Alex Antonio Florindo1,2,3, Gavin Turrell4, Leandro Martin Totaro Garcia5,6, João Paulo Dos Anjos Souza Barbosa5, Michele Santos Cruz7,5, Marcelo Antunes Failla8, Breno Souza de Aguiar8, Ligia Vizeu Barrozo9, Moises Goldbaum10. 1. School of Arts, Sciences and Humanities, University of Sao Paulo, Rua Arlindo Bettio, Sao Paulo, SP, 1000, Brazil. aflorind@usp.br. 2. Graduate Program in Nutrition in Public Health, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil. aflorind@usp.br. 3. Physical Activity Epidemiology Group, University of Sao Paulo, Sao Paulo, Brazil. aflorind@usp.br. 4. Centre for Research and Action in Public Health, Health Research Institute, University of Canberra, Canberra, Australia. 5. Physical Activity Epidemiology Group, University of Sao Paulo, Sao Paulo, Brazil. 6. Centre for Public Health, Queen's University Belfast, Belfast, UK. 7. Graduate Program in Nutrition in Public Health, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil. 8. Department of Epidemiology and Information, Municipal Government of Sao Paulo, Sao Paulo, Brazil. 9. Department of Geography, School of Philosophy, Literature and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil. 10. Department of Preventive Medicine, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil.
Abstract
BACKGROUND: Sedentary behavior is influenced by contextual, social, and individual factors, including the built environment. However, associations between the built environment and sitting time have not been extensively investigated in countries with economies in transition such as Brazil. The objective of this study is to examine the relationship between sitting-time and access to a mix of destinations for adults from Sao Paulo city, Brazil. METHODS: This study uses data from the Health Survey of Sao Paulo. Sedentary behavior was assessed by a questionnaire using two questions: total sitting time in minutes on a usual weekday; and on a usual weekend day. The mix of destinations was measured by summing the number of facilities (comprising bus stops, train/subway stations, parks, squares, public recreation centres, bike paths, primary health care units, supermarkets, food stores, bakeries, and coffee-shops) within 500 m of each participant's residence. Minutes of sitting time in a typical weekday and weekend day were the outcomes and the mix of destinations score in 500 m buffers was the exposure variable. Associations between the mix of destinations and sitting time were examined using multilevel linear regression: these models accounted for clustering within census tracts and households and adjusted for environmental, sociodemographic, and health-related factors. RESULTS: After adjustment for covariates, the mix of destinations was inversely associated with minutes of sitting time on a weekday (β=- 8.8, p=0.001) and weekend day (β=- 6.1, p=0.022). People who lived in areas with a greater mix of destinations had shorter average sitting times. CONCLUSION: Greater mix of destinations within 500 m of peoples' residences was inversely associated with sitting time on a typical weekday and weekend day. In Latin American cities like Sao Paulo built environments more favorable for walking may contribute to reducing sedentary behavior and prevent associated chronic disease.
BACKGROUND: Sedentary behavior is influenced by contextual, social, and individual factors, including the built environment. However, associations between the built environment and sitting time have not been extensively investigated in countries with economies in transition such as Brazil. The objective of this study is to examine the relationship between sitting-time and access to a mix of destinations for adults from Sao Paulo city, Brazil. METHODS: This study uses data from the Health Survey of Sao Paulo. Sedentary behavior was assessed by a questionnaire using two questions: total sitting time in minutes on a usual weekday; and on a usual weekend day. The mix of destinations was measured by summing the number of facilities (comprising bus stops, train/subway stations, parks, squares, public recreation centres, bike paths, primary health care units, supermarkets, food stores, bakeries, and coffee-shops) within 500 m of each participant's residence. Minutes of sitting time in a typical weekday and weekend day were the outcomes and the mix of destinations score in 500 m buffers was the exposure variable. Associations between the mix of destinations and sitting time were examined using multilevel linear regression: these models accounted for clustering within census tracts and households and adjusted for environmental, sociodemographic, and health-related factors. RESULTS: After adjustment for covariates, the mix of destinations was inversely associated with minutes of sitting time on a weekday (β=- 8.8, p=0.001) and weekend day (β=- 6.1, p=0.022). People who lived in areas with a greater mix of destinations had shorter average sitting times. CONCLUSION: Greater mix of destinations within 500 m of peoples' residences was inversely associated with sitting time on a typical weekday and weekend day. In Latin American cities like Sao Paulo built environments more favorable for walking may contribute to reducing sedentary behavior and prevent associated chronic disease.
Entities:
Keywords:
Adults; Brazil; Built environment; Mix of destinations; Sedentary behavior; Sitting time
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