Journal article
Area-level associations of travel behaviour metrics with waist circumference: findings from linkage of travel and health surveys
Scientific Reports, Vol.13, pp.1-9
2023
PMCID: PMC10199009
PMID: 37208412
Abstract
Individual-level analyses have consistently shown associations of travel behaviours with obesity-related measures. However, transport planning policies often target areas rather than individuals. To better inform transport-related policies and initiatives for obesity prevention, area-level relationships need to be investigated. This study linked data from two travel surveys with data from the Australian National Health Survey at the level of Population Health Areas (PHAs) and examined to what extent area-level travel behaviours metrics (prevalence of active travel, mixed travel and sedentary travel, diversity of travel modes) were associated with the rate of high waist circumference. Data from 51,987 travel survey participants were aggregated into 327 PHAs. Bayesian conditional autoregressive models were used to account for spatial autocorrelation. It was found that statistically replacing participants who relied on cars for travel (without walking/cycling) with those engaging in 30+ min/d of walking/cycling (without car use) was associated with a lower rate of high waist circumference. Areas with greater diversity of travel modes (mix of walking/cycling, car use, public transport use) also had lower prevalence of high waist circumference. This data-linkage study suggests that area-level transport planning strategies addressing car dependency, shifting car use to walking/cycling over 30 min/d, may help to reduce obesity.
Details
- Title
- Area-level associations of travel behaviour metrics with waist circumference: findings from linkage of travel and health surveys
- Authors
- Takemi Sugiyama (Corresponding Author) - Australian Catholic UniversityRachel Cole (Author) - University of the Sunshine Coast, Queensland, School of Health - Public HealthNyssa Hadgraft (Author) - Swinburne University of TechnologyNeville Owen (Author) - Swinburne University of TechnologyRussel G Thompson (Author) - The University of MelbourneManoj Chandrabose (Author) - Swinburne University of Technology
- Publication details
- Scientific Reports, Vol.13, pp.1-9
- Publisher
- Nature Publishing Group
- Date published
- 2023
- DOI
- 10.1038/s41598-023-35335-w
- ISSN
- 2045-2322
- PMID
- 37208412; PMC10199009
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Organisation Unit
- School of Health - Public Health
- Language
- English
- Record Identifier
- 99728198602621
- Output Type
- Journal article
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