ArticleClinical medicine insights. Pediatrics2020
Childhood Obesity: Is the Built Environment More Important Than the Food Environment?
Article in Clinical medicine insights. Pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 26 citations in OpenAlex.
- Assessing Obesity Risk: The Interaction of the Built and Food Environments with African Americans in Chicago.Journal of racial and ethnic health disparities · 2026Article
- Overweight risk in early adolescence according to children's BMI growth channelling changes in international growth standard/references.Public health nutrition · 2025Article
- Prevalence and Predictors of Overweight and Obesity Among School-Aged Children in the Country of Georgia: A Cross-Sectional Study, 2022.BMC nutrition · 2025Article
- Children's behaviour and childhood obesity.Pediatric endocrinology, diabetes, and metabolism · 2024Review
- Investigating the role of the built environment, socio-economic status, and lifestyle factors in the prevalence of chronic diseases in Mashhad: PLS-SEM model.Frontiers in public health · 2024Article
- A Review of the Role of Built Environment and Temperature in the Development of Childhood Obesity.Cureus · 2023Review
- Delivering ADAPT+ to Latino Families Living in Rural Communities: Feasibility and Acceptability of Implementing a Health Promotion Program Including Mindfulness.Journal of pediatric psychology · 2023Article
- Article
- Residential Proximity to Urban Play Spaces and Childhood Overweight and Obesity in Barcelona, Spain: A Population-Based Longitudinal Study.International journal of environmental research and public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity continues to be a health burden to society and new efforts may be needed to combat this epidemic. This study aims to investigate the contribution of parents education and level of income, food environment (grocery stores and fast food restaurants), and built environment (perceived safety, availability/quantity of parks) on childhood obesity. This cross-sectional observational study explored whether parents education and income level, built environment, and food environment can affect children with obesity. Participants were selected from 3 separate elementary schools located in an urban community with higher risk to have children with obesity in Montclair, California. Children living in families with low incomes have 2.31 times greater odds to be affected by obesity than children living in higher income homes. Children whose parents did not feel safe in their neighborhoods had odds of obesity 2.23 times greater than those who reported their neighborhoods as safe. Age also appeared to be a risk factor, and the odds of children affected by obesity among children 8 to 9 years was 0.79, and the odds of being affected by obesity among children 10 to 11 years of age was 0.36, when compared to children 6 to 7 years old. Findings suggest that low family income, perceptions of neighborhoods as unsafe, and young age are associated with higher body mass index (BMI) percentiles among children living in poor neighborhoods in Montclair, California.
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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.