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   <front>
      <journal-meta>
         <journal-id journal-id-type="publisher-id">rn</journal-id>
         <journal-title-group>
            <journal-title>Revista de Nutrição</journal-title>
            <abbrev-journal-title abbrev-type="publisher">Rev Nutr</abbrev-journal-title>
         </journal-title-group>
         <issn pub-type="ppub">1415-5273</issn>
         <issn pub-type="epub">1678-9865</issn>
         <publisher>
            <publisher-name>Pontifícia Universidade Católica de Campinas</publisher-name>
         </publisher>
      </journal-meta>
      <article-meta>
         <article-id pub-id-type="doi">10.1590/1678-9865202538e240147</article-id>
         <article-id pub-id-type="other">02101</article-id>
         <article-categories>
            <subj-group subj-group-type="heading">
               <subject>ORIGINAL | Nutritional Education</subject>
            </subj-group>
         </article-categories>
         <title-group>
            <article-title>Beyond the pandemic: shifts in healthcare workers’ nutritional habits and their relationship with COVID-19 fear, knowledge, misconception and preventive behaviors</article-title>
            <trans-title-group xml:lang="pt">
               <trans-title>Além da pandemia: mudanças nos hábitos nutricionais dos profissionais de saúde e sua relação com a COVID-19 medo, conhecimento, equívocos e comportamentos preventivos</trans-title>
            </trans-title-group>
         </title-group>
         <contrib-group>
            <contrib contrib-type="author">
               <contrib-id contrib-id-type="orcid">0000-0001-8763-7407</contrib-id>
               <name>
                  <surname>Rakıcıoğlu</surname>
                  <given-names>Neslişah</given-names>
               </name>
               <role content-type="http://credit.niso.org/contributor-roles/conceptualization">Conceptualization</role>
               <role content-type="http://credit.niso.org/contributor-roles/data-curation">Data curation</role>
               <role content-type="http://credit.niso.org/contributor-roles/investigation">Investigation</role>
               <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing">Writing–review and editing</role>
               <xref ref-type="aff" rid="aff01">1</xref>
            </contrib>
            <contrib contrib-type="author">
               <contrib-id contrib-id-type="orcid">0000-0002-2864-943X</contrib-id>
               <name>
                  <surname>Kocabaş</surname>
                  <given-names>Şule</given-names>
               </name>
               <role content-type="http://credit.niso.org/contributor-roles/data-curation">Data curation</role>
               <role content-type="http://credit.niso.org/contributor-roles/investigation">Investigation</role>
               <role content-type="http://credit.niso.org/contributor-roles/writing-original-draft">Writing–original draft</role>
               <xref ref-type="aff" rid="aff02">2</xref>
            </contrib>
            <contrib contrib-type="author">
               <contrib-id contrib-id-type="orcid">0000-0003-2824-0543</contrib-id>
               <name>
                  <surname>Ulusoy-Gezer</surname>
                  <given-names>Hande Gül</given-names>
               </name>
               <role content-type="http://credit.niso.org/contributor-roles/data-curation">Data curation</role>
               <role content-type="http://credit.niso.org/contributor-roles/investigation">Investigation</role>
               <role content-type="http://credit.niso.org/contributor-roles/writing-original-draft">Writing–original draft</role>
               <xref ref-type="aff" rid="aff01">1</xref>
            </contrib>
            <contrib contrib-type="author">
               <contrib-id contrib-id-type="orcid">0000-0003-0364-0401</contrib-id>
               <name>
                  <surname>Öznacar</surname>
                  <given-names>Tuğçe</given-names>
               </name>
               <role content-type="http://credit.niso.org/contributor-roles/methodology">Methodology</role>
               <role content-type="http://credit.niso.org/contributor-roles/writing-original-draft">Writing–original draft</role>
               <xref ref-type="aff" rid="aff03">3</xref>
            </contrib>
            <contrib contrib-type="author">
               <contrib-id contrib-id-type="orcid">0000-0001-5937-0485</contrib-id>
               <name>
                  <surname>Sanlier</surname>
                  <given-names>Nevin</given-names>
               </name>
               <role content-type="http://credit.niso.org/contributor-roles/conceptualization">Conceptualization</role>
               <role content-type="http://credit.niso.org/contributor-roles/data-curation">Data curation</role>
               <role content-type="http://credit.niso.org/contributor-roles/investigation">Investigation</role>
               <role content-type="http://credit.niso.org/contributor-roles/writing-review-editing">Writing–review and editing</role>
               <xref ref-type="aff" rid="aff02">2</xref>
               <xref ref-type="corresp" rid="c01"/>
            </contrib>
         </contrib-group>
         <aff id="aff01">
            <label>1</label>
            <institution content-type="orgname">Hacettepe University</institution>
            <institution content-type="orgdiv1">Faculty of Health Sciences</institution>
            <institution content-type="orgdiv2">Department of Nutrition and Dietetics</institution>
            <addr-line>
               <city>Ankara</city>
            </addr-line>
            <country country="TR">Türkiye</country>
            <institution content-type="original">Hacettepe University, Faculty of Health Sciences, Department of Nutrition and Dietetics. Ankara, Türkiye.</institution>
         </aff>
         <aff id="aff02">
            <label>2</label>
            <institution content-type="orgname">Ankara Medipol University</institution>
            <institution content-type="orgdiv1">Faculty of Health Sciences</institution>
            <institution content-type="orgdiv2">Department of Nutrition and Dietetics</institution>
            <addr-line>
               <city>Ankara</city>
            </addr-line>
            <country country="TR">Türkiye</country>
            <institution content-type="original">Ankara Medipol University, Faculty of Health Sciences, Department of Nutrition and Dietetics. Ankara, Türkiye.</institution>
         </aff>
         <aff id="aff03">
            <label>3</label>
            <institution content-type="orgname">Ankara Medipol University</institution>
            <institution content-type="orgdiv1">Faculty of Medicine</institution>
            <institution content-type="orgdiv2">Department of Biostatistics</institution>
            <addr-line>
               <city>Ankara</city>
            </addr-line>
            <country country="TR">Türkiye</country>
            <institution content-type="original">Ankara Medipol University, Faculty of Medicine, Department of Biostatistics. Ankara, Türkiye.</institution>
         </aff>
         <author-notes>
            <corresp id="c01">Correspondence to: N SANLIER. E-mail: <email>nevintekgul@gmail.com</email>.</corresp>
            <fn fn-type="edited-by">
               <label>Editor</label>
               <p>Rossana Pacheco da Costa Proença</p>
            </fn>
            <fn fn-type="conflict">
               <label>Conflict of interest</label>
               <p>The authors declare that there are no conflicts of interest.</p>
            </fn>
         </author-notes>
         <pub-date publication-format="electronic" date-type="pub">
            <day>0</day>
            <month>0</month>
            <year>2025</year>
         </pub-date>
         <pub-date publication-format="electronic" date-type="collection">
            <year>2025</year>
         </pub-date>
         <volume>38</volume>
         <elocation-id>e240147</elocation-id>
         <history>
            <date date-type="received">
               <day>19</day>
               <month>09</month>
               <year>2024</year>
            </date>
            <date date-type="rev-recd">
               <day>18</day>
               <month>12</month>
               <year>2024</year>
            </date>
            <date date-type="accepted">
               <day>30</day>
               <month>01</month>
               <year>2025</year>
            </date>
         </history>
         <permissions>
            <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/" xml:lang="en">
               <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
            </license>
         </permissions>
         <abstract>
            <title>ABSTRACT</title>
            <sec>
               <title>Objective</title>
               <p>This study aimed to determine the changing nutritional habits of healthcare workers after the pandemic and to evaluate the fears, knowledge, misconceptions, and preventive behaviors related to Coronavirus Disease 2019 (COVID-19).</p>
            </sec>
            <sec>
               <title>Methods</title>
               <p>This cross-sectional study conducted with Turkish healthcare workers was conducted between April and June 2021. A total of 354 volunteer adult healthcare workers (58 males and 296 females) aged between 20 and 70 years were included in the study. The study used several scales to measure knowledge, fear, preventive practices, and misconceptions: the Assessment of Knowledge of COVID-19, the Fear of COVID-19, the Self-Reported Assessment of Preventive Behaviors, and the Misconception of COVID-19, respectively.</p>
            </sec>
            <sec>
               <title>Results</title>
               <p>Women exhibited higher fear (<italic>p</italic>&lt;0.001) and misconception scores than men (p=0.034). Weight gain was associated with an increase in misconceptions (<italic>p</italic>=0.017). Married women demonstrated better preventive behaviors compared to single women (<italic>p</italic>=0.006). Fear of COVID-19 was positively correlated with knowledge (r=0.0130; <italic>p</italic>=0.014), preventive behaviors (r=0.176; <italic>p</italic>=0.001), and misconceptions (r=0.206; <italic>p</italic>&lt;0.001). Additionally, higher knowledge scores were linked to increased consumption of milk (<italic>p</italic>=0.009), green leafy vegetables (<italic>p</italic>=0.003), yellow-orange vegetables (<italic>p</italic>=0.013), and reduced consumption of bread (<italic>p</italic>=0.014) and chocolate, wafer, and biscuit (<italic>p</italic>=0.027).</p>
            </sec>
            <sec>
               <title>Conclusion</title>
