<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    fns
   </journal-id>
   <journal-title-group>
    <journal-title>
     Food and Nutrition Sciences
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2157-944X
   </issn>
   <issn publication-format="print">
    2157-9458
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/fns.2025.168052
   </article-id>
   <article-id pub-id-type="publisher-id">
    fns-144918
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Biomedical 
     </subject>
     <subject>
       Life Sciences
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Obesity in University Settings: Study of Body Mass Index (BMI) and Body Fat Percentage among Students at Gaston Berger University of Saint-Louis in 2025
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Lebem
      </surname>
      <given-names>
       Togtoga
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Malick
      </surname>
      <given-names>
       Anne
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Ndeye Marième
      </surname>
      <given-names>
       Diop
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Peace Ornélia Vignon Grâce
      </surname>
      <given-names>
       Glodjinon
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Bénédicta Ayo Sandra
      </surname>
      <given-names>
       Kocheodo
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Dédé Orélia
      </surname>
      <given-names>
       Alognon
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Ousmane
      </surname>
      <given-names>
       Thiam
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Dominique
      </surname>
      <given-names>
       Doupa
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Public Health and Social Medicine, UFR of Health Sciences, Gaston Berger University of Saint-Louis, Saint-Louis, Senegal
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Maternal and Child Health, UFR of Health Sciences, Gaston Berger University of Saint-Louis, Saint-Louis, Senegal
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aRegional Hospital Center of Saint-Louis, Saint-Louis, Senegal
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aDepartment of Biology and Functional Exploration, UFR of Health Sciences, Gaston Berger University of Saint-Louis, Saint-Louis, Senegal
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     08
    </day> 
    <month>
     08
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    16
   </volume> 
   <issue>
    08
   </issue>
   <fpage>
    904
   </fpage>
   <lpage>
    913
   </lpage>
   <history>
    <date date-type="received">
     <day>
      21,
     </day>
     <month>
      May
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      17,
     </day>
     <month>
      May
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      17,
     </day>
     <month>
      August
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    <b>Objective:</b> Determining the frequency of obesity within the student population is crucial to anticipating the prevention of chronic diseases among future adult populations. This study aimed to assess the prevalence of obesity among university students. 
    <b>Methods:</b> A cross-sectional descriptive study was conducted from February 14 to March 3, 2025, on the social campus of Gaston Berger University of Saint-Louis. Obesity was assessed using two anthropometric approaches: the Quetelet Body Mass Index (BMI) and body fat estimation using the Deurenberg formula. 
    <b>Results:</b> A total of 800 students were included in the study. The population was predominantly male (59.2%) with a mean age of 23.0 ± 2.9 years. Regarding lifestyle habits, 7.4% of participants reported tobacco use, and 3.0% reported alcohol consumption. The prevalence of overweight and obesity was 7.0% and 2.1%, respectively, based on BMI, and 5.2% and 1.0% based on body fat percentage. 
    <b>Conclusion: </b>Obesity appears to be relatively uncommon in this student population, although isolated cases of overweight and obesity are notable. The study also highlighted a non-negligible proportion of underweight individuals. To combat all forms of malnutrition, targeted nutritional education and awareness strategies for students should be strengthened.
   </abstract>
   <kwd-group> 
    <kwd>
     Body Mass Index
    </kwd> 
    <kwd>
      Body Fat
    </kwd> 
    <kwd>
      Obesity
    </kwd> 
    <kwd>
      Students
    </kwd> 
    <kwd>
      Senegal
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Obesity is a major public health issue <xref ref-type="bibr" rid="scirp.144918-1">
     [1]
    </xref>. It is characterized by an excessive amount of body fat and is both statistically and clinically associated with the onset of numerous diseases, particularly cardiovascular diseases <xref ref-type="bibr" rid="scirp.144918-2">
     [2]
    </xref>. Indeed, 80% of type 2 diabetes cases are linked to obesity <xref ref-type="bibr" rid="scirp.144918-3">
     [3]
    </xref>, 5.4% of new cancer cases in adults over 30 in France are attributable to obesity <xref ref-type="bibr" rid="scirp.144918-4">
     [4]
