ArticleFrontiers in public health2022
The indirect effects of food insecurity on obesogenic environments.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 5 citations in OpenAlex.
- Racial and Ethnic Differences in the Association Between Food and Physical Activity Environments and Adult Obesity in the United States: A Multilevel Analysis.Journal of racial and ethnic health disparities · 2026Article
- Coping Strategies Moderate the Association Between Food Insecurity and Food Consumption Among Lebanese Adults.Public health challenges · 2026Article
- Sleep duration and food insecurity among minority urban college students: predictors of health and academic disparity.Frontiers in sleep · 2026Article
- The impact of a student-developed, student-marketed, student-implemented and student-led 8-week health and wellness program on faculty and staff participation consistency.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The Centers for Disease Control and Prevention (CDC) estimates 39.8% of United States (US) residents have obesity. This study examined obesity-related factors at the county-level to determine the indirect effects on physical inactivity, insufficient sleep duration, income inequality, food insecurity, on obesity rates. Methodology: Using the 2018 Robert Wood Johnson Foundation (RWJF) County Health Rankings data set, a multiple regression analysis was conducted to measure the percentage of the obesity rate explained by physical inactivity, insufficient sleep duration, food insecurity, and income inequality Results: This study found the combination of independent variables explained 53% of the obesity rates in the US, Conclusion: This analysis found that food insecurity indirectly impacts an obesogenic environment and drives county-level BMI averages. The dataset used for analysis predates the COVID-19 pandemic but presents the effect of food insecurity during a normative year. The findings, though interesting, provide an opportunity for future research.
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Registered trials
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