               <p>This study reveals that healthcare workers’ nutritional habits are influenced by their COVID-19-related knowledge, fear, misconceptions, and preventive behaviors, with higher knowledge associated with healthier food choices.</p>
            </sec>
         </abstract>
         <trans-abstract xml:lang="pt">
            <title>RESUMO</title>
            <sec>
               <title>Objetivo</title>
               <p>Este estudo teve como objetivo determinar as mudanças nos hábitos nutricionais dos profissionais de saúde após a pandemia e avaliar os medos, conhecimentos, equívocos e comportamentos preventivos relacionados à Doença do Coronavírus 2019 (COVID-19).</p>
            </sec>
            <sec>
               <title>Métodos</title>
               <p>Este estudo transversal com profissionais de saúde turcos foi conduzido entre abril e junho de 2021. Um total de 354 profissionais de saúde adultos voluntários (58 homens e 296 mulheres) com idades entre 20 e 70 anos foram incluídos no estudo. O estudo usou várias escalas para medir conhecimento, medo, práticas preventivas e equívocos: a Avaliação do Conhecimento da COVID-19, o Medo da COVID-19, a Avaliação Auto-Relatada de Comportamentos Preventivos e o Equívoco da COVID-19, respectivamente.</p>
            </sec>
            <sec>
               <title>Resultados</title>
               <p>As mulheres apresentaram escores mais elevados de medo (p&lt;0,001) e equívocos do que os homens (p=0,034). O ganho de peso foi associado ao aumento de equívocos (p=0,017). Mulheres casadas demonstraram comportamentos preventivos melhores em comparação com mulheres solteiras (p=0,006). O medo do COVID-19 foi correlacionado positivamente com o conhecimento (r=0,0130; p=0,014), os comportamentos preventivos (r=0,176; p=0,001) e os equívocos (r=0,206; p&lt;0,001). Além disso, escores de conhecimento mais elevados estiveram ligados ao aumento do consumo de leite (p=0,009), vegetais de folhas verdes (p=0,003), vegetais amarelo-alaranjados (p=0,013) e à redução do consumo de pão (p=0,014) e chocolate, bolacha e biscoito (p=0,027).</p>
            </sec>
            <sec>
               <title>Conclusão</title>
               <p>Este estudo revela que os hábitos alimentares dos trabalhadores da saúde são influenciados pelo conhecimento relacionado ao COVID-19, medo, equívocos e comportamentos preventivos, com maior conhecimento associado a escolhas alimentares mais saudáveis.</p>
            </sec>
         </trans-abstract>
         <kwd-group xml:lang="en">
            <title>Keywords</title>
            <kwd>COVID-19</kwd>
            <kwd>Fear</kwd>
            <kwd>Health personnel</kwd>
            <kwd>Knowledge</kwd>
         </kwd-group>
         <kwd-group xml:lang="pt">
            <title>Palavras-chave</title>
            <kwd>COVID-19</kwd>
            <kwd>Medo</kwd>
            <kwd>Pessoal de saúde</kwd>
            <kwd>Conhecimento</kwd>
         </kwd-group>
      </article-meta>
   </front>
   <body>
      <sec sec-type="intro">
         <title>INTRODUCTION</title>
         <p>Pandemics have caused significant individual, social, and economic problems. Healthcare workers, who form the backbone of the healthcare system, were at high risk due to their direct involvement in providing care during the pandemic [<xref ref-type="bibr" rid="B01">1</xref>]. Healthcare workers represented 14% of the cases reported to the World Health Organization [<xref ref-type="bibr" rid="B02">2</xref>]. The spread of the disease among healthcare workers has been worsened by insufficient awareness of infection prevention practices [<xref ref-type="bibr" rid="B03">3</xref>]. Healthcare workers’ fear, knowledge, and attitudes toward the pandemic affect their commitment to control measures [<xref ref-type="bibr" rid="B04">4</xref>]. Increasing knowledge and preventive behaviors related to the pandemic may enhance infection control practices among healthcare workers, improving patient care while also protecting the health of healthcare workers [<xref ref-type="bibr" rid="B05">5</xref>]. Since the effects of pandemics on healthcare workers are still not fully understood, this remains an active area of research and is crucial for shaping future intervention strategies aimed at improving the health of healthcare workers and, ultimately, patient outcomes [<xref ref-type="bibr" rid="B06">6</xref>].</p>
         <p>Social isolation and public health measures, such as quarantine practices, travel restrictions, curfews, and social distancing rules implemented worldwide, along with the fear of the virus with unknown causes and treatments, have led to changes in individuals’ eating habits [<xref ref-type="bibr" rid="B07">7</xref>]. During the quarantine period, there were significant decreases in the consumption of rice, meat, poultry, dairy products, fresh vegetables and fruits, while the consumption of highly processed and high-energy foods, such as ready-to-eat foods, snacks, and cereals, increased. Reports indicated that individuals tended to prefer fatty, sugary, and salty foods, and increased stress from social isolation led to overeating [<xref ref-type="bibr" rid="B08">8</xref>]. Significant changes in adults’ diets during quarantine were found, with an increase in the consumption of sweets and canned meat products [<xref ref-type="bibr" rid="B09">9</xref>]. The increased workload and stress caused by the pandemic led to higher consumption of ultra-processed foods, which are low in nutrients and high in sugar and fat content [<xref ref-type="bibr" rid="B06">6</xref>]. This has been associated with an increased risk of serious complications, as it contributes to chronic inflammation [<xref ref-type="bibr" rid="B10">10</xref>]. Adequate and balanced nutrition, as well as adequate intake of micro- and macronutrients, are important factors influencing immune function across all age groups [<xref ref-type="bibr" rid="B11">11</xref>-<xref ref-type="bibr" rid="B12">12</xref>]. These dietary changes have particularly increased the risk of chronic diseases such as obesity, diabetes, cardiovascular diseases, and eating disorders, which are further exacerbated by media exposure, disruption of daily activities, social isolation, and fear of infection [<xref ref-type="bibr" rid="B13">13</xref>]. Examining the changing dietary habits of healthcare workers, understanding their level of knowledge about exposure to the virus, and identifying factors that influence their attitudes and practices are crucial for protecting them during and after the pandemic [<xref ref-type="bibr" rid="B04">4</xref>-<xref ref-type="bibr" rid="B05">5</xref>].</p>
         <p>This study explores how the pandemic has influenced the nutritional habits of healthcare workers, a group highly vulnerable to both physical and psychological stress. By examining changes in the consumption of food groups such as milk and dairy products, cereals, vegetables and fruits, meats, fats, and sugary foods in relation to participants’ COVID-19-related knowledge, preventive behaviors, fear, and misconceptions, this research provides valuable insights into how these psychological and behavioral factors may have altered nutritional habits. Understanding these changes is crucial from a public health perspective, as the findings can inform targeted interventions aimed at supporting the well-being of healthcare workers.</p>
      </sec>
      <sec sec-type="methods">
         <title>METHODS</title>
         <sec>
            <title>Study design and population</title>
            <p>This cross-sectional study with Turkish healthcare workers was conducted between April and June 2021. The survey form was sent to healthcare workers via WhatsApp, Twitter, Instagram, and Facebook, which are connected to the researchers’ systems, using a Google Forms link. Data was collected using the snowball sampling technique. Before starting the survey, participants filled out the electronic consent form. It took approximately 20 minutes for the participants to complete the survey. Ethical approval was obtained from the Ankara Medipol University Non-Interventional Clinical Research Ethics Committee (April 21, 2021/No. 18).</p>
            <p>A total of 354 voluntary adult healthcare workers (58 males and 296 females), aged between 20 and 70 years, were included in the study. Pregnant and lactating women, psychoactive drug users, non-volunteers, and individuals not working in healthcare were excluded.</p>
         </sec>
         <sec>
            <title>Instruments</title>
            <p>Research data collection tools are categorized into five main headings, which are as follows: 1) General information questionnaire (15 questions); 2) Assessment of knowledge of COVID-19 (15 items); 3) Self-reported assessment of preventive behaviors (9 items); 4) Fear of COVID-19 (7 items); and 5) Misconception of COVID-19 (14 items).</p>
            <p><italic>General information questionnaire</italic> − In this section, participants’ general information, anthropometric measurements, dietary habits, changes in these habits during the COVID-19 pandemic, and their knowledge about COVID-19 were evaluated.</p>
            <p><italic>Assessment of knowledge of COVID-19</italic> − An evaluation form consisting of 15 statements about COVID-19 was prepared by Alsoghair et al. participants received 1 point for each correct answer and 0 points for incorrect answers, with the total knowledge score ranging from 0 to 15. A higher score indicates a higher level of knowledge about COVID-19. Using 50% and 75% as cut-off points, participants were classified as having a low knowledge level if their scores ranged from 1 to 7, an average knowledge level if their scores were between 8 and 11, and a high knowledge level if their scores ranged from 12 to 15 [<xref ref-type="bibr" rid="B14">14</xref>].</p>
            <p><italic>Self-reported assessment of preventive behaviors</italic> − The questionnaire developed by Alsoghair et al. to evaluate preventive behaviors in response to COVID-19 consists of 9 statements. Participants’ responses were recorded on a 4-point Likert scale, where ‘strongly disagree’ and ‘disagree’ were scored as 0, and ‘agree’ and ‘strongly agree’ were scored as 1. The total score ranges from 0 to 9. Using 50% and 75% as cut-off points, participants were classified as having low-level preventive behaviors if their scores ranged from 1 to 4, average-level preventive behaviors if their scores ranged from 5 to 6, and high-level preventive behaviors if their scores ranged from 7 to 9 [<xref ref-type="bibr" rid="B14">14</xref>]. The Cronbach’s alpha value for this scale was=0.815 in this study.</p>