    </xref>, and obesity is a major risk factor for cardiovascular diseases, which account for 38% of premature deaths due to non-communicable diseases <xref ref-type="bibr" rid="scirp.144918-5">
     [5]
    </xref>.</p>
   <p>This condition is generally caused by nutritional imbalance <xref ref-type="bibr" rid="scirp.144918-6">
     [6]
    </xref>. It develops when daily energy intake exceeds daily energy expenditure. Foods high in fat, ultra-processed products, sugary items, fast food, pastries, and sweets are among the most incriminated <xref ref-type="bibr" rid="scirp.144918-7">
     [7]
    </xref>.</p>
   <p>Globally, the obesity prevalence rate is estimated at 12.5% <xref ref-type="bibr" rid="scirp.144918-8">
     [8]
    </xref>. It is now recognized as an epidemic by the World Health Organization (WHO). Both developed and developing countries are affected by this condition. The obesity epidemic also has significant economic consequences. Without appropriate measures, the global costs related to overweight and obesity could reach 3 trillion USD per year by 2030 and exceed 18 trillion by 2060 <xref ref-type="bibr" rid="scirp.144918-9">
     [9]
    </xref>.</p>
   <p>In Africa, the obesity prevalence is estimated at 8% <xref ref-type="bibr" rid="scirp.144918-10">
     [10]
    </xref>. The continent, undergoing an epidemiological transition, is facing the emergence of chronic diseases while still dealing with persistent infectious diseases. Several studies have reported high prevalence rates of obesity. Indeed, Rotich et al. (2023) observed a prevalence rate of 19.6% among university students in Kenya. Additionally, prevalence rates of 36.8% and between 25.3% and 59.4% have been reported in Botswana and Egypt, respectively <xref ref-type="bibr" rid="scirp.144918-11">
     [11]
    </xref>.</p>
   <p>In Senegal, non-communicable diseases account for 51% of adult deaths. According to the 2024 STEPS survey, the obesity prevalence rate in the Senegalese population is 10.1%, up from 6.4% in 2015 <xref ref-type="bibr" rid="scirp.144918-12">
     [12]
    </xref>.</p>
   <p>However, few local studies have explored obesity among university students, despite them representing a key demographic for national development. Upon entering university, students gain autonomy over their diet and tend to adopt eating behaviors that may negatively impact their health. Investigating their nutritional status helps to anticipate health risks in the future adult population and supports the development of targeted prevention policies.</p>
  </sec><sec id="s2">
   <title>2. Study Method</title>
   <sec id="s2_1">
    <title>2.1. Type of Study</title>
    <p>A descriptive cross-sectional study was conducted in February 2025 among residents of Gaston Berger University of Saint-Louis.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Selection Criteria</title>
    <p>Inclusion criteria:</p>
    <p>To be eligible, participants must reside on the social campus of UGB, hold a valid student ID card or a certificate of enrollment for the current academic year, and be present in their room at the time of data collection.</p>
    <p>Exclusion criteria:</p>
    <p>Refusal to participate in the study, being unavailable or unfit (due to illness).</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Sampling</title>
    <p>The sample size was calculated using the Schwartz formula:</p>
    <p>N = (Zα<sup>2</sup> × p × q)/i<sup>2</sup></p>
    <p>with the following parameters:</p>
    <p>Standard normal deviate (Zα) = 1.96 for a 5% margin of error</p>
    <p>Assumed prevalence (p) = 50%</p>
    <p>Precision (i) = 5%</p>
    <p>The minimum sample size obtained was 385 students, rounded to 400. This number was then multiplied by 2 to account for the cluster effect used in the data collection process, bringing the final sample size to 800 students.</p>
    <p>A three-stage sampling plan was implemented:</p>
    <p>First stage: The survey exhaustively covered all student housing sites on campus.</p>
    <p>Second stage: Selection of rooms to be surveyed. The number of rooms per village was determined based on each village’s accommodation capacity and population distribution by sex. A list of random numbers was generated using the “RANDBETWEEN” function in Microsoft Excel to select the rooms.</p>
    <p>If no occupants were present, the investigator returned to the room until the students were available.</p>
    <p>If all occupants of a room refused to participate, the room was replaced by the next available one.</p>
    <p>Third stage: Selection of students. One student was selected per chosen room. If several residents met the inclusion criteria, a random draw was conducted.</p>
    <p>Data Collection Tools</p>
    <p>The questionnaire consisted of two parts: one on socio-demographic information and the other on anthropometric measurements.</p>
    <p>The questionnaire was digitized in XML format using the Open Data Kit (ODK) application and installed on electronic tablets. A trained team of investigators was deployed in the field to collect data. Their role was to explain the study context to participants, obtain informed consent, and administer the questionnaire.</p>
