Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?
- PMID: 17644231
- DOI: 10.1016/j.socscimed.2007.05.053
Stepping towards causation: do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?
Abstract
Evidence documents associations between neighborhood design and active and sedentary forms of travel. Most studies compare travel patterns for people located in different types of neighborhoods at one point in time adjusting for demographics. Most fail to account for either underlying neighborhood selection factors (reasons for choosing a neighborhood) or preferences (neighborhoods that are preferred) that impact neighborhood selection and behavior. Known as self-selection, this issue makes it difficult to evaluate causation among built form, behavior, and associated outcomes and to know how much more walking and less driving could occur through creating environments conducive to active transport. The current study controls for neighborhood selection and preference and isolates the effect of the built environment on walking, car use, and obesity. Separate analyses were conducted among 2056 persons in the Atlanta, USA based Strategies for Metropolitan Atlanta's Regional Transportation and Air Quality (SMARTRAQ) travel survey on selection factors and 1466 persons in the SMARTRAQ community preference sub-survey. A significant proportion of the population are "mismatched" and do not live in their preferred neighborhood type. Factors influencing neighborhood selection and individual preferences, and current neighborhood walkability explained vehicle travel distance after controlling for demographic variables. Individuals who preferred and lived in a walkable neighborhood walked most (33.9% walked) and drove 25.8 miles per day on average. Individuals that preferred and lived in car dependent neighborhoods drove the most (43 miles per day) and walked the least (3.3%). Individuals that do not prefer a walkable environment walked little and show no change in obesity prevalence regardless of where they live. About half as many participants were obese (11.7%) who prefer and live in walkable environments than participants who prefer car dependent environments (21.6%). Findings suggest that creating walkable environments may result in higher levels of physical activity and less driving and in slightly lower obesity prevalence for those preferring walkability.
Similar articles
-
The unmet demand for walkability: Disparities between preferences and actual choices for residential environments in Toronto and Vancouver.Can J Public Health. 2014 Jul 11;106(1 Suppl 1):eS12-21. doi: 10.17269/cjph.106.4397. Can J Public Health. 2014. PMID: 25955542 Free PMC article. English.
-
Association of Neighborhood Walkability With Change in Overweight, Obesity, and Diabetes.JAMA. 2016 May 24-31;315(20):2211-20. doi: 10.1001/jama.2016.5898. JAMA. 2016. PMID: 27218630
-
Association between residential self-selection and non-residential built environment exposures.Health Place. 2018 Nov;54:149-154. doi: 10.1016/j.healthplace.2018.08.009. Epub 2018 Oct 2. Health Place. 2018. PMID: 30286433
-
Methods to Address Self-Selection and Reverse Causation in Studies of Neighborhood Environments and Brain Health.Int J Environ Res Public Health. 2021 Jun 16;18(12):6484. doi: 10.3390/ijerph18126484. Int J Environ Res Public Health. 2021. PMID: 34208454 Free PMC article. Review.
-
Measuring perceptions of social environments for walking: A scoping review of walkability surveys.Health Place. 2021 Jan;67:102468. doi: 10.1016/j.healthplace.2020.102468. Epub 2020 Dec 4. Health Place. 2021. PMID: 33285411
Cited by
-
Prioritizing Built Environmental Factors to Tackle Chronic and Infectious Diseases in Remote Northern Territory (NT) Communities of Australia: A Concept Mapping Study.Int J Environ Res Public Health. 2021 May 13;18(10):5178. doi: 10.3390/ijerph18105178. Int J Environ Res Public Health. 2021. PMID: 34068201 Free PMC article.
-
Differences in Behavior, Time, Location, and Built Environment between Objectively Measured Utilitarian and Recreational Walking.Transp Res D Transp Environ. 2017 Dec;57:185-194. doi: 10.1016/j.trd.2017.09.026. Epub 2017 Oct 1. Transp Res D Transp Environ. 2017. PMID: 30220861 Free PMC article.
-
Density and proximity of tobacco outlets to homes and schools: relations with youth cigarette smoking.Prev Sci. 2014 Oct;15(5):738-44. doi: 10.1007/s11121-013-0442-2. Prev Sci. 2014. PMID: 24254336 Free PMC article.
-
Reducing CO2 emissions from domestic travel: exploring the social and health impacts.Ecohealth. 2008 Dec;5(4):504-12. doi: 10.1007/s10393-009-0216-2. Epub 2009 Mar 4. Ecohealth. 2008. PMID: 19259735
-
Protocol for a cross sectional study of cancer risk, environmental exposures and lifestyle behaviors in a diverse community sample: the Community of Mine study.BMC Public Health. 2019 Feb 13;19(1):186. doi: 10.1186/s12889-019-6501-2. BMC Public Health. 2019. PMID: 30760246 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical