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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2022.930316</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association of Non-alcoholic Fatty Liver Disease With Salt Intake and Dietary Diversity in Chinese Medical Examination Adults Aged 18&#x02013;59 Years: A Cross-Sectional Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Xiaofei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1786896/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/638094/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1790764/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Chun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1798310/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Lijun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1574602/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Luo</surname> <given-names>Yating</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1831502/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Jiangang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Duan</surname> <given-names>Yinglong</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1619070/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Xie</surname> <given-names>Jianfei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1566612/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Health Management Center, The Third Xiangya Hospital of Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Xiangya Nursing School, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Nursing, The Third Xiangya Hospital of Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Nenad Naumovski, University of Canberra, Australia</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Zahra Yari, National Nutrition and Food Technology Research Institute, Iran; Yang Xia, ShengJing Hospital of China Medical University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Yinglong Duan <email>yinglongduan&#x00040;outlook.com</email></corresp>
<corresp id="c002">Jianfei Xie <email>xiejianfei&#x00040;csu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Clinical Nutrition, a section of the journal Frontiers in Nutrition</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>07</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>930316</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>04</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Luo, Li, Zhou, Zhang, Li, Luo, Wang, Duan and Xie.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Luo, Li, Zhou, Zhang, Li, Luo, Wang, Duan and Xie</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>Given the significance of dietary factors in the development of non-alcoholic fatty liver disease (NAFLD). We conducted a cross-sectional study to investigate the association of NAFLD with salt intake and dietary diversity in a medical examination population aged 18&#x02013;59 years.</p>
</sec>
<sec>
<title>Methods</title>
<p>Data from two Chinese health management centers were utilized between January 2017 and December 2019. The general information, laboratory tests, lifestyle habits, and diet of the participants were all evaluated. Based on alcohol consumption and abdominal ultrasound results, a total of 23,867 participants were divided into the NAFLD (<italic>n</italic> = 7,753) and control (<italic>n</italic> = 16,114) groups. Salt intake and dietary diversity were calculated separately for study participants using the spot urine method and dietary diversity scores (DDS). The multilevel logistic model and subgroup analysis were used to analyze the relationship between salt intake, dietary diversity, and NAFLD.</p>
</sec>
<sec>
<title>Results</title>
<p>We found that the prevalence of NAFLD was 32.48%. Salt intake was associated with increased NAFLD (Q2 vs. Q1: OR = 1.201, 95% CI 1.094-1.317, <italic>P</italic> &#x0003C; 0.001; Q3 vs. Q1: OR = 1.442, 95% CI 1.316-1.580, <italic>P</italic> &#x0003C; 0.001; Q4 vs. Q1: OR = 1.604, 95% CI 1.465-1.757, <italic>P</italic> &#x0003C; 0.001), whereas sufficient dietary diversity was a protective factor for NAFLD (Sufficient DDS vs. Insufficient DDS: OR: 0.706, 95% CI 0.517-0.965, <italic>P</italic> &#x0003C; 0.05). The effects of salt intake and dietary diversity on NAFLD were equally stable in the subgroup analysis.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>We can conclude that NAFLD is highly prevalent in medical examination adults aged 18-59 years in China. Furthermore, the risk of salt intake for NAFLD and the protective effect of dietary diversity on NAFLD should be taken into account in the management of NAFLD.</p>
</sec></abstract>
<kwd-group>
<kwd>non-alcoholic fatty liver disease</kwd>
<kwd>salt intake</kwd>
<kwd>dietary diversity</kwd>
<kwd>adults</kwd>
<kwd>medical examinations</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="13"/>
<word-count count="8879"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Non-alcoholic fatty liver disease (NAFLD) is a metabolic syndrome characterized by abnormal accumulation of fatty material in the liver (<xref ref-type="bibr" rid="B1">1</xref>). NAFLD has become the leading cause of chronic liver disease worldwide, accounting for &#x0007E;25% of the prevalence (<xref ref-type="bibr" rid="B2">2</xref>). More than 30% of the population in the United States is affected by NAFLD (<xref ref-type="bibr" rid="B3">3</xref>). The growth rate of NAFLD in China is expected to reach its highest point in 2030 (<xref ref-type="bibr" rid="B4">4</xref>). NAFLD is associated with adverse outcomes of liver diseases and chronic conditions such as cardiovascular disease and diabetes, making it significant global health and economic burden (<xref ref-type="bibr" rid="B5">5</xref>). The pathogenesis of NAFLD is complex, and metabolic disorder syndromes such as obesity, hypertension, and dyslipidemia are the main causative agents of NAFLD (<xref ref-type="bibr" rid="B3">3</xref>). Increasing evidence also suggests that dietary intake plays a vital role in developing NAFLD (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>High salt intake is a major dietary risk factor, resulting in &#x0007E;1.8 million deaths worldwide in 2019 (<xref ref-type="bibr" rid="B8">8</xref>). A large-scale study of the global impact of diet on health noted that the daily salt intake of the Chinese population exceeds that of other countries and regions (<xref ref-type="bibr" rid="B9">9</xref>). Evidence has shown that reducing salt intake can prevent and control obesity and chronic conditions such as hypertension and cardiovascular disease (<xref ref-type="bibr" rid="B10">10</xref>). As a result, it is essential to focus on salt intake in the Chinese chronic disease population and analyze its association. Current studies on salt intake are usually conducted by self-perception reports and 24-h urine sodium measurements. Self-perception is less reliable, while 24-h urine sodium measurement is practically difficult to perform and is more suitable for application in small sample sizes (<xref ref-type="bibr" rid="B11">11</xref>). Casual spot urine estimation of 24-h urine sodium is the more commonly used method for estimating the level of salt intake in the population (<xref ref-type="bibr" rid="B12">12</xref>). Sodium is an essential nutrient for the body, but in asymptomatic adults, higher dietary sodium intake as measured by 24-h urine sodium can increase the development of NAFLD by contributing to obesity (<xref ref-type="bibr" rid="B13">13</xref>). Shen et al. (<xref ref-type="bibr" rid="B14">14</xref>) found that perceived high salt intake was also associated with a higher risk of NAFLD. However, no studies have directly explored casual spot urine estimates of salt intake and NAFLD in the Chinese population aged 18&#x02013;59 years.</p>