    <p>Electronic weighing scales (SECA 803) were used, with a maximum capacity of 150 kg and a precision of 100 grams.</p>
    <p>Operational Variable 1</p>
    <p>The Body Mass Index (BMI) was categorized using the classification by Dionadji et al., 2016, as follows:</p>
    <p>BMI &lt; 18.5 kg/m<sup>2</sup> = Underweight</p>
    <p>18.5 ≤ BMI &lt; 24.9 = Normal weight</p>
    <p>25 ≤ BMI &lt; 29.9 = Overweight</p>
    <p>BMI ≥ 30 = Obesity <xref ref-type="bibr" rid="scirp.144918-13">
      [13]
     </xref></p>
    <p>Operational Variable 2</p>
    <p>Body fat percentage was estimated using the Deurenberg formula <xref ref-type="bibr" rid="scirp.144918-14">
      [14]
     </xref>:</p>
    <p>Body Fat (%) = (1.20 × BMI) + (0.23 × Age) − (10.8 × Sex) – 5.4</p>
    <p>where, BMI = weight (kg)/height<sup>2</sup> (m<sup>2</sup>), Age = age in years, Sex = 1 for males, 0 for females. The following scale was used to interpret the results.</p>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td acenter" width="30.14%"><p style="text-align:center">Sex</p></td> 
      <td class="custom-bottom-td acenter" width="35.88%"><p style="text-align:center">Body fat (%)</p></td> 
      <td class="custom-bottom-td acenter" width="43.79%"><p style="text-align:center">Interpretation</p></td> 
     </tr> 
     <tr> 
      <td rowspan="4" class="custom-top-td acenter" width="30.14%"><p style="text-align:center">Men</p></td> 
      <td class="custom-top-td acenter" width="35.88%"><p style="text-align:center">&lt;8%</p></td> 
      <td class="custom-top-td acenter" width="43.79%"><p style="text-align:center">Underweight</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="35.88%"><p style="text-align:center">8% - 20%</p></td> 
      <td class="acenter" width="43.79%"><p style="text-align:center">Normal</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="35.88%"><p style="text-align:center">20% - 25%</p></td> 
      <td class="acenter" width="43.79%"><p style="text-align:center">Overweight</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="35.88%"><p style="text-align:center">&gt;25%</p></td> 
      <td class="custom-bottom-td acenter" width="43.79%"><p style="text-align:center">Obesity</p></td> 
     </tr> 
     <tr> 
      <td rowspan="4" class="custom-top-td acenter" width="30.14%"><p style="text-align:center">Women</p></td> 
      <td class="custom-top-td acenter" width="35.88%"><p style="text-align:center">&lt;21%</p></td> 
      <td class="custom-top-td acenter" width="43.79%"><p style="text-align:center">Underweight</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="35.88%"><p style="text-align:center">21% - 33%</p></td> 
      <td class="acenter" width="43.79%"><p style="text-align:center">Normal</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="35.88%"><p style="text-align:center">33% - 39%</p></td> 
      <td class="acenter" width="43.79%"><p style="text-align:center">Overweight</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="35.88%"><p style="text-align:center">&gt;39%</p></td> 
      <td class="acenter" width="43.79%"><p style="text-align:center">Obesity</p></td> 
     </tr> 
    </table>
   </sec>
   <sec id="s2_4">
    <title>2.4. Data Processing and Analysis</title>
    <p>The collected data were exported to an Excel file, then cleaned and analyzed using the R software. Descriptive analysis of the questionnaire variables included identifying outliers along with the median, and calculating means with standard deviations. For qualitative variables, both absolute and relative frequencies were calculated.</p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Ethical Considerations</title>
    <p>Participants were informed about the framework and objectives of the study. They were also made aware that they had the right to refuse participation without facing any risk or consequence. Informed consent was obtained from each participant and formalized through the signing of a consent form.</p>
    <p>The data collected are anonymous and may only be used by members of the research team. No financial incentive was involved in participation in this study.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>Sociodemographic Characteristics</title>
    <p>A total of 800 students were included in this study. The mean age of participants was 23 ± 2.9 years, with extremes ranging from 17 to 45 years. The sex ratio was 1.5 in favor of males. Furthermore, 95.1% of surveyed students were single. Tobacco consumption was reported by 7.4% of participants, while 3.0% reported consuming alcohol. The full set of sociodemographic characteristics is presented in <xref ref-type="table" rid="table1">
      Table 1
     </xref>.</p>
    <p>The analysis of anthropometric parameters showed a mean weight of 61.2 ± 10.8 kg and a mean height of 1.70 ± 0.10 meters. The average BMI was 20.5 ± 3.4 kg/m<sup>2</sup>. These results are detailed in <xref ref-type="table" rid="table2">
      Table 2
     </xref>.</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.144918-"></xref>Table 1. Sociodemographic characteristics of participants.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td aleft" width="28.30%"><p style="text-align:left"></p></td> 
