Xueling Xin1, Weijing Wang1, Hui Xu1, Zongyao Li1, Dongfeng Zhang2. 1. Department of Epidemiology and Health Statistics, The College of Public Health of Qingdao University, 38 Dengzhou Road, Qingdao, 266021, Shandong, People's Republic of China. 2. Department of Epidemiology and Health Statistics, The College of Public Health of Qingdao University, 38 Dengzhou Road, Qingdao, 266021, Shandong, People's Republic of China. zhangdf1961@126.com.
Abstract
PURPOSE: Early life exposure to famine may affect the susceptibility to metabolic disorders including dyslipidemia. However, few studies explored the association between them in Chinese population. We aimed to evaluate the association between Chinese famine (1959-1961) exposure during early life and the risk of dyslipidemia in adulthood. METHODS: The study performed a historic cohort study and data were from China Health and Nutrition Survey conducted in 2009. A total of 4843 subjects born between 1941 and 1966 were categorized into fetal-infant exposed group (N = 433), childhood exposed group (N = 2132), adolescence exposed group (N = 1140), and unexposed group (N = 1138), respectively. Dyslipidemia was defined by Chinese adult dyslipidemia prevention guide (2016 edition). We compared fetal exposed group, childhood exposed group, and adolescence exposed group to unexposed group using logistic regression models to assess the effect of famine exposure on later dyslipidemia. RESULTS: The prevalence of dyslipidemia among subjects in unexposed group, fetal exposed group, childhood exposed group, and adolescence exposed group was 56.40, 64.00, 63.90, and 63.90%, respectively. Compared with unexposed group, participants exposed to famine in fetal period (OR 1.34, 95% CI 1.05-1.70), childhood (OR 1.44, 95% CI 1.23-1.69), and adolescence (OR 1.41, 95% CI 1.17-1.71) had higher risks of dyslipidemia in adults after adjustment for potential confounders. CONCLUSION: Exposure to Chinese famine in early life was associated with increased risk of dyslipidemia in adulthood. Preventing undernutrition in early life is an appropriate recommendation to reduce the prevalence of later dyslipidemia.
PURPOSE: Early life exposure to famine may affect the susceptibility to metabolic disorders including dyslipidemia. However, few studies explored the association between them in Chinese population. We aimed to evaluate the association between Chinese famine (1959-1961) exposure during early life and the risk of dyslipidemia in adulthood. METHODS: The study performed a historic cohort study and data were from China Health and Nutrition Survey conducted in 2009. A total of 4843 subjects born between 1941 and 1966 were categorized into fetal-infant exposed group (N = 433), childhood exposed group (N = 2132), adolescence exposed group (N = 1140), and unexposed group (N = 1138), respectively. Dyslipidemia was defined by Chinese adult dyslipidemia prevention guide (2016 edition). We compared fetal exposed group, childhood exposed group, and adolescence exposed group to unexposed group using logistic regression models to assess the effect of famine exposure on later dyslipidemia. RESULTS: The prevalence of dyslipidemia among subjects in unexposed group, fetal exposed group, childhood exposed group, and adolescence exposed group was 56.40, 64.00, 63.90, and 63.90%, respectively. Compared with unexposed group, participants exposed to famine in fetal period (OR 1.34, 95% CI 1.05-1.70), childhood (OR 1.44, 95% CI 1.23-1.69), and adolescence (OR 1.41, 95% CI 1.17-1.71) had higher risks of dyslipidemia in adults after adjustment for potential confounders. CONCLUSION: Exposure to Chinese famine in early life was associated with increased risk of dyslipidemia in adulthood. Preventing undernutrition in early life is an appropriate recommendation to reduce the prevalence of later dyslipidemia.
Entities:
Keywords:
Adulthood; Dyslipidemia; Early life; Famine exposure
Authors: Chao Song; Meng Wang; Zheng Chen; Yecheng Yao; Ganyu Feng; Yanning Ma; Jing Fan; Ailing Liu Journal: Int J Environ Res Public Health Date: 2020-05-22 Impact factor: 3.390