ArticleInternational journal of obesity (2005)2010
Changes in BMI over 6 years: the role of demographic and neighborhood characteristics.
Article in International journal of obesity (2005), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
What it found
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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
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 88 citations in OpenAlex.
- Neighbourhood socioeconomic status and overweight/obesity: a systematic review and meta-analysis of epidemiological studies.BMJ open · 2019Pooled it
- Walkability, Overweight, and Obesity in Adults: A Systematic Review of Observational Studies.International journal of environmental research and public health · 2019Pooled it
- Obesogenic environments: a systematic review of the association between the physical environment and adult weight status, the SPOTLIGHT project.BMC public health · 2014Pooled it
- Perceived Barriers for Physical Activity in Overweight and Obese Youth: A Scoping Review.Health science reports · 2026Review
- Neighbourhoods' social, built, and natural environment characteristics and body mass index in Latin American cities.International journal of epidemiology · 2025Article
- Cumulative Experience of Neighborhood Walkability and Change in Weight and Waist Circumference in REGARDS.American journal of epidemiology · 2023Article
- A comprehensive walkability evaluation system for promoting environmental benefits.Scientific reports · 2023Article
- Impacts of commute mode on body mass index: A longitudinal analysis before and during the COVID-19 pandemic.Journal of transport & health · 2023Article
- Neighbourhood socioeconomic disadvantage and body size in Australia's capital cities: The contribution of obesogenic environments.PloS one · 2023Article
- Moderation of the Association between Primary Language and Health by Race and Gender: An Intersectional Approach.International journal of environmental research and public health · 2022Article
- A longitudinal examination of objective neighborhood walkability, body mass index, and waist circumference: the REasons for Geographic And Racial Differences in Stroke study.The international journal of behavioral nutrition and physical activity · 2022Article
- Changes in temporal discounting, hedonic hunger, and food addiction during recovery from substance misuse.Appetite · 2022Article
- Neighbourhood effects on obesity: scoping review of time-varying outcomes and exposures in longitudinal designs.BMJ open · 2020Article
- Article
- Neighborhood Walkability and BMI Change: A National Study of Veterans in Large Urban Areas.Obesity (Silver Spring, Md.) · 2020Article
- Stress-related eating, mindfulness, and obesity.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2018Article
- Association of built environment characteristics with adiposity and glycaemic measures.Obesity science & practice · 2017Article
- Gene-obesogenic environment interactions in the UK Biobank study.International journal of epidemiology · 2017Article
- "Contextualizing Context": Reconciling Environmental Exposures, Social Networks, and Location Preferences in Health Research.Current environmental health reports · 2017Review
- Self-Report Dietary Assessment Tools Used in Canadian Research: A Scoping Review.Advances in nutrition (Bethesda, Md.) · 2017Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo undertake a 6-year longitudinal investigation of the relationship between the built environment (perceived and objectively measured) and change in body mass index (BMI). Specifically, this research examined whether change in BMI was predicted by objectively measured neighborhood walkability and socioeconomic status (SES), and perceived neighborhood characteristics (for example, crime, traffic and interesting things to look at) in addition to other factors such as age, gender, education, physical activity, fruit and vegetable consumption and smoking.
designLongitudinal study. SUBJECTS: 500 adults who provided complete data in 2002 and 2008 and who did not move over the course of the study (47.8% female; age in 2002: 18-90 years). MEASUREMENTS: Telephone surveys in 2002 and 2008 measuring perceptions of their neighborhood environment and demographic factors. Objective measures of neighborhood characteristics were calculated using census data and geographical information systems in 2006.
resultsAge, neighborhood SES and perceived traffic were significantly related to increased BMI over the 6 years. Younger participants and those in lower SES neighborhoods were more likely to have increased BMI. Agreement with the statement that traffic made it difficult to walk also predicted increased BMI.
conclusionThis study adds to the literature to show that BMI increased in low SES neighborhoods. Although more research is needed to fully understand how neighborhood SES contributes to obesity, it is without question that individuals in socially disadvantaged neighborhoods face more barriers to health than their wealthier counterparts. This study also calls into question the relationship between walkability and changes in BMI and emphasizes the necessity of longitudinal data rather than relying on cross-sectional research.
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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.