Built environment and health

Office of the Associate Director, Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Executive Plaza North MSC 7344, Bethesda, MD 20892-7344, USA.
Preventive Medicine (Impact Factor: 3.09). 08/2008; 47(3):239-40. DOI: 10.1016/j.ypmed.2008.07.010
Source: PubMed
Download full-text


Available from: David Berrigan, Aug 22, 2014
1 Follower
21 Reads
  • Source
    • "Specifically, GIS provides a platform connecting the individual with the environment allowing researchers to inspect the distribution of diseases and investigate potentially modifiable ecological explanations for disease clusters, which may clarify the aetiology of health-related events (Chen et al., 2008; Du et al., 2010). The spatial data that could objectively describe the physical environment are increasingly used to understand how the physical environment is associated with, for example, obesity, asthma and stress-related outcomes (Maantay, 2002; Berrigan and McKinnon, 2008; Tucker et al., 2009; Matthews and Yang, 2010). Clearly, a spatial perspective and spatial modelling should facilitate the examination of the local dynamics between population and environment (Fotheringham, 1997; Haining, 2003). "
    [Show abstract] [Hide abstract]
    ABSTRACT: Beyond individual-level factors, researchers have adopted a spatial perspective to explore potentially modifiable environmental determinants of health. A spatial perspective can be integrated into health research by incorporating spatial data into studies or analysing georeferenced data. Given the rapid changes in data collection methods and the complex dynamics between individuals and environment, we argue that geographical information system (GIS) functions have shortcomings with respect to analytical capability and are limited when it comes to visualizing the temporal component in spatio-temporal data. In addition, we maintain that relatively little effort has been made to handle spatial heterogeneity. To that end, health researchers should be persuaded to better justify the theoretical meaning underlying the spatial matrix in analysis, while spatial data collectors, GIS specialists, spatial analysis methodologists and the different breeds of users should be encouraged to work together making health research move forward through addressing these issues.
    Geospatial health 05/2013; 7(2):161-8. DOI:10.4081/gh.2013.77 · 1.19 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Perceived proximity to recreational settings has been shown to be associated with increased physical activity levels. We examined individual socio-demographic and environmental correlates of perceived park proximity in Montreal to assess targets for ecological interventions to improve physical activity. A stratified clustered sampling design was used to collect data on perceived park proximity from 864 adults residing in 300 Montreal census tracts. Perceived park proximity was measured by asking participants if they perceived a park as within walking distance of their home. Objective measures of park proximity and park density were constructed using geographic information systems (GIS). Canada Census data provided information on census tract population density and median income levels. Multilevel logistic regression was used to examine the likelihood of not perceiving a park as proximate. Older adults were more likely to perceive a park as not proximate to their home (OR: 1.04; 95% CI: 1.02-1.07). Perceived park proximity varied across Montreal neighbourhoods with an interclass correlation coefficient of 16.10%. Objective distance to the closest park (OR: 1.45; 95% CI: 1.10-1.92) was associated with adults' subjective perceptions of park proximity. Residents of neighbourhoods with higher population density (OR: 0.92; 95% CI: 0.87-0.97) and higher average income (OR: 0.45; 95% CI: 0.24-0.87) were less likely to view a park as outside walking distance to their residence. Regardless of the actual distance to the park, neighbourhood environmental factors are associated with people's perceptions of having a park within walking distance of their homes.
    Canadian journal of public health. Revue canadienne de santé publique 01/2011; 102(3):176-9. · 1.02 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Municipalities all over the globe seek to evaluate the sustainability of their communities and this process requires an interdisciplinary perspective. Walkability and social capital are important measures of sustainable communities that are not necessarily considered together in measurement schemes. Through a community-based case study, the following article examines the relationship between select measures of social capital and self-perceived walkability. Descriptive statistics demonstrated that higher levels of social capital existed in more walkable communities. More sophisticated analysis further supported this association. A community index was created from responses to questions about participating in civic engagement activities such as donating blood, attending a committee meeting or public hearing, interacting with individuals in various neighborhoods, and contributing to a community project. A trust index was also created with answers to survey questions about general trust and trust of neighbors and other members of communities. Multilevel models demonstrated that higher levels of walkability were associated with higher levels of participation in community activities, even after controlling for socio-demographic factors. Similar patterns were found for the trust index where higher levels of walkability were positively associated with positive responses to a variety of trust questions. Implications for sustainable communities policy and management are suggested.
    06/2012; 2(2). DOI:10.1007/s13412-012-0068-x
Show more