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environmental correlates of overall and neighborhood based recreational walking (a cross-sectional analysis of the RECORD Study)

BACKGROUND: Preliminary evidence suggests that recreational walking has different environmental determinants than utilitarian walking. However, previous studies are limited in their assessment of environmental exposures and recreational walking and in the applied modeling strategies. Accounting for...

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Published in:The international journal of behavioral nutrition and physical activity 2014-02, Vol.11 (1), p.20-20
Main Authors: Chaix, Basile, Simon, Chantal, Charreire, Hélène, Thomas, Frédérique, Kestens, Yan, Karusisi, Noëlla, Vallée, Julie, Oppert, Jean-Michel, Weber, Christiane, Pannier, Bruno
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container_title The international journal of behavioral nutrition and physical activity
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creator Chaix, Basile
Simon, Chantal
Charreire, Hélène
Thomas, Frédérique
Kestens, Yan
Karusisi, Noëlla
Vallée, Julie
Oppert, Jean-Michel
Weber, Christiane
Pannier, Bruno
description BACKGROUND: Preliminary evidence suggests that recreational walking has different environmental determinants than utilitarian walking. However, previous studies are limited in their assessment of environmental exposures and recreational walking and in the applied modeling strategies. Accounting for individual sociodemographic profiles and weather over the walking assessment period, the study examined whether numerous street network-based neighborhood characteristics related to the sociodemographic, physical, service, social-interactional, and symbolic environments were associated with overall recreational walking and recreational walking in one’s residential neighborhood and could explain their spatial distribution. METHODS: Based on the RECORD Cohort Study (Paris region, France, n = 7105, 2007–2008 data), multilevel-spatial regression analyses were conducted to investigate environmental factors associated with recreational walking (evaluated by questionnaire at baseline). A risk score approach was applied to quantify the overall disparities in recreational walking that were predicted by the environmental determinants. RESULTS: Sixty-nine percent of the participants reported recreational walking over the past 7 days. Their mean reported recreational walking time was 3h31mn. After individual-level adjustment, a higher neighborhood education, a higher density of destinations, green and open spaces of quality, and the absence of exposure to air traffic were associated with higher odds of recreational walking and/or a higher recreational walking time in one’s residential neighborhood. As the overall disparities that were predicted by these environmental factors, the odds of reporting recreational walking and the odds of a higher recreational walking time in one’s neighborhood were, respectively, 1.59 [95% confidence interval (CI): 1.56, 1.62] times and 1.81 (95% CI: 1.73, 1.87) times higher in the most vs. the least supportive environments (based on the quartiles). CONCLUSIONS: Providing green/open spaces of quality, building communities with services accessible from the residence, and addressing environmental nuisances such as those related to air traffic may foster recreational walking in one’s environment.
