ArticleJMIR research protocols2020
Impact of Built Environments on Body Weight (the Moving to Health Study): Protocol for a Retrospective Longitudinal Observational Study.
Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Mitigating the risk of bias exacerbation when controlling for unmeasured spatial confounding for binary exposures.American journal of epidemiology · 2026Article
- Distributed lag models for retrospective cohort data with application to a study of built environment and body weight.Biometrics · 2025Article
- Residential Density Is Associated With BMI Trajectories in Children and Adolescents: Findings From the Moving to Health Study.AJPM focus · 2024Article
- Neighborhood built and food environment in relation to glycemic control in people with type 2 diabetes in the moving to health study.Health & place · 2024Article
- Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III.SSM - population health · 2022Article
- Differential associations of the built environment on weight gain by sex and race/ethnicity but not age.International journal of obesity (2005) · 2021Article
- From the clinic to the community: Can health system data accurately estimate population obesity prevalence?Obesity (Silver Spring, Md.) · 2021Article
- Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain.International journal of obesity (2005) · 2021Article
Corrections and comments
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundStudies assessing the impact of built environments on body weight are often limited by modest power to detect residential effects that are small for individuals but may nonetheless comprise large attributable risks.
objectiveWe used data extracted from electronic health records to construct a large retrospective cohort of patients. This cohort will be used to explore both the impact of moving between environments and the long-term impact of changing neighborhood environments.
methodsWe identified members with at least 12 months of Kaiser Permanente Washington (KPWA) membership and at least one weight measurement in their records during a period between January 2005 and April 2017 in which they lived in King County, Washington. Information on member demographics, address history, diagnoses, and clinical visits data (including weight) was extracted. This paper describes the characteristics of the adult (aged 18-89 years) cohort constructed from these data.
resultsWe identified 229,755 adults representing nearly 1.2 million person-years of follow-up. The mean age at baseline was 45 years, and 58.0% (133,326/229,755) were female. Nearly one-fourth of people (55,150/229,755) moved within King County at least once during the follow-up, representing 84,698 total moves. Members tended to move to new neighborhoods matching their origin neighborhoods on residential density and property values.
conclusionsData were available in the KPWA database to construct a very large cohort based in King County, Washington. Future analyses will directly examine associations between neighborhood conditions and longitudinal changes in body weight and diabetes as well as other health conditions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16787.
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