<p>In addition, since most nutrients may interact with each other in the diet, it is not enough to consider the association of a single nutrient or food with NAFLD (<xref ref-type="bibr" rid="B15">15</xref>). Several previous studies have examined various dietary patterns and the risk of NAFLD (<xref ref-type="bibr" rid="B16">16</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). However, little has been reported on the relationship between dietary diversity and NAFLD. Dietary diversity is an essential indicator for evaluating the dietary quality index (<xref ref-type="bibr" rid="B20">20</xref>). Being based on food groups is more helpful in predicting nutritional adequacy than individual food indicators, although food groups vary considerably across studies (<xref ref-type="bibr" rid="B21">21</xref>). It was proposed that dietary diversity was positively correlated with micronutrient adequacy (<xref ref-type="bibr" rid="B22">22</xref>). Besides, a study conducted in Iran showed that higher dietary diversity was associated with higher quality dietary intake (<xref ref-type="bibr" rid="B23">23</xref>). It may be thought that subjects with higher quality diets may follow a healthier diet and therefore may be negatively associated with NAFLD. Currently, there is limited evidence, small sample sizes, and inconsistent findings regarding the relationship between dietary diversity and NAFLD, and no studies on dietary diversity and the risk of NAFLD in Chinese populations have been identified.</p>
<p>Salt intake and dietary diversity, as single nutrient and overall dietary quality evaluation indicators, respectively, may be combined to better evaluate the role of dietary factors on NAFLD. Therefore, this study intends to investigate the relationship between salt intake, dietary diversity, and NAFLD in Chinese adults aged 18&#x02013;59 years by analyzing data from medical examination centers and providing reference evidence for further development of dietary management guidelines for NAFLD.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Design and Participants</title>
<p>Data for this cross-sectional survey were obtained from two general tertiary care medical examination centers in China. A total of 49,420 adults underwent health examinations from 1 January 2017 to 31 December 2019. Inclusion criteria were (1) age between 18 and 59 years and (2) completion of all general information, clinical and laboratory tests, lifestyle habits and dietary surveys, and abdominal ultrasonography. Exclusion criteria included (1) use of hypoglycemic and hypolipidemic drugs; (2) significant abnormal liver function and other diseases affecting liver fat content, hematologic diseases, kidney disease, and those with existing related chronic diseases; and (3) history of excessive alcohol consumption (alcohol equivalent ethanol consumption &#x02265;210 g/week for men and &#x02265;140 g/week for women) (<xref ref-type="bibr" rid="B24">24</xref>). All included participants were divided into the NAFLD group and the control group by abdominal ultrasound results. After data cleaning, 23,867 participants were finally enrolled, and the detailed participant selection process is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>. Ethical approval for the study was obtained from the relevant hospitals (No. 2020-S587), and all participants voluntarily signed a written informed consent form.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flowchart of the study. BMI, body mass index; FBG, fasting blood glucose; TC, total cholesterol; TG, triglycerides; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; NAFLD, non-alcoholic fatty liver disease.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-930316-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Data Collection and Measurements</title>
<sec>
<title>General Characteristics, Clinical and Laboratory Tests, and Lifestyle Habits</title>
<p>General characteristics were collected, including age and sex. Age was divided into the youth group (18&#x02013;44 years) and the middle-aged group (45&#x02013;59 years) according to the World Health Organization&#x00027;s classification of the population.</p>
<p>Clinical and laboratory tests were examined by uniformly trained professionals using nationally certified instruments after an overnight fast, including height and weight and blood tests. Body mass index (BMI) was calculated as follows: weight (kg)/height<sup>2</sup> (m<sup>2</sup>). BMI was classified according to the Chinese health industry standards into lean, BMI &#x0003C; 18.5 kg/m<sup>2</sup>; normal, BMI between 18.5&#x02013;23.9 kg/m<sup>2</sup>; overweight, 24.0&#x02013;27.9 kg/m<sup>2</sup>; and obese, BMI &#x02265; 28 kg/m<sup>2</sup> (<xref ref-type="bibr" rid="B25">25</xref>). Blood indicators measured participants&#x00027; fasting blood glucose (FBG), total cholesterol (TC), triacylglycerol (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). Hyperglycemia was defined as FBG &#x02265; 7.0 mmol/L (<xref ref-type="bibr" rid="B26">26</xref>). Dyslipidemia was considered as meeting one of the conditions, TC &#x02265; 5.2 mmol/L, TG &#x02265; 1.7 mmol/L, LDL-C &#x02265; 3.4 mmol/L, or HDL-C &#x0003C; 1.0 mmol/L (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>The lifestyle habits were collected through self-report by participants. The questionnaire consisted of four components: alcohol drinking, current smoking, physical activity, and dietary habits. Alcohol drinking was defined as those who consumed &#x0003C;210 g/week of alcohol equivalent for men and &#x0003C;140 g/week for women (<xref ref-type="bibr" rid="B24">24</xref>). Never smoked and quit smoking were classified as non-smoking. Physical activity assessed whether individuals exercised in their leisure time and was defined as &#x0201C;yes&#x0201D; &#x02265;3 times/week for &#x02265;30 mins each time (<xref ref-type="bibr" rid="B28">28</xref>). In addition, five common related risky diet habits were investigated: meals on time, overeating, socializing, coffee, and sugary beverages, with a &#x0201C;yes&#x0201D; or &#x0201C;no&#x0201D; response for each section.</p>
</sec>
<sec>
<title>Assessment of Salt Intake</title>
<p>The salt intake of participants was estimated by the spot urine sodium method. It is convenient, operational, and currently recognized as one of the reliable indicators of salt intake (<xref ref-type="bibr" rid="B11">11</xref>). Spot urine samples were collected from the participants, and urine creatinine, sodium, and potassium concentrations were measured using the ion electrode method. Then, the 24-h urine sodium excretion was estimated using Tanaka&#x00027;s (<xref ref-type="bibr" rid="B29">29</xref>) formula to infer the salt intake.</p>
</sec>
<sec>
<title>Dietary Diversity Scores</title>
<p>The dietary diversity was captured by the dietary diversity score (DDS), which has been well-validated and widely used in the Chinese population (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The DDS was developed according to the WHO and the Chinese Dietary Guidelines and the Balanced Diet Pagoda and assessed the consumption of nine food groups: grains, vegetables, fruits, livestock meat, fish and shrimp, eggs, milk and dairy products, beans, and oils and fats (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). The calculation of DDS was based on participants&#x00027; recall of the number of food groups consumed in the past three days, with one point for each food group consumed, without counting the frequency or quantity of intake. The scores ranged from 0 to 9 and could be divided into three levels (<xref ref-type="bibr" rid="B30">30</xref>): insufficient (score of 0&#x02013;3), moderate (score of 4&#x02013;6), and sufficient (score of 7&#x02013;9).</p>
</sec>
<sec>
<title>Determination of NAFLD</title>
<p>The ultrasound diagnostic criteria for NAFLD were referenced from the Chinese Guidelines for the Treatment of NAFLD (2018 Updated Version) (<xref ref-type="bibr" rid="B24">24</xref>). First, participants who already had abnormal liver function or disease affecting liver fat content were excluded, as well as those who consumed alcohol &#x02265;210 g/week for men and &#x02265;140 g/week for women. Next, qualified physicians performed fasting abdominal ultrasound examinations on the examinee and issued a report. The findings of the report were signed by the responsible physician and entered into the system. Depending on the reported results, participants were divided into two groups: NAFLD patients and controls.</p>