            <p><italic>Fear of COVID-19</italic> − In this section, the COVID-19 fear scale developed by Ahorsu et al. (2020) consisting of 7 questions, was used. The scale is a 5-point Likert scale, where the responses were evaluated as: strongly disagree=1, disagree=2, undecided=3, agree=4, and strongly agree=5. The minimum score for each question is 1 and the maximum score is 5. The total score range is between 7 and 35 points. A higher score indicates a higher level of fear of COVID-19 [<xref ref-type="bibr" rid="B15">15</xref>]. The Cronbach’s alpha value for this scale was=0.865 in this study.</p>
            <p><italic>Misconception of COVID-19</italic> − The misconception of COVID-19 form consists of 14 statements. The scale was evaluated using a 5-point Likert scale (1: never, 2: rarely, 3: sometimes, 4: often, 5: always). While preparing this questionnaire, studies on flu infections viewed as pandemics were used as references [<xref ref-type="bibr" rid="B16">16</xref>-<xref ref-type="bibr" rid="B20">20</xref>]. Media discussions and previous studies also contributed to the construction of the scale. The Cronbach’s alpha value for this scale was=0.833 in this study.</p>
         </sec>
         <sec>
            <title>Anthropometric measurements</title>
            <p>Since the data were collected during the COVID-19 pandemic, participants’ height and body weight measurements were self-reported. Body Mass Index (BMI=kg/m<sup>2</sup>) was calculated by dividing body weight in kilograms by the square of height in meters. Participants were classified according to their BMI as follows: normal weight (18.5≤ BMI ≤24.9 kg/m<sup>2</sup>), overweight (BMI ≥25.0 kg/m<sup>2</sup>), and obese (BMI ≥30.0 kg/m<sup>2</sup>) [<xref ref-type="bibr" rid="B21">21</xref>].</p>
         </sec>
         <sec>
            <title>Statistical analysis</title>
            <p>Statistical analysis of the data was performed using the IBM®SPSS® version 25 program. In the study, mean±standard deviation (<italic>X</italic>±SD) or median (minimum-maximum) for numerical variables and frequency (n) and percentage (%) for categorical variables were given as descriptive statistics depending on the assumptions. The compatibility of the quantitative variables in the study with normal distribution was examined with the Kolmogorov-Smirnov test. In examining the differences between the two groups, the Student’s t-test was used if the parametric test assumptions were met, and the Mann-Whitney U test was used if not. One-way Analysis of Variance (ANOVA) was used to examine the differences between more than two normally distributed groups, and Tukey’s test, one of the multiple comparison tests, was used to determine which groups the difference originated from. Kruskal-Wallis test, which is a nonparametric test, was used to examine the differences between two or more groups in non-normally distributed data, and the Mann-Whitney U test was used to evaluate pairwise comparisons between groups. Spearman’s correlation coefficient was used to assess the relationship between fear of COVID-19 and knowledge about COVID-19, reported preventive behaviors in response to COVID-19, and misconceptions about COVID-19. Multiple Linear Regression Analysis was performed to determine the independent variables affecting a numerical dependent variable and the Coefficient of Explanation (R2) was given. In the analysis, p&lt;0.05 was considered statistically significant.</p>
         </sec>
      </sec>
      <sec sec-type="results">
         <title>RESULTS</title>
         <sec>
            <title>Evaluation of participants’ body weight changes, COVID-19-related knowledge, preventive behaviors, fear, and misconception scores</title>
            <p>A total of 354 individuals (16.4% males and 83.6% females) participated in the study. The median age of the participants was 33 years (range: 20-55). Of the participants, 46.9% were single and 53.1% were married. Among the adults, 232 (65.5%) had normal body weight and 117 (33.1%) were overweight/obese. Most participants had high levels of knowledge and preventive behaviors related to COVID-19 (95.8% and 91.8%, respectively). The mean scores for COVID-19-related knowledge, preventive behavior, fear, and misconception were 13.65±1.205, 8.28±1.542, 17.49±5.739 and 34.81±8.804, respectively (<xref ref-type="table" rid="t01">Table 1</xref>).</p>
            <table-wrap id="t01">
               <label>Table 1</label>
               <caption>
                  <title>Evaluation of participants' body weight change, COVID-19-related knowledge, preventive behaviors, fear, and misconception scores (n=354).</title>
               </caption>
               <table frame="hsides" rules="groups">
                  <thead>
                     <tr align="center">
                        <th align="left">Variables</th>
                        <th>N</th>
                        <th>%</th>
                     </tr>
                  </thead>
                  <tbody>
                     <tr align="center">
                        <td align="left">Body mass index</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Normal body weight</td>
                        <td>232</td>
                        <td>65.5</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Overweight/obesity</td>
                        <td>117</td>
                        <td>33.1</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Not reported</td>
                        <td>5</td>
                        <td>01.4</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Changes in body weight</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Not changed</td>
                        <td>118</td>
                        <td>33.3</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>143</td>
                        <td>40.4</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>89</td>
                        <td>25.1</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Not reported</td>
                        <td>4</td>
                        <td>01.1</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Level of COVID-19 knowledge</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Low</td>
                        <td>-</td>
                        <td>-</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Average</td>
                        <td>15</td>
                        <td>04.2</td>
                     </tr>
                     <tr align="center">
                        <td align="left">High</td>
                        <td>339</td>
                        <td>95.8</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Level of self-reported COVID-19 preventive behavior</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Low</td>
                        <td>-</td>
                        <td>-</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Average</td>
                        <td>29</td>
                        <td>08.2</td>
                     </tr>
                     <tr align="center">
                        <td align="left">High</td>
                        <td>325</td>
                        <td>91.8</td>
                     </tr>
                     <tr align="center" style="border-bottom-width:thin;border-bottom-style:solid;border-top-width:thin;border-top-style:solid">
                        <td align="left">Variables</td>
                        <td colspan="2">Mean±SD</td>
                     </tr>
                     <tr align="center">
                        <td align="left">COVID-19 knowledge score</td>
                        <td colspan="2">13.65±1.205</td>
                     </tr>
                     <tr align="center">
                        <td align="left"> Self-reported COVID-19 preventive score</td>
                        <td colspan="2">8.28±1.542</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Fear of COVID-19</td>
                        <td colspan="2">17.49±5.739</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Misconception on the COVID-19</td>
                        <td colspan="2">34.81±8.804</td>
                     </tr>
                  </tbody>
               </table>
               <table-wrap-foot>
                  <fn>
                     <p>Note: M: Mean, SD: Standard Deviation.</p>
                  </fn>
               </table-wrap-foot>
            </table-wrap>
         </sec>
         <sec>
            <title>Evaluation of individuals’ knowledge, preventive behaviors, fear, and related misconception scores about COVID-19 according to demographic information</title>
            <p>A significant difference was found between men and women in terms of COVID-19 fear scale and COVID-19 misconception scores (<italic>p</italic>&lt;0.001; <italic>p</italic>=0.034, respectively). Both fear and misconception scores were higher in women than in men (<xref ref-type="table" rid="t02">Table 2</xref>). A significant difference was found between married and single individuals only in terms of preventive behavior scores (<italic>p</italic>=0.066). The preventive behavior scores of married individuals in response to COVID-19 were higher than those of single individuals (<xref ref-type="table" rid="t02">Table 2</xref>). No significant difference was found between individuals with normal body weight and those with overweight or obesity according to body mass index (<italic>p</italic>&gt;0.05). A significant difference was found in COVID-19 misconception scores among body weight change status (increase, decrease, no change) during the pandemic period in terms of COVID-19 misconception scores (<italic>p</italic>=0.017). The difference was between individuals whose body weight increased and those whose body weight did not change; and those with increased body weight had higher misconception scores (<xref ref-type="table" rid="t02">Table 2</xref>). There was no significant difference between men and women regarding weight gain (M_U=233.5; <italic>p</italic>=0.148) or weight loss (M_U=1188; <italic>p</italic>=0.517).</p>
            <table-wrap id="t02">
               <label>Table 2</label>
               <caption>
                  <title>Evaluation of individuals' knowledge, preventive behaviors, fear, and related misconception scores about COVID-19 according to demographic information.</title>
               </caption>
               <table frame="hsides" rules="groups">
                  <thead>
                     <tr align="center">
                        <th rowspan="2" align="left">Characteristics</th>
                        <th colspan="4" style="border-bottom-width:thin;border-bottom-style:solid">COVID-19</th>
                     </tr>
                     <tr align="center">
                        <th> Knowledge score<break/> (<overline><italic>X</italic></overline> ±SD)</th>
                        <th>Preventive behavior score (<overline><italic>X</italic></overline> ±SD)</th>
