Author
Listed:
- Adalberto A S Lopes
- Larissa L Lima
- Amanda S Magalhães
- Amanda C S Andrade
- Tiago Canelas
- Louise Foley
- Tolu Oni
- Waleska T Caiaffa
Abstract
Background: Built environments have been shown to shape active living behaviours, including walking. However, this literature is drawn predominantly from Europe and North America. This study aimed to create a geospatially derived city-wide walkability index and further investigate the association with walking in Belo Horizonte, Brazil. Methodology: A cross-sectional analysis was conducted using data from participants in the 2014-15 MOVE-SE study in Belo Horizonte. A walkability index was created at the census tract level, which included net residential density, land use mix, and street connectivity, using ArcGIS software. Walking for leisure and transportation was self-reported via the International Physical Activity Questionnaire. Covariates such as sociodemographic characteristics, health indicators, and neighbourhood context were measured. A multilevel negative binomial regression was employed, incorporating confounders across five combined models with sequential addition of covariate groups. All statistical analyses were conducted in R software with a significance threshold of 5%. Results: The study included 1,372 adults aged 18 years and older, with a female majority of 60.5%, a median age of 41, and 45.9% completed at most primary schooling. The family income for 63.7% ranged between one to three times the minimum wage. Self-rated health was considered good by 64.7% of participants, and the median Body Mass Index (BMI) was 26.2 kg/m2. Regarding neighbourhood context, the median length of residence was 15 years, per capita monthly income was US$175, and the average land slope was 8.2%. Participants reported a median of 180 minutes per week (interquartile range: 120 – 250) for walking for leisure and transportation. The median walkability index was -0.51 (interquartile range: -1.40 – 1.21). After adjusting for confounders, the final model indicated a positive association between the walkability index and walking for leisure (IRR: 1.33; CI95%:1.32-1.35; p
Suggested Citation
Adalberto A S Lopes & Larissa L Lima & Amanda S Magalhães & Amanda C S Andrade & Tiago Canelas & Louise Foley & Tolu Oni & Waleska T Caiaffa, 2025.
"What is the cross-sectional association of geospatially derived walkability with walking for leisure and transport?,"
PLOS ONE, Public Library of Science, vol. 20(3), pages 1-14, March.
Handle:
RePEc:plo:pone00:0320202
DOI: 10.1371/journal.pone.0320202
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