Mechanisms Linking Socioeconomic Disadvantage and BMI in Smokers
Abstract:Objectives: To evaluate a conceptual model of the psychosocial pathways linking socioeconomic status and body mass index (BMI) among smokers. Methods: A latent variable modeling approach was used to evaluate the interrelationships among socioeconomic status, perceived neighborhood disadvantage, social support, negative affect, and BMI among smokers recruited from the Houston metropolitan area (N = 424). Results: A total of 42.4% of participants were obese, with the highest prevalence of obesity among Latinos followed by African Americans. Across all racial/ethnic groups, perceived neighborhood disadvantage, social support, and negative affect functioned as pathways linking socioeconomic status and BMI. Conclusions: Findings indicate the need for interventions that target obesity among socioeconomically disadvantaged smokers and provide potential intervention targets for the prevention and treatment of obesity.
Document Type: Research Article
Affiliations: 1: The University of Texas Health Science Center, School of Public Health; UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Population Science and Cancer Control Program; Dallas, TX 2: The University of Texas MD Anderson Cancer Center, Department of Behavioral Science, Houston, TX 3: The University of Texas MD Anderson Cancer Center, Department of Health Disparities Research, Houston, TX 4: The University of Texas, School of Social Work, Austin, TX
Publication date: 2013-09-01
The American Journal of Health Behavior seeks to improve the quality of life through multidisciplinary health efforts in fostering a better understanding of the multidimensional nature of both individuals and social systems as they relate to health behaviors.
The Journal aims to provide a comprehensive understanding of the impact of personal attributes, personality characteristics, behavior patterns, social structure, and processes on health maintenance, health restoration, and health improvement; to disseminate knowledge of holistic, multidisciplinary approaches to designing and implementing effective health programs; and to showcase health behavior analysis skills that have been proven to affect health improvement and recovery.
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