Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Department of Physiopathology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China.
Int J Environ Res Public Health. 2020 Jan 25;17(3):763. doi: 10.3390/ijerph17030763.
This study examined the prevalence of suboptimal health among Chinese adults based on a large-scale national survey and clarified the relationship between suboptimal health and lifestyle factors. We used multi-level generalized estimating equation models to examine the relationships between suboptimal health and lifestyle factors. Of the 48,978 respondents, 34,021 reported one or more suboptimal health symptoms, giving a suboptimal health status prevalence of 69.46%. After controlling for the cluster effect of living areas and confounding effect of demographic characteristics, factors associated with suboptimal health were: current smoking (odds ratio (OR) = 1.083, 95% confidence interval (CI): 1.055-1.111), drinking alcohol (OR = 1.075, 95% CI: 1.025-1.127), family history of disease (OR = 1.203, 95% CI: 1.055-1.111), sleeping <6 h per day (OR = 1.235, 95% CI: 1.152-1.256), poor sleep quality (OR = 1.594, 95% CI: 1.515-1.676), stress (OR = 1.588, 95% CI: 1.496-1.686), negative life events (OR = 1.114, 95% CI: 1.045-1.187), unhealthy diet choices (OR = 1.093, 95% CI: 1.033-1.156), and not regularly having meals at fixed hours (OR = 1.231, 95% CI: 1.105-1.372). Respondents who exercised regularly had lower odds of having suboptimal health status (OR = 0.913, 95% CI: 0.849-0.983). Suboptimal health has become a serious public health challenge in China. The health status of the population could be effectively improved by improving lifestyle behaviors.
本研究基于大规模全国性调查，考察了中国成年人的亚健康流行状况，并阐明了亚健康与生活方式因素之间的关系。我们使用多层次广义估计方程模型来研究亚健康与生活方式因素之间的关系。在 48978 名受访者中，有 34021 人报告了一种或多种亚健康症状，亚健康状态的流行率为 69.46%。在控制居住地区的聚类效应和人口统计学特征的混杂效应后，与亚健康相关的因素有：当前吸烟（比值比（OR）=1.083，95%置信区间（CI）：1.055-1.111）、饮酒（OR=1.075，95%CI：1.025-1.127）、疾病家族史（OR=1.203，95%CI：1.055-1.111）、每天睡眠<6 小时（OR=1.235，95%CI：1.152-1.256）、睡眠质量差（OR=1.594，95%CI：1.515-1.676）、压力（OR=1.588，95%CI：1.496-1.686）、负性生活事件（OR=1.114，95%CI：1.045-1.187）、不健康的饮食选择（OR=1.093，95%CI：1.033-1.156）和不定时就餐（OR=1.231，95%CI：1.105-1.372）。经常锻炼的受访者亚健康状态的可能性较低（OR=0.913，95%CI：0.849-0.983）。亚健康已成为中国严重的公共卫生挑战。通过改善生活方式行为，可以有效提高人群的健康水平。
