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Daily Hassles' Role in Health Seeking Behavior among Low-income Populations

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Objectives: To adapt a daily hassles measure for a low-income population and assess the relationship between hassles and health seeking behavior. Methods: The mixed methods approach used cognitive interviews (N = 23) to inform an adapted measure of daily hassles. The adapted scale was then tested via surveys (N = 144) in community health centers; multivariate logistic regression models were used to assess relationships among variables. Results: Hassle concerning having enough money for emergencies (76.5%) and worrying about personal health (68.8%) were among the most common. Increased health-related hassles were associated with an increased likelihood to delay needed care. Conclusions: Findings suggest daily hassles are unique among low-income populations and should be considered in health behavior interventions.
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Document Type: Research Article

Affiliations: 1: Washington University in Saint Louis, School of Medicine, Division of Public Health Sciences, St Louis, MO, USA. [email protected] 2: Saint Louis University, College of Public Health & Social Justice, Department of Epidemiology, Kansas City, KS, USA 3: Washington University in Saint Louis, School of Medicine, Division of Public Health Sciences, St Louis, MO, USA 4: University of Kansas Medical Center, Department of Family Medicine, Kansas City, KS, USA

Publication date: March 1, 2014

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  • 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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