                        <th> Fear score<break/> (<overline><italic>X</italic></overline> ±SD)</th>
                        <th>Misconception score (<overline><italic>X</italic></overline> ±SD)</th>
                     </tr>
                  </thead>
                  <tbody>
                     <tr align="center">
                        <td align="left">Gender</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Female</td>
                        <td>13.68±1.173</td>
                        <td>8.30±1.534</td>
                        <td>18.08±5.667</td>
                        <td>35.25±8.782</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Male</td>
                        <td>13.47±1.354</td>
                        <td>8.19±1.594</td>
                        <td>14.48±5.175</td>
                        <td>32.55±8.639</td>
                     </tr>
                     <tr align="center">
                        <td align="left">  Z<sup><bold><xref ref-type="table-fn" rid="TFN01">1</xref></bold></sup>, <italic>p</italic></td>
                        <td>-0.993, 0.321</td>
                        <td>-0.585, 0.558</td>
                        <td>-4.394, &lt;0.001</td>
                        <td>-2.124, 0.034</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Marital status</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Single (n=166)</td>
                        <td>13.58±1.177</td>
                        <td>8.10±1.635</td>
                        <td>17.01±5.985</td>
                        <td>35.33±8.615</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Married (n=188)</td>
                        <td>13.71±1.23</td>
                        <td>8.44±1.441</td>
                        <td>17.91±5.495</td>
                        <td>34.35±8.964</td>
                     </tr>
                     <tr align="center">
                        <td align="left">  Z<sup><bold><xref ref-type="table-fn" rid="TFN01">1</xref></bold></sup>, <italic>p</italic></td>
                        <td>-1.336, 0.182</td>
                        <td>-2.763, 0.006</td>
                        <td>-1.661, 0.097</td>
                        <td>0.847, 0.397</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Education status</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">High School (n=10)</td>
                        <td>12.90±1.969</td>
                        <td>6.90±2.131</td>
                        <td>16.3±7.645</td>
                        <td>35.7±6.601</td>
                     </tr>
                     <tr align="center">
                        <td align="left">University (n=344)</td>
                        <td>13.66±1173</td>
                        <td>8.32±1.506</td>
                        <td>17.52±5.686</td>
                        <td>34.78±8.866</td>
                     </tr>
                     <tr align="center">
                        <td align="left">  Z<sup><bold><xref ref-type="table-fn" rid="TFN01">1</xref></bold></sup>, <italic>p</italic></td>
                        <td>-0.762, 0.446</td>
                        <td>-2.019, 0.044</td>
                        <td>-0.772, 0.470</td>
                        <td>0.342, 0.732</td>
                     </tr>
                     <tr align="center">
                        <td align="left"> BMI (kg/m<sup>2</sup>)</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Normal</td>
                        <td>13.56±1.274</td>
                        <td>8.28±1.445</td>
                        <td>17.67±5.751</td>
                        <td>35.55±8.939</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Overweight/obese</td>
                        <td>13.79±1.055</td>
                        <td>8.36±1.567</td>
                        <td>17.15±5.736</td>
                        <td>33.4±8.026</td>
                     </tr>
                     <tr align="center">
                        <td align="left">  Z<sup><bold><xref ref-type="table-fn" rid="TFN01">1</xref></bold></sup>, <italic>p</italic></td>
                        <td>-1.405, 0.160</td>
                        <td>-1.324, 0.185</td>
                        <td>-0.624,0.532</td>
                        <td>-1.862, 0.063</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Body weight change status during the pandemic period (kg)</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.64±1.297</td>
                        <td>8.29±1.486</td>
                        <td>17.71±5.576</td>
                        <td> 36.16±8.472<sup><xref ref-type="table-fn" rid="TFN03">a</xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.66±1.119</td>
                        <td>8.33±1.497</td>
                        <td>17.04±5.479</td>
                        <td> 33.03±8.296<sup>b</sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.65±1.188</td>
                        <td>8.26±1.585</td>
                        <td>17.8±6.412</td>
                        <td> 34.97±9.816<sup><xref ref-type="table-fn" rid="TFN03">a,b</xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">  F<sup><bold><xref ref-type="table-fn" rid="TFN02">2</xref></bold></sup>, <italic>p</italic></td>
                        <td>0.007, 0.993</td>
                        <td>0.058, 0.944</td>
                        <td>0.581, 0.560</td>
                        <td>4.151, 0.017</td>
                     </tr>
                  </tbody>
               </table>
               <table-wrap-foot>
                  <fn>
                     <p>Note:</p>
                  </fn>
                  <fn id="TFN01">
                     <label>1</label>
                     <p>Mann-Whitney U t-test; mean±standard deviation;</p>
                  </fn>
                  <fn id="TFN02">
                     <label>2</label>
                     <p>Variance Analysis; mean±standard deviation.</p>
                  </fn>
                  <fn id="TFN03">
                     <label>a, b</label>
                     <p>Values denoted by different letters are significantly different from each other in column.</p>
                  </fn>
                  <fn>
                     <p>Statistically significant <italic>p</italic> values are shown in bold.</p>
                  </fn>
               </table-wrap-foot>
            </table-wrap>
         </sec>
         <sec>
            <title>Correlation (r) between fear of COVID-19 and knowledge, preventive behavior, and misconceptions, along with evaluation of independent variables affecting fear</title>
            <p>A weak positive linear relationship was found between fear of COVID-19 and knowledge, behavior, and misconception scores (r=0.014, r=0.176, r=0.206, respectively) (<xref ref-type="table" rid="t03">Table 3</xref>). When examining the model of the effect of age, marital status, body weight change, and gender on fear, alongside knowledge, behavior, and misconception scores, only age, gender, misconception, and behavior were found to independently affect fear.</p>
            <table-wrap id="t03">
               <label>Table 3</label>
               <caption>
                  <title>Correlation (r) between fear of COVID-19 and knowledge, preventive behavior, and misconceptions, along with evaluation of independent variables affecting fear.</title>
               </caption>
               <table frame="hsides" rules="groups">
                  <thead>
                     <tr align="center">
                        <th align="left">Variables</th>
                        <th colspan="5">Fear of COVID-19</th>
                     </tr>
                  </thead>
                  <tbody>
                     <tr align="center">
                        <td align="left">Knowledge of COVID-19</td>
                        <td colspan="5"> r=0.130<sup><bold><xref ref-type="table-fn" rid="TFN04">*</xref></bold></sup>, <italic>p</italic>=0.014</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Self-reported assessment of preventive behaviors</td>
                        <td colspan="5"> r=0.176<sup><bold><xref ref-type="table-fn" rid="TFN05">**</xref></bold></sup>, <italic>p</italic>=0.001</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Misconception of COVID-19</td>
                        <td colspan="5"> r=0.206<sup><bold><xref ref-type="table-fn" rid="TFN05">**</xref></bold></sup>, <italic>p</italic>&lt;0.001</td>
                     </tr>
                     <tr align="center" style="border-bottom-width:thin;border-bottom-style:solid;border-top-width:thin;border-top-style:solid">
                        <td align="left">Variables</td>
                        <td>Unstandardized beta</td>
                        <td>Standard error</td>
                        <td><italic>t</italic></td>
                        <td><italic>p</italic></td>
                        <td>95% CI</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Age (years)</td>
                        <td>0.060</td>
                        <td>0.022</td>
                        <td>2.757</td>
                        <td>0.006</td>
                        <td>0.017-0.103</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Gender (female)</td>
                        <td>3.487</td>
                        <td>0.778</td>
                        <td>4.484</td>
                        <td>&lt;0.001</td>
                        <td>1.957-5.016</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Misconception of COVID-19</td>
                        <td>0.168</td>
                        <td>0.032</td>
                        <td>5.203</td>
                        <td>&lt;0.001</td>
                        <td>0.105-0.232</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Self-reported assessment of preventive behaviors</td>
                        <td>0.679</td>
                        <td>0.184</td>
                        <td>3.681</td>
                        <td>&lt;0.001</td>
                        <td>0.316-1.041</td>
                     </tr>
                  </tbody>
               </table>
               <table-wrap-foot>
                  <fn>
                     <p>Note:</p>
                  </fn>
                  <fn id="TFN04">
                     <label>*</label>
                     <p>Correlation is significant at the 0.05 level (2-tailed),</p>
                  </fn>
                  <fn id="TFN05">
                     <label>**</label>
                     <p>Correlation is significant at the 0.01 level (2-tailed).</p>
                  </fn>
                  <fn>
                     <p>r=Spearman Correlation Coefficient Dependent Variable: Fear; Model Significance <italic>p</italic>&lt;0.001; R2=0.165. Model 1: Age; Model 2: Age+Gender; Model 3: Age+Gender+Misconception; Model 4: Age+Gender+Misconception+Behavior. CI: Confidence Interval. Statistically significant <italic>p</italic> values are shown in bold.</p>
