Literature DB >> 20542297

Hostility and adiposity mediate disparities in insulin resistance among adolescents and young adults.

Elizabeth Goodman1, Aviva Must, Stephen R Daniels, Lawrence M Dolan.   

Abstract

OBJECTIVE: This study explores whether the relationship between lower socioeconomic status and insulin resistance in adolescents is mediated by both physiological and psychological factors associated with increased cardiometabolic risk. STUDY
DESIGN: School-based longitudinal cohort study of 1222 healthy, non-Hispanic black and white teens. Parent education (PE), youth-specific Cook-Medley hostility scale, waist circumference, height, weight, pubertal status, and fasting plasma insulin (FPI) were measured and FPI reassessed 1 year later. Regression analyses utilizing bootstrapping (n=2000) were used to estimate the direct and indirect effects of PE on FPI and assess the role of hostility and adiposity while adjusting for covariates.
RESULTS: Lower PE predicted higher FPI (B=-1.52, P=.003), as did hostility (B=.19, P=.002) and adiposity (waist circumference B=.44, P<.001, BMI B=.98, P<.001). The effect of PE on FPI was mediated by both hostility and adiposity. When adiposity and hostility were accounted for, the effect of PE on FPI decreased by 32% (B=-1.04, P=.04); the total indirect estimate was -.485 (95% CI, -.652, -.041). Hostility accounted for 36% of the meditational effect.
CONCLUSIONS: Lower PE influences insulin resistance through adiposity and hostility. Thus, interventions to reduce health disparities associated with insulin resistance should consider both physiological and psychological approaches. Copyright (c) 2010 Mosby, Inc. All rights reserved.

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Year:  2010        PMID: 20542297      PMCID: PMC3166621          DOI: 10.1016/j.jpeds.2010.04.048

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  38 in total

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Authors:  K L Woodall; K A Matthews
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