通勤方式对个人健康的影响研究——基于2014年中国劳动力动态调查数据的实证分析

EXPLORING THE IMPACTS OF COMMUTING MODES ON INDIVIDUAL HEALTH:AN EMPIRICAL ANALYSIS BASED ON CLDS(2014)

目前,中国肥胖人数已超过美国,位居世界第一。肥胖因其会引起诸多慢性非传染性疾病而成为中国城市公共健康的首要威胁。本研究基于2014年中国劳动力动态调查数据,从健康城市视角切入,综合采用描述性分析、多元线性回归和Logistic回归模型,探究了全国尺度下个人通勤方式特征、地区差异及其对个体肥胖和自评健康的影响。研究发现我国居民的通勤方式对BMI(身体质量指数)和自评健康的影响存在城乡和地区差异。此外,BMI和自评健康分别代表个体健康的客观和主观两个方面,通勤方式对BMI的影响主要体现在体力活动的多少,对自评健康的影响主要是交通环境造成的。

Currently, the number of obesity in China has surpassed the one in United States, ranking the first in the world. Obesity can cause many chronic and non-communicable diseases, which makes it the primary threat to the public health in cities in China. From the perspective of healthy cities, this study uses the descriptive analysis, multiple linear regression, and Logistic regression models, based on the data from 2014 China Labor Dynamic Survey （CLDS）, to explore the characteristics of commuting modes, regional differences, and their impacts on individual obesity and self-rated health at the national scale. The study finds out that there are differences between urban-rural areas and regions in the residents＇ choices of commuting modes to BMI and self-rated health. Also, BMI and self-rated health present respectively the objective and subjective aspects of individual health. The impacts of commuting modes on BMI are mainly achieved by the increased physical activities. And the impacts on self-rated health are mainly influenced by the traffic environment.