23
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references58

          • Record: found
          • Abstract: found
          • Article: not found

          Increasing walking: how important is distance to, attractiveness, and size of public open space?

          Well-designed public open space (POS) that encourages physical activity is a community asset that could potentially contribute to the health of local residents. In 1995-1996, two studies were conducted-an environmental audit of POS over 2 acres (n =516) within a 408-km2 area of metropolitan Perth, Western Australia; and personal interviews with 1803 adults (aged 18 to 59 years) (52.9% response rate). The association between access to POS and physical activity was examined using three accessibility models that progressively adjusted for distance to POS, and its attractiveness and size. In 2002, an observational study examined the influence of attractiveness on the use of POS by observing users of three pairs of high- and low-quality (based on attractiveness) POS matched for size and location. Overall, 28.8% of respondents reported using POS for physical activity. The likelihood of using POS increased with increasing levels of access, but the effect was greater in the model that adjusted for distance, attractiveness, and size. After adjustment, those with very good access to large, attractive POS were 50% more likely to achieve high levels of walking (odds ratio, 1.50; 95% confidence level, 1.06-2.13). The observational study showed that after matching POS for size and location, 70% of POS users observed visited attractive POS. Access to attractive, large POS is associated with higher levels of walking. To increase walking, thoughtful design (and redesign) of POS is required that creates large, attractive POS with facilities that encourage active use by multiple users (e.g., walkers, sports participants, picnickers).
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Assessing the measurement properties of neighborhood scales: from psychometrics to ecometrics.

              Most studies examining the relation between residential environment and health have used census-derived measures of neighborhood socioeconomic position (SEP). There is a need to identify specific features of neighborhoods relevant to disease risk, but few measures of these features exist, and their measurement properties are understudied. In this paper, the authors 1) develop measures (scales) of neighborhood environment that are important in cardiovascular disease risk, 2) assess the psychometric and ecometric properties of these measures, and 3) examine individual- and neighborhood-level predictors of these measures. In 2004, data on neighborhood conditions were collected from a telephone survey of 5,988 residents at three US study sites (Baltimore, Maryland; Forsyth County, North Carolina; and New York, New York). Information collected covered seven dimensions of neighborhood environment (aesthetic quality, walking environment, availability of healthy foods, safety, violence, social cohesion, and activities with neighbors). Neighborhoods were defined as census tracts or census clusters. Cronbach's alpha coefficient ranged from 0.73 to 0.83, with test-retest reliabilities of 0.60-0.88. Intraneighborhood correlations were 0.28-0.51, and neighborhood reliabilities were 0.64-0.78 for census tracts for most scales. The neighborhood scales were strongly associated with neighborhood SEP but also provided information distinct from neighborhood SEP. These results illustrate a methodological approach for assessing the measurement properties of neighborhood-level constructs and show that these constructs can be measured reliably.
                Bookmark

                Author and article information

                Contributors
                Journal
                Int J Behav Nutr Phys Act
                Int J Behav Nutr Phys Act
                The International Journal of Behavioral Nutrition and Physical Activity
                BioMed Central
                1479-5868
                2014
                21 February 2014
                : 11
                : 20
                Affiliations
                [1 ]Inserm, U707, 27 rue Chaligny, 75012 Paris, France
                [2 ]Université Pierre et Marie Curie-Paris6, UMR-S 707, 27 rue Chaligny, 75012 Paris, France
                [3 ]Lyon University, Inserm U870, Inra U1235, CRNH Rhône-Alpes, Chemin du Grand Revoyet, 69310 Pierre Bénite, France
                [4 ]Université Paris-Est, Lab’Urba - Institut d’Urbanisme de Paris, 61 Avenue du général de Gaulle, 94010 Créteil, France
                [5 ]Centre d’Investigations Préventives et Cliniques, 6 rue La Pérouse, 75116 Paris, France
                [6 ]Social and Preventive Medicine Department, Université de Montréal, 7101 avenue du Parc, Montreal, QC H3N 1X7, Canada
                [7 ]CNRS, UMR Géographie-cités, 13 rue du Four, 75006 Paris, France
                [8 ]Inserm U557, Inra U1125, CNAM, EA3200, University Paris13, 74 rue Marcel Cachin, 93000 Bobigny, France
                [9 ]Department of Nutrition, Pitie-Salpetriere Hospital (AP-HP), CRNH IdF, University Pierre et Marie Curie-Paris6, 47-83, boulevard de l’Hôpital, 75013 Paris, France
                [10 ]ERL7230 CNRS Image, Ville, Environnement, 3 rue de l’Argonne, 67000 Strasbourg University, Strasbourg, France
                Article
                1479-5868-11-20
                10.1186/1479-5868-11-20
                3943269
                24555820
                95f75c26-375b-470d-b67e-61cba2849826
                Copyright © 2014 Chaix et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

                History
                : 4 March 2013
                : 17 February 2014
                Categories
                Research

                Nutrition & Dietetics
                walking,recreational activity,neighborhood environment,physical and social contexts,spatial analysis,geographic information systems

                Comments

                Comment on this article