» Articles » PMID: 25506554

Variations in Active Transport Behavior Among Different Neighborhoods and Across Adult Lifestages

Overview
Journal J Transp Health
Publisher Elsevier
Date 2014 Dec 16
PMID 25506554
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Built environment characteristics are closely related to transport behavior, but observed variations could be due to residents own choice of neighborhood called residential self-selection. The aim of this study was to investigate differences in neighborhood walkability and residential self-selection across life stages in relation to active transport behavior.

Methods: The IPEN walkability index, which consists of four built environment characteristics, was used to define 16 high and low walkable neighborhoods in Aarhus, Denmark (250.000 inhabitants). Transport behavior was assessed using the IPAQ questionnaire. Life stages were categorized in three groups according to age and parental status. A factor analysis was conducted to investigate patterns of self-selection. Multivariable logistic regression analyses were carried out to evaluate the association between walkability and transport behavior i.e. walking, cycling and motorized transport adjusted for residential self-selection and life stages.

Results: A total of 642 adults aged 20-65 years completed the questionnaire. The highest rated self-selection preference across all groups was a safe and secure neighborhood followed by getting around easily on foot and by bicycle. Three self-selection factors were detected, and varied across the life stages. In the multivariable models high neighborhood walkability was associated with less motorized transport (OR 0.33 95%CI 0.18-0.58), more walking (OR 1.65 95%CI 1.03-2.65) and cycling (OR 1.50 95% CI 1.01-2.23). Self-selection and life stage were also associated with transport behavior, and attenuated the association with walkability.

Conclusion: This study supports the hypothesis that some variation in transport behavior can be explained by life stages and self-selection, but the association between living in a more walkable neighborhood and active transport is still significant after adjusting for these factors. Life stage significantly moderated the association between neighborhood walkability and cycling for transport, and household income significantly moderated the association between neighborhood walkability and walking for transport. Getting around easily by bicycle and on foot was the highest rated self-selection factor second only to perceived neighborhood safety.

Citing Articles

Changes in physical activity after joining a bikeshare program: a cohort of new bikeshare users.

Auchincloss A, Michael Y, Niamatullah S, Li S, Melly S, Pharis M Int J Behav Nutr Phys Act. 2022; 19(1):132.

PMID: 36195957 PMC: 9533574. DOI: 10.1186/s12966-022-01353-6.


How different are objective operationalizations of walkability for older adults compared to the general population? A systematic review.

Akinci Z, Delclos-Alio X, Vich G, Salvo D, Ibarluzea J, Miralles-Guasch C BMC Geriatr. 2022; 22(1):673.

PMID: 35971086 PMC: 9377138. DOI: 10.1186/s12877-022-03233-x.


Correlates and determinants of transport-related physical activity among adults: an interdisciplinary systematic review.

Evans J, Phan H, Buscot M, Gall S, Cleland V BMC Public Health. 2022; 22(1):1519.

PMID: 35945518 PMC: 9363261. DOI: 10.1186/s12889-022-13937-9.


Longitudinal Associations Between Neighborhood Park and Open Space Access and Children's Accelerometer-Assessed Measured Physical Activity: The Evidence From the MATCH Study.

Yi L, Mason T, Yang C, Chu D, Dunton G J Phys Act Health. 2021; 18(9):1058-1066.

PMID: 34198261 PMC: 10913531. DOI: 10.1123/jpah.2021-0177.


Transportation Physical Activity Earlier in Life and Areas of the Brain related to Dementia Later in Life.

Torres E, Bendlin B, Kassahun-Yimer W, Magnotta V, Paradiso S J Transp Health. 2021; 20.

PMID: 33447516 PMC: 7802755. DOI: 10.1016/j.jth.2020.100992.


References
1.
Woodcock J, Edwards P, Tonne C, Armstrong B, Ashiru O, Banister D . Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport. Lancet. 2009; 374(9705):1930-43. DOI: 10.1016/S0140-6736(09)61714-1. View

2.
Hamer M, Chida Y . Active commuting and cardiovascular risk: a meta-analytic review. Prev Med. 2007; 46(1):9-13. DOI: 10.1016/j.ypmed.2007.03.006. View

3.
Ding D, Gebel K . Built environment, physical activity, and obesity: what have we learned from reviewing the literature?. Health Place. 2011; 18(1):100-5. DOI: 10.1016/j.healthplace.2011.08.021. View

4.
McCormack G, Shiell A . In search of causality: a systematic review of the relationship between the built environment and physical activity among adults. Int J Behav Nutr Phys Act. 2011; 8:125. PMC: 3306205. DOI: 10.1186/1479-5868-8-125. View

5.
Frank L, Saelens B, Powell K, Chapman J . Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?. Soc Sci Med. 2007; 65(9):1898-914. DOI: 10.1016/j.socscimed.2007.05.053. View