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Predictors of glycemic management among patients with type 2 diabetes

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  • Razel B. Milo
  • Cynthia D. Connelly

Abstract

Aims and objectives To identify correlates of glycemic control among people with type 2 diabetes mellitus. Background Approximately 28.8 million adults have type 2 diabetes mellitus in the United States with $245 billion spent on disability and lost productivity. The importance of self‐management activities in type 2 diabetes mellitus treatment is well recognised. Extant studies have explored self‐management activities of individuals with type 2 diabetes mellitus with mixed findings. Continued attention is warranted to identify predictors of glycemic control. Design A cross‐sectional study. Methods A convenience sample, aged 18 and 75 years with a diagnosis of type 2 diabetes mellitus, was recruited and enrolled from three southern California community‐based organisations between June–December 2016. Perceived self‐efficacy, diabetes knowledge, self‐management activities, select demographics, chronic conditions and HbA1C levels were assessed. Bivariate and multiple regression analyses were use to identify correlates of glycemic control. The STROBE checklist for cross‐sectional studies was used to develop this study. Results The total number of participants included in analyses was 100. Sixty‐nine per cent had HbA1C ≥7%; average number of years with type 2 diabetes mellitus was 8.6 (SD = 6.52); 57% were female; and 54% had a high school or greater education. The multiple regression model significantly predicted 20% of the variance in HbA1C levels, F(6, 93) = 4.91, p

Suggested Citation

  • Razel B. Milo & Cynthia D. Connelly, 2019. "Predictors of glycemic management among patients with type 2 diabetes," Journal of Clinical Nursing, John Wiley & Sons, vol. 28(9-10), pages 1737-1744, May.
  • Handle: RePEc:wly:jocnur:v:28:y:2019:i:9-10:p:1737-1744
    DOI: 10.1111/jocn.14779
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    References listed on IDEAS

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    1. Liwan Ounnapiruk & Virapun Wirojratana & Nitaya Meehatchai & Sue Turale, 2014. "Effectiveness of a behavior modification program for older people with uncontrolled Type 2 Diabetes," Nursing & Health Sciences, John Wiley & Sons, vol. 16(2), pages 216-223, June.
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    Cited by:

    1. Marcus Heise & Astrid Fink & Jens Baumert & Christin Heidemann & Yong Du & Thomas Frese & Solveig Carmienke, 2021. "Patterns and associated factors of diabetes self-management: Results of a latent class analysis in a German population-based study," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.

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