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研究个体时间利用和活动参与与其健康指标之间的关系

Examining the relationships between individual’s time use and activity participations with their health indicators

作者:Yusak O. Susilo;Chengxi Liu;

关键词:Day-to-day variability,In-home and out-of-home activity participations,Physical mental and social health indicators,Indonesia

DOI:https://doi.org/10.1007/s12544-017-0243-y

发表时间:2017年

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摘要

目的通过为期三周的家庭活动-旅行调查,探讨个人自我报告的身体、心理和社会健康状况与其不同类型的在家和外出时间分配之间的关系方法建立路径模型来研究活动-旅行时间使用对自我报告的健康状况的作用,同时还考虑社会人口统计和居住环境特征。结果模型结果揭示了不同类型的活动和强度对个人自我报告的健康状况的异质影响。然而,这项研究并没有发现骑自行车和步行与自我报告的身体健康状况之间存在正相关关系的证据,而这种关系在许多发达国家都已发现。据推测,这是因为在印度尼西亚等发展中国家,步行和骑自行车的人可能属于经济弱势群体,他们对自己的健康状况不太了解。结论除了活动和出行时间使用因素之外研究发现,无论受访者的性别和收入如何,年龄和工作状况都会显着影响自我报告的健康状况。人口密度等社区特征也与受访者自我报告的身体、社会和心理健康状况呈正相关。


Abstract

PurposeUsing a three-week household activity-travel survey, this paper explores the relationship between individuals’ self-reported physical, mental and social health conditions and their time allocation for different types of in-home and out-of-home time activities.MethodsA path model is developed to investigate the roles of activity-travel time use on the self-reported health conditions, while the socio-demographics and residential environment characteristics are also considered.ResultsThe model results reveal heterogeneous impacts of different types of activities and intensities on individual’s self-reported health conditions. This study, however, did not find evidence of positive relationship between cycling and walking and self-reported physical health condition, which has been found in many developed countries. Presumably this is because in developing countries like Indonesia the individuals who walk and cycle are likely to be a part of economically disadvantaged groups who have less awareness to their own health conditions.ConclusionBeside activity and travel time use factors, age and working status were found significantly affecting the self-reported health conditions, regardless of respondents’ gender and income. Neighbourhood characteristics, such as population density, are also found positively correlated to self-reported respondents’ physical, social and mental health conditions.