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

被引:30
|
作者
Sanchez, Margaux [1 ,2 ,3 ]
Ambros, Albert [1 ,2 ,3 ]
Salmon, Maelle [1 ,2 ,3 ]
Bhogadi, Santhi [4 ]
Wilson, Robin T. [5 ]
Kinra, Sanjay [6 ]
Marshall, Julian D. [7 ]
Tonne, Cathryn [1 ,2 ,3 ]
机构
[1] ISGlobal, Ctr Res Environm Epidemiol CREAL, Barcelona 08003, Spain
[2] Univ Pompeu Fabra, Barcelona 08002, Spain
[3] CIBERESP, Madrid 28029, Spain
[4] Publ Hlth Fdn India, New Delhi 110070, India
[5] Univ Southampton, Geog & Environm, Highfield Campus, Southampton SO17 1BJ, Hants, England
[6] London Sch Hyg & Trop Med, Dept Noncommunicable Dis Epidemiol, London WC1E 7HT, England
[7] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA
基金
欧洲研究理事会; 英国惠康基金;
关键词
gender; global positioning system (GPS); India; principal component analysis (PCA); spatial behavior; time-activity patterns; TIME-ACTIVITY PATTERNS; AIR-POLLUTION; OLDER-ADULTS; GPS DATA; PERSONAL EXPOSURE; PHYSICAL-ACTIVITY; ACTIVITY SPACES; URBAN; POPULATION; TRANSPORT;
D O I
10.3390/ijerph14070783
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:16
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