Relationship between both duration and quality of sleep, and metabolic syndrome identified by classification tree model in midlife population in Tianjin
10.3760/cma.j.cn112338-20191231-00924
- VernacularTitle:天津市中年人群睡眠状况与代谢综合征关系的决策树分析
- Author:
Yi PAN
1
;
Peng XIN
;
Wenlong ZHENG
;
Wei LI
;
Dezheng WANG
Author Information
1. 天津市疾病预防控制中心 300011
- Keywords:
Sleep;
Metabolic syndrome;
Influence factors;
Classification tree
- From:
Chinese Journal of Epidemiology
2020;41(8):1266-1271
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study the association of duration and quality of sleep with metabolic syndrome.Methods:Multi-stage cluster random sampling method was used to extract data from the '2015 adult chronic disease and nutrition monitoring population project’ from 42 communities of 7 districts in Tianjin. A total of 1 388 residents aged 45 to 59 years old were selected to analyze the relationship between both duration and quality of sleep and the metabolic syndrome. χ2 test, non-conditional logistic regression and classification tree models were used for data analysis. Result:The prevalence of metabolic syndrome appeared as 30.4%, 37.4 % and 43.1% in the poor, common or well sleep groups respectively. The prevalence rates of metabolic syndrome in the sleep time <6.0 h and >7.5 h, 6.0-7.5 h groups were 36.5% and 30.6% respectively. After adjusting for gender and age, results from the logistic regression analysis showed that short or long sleep duration, as well as poor sleep quality all appeared as risk factors on metabolic syndrome ( P<0.05). According to the classification tree model, factors as gender (importance: 0.004, standardized importance: 100%), quality of sleep (importance: 0.004, standardized importance: 99.5%), duration of sleep (importance: 0.002, standardized importance: 38.6%), education level (importance: 0.001, standardized importance: 22.3%) and salt intake (importance: 0.001, standardized importance: 22.2%) were all important on metabolic syndrome and with interactive effects. Conclusions:Both quality and duration of sleep were important influencing factors on metabolic syndrome among midlife population in Tianjin. More attention should be paid to sleep and health status among the midlife population. Ability on self-management of health should also be strengthened through health education, to prevent metabolic syndrome and other chronic diseases in this population.
