Abstract

BackgroundMany studies have investigated the association between the built environment and physical activity behavior in urban settings. However, most of the studies conducted in low- and middle-income countries were cross-sectional, which are limited to identify behavioral determinants. We propose a prospective cohort study to verify the relationship between built environment features and leisure-time and transport-related physical activity in adults from Sao Paulo city, Brazil.MethodsProspective multilevel cohort, denominated “ISA-Physical Activity and Environment”. It will build on the Health Survey of Sao Paulo in 2015 (“Inquérito de Saúde de São Paulo (ISA)” in Portuguese). The Health Survey of Sao Paulo, originally designed as a cross-sectional survey, had a multi-stage sample, covering 150 census tracts distributed in five health administrative areas. Data collection was performed by face-to-face interviews until December 2015 and the sample comprised 4043 individuals aged 12 years or more. The ISA-Physical Activity and Environment study will reassess people who are aged 18 years or more in 2020, including telephone and household interviews. The primary outcome will be leisure-time and transport-related physical activity, assessed through the International Physical Activity Questionnaire long version. Exposure variables will be built environment features in the areas participants live and work in the follow-up. Data analysis will include multivariate multilevel linear and logistic models. We will also conduct cost-effectiveness analysis and develop agent-based models to help inform decision-makers. The study will be conducted by an interdisciplinary research team specialized in physical activity epidemiology, nutritional epidemiology, georeferencing applied to health, statistics, agent-based modeling, public health policy, and health economics.DiscussionThere are few longitudinal studies on the relationship between the built environment and physical activity behavior in low- and middle-income countries. We believe that the ISA-Physical Activity and Environment study will contribute with important results for the progress of the knowledge in this field and for the implementation of policies that promote leisure-time physical activity and active travel in Sao Paulo and similar cities across the world.

Highlights

  • Many studies have investigated the association between the built environment and physical activity behavior in urban settings

  • In Colombia, a study involving more than 27 thousand adults between 2005 and 2010 indicated a reduction in leisure-time physical activity, there was an increase in walking for transportation [9]

  • An international research project in partnership with Australian researchers was initiated in 2016 and 2017 to develop built environment indicators to inform physical activity promotion initiatives in Sao Paulo city [17], addressing the lack of studies in large metropolitan areas in Latin American countries. This initial study used cross-sectional data from the Health Survey of Sao Paulo 2015, which will comprise the baseline for this new prospective cohort study

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Summary

Methods

Study design A prospective multilevel cohort of individuals living in the city of Sao Paulo, Brazil. Cost-effectiveness and agent-based modeling The study will be followed by an analysis of health impacts and cost-effectiveness of alternative scenarios considering feasible structural changes in the built environment that may influence leisure-time and transport-related physical activity. Data from the survey will be complemented by existing evidence in the literature to propose an agent-based model to simulate daily activities in different neighborhoods and test potential changes in the built environment aimed at the population leisure and transport-related physical activity behavior and to estimate the consequent health impacts of these environmental and behavioral changes. The results of these two modeling components can be used to inform potential public policies in infrastructure, health, and leisure in the city. Analyses will be performed using the software MAXQDA Standard Educational, IBM SPSS Statistics version 24.0, Stata version 16.1, and NetLogo

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