       <td class="custom-bottom-td acenter" width="35.81%"><p style="text-align:center">Absolute frequences (n)</p></td> 
       <td class="custom-bottom-td acenter" width="35.90%"><p style="text-align:center">Relatives frequences (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="3"><p style="text-align:center">Sex</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="28.30%"><p style="text-align:center">Men</p></td> 
       <td class="custom-top-td acenter" width="35.81%"><p style="text-align:center">474</p></td> 
       <td class="custom-top-td acenter" width="35.90%"><p style="text-align:center">59.2</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="28.30%"><p style="text-align:center">Women</p></td> 
       <td class="custom-bottom-td acenter" width="35.81%"><p style="text-align:center">326</p></td> 
       <td class="acenter" width="35.90%"><p style="text-align:center">40.8</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="3"><p style="text-align:center">Marital status</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="28.30%"><p style="text-align:center">Single</p></td> 
       <td class="custom-top-td acenter" width="35.81%"><p style="text-align:center">761</p></td> 
       <td class="custom-top-td acenter" width="35.90%"><p style="text-align:center">95.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="28.30%"><p style="text-align:center">Married</p></td> 
       <td class="acenter" width="35.81%"><p style="text-align:center">38</p></td> 
       <td class="acenter" width="35.90%"><p style="text-align:center">4.8</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="28.30%"><p style="text-align:center">Divorced</p></td> 
       <td class="custom-bottom-td acenter" width="35.81%"><p style="text-align:center">1</p></td> 
       <td class="custom-bottom-td acenter" width="35.90%"><p style="text-align:center">0.1</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="100.00%" colspan="3"><p style="text-align:center">Tobacco use</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="28.30%"><p style="text-align:center">Yes</p></td> 
       <td class="custom-top-td acenter" width="35.81%"><p style="text-align:center">59</p></td> 
       <td class="custom-top-td acenter" width="35.90%"><p style="text-align:center">7.4</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="28.30%"><p style="text-align:center">No</p></td> 
       <td class="custom-bottom-td acenter" width="35.81%"><p style="text-align:center">741</p></td> 
       <td class="custom-bottom-td acenter" width="35.90%"><p style="text-align:center">92.6</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="100.00%" colspan="3"><p style="text-align:center">Alcohol use</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="28.30%"><p style="text-align:center">Yes</p></td> 
       <td class="custom-top-td acenter" width="35.81%"><p style="text-align:center">24</p></td> 
       <td class="custom-top-td acenter" width="35.90%"><p style="text-align:center">3.0</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="28.30%"><p style="text-align:center">No</p></td> 
       <td class="acenter" width="35.81%"><p style="text-align:center">776</p></td> 
       <td class="acenter" width="35.90%"><p style="text-align:center">97.0</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.144918-"></xref>Table 2. Anthropometric parameters of participants.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="24.24%"><p style="text-align:center"></p></td> 
       <td class="custom-bottom-td acenter" width="16.65%"><p style="text-align:center">Mean</p></td> 
       <td class="custom-bottom-td acenter" width="19.39%"><p style="text-align:center">SD</p></td> 
       <td class="custom-bottom-td acenter" width="19.40%"><p style="text-align:center">Minimum</p></td> 
       <td class="custom-bottom-td acenter" width="15.37%"><p style="text-align:center">Median</p></td> 
       <td class="custom-bottom-td acenter" width="25.65%"><p style="text-align:center">Maximum</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="24.24%"><p style="text-align:center">Age (years)</p></td> 
       <td class="custom-top-td acenter" width="16.65%"><p style="text-align:center">23</p></td> 
       <td class="custom-top-td acenter" width="19.39%"><p style="text-align:center">2.9</p></td> 
       <td class="custom-top-td acenter" width="19.40%"><p style="text-align:center">17</p></td> 
       <td class="custom-top-td acenter" width="15.37%"><p style="text-align:center">23</p></td> 
       <td class="custom-top-td acenter" width="25.65%"><p style="text-align:center">45</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="24.24%"><p style="text-align:center">Weight (kg)</p></td> 
       <td class="acenter" width="16.65%"><p style="text-align:center">61.2</p></td> 
       <td class="acenter" width="19.39%"><p style="text-align:center">10.8</p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">30.0</p></td> 
       <td class="acenter" width="15.37%"><p style="text-align:center">60.0</p></td> 
       <td class="acenter" width="25.65%"><p style="text-align:center">98.0</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="24.24%"><p style="text-align:center">height (m)</p></td> 
       <td class="acenter" width="16.65%"><p style="text-align:center">1.7</p></td> 
       <td class="acenter" width="19.39%"><p style="text-align:center">15.6</p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">1.3</p></td> 
       <td class="acenter" width="15.37%"><p style="text-align:center">1.7</p></td> 
       <td class="acenter" width="25.65%"><p style="text-align:center">2.0</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="24.24%"><p style="text-align:center">BMI (kg/m<sup>2</sup>)</p></td> 
       <td class="acenter" width="16.65%"><p style="text-align:center">20.5</p></td> 
       <td class="acenter" width="19.39%"><p style="text-align:center">3.4</p></td> 
       <td class="acenter" width="19.40%"><p style="text-align:center">9.9</p></td> 
       <td class="acenter" width="15.37%"><p style="text-align:center">20.1</p></td> 
       <td class="acenter" width="25.65%"><p style="text-align:center">35.7</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>According to the Quetelet classification, 62.4% of participants had a normal weight, while 28.5% were underweight and 9.1% were overweight. Among the overweight group, 23.3% were classified as obese, and 76.7% as overweight.</p>
    <p>The sex-disaggregated BMI analysis revealed that although 51.8% of overweight individuals were male, 76.4% of those with obesity were female. These results are summarized in <xref ref-type="table" rid="table3">
      Table 3
     </xref>. In the table, excess weight is defined as the combined total of overweight and obesity.</p>
    <table-wrap id="table3">
     <label>
      <xref ref-type="table" rid="table3">
       Table 3
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.144918-"></xref>Table 3. Distribution of BMI by sex of participants.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="acenter" width="14.93%"><p style="text-align:center"></p></td> 
       <td class="acenter" width="16.51%"><p style="text-align:center">Underweight (%)</p></td> 
       <td class="acenter" width="20.45%"><p style="text-align:center">Normal (%)</p></td> 
       <td class="acenter" width="16.09%"><p style="text-align:center">Overweight (%)</p></td> 
       <td class="acenter" width="14.64%"><p style="text-align:center">Obesity (%)</p></td> 
       <td class="acenter" width="17.38%"><p style="text-align:center">Excess weight (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="14.93%"><p style="text-align:center">Male</p></td> 
       <td class="custom-top-td acenter" width="16.51%"><p style="text-align:center">115 (50.4)</p></td> 
       <td class="custom-top-td acenter" width="20.45%"><p style="text-align:center">326 (65.3)</p></td> 
       <td class="custom-top-td acenter" width="16.09%"><p style="text-align:center">29 (51.8)</p></td> 
       <td class="custom-top-td acenter" width="14.64%"><p style="text-align:center">4 (23.5)</p></td> 
       <td class="custom-top-td acenter" width="17.38%"><p style="text-align:center">33 (45.2)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.93%"><p style="text-align:center">Female</p></td> 
       <td class="acenter" width="16.51%"><p style="text-align:center">113 (49.6)</p></td> 
       <td class="acenter" width="20.45%"><p style="text-align:center">173 (34.7)</p></td> 
       <td class="acenter" width="16.09%"><p style="text-align:center">27 (48.2)</p></td> 
       <td class="acenter" width="14.64%"><p style="text-align:center">13 (76.5)</p></td> 
       <td class="acenter" width="17.38%"><p style="text-align:center">40 (54.8)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="14.93%"><p style="text-align:center">Total</p></td> 
       <td class="acenter" width="16.51%"><p style="text-align:center">228 (100)</p></td> 
       <td class="acenter" width="20.45%"><p style="text-align:center">499 (100)</p></td> 
       <td class="acenter" width="16.09%"><p style="text-align:center">56 (100)</p></td> 
       <td class="acenter" width="14.64%"><p style="text-align:center">17 (100)</p></td> 
       <td class="acenter" width="17.38%"><p style="text-align:center">73 (100)</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>The average body fat percentage estimated using the Deurenberg formula was 24.3% ± 6.8% for females and 13.8% ± 6.1% for males.</p>
    <p>The sex-disaggregated body fat analysis showed that 89.9% of men and 66.4% of women had a normal body fat percentage. Details are provided in <xref ref-type="table" rid="table4">
      Table 4
     </xref>.</p>
    <table-wrap id="table4">
     <label>
      <xref ref-type="table" rid="table4">
       Table 4
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.144918-"></xref>Table 4. Distribution of body fat percentage by sex of participants.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="38.62%"><p style="text-align:center">Indicator</p></td> 
       <td class="custom-bottom-td acenter" width="25.85%"><p style="text-align:center">Men (%)</p></td> 
       <td class="custom-bottom-td acenter" width="24.02%"><p style="text-align:center">Women (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="38.62%"><p style="text-align:center">Underweight</p></td> 
       <td class="custom-top-td acenter" width="25.85%"><p style="text-align:center">18 (3.8)</p></td> 
