ArticlePreventive medicine reports2019
Associations of multidimensional socioeconomic and built environment factors with body mass index trajectories among youth in geographically heterogeneous communities.
Article in Preventive medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Pediatric Metabolic and Bariatric Surgery and Antiobesity Medications: Weighing Efficacy, Risks, and Future Directions.The Journal of pediatrics · 2025Article
- Objectively-measured Environmental Support for Physical Activity, Healthy Eating, and Breastfeeding in the Rural United States: A Scoping Review to Inform Opportunities for Public Health Surveillance.Journal of healthy eating and active living · 2025Article
- Community profiles in northeastern and central Pennsylvania characterized by distinct social, natural, food, and physical activity environments and their relation to type 2 diabetes.Environmental epidemiology (Philadelphia, Pa.) · 2024Article
- Community credit scores and community socioeconomic deprivation in association with type 2 diabetes across an urban to rural spectrum in Pennsylvania: a case-control study.BMJ public health · 2024Article
- Longitudinal association between density of retail food stores and body mass index in Mexican school children and adolescents.International journal of obesity (2005) · 2023Article
- Review
- Geographic disparities in new onset of internalizing disorders in Pennsylvania adolescents using electronic health records.Spatial and spatio-temporal epidemiology · 2022Article
- Disparities in Neighborhood Characteristics among U.S. Children with Secondhand and Thirdhand Tobacco Smoke Exposure.International journal of environmental research and public health · 2022Article
- Neighborhood Socioeconomic Environment and Risk of Type 2 Diabetes: Associations and Mediation Through Food Environment Pathways in Three Independent Study Samples.Diabetes care · 2022Article
- Neighborhood built environment typologies and adiposity in children and adolescents.International journal of obesity (2005) · 2022Article
- Article
- Proximity to freshwater blue space and type 2 diabetes onset: the importance of historical and economic context.Landscape and urban planning · 2021Article
- Exposure to multiple childhood social risk factors and adult body mass index trajectories from ages 20 to 64 years.European journal of public health · 2021Article
- Association of Greenness with Blood Pressure among Individuals with Type 2 Diabetes across Rural to Urban Community Types in Pennsylvania, USA.International journal of environmental research and public health · 2021Article
- The Diabetes Location, Environmental Attributes, and Disparities Network: Protocol for Nested Case Control and Cohort Studies, Rationale, and Baseline Characteristics.JMIR research protocols · 2020Article
- Factors Related to Non-participation in the Basque Country Colorectal Cancer Screening Programme.Frontiers in public health · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding contextual influences on obesity requires comparison of heterogeneous communities and concurrent assessment of multiple contextual domains. We used a theoretically-based measurement model to assess multidimensional socioeconomic and built environment factors theorized to influence childhood obesity across a diverse geography ranging from rural to urban. Confirmatory factor analysis specified four factors-community socioeconomic deprivation (CSED), food outlet abundance (FOOD), fitness and recreational assets (FIT), and utilitarian physical activity favorability (UTIL)-which were assigned to communities (townships, boroughs, city census tracts) in 37 Pennsylvania counties. Using electronic health records from 2001 to 2012 from 163,820 youth aged 3-18 years from 1288 communities, we conducted multilevel linear regression analyses with factor quartiles and their cross products with age, age
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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 Socratic graph.