</sec>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Statistics and analysis were conducted using SPSS version 25.0. Exploratory analysis was used to test normality for continuous variables. Descriptive statistics were expressed as medians [interquartile range (IQR)] or frequencies (percentages). The chi-square tests and Mann&#x02013;Whitney tests were used to determine whether the participants&#x00027; characteristics, clinical laboratory tests, and diet differed among patients with NAFLD. The direct correlation between salt intake, dietary diversity, and NAFLD was tested by the Mann&#x02013;Whitney test, chi-square test, and Kruskal&#x02013;Wallis test. Multilevel binary logistic regression analysis assessed the relationship between salt intake, dietary diversity, and NAFLD by constructing four models controlling sequentially for confounding variables. The crude model was the unadjusted model; Model 1 added age and sex; Model 2 added clinical and laboratory results on BMI, hyperglycemia, and dyslipidemia to Model 1; and Model 3 was a complete model with lifestyle habits including alcohol drinking, current smoking, physical activity, meals on time, overeating, socializing, coffee, and sugary beverages added to Model 2. Subgroup analysis was then performed by age, sex, BMI, hyperglycemia, dyslipidemia, alcohol drinking, current smoking, physical exercise, socializing, sugary beverages, and salt intake/DDS to further explore the relationship between salt intake, dietary diversity, and NAFLD. The odds ratio (OR) and 95% confidence interval (95% CI) were calculated, and <italic>P</italic> &#x0003C; 0.05 was considered significant for all analyses.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Participants&#x00027; Characteristics and the Prevalence of NAFLD</title>
<p>Of the 23,867 adults aged 18&#x02013;59 years included in this study, 7,753 participants had NAFLD, with an incidence of 32.48% (see <xref ref-type="table" rid="T1">Table 1</xref>). The majority of participants were assessed at the medical examination center 1 (91.4%). The age of participants had a median and IQR of [43 (35, 50)]; 56.0% of participants were aged 18&#x02013;44 years; 45.6% were female. Overweight or obese individuals made up 47.1% of participants, and more than half of participants had abnormal lipids (56.4%), while a mere 3.4% were hyperglycemia. Concerning lifestyle, most participants did not drink alcohol (72.9%), did not smoke (77.7%), did not overeat (93.6%), and did not socialize (80.3%). Physical exercise, meals on time, and non-sugary beverages accounted for the majority of participants, at 66.5%, 65.5%, and 51.7%, respectively. Only 27.5% of the participants drank coffee.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Basic characteristics of study participants stratified by NAFLD.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>Total (<italic>N</italic> &#x0003D; 23,867)</bold></th>
<th valign="top" align="center"><bold>Control (<italic>N</italic> &#x0003D; 16,114, 67.52%)</bold></th>
<th valign="top" align="center"><bold>NAFLD (<italic>N</italic> &#x0003D; 7,753, 32.48%)</bold></th>
<th valign="top" align="center"><bold><italic>P-</italic>value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Level 1 General characteristics</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Examination center</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.502</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Center 1</td>
<td valign="top" align="center">21,818 (91.4)</td>
<td valign="top" align="center">14,717 (67.5)</td>
<td valign="top" align="center">1,397 (68.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Center 2</td>
<td valign="top" align="center">2,049 (8.6)</td>
<td valign="top" align="center">7,101 (32.5)</td>
<td valign="top" align="center">652 (31.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">43 (35, 50)</td>
<td valign="top" align="center">42 (33, 49)</td>
<td valign="top" align="center">45 (37, 51)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Age by category</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;18&#x02013;44</td>
<td valign="top" align="center">13,371 (56.0)</td>
<td valign="top" align="center">9,603 (59.6)</td>
<td valign="top" align="center">3,768 (48.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;45&#x02013;59</td>
<td valign="top" align="center">10,496 (44.0)</td>
<td valign="top" align="center">6,511 (40.4)</td>
<td valign="top" align="center">3,985 (51.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Male</td>
<td valign="top" align="center">12,988 (54.4)</td>
<td valign="top" align="center">7,370 (45.7)</td>
<td valign="top" align="center">5,618 (72.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Female</td>
<td valign="top" align="center">10,879 (45.6)</td>
<td valign="top" align="center">8,744 (54.3)</td>
<td valign="top" align="center">2,135 (27.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Level 2 Clinical and laboratory tests</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">23.8 (21.6, 26.0)</td>
<td valign="top" align="center">22.8 (20.9, 24.7)</td>
<td valign="top" align="center">25.9 (24.0, 27.8)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">BMI by category<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Lean</td>
<td valign="top" align="center">738 (3.1)</td>
<td valign="top" align="center">696 (4.3)</td>
<td valign="top" align="center">42 (0.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Normal</td>
<td valign="top" align="center">11,899 (49.9)</td>
<td valign="top" align="center">10,051 (62.4)</td>
<td valign="top" align="center">1,848 (23.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Overweight</td>
<td valign="top" align="center">8,658 (36.3)</td>
<td valign="top" align="center">4,538 (28.2)</td>
<td valign="top" align="center">4,120 (53.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Obese</td>
<td valign="top" align="center">2,572 (10.8)</td>
<td valign="top" align="center">829 (5.1)</td>
<td valign="top" align="center">1,743 (22.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">FBG (mmol/L)</td>
<td valign="top" align="center">5.3 (4.9, 5.6)</td>
<td valign="top" align="center">5.2 (4.9, 5.5)</td>
<td valign="top" align="center">5.4 (5.1, 5.9)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Hyperglycemia<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">23,057 (96.6)</td>
<td valign="top" align="center">15,815 (98.1)</td>
<td valign="top" align="center">7,242 (93.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">810 (3.4)</td>
<td valign="top" align="center">299 (1.9)</td>
<td valign="top" align="center">511 (6.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">TC (mmol/L)</td>
<td valign="top" align="center">4.9 (4.4, 5.6)</td>
<td valign="top" align="center">4.8 (4.3, 5.4)</td>
<td valign="top" align="center">5.2 (4.6, 5.8)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">TG (mmol/L)</td>
<td valign="top" align="center">1.3 (0.9, 2.0)</td>
<td valign="top" align="center">1.1 (0.8, 1.6)</td>
<td valign="top" align="center">2.0 (1.4, 2.9)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">HDL-C (mmol/L)</td>
<td valign="top" align="center">1.3 (1.1, 1.5)</td>
<td valign="top" align="center">1.4 (1.2, 1.6)</td>
<td valign="top" align="center">1.2 (1.0, 1.3)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">LDL-C (mmol/L)</td>
<td valign="top" align="center">2.8 (2.3, 3.3)</td>
<td valign="top" align="center">2.8 (2.3, 3.3)</td>
<td valign="top" align="center">2.9 (2.4, 3.4)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">10,402 (43.6)</td>
<td valign="top" align="center">8,723 (54.1)</td>
<td valign="top" align="center">1,679 (21.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">13,465 (56.4)</td>
<td valign="top" align="center">7,391 (45.9)</td>
<td valign="top" align="center">6,074 (78.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Level 3 Lifestyle habits</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">17,389 (72.9)</td>
<td valign="top" align="center">12,527 (77.7)</td>
<td valign="top" align="center">4,862 (62.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="center">6,478 (27.1)</td>
<td valign="top" align="center">3,587 (22.3)</td>
<td valign="top" align="center">2,891 (37.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">18,546 (77.7)</td>
<td valign="top" align="center">13,250 (82.2)</td>
<td valign="top" align="center">5,296 (68.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">5,321 (22.3)</td>
<td valign="top" align="center">2,864 (17.8)</td>
<td valign="top" align="center">2,457 (31.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Physical activity</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">8,003 (33.5)</td>
<td valign="top" align="center">5,231 (32.5)</td>
<td valign="top" align="center">2,772 (35.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">15,864 (66.5)</td>
<td valign="top" align="center">10,883 (67.5)</td>
