ArticleSSM - population health2018
Walkable neighborhoods and obesity: Evaluating effects with a propensity score approach.
Article in SSM - population health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- The environmental exposome in heart failure risk and progression.Nature reviews. Cardiology · 2026Review
- Association between walkability and diverse health metrics: moderating role of social vulnerability.Journal of healthy eating and active living · 2026Article
- Pendular mechanism determinants and elastic energy usage during walking of obese and non-obese children.Experimental physiology · 2023Article
- The road to recovery: Financial resilience and mental health in post-apartheid South Africa.SSM - population health · 2023Article
- Neighborhood Walkability, Historical Redlining, and Childhood Obesity in Denver, Colorado.Journal of urban health : bulletin of the New York Academy of Medicine · 2023Article
- Higher walkability associated with increased physical activity and reduced obesity among United States adults.Obesity (Silver Spring, Md.) · 2023Article
- Understanding Insulin in the Age of Precision Medicine and Big Data: Under-Explored Nature of Genomics.Biomolecules · 2023Review
- Association of the built environment and neighborhood resources with obesity-related health behaviors in older veterans with hypertension.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022Article
- Understanding the effect of loneliness on unemployment: propensity score matching.BMC public health · 2022Article
- Breast Cancer Disparities and the Impact of Geography.Surgical oncology clinics of North America · 2022Review
- Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain.International journal of obesity (2005) · 2021Article
- The Moderating Effect of Distance on Features of the Built Environment and Active School Transport.International journal of environmental research and public health · 2020Article
- Built Environment and Childhood Weight Status: A Multi-Level Study Using Population-Based Data in the City of Hannover, Germany.International journal of environmental research and public health · 2020Article
- Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundResearch investigating the connection between neighborhood walkability and obesity often overlooks the issue of nonrandom residential selection.
methodsWe use propensity score methods to adjust for the nonrandom selection into residential neighborhoods in this cross-sectional, observational study. The sample includes 103,912 women residing in Salt Lake County, Utah age 20 or older. We measured percentage living in neighborhoods with more walkability, area level measures of neighborhood characteristics, and obesity (body mass index (BMI) > 30).
resultsOur findings confirm previous work that observes an association between living in more walkable neighborhoods and lower obesity. After adjusting for nonrandom selection, the odds of being obese when living in a less walkable neighborhood increase. Specifically, the odds ratio for being obese without the propensity score correction is 1.12. After adjusting for nonrandom selection, the odds ratio for being obese is 1.19, an increase of six percent.
conclusionResults demonstrate that residential selection bias inherent in cross-sectional analysis slightly attenuates the true association between neighborhood walkability and obesity. Results lend support to the growing body of research suggesting that more walkable neighborhoods have residents with a lower prevalence of obesity. Absent propensity score controls, the causal relationship between environment and obesity would be underestimated by 6%. Our analysis suggests there is an association between neighborhood walkability and obesity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.