                  </fn>
               </table-wrap-foot>
            </table-wrap>
            <p>According to the linear regression analysis, the model established as Fear = 0.802 + 0.168 (Misconception) + 0.679 (Behavior) + 0.060 (Age in years) + 3.487 (Gender: female) was statistically significant (<italic>p</italic>&lt;0.001) (<xref ref-type="table" rid="t03">Table 3</xref>). Misconception, behavior, age, and gender explained only 16.5% of the model. An increase of 1 unit in the behavior score leads to an increase of 0.679 points in the fear score. Similarly, a 1-unit increase in misconception score leads to a 0.168 increase in fear score and a 1-unit increase in age leads to a 0.060 increase in fear score. The fear score of women is 3.487 points higher than that of men.</p>
         </sec>
         <sec>
            <title>Changes in the consumption of some foods according to individuals’ COVID-19-related knowledge, preventive behaviors, fear, and related misconception scores during the pandemic period</title>
            <p>According to the COVID-19 knowledge score, the changes in the consumption of milk (<italic>p</italic>=0.009), bread (<italic>p</italic>=0.014), green leafy vegetables (<italic>p</italic>=0.003), yellow-orange vegetables (<italic>p</italic>=0.013) and chocolate, wafer, and biscuit (<italic>p</italic>=0.027) during the pandemic period were statistically significant. According to the COVID-19 preventive behavior score, the change in cheese (<italic>p</italic>=0.008) consumption during the pandemic period was statistically significant. According to the COVID-19 fear score, the changes in milk (<italic>p</italic>=0.037), yogurt (<italic>p</italic>&lt;0.001), and cheese (<italic>p</italic>=0.037) consumption during the pandemic period were statistically significant. According to the COVID-19 misconception score, changes in bread (<italic>p</italic>=0.004), other cereals (<italic>p</italic>=0.009), pastry desserts (<italic>p</italic>=0.004), chocolate, wafer, and biscuit (<italic>p</italic>=0.032), and butter (<italic>p</italic>=0.037), soft margarine (<italic>p</italic>=0.011) consumption during the pandemic period were statistically significant (<xref ref-type="table" rid="t04">Table 4</xref>). It was found that individuals whose milk consumption increased during the pandemic period had higher levels of COVID-19 knowledge and fear (<italic>p</italic>=0.009; <italic>p</italic>=0.037, respectively). Those whose cheese consumption increased had higher levels of COVID-19 preventive behavior and fear (<italic>p</italic>=0.008; <italic>p</italic>=0.037, respectively). Additionally, individuals whose bread consumption decreased during the pandemic period had higher COVID-19 knowledge and misconceptions (<italic>p</italic>=0.014; <italic>p</italic>=0.004, respectively). Similarly, those whose consumption of chocolate, wafer, and biscuit decreased had higher COVID-19 knowledge and misconception scores (<italic>p</italic>=0.027; <italic>p</italic>=0.032, respectively), while individuals whose pastry dessert consumption decreased had higher misconception scores only (<italic>p</italic>=0.004) (<xref ref-type="table" rid="t04">Table 4</xref>).</p>
            <table-wrap id="t04">
               <label>Table 4</label>
               <caption>
                  <title>Changes in the consumption of some foods according to individuals' COVID-19 related knowledge, preventive behaviors, fear, and related misconception scores during the pandemic period.</title>
               </caption>
               <table frame="hsides" rules="groups">
                  <thead>
                     <tr align="center">
                        <th rowspan="2" align="left">Foods</th>
                        <th colspan="4" style="border-bottom-width:thin;border-bottom-style:solid">COVID-19</th>
                     </tr>
                     <tr align="center">
                        <th> Knowledge score<break/> (<overline><italic>X</italic></overline> ±SD)</th>
                        <th> Preventive behavior score<break/> (<overline><italic>X</italic></overline> ±SD)</th>
                        <th> Fear score<break/> (<overline><italic>X</italic></overline> ±SD)</th>
                        <th> Misconception scores<break/> (<overline><italic>X</italic></overline> ±SD)</th>
                     </tr>
                  </thead>
                  <tbody>
                     <tr align="left">
                        <td colspan="5">Milk and Dairy Products</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Milk Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td> 13.95±1.482<sup><xref ref-type="table-fn" rid="TFN07">a</xref></sup></td>
                        <td>8.09±2.100</td>
                        <td> 19.32±5.973<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                        <td>36.41±10.829</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td> 13.60±1.163<sup><xref ref-type="table-fn" rid="TFN07">b</xref></sup></td>
                        <td>8.34±1.409</td>
                        <td> 17.14±5.528<sup><xref ref-type="table-fn" rid="TFN07"><bold>b</bold></xref></sup></td>
                        <td>34.29±8.419</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td> 13.53±1.014<sup><xref ref-type="table-fn" rid="TFN07">b</xref></sup></td>
                        <td>8.20±1.455</td>
                        <td> 17.20±6.291<sup><xref ref-type="table-fn" rid="TFN07"><bold>ab</bold></xref></sup></td>
                        <td>35.73±7.967</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td><bold>0.009</bold></td>
                        <td>0.820</td>
                        <td><bold>0.037</bold></td>
                        <td>0.149</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Yogurt Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.70±1.156</td>
                        <td>8.48±1.268</td>
                        <td> 19.08±5.742<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                        <td>35.68±9.776</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.63±1.185</td>
                        <td>8.28±1.449</td>
                        <td> 17.21±5.423<sup><xref ref-type="table-fn" rid="TFN07"><bold>b</bold></xref></sup></td>
                        <td>34.30±8.365</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.57±1.550</td>
                        <td>7.46±2.659</td>
                        <td> 13.21±5.731<sup><xref ref-type="table-fn" rid="TFN07"><bold>c</bold></xref></sup></td>
                        <td>35.25±7.919</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.866</td>
                        <td>0.154</td>
                        <td>&lt;0.001</td>
                        <td>0.517</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Cheese Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.81±1.205</td>
                        <td> 8.51±1.217<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                        <td> 18.67±5.760<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                        <td>36.75±10.215</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.61±1.198</td>
                        <td> 8.31±1.439<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                        <td> 17.26±5.609<sup><xref ref-type="table-fn" rid="TFN07"><bold>b</bold></xref></sup></td>
                        <td>34.22±8.227</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.44±1.261</td>
                        <td> 7.20±2.739<sup><xref ref-type="table-fn" rid="TFN07"><bold>b</bold></xref></sup></td>
                        <td> 15.52±6.306<sup><xref ref-type="table-fn" rid="TFN07"><bold>b</bold></xref></sup></td>
                        <td>33.68±8.112</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.196</td>
                        <td><bold>0.008</bold></td>
                        <td><bold>0.037</bold></td>
                        <td>0.138</td>
                     </tr>
                     <tr align="center">
                        <td colspan="5">Vegetables</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Green Leafy Vegetables Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td> 36.11±8.840<sup><xref ref-type="table-fn" rid="TFN07">a</xref></sup></td>
                        <td>8.37±1.396</td>
                        <td>17.99±5.706</td>
                        <td>36.11±8.840</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td> 34.02±8.397<sup><xref ref-type="table-fn" rid="TFN07">b</xref></sup></td>
                        <td>8.22±1.627</td>
                        <td>17.16±5.666</td>
                        <td>34.02±8.397</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td> 32.53±11.286<sup><xref ref-type="table-fn" rid="TFN07">ab</xref></sup></td>
                        <td>8.11±1.792</td>
                        <td>16.95 ±6.704</td>
                        <td>32.53±11.286</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td><bold>0.003</bold></td>
                        <td>0.837</td>
                        <td>0.476</td>
                        <td>0.056</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Yellow Orange Vegetables Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td> 13.90±1.091<sup><xref ref-type="table-fn" rid="TFN07">a</xref></sup></td>
                        <td>8.24±1.507</td>
                        <td>17.32±5.594</td>
                        <td>35.72±9.211</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td> 13.52±1.195<sup><xref ref-type="table-fn" rid="TFN07">b</xref></sup></td>
                        <td>8.30±1.580</td>
                        <td>17.60±5.894</td>
                        <td>34.28±8.629</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td> 13.56±1.756<sup><xref ref-type="table-fn" rid="TFN07">ab</xref></sup></td>
                        <td>8.22±1.353</td>
                        <td>17.22±4.930</td>
                        <td>35.44±8.183</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td><bold>0.013</bold></td>
                        <td>0.556</td>
                        <td>0.834</td>
                        <td>0.224</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Fruit Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.78±1.285</td>
                        <td>8.22±1.616</td>
                        <td>17.58±5.980</td>
                        <td>36.45±10.058</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.57±1.167</td>
                        <td>8.32±1.547</td>
                        <td>17.48±5.700</td>