<td valign="top" align="center">4,981 (64.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Meals on time</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.043<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">8,237 (34.5)</td>
<td valign="top" align="center">5,631 (34.9)</td>
<td valign="top" align="center">2,606 (33.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">15,630 (65.5)</td>
<td valign="top" align="center">10,483 (65.1)</td>
<td valign="top" align="center">5,147 (66.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Overeating</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">22,339 (93.6)</td>
<td valign="top" align="center">15,197 (94.3)</td>
<td valign="top" align="center">7,142 (92.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">1,528 (6.4)</td>
<td valign="top" align="center">917 (5.7)</td>
<td valign="top" align="center">611 (7.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Socializing</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">19,168 (80.3)</td>
<td valign="top" align="center">13,392 (83.1)</td>
<td valign="top" align="center">5,776 (74.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">4,699 (19.7)</td>
<td valign="top" align="center">2,722 (16.9)</td>
<td valign="top" align="center">1,977 (25.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Coffee</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.011<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">17,304 (72.5)</td>
<td valign="top" align="center">11,765 (73.0)</td>
<td valign="top" align="center">5,539 (71.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">6,563 (27.5)</td>
<td valign="top" align="center">4,349 (27.0)</td>
<td valign="top" align="center">2,214 (28.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sugary beverages</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td valign="top" align="center">12,333 (51.7)</td>
<td valign="top" align="center">8,560 (53.1)</td>
<td valign="top" align="center">3,773 (48.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">11,534 (48.3)</td>
<td valign="top" align="center">7,554 (46.9)</td>
<td valign="top" align="center">3,980 (51.3)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Continuous variables were shown as numbers (percentages); Categories variables were expressed as median [interquartile range (IQR)]); Percentage sums of categorical variables may not equal 100% due to rounding; P-Values were derived from Mann&#x02013;Whitney tests for continuous variables and chi-square tests for categorical variables. NAFLD, non-alcoholic fatty liver disease; BMI, body mass index; FBG, fasting blood glucose; TC, total cholesterol; TG, triglyceride; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol</italic>.</p>
<fn id="TN1">
<label>a</label>
<p><italic>Lean means BMI &#x0003C; 18.5 kg/m<sup>2</sup>, normal means BMI between 18.5&#x02013;23.9 kg/m<sup>2</sup>, overweight means BMI between 24.0&#x02013;27.9 kg/m<sup>2</sup>, and obese means BMI &#x02265; 28.0 kg/m<sup>2</sup></italic>;</p></fn>
<fn id="TN2">
<label>b</label>
<p><italic>Hyperglycemia was defined as blood glucose &#x02265; 7.0 mmol/L</italic>.</p></fn>
<fn id="TN3">
<label>c</label>
<p><italic>Dyslipidemia was defined as meeting one of these criteria: TC &#x02265; 5.2 mmol/L, TG &#x02265; 1.7 mmol/L, LDL-C &#x02265; 3.4 mmol/L, and HDL-C &#x0003C; 1.0 mmol/L</italic>;</p></fn>
<fn id="TN4">
<label>d</label>
<p><italic>The answer &#x0201C;Yes&#x0201D; to alcohol drinking represents alcohol consumption equivalent to &#x0003C;210 g/week of ethanol for men and &#x0003C;140 g/week for women</italic>;</p></fn>
<fn id="TN5">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>;</p></fn>
<fn id="TN6">
<label>&#x0002A;&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.001</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Univariate Analysis of NAFLD</title>
<p>The results of the univariate analysis of NAFLD are also shown in <xref ref-type="table" rid="T1">Table 1</xref>. There was no statistically significant difference between participants from different medical examination centers and having NAFLD (<italic>P</italic> = 0.502). In terms of general characteristics, participants with NAFLD were more likely to be men, older, and 45&#x02013;59 years old (middle age) compared to those without NAFLD (<italic>P</italic> &#x0003C; 0.001). The clinical and laboratory results indicated that participants who were overweight or obese, hyperglycemia, and dyslipidemia were at higher risk for NAFLD (<italic>P</italic> &#x0003C; 0.001). Participants who did not have NAFLD had lower TC [4.8 (4.3, 5.4) mmol/L], TG [1.1 (0.8, 1.6) mmol/L], LDL-C [2.8 (2.3, 3.3) mmol/L], and higher HDL-C [1.4 (1.2, 1.6) mmol/L]. Among lifestyles, participants with NAFLD reported much higher alcohol drinking, current smoking, overeating, socializing, sugary beverages, and less physical activity (<italic>P</italic> &#x0003C; 0.001). In addition, the association of meals on time and coffee with the finding of NAFLD was also statistically significant (<italic>P</italic> &#x0003C; 0.05).</p>
</sec>
<sec>
<title>Distribution and Association Between Salt Intake, Dietary Diversity, and NAFLD</title>
<p>As shown in <xref ref-type="table" rid="T2">Table 2</xref>, the median and IQR of the urine creatinine, urine sodium, urine potassium, and urine sodium-potassium ratios were [11,288 (4,767, 14,594)], [116.3 (68.3, 158.6)], [48.7 (27.5, 71.1)], and [2.3 (1.6, 3.3)], respectively. The analysis results showed that participants with NAFLD had significantly higher urine creatinine, sodium, potassium, sodium-potassium ratio, and salt intake than those without NAFLD (<italic>P</italic> &#x0003C; 0.001).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Distribution of salt intake and dietary diversity among participants with and without NAFLD.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>Total (<italic>N</italic> &#x0003D;23,867)</bold></th>
<th valign="top" align="center"><bold>Control (<italic>N</italic> &#x0003D; 16,114, 67.52%)</bold></th>
<th valign="top" align="center"><bold>NAFLD (<italic>N</italic> &#x0003D; 7,753, 32.48%)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Urine creatinine</td>
<td valign="top" align="center">11,288 (4,767, 14,594)</td>
<td valign="top" align="center">9,849 (4,127, 14,183)</td>
<td valign="top" align="center">13,136 (6,974, 15,621)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Urine sodium</td>
<td valign="top" align="center">116.3 (68.3, 158.6)</td>
<td valign="top" align="center">107.2 (59.5, 151.9)</td>
<td valign="top" align="center">133.0 (90.0, 169.3)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Urine potassium</td>
<td valign="top" align="center">48.7 (27.5, 71.1)</td>
<td valign="top" align="center">45.1 (24.9, 69.1)</td>
<td valign="top" align="center">54.7 (34.6, 74.9)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Sodium-potassium ratio</td>
<td valign="top" align="center">2.3 (1.6, 3.3)</td>
<td valign="top" align="center">2.3 (1.6, 3.3)</td>
<td valign="top" align="center">2.4 (1.7, 3.5)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Salt intake</td>
<td valign="top" align="center">8.3 (7.1, 9.5)</td>
<td valign="top" align="center">8.1 (6.9, 9.3)</td>
<td valign="top" align="center">8.7 (7.5, 9.8)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Grains</td>
<td valign="top" align="center">22.568 (94.6)</td>
<td valign="top" align="center">15,299 (94.9)</td>
<td valign="top" align="center">7,269 (93.8)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Vegetables</td>
<td valign="top" align="center">18,576 (77.8)</td>
<td valign="top" align="center">12,566 (78.0)</td>
<td valign="top" align="center">6,010 (77.5)</td>
<td valign="top" align="center">0.419</td>
</tr>
<tr>
<td valign="top" align="left">Fruits</td>
<td valign="top" align="center">23,116 (96.9)</td>
<td valign="top" align="center">15,663 (97.2)</td>
<td valign="top" align="center">7,453 (96.1)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Livestock meat</td>
<td valign="top" align="center">18,059 (75.7)</td>
<td valign="top" align="center">11,947 (74.1)</td>
<td valign="top" align="center">6,112 (78.8)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Fish and shrimp</td>
<td valign="top" align="center">22,572 (94.6)</td>
<td valign="top" align="center">15,250 (94.6)</td>
<td valign="top" align="center">7,322 (94.4)</td>
<td valign="top" align="center">0.529</td>
</tr>
<tr>
<td valign="top" align="left">Eggs</td>
<td valign="top" align="center">22,809 (95.6)</td>
<td valign="top" align="center">15,394 (95.5)</td>
