首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model
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Prevalence of Suboptimal Health Status and the Relationships between Suboptimal Health Status and Lifestyle Factors among Chinese Adults Using a Multi-Level Generalized Estimating Equation Model

机译:使用多层次广义估计方程模型的中国成年人次优健康状况患病率及其与生活方式因素之间的关系

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摘要

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.
机译:这项研究基于一项大规模的全国性调查,调查了中国成年人次优健康的患病率,并阐明了次优健康与生活方式因素之间的关系。我们使用了多层次的广义估计方程模型来研究次佳健康与生活方式因素之间的关系。在48,978名受访者中,有34,021名报告了一种或多种次优健康症状,其次优健康状态患病率为69.46%。在控制了生活区的集群效应和人口统计学特征的混杂效应之后,与次优健康相关的因素包括:当前吸烟(优势比(OR)= 1.083,95%置信区间(CI):1.055–1.111),饮酒( OR = 1.075,95%CI:1.025–1.127),家族病史(OR = 1.203,95%CI:1.055–1.111),每天睡眠时间少于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),负面生活事件(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),并且不定期在固定时间进餐(OR = 1.231,95%CI:1.105–1.372)。定期运动的受访者健康状况欠佳的可能性较低(OR = 0.913,95%CI:0.849–0.983)。亚健康不足已成为中国严重的公共卫生挑战。通过改善生活方式,可以有效地改善人口的健康状况。

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