Predictors of daily mobility of adults in peri-urban South India

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-u...

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Detalles Bibliográficos
Autores: Sanchez, Margaux, Ambrós, Albert, Salmon, Maëlle, Bhogadi, Santhi, Wilson, Robin T., Kinra, Sanjay, Marshall, Julian D., Tonne, Cathryn
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/69058
Acceso en línea:http://hdl.handle.net/10230/69058
http://dx.doi.org/10.3390/ijerph14070783
Access Level:acceso abierto
Palabra clave:Gender
Global Positioning System (GPS)
India
Principal Component Analysis (PCA)
Spatial behavior
Time-activity patterns
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spelling Predictors of daily mobility of adults in peri-urban South IndiaSanchez, MargauxAmbrós, AlbertSalmon, MaëlleBhogadi, SanthiWilson, Robin T.Kinra, SanjayMarshall, Julian D.Tonne, CathrynGenderGlobal Positioning System (GPS)IndiaPrincipal Component Analysis (PCA)Spatial behaviorTime-activity patternsDaily 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.The research leading to these results received funding from the European Research Council under European Research Council (ERC) Grant Agreement number 336167 for the CHAI Project. The third wave of data collection and village socio-demographic surveys for the APCAPS study were funded by the Wellcome Trust (Grant: 084674/Z). The funding bodies were not involved in the design of the study and collection, analysis, and interpretation of data, and in writing and submitting the manuscript. The Defense Meteorological Satellite Program night-time light intensity data were processed by the US National Oceanic and Atmospheric Administration Geophysical Data Center and collected by the US Air Force Weather Agency. ISGlobal is a member of the Catalan Research Centres Institute (CERCA) Programme, Generalitat de Catalunya, Spain. We thank all participants of the APCAPS and CHAI studies as well as the study teams who made the research possible.MDPI202520252017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/69058http://dx.doi.org/10.3390/ijerph14070783reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésInternational Journal of Environmental Research and Public Health. 2017 Jul 14;14(7):783info:eu-repo/grantAgreement/EC/FP7/336167© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/690582026-06-12T07:21:37Z
dc.title.none.fl_str_mv Predictors of daily mobility of adults in peri-urban South India
title Predictors of daily mobility of adults in peri-urban South India
spellingShingle Predictors of daily mobility of adults in peri-urban South India
Sanchez, Margaux
Gender
Global Positioning System (GPS)
India
Principal Component Analysis (PCA)
Spatial behavior
Time-activity patterns
title_short Predictors of daily mobility of adults in peri-urban South India
title_full Predictors of daily mobility of adults in peri-urban South India
title_fullStr Predictors of daily mobility of adults in peri-urban South India
title_full_unstemmed Predictors of daily mobility of adults in peri-urban South India
title_sort Predictors of daily mobility of adults in peri-urban South India
dc.creator.none.fl_str_mv Sanchez, Margaux
Ambrós, Albert
Salmon, Maëlle
Bhogadi, Santhi
Wilson, Robin T.
Kinra, Sanjay
Marshall, Julian D.
Tonne, Cathryn
author Sanchez, Margaux
author_facet Sanchez, Margaux
Ambrós, Albert
Salmon, Maëlle
Bhogadi, Santhi
Wilson, Robin T.
Kinra, Sanjay
Marshall, Julian D.
Tonne, Cathryn
author_role author
author2 Ambrós, Albert
Salmon, Maëlle
Bhogadi, Santhi
Wilson, Robin T.
Kinra, Sanjay
Marshall, Julian D.
Tonne, Cathryn
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Gender
Global Positioning System (GPS)
India
Principal Component Analysis (PCA)
Spatial behavior
Time-activity patterns
topic Gender
Global Positioning System (GPS)
India
Principal Component Analysis (PCA)
Spatial behavior
Time-activity patterns
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/69058
http://dx.doi.org/10.3390/ijerph14070783
url http://hdl.handle.net/10230/69058
http://dx.doi.org/10.3390/ijerph14070783
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Environmental Research and Public Health. 2017 Jul 14;14(7):783
info:eu-repo/grantAgreement/EC/FP7/336167
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
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