Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study
Physical inactivity is a global pandemic responsible for over 5 million deaths annually through its effects on multiple non-communicable diseases. We aimed to document how objectively measured attributes of the urban environment are related to objectively measured physical activity, in an internatio...
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Published in | The Lancet (British edition) Vol. 387; no. 10034; pp. 2207 - 2217 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
28.05.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Physical inactivity is a global pandemic responsible for over 5 million deaths annually through its effects on multiple non-communicable diseases. We aimed to document how objectively measured attributes of the urban environment are related to objectively measured physical activity, in an international sample of adults.
We based our analyses on the International Physical activity and Environment Network (IPEN) adult study, which was a coordinated, international, cross-sectional study. Participants were sampled from neighbourhoods with varied levels of walkability and socioeconomic status. The present analyses of data from the IPEN adult study included 6822 adults aged 18–66 years from 14 cities in ten countries on five continents. Indicators of walkability, public transport access, and park access were assessed in 1·0 km and 0·5 km street network buffers around each participant's residential address with geographic information systems. Mean daily minutes of moderate-to-vigorous-intensity physical activity were measured with 4–7 days of accelerometer monitoring. Associations between environmental attributes and physical activity were estimated using generalised additive mixed models with gamma variance and logarithmic link functions.
Four of six environmental attributes were significantly, positively, and linearly related to physical activity in the single variable models: net residential density (exp[b] 1·006 [95% CI 1·003–1·009]; p=0·001), intersection density (1·069 [1·011–1·130]; p=0·019), public transport density (1·037 [1·018–1·056]; p=0·0007), and number of parks (1·146 [1·033–1·272]; p=0·010). Mixed land use and distance to nearest public transport point were not related to physical activity. The difference in physical activity between participants living in the most and least activity-friendly neighbourhoods ranged from 68 min/week to 89 min/week, which represents 45–59% of the 150 min/week recommended by guidelines.
Design of urban environments has the potential to contribute substantially to physical activity. Similarity of findings across cities suggests the promise of engaging urban planning, transportation, and parks sectors in efforts to reduce the health burden of the global physical inactivity pandemic.
Funding for coordination of the IPEN adult study, including the present analysis, was provided by the National Cancer Institute of National Institutes of Health (CA127296) with studies in each country funded by different sources. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 GS contributed data collection, drafted sections, and edited the manuscript. JS contributed to data collection, drafted sections, and edited the manuscript. MP contributed to securing funding, site selection, study design, data collection, and edited the manuscript. KLC contributed to study design, international data coordination, secured funding, data collection, led creation of accelerometer variables, drafted sections, and edited the manuscript. RD contributed to securing funding, data collection, and edited the manuscript. JK contributed to study design, international data coordination, secured funding, and edited the manuscript. P-CL contributed to data collection and edited the manuscript. JM contributed to securing funding, data collection, and edited the manuscript. RR contributed to securing funding, data collection, and edited the manuscript. OLS contributed to securing funding, data collection and edited the manuscript. GS contributed to securing funding, data collection, and edited the manuscript. JT contributed to securing funding, data collection, and edited the manuscript. DVD contributed to data collection and edited the manuscript. IDB contributed to study design, international data coordination, securing funding, data collection, and edited the manuscript. NO contributed to study design, international data coordination, securing funding, data interpretation, and edited the manuscript. JFS was the lead author and led study design, international data coordination, securing funding for international coordination, literature search, and data interpretation. EC contributed to study design, securing funding, literature search, data collection, data analysis, data interpretation, drafted sections, and edited the manuscript. TLC contributed to study design, international data coordination, data collection, data interpretation, drafted sections, and edited the manuscript. MAA contributed to international data coordination, creation of GIS variables, drafted sections, and edited the manuscript. LDF contributed to study design, international data coordination, creation of GIS variables, data interpretation, drafted sections, and edited the manuscript. DS contributed to literature search, site selection, data collection, drafted sections, and edited the manuscript. Contributors |
ISSN: | 0140-6736 1474-547X |
DOI: | 10.1016/S0140-6736(15)01284-2 |