Wang Yuan-Yuan, Tian Ting, Pan Da, Zhang Jing-Xian, Xie Wei, Wang Shao-Kang, Xia Hui, Dai Yue, Sun Guiju
Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009, China.
Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, No.172 Jiangsu Road, Nanjing, 210009, Jiangsu, China.
BMC Public Health. 2021 Jun 25;21(1):1225. doi: 10.1186/s12889-021-11341-3.
AIMS: This study aimed to analyze the relationship between diet and overweight and obesity in Jiangsu Province by using structural equation modeling (SEM), and to determine dietary differences between genders in the model. METHODS: Data from 1739 individuals (53.8% female, n = 935) were analyzed. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to classify dietary patterns. SEM and multivariate logistic regression were used to explore the relationship between dietary patterns and overweight and obesity. RESULTS: Overweight and obesity was found in 49.1%, and no difference was found in gender (51.2% of men and 47.2% of women, respectively; P = 0.090). Three dietary patterns: the traditional dietary pattern (i.e., poultry, light-colored vegetables, red meat and its products, cereals and tubers products, condiment, oils and dark-colored vegetables), the fruit-egg dietary pattern (i.e., fruit, whole grains, pickled vegetables and eggs and eggs products) and nut-wine dietary pattern (i.e., nut, wine and pastry snacks) were established by using EFA and CFA. It was found that the traditional dietary pattern for adult male was positively associated with the overweight and obesity in Jiangsu Province of China through multivariate logistic regression and SEM (OR = 1.954; 95%CI: 1.258 ~ 3.036; β =0.121, P < 0.05, respectively). CONCLUSION: The traditional dietary pattern only have positive association with overweight and obesity in men in Jiangsu Province, China.
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