title: Gender Difference on the Association between Dietary Patterns and Obesity in Chinese Middle-Aged and Elderly Populations.
abstract: Dietary patterns are linked to obesity, but the gender difference in the association between dietary patterns and obesity remains unclear. We explored this gender difference in a middle-aged and elderly populations in Shanghai. Residents (n = 2046; aged ≥45 years; 968 men and 1078 women) who participated in the Shanghai Food Consumption Survey were studied. Factor analysis of data from four periods of 24-h dietary recalls (across 2012-2014) identified dietary patterns. Height, body weight, and waist circumference were measured to calculate the body mass index. A log binominal model examined the association between dietary patterns and obesity, stratified by gender. Four dietary patterns were identified for both genders: rice staple, wheat staple, snacks, and prudent patterns. The rice staple pattern was associated positively with abdominal obesity in men (prevalence ratio (PR) = 1.358; 95% confidence interval (CI) 1.132-1.639; p = 0.001), but was associated negatively with general obesity in women (PR = 0.745; 95% CI: 0.673-0.807; p = 0.031). Men in the highest quartile of the wheat staple pattern had significantly greater risk of central obesity (PR = 1.331; 95% CI: 1.094-1.627; p = 0.005). There may be gender differences in the association between dietary patterns and obesity in middle-aged and elderly populations in Shanghai, China.
authors.affiliation: Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China. 14211020024@fudan.edu.cn.
authors.forename: Ya-Qun
authors.initials: YQ
authors.lastname: Yuan
authors.affiliation: Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China. 11307120186@fudan.edu.cn.
authors.forename: Fan
authors.initials: F
authors.lastname: Li
authors.affiliation: Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China. 12211020059@fudan.edu.cn.
authors.forename: Pai
authors.initials: P
authors.lastname: Meng
authors.affiliation: Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China. 13211020024@fudan.edu.cn.
authors.forename: Jie
authors.initials: J
authors.lastname: You
authors.affiliation: Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China. wumin@shmu.edu.cn.
authors.forename: Min
authors.initials: M
authors.lastname: Wu
authors.affiliation: Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China. leeshuguang@fudan.edu.cn.
authors.forename: Shu-Guang
authors.initials: SG
authors.lastname: Li
authors.affiliation: Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China. chenb@fudan.edu.cn.
authors.forename: Bo
authors.initials: B
authors.lastname: Chen
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000208:ethnology; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D004032:Diet / Q000009:adverse effects* / Q000208:ethnology; D058620:Elder Nutritional Physiological Phenomena / Q000208:ethnology; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D009765:Obesity / Q000453:epidemiology / Q000208:ethnology / Q000209:etiology*; D056128:Obesity, Abdominal / Q000453:epidemiology / Q000208:ethnology / Q000209:etiology*; D015995:Prevalence; D025341:Principal Component Analysis; D012307:Risk Factors; D012737:Sex Factors; D014504:Urban Health / Q000208:ethnology; D055105:Waist Circumference
keywords: dietary patterns; factor analysis; gender difference; middle-aged and elderly Chinese people; obesity