Cargando…
Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS)
BACKGROUND: Variations in physical activity (PA) across nations may be driven by socioeconomic position. As national incomes increase, car ownership becomes within reach of more individuals. This report characterizes associations between car ownership and PA in African-origin populations across 5 si...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359522/ https://www.ncbi.nlm.nih.gov/pubmed/25885263 http://dx.doi.org/10.1186/s12889-015-1435-9 |
_version_ | 1782361423260680192 |
---|---|
author | Shoham, David A Dugas, Lara R Bovet, Pascal Forrester, Terrence E Lambert, Estelle V Plange-Rhule, Jacob Schoeller, Dale A Brage, Soren Ekelund, Ulf Durazo-Arvizu, Ramon A Cooper, Richard S Luke, Amy |
author_facet | Shoham, David A Dugas, Lara R Bovet, Pascal Forrester, Terrence E Lambert, Estelle V Plange-Rhule, Jacob Schoeller, Dale A Brage, Soren Ekelund, Ulf Durazo-Arvizu, Ramon A Cooper, Richard S Luke, Amy |
author_sort | Shoham, David A |
collection | PubMed |
description | BACKGROUND: Variations in physical activity (PA) across nations may be driven by socioeconomic position. As national incomes increase, car ownership becomes within reach of more individuals. This report characterizes associations between car ownership and PA in African-origin populations across 5 sites at different levels of economic development and with different transportation infrastructures: US, Seychelles, Jamaica, South Africa, and Ghana. METHODS: Twenty-five hundred adults, ages 25–45, were enrolled in the study. A total of 2,101 subjects had valid accelerometer-based PA measures (reported as average daily duration of moderate to vigorous PA, MVPA) and complete socioeconomic information. Our primary exposure of interest was whether the household owned a car. We adjusted for socioeconomic position using household income and ownership of common goods. RESULTS: Overall, PA levels did not vary largely between sites, with highest levels in South Africa, lowest in the US. Across all sites, greater PA was consistently associated with male gender, fewer years of education, manual occupations, lower income, and owning fewer material goods. We found heterogeneity across sites in car ownership: after adjustment for confounders, car owners in the US had 24.3 fewer minutes of MVPA compared to non-car owners in the US (20.7 vs. 45.1 minutes/day of MVPA); in the non-US sites, car-owners had an average of 9.7 fewer minutes of MVPA than non-car owners (24.9 vs. 34.6 minutes/day of MVPA). CONCLUSIONS: PA levels are similar across all study sites except Jamaica, despite very different levels of socioeconomic development. Not owning a car in the US is associated with especially high levels of MVPA. As car ownership becomes prevalent in the developing world, strategies to promote alternative forms of active transit may become important. |
format | Online Article Text |
id | pubmed-4359522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43595222015-03-15 Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS) Shoham, David A Dugas, Lara R Bovet, Pascal Forrester, Terrence E Lambert, Estelle V Plange-Rhule, Jacob Schoeller, Dale A Brage, Soren Ekelund, Ulf Durazo-Arvizu, Ramon A Cooper, Richard S Luke, Amy BMC Public Health Research Article BACKGROUND: Variations in physical activity (PA) across nations may be driven by socioeconomic position. As national incomes increase, car ownership becomes within reach of more individuals. This report characterizes associations between car ownership and PA in African-origin populations across 5 sites at different levels of economic development and with different transportation infrastructures: US, Seychelles, Jamaica, South Africa, and Ghana. METHODS: Twenty-five hundred adults, ages 25–45, were enrolled in the study. A total of 2,101 subjects had valid accelerometer-based PA measures (reported as average daily duration of moderate to vigorous PA, MVPA) and complete socioeconomic information. Our primary exposure of interest was whether the household owned a car. We adjusted for socioeconomic position using household income and ownership of common goods. RESULTS: Overall, PA levels did not vary largely between sites, with highest levels in South Africa, lowest in the US. Across all sites, greater PA was consistently associated with male gender, fewer years of education, manual occupations, lower income, and owning fewer material goods. We found heterogeneity across sites in car ownership: after adjustment for confounders, car owners in the US had 24.3 fewer minutes of MVPA compared to non-car owners in the US (20.7 vs. 45.1 minutes/day of MVPA); in the non-US sites, car-owners had an average of 9.7 fewer minutes of MVPA than non-car owners (24.9 vs. 34.6 minutes/day of MVPA). CONCLUSIONS: PA levels are similar across all study sites except Jamaica, despite very different levels of socioeconomic development. Not owning a car in the US is associated with especially high levels of MVPA. As car ownership becomes prevalent in the developing world, strategies to promote alternative forms of active transit may become important. BioMed Central 2015-02-21 /pmc/articles/PMC4359522/ /pubmed/25885263 http://dx.doi.org/10.1186/s12889-015-1435-9 Text en © Shoham et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Shoham, David A Dugas, Lara R Bovet, Pascal Forrester, Terrence E Lambert, Estelle V Plange-Rhule, Jacob Schoeller, Dale A Brage, Soren Ekelund, Ulf Durazo-Arvizu, Ramon A Cooper, Richard S Luke, Amy Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS) |
title | Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS) |
title_full | Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS) |
title_fullStr | Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS) |
title_full_unstemmed | Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS) |
title_short | Association of car ownership and physical activity across the spectrum of human development: Modeling the Epidemiologic Transition Study (METS) |
title_sort | association of car ownership and physical activity across the spectrum of human development: modeling the epidemiologic transition study (mets) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359522/ https://www.ncbi.nlm.nih.gov/pubmed/25885263 http://dx.doi.org/10.1186/s12889-015-1435-9 |
work_keys_str_mv | AT shohamdavida associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT dugaslarar associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT bovetpascal associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT forresterterrencee associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT lambertestellev associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT plangerhulejacob associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT schoellerdalea associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT bragesoren associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT ekelundulf associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT durazoarvizuramona associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT cooperrichards associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets AT lukeamy associationofcarownershipandphysicalactivityacrossthespectrumofhumandevelopmentmodelingtheepidemiologictransitionstudymets |