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Domains from the health belief model predict enrollment in the National Diabetes Prevention Program among insured adults with prediabetes
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7 2022
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Source: J Diabetes Complications. 36(7):108220
[PDF-543.08 KB]
Details:
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Alternative Title:J Diabetes Complications
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Personal Author:
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Description:Aims:
To examine enrollment in the National Diabetes Prevention Program (DPP) by insured adults with prediabetes according to domains of the Health Belief Model (HBM).
Methods:
Between 2015 and 2019, University of Michigan employees, retirees, and dependents with prediabetes were offered the National DPP at no out-of-pocket cost. Individuals with prediabetes were identified and mailed letters encouraging them to enroll. We surveyed those who enrolled and a random sample of those who did not using the HBM as a framework to examine factors associated with enrollment. Analyses were performed using multivariable logistic regression models.
Results:
Of 64,131 employees, retirees, and dependents, 8131 were identified with prediabetes and 776 (9.5%) enrolled in the National DPP. Of those surveyed, 532 of 776 National DPP enrollees and 945 of 2673 non-enrollees responded to the survey (adjusted response rates 74% and 43%, respectively). Among survey respondents, factors associated with National DPP enrollment included older age, female sex, higher BMI, prediabetes awareness, greater perceived benefits of health-protective action, and one or more cues to action.
Conclusions:
Optimizing National DPP enrollment among adults with prediabetes will require identifying individuals with prediabetes, increasing personal awareness of the diagnosis, increasing perceived benefits of enrollment, and providing strong cues to action.
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Pubmed ID:35613987
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Pubmed Central ID:PMC10928671
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Funding:
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Volume:36
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Issue:7
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