4.6 Article

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

Publisher

BIOMED CENTRAL LTD
DOI: 10.1186/1479-5868-11-20

Keywords

Walking; Recreational activity; Neighborhood environment; Physical and social contexts; Spatial analysis; Geographic Information Systems

Funding

  1. Institute for Public Health Research (IReSP, Institut de Recherche en Sante Publique)
  2. National Institute for Prevention and Health Education (INPES, Institut National de Prevention et d'Education pour la Sante)
  3. National Institute of Public Health Surveillance (InVS, Institut de Veille Sanitaire) (Territory and Health Program)
  4. French Ministries of Research and Health
  5. National Health Insurance Office for Salaried Workers (CNAM-TS, Caisse Nationale d'Assurance Maladie des Travailleurs Salaries)
  6. Ile-de-France Regional Council (Conseil Regional d'Ile-de-France, DIM SEnT and CODDIM)
  7. National Research Agency (ANR, Agence Nationale de la Recherche)
  8. Ile-de-France Regional Health Agency (ARS, Agence Regionale de Sante)
  9. City of Paris (Ville de Paris)
  10. Ile-de-France Youth, Sports, and Social Cohesion Regional Direction (DRJSCS, Direction Regionale de la Jeunesse, des Sports et de la Cohesion Sociale)
  11. Canadian Institutes for Health Research

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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.

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