Purpose: This study investigates the degree to which the racial composition of the school environment may influence the body mass index (BMI) of children aged 10 to 18 years. This research may be viewed as extending prior work that has found that the prevalence of risk behaviors among nonwhite adolescents is influenced by exposure to white adolescents.
Methods: This research used data from the Survey of Adults and Youth, which was conducted as part of the evaluation of the Robert Wood Johnson Foundation's Urban Health Initiative. The study population for this analysis is comprised of parent and child respondents in the 2004 to 2005 survey wave who lived in one of the five program cities: Baltimore, Detroit, Oakland, Philadelphia, and Richmond. We constructed two-level school random effects models and added school and census tract-level variables that describe the racial composition of the residential community and the school attended.
Results: Black and Hispanic adolescent girls who attend schools with a mostly nonwhite student body have higher BMIs than do their white counterparts. However, black girls in predominately white schools do not have higher BMIs than white girls. Further, black and Hispanic girls whose schoolmates are predominately white have significantly lower BMIs than black and Hispanic girls in schools where fewer than half the students are white. These associations are not found among boys, and are net of a broad variety of individual, household, and group level characteristics.
Conclusions: Our findings suggest that the BMI of minority adolescent girls is influenced by the norms of the social environment.
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http://dx.doi.org/10.1016/j.jadohealth.2008.11.013 | DOI Listing |
Br J Hosp Med (Lond)
December 2024
School of Nursing and Midwifery, Queen's University Belfast, Medical Biology Centre, Belfast, UK.
Health inequities exist in cardiovascular care and outcomes, especially among women, older people, individuals from racial and ethnic minorities, lower income and rural communities often those most vulnerable to adverse health outcomes. Such diverse groups form most of the patient population but they are rarely reflected in the composition of the cardiovascular care workforce. Yet a diverse cardiovascular health care workforce can enhance access to care, reduce health disparities and inequities, and improve quality of care and research for such underserved populations.
View Article and Find Full Text PDFAm J Prev Med
January 2025
Surveillance and Health Equity Science, American Cancer Society, Atlanta, Georgia.
Introduction: This study aimed to examine the association of county-level racial and economic residential segregation with mortality rates in the U.S. between 2018 and 2022.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Political Science, George Washington University, Washington, DC 20052, USA.
In this paper, we examine whether mayors' partisan affiliations lead to differences in crime and policing. We use a large new dataset on mayoral elections and three different modern causal inference research designs (a regression discontinuity design centered around close elections and two robust difference-in-differences methods) to determine the causal effect of mayoral partisanship on crime, arrests, and racial differences in arrest patterns in medium and large US cities. We find no evidence that mayoral partisanship affects police employment or expenditures, police force or leadership demographics, overall crime rates, or numbers of arrests.
View Article and Find Full Text PDFObesity (Silver Spring)
January 2025
Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.
Objective: The objective of this study was to evaluate potential sources of heterogeneity in the effect of calorie labeling on fast-food purchases among restaurants located in areas with different neighborhood characteristics.
Methods: In a quasi-experimental design, using transaction data from 2329 Taco Bell restaurants across the United States between 2008 and 2014, we estimated the relationships of census tract-level income, racial and ethnic composition, and urbanicity with the impacts of calorie labeling on calories purchased per transaction.
Results: Calorie labeling led to small, absolute reductions in calories purchased across all population subgroups, ranging between -9.
J Urban Health
January 2025
Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1057, New York, NY, 10029, USA.
Chronological age is not an accurate predictor of morbidity and mortality risk, as individuals' aging processes are diverse. Phenotypic age acceleration (PhenoAgeAccel) is a validated biological age measure incorporating chronological age and biomarkers from blood samples commonly used in clinical practice that can better reflect aging-related morbidity and mortality risk. The heterogeneity of age-related decline is not random, as environmental exposures can promote or impede healthy aging.
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