<td valign="top" align="center">7,415 (95.6)</td>
<td valign="top" align="center">0.703</td>
</tr>
<tr>
<td valign="top" align="left">Milk and dairy products</td>
<td valign="top" align="center">15,383 (64.5)</td>
<td valign="top" align="center">10,625 (65.9)</td>
<td valign="top" align="center">4,758 (61.4)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Beans</td>
<td valign="top" align="center">10,768 (45.1)</td>
<td valign="top" align="center">7,376 (45.8)</td>
<td valign="top" align="center">3,392 (43.8)</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="TN9"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Oils and fats</td>
<td valign="top" align="center">20,300 (85.1)</td>
<td valign="top" align="center">13,519 (83.9)</td>
<td valign="top" align="center">6,781 (87.5)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN10"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">DDS<xref ref-type="table-fn" rid="TN7"><sup>a</sup></xref></td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.022<xref ref-type="table-fn" rid="TN8"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Insufficient</td>
<td valign="top" align="center">230 (1.0)</td>
<td valign="top" align="center">136 (0.8)</td>
<td valign="top" align="center">94 (1.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Moderate</td>
<td valign="top" align="center">5,414 (22.7)</td>
<td valign="top" align="center">3,674 (22.8)</td>
<td valign="top" align="center">1,740 (22.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Sufficient</td>
<td valign="top" align="center">18,223 (76.4)</td>
<td valign="top" align="center">12,304 (76.4)</td>
<td valign="top" align="center">5,919 (76.3)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Continuous variables were shown as numbers (percentages); Categories variables were expressed as median [interquartile range (IQR)]; Percentage sums of categorical variables may not equal 100% due to rounding; The unit of urine creatinine is umol/L, the unit of urine sodium and potassium is mmol/L, and the unit of salt intake is g/d.; P-Values were derived from Mann&#x02013;Whitney tests for continuous variables and chi-square tests for categorical variables. DDS, dietary diversity scores; NAFLD, non-alcoholic fatty liver disease</italic>.</p>
<fn id="TN7">
<label>a</label>
<p><italic>Insufficient refers to a score of 0&#x02013;3, Moderate refers to a score of 4&#x02013;6 and Sufficient refers to a score of 7&#x02013;9</italic>;</p></fn>
<fn id="TN8">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>;</p></fn>
<fn id="TN9">
<label>&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.01</italic>;</p></fn>
<fn id="TN10">
<label>&#x0002A;&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.001</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The food group most consumed among participants was fruit (96.9%), followed by eggs (95.6%), fish and shrimp (94.6%), and grains (94.6%), with the least consumed being beans (45.1%). Participants with NAFLD consumed fewer grains (93.8%), fruits (96.1%), milk and dairy products (61.4%), and beans (43.8%) and consumed more livestock meat (78.8%), oils and fats (87.5%). This suggests that the former may reduce the risk of NAFLD, while the latter may be considered a risk factor for NAFLD (<italic>P</italic> &#x0003C; 0.01).</p>
<p>Regarding the main variables (see <xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F2">Figure 2</xref>), the median and IQR of salt intake was [8.3 (7.1, 9.5)], and dietary diversity was achieved by 76.4% of the participants. The correlation between high salt intake in patients with NAFLD was significant (<italic>P</italic> &#x0003C; 0.001). A greater proportion of patients with NAFLD had an insufficient DDS, and fewer had a moderate and sufficient DDS than the control group (<italic>P</italic> = 0.022). Furthermore, the median salt intake in the insufficient, moderate, and sufficient groups was 8.19, 8.23, and 8.30, respectively. The Kruskal&#x02013;Wallis test indicated a significant direct correlation between dietary diversity and salt intake (<italic>P</italic> = 0.013).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Correlation between salt intake, dietary diversity, and NAFLD. <bold>(A)</bold> Univariate analysis of salt intake and NAFLD; <bold>(B)</bold> Univariate analysis of dietary diversity and NAFLD; <bold>(C)</bold> Univariate analysis of salt intake and dietary diversity. IQR, interquartile range; DDS, dietary diversity scores; NAFLD, non-alcoholic fatty liver disease; Insufficient refers to a score of 0&#x02013;3, Moderate refers to a score of 4&#x02013;6 and Sufficient refers to a score of 7&#x02013;9; &#x0002A;<italic>P</italic> &#x0003C; 0.05; &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-930316-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Multilevel Logistic Regression of NAFLD With Salt Intake and Dietary Diversity</title>
<p>The multilevel binary logistic regression model was constructed with salt intake and dietary diversity as independent variables and NAFLD as the outcome variable (see <xref ref-type="table" rid="T3">Table 3</xref>). Both the unadjusted and all adjusted models indicated that salt intake was a risk factor for NAFLD, and the likelihood of developing NAFLD increased with high quartiles of salt intake (<italic>P</italic> &#x0003C; 0.001). Compared to the lowest quartile group, the odds ratio for NAFLD decreased with higher salt intake after adjusting for confounders. The odds ratio [95% confidence interval] for the fourth quartile of salt intake in the crude model and the full Model 3 was 2.071 [1.915&#x02013;2.240] and 1.604 [1.465&#x02013;1.757], respectively.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Multilevel logistic regression of NAFLD with salt intake and dietary diversity.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Odds ratio [95% confidence interval]</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Crude</bold></th>
<th valign="top" align="center"><bold>Model 1</bold></th>
<th valign="top" align="center"><bold>Model 2</bold></th>
<th valign="top" align="center"><bold>Model 3</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5">Level 0 Main independent variables</td>
</tr>
<tr>
<td valign="top" align="left">Salt intake</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Quartile 1</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Quartile 2</td>
<td valign="top" align="center">1.294<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.194&#x02013;1.403]</td>
<td valign="top" align="center">1.253<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.152&#x02013;1.362]</td>
<td valign="top" align="center">1.181<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.077&#x02013;1.295]</td>
<td valign="top" align="center">1.201<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.094&#x02013;1.317]</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Quartile 3</td>
<td valign="top" align="center">1.689<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.560&#x02013;1.828]</td>
<td valign="top" align="center">1.638<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.509&#x02013;1.779]</td>
<td valign="top" align="center">1.416<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.293&#x02013;1.550]</td>
<td valign="top" align="center">1.442<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.316&#x02013;1.580]</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Quartile 4</td>
<td valign="top" align="center">2.071<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.915&#x02013;2.240]</td>
<td valign="top" align="center">1.999<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.843&#x02013;2.169]</td>
<td valign="top" align="center">1.582<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.446&#x02013;1.731]</td>
<td valign="top" align="center">1.604<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.465&#x02013;1.757]</td>
</tr>
<tr>
<td valign="top" align="left">DDS</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Insufficient</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Moderate</td>
<td valign="top" align="center">0.681<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;&#x0002A;</sup></xref> [0.519&#x02013;0.893]</td>
<td valign="top" align="center">0.698<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;</sup></xref> [0.527&#x02013;0.926]</td>
<td valign="top" align="center">0.734 [0.536&#x02013;1.007]</td>
