| Predictors of adherence with self-care guidelines among persons with type 2 diabetes: results from a logistic regression tree analysis. | |
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MedLine Citation:
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PMID: 22160934 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Type 2 diabetes is known to contribute to health disparities in the U.S. and failure to adhere to recommended self-care behaviors is a contributing factor. Intervention programs face difficulties as a result of patient diversity and limited resources. With data from the 2005 Behavioral Risk Factor Surveillance System, this study employs a logistic regression tree algorithm to identify characteristics of sub-populations with type 2 diabetes according to their reported frequency of adherence to four recommended diabetes self-care behaviors including blood glucose monitoring, foot examination, eye examination and HbA1c testing. Using Andersen's health behavior model, need factors appear to dominate the definition of which sub-groups were at greatest risk for low as well as high adherence. Findings demonstrate the utility of easily interpreted tree diagrams to design specific culturally appropriate intervention programs targeting sub-populations of diabetes patients who need to improve their self-care behaviors. Limitations and contributions of the study are discussed. |
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Authors:
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Takashi Yamashita; Cary S Kart; Douglas A Noe |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-13 |
Journal Detail:
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Title: Journal of behavioral medicine Volume: - ISSN: 1573-3521 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7807105 Medline TA: J Behav Med Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Scripps Gerontology Center, Miami University, Oxford, OH, 45056, USA, yamasht@muohio.edu. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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