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.
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.
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.
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).
The traditional dietary pattern only have positive association with overweight and obesity in men in Jiangsu Province, China.
本研究旨在运用结构方程模型(SEM)分析江苏省饮食与超重及肥胖之间的关系,并确定模型中不同性别的饮食差异。
分析了1739名个体(女性占53.8%,n = 935)的数据。采用探索性因子分析(EFA)和验证性因子分析(CFA)对饮食模式进行分类。运用SEM和多变量逻辑回归探索饮食模式与超重及肥胖之间的关系。
超重和肥胖的发生率为49.1%,性别间无差异(男性为51.2%,女性为47.2%;P = 0.090)。通过EFA和CFA确定了三种饮食模式:传统饮食模式(即家禽、浅色蔬菜、红肉及其制品、谷物和块茎类制品、调味品、油类和深色蔬菜)、果蛋饮食模式(即水果、全谷物、泡菜和蛋类及其制品)和坚果酒饮食模式(即坚果、酒和糕点类零食)。通过多变量逻辑回归和SEM发现,中国江苏省成年男性的传统饮食模式与超重及肥胖呈正相关(OR = 1.954;95%CI:1.258~3.036;β = 0.121,P < 0.05)。
在中国江苏省,传统饮食模式仅与男性的超重和肥胖呈正相关。