Characteristics of the built environment associated with leisure-time physical activity among adults in Bogotá, Colombia: A multilevel study

División de salud, Fundacion FES Social, Bogotá, Colombia.
Journal of physical activity & health (Impact Factor: 1.95). 07/2010; 7 Suppl 2(Suppl 2):S196-203.
Source: PubMed

ABSTRACT Even though there is increasing evidence that the built environment (BE) has an influence on leisure-time physical activity (LTPA), little is known about this relationship in developing countries. The objective of this study was to assess the associations between objective built environment characteristics and LTPA.
A cross-sectional multilevel study was conducted in 27 neighborhoods in which 1315 adults aged 18-65 years were surveyed. An adapted version of the IPAQ (long version) was used to assess LTPA. Objective BE characteristics were obtained using Geographic Information Systems. Associations were assessed using multilevel polytomous logistic regression.
Compared with inactive people, those who resided in neighborhoods with the highest tertile dedicated to parks (7.4% to 25.2%) were more likely to be regularly active (POR = 2.05, 95% CI = 1.13-3.72; P = 0.021). Those who resided in neighborhoods with presence of TransMilenio stations (mass public transportation system) were more likely to be irregularly active (POR = 1.27, 95% CI = 1.07-1.50, P = 0.009) as compared with inactive people.
These findings showed that park density and availability of TransMilenio stations at neighborhood level are positively associated with LTPA. Public health efforts to address physical inactivity should consider the potential influences of urban planning and mass public transportation systems on health.

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    • "Hence, results from another study conducted in Curitiba showed that proximity to gyms and even recreational centers is positively associated with LTPA (Hino et al., 2011). Additionally, access to green and attractive spaces is also associated with LTPA, in Bogotá, Colombia (Gomez et al., 2010). "
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    ABSTRACT: Leisure-time physical activity is a complex behavior influenced by factors at multiple levels. To examine the associations between intrapersonal, interpersonal, environmental factors and leisure-time walking (LTW) and leisure-time physical activities (LTPA), excluding walking. We also examined the moderating effect of sociodemographic characteristics on these associations. A cross-sectional study was conducted with 1,461 adults from Curitiba, Brazil (63.7% women). LTW and LTPA were assessed through the International Physical Activity Questionnaire (IPAQ), and a cutoff point of ≥150min/wk was used. Associations were examined through multilevel logistic regressions. LTW was positively associated with self-efficacy, enjoyment, social support from family and friends, presence of public places for leisure and neighborhood aesthetics. LTPA was associated with self-efficacy, enjoyment, social support from family and friends, safety from crime and neighborhood aesthetics. Safety from crime was a predictor of LTPA among older adults only. Factors at multiple levels were associated with LTW and LTPA. Interventions to promote LTPA would likely benefit from considering personal, social and environmental factors and different levels of influence.
    Preventive Medicine 11/2013; 58(1). DOI:10.1016/j.ypmed.2013.10.023 · 3.09 Impact Factor
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    • "Most studies of physical activity and built environments have been conducted in the USA, Australia and Western Europe, with recent studies extending findings to Japan [1], Colombia [2], China [3], Brazil [4], and elsewhere [5,6]. Though there have been important consistencies in the results [7], it is not possible to interpret different patterns of association by country because common methods were not employed. "
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    ABSTRACT: Background The IPEN (International Physical Activity and Environment Network) Adult project seeks to conduct pooled analyses of associations of perceived neighborhood environment, as measured by the Neighborhood Environment Walkability Scale (NEWS) and its abbreviated version (NEWS-A), with physical activity using data from 12 countries. As IPEN countries used adapted versions of the NEWS/NEWS-A, this paper aimed to develop scoring protocols that maximize cross-country comparability in responses. This information is also highly relevant to non-IPEN studies employing the NEWS/NEWS-A, which is one of the most popular measures of perceived environment globally. Methods The following countries participated in the IPEN Adult study: Australia, Belgium, Brazil, Colombia, Czech Republic, Denmark, Hong Kong, Mexico, New Zealand, Spain, the United Kingdom, and the United States. Participants (N = 14,305) were recruited from neighborhoods varying in walkability and socio-economic status. Countries collected data on the perceived environment using a self- or interviewer-administered version of the NEWS/NEWS-A. Confirmatory Factor Analysis (CFA) was used to derive comparable country-specific measurement models of the NEWS/NEWS-A. The level of correspondence between standard and alternative versions of the NEWS/NEWS-A factor-analyzable subscales was determined by estimating the correlations and mean standardized difference (Cohen’s d) between them using data from countries that had included items from both standard and alternative versions of the subscales. Results Final country-specific measurement models of the NEWS/NEWS-A provided acceptable levels of fit to the data and shared the same factorial structure with six latent factors and two single items. The correspondence between the standard and alternative versions of subscales of Land use mix – access, Infrastructure and safety for walking/cycling, and Aesthetics was high. The Brazilian version of the Traffic safety subscale was highly, while the Australian and Belgian versions were marginally, comparable to the standard version. Single-item versions of the Street connectivity subscale used in Australia and Belgium showed marginally acceptable correspondence to the standard version. Conclusions We have proposed country-specific modifications to the original scoring protocol of the NEWS/NEWS-A that enhance inter-country comparability. These modifications have yielded sufficiently equivalent measurement models of the NEWS/NEWS-A. Some inter-country discrepancies remain. These need to be considered when interpreting findings from different countries.
    BMC Public Health 04/2013; 13(1):309. DOI:10.1186/1471-2458-13-309 · 2.26 Impact Factor
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    • "However, work in this area is young and far from conclusive (Lachowycz and Jones, 2011). While some authors have found a positive association between measures of, or access to, green space and physical activity (Epstein et al., 2006; Giles-Corti and Donovan, 2002; Roemmich et al., 2006; Coombes et al., 2010; Gomez et al., 2010; Sugiyama et al., 2010), the associations are often weak, and are contradicted by other studies that have failed to find an association (Maas et al., 2008; Foster et al., 2009; Witten et al., 2008; Giles-Corti et al., 2005; Hillsdon et al., 2006). "
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    ABSTRACT: Past studies have suggested that a link between health outcomes and green space is due to increased levels of physical activity of individuals living in areas with more green space. We found a positive association between green space and physical activity levels. The odds of achieving the recommended amount of physical activity was 1.27 (95% CI: 1.13-1.44) for people living in the greenest quintile in England compared to those living in the least green quintile, after controlling for individual and environmental factors. However, no association was found between green space and types of physical activity normally associated with green space. An association was found with other types of physical activity (gardening and do-it-yourself, and occupational physical activity). These findings suggest that although there is a positive association between physical activity and green space it may not be explained by individuals using green space for recreation.
    Health & Place 06/2012; 18(5):1034-41. DOI:10.1016/j.healthplace.2012.06.003 · 2.81 Impact Factor
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