doi_str_mv 10.1186/1479-5868-11-20
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However, previous studies are limited in their assessment of environmental exposures and recreational walking and in the applied modeling strategies. Accounting for individual sociodemographic profiles and weather over the walking assessment period, the study examined whether numerous street network-based neighborhood characteristics related to the sociodemographic, physical, service, social-interactional, and symbolic environments were associated with overall recreational walking and recreational walking in one’s residential neighborhood and could explain their spatial distribution. METHODS: Based on the RECORD Cohort Study (Paris region, France, n = 7105, 2007–2008 data), multilevel-spatial regression analyses were conducted to investigate environmental factors associated with recreational walking (evaluated by questionnaire at baseline). A risk score approach was applied to quantify the overall disparities in recreational walking that were predicted by the environmental determinants. RESULTS: Sixty-nine percent of the participants reported recreational walking over the past 7 days. Their mean reported recreational walking time was 3h31mn. After individual-level adjustment, a higher neighborhood education, a higher density of destinations, green and open spaces of quality, and the absence of exposure to air traffic were associated with higher odds of recreational walking and/or a higher recreational walking time in one’s residential neighborhood. As the overall disparities that were predicted by these environmental factors, the odds of reporting recreational walking and the odds of a higher recreational walking time in one’s neighborhood were, respectively, 1.59 [95% confidence interval (CI): 1.56, 1.62] times and 1.81 (95% CI: 1.73, 1.87) times higher in the most vs. the least supportive environments (based on the quartiles). 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A risk score approach was applied to quantify the overall disparities in recreational walking that were predicted by the environmental determinants. RESULTS: Sixty-nine percent of the participants reported recreational walking over the past 7 days. Their mean reported recreational walking time was 3h31mn. After individual-level adjustment, a higher neighborhood education, a higher density of destinations, green and open spaces of quality, and the absence of exposure to air traffic were associated with higher odds of recreational walking and/or a higher recreational walking time in one’s residential neighborhood. 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However, previous studies are limited in their assessment of environmental exposures and recreational walking and in the applied modeling strategies. Accounting for individual sociodemographic profiles and weather over the walking assessment period, the study examined whether numerous street network-based neighborhood characteristics related to the sociodemographic, physical, service, social-interactional, and symbolic environments were associated with overall recreational walking and recreational walking in one’s residential neighborhood and could explain their spatial distribution. METHODS: Based on the RECORD Cohort Study (Paris region, France, n = 7105, 2007–2008 data), multilevel-spatial regression analyses were conducted to investigate environmental factors associated with recreational walking (evaluated by questionnaire at baseline). A risk score approach was applied to quantify the overall disparities in recreational walking that were predicted by the environmental determinants. RESULTS: Sixty-nine percent of the participants reported recreational walking over the past 7 days. Their mean reported recreational walking time was 3h31mn. After individual-level adjustment, a higher neighborhood education, a higher density of destinations, green and open spaces of quality, and the absence of exposure to air traffic were associated with higher odds of recreational walking and/or a higher recreational walking time in one’s residential neighborhood. As the overall disparities that were predicted by these environmental factors, the odds of reporting recreational walking and the odds of a higher recreational walking time in one’s neighborhood were, respectively, 1.59 [95% confidence interval (CI): 1.56, 1.62] times and 1.81 (95% CI: 1.73, 1.87) times higher in the most vs. the least supportive environments (based on the quartiles). CONCLUSIONS: Providing green/open spaces of quality, building communities with services accessible from the residence, and addressing environmental nuisances such as those related to air traffic may foster recreational walking in one’s environment.</abstract><cop>England</cop><pub>Springer-Verlag</pub><pmid>24555820</pmid><doi>10.1186/1479-5868-11-20</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-1631-8630</orcidid><orcidid>https://orcid.org/0000-0002-1260-9812</orcidid><orcidid>https://orcid.org/0000-0003-2619-5750</orcidid><orcidid>https://orcid.org/0000-0001-8701-3047</orcidid><orcidid>https://orcid.org/0000-0002-7820-3233</orcidid><orcidid>https://orcid.org/0000-0002-5384-5889</orcidid><oa>free_for_read</oa></addata></record>
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ispartof The international journal of behavioral nutrition and physical activity, 2014-02, Vol.11 (1), p.20-20
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1479-5868
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source Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central
subjects Adult
Aged
Analysis
cohort studies
confidence interval
Cross-Sectional Studies
Education
Environment Design
environmental assessment
environmental factors
Female
Food and Nutrition
Humans
Initiatives
Life Sciences
Male
Middle Aged
Neighborhoods
Nitrogen dioxide
open space
Paris
Public transportation
Questionnaires
Recreation
regression analysis
Residence Characteristics
residential areas
Retrospective Studies
risk
Roads & highways
School violence
Shopping centers
Social interaction
Sociodemographics
Socioeconomic Factors
Surveys and Questionnaires
Traffic
Violence
walking
Walking - statistics & numerical data
Weather
title environmental correlates of overall and neighborhood based recreational walking (a cross-sectional analysis of the RECORD Study)
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