       <td class="custom-top-td acenter" width="24.02%"><p style="text-align:center">83 (0.4)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="38.62%"><p style="text-align:center">Normal</p></td> 
       <td class="acenter" width="25.85%"><p style="text-align:center">426 (89.9)</p></td> 
       <td class="acenter" width="24.02%"><p style="text-align:center">223 (66.4)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="38.62%"><p style="text-align:center">Overweight</p></td> 
       <td class="acenter" width="25.85%"><p style="text-align:center">25 (5.2)</p></td> 
       <td class="acenter" width="24.02%"><p style="text-align:center">17 (5.2)</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="38.62%"><p style="text-align:center">Obesity</p></td> 
       <td class="acenter" width="25.85%"><p style="text-align:center">5 (1.0)</p></td> 
       <td class="acenter" width="24.02%"><p style="text-align:center">3 (0.92)</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>Sociodemographic Characteristics</p>
   <p>The study population was relatively young, with a mean age of 23 years, and predominantly male (59.2%), yielding a sex ratio of 1.5 in favor of men. This male predominance in university enrollments is not unique. Similar findings were reported in other sub-Saharan African contexts, such as a study in Benin where male students represented 64.3% of the university population compared to 35.7% for females <xref ref-type="bibr" rid="scirp.144918-15">
     [15]
    </xref>, and in Cameroon, where a health survey at the University of Yaoundé I found that men made up 61% of the student population <xref ref-type="bibr" rid="scirp.144918-16">
     [16]
    </xref>.</p>
   <p>These data reflect persistent gender disparities in access to higher education, although significant progress has been made in female enrollment over the past decade. According to UNESCO, the proportion of women in sub-Saharan university enrollment increased from 29% in 2000 to nearly 42% in 2020, thanks to equity and gender-promotion policies <xref ref-type="bibr" rid="scirp.144918-17">
     [17]
    </xref>. However, notable disparities remain across fields of study, with science, medical, and technical fields still largely male-dominated in many countries. The gender composition of the sample may therefore reflect both persistent structural inequalities and a gradual shift toward better gender parity.</p>
   <p>The low reported rates of tobacco (7.4%) and alcohol (3.0%) consumption align with trends seen in regional studies, where religious and cultural norms especially in Muslim-majority countries like Senegal strongly limit such behaviors among young adults <xref ref-type="bibr" rid="scirp.144918-18">
     [18]
    </xref>. This suggests that the sociocultural context continues to play a protective role against certain health-risk behaviors. However, this should be interpreted with caution. Prior studies have highlighted underreporting, especially in settings with strong social or religious norms where tobacco and alcohol use may be seen as morally unacceptable <xref ref-type="bibr" rid="scirp.144918-19">
     [19]
    </xref>. This social desirability bias could lead to an underestimation of risky behaviors, reinforcing the need for more robust methodological approaches in future surveys.</p>
   <p>Anthropometric Parameters and BMI</p>
   <p>The mean student weight was 61.2 kg and mean height was 1.70 m, with an average BMI of 20.5 kg/m<sup>2</sup>, indicating overall good nutritional status. However, a significant 28.5% of participants were underweight. This high rate may reflect dietary deficiencies, limited access to balanced food, or inadequate eating behaviors often linked to the university context (stress, irregular meals, poor food choices).</p>
   <p>Conversely, 9.1% of students had excess weight, including 2.1% classified as obese. These results reveal the double burden of malnutrition undernutrition and overnutrition an increasingly observed phenomenon in countries undergoing nutritional transition.</p>
   <p>For instance, in Mauritania, the prevalence of obesity among medical students at the University of Nouakchott was reported at 3.3% <xref ref-type="bibr" rid="scirp.144918-20">
     [20]
    </xref>, and at Joseph Ki-Zerbo University in Burkina Faso, 4.3% of students were classified as obese <xref ref-type="bibr" rid="scirp.144918-21">
     [21]
    </xref>, both higher than the present study.</p>
   <p>Sex Differences</p>
   <p>The sex-disaggregated BMI analysis revealed that while overweight was slightly more common among men (51.8%), obesity was significantly more prevalent among women (76.4% of all obese participants). This trend, also observed in other African studies <xref ref-type="bibr" rid="scirp.144918-22">
     [22]
    </xref>, may be explained by biological, sociocultural, and behavioral differences for instance, the cultural valorization of curvier female bodies, or differing dietary and physical activity patterns between men and women.</p>
   <p>Body Fat Estimation</p>
   <p>Body fat estimated using the Deurenberg formula yielded a mean of 24.3% in women and 13.8% in men, which is expected, as women naturally have a higher fat mass <xref ref-type="bibr" rid="scirp.144918-23">
