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      Exploring Neighborhood Environments and Active Commuting in Chennai, India

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          Abstract

          Few studies assess built environment correlates of active commuting in low-and-middle-income countries (LMICs), but the different context could yield distinct findings. Policies and investments to promote active commuting remain under-developed in LMICs like India, which grapples with traffic congestion, lack of activity-supportive infrastructure, poor enforcement of traffic rules and regulations, air pollution, and overcrowding. This cross-sectional study investigated associations between home neighborhood environment characteristics and active commuting in Chennai, India. Adults (N = 370, 47.2% female, mean age = 37.9 years) were recruited from 155 wards in the metropolitan area of Chennai in southern India between January and June 2015. Participants self-reported their usual mode of commute to work, with responses recoded into three categories: (1) multi-modal or active commuting (walking and bicycling; n = 56); (2) public transit (n = 52); and (3) private transport (n = 111). Environmental attributes around participants’ homes were assessed using the Neighborhood Environment Walkability Scale for India (NEWS-India). Associations between environmental characteristics and likelihood of active commuting and public transit use were modeled using logistic regression with private transport (driving alone or carpool) as the reference category, adjusting for age, gender, and household car ownership. Consistent with other international studies, participants living in neighborhoods with a mix of land uses and a transit stop within a 10-minute walk from home were more likely to use active commuting (both p < 0.01). Land-use mix was significantly associated with the use of public transit compared to private transport (adjusted odds ratio (aOR) = 5.2, p = 0.002). Contrary to findings in high-income countries, the odds of active commuting were reduced with improved safety from crime (aOR = 0.2, p = 0.003), aesthetics (aOR = 0.2, p = 0.05), and street connectivity (aOR = 0.2, p = 0.003). Different environmental attributes were associated with active commuting, suggesting that these relationships are complex and may distinctly differ from those in high-income countries. Unexpected inverse associations of perceived safety from crime and aesthetics with active commuting emphasize the need for high-quality epidemiologic studies with greater context specificity in the study of physical activity in LMICs. Findings have public health implications for India and suggest that caution should be taken when translating evidence across countries.

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          City planning and population health: a global challenge

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            Gender differences in leisure-time physical activity

            Summary. Objectives: To explore the association between gender and leisure-time physical activity in a population-based sample of adults living in Brazil. To study a variety of variables possibly associated with physical activity levels. Methods: A multistage sampling of households was undertaken in Pelotas, a medium-sized Southern Brazilian city. Leisure-time physical activity was measured using the long version of the International Physical Activity Questionnaire. Data on potential predictors of leisure-time physical activity behavior were collected using a standardized questionnaire. 1 344 men and 1 756 women were interviewed. Several definitions of moderate and vigorous-intensity physical activity were used. Results: Regardless of the guideline used, males were more active than women. Socioeconomic level was positively associated with leisure-time physical activity in both genders. A positive dose-response between age and inactivity was found in men, but not among women. Conclusions: Because men and women have different levels of physical activity, and the variables associated with activity levels are not consistent across the genders, interventions promoting physical activity should take these differences into account.
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              The built environment, neighborhood crime and constrained physical activity: an exploration of inconsistent findings.

              Personal safety is commonly cited in qualitative research as a barrier to local walking, yet the relationship between safety and constrained physical activity has received mixed support in quantitative studies. This paper reviews the quantitative evidence to date, seeking to explain the inconsistencies, and offers recommendations for future research. A social-ecological framework was adopted to explore the evidence linking crime-related safety, and factors that influence real and perceived safety, with constrained physical activity. Perceived safety tends to affect the physical activity of groups already known to exhibit greater anxiety about crime; and some elements of the built environment that influence safety appear to constrain physical activity. However the evidence is somewhat inconsistent, and this may be partly attributed to measurement limitations. Many studies employ generic safety measures that make implicit references to crime or use composite variables that lack specificity. Physical activity outcomes also require consideration, as only activities occurring locally outdoors are likely to be affected by neighborhood crime. Further research is required to tease out associations between real and perceived crime-related safety and physical activity, ideally employing behaviour and crime-specific measures, and addressing the moderating role of the social and built environments.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                26 August 2018
                September 2018
                : 15
                : 9
                : 1840
                Affiliations
                [1 ]School of Natural and Built Environment, Queen’s University Belfast BT9 5AG, UK
                [2 ]Department of Parks, Recreation, and Tourism Management, Centre for Geospatial Analytics, Centre for Human Health and the Environment, North Carolina State University, Raleigh, NC 27695-8004, USA; jahipp@ 123456ncsu.edu
                [3 ]Department of Family Medicine and Public Health, University of California, San Diego, CA 92161, USA; jsallis@ 123456ucsd.edu
                [4 ]Department of Family Medicine and Public Health, Australian Catholic University, Melbourne, VIC 3065, Australia
                [5 ]Prevention Research Centre in St. Louis, Brown School, Washington University in St. Louis, St. Louis, MO 63130, USA; rbrownson@ 123456wustl.edu
                [6 ]Department of Surgery (Division of Public Health Sciences) and Alvin J. Siteman Cancer Centre, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
                Author notes
                [* ]Correspondence: d.adlakha@ 123456qub.ac.uk ; Tel.: +44-28-9097-5563
                Author information
                https://orcid.org/0000-0002-1720-6780
                https://orcid.org/0000-0002-2394-7112
                https://orcid.org/0000-0003-2555-9452
                Article
                ijerph-15-01840
                10.3390/ijerph15091840
                6163753
                30149686
                c489526f-9ff0-4fbf-ba43-39c2f8e15c2c
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 June 2018
                : 16 August 2018
                Categories
                Article

                Public health
                india,active commuting,public transit,physical activity,built environment
                Public health
                india, active commuting, public transit, physical activity, built environment

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