                        <td>34.18±7.904</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.70±1.190</td>
                        <td>8.22±1.365</td>
                        <td>17.35±5.490</td>
                        <td>34.07±9.455</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.118</td>
                        <td>0.398</td>
                        <td>0.962</td>
                        <td>0.308</td>
                     </tr>
                     <tr align="center">
                        <td colspan="5">Fats</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Spread Margarine Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>14.11±1.167</td>
                        <td>8.89±0.333</td>
                        <td>18.44±7.178</td>
                        <td> 36.67±5.196<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.58±1.203</td>
                        <td>8.15±1.726</td>
                        <td>17.05±5.501</td>
                        <td> 33.79±8.865<sup><xref ref-type="table-fn" rid="TFN07"><bold>ab</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.74±1.208</td>
                        <td>8.48±1.145</td>
                        <td>18.27±6.029</td>
                        <td> 36.62±8.639<sup><xref ref-type="table-fn" rid="TFN07"><bold>ac</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.165</td>
                        <td>0.150</td>
                        <td>0.154</td>
                        <td><bold>0.011</bold></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Butter Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.77±1.074</td>
                        <td>8.47±1.094</td>
                        <td>17.78±6.133</td>
                        <td> 36.19±8.468<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.61±1.210</td>
                        <td>8.25±1.643</td>
                        <td>17.27±5.499</td>
                        <td> 33.95±8.463<sup><xref ref-type="table-fn" rid="TFN07"><bold>b</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.62±1.386</td>
                        <td>8.11±1.613</td>
                        <td>18.18±6.351</td>
                        <td> 37.04±10.471<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.752</td>
                        <td>0.330</td>
                        <td>0.658</td>
                        <td><bold>0.037</bold></td>
                     </tr>
                     <tr align="center">
                        <td colspan="5">Cereals</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Bread Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td> 13.55±1.221<sup><xref ref-type="table-fn" rid="TFN07">a</xref></sup></td>
                        <td>8.38±1.475</td>
                        <td>17.16±5.440</td>
                        <td> 33.92±8.974<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td> 13.54±1.198<sup><xref ref-type="table-fn" rid="TFN07">a</xref></sup></td>
                        <td>8.31±1.521</td>
                        <td>17.50±5.646</td>
                        <td> 33.72±8.264<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td> 13.90±1.184<sup><xref ref-type="table-fn" rid="TFN07">b</xref></sup></td>
                        <td>8.17±1.626</td>
                        <td>17.68±6.114</td>
                        <td> 37.26±9.212<sup><xref ref-type="table-fn" rid="TFN07"><bold>b</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td><bold>0.014</bold></td>
                        <td>0.505</td>
                        <td>0.838</td>
                        <td><bold>0.004</bold></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Other Cereals Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.67±1.175</td>
                        <td>8.31±1.675</td>
                        <td>17.32±5.910</td>
                        <td> 34.89±11.476<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.63±1.169</td>
                        <td>8.27±1.531</td>
                        <td>17.41±5.609</td>
                        <td> 33.90±7.649<sup><xref ref-type="table-fn" rid="TFN07"><bold>ab</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.68±1.376</td>
                        <td>8.27±1.439</td>
                        <td>17.98±6.061</td>
                        <td> 37.94±8.554<sup><xref ref-type="table-fn" rid="TFN07"><bold>ac</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.716</td>
                        <td>0.819</td>
                        <td>0.702</td>
                        <td><bold>0.009</bold></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Red Meat Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.83±1.062</td>
                        <td>8.35±1.675</td>
                        <td>17.24±6.375</td>
                        <td>35.36±9.627</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.65±1.121</td>
                        <td>8.27±1.541</td>
                        <td>17.60±5.536</td>
                        <td>34.77±8.588</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.07±1.911</td>
                        <td>8.13±1.137</td>
                        <td>17.30±5.639</td>
                        <td>33.63±8.277</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.132</td>
                        <td>0.085</td>
                        <td>0.742</td>
                        <td>0.694</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Poultry Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.81±1.175</td>
                        <td>8.13±1.860</td>
                        <td>16.68±5.986</td>
                        <td>33.75±9.158</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.65±1.167</td>
                        <td>8.27±1.556</td>
                        <td>17.81±5.656</td>
                        <td>35.09±8.983</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.42±1.401</td>
                        <td>8.52±0.839</td>
                        <td>17.10±5.776</td>
                        <td>34.94±7.364</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.270</td>
                        <td>0.826</td>
                        <td>0.337</td>
                        <td>0.663</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Egg Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.73±1.075</td>
                        <td>8.23±1.643</td>
                        <td>17.53±5.487</td>
                        <td>34.20±8.545</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.58±1.152</td>
                        <td>8.28±1.563</td>
                        <td>17.42±5.874</td>
                        <td>34.97±8.871</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.74±1.879</td>
                        <td>8.48±0.851</td>
                        <td>17.77±6.026</td>
                        <td>36.23±9.458</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic>p</italic></td>
                        <td>0.120</td>
                        <td>0.775</td>
                        <td>0.902</td>
                        <td>0.362</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Nuts Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.76±1.240</td>
                        <td>8.22±1.740</td>
                        <td>17.75±5.457</td>
                        <td>34.95±9.023</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.57±1.214</td>
                        <td>8.29±1.452</td>
                        <td>17.45±6.009</td>
                        <td>34.57±8.590</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.57±0.843</td>
                        <td>8.57±0.728</td>
                        <td>16.22±5.248</td>
                        <td>35.87±9.435</td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic>p</italic></td>
                        <td>0.166</td>
                        <td>0.923</td>
                        <td>0.448</td>
                        <td>0.640</td>
                     </tr>
                     <tr align="center">
                        <td colspan="5">Sugary Foods</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Pastry Desserts Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td>13.67±1.138</td>
                        <td>8.42±1.317</td>
                        <td>17.63±5.989</td>
                        <td> 35.21±9.194<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td>13.62±1.115</td>
                        <td>8.09±1.866</td>
                        <td>17.11±5.642</td>
                        <td> 33.32±8.469<sup><xref ref-type="table-fn" rid="TFN07"><bold>ab</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td>13.66±1.387</td>
                        <td>8.46±1.058</td>
                        <td>17.97±5.704</td>
                        <td> 36.79±8.657<sup><xref ref-type="table-fn" rid="TFN07"><bold>ac</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic> p</italic></td>
                        <td>0.645</td>
                        <td>0.334</td>
                        <td>0.631</td>
                        <td><bold>0.004</bold></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Chocolate, Wafer, Biscuit Consumption</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                        <td>&nbsp;</td>
                     </tr>
                     <tr align="center">
                        <td align="left">Increased</td>
                        <td> 13.39±1.310<sup><xref ref-type="table-fn" rid="TFN07">a</xref></sup></td>
                        <td>8.14±1.743</td>
                        <td>17.47±5.730</td>
                        <td> 34.62±9.483<sup><xref ref-type="table-fn" rid="TFN07"><bold>a</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Unchanged</td>
                        <td> 13.81±1.061<sup><xref ref-type="table-fn" rid="TFN07">b</xref></sup></td>
                        <td>8.19±1.702</td>
                        <td>17.55±5.751</td>
                        <td> 33.83±8.266<sup><xref ref-type="table-fn" rid="TFN07"><bold>ab</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left">Decreased</td>
                        <td> 13.68±1.255<sup><xref ref-type="table-fn" rid="TFN07">ab</xref></sup></td>
                        <td>8.58±0.876</td>
                        <td>17.42±5.791</td>
                        <td> 36.54±8.659<sup><xref ref-type="table-fn" rid="TFN07"><bold>ac</bold></xref></sup></td>
                     </tr>
                     <tr align="center">
                        <td align="left"><italic>p</italic></td>
                        <td><bold>0.027</bold></td>
                        <td>0.105</td>
                        <td>0.926</td>
                        <td><bold>0.032</bold></td>
                     </tr>
                  </tbody>
               </table>
