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模拟生活水平和以消费者为导向的行为对肥胖的综合影响。

Modeling the Mixed Effects of Living Standard and Consumer-oriented Behavior on Obesity.

作者信息

Zhang Tao

机构信息

Associate Professor, School of Public Administration, Macao Polytechnic Institute, Macao, China;, Email:

出版信息

Am J Health Behav. 2019 Jan 1;43(1):168-180. doi: 10.5993/AJHB.43.1.14.

Abstract

This study investigates how daily consumer-oriented behaviors affect the prevalence of obesity in the older population in China. The demographic characteristics and living standard indicators are considered to capture the effects of various factors on obesity. This study employs the discrete choice regressions to investigate the associations among 18 influential covariates and obesity for aging adults in China in 2013. The multi-level nature of collected data is also considered by utilizing mixed-effects models. The data set, including 18,617 randomly chosen observations from the China Health and Retirement Longitudinal Survey 2013 is used in the regressions. This study concerns the diversity of covariates representing the various daily consuming behaviors relating to the evolving living standard. A statistically significant association was found between the sedentary behavior and obesity for the aged people in China. The result also shows that aging women in China may have an increased propensity toward obesity compared to men. Daily consumer-oriented behaviors, including their influence on physical activity, can significantly reduce the risk of obesity; moreover, some sedentary behaviors, such as prolonged Internet use, likely will increase it. Important behaviors contributing to obesity are identified.

摘要

本研究调查了以消费者为导向的日常行为如何影响中国老年人口的肥胖患病率。人口统计学特征和生活水平指标被纳入考量,以捕捉各种因素对肥胖的影响。本研究采用离散选择回归分析,以探究2013年中国老年人中18个有影响力的协变量与肥胖之间的关联。通过使用混合效应模型,研究还考虑了所收集数据的多层次性质。回归分析中使用的数据集包括从2013年中国健康与养老追踪调查中随机选取的18617个观测值。本研究关注代表与不断变化的生活水平相关的各种日常消费行为的协变量的多样性。研究发现,久坐行为与中国老年人的肥胖之间存在统计学上的显著关联。结果还表明,与男性相比,中国老年女性可能更易肥胖。以消费者为导向的日常行为,包括其对身体活动的影响,可显著降低肥胖风险;此外,一些久坐行为,如长时间上网,可能会增加肥胖风险。研究确定了导致肥胖的重要行为。

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