Mix of destinations and sedentary behavior among Brazilian adults: a cross-sectional study.

Adults Brazil Built environment Mix of destinations Sedentary behavior Sitting time

Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
12 02 2021
Historique:
received: 19 01 2020
accepted: 23 12 2020
entrez: 13 2 2021
pubmed: 14 2 2021
medline: 21 5 2021
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 33579233
doi: 10.1186/s12889-020-10123-7
pii: 10.1186/s12889-020-10123-7
pmc: PMC7881484
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

347

Subventions

Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo (BR)
ID : 2014/12681-1
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 306635/2016-0
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 301550/2017-4
Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo
ID : 2017/17049-3

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Auteurs

Alex Antonio Florindo (AA)

School of Arts, Sciences and Humanities, University of Sao Paulo, Rua Arlindo Bettio, Sao Paulo, SP, 1000, Brazil. aflorind@usp.br.
Graduate Program in Nutrition in Public Health, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil. aflorind@usp.br.
Physical Activity Epidemiology Group, University of Sao Paulo, Sao Paulo, Brazil. aflorind@usp.br.

Gavin Turrell (G)

Centre for Research and Action in Public Health, Health Research Institute, University of Canberra, Canberra, Australia.

Leandro Martin Totaro Garcia (LMT)

Physical Activity Epidemiology Group, University of Sao Paulo, Sao Paulo, Brazil.
Centre for Public Health, Queen's University Belfast, Belfast, UK.

João Paulo Dos Anjos Souza Barbosa (JP)

Physical Activity Epidemiology Group, University of Sao Paulo, Sao Paulo, Brazil.

Michele Santos Cruz (MS)

Graduate Program in Nutrition in Public Health, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil.
Physical Activity Epidemiology Group, University of Sao Paulo, Sao Paulo, Brazil.

Marcelo Antunes Failla (MA)

Department of Epidemiology and Information, Municipal Government of Sao Paulo, Sao Paulo, Brazil.

Breno Souza de Aguiar (BS)

Department of Epidemiology and Information, Municipal Government of Sao Paulo, Sao Paulo, Brazil.

Ligia Vizeu Barrozo (LV)

Department of Geography, School of Philosophy, Literature and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil.

Moises Goldbaum (M)

Department of Preventive Medicine, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil.

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Classifications MeSH