ArticlePreventive medicine reports2022
The association between adverse childhood experiences, neighborhood greenspace, and body mass index: A cross-sectional study.
Article in Preventive medicine reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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
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Who cites it
5 citing papers in PubMed.
- The Intersection of Neighborhood Environments, Adverse Childhood Experiences, and Health Equity.Pediatrics · 2025Article
- Neighborhood socioeconomic contexts mediate the association between adverse childhood experiences and social risk and health outcomes in adulthood.SSM - population health · 2025Article
- Sleep, Screen Behaviors, and Adverse Childhood Experiences: A Cross-Sectional Study of U.S. Children and Adolescents.Journal of child & adolescent trauma · 2024Article
- The Association Between a Neighborhood Adverse Childhood Experiences Index and Body Mass Index Among New York City Youth.Childhood obesity (Print) · 2024Article
- Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
An association between adverse childhood experiences (ACEs) and elevated body mass index (BMI) has been found in previous investigations. ACEs' effects on BMI have been primarily considered via individual-level physiological and behavioral frameworks. Neighborhood factors, such as greenspace, are also associated with BMI and may merit consideration in studies examining ACEs-BMI associations. This exploratory study examined associations of BMI with ACEs and neighborhood greenspace and tested whether greenspace moderated ACEs-BMI associations. Methods entailed secondary analysis of cross-sectional data. ACEs and BMI were captured from 2012/2013 Philadelphia ACE Survey and 2012 Southeastern Household Heath Survey data; greenspace percentage in participants' (n = 1,679 adults) home neighborhoods was calculated using National Land Cover Database data. Multi-level, multivariable linear regression 1) examined associations between BMI, ACEs, (0 ACEs [reference], 1-3 ACEs, 4 + ACEs), and neighborhood greenspace levels (high [reference], medium, low) and 2) tested whether greenspace moderated the ACEs-BMI association (assessed via additive interaction) before and after controlling for sociodemographic and health-related covariates. Experiencing 4 + ACEs (β = 1.21; 95 %CI: 0.26, 2.15; p = 0.01), low neighborhood greenspace (β = 1.51; 95 %CI: 0.67, 2.35; p < 0.01), and medium neighborhood greenspace (β = 1.37; 95 %CI: 0.52, 2.21; p < 0.01) were associated with BMI in unadjusted models. Only low neighborhood greenspace was associated with BMI (β = 0.95; 95 %CI: 0.14, 1.75; p = 0.02) in covariate-adjusted models. The ACEs-greenspace interaction was not significant in unadjusted (p = 0.89-0.99) or covariate-adjusted (p = 0.46-0.79) models. In conclusion, when considered simultaneously, low neighborhood greenspace, but not ACEs, was associated with BMI among urban-dwelling adults in covariate-adjusted models.
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