td>
<td valign="top" align="center">5.4 (3.2)</td>
<td valign="top" align="center">6.4 (2.4)</td>
<td valign="top" align="center">1.0 (0.6 to 1.7)</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003D;&#x2009;0.35</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.029</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>AUDIT, alcohol use disorders identification test; BMI, body mass index; CI, confidence interval; METs, metabolic equivalents; PSQI, pittsburgh sleep quality index; SD, standard deviation.</p></fn>
<fn id="table-fn3"><label>&#x002A;</label>
<p><italic>p</italic>-value were obtained with Shapiro&#x2013;Wilk test.</p></fn>
<fn id="table-fn4"><label>&#x002A;&#x002A;</label>
<p>Differences between baseline and 1-year follow-up were obtained with paired <italic>t</italic>-test. Bold indicates a <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Changes in categorical anthropometric and lifestyle variables between the baseline and one-year follow-up are shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>. <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref> shows the number of students with high levels of physical activity according to GPAQ, the <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref> shows the number of students experiencing significant sleep disturbances (PSQI&#x2009;&#x003E;&#x2009;5 points), the <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref> shows the number of students with harmful alcohol use (AUDIT&#x2009;&#x003E;&#x2009;8 points). Finally, the <xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref> shows the number of students that meeting all recommendations of adherence to the overall 24-hour movement guidelines.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Changes in the categorical anthropometrics and lifestyle variables at 1-year follow-up.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Outcomes measures</th>
<th valign="top" align="center">Baseline</th>
<th valign="top" align="center">At 1-year follow-up</th>
<th valign="top" align="center"><italic>p</italic>-value&#x002A;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4">GPAQ activity levels, number (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>High</p></list-item>
</list></td>
<td valign="top" align="center">42.0 (42.0)</td>
<td valign="top" align="center">28.0 (28.0)</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003C;</bold>&#x2009;<bold>0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>Moderate</p></list-item>
</list></td>
<td valign="top" align="center">32.0 (32.0)</td>
<td valign="top" align="center">30.0 (30.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>Low</p></list-item>
</list></td>
<td valign="top" align="center">26.0 (26.0)</td>
<td valign="top" align="center">42.0 (42.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Students with PSQI&#x2009;&#x003E;&#x2009;5 points, number (&#x0025;)</td>
<td valign="top" align="center">70.0 (70.0)</td>
<td valign="top" align="center">79.0 (79.0)</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.041</bold></td>
</tr>
<tr>
<td valign="top" align="left">PA recommendations meeting, number (&#x0025;)</td>
<td valign="top" align="center">12.0 (12.0)</td>
<td valign="top" align="center">8.0 (8.0)</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003D;&#x2009;0.067</td>
</tr>
<tr>
<td valign="top" align="left">Sedentary behavior meeting, number (&#x0025;)</td>
<td valign="top" align="center">13.0 (13.0)</td>
<td valign="top" align="center">10.0 (10.0)</td>
<td valign="top" align="center"><italic>p</italic>&#x2009;&#x003D;&#x2009;0.072</td>
</tr>
<tr>
<td valign="top" align="left">Sleep duration meeting, number (&#x0025;)</td>
<td valign="top" align="center">16.0 (16.0)</td>
<td valign="top" align="center">12.0 (12.0)</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.045</bold></td>
</tr>
<tr>
<td valign="top" align="left">All three 24-hour movement guidelines meeting, number (&#x0025;)</td>
<td valign="top" align="center">10.0 (10.0)</td>
<td valign="top" align="center">6.0 (6.0)</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.042</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Categories according to HEI, number (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>Healthy</p></list-item>
</list></td>
<td valign="top" align="center">20.0 (20.0)</td>
<td valign="top" align="center">6.0 (6.0)</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003C;</bold>&#x2009;<bold>0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>Need change</p></list-item>
</list></td>
<td valign="top" align="center">70.0 (70.0)</td>
<td valign="top" align="center">80.0 (80.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<list list-type="simple">
<list-item><label>&#x2013;</label>
<p>Unhealthy</p></list-item>
</list></td>
<td valign="top" align="center">10.0 (10.0)</td>
<td valign="top" align="center">14.0 (14.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Students with AUDIT&#x2009;&#x003E;&#x2009;8 points, number (&#x0025;)</td>
<td valign="top" align="center">20.0 (20.0)</td>
<td valign="top" align="center">30.0 (30.0)</td>
<td valign="top" align="center"><bold><italic>p</italic></bold>&#x2009;<bold>&#x003D;</bold>&#x2009;<bold>0.035</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>AUDIT, alcohol use disorders identification test; GPAQ, global physical activity questionnaire; HEI, healthy eating index; PA, physical activity; PSQI, pittsburgh sleep quality index.</p></fn>
<fn id="table-fn6"><label><bold>&#x002A;</bold></label>
<p>Differences between baseline and 1-year follow-up were obtained with McNemar test; Bold indicates a <italic>p</italic>-value&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Changes in the number of students with high levels of physical activity according to GPAQ. &#x002A;Statistically significant difference (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1499828-g002.tif"/>
