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印度南部城郊地区成年人日常活动能力的预测因素

Predictors of Daily Mobility of Adults in Peri-Urban South India.

作者信息

Sanchez Margaux, Ambros Albert, Salmon Maëlle, Bhogadi Santhi, Wilson Robin T, Kinra Sanjay, Marshall Julian D, Tonne Cathryn

机构信息

Centre for Research in Environmental Epidemiology (CREAL), ISGlobal, 08003 Barcelona, Spain.

Universitat Pompeu Fabra, 08002 Barcelona, Spain.

出版信息

Int J Environ Res Public Health. 2017 Jul 14;14(7):783. doi: 10.3390/ijerph14070783.

Abstract

Daily mobility, an important aspect of environmental exposures and health behavior, has mainly been investigated in high-income countries. We aimed to identify the main dimensions of mobility and investigate their individual, contextual, and external predictors among men and women living in a peri-urban area of South India. We used 192 global positioning system (GPS)-recorded mobility tracks from 47 participants (24 women, 23 men) from the Cardiovascular Health effects of Air pollution in Telangana, India (CHAI) project (mean: 4.1 days/person). The mean age was 44 (standard deviation: 14) years. Half of the population was illiterate and 55% was in unskilled manual employment, mostly agriculture-related. Sex was the largest determinant of mobility. During daytime, time spent at home averaged 13.4 (3.7) h for women and 9.4 (4.2) h for men. Women's activity spaces were smaller and more circular than men's. A principal component analysis identified three main mobility dimensions related to the size of the activity space, the mobility in/around the residence, and mobility inside the village, explaining 86% (women) and 61% (men) of the total variability in mobility. Age, socioeconomic status, and urbanicity were associated with all three dimensions. Our results have multiple potential applications for improved assessment of environmental exposures and their effects on health.

摘要

日常出行作为环境暴露和健康行为的一个重要方面,主要在高收入国家进行了研究。我们旨在确定出行的主要维度,并调查印度南部城郊地区居民中男性和女性的个体、环境及外部预测因素。我们使用了来自印度特伦甘纳邦空气污染对心血管健康影响项目(CHAI)的47名参与者(24名女性,23名男性)的192条全球定位系统(GPS)记录的出行轨迹(平均:4.1天/人)。平均年龄为44岁(标准差:14岁)。一半人口为文盲,55%从事非技术体力工作,大多与农业相关。性别是出行的最大决定因素。白天,女性在家平均停留时间为13.4(3.7)小时,男性为9.4(4.2)小时。女性的活动空间比男性更小且更呈圆形。主成分分析确定了与活动空间大小、住所内/周边出行以及村庄内出行相关的三个主要出行维度,解释了女性出行总变异性的86%和男性的61%。年龄、社会经济地位和城市化程度与所有三个维度都相关。我们的研究结果在改进环境暴露及其对健康影响的评估方面有多种潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bfc/5551221/3271b9fad8d3/ijerph-14-00783-g001.jpg

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