     [23]
    </xref>.</p>
   <p>Importantly, most students 89.9% of men and 66.4% of women had normal body fat levels, which is reassuring. This finding also confirms that BMI alone can be misleading when evaluating nutritional status, especially in women, for whom body fat is naturally higher even at the same BMI <xref ref-type="bibr" rid="scirp.144918-14">
     [14]
    </xref>.</p>
   <p>While the present study highlights the high prevalence of underweight among students, this phenomenon may reflect broader structural challenges, particularly related to campus-based food insecurity and inadequate dietary practices. Several studies have shown that university students, especially in low- and middle-income countries, often face economic constraints that limit access to balanced and sufficient nutrition <xref ref-type="bibr" rid="scirp.144918-24">
     [24]
    </xref> <xref ref-type="bibr" rid="scirp.144918-25">
     [25]
    </xref>. In the context of Senegal, a qualitative study by Ndiaye et al. (2021) <xref ref-type="bibr" rid="scirp.144918-26">
     [26]
    </xref> revealed that many students rely on low-cost, energy-dense foods, often skipping meals due to financial difficulties. These patterns, combined with academic stress and irregular eating schedules, contribute to undernutrition despite the assumption that university students represent a relatively advantaged population. Addressing underweight in this population therefore requires a multidimensional approach, including nutritional support policies and student-centered food security programs.</p>
   <p>The coexistence of high rates of underweight and a notable fraction of excess weight underscores the need for targeted nutritional interventions. On the one hand, it is crucial to combat undernutrition through the promotion of accessible, balanced diets. On the other hand, obesity prevention, particularly among women, should be strengthened via culturally sensitive awareness programs.</p>
  </sec><sec id="s5">
   <title>5. Conclusions</title>
   <p>This study, conducted in 2025 among students at Gaston Berger University of Saint-Louis, highlights a dual nutritional challenge, marked by the coexistence of a high rate of underweight (28.5%) and a notable prevalence of excess weight (9.1%), including 2.1% classified as obese based on BMI and 1.0% based on body fat percentage.</p>
   <p>Although the prevalence of obesity remains relatively low in this young population, the presence of isolated cases, particularly among female students, points to the importance of not overlooking this emerging trend in university settings.</p>
   <p>The findings also show that most students have a normal body fat percentage, which is encouraging. However, the significant level of underweight observed may reflect difficulties in accessing balanced nutrition or inadequate eating habits.</p>
   <p>In the face of this double burden of malnutrition, it is essential to strengthen prevention strategies and nutritional education, specifically targeting university students, while taking into account the cultural and economic realities of the academic environment.</p>
   <p>Looking ahead, it would be relevant to complement this research with longitudinal studies and to use more precise methods of body composition assessment in order to better understand the evolution of dietary behaviors and their impact on student health.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.144918-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Corcos, T. (2012) Les complications cardiovasculaires de l’obésité. Médecine &amp; Longévité, 4, 99-110. &gt;https://doi.org/10.1016/j.mlong.2012.10.001
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Matta, J., Zins, M., Feral-Pierssens, A.L., Carette, C., Ozguler, A., Goldberg, M., et al. (2016) Prévalence du surpoids, de l’obésité et des facteurs de risque cardio-métaboliques dans la cohorte Constances. Bulletin epidémiologique hebdomadaire, 35, 640-646. &gt;http://invs.santepubliquefrance.fr/beh/2016/35-36/2016_35-36_5.html 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Institut Pasteur de Lille (2025) Diabète et obésité. Institut Pasteur de Lille. &gt;https://pasteur-lille.fr/centre-de-recherche/thematiques-de-recherche/diabete-et-obesite/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cancer Environnement (2025) Surpoids, obésité et cancer. Centre Léon Bérard. &gt;https://www.cancer-environnement.fr/fiches/nutrition-activite-physique/surpoids-obesite-et-cancer/ 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Organisation mondiale de la Santé (OMS) (2025) Maladies cardiovasculaires (MCV). OMS. &gt;https://www.who.int/fr/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hamza, Z., Khemakhem, R., Salah, I.B., Gargouri, R., Mnif, M., Elleuch, M., et al. (2025) Évaluation nutritionnelle chez les patients ayant un syndrome d’apnées obstructives du sommeil. Revue des Maladies Respiratoires Actualités, 17, 52. &gt;https://doi.org/10.1016/j.rmra.2024.11.116 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cordova, R., Kliemann, N., Huybrechts, I., Rauber, F., Vamos, E.P., Levy, R.B., et al. (2021) Consumption of Ultra-Processed Foods Associated with Weight Gain and Obesity in Adults: A Multi-National Cohort Study. Clinical Nutrition, 40, 5079-5088. &gt;https://doi.org/10.1016/j.clnu.2021.08.009 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     World Health Organization (2025) Obesity and Overweight. WHO. &gt;https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Okunogbe, A., Nugent, R., Spencer, G., Powis, J., Ralston, J. and Wilding, J. (2022) Economic Impacts of Overweight and Obesity: Current and Future Estimates for 161 Countries. BMJ Global Health, 7, e009773. &gt;https://doi.org/10.1136/bmjgh-2022-009773