<td valign="top" align="center">0.733 [0.534&#x02013;1.005]</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Sufficient</td>
<td valign="top" align="center">0.683<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;&#x0002A;</sup></xref> [0.523&#x02013;0.893]</td>
<td valign="top" align="center">0.686<xref ref-type="table-fn" rid="TN12"><sup>&#x0002A;&#x0002A;</sup></xref> [0.520&#x02013;0.905]</td>
<td valign="top" align="center">0.705<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;</sup></xref> [0.517&#x02013;0.962]</td>
<td valign="top" align="center">0.706<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;</sup></xref> [0.517&#x02013;0.965]</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Level 1 General characteristics</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;18&#x02013;44</td>
<td/>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;45&#x02013;59</td>
<td/>
<td valign="top" align="center">1.664<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.571&#x02013;1.761]</td>
<td valign="top" align="center">1.377<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.292&#x02013;1.467]</td>
<td valign="top" align="center">1.418<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.329&#x02013;1.514]</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Male</td>
<td/>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Female</td>
<td/>
<td valign="top" align="center">0.312<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [0.294&#x02013;0.332]</td>
<td valign="top" align="center">0.575<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [0.537&#x02013;0.616]</td>
<td valign="top" align="center">0.685<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [0.636&#x02013;0.739]</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Level 2 Clinical and laboratory tests</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Thin</td>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Normal</td>
<td/>
<td/>
<td valign="top" align="center">2.003<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.452&#x02013;2.763]</td>
<td valign="top" align="center">2.034<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.474&#x02013;2.807]</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Overweight</td>
<td/>
<td/>
<td valign="top" align="center">7.322<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [5.306&#x02013;10.103]</td>
<td valign="top" align="center">7.499<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [5.433&#x02013;10.353]</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Obese</td>
<td/>
<td/>
<td valign="top" align="center">15.199<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [10.919&#x02013;21.156]</td>
<td valign="top" align="center">15.421<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [11.071&#x02013;21.478]</td>
</tr>
<tr>
<td valign="top" align="left">Hyperglycemia</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td valign="top" align="center">2.545<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [2.158&#x02013;3.002]</td>
<td valign="top" align="center">2.596<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [2.198&#x02013;3.065]</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td valign="top" align="center">ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td valign="top" align="center">3.117<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [2.912&#x02013;3.336]</td>
<td valign="top" align="center">3.000<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [2.802&#x02013;3.213]</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Level 3 Lifestyle habits</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1.335<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.240&#x02013;1.438]</td>
</tr>
<tr>
<td valign="top" align="left">Current smoking</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1.239<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.146&#x02013;1.341]</td>
</tr>
<tr>
<td valign="top" align="left">Physical activity</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.831<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [0.777&#x02013;0.889]</td>
</tr>
<tr>
<td valign="top" align="left">Meals on time</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1.053 [0.983&#x02013;1.128]</td>
</tr>
<tr>
<td valign="top" align="left">Overeating</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.993 [0.875&#x02013;1.128]</td>
</tr>
<tr>
<td valign="top" align="left">Socializing</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1.102<xref ref-type="table-fn" rid="TN11"><sup>&#x0002A;</sup></xref> [1.016&#x02013;1.195]</td>
</tr>
<tr>
<td valign="top" align="left">Coffee</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.967 [0.899&#x02013;1.040]</td>
</tr>
<tr>
<td valign="top" align="left">Sugary beverages</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;None</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">1.154<xref ref-type="table-fn" rid="TN13"><sup>&#x0002A;&#x0002A;&#x0002A;</sup></xref> [1.080&#x02013;1.234]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Crude, unadjusted; Model 1, adjusted for age, sex; Model 2, Model 1 &#x0002B; BMI, hyperglycemia, dyslipidemia; Model 3: full model (i.e., Model 2 &#x0002B; alcohol drinking, current smoking, physical activity; meals on time, overeating, socializing, coffee, and sugary beverages). NAFLD, non-alcoholic fatty liver disease; DDS, dietary diversity scores</italic>.</p>
<fn id="TN11">
<label>&#x0002A;</label>
<p><italic>P &#x0003C; 0.05</italic>;</p></fn>
<fn id="TN12">
<label>&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.01</italic>;</p></fn>
<fn id="TN13">
<label>&#x0002A;&#x0002A;&#x0002A;</label>
<p><italic>P &#x0003C; 0.001</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Additionally, the crude and adjusted models showed that dietary diversity was a protective factor for NAFLD (<italic>P</italic> &#x0003C; 0.05). An increase in DDS with more sufficient dietary diversity reduced the risk of NAFLD. Both moderate DDS and sufficient DDS versus insufficient DDS in the crude model (0.681 [0.519&#x02013;0.893], <italic>P</italic> &#x0003C; 0.01; 0.683 [0.523&#x02013;0.893], <italic>P</italic> &#x0003C; 0.01) and Model 1 (0.698 [0.527&#x02013;0.926], <italic>P</italic> &#x0003C; 0.01; 0.686 [0.520&#x02013;0.905], <italic>P</italic> &#x0003C; 0.01) after adjusting for age and sex showed significant odds ratios. Model 2 (0.705 [0.517&#x02013;0.962], <italic>P</italic> &#x0003C; 0.05) and Model 3 (0.706 [0.517&#x02013;0.965], <italic>P</italic> &#x0003C; 0.05) after continuing to adjust for BMI, hyperglycemia, dyslipidemia, alcohol drinking, current smoking, physical exercise, meals on time, overeating, socializing, coffee, and sugary beverages had a significant odds ratio to NAFLD for sufficient DDS over insufficient DDS.</p>
</sec>
<sec>
<title>Subgroup Analysis of Salt Intake, Dietary Diversity, and NAFLD</title>
<p>To further test the stability of the results, subgroup analyses were performed by age, sex, BMI, hyperglycemia, dyslipidemia, alcohol drinking, current smoking, physical exercise, socializing, and sugary beverages. An additional subgroup of DDS was added for salt intake and NAFLD, as well as a subgroup of salt intake for dietary diversity with NAFLD. Salt intake was presented as an independent risk factor for NAFLD in all subgroups after adjusted models (<italic>P</italic> &#x0003C; 0.05, see <xref ref-type="fig" rid="F3">Figure 3A</xref>). Dietary diversity (see <xref ref-type="fig" rid="F3">Figure 3B</xref>) was a protective factor for NAFLD in the female group, the overweight group, the current non-smoking group, the non-physical exercise group, the non-socializing group, and the non-sugary beverages group (<italic>P</italic> &#x0003C; 0.05).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Subgroup analysis of the salt intake, dietary diversity, and NAFLD. <bold>(A)</bold> Association of salt intake with NAFLD after adjusting for other confounding variables; <bold>(B)</bold> Association of dietary diversity with NAFLD after adjusting for other confounding variables. NAFLD, non-alcoholic fatty liver disease; Insufficient refers to a score of 0&#x02013;3, Moderate refers to a score of 4&#x02013;6, and Sufficient refers to a score of 7&#x02013;9; &#x0002A;<italic>P</italic> &#x0003C; 0.05; &#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.01; &#x0002A;&#x0002A;&#x0002A;<italic>P</italic> &#x0003C; 0.001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-930316-g0003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study was conducted to understand the relationship between salt intake, dietary diversity, and NAFLD in Chinese adult medical examination adults aged 18&#x02013;59 years. The results showed that the prevalence of NAFLD among Chinese medical examination adults aged 18&#x02013;59 years was 32.48%, which was significantly higher than that of a meta-analysis of 256,367 cases on the prevalence of NAFLD in China (20%) (<xref ref-type="bibr" rid="B34">34</xref>). In addition, we found that salt intake increased the risk of NAFLD, whereas dietary diversity was a protective factor for NAFLD, and the results were equally stable in the subgroup analysis.</p>