               <table-wrap-foot>
                  <fn>
                     <p>Note: Calculated with Kruskal-Wallis.</p>
                  </fn>
                  <fn id="TFN07">
                     <label>abc</label>
                     <p>Values denoted by different letters are significantly different from each other in the column (Mann-Whitney U <italic>post hoc</italic> test applied).</p>
                  </fn>
                  <fn>
                     <p>Statistically significant <italic>p</italic> values are shown in bold.</p>
                  </fn>
               </table-wrap-foot>
            </table-wrap>
         </sec>
      </sec>
      <sec sec-type="discussion">
         <title>DISCUSSION</title>
         <p>This study aimed to assess the complex interplay between COVID-19-related knowledge, preventive behaviors, fear, misconceptions, and their impact on healthcare workers’ health behaviors, particularly nutritional habits, and included a total of 354 volunteer adult healthcare workers. In the fight against COVID-19, it is crucial to evaluate the fear, knowledge, preventive behaviors, and misconceptions of healthcare workers regarding the pandemic, as they are on the front lines and at high risk of contracting the disease [<xref ref-type="bibr" rid="B22">22</xref>]. The findings of this study are expected to provide valuable insights into the changing dietary habits of healthcare workers during the pandemic, as well as their fear, knowledge, preventive behaviors, and misconceptions related to the virus. This information could help guide the systematic design of policies for infection prevention, protection, and control.</p>
         <p>During the pandemic, healthcare workers have been the most psychologically, socially, and mentally affected group due to the additional responsibilities placed on their duties. Studies have reported that a significant portion of healthcare workers are at high risk for developing poor mental health during this period [<xref ref-type="bibr" rid="B23">23</xref>]. Quarantine measures and restrictions have contributed to mood disorders, depression, anxiety, fear, and stress in individuals [<xref ref-type="bibr" rid="B24">24</xref>]. Additionally, there has been an increase in the number of people seeking treatment for anxiety and depressive disorders [<xref ref-type="bibr" rid="B25">25</xref>]. Changing quarantine protocols, restrictions, lack of information, long working hours, and insufficient personal protective equipment have physically and emotionally exhausted healthcare workers, heightening their fears of contracting the disease and even leading to resignations [<xref ref-type="bibr" rid="B26">26</xref>-<xref ref-type="bibr" rid="B28">28</xref>]. A study conducted by Labrague et al. (2021) reported a mean score of 19.92±6.15 on the COVID-19 fear scale [<xref ref-type="bibr" rid="B29">29</xref>]. In this study, the COVID-19 fear scale score was 17.49±5.73 (<xref ref-type="table" rid="t01">Table 1</xref>). Compared to studies on fear levels in the general population, the mean score in this study is like some studies but higher than that in others [<xref ref-type="bibr" rid="B30">30</xref>,<xref ref-type="bibr" rid="B31">31</xref>]. Among healthcare workers, anxiety and fear can negatively impact their health, well-being, and job performance during a pandemic crisis [<xref ref-type="bibr" rid="B15">15</xref>]. To effectively contribute during the pandemic, healthcare workers must prioritize and maintain their psychological and mental health [<xref ref-type="bibr" rid="B32">32</xref>].</p>
         <p>A study conducted in Bangladesh found that COVID-19 fear is strongly associated with women in both the general population and healthcare workers [<xref ref-type="bibr" rid="B33">33</xref>]. In this study, not only were the mean scores for COVID-19 fear and misconceptions high, but women also have higher scores for both fear and misconceptions compared to their male counterparts (<xref ref-type="table" rid="t02">Table 2</xref>). Similarly, a study by Feleke et al. also found that misconceptions were more prevalent among women than men [<xref ref-type="bibr" rid="B34">34</xref>]. Although men face a higher risk of morbidity and mortality from the pandemic, women report higher levels of fear [<xref ref-type="bibr" rid="B35">35</xref>]. Another study indicated that women experience higher levels of fatigue, anxiety, and depression compared to men [<xref ref-type="bibr" rid="B28">28</xref>]. This has been attributed to women bearing a heavier burden than men during the pandemic, including household chores, childcare, and family responsibilities, in addition to their professional duties [<xref ref-type="bibr" rid="B36">36</xref>]. However, the finding that female medical students report higher levels of fear than their male counterparts suggests that, beyond work-related pressures, other gender-related factors may also contribute to fear [<xref ref-type="bibr" rid="B37">37</xref>]. It has been suggested that women, due to a more sensitive hypothalamic-pituitary axis compared to men, are more prone to fear. This highlights the need for greater focus on women’s mental health and the development of targeted strategies [<xref ref-type="bibr" rid="B28">28</xref>]. Among healthcare workers, the most significant factors associated with COVID-19 fear are, in order: the fear of infecting family members, becoming infected themselves, being quarantined, not receiving medical treatment, and death [<xref ref-type="bibr" rid="B26">26</xref>]. Indeed, this study found that married individuals exhibited significantly higher preventive behaviors (<xref ref-type="table" rid="t02">Table 2</xref>), suggesting that the concern about infecting family members may trigger more preventive actions among married individuals.</p>
         <p>During the COVID-19 pandemic, psychological distress including anxiety, depression, stress, and fear – among Jordanian healthcare workers was significantly associated with being over 40 years old and having more clinical experience [<xref ref-type="bibr" rid="B38">38</xref>]. In this study, COVID-19 fear was also found to be associated with increasing age. An increase of 1 unit in age resulted in a 0.060 increase in the fear scale score (<xref ref-type="table" rid="t03">Table 3</xref>). Similarly, in the study by Kabasakal et al., the COVID-19 fear score for healthcare workers aged 45 and over was found to be 4.041 times higher compared to individuals in the 18-24 age group. In healthcare workers, the increase in age can be considered to parallel work experience, knowledge, fear, and coping abilities [<xref ref-type="bibr" rid="B35">35</xref>].</p>
         <p>To reduce the spread of the virus, the level of knowledge among healthcare workers is directly associated with strict preventive behaviors. Several studies have investigated the level of COVID-19 knowledge among healthcare workers and found it to be high [<xref ref-type="bibr" rid="B04">4</xref>,<xref ref-type="bibr" rid="B39">39</xref>]. Ebrahimi et al. (2023) found that most healthcare workers (73.6%) had high levels of knowledge and preventive behavior [<xref ref-type="bibr" rid="B40">40</xref>]. In this study, most healthcare workers found to have high levels of COVID-19 knowledge (95.8%) and engaged in preventive behaviors to ensure protection (91.8%) (<xref ref-type="table" rid="t01">Table 1</xref>). This suggests that professional training received by individuals may have contributed to these results. In contrast, most healthcare workers in Pakistan who reported high levels of fear (88.1%) indicated that health education on topics such as infection control measures in COVID-19 centers and maintaining good hygiene practices is necessary to prevent the spread of infection [<xref ref-type="bibr" rid="B26">26</xref>]. Healthcare workers who are in direct contact with patients must protect their own health while providing care. A lack of information about the pandemic can significantly contribute to the increase in case numbers and hinder healthcare workers from protecting their own health. It is well-established that the level of knowledge directly influences susceptibility to the disease and the adoption of preventive behaviors [<xref ref-type="bibr" rid="B27">27</xref>]. Although the literature suggests that gender is a factor associated with knowledge, this study found no significant difference in COVID-19 knowledge levels between genders among healthcare workers (<xref ref-type="table" rid="t02">Table 2</xref>) [<xref ref-type="bibr" rid="B41">41</xref>]. The educational level is a significant factor associated with knowledge levels. Several studies have shown that as the educational level increases, knowledge about COVID-19 also significantly improves [<xref ref-type="bibr" rid="B41">41</xref>,<xref ref-type="bibr" rid="B42">42</xref>]. However, Taghrir et al. [<xref ref-type="bibr" rid="B43">43</xref>] did not find a significant difference between educational level and COVID-19 knowledge. Similarly, in this study, although COVID-19 knowledge increases with higher educational levels, the difference is not statistically significant (<xref ref-type="table" rid="t02">Table 2</xref>).</p>
         <p>Healthcare workers’ direct involvement in patient care increases their risk of contracting COVID-19 compared to the general population [<xref ref-type="bibr" rid="B44">44</xref>]. In this study, a statistically significant correlation was found between COVID-19 fear and knowledge, preventive behaviors, and misconceptions (<xref ref-type="table" rid="t03">Table 3</xref>). It can be inferred that elevated levels of COVID-19 fear trigger increased knowledge and misconceptions, as well as the adoption of preventive measures. Misconceptions are likely to be fueled by misinformation, disinformation, myths, low literacy, and limited access to reliable sources, such as healthcare services and professionals [<xref ref-type="bibr" rid="B45">45</xref>]. During the pandemic, the presence of various information sources about the outbreak, coupled with the uncertainty regarding disease treatment, may contribute to misconceptions, which in turn could heighten fear among individuals [<xref ref-type="bibr" rid="B46">46</xref>]. A statistically significant difference was found between the fear of contracting the disease and COVID-19 knowledge levels in medical students. Those with a low level of knowledge reported higher levels of fear of infection, while those with a high level of knowledge expressed a lower level of fear [<xref ref-type="bibr" rid="B43">43</xref>,<xref ref-type="bibr" rid="B47">47</xref>]. Indeed, in this study, individuals with higher levels of COVID-19 fear were found to have greater knowledge levels, more preventive behaviors, and increased misconceptions (Table 3).</p>