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     World Health Organization Regional Office for Africa (2022) Obesity in Africa: A Growing Threat. WHO Regional Office for Africa. &gt;https://www.afro.who.int/publications/obesity-africa-growing-threat 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Rotich, S., Kamau, J., Oketch, M.A. and Okube, O.T. (2023) Prevalence and Predictors of Obesity among Undergraduate Students at a Private University, Nairobi, Kenya. Open Journal of Endocrine and Metabolic Diseases, 13, 23-38. &gt;https://doi.org/10.4236/ojemd.2023.132003
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     République du Sénégal and Ministère de la Santé et de l’Action Sociale (2024) Enquête nationale STEPS 2024 sur les facteurs de risque des maladies non transmissibles. Ministère de la Santé et de l’Action Sociale. &gt;https://www.ansd.sn/Indicateur/enquete-nationale-sur-les-maladies-non-transmissibles-steps
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Dionadji, M., Choua, O., Voussia, L., Abas, O. and Saleh, A. (2016) Prévalence de l’obésité chez les professionnels de la santé de l’Hôpital Général de Référence Nationale à Ndjamena. Health Sciences and Disease, 17, 1-3. 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Deurenberg, P., Weststrate, J.A. and Seidell, J.C. (1991) Body Mass Index as a Measure of Body Fatness: Age and Sex-Specific Prediction Formulas. British Journal of Nutrition, 65, 105-114. &gt;https://doi.org/10.1079/bjn19910073
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Tossou, A.A., Houehanou, C. and Fagbohoun, L. (2018) État nutritionnel et activité physique des étudiants de l’Université d’Abomey-Calavi (Bénin). African Journal of Nutrition and Dietetics, 6, 23-30.
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ngono, N.R., Tsala, E.T., Assako, R.N.D., Bita, A.G., Melingui, R., Agbor, N., et al. (2017) Comportements de santé des étudiants de l’Université de Yaoundé I. Santé Publique, 29, 855-862.
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     UNESCO (2021) Global Education Monitoring Report 2021: Inclusion and Education: All Means All. UNESCO.
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Institut National de la Statistique et de la Démographie (INSD) (2023) Déterminants de la consommation d’alcool et de tabac au Burkina Faso. INSD. &gt;https://www.cns.bf/IMG/pdf/insd_8determinant_de_la_consommation_d_alcool_et_du_tabac.pdf 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     World Health Organization (2018) Global Status Report on Alcohol and Health 2018. WHO.
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Diagana, M., Sow, M., Ba, B., et al. (2021) Obésité et surpoids chez les étudiants en médecine de l’Université de Nouakchott, Mauritanie. Pan African Medical Journal, 39, Article 142. 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ouedraogo, L., Samadoulougou, A.K., Ouedraogo, M., Sawadogo, B., Kologo, J.K., Bagbila, A.P., et al. (2017) Surpoids et obésité chez les étudiants en santé à l’Université Joseph Ki-Zerbo de Ouagadougou (Burkina Faso). Revue d’Épidémiologie et de Santé Publique, 65, S251.
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Correia, J., Pataky, Z. and Golay, A. (2014) Comprendre l’obésité en Afrique: Poids du développement et des représentations. Revue Médicale Suisse, 10, 712-716. &gt;https://doi.org/10.53738/revmed.2014.10.423.0712 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wells, J.C.K. (2007) Sexual Dimorphism of Body Composition. Best Practice&amp;Research Clinical Endocrinology&amp;Metabolism, 21, 415-430. &gt;https://doi.org/10.1016/j.beem.2007.04.007 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Micevski, D.A., Thornton, L.E. and Brockington, S. (2014) Food Insecurity among University Students in Victoria: A Pilot Study. Nutrition&amp;Dietetics, 71, 258-264. &gt;https://doi.org/10.1111/1747-0080.12097 
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Sogari, G., Velez-Argumedo, C., Gómez, M.I. and Mora, C. (2018) College Students and Eating Habits: A Study Using an Ecological Model for Healthy Behavior. Nutrients, 10, Article 1823. &gt;https://doi.org/10.3390/nu10121823
    </mixed-citation>
   </ref>
   <ref id="scirp.144918-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ndiaye, M., Diop, E.H., Ba, A. and Sow, D. (2021) Perceptions, habitudes alimentaires et insécurité nutritionnelle chez les étudiants de l’Université Cheikh Anta Diop de Dakar. Revue Santé Publique, 33, 145-152.
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>