<p>NAFLD is typically a &#x0201C;lifestyle disease,&#x0201D; and the role of modifiable dietary factors in NAFLD is of increasing concern. The imbalance of nutrient intake can easily lead to overweight and obesity, increased blood glucose and lipid levels, and other health risks related to NAFLD (<xref ref-type="bibr" rid="B35">35</xref>). Studies have pointed out that dietary therapy can control the absorption of basal state free fatty acids, control postprandial hyperlipidemia, reduce insulin resistance, promote the metabolism and transport of lipoproteins, increase the number of antioxidants in the body, and adjust the dietary structure and balance (<xref ref-type="bibr" rid="B36">36</xref>). By preventing or eliminating the causes of fatty liver through reasonable and healthy dietary nutrition, the steatosis of early hepatocytes can be reversed while reducing the patient&#x00027;s symptoms (<xref ref-type="bibr" rid="B37">37</xref>). After the development of liver lesions in patients with NAFLD, even with tighter control of risk factors such as BMI, hyperglycemia, and dyslipidemia, only 17.8% of patients eventually reverse their liver lesions to normal (<xref ref-type="bibr" rid="B38">38</xref>). Therefore, early screening for dietary factors that can affect NAFLD and targeted prevention is essential to reduce the risk of developing NAFLD.</p>
<p>High salt intake is an essential dietary risk factor for disease burden in the population (<xref ref-type="bibr" rid="B39">39</xref>) and has a positive association with obesity, blood pressure, and cardiovascular disease (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Therefore, it may be associated with the development of NAFLD by the same pathway. Our study found the median and IQR of salt intake in adults aged 18&#x02013;59 years to be (8.3 [7.1, 9.5]) g/d. This is well above the WHO and FAO recommended daily salt intake of &#x0003C;6 g/d (<xref ref-type="bibr" rid="B41">41</xref>). It is also higher than the Norwegian adult population study (8.05 g/d) (<xref ref-type="bibr" rid="B42">42</xref>). The results of logistic regression analysis further suggested that salt intake was a risk factor for NAFLD. After controlling for significant confounders in univariate analysis, the results still indicated that increased salt intake increased the risk of NAFLD. Although the mechanisms linking salt intake to NAFLD are unclear, researchers have suggested that insulin resistance may be a metabolic intermediate explaining the relationship between high salt intake and NAFLD (<xref ref-type="bibr" rid="B43">43</xref>). A study in rats showed that high salt intake enhances insulin sensitivity in adipocytes, improves glucose uptake and insulin-induced glucose metabolism, and promotes adipocyte hypertrophy (<xref ref-type="bibr" rid="B44">44</xref>). In addition, high salt intake activates the aldose reductase-fructokinase pathway in the liver and hypothalamus, leading to obesity, insulin resistance, and NAFLD (<xref ref-type="bibr" rid="B45">45</xref>). The significant role of obesity in the development of NAFLD may also be a potential mechanism for the association between salt intake and NAFLD. A high salt diet was found to be independently associated with elevated leptin levels in humans (<xref ref-type="bibr" rid="B46">46</xref>), and there was a direct positive correlation between salt intake and BMI or body fat percentage (<xref ref-type="bibr" rid="B13">13</xref>). Another study pointed out that high salt can also play a role in hepatic inflammation and fibrosis by modulating the renin-angiotensin system, leading to the progression of NAFLD (<xref ref-type="bibr" rid="B47">47</xref>). This provides the supporting basis for the present study. Several previous studies have also found an association between salt and NAFLD. However, the estimation of salt intake is often performed by dietary surveys or 24-h urine sodium assessment rather than the direct calculation of salt intake (<xref ref-type="bibr" rid="B11">11</xref>). Spot urine estimation of 24-h urine sodium excretion is considered a simple, rapid, and generalizable method for estimating the level of salt intake in a population (<xref ref-type="bibr" rid="B12">12</xref>). This study is the first to analyze the relationship between salt intake and NAFLD by examining spot urine in a large sample of the Chinese medical examination population.</p>
<p>In terms of dietary diversity, participants with NAFLD in this study consumed fewer grains, fruits, milk and dairy products, beans, and more livestock meat, and oils and fats. However, diets that increase the intake of vegetables and fruits, beans, fish and yogurt, and whole grains and reduce foods with meat, salt, and trans fats benefit the organism (<xref ref-type="bibr" rid="B48">48</xref>). The Mediterranean diet, characterized by this diet, was associated with lower levels of systemic inflammation and a reduced incidence of NAFLD (<xref ref-type="bibr" rid="B49">49</xref>). It is recommended to increase the consumption of grains, fruits, milk and dairy products, and beans and reduce the intake of fats and livestock meats. Several other dietary patterns have been associated with NAFLD. Healthy dietary patterns and Dietary Approaches to Stop Hypertension can play a key role in the prevention and control of NAFLD (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>). In a study of Chinese adults, the &#x0201C;Animal Food&#x0201D; dietary pattern of food consumption was associated with an increased risk of NAFLD, and the &#x0201C;Grains-Vegetables&#x0201D; dietary pattern was related to a reduced risk of NAFLD (<xref ref-type="bibr" rid="B17">17</xref>). However, it has also been found that a vegetable-rich diet was not associated with NAFLD (<xref ref-type="bibr" rid="B18">18</xref>), and the present study also did not find an association between vegetables and NAFLD. In centrally obese adolescents, a Western dietary pattern characterized by consumption of red meat, refined grains, processed meats, and high-sugar beverages may increase the risk of NAFLD (<xref ref-type="bibr" rid="B50">50</xref>). A Greek study reported that the fast food-type dietary pattern was independently associated with higher odds of NAFLD due to high levels of C-reactive protein and unsaturated fatty acids (<xref ref-type="bibr" rid="B19">19</xref>). A Lebanese study noted that the high fruit diet group was also a major potential risk factor for NAFLD, while the traditional diet consisting of vegetables and legumes was negatively associated with the odds of NAFLD (<xref ref-type="bibr" rid="B51">51</xref>). It can be learned that different dietary patterns have different effects on NAFLD, and the evidence focusing on the overall quality of the diet and NAFLD is still weak.</p>