         <p>While some studies reported an increase in body weight due to the intense work pace of healthcare workers during the pandemic period, along with social restrictions and quarantine measures introduced to reduce the spread of the disease, other studies found no change in body weight [<xref ref-type="bibr" rid="B48">48</xref>-<xref ref-type="bibr" rid="B50">50</xref>]. In a study conducted with healthcare workers in Türkiye, it was reported that 51.4% of participants experienced weight gain, 17.8% had weight loss, and 30.9% reported no change in body weight [<xref ref-type="bibr" rid="B07">7</xref>]. In this study, during the pandemic period, 40.4% of healthcare workers reported weight gain, 25.1% reported weight loss, and 33.3% reported no change in weight (<xref ref-type="table" rid="t01">Table 1</xref>). While changes in body weight serve as an indicator of nutritional status, body fat percentage and its distribution are crucial for maintaining health and preventing the risk of chronic diseases. Although this study did not assess body composition, it is important to note that muscle loss can occur even in individuals who experience no change in body weight. A study conducted with healthcare workers in Brazil found that, during the post-pandemic period, there was a significant increase in body weight, waist circumference, and body fat percentage, while lean mass decreased by an average of 1.4 kg [<xref ref-type="bibr" rid="B51">51</xref>].</p>
         <p>The pandemic disrupted healthcare workers’ professional activities and daily routines [<xref ref-type="bibr" rid="B52">52</xref>]. Gomes et al. [<xref ref-type="bibr" rid="B52">52</xref>] observed an increase in body weight among physicians due to reduced physical activity levels caused by social distancing measures. Factors such as stress related to social distancing, fear of contamination, and reduced income can lead to changes in dietary and physical activity habits [<xref ref-type="bibr" rid="B53">53</xref>,<xref ref-type="bibr" rid="B54">54</xref>]. Oliver et al. [<xref ref-type="bibr" rid="B55">55</xref>] reported that a reduction in physical activity was a contributing factor to the increase in body weight during the COVID-19 pandemic. However, some studies suggest that negative changes in dietary habits, rather than physical inactivity, have had a more significant impact [<xref ref-type="bibr" rid="B56">56</xref>,<xref ref-type="bibr" rid="B57">57</xref>]. The COVID-19 pandemic was a period of increased incidence of eating behavior disorders in individuals [<xref ref-type="bibr" rid="B58">58</xref>]. A study conducted during the pandemic found a positive association between night eating syndrome and body mass index [<xref ref-type="bibr" rid="B59">59</xref>].</p>
         <p>It is known that eating habits are influenced by psychological symptoms such as fear, depression, anxiety, and stress, and it has been observed that these conditions, which developed during the pandemic, affected eating habits and diet quality [<xref ref-type="bibr" rid="B60">60</xref>,<xref ref-type="bibr" rid="B61">61</xref>]. COVID-19 fear, increased workload, stress levels, restrictions, long shifts, and emotional eating have been reported to lead to an increase in fast food and processed food consumption, resulting in higher dietary intake of energy, fat, and simple sugars [<xref ref-type="bibr" rid="B07">7</xref>,<xref ref-type="bibr" rid="B51">51</xref>]. A study conducted in Türkiye during the pandemic found that healthcare workers had higher levels of emotional eating compared to the general population [<xref ref-type="bibr" rid="B62">62</xref>]. Increased fear and stress during the pandemic may lead to changes in eating habits. Additionally, losing a relative to COVID-19 has been identified as an independent risk factor influencing changes in dietary habits among healthcare workers [<xref ref-type="bibr" rid="B07">7</xref>].</p>
         <p>On the other hand, some studies have reported that healthcare workers adopted healthier eating habits as a coping mechanism to maintain their health during the pandemic. Increased awareness of health and immunity led healthcare workers to consume more fruits and vegetables [<xref ref-type="bibr" rid="B07">7</xref>]. Additionally, for some healthcare workers, the transition to remote work provided more opportunities to prepare or eat meals at home. A study conducted with healthcare workers in Qatar found that, compared to before the pandemic, 55.6% of participants ate out at restaurants less frequently, while 19.4% either did not eat out at all or exclusively consumed home-cooked meals. Furthermore, during the pandemic, the consumption of foods such as fish, red meat, jam, sugary drinks, sugar, ice cream, and pickles increased, while the consumption of sugar-free beverages, sweets, cakes, chocolates, and nuts decreased [<xref ref-type="bibr" rid="B63">63</xref>]. In this study, a significant relationship was found between high COVID-19 misconception scores and a decrease in the consumption of pastries, chocolate, wafers, and biscuits during the pandemic (<xref ref-type="table" rid="t04">Table 4</xref>).</p>
         <p>Yaman and Hocaoğlu (2023) reported that during the pandemic, 43.2% of healthcare workers in Türkiye increased their consumption of fresh vegetables, fruits, ginger, turmeric, onions, and garlic, believing these foods helped protect them from illnesses [<xref ref-type="bibr" rid="B07">7</xref>]. Specific nutrients, including omega-3 fatty acids, vitamins C and D and other antioxidant compounds found in the Mediterranean diet foods, such as fish, olive oil, nuts, fruits and vegetables, can support the optimal function of the immune system [<xref ref-type="bibr" rid="B64">64</xref>]. Doğan et al. [<xref ref-type="bibr" rid="B65">65</xref>] reported that during the pandemic, Turkish healthcare workers increased their consumption of frozen foods, canned foods, fresh fruits, dried fruits, nuts, tea/coffee, red meat, and honey products. The study by Molina-Montes et al. [<xref ref-type="bibr" rid="B66">66</xref>]) emphasizes that quarantine measures led to an improvement in dietary habits, increasing adherence to the Mediterranean diet across 16 European countries. About 10-15% of participants reported an increase in their consumption of olive oil, legumes and fish during the lockdown, while approximately 20-25% reported consuming more fruits and vegetables. In contrast, their consumption of red meat, soft drinks and pastries generally decreased. In this study, healthcare workers with higher average COVID-19 knowledge scores were found to have increased their consumption of milk, green leafy vegetables, and yellow-orange vegetables, while reducing their intake of bread, chocolate, wafers, and biscuits (<xref ref-type="table" rid="t04">Table 4</xref>). Similarly, among healthcare workers on the front lines of patient care, healthy eating behaviors have been identified as an independent determinant of COVID-19 fear. Additionally, it has been shown that healthcare workers with higher healthy eating behavior scores e lower levels of COVID-19 fear [<xref ref-type="bibr" rid="B67">67</xref>]. Among healthcare workers in Vietnam, a state of well-being has been linked to healthy eating habits, regular exercise, and adherence to COVID-19 preventive measures [<xref ref-type="bibr" rid="B68">68</xref>]. This study found a significant relationship between COVID-19 preventive behaviors and an increase in only cheese consumption (<xref ref-type="table" rid="t04">Table 4</xref>). Similarly, this study found that, although no changes were observed across all food groups, healthcare workers who made positive changes in their eating habits due to the COVID-19 pandemic had higher scores in knowledge, preventive behaviors, fear, and misconceptions. The results underscore the need for additional interventions to promote health and well-being among healthcare workers during the pandemic. Further research is needed to expand the investigation beyond healthcare settings to other working environments affected by the pandemic. Comparing the unique challenges faced by healthcare workers with findings from remote workers, as highlighted by several studies, could provide a more comprehensive understanding of how COVID-19 influenced dietary habits, stress, lifestyle behaviors, and other factors. Such comparisons could inform targeted interventions for various occupational groups during future health crises [<xref ref-type="bibr" rid="B69">69</xref>-<xref ref-type="bibr" rid="B73">73</xref>].</p>
      </sec>
      <sec sec-type="conclusions">
         <title>CONCLUSION</title>
         <p>During the pandemic, healthcare workers have shouldered significant responsibilities. The findings indicate that, although not statistically significant, healthcare workers, especially women, possess good knowledge and positive preventive behaviors towards COVID-19. The results suggest that interventions should pay closer attention to men and older healthcare workers. Unhealthy eating behaviors may contribute to more severe issues of overweight and obesity, potentially leading to a greater burden of chronic diseases in later life. This study focuses on the impact of the pandemic, providing valuable lessons for designing interventions aimed at improving the well-being of healthcare workers and supporting the sustainability of health systems. Understanding the current state of dietary patterns will be valuable for numerous stakeholders, including healthcare professionals and policymakers, as it allows for consideration of potential outcomes when making future decisions. The results of this study provide valuable insights for public health, informing both clinical practice and policy-making during the unprecedented pandemic period. Further research is needed to enable policymakers to develop strategies, and intervention plans for healthcare workers, with particular attention to high-risk groups.</p>
      </sec>
   </body>
   <back>
      <ack>
         <title>ACKNOWLEDGEMENTS</title>
         <p>We thank the volunteers who participated in the study.</p>
      </ack>
      <fn-group>
         <fn fn-type="other">
            <label>How to cite this article:</label>
            <p>Rakıcıoğlu N, Kocabaş S, Ulusoy-Gezer HG, Öznacar T, Sanlier N. eyond the pandemic: shifts in healthcare workers’ nutritional habits and their relationship with COVID-19 fear, knowledge, misconception and preventive behaviors. Rev Nutr. 2025;38:e240147. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/1678-9865202538e240147">https://doi.org/10.1590/1678-9865202538e240147</ext-link></p>
         </fn>
      </fn-group>
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