</fig>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Changes in the number of students with significant sleep disturbances according to PSQI. &#x002A;Statistically significant difference (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.041).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1499828-g003.tif"/>
</fig>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Changes in the number of students number of students with harmful alcohol use according to AUDIT. &#x002A;Statistically significant difference (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.035).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1499828-g004.tif"/>
</fig>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Changes in the number of students that meeting all recommendations of adherence to the overall 24-hour movement guidelines. &#x002A;Statistically significant difference (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.042).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fspor-07-1499828-g005.tif"/>
</fig>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>This observational study aimed to examine changes in lifestyle behavior in physiotherapy students after one year at the <italic>Universidad de Las Americas</italic> in Quito, Ecuador. The main findings of our study were, at the end of the first year of university, most students transitioned to unhealthy lifestyle behaviors characterized by an increase in weight and BMI, a decrease in the level of physical activity, low adherence to 24-hour movement guidelines, more sleep disturbance, a poor diet quality, and harmful alcohol consumption.</p>
<p>Our findings confirm the observations that the trend of unhealthy lifestyles and poor dietary habits is increasing at the end of the first year of university (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Although, most of these studies were not conducted in health students. This could be a factor that modifies the results due to these students&#x0027; having greater knowledge of lifestyle behaviors (<xref ref-type="bibr" rid="B34">34</xref>). Despite, this trend can be attributed to numerous factors, including peer pressure, being away from home for a considerable number of hours, the pressure of studying, accessibility of fast foods, and the limited choices of healthy foods on university campuses, in addition to the influence of social media (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Accordingly, universities should implement prevention and promotion strategies that modify university settings to improve healthy lifestyle behaviors among their students (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Regarding weight gain, two meta-analyses reported that university students gain an average of 1.75&#x2005;kg and 1.55&#x2005;kg during their first year, respectively (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Likewise, another meta-analysis reported that first-year university students, on average, gained 1.36&#x2005;kg over a period of six weeks to eight months. Indeed, 60.9&#x0025; of students gained weight, and within those, the average weight gained was 3.38&#x2005;kg (<xref ref-type="bibr" rid="B8">8</xref>). It is important to highlight that these meta-analyses do not include studies conducted in Latin America. Our findings agree with a study conducted in Faculty of Health students of one private University of Chile, which reported that students gain an average of 5.9&#x2005;kg at the end of their first year of university (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>There is consensus that a critical time for the increase in the prevalence of overweight/obesity appears to be in later adolescence and early adulthood (<xref ref-type="bibr" rid="B36">36</xref>). During this period, there is a significant decrease in the level of physical activity (<xref ref-type="bibr" rid="B37">37</xref>). According with our findings, another study showed a decrease of 147.9 total METs at one year of follow-up from the upon admission to university (<xref ref-type="bibr" rid="B9">9</xref>). Given the low levels of physical activity and unhealthy eating, it is not surprising that the prevalence of overweight/obesity has reached epidemic proportions in young adults in the last decade (<xref ref-type="bibr" rid="B38">38</xref>). At the end of the follow-up, the students significantly increased the proportion of overweight/obesity and decreased levels of physical activity. According to our findings, a systematic review reported that insufficient activity is a serious health concern among university students (<xref ref-type="bibr" rid="B39">39</xref>). Despite this, there are no studies that have analyzed whether the levels of physical inactivity in students belonging to health careers are similar to those in other careers or faculties. We think that our results could be influenced because our cohort were physiotherapy students, however, similar studies are lacking to compare our findings.</p>
<p>Adequate sleep quality and duration have a critical role in optimal physical health, immune function, mental health, and cognition (<xref ref-type="bibr" rid="B40">40</xref>). Unfortunately, attending university is often associated with insufficient sleep (<xref ref-type="bibr" rid="B41">41</xref>). After one year of university, 79 students (79&#x0025;) of our sample had significant sleep disturbance. Usually, factors such as reduced parental support, increased stress from academic loads, and unhealthy lifestyle behaviors result in sleep disorders in this population (<xref ref-type="bibr" rid="B42">42</xref>). There are also no studies that have compared sleep quality between students from health faculties and students from other faculties. We could hypothesize that faculties of health students having a better awareness of sleep health and therefore having better sleep habits, which could improve their sleep quality in some degree. However, further research are needed to close this knowledge gap.</p>