<p>The present study also suggested that dietary diversity, as a protective factor for NAFLD, decreased the risk of NAFLD development. Sufficient DDS was associated with a reduced risk of NAFLD compared to insufficient DDS. Some trial evidence suggested that greater food diversity affected the composition of the gut flora, thereby further improving immune function and health status (<xref ref-type="bibr" rid="B52">52</xref>). Previous studies have found that increased dietary diversity reduces the incidence of diseases closely related to NAFLD such as overweight, metabolic syndrome, and cardiovascular disease (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>). In addition, higher DDS was related to healthier eating habits and better metabolic profiles. Increased dietary diversity leads to more opportunities to choose foods that are negatively associated with NAFLD. Ebrahimi et al. (<xref ref-type="bibr" rid="B55">55</xref>) noted that dietary diversity was correlated with increased vitamin C, calcium, and fiber, all of which were negatively associated with liver disease. Furthermore, dietary diversity may increase the intake of various micronutrients, dietary fiber, and some healthful phytochemicals, which are positively associated with dietary balance (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). A wide variety of foods from the same and different food groups can provide vitamins, minerals, and other micronutrients necessary for the health of the body, thereby improving dietary patterns and optimizing the structure of the diet. The more established &#x0201C;second strike&#x0201D; theory of NAFLD points to the importance of oxidative stress in the development of NAFLD (<xref ref-type="bibr" rid="B58">58</xref>). Dietary diversity may increase the adequate intake of antioxidants in the diet (<xref ref-type="bibr" rid="B59">59</xref>) and may be associated with NAFLD. Notably, another study found that DDS increase was not significantly associated with NAFLD (<xref ref-type="bibr" rid="B15">15</xref>). This difference in results may be due to the inclusion of food groups with different assessment methods, different populations assessed, and smaller samples for dietary diversity in their included studies. Furthermore, dietary diversity is not focused on increasing the number of nutrients but rather on promoting diversity and balance among nutrients. It should be clarified that the dietary diversity of an individual does not indicate complete nutritional health. Dietary diversity can ensure the intake of all types of nutrients, but if a particular nutrient is consumed too much or not enough, it is an unreasonable dietary structure, affecting nutritional health.</p>
<p>This study also showed that NAFLD was related to higher age, considering an association with increased metabolic decrease (<xref ref-type="bibr" rid="B38">38</xref>). Men were also prone to NAFLD because they were more socially active in their careers, and many had drinking and smoking habits (<xref ref-type="bibr" rid="B35">35</xref>). Consistent with previous studies, NAFLD was linked to overweight/obesity, hyperglycemia, and dyslipidemia, with higher BMI, glucose, and lipids in the NAFLD group than in the control group (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B58">58</xref>). Alcohol drinking and current smoking were also associated with NAFLD. Evidence has shown that patients with NAFLD should avoid alcohol consumption (<xref ref-type="bibr" rid="B60">60</xref>), and passive smoking increases NAFLD risk by &#x0007E;1.38-fold (<xref ref-type="bibr" rid="B61">61</xref>). Conversely, physical activity can improve the metabolic function of all bodies, which helps to control BMI and improve insulin resistance, therefore reducing the incidence of NAFLD (<xref ref-type="bibr" rid="B36">36</xref>). In addition, socializing and drinking sugary beverages can also affect NAFLD. Additional socializing can lead to excess nutrients being stored in the liver and the formation of a fatty liver. Sugary beverages can increase the metabolic burden so may be a key driver of NAFLD (<xref ref-type="bibr" rid="B62">62</xref>). Interestingly, previous studies suggested a protective effect of meals on time and coffee consumption on NAFLD (<xref ref-type="bibr" rid="B63">63</xref>). However, this study found no association between meals on time and coffee consumption and NAFLD in the adjusted regression model. This may be related to other factors, such as different subjects consuming coffee with different types, amounts, and food frequencies. Moreover, the present study found that salt intake was associated with dietary diversity. This has not been described in previous studies. Even without considering the amount and frequency of food intake, a greater variety of food intake can affect salt intake levels. Increased dietary diversity is accompanied by the intake of more categories of foods, which implies that people with sufficient dietary diversity have an increased probability of consuming salt-rich foods. This suggests that in addition to managing single nutrients such as sodium, it is equally important to consider whether the overall dietary intake is balanced for NAFLD (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>To exclude the effect of these factors on NAFLD, we performed further subgroup analysis that illustrated the stability of the results of this study. The results indicated that salt intake remained a risk factor for NAFLD in all subgroups. This suggests that salt intake must be reduced in the management of patients with NAFLD. The protective effect of dietary diversity on NAFLD was more pronounced in the female, overweight, non-current smoking, non-physical activity, non-socializing, and non-sugary beverage groups. This may be due to the fact that dietary diversity is also influenced by multiple factors. It also reinforces the recommendation that the impact of dietary diversity on the health of different populations of patients with NAFLD should be analyzed on a case-by-case basis.</p>
<p>To our knowledge, this study was the first to examine the relationship between salt intake, dietary diversity, and NAFLD in Chinese adults aged 18&#x02013;59 years. We obtained the results using data from a large sample of Chinese medical examinations. All data were collected by professionals and quality-controlled to ensure the reliability of the information. We adjusted for multiple confounders in our analysis to build models and performed subgroup analysis to make our results more stable. In addition, our study subjects were the medical examination population, and clinical health care professionals will provide post-test health promotion education and dietary and exercise instructions to these individuals.</p>
<p>This study still had several limitations. First, this was a cross-sectional study, and the results did not reflect causality and the prediction of NAFLD progression, which needs to be further demonstrated in future cohort studies and interventional studies. Second, selection bias needs to be considered, and the population selected for this study was a healthy physical examination population, which may have higher health awareness than other populations. Third, this study evaluated whether the participants had NAFLD and did not assess its severity, which needs to be further explored in future studies. Fourth, the type of food intake in this study was self-reported, it might exist over-reporting and under-reporting situations, thus may causing bias to the results. Besides, the indicator of dietary diversity in this study assessed the variety of foods and did not address the daily energy intake of participants which might be a confounding factor. Finally, we used spot urine to estimate salt intake, and its assessment accuracy may be less than the gold standard.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>The prevalence of NAFLD was 32.48% among adults aged 18&#x02013;59 years in the two Chinese physical examination centers in this study. Salt intake was associated with dietary diversity and NAFLD. Salt intake was an independent risk factor for NAFLD, while a sufficient DDS was a protective factor for NAFLD, and the results were equally stable in the subgroup analysis. It is important to change adverse lifestyle habits and pay attention to the control of salt intake and the balance of dietary diversity in the management of high-risk people to reduce the risk of NAFLD.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the Third Xiangya Hospital of Central South University (No. 2020-S587). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>XL and YLi: conceptualization, formal analysis, data curation, and methodology. XL, YZ, CZ, LL, and YLu: software, validation, and visualization. YLi and JW: investigation. YLi, JW, and JX: resources. XL: writing&#x02014;original draft preparation. XL, YD, and JX: writing&#x02014;review and editing. JW, YD, and JX: supervision and project administration. YD and JX: funding acquisition. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University (No. YX202006) and the Special Funding for the Construction of Innovative Provinces in Hunan (No. 2020SK2091).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>The authors are grateful to all participants for their voluntary participation and to all the members of our research team.</p>
</ack>
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