Nonlinear relationships of commuting and built environments surrounding residences and workplaces with obesity
Chun Yin (),
Yiyi Chen () and
Bindong Sun
Additional contact information
Chun Yin: Wuhan University
Yiyi Chen: Guangdong Academy of Sciences
Bindong Sun: East China Normal University
Palgrave Communications, 2024, vol. 11, issue 1, 1-14
Abstract:
Abstract Obesity is a prominent risk contributor to health. However, few studies have explored the nonlinear relationships between commuting and built environments, particularly around workplaces, with obesity. Based on a sample of 1080 respondents in Shanghai, China, we used the gradient-boosting decision trees model to investigate the relative contributions and nonlinear relationships of commuting and built environments surrounding residences and workplaces with body mass index (BMI). Results showed that the built environment made greater contributions to BMI than sociodemographics and behavioral attributes. The built environment around workplaces was more important than that around residences, and commuting behavior rather than exercise or food intake contributed more. Gender and age were the most important predictors among all predictors. Moreover, most predictors were nonlinearly related to BMI. Car and bus commuters had higher BMI. Commuting distance ( 0.5) had a U-shaped relationship with BMI and the threshold was 0.78, but it around residences (0.82–0.85) had a positive effect. A longer distance to the subway station from residences (
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-03964-9 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03964-9
Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about
DOI: 10.1057/s41599-024-03964-9
Access Statistics for this article
More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().