<p>Currently, no published studies have evaluated changes in adherence to the overall 24-hour movement guidelines among Latin American university students. Despite this, one study conducted in eight Latin American countries reported that the proportion of adults (aged 18 to 64 years old) who met all three of the 24-hour movement guidelines was low (1.6&#x0025;) (<xref ref-type="bibr" rid="B43">43</xref>). Interestingly, this study showed that sociodemographic factors such as being a woman and having a middle or high education level were associated with a lower probability of meeting all three guidelines (<xref ref-type="bibr" rid="B43">43</xref>). Consistent with these findings, our study reports that only six students (6&#x0025;) met the overall 24-hour movement guidelines. Unfortunately, the lack of similar published studies of Latin American university students prevents us from comparing our findings within this geographical location.</p>
<p>University is often associated with students having more autonomy over their dietary choices. Specifically, factors such as cost, skipping meals, inadequate variety of foods, snacking, and frequent consumption of fast foods increase students&#x0027; risk of poor health (<xref ref-type="bibr" rid="B38">38</xref>). Previous studies have shown that students&#x0027; diets are characterized by low consumption of fresh fruits and vegetables, monounsaturated fatty acids, polyunsaturated fatty acids, and fish, coupled with increased intake of sugar, alcohol, and fast food (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Consistent with these findings, our study revealed that 80 students (80&#x0025;) in the sample exhibited a need for improvements in diet quality and reported engaging in unhealthy eating habits.</p>
<p>In our study, we report a total of 30 students (30&#x0025;) with harmful alcohol consumption. Consistent with our findings, another study of university students in Ecuador reported that the prevalence of harmful alcohol consumption, above the cutoff score of eight in the AUDIT questionnaire, was high. Almost 50&#x0025; of male students and 25&#x0025; of female students reported harmful alcohol consumption (<xref ref-type="bibr" rid="B33">33</xref>). The rates of harmful alcohol consumption reported in our study are similar to Europe and South America (where rates range between 23&#x0025; and 33&#x0025; for males and 10&#x0025; and 22&#x0025; for females) (<xref ref-type="bibr" rid="B45">45</xref>).</p>
<sec id="s4a"><label>4.1</label><title>Limitations and strengths</title>
<p>This study has several limitations. First, as this was an observational study, it did not include a comparison group of young adults who did not attend university but who may also have significant lifestyle changes. Second, these findings should be interpreted with caution, since this research does not allow establishing causality and we also do not have a half-time or medium-term measurement. Third, self-report questionnaire was used for the assessment physical activity level, which can introduce response bias due to over- or underestimation of actual activity levels. Fourth, our study was performed only on students at a private university physiotherapy school. An important factor to consider is that majority of healthcare students have major knowledge about good lifestyles. This may mean that when carrying out the different surveys their perception could be influenced by their acquired knowledge considering cognitive discordance. Therefore, our findings cannot be generalized to all university students. Conversely, this is the first study in Ecuadorian university students with 1-year follow-up to evaluate adherence to 24-hour movement guidelines, diet, and alcohol consumption.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>At the end of the first year of university, most students showed unhealthy lifestyle behaviors characterized by an increase in weight and BMI, a decrease in the level of physical activity, low adherence to 24-hour movement guidelines, more sleep disturbance, poor diet quality, and harmful alcohol consumption. This indicates a need to address this problem during this critical period for developing interventions to improve lifestyle behaviors and prevent the occurrence of non-communicable chronic diseases. In the university, there is significant scope to implement specific strategies to foster healthier lifestyles in their students. However, more research is needed in Latin American universities.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><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 id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The study was approved by the Ethics Committee for Research on Human Beings of Universidad de Las Americas of Ecuador (ID: 2022-OBS-008). The study was 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 id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>HG-E: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing &#x2013; original draft, Funding acquisition, Writing &#x2013; review &#x0026; editing. MC-C: Data curation, Investigation, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. EG-U: Data curation, Investigation, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. DC-L: Conceptualization, Data curation, Investigation, Project administration, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. FA-Q: Conceptualization, Investigation, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JV-F: Formal analysis, Funding acquisition, Methodology, Software, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JL-G: Conceptualization, Formal analysis, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was funded by the regular research fund of the Universidad de Las Americas of Ecuador (Grant number: FIS.HGE.23.01). The funder was not involved in the research design, data analysis, or drafting of this manuscript.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer"><title>Publisher&#x0027;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>
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