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Predictors of Daily Blood Glucose Monitoring in Appalachian Ohio

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Abstract:

Objective: To determine factors contributing to successful diabetes self-management in Appalachia, as evidenced by daily blood glucose monitoring. Methods: A telephone survey (N=3841) was conducted to assess health status and health care access. The current investigation is limited to the subset of this sample who report having diabetes (N=529). Results: A multivariate logistic regression model established that having attended a diabetes education class (P<.01) was the most significant predictor of successful diabetes self-management. The inability to pay for care, demographic variables, and health risk indicators were not found to be significantly related to self-management. Conclusions: This study identifies the role of education in successful diabetes self-management for patients in the Appalachian region.

Keywords: COMPLIANCE WITH TREATMENT GUIDELINES; DIABETES; DIABETES SELF-MANAGEMENT EDUCATION; RURAL HEALTH

Document Type: Research Article

DOI: http://dx.doi.org/10.5993/AJHB.36.2.5

Affiliations: 1: Voinovich School of Leadership and Public Affairs, Ohio University, Athens, OH, USA. raffle@ohio.edu 2: Voinovich School of Leadership and Public Affairs, Ohio University, Athens, OH, USA 3: Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA 4: School of Nursing, College of Health Sciences and Professions, Ohio University, Athens, OH, USA

Publication date: March 1, 2012

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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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