Social determinants of disparities in weight among US children and adolescents.
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Purpose To explore whether contextual variables attenuate disparities in weight among 18,639 US children and adolescents aged 2 to 18 years participating in the National Health and Nutrition Examination Survey, 2001 to 2010.Methods Disparities were assessed using the Symmetrized Rényi Index, a new measure that summarizes disparities in the severity of a disease, as well as the prevalence, across multiple population groups. Propensity score subclassification was used to ensure covariate balance between racial and ethnic subgroups and account for individual-level and contextual covariates.Results Before propensity score subclassification, significant disparities were evident in the prevalence of overweight and/or obesity and the degree of excess weight among overweight/obese children and adolescents. After propensity score subclassification, racial/ethnic disparities in the prevalence and severity of excess weight were completely attenuated within matched groups, indicating that racial and ethnic differences were explained by social determinants such as neighborhood socioeconomic and demographic factors.Conclusions The limited overlap in covariate distributions between various racial/ethnic subgroups warrants further attention in disparities research. The attenuation of disparities within matched groups suggests that social determinants such as neighborhood socioeconomic factors may engender disparities in weight among US children and adolescents.
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A review of the literature, including 2 studies using NHANES data from 1999-2006 and 2003-2006, reported that obesity prevalence was higher among rural children than among children living in urban areas, and this difference was larger among older children compared with younger children.
“A review of the literature, including 2 studies using NHANES data from 1999–2006 and 2003–2006, reported that obesity prevalence was higher among rural children than among children living in urban areas, and this difference was larger among older children compared with younger children.6”
From Differences in Obesity Prevalence by Demographics and Urbanization in US Children and Adolescents, 2013-2016 (2018) · cites this paper as [6]
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- Authors
- Rossen, L. M., & Talih, M.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Corresponding author
- Rossen, Lauren M.
- Venue
- Annals of Epidemiology
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 24
- Issue
- 10
- Pages
- 705-713.e2
- ISSN
- 1047-2797 (ISSN-L)
- PMC
- PMC4669563
- OpenAlex
- W2121665038
- Cited by
- 48
- References
- 103
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 4 · 2022: 1 · 2021: 3 · 2020: 3 · 2019: 1 · 2018: 8 · 2017: 7 · 2016: 10 · 2015: 4 · 2014: 1
- FWCI
- 7.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (CC999999)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
- Keywords
- childhood obesity, adolescent obesity, overweight, racial and ethnic disparities, social determinants of health, neighborhood socioeconomic factors, health disparities
- MeSH terms
- Adolescent, Black or African American, Child, Child, Preschool, Female, Hispanic or Latino, Humans, Male, Nutrition Surveys, Residence Characteristics, Severity of Illness Index, Social Class, United States, Body Mass Index, Prevalence, Caregivers, White People, Health Status Disparities, Multilevel Analysis, Propensity Score, Pediatric Obesity, Social Determinants of Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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