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Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis

BACKGROUND: Active travel for utilitarian purposes contributes to total physical activity and may help counter the obesity epidemic. However, the evidence linking active travel and individual-level body weight is equivocal. Statistical modeling that accounts for spatial autocorrelation and unmeasure...

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Autores principales: Luan, Hui, Ramsay, Dana, Fuller, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366056/
https://www.ncbi.nlm.nih.gov/pubmed/30728007
http://dx.doi.org/10.1186/s12942-019-0168-x
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author Luan, Hui
Ramsay, Dana
Fuller, Daniel
author_facet Luan, Hui
Ramsay, Dana
Fuller, Daniel
author_sort Luan, Hui
collection PubMed
description BACKGROUND: Active travel for utilitarian purposes contributes to total physical activity and may help counter the obesity epidemic. However, the evidence linking active travel and individual-level body weight is equivocal. Statistical modeling that accounts for spatial autocorrelation and unmeasured spatial predictors has not yet used to explore whether the health benefits of active travel are shared equally across socioeconomic groups. METHODS: Bayesian hierarchical models with spatial random effects were developed using travel survey data from Saskatoon, Canada (N = 4625). Differences in log-transformed body mass index (BMI) were estimated for levels of active travel use (vehicular travel only, mixed vehicular/active travel, and active travel only), household income, and neighbourhood deprivation after controlling for sociodemographic and physical activity variables. The modifying effect of household income on the association between active travel and BMI was also evaluated. RESULTS: Significant and meaningful decreases in BMI were observed for mixed (β = − 0.02, CrI − 0.036 to − 0.004) and active only (β = − 0.043, CrI − 0.06 to − 0.025) compared to vehicular only travelers. BMI was significantly associated with levels of household income and neighbourhood deprivation. Accounting for the interaction between travel mode and household income, decreases in BMI were observed for active only compared to vehicular only travellers in the highest income category (β = − 0.061, CrI − 0.115 to − 0.007). CONCLUSION: Strategies to increase active travel use can support healthy weight loss and maintenance, but the opportunity to benefit from active travel use may be limited by low income. Considerations should be given to how interventions to increase active transportation might exacerbate social inequalities in BMI. Spatial statistical models are needed to account for unmeasured but spatially structured neighbourhood factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12942-019-0168-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-63660562019-02-15 Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis Luan, Hui Ramsay, Dana Fuller, Daniel Int J Health Geogr Research BACKGROUND: Active travel for utilitarian purposes contributes to total physical activity and may help counter the obesity epidemic. However, the evidence linking active travel and individual-level body weight is equivocal. Statistical modeling that accounts for spatial autocorrelation and unmeasured spatial predictors has not yet used to explore whether the health benefits of active travel are shared equally across socioeconomic groups. METHODS: Bayesian hierarchical models with spatial random effects were developed using travel survey data from Saskatoon, Canada (N = 4625). Differences in log-transformed body mass index (BMI) were estimated for levels of active travel use (vehicular travel only, mixed vehicular/active travel, and active travel only), household income, and neighbourhood deprivation after controlling for sociodemographic and physical activity variables. The modifying effect of household income on the association between active travel and BMI was also evaluated. RESULTS: Significant and meaningful decreases in BMI were observed for mixed (β = − 0.02, CrI − 0.036 to − 0.004) and active only (β = − 0.043, CrI − 0.06 to − 0.025) compared to vehicular only travelers. BMI was significantly associated with levels of household income and neighbourhood deprivation. Accounting for the interaction between travel mode and household income, decreases in BMI were observed for active only compared to vehicular only travellers in the highest income category (β = − 0.061, CrI − 0.115 to − 0.007). CONCLUSION: Strategies to increase active travel use can support healthy weight loss and maintenance, but the opportunity to benefit from active travel use may be limited by low income. Considerations should be given to how interventions to increase active transportation might exacerbate social inequalities in BMI. Spatial statistical models are needed to account for unmeasured but spatially structured neighbourhood factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12942-019-0168-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-06 /pmc/articles/PMC6366056/ /pubmed/30728007 http://dx.doi.org/10.1186/s12942-019-0168-x Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Luan, Hui
Ramsay, Dana
Fuller, Daniel
Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
title Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
title_full Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
title_fullStr Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
title_full_unstemmed Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
title_short Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
title_sort household income, active travel, and their interacting impact on body mass index in a sample of urban canadians: a bayesian spatial analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366056/
https://www.ncbi.nlm.nih.gov/pubmed/30728007
http://dx.doi.org/10.1186/s12942-019-0168-x
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