Yuan Zhang1, Yonglan Wei2, Dan Tang1, Jiaojiao Lu1, Ning Zhang1, Yifan Hu1, Ruifeng He3, Han Guan4, Jingru Xu5, Songmei Wang6, Xing Zhao1, Kangzhuo Baima7,8, Xiong Xiao9. 1. West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, People's South Road, Chengdu, 610041, Sichuan, China. 2. The Chengdu Center for Disease Control and Prevention, Chengdu, China. 3. Tibet Centre for Disease Control and Prevention, Lhasa, China. 4. School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China. 5. Chongqing Municipal Centre for Disease Control and Prevention, Chongqing, China. 6. School of Public Health, Kunming Medical University, Kunming, China. 7. Division of Pulmonary Diseases, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China. bmkz123@163.com. 8. School of Medicine, Tibet University, No.10, East Tibet University Road, Lhasa, 850000, China. bmkz123@163.com. 9. West China School of Public Health and West China Fourth Hospital, Sichuan University, No.16, People's South Road, Chengdu, 610041, Sichuan, China. xiaoxiong.scu@scu.edu.cn.
Abstract
PURPOSE: Dietary behavior is an important part of lifestyle interventions for obesity and its cardiovascular comorbidities. However, little is known about associations between dietary patterns and obesity phenotypes in Southwest China, a region with unique dietary patterns and significant heterogeneity in obesity. METHODS: Data from the baseline survey of the China Multi-Ethnic Cohort in Southwest China were analyzed (n = 64,448). Dietary intakes during the past year were measured with the semi-quantitative Food Frequency Questionnaire (s-FFQ). Principal component factor analysis (PCFA) was used to identify dietary patterns. Multinomial logistic regressions were used to examine the associations between dietary patterns and obesity phenotypes and stratified analyses were performed to assess whether the associations differed across demographic variables. RESULTS: Three dietary patterns were identified and then named according to their apparent regional gathering characteristics: the Sichuan Basin dietary pattern (characterized by high intakes of various foods), the Yunnan-Guizhou Plateau dietary pattern (characterized by agricultural lifestyles), and the Qinghai-Tibet Plateau dietary pattern (characterized by animal husbandry lifestyles), respectively. Higher adherence to the Sichuan Basin dietary pattern was positively associated with metabolically healthy overweight/obesity (MHO, OR 1.13, 95% CI 1.05-1.21) but negatively associated with metabolically unhealthy normal weight (MUNW, OR 0.78, 95% CI 0.65-0.95). Higher adherence to the other two dietary patterns was positively associated with MHO and metabolically unhealthy overweight/obesity (MUO). Besides, differences in socioeconomic status also affected the relationship between dietary patterns and obesity phenotypes. CONCLUSIONS: Adherence to the more diverse Sichuan basin dietary pattern performed a mixed picture, while the other two may increase the risk of obesity phenotypes, which indicates nutritional interventions are urgently needed.
PURPOSE: Dietary behavior is an important part of lifestyle interventions for obesity and its cardiovascular comorbidities. However, little is known about associations between dietary patterns and obesity phenotypes in Southwest China, a region with unique dietary patterns and significant heterogeneity in obesity. METHODS: Data from the baseline survey of the China Multi-Ethnic Cohort in Southwest China were analyzed (n = 64,448). Dietary intakes during the past year were measured with the semi-quantitative Food Frequency Questionnaire (s-FFQ). Principal component factor analysis (PCFA) was used to identify dietary patterns. Multinomial logistic regressions were used to examine the associations between dietary patterns and obesity phenotypes and stratified analyses were performed to assess whether the associations differed across demographic variables. RESULTS: Three dietary patterns were identified and then named according to their apparent regional gathering characteristics: the Sichuan Basin dietary pattern (characterized by high intakes of various foods), the Yunnan-Guizhou Plateau dietary pattern (characterized by agricultural lifestyles), and the Qinghai-Tibet Plateau dietary pattern (characterized by animal husbandry lifestyles), respectively. Higher adherence to the Sichuan Basin dietary pattern was positively associated with metabolically healthy overweight/obesity (MHO, OR 1.13, 95% CI 1.05-1.21) but negatively associated with metabolically unhealthy normal weight (MUNW, OR 0.78, 95% CI 0.65-0.95). Higher adherence to the other two dietary patterns was positively associated with MHO and metabolically unhealthy overweight/obesity (MUO). Besides, differences in socioeconomic status also affected the relationship between dietary patterns and obesity phenotypes. CONCLUSIONS: Adherence to the more diverse Sichuan basin dietary pattern performed a mixed picture, while the other two may increase the risk of obesity phenotypes, which indicates nutritional interventions are urgently needed.
Authors: Ri Li; Wenchen Li; Zhijun Lun; Huiping Zhang; Zhi Sun; Joseph Sam Kanu; Shuang Qiu; Yi Cheng; Yawen Liu Journal: BMC Public Health Date: 2016-04-01 Impact factor: 3.295
Authors: Xuefei Tian; Kazunori Inoue; Yan Zhang; Ying Wang; C John Sperati; Christopher E Pedigo; Tingting Zhao; Meihua Yan; Marwin Groener; Dennis G Moledina; Karen Ebenezer; Wei Li; Zhenhai Zhang; Dan A Liebermann; Lois Greene; Peter Greer; Chirag R Parikh; Shuta Ishibe Journal: JCI Insight Date: 2020-11-19