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Relationships of multidimensional factors to self-management in patients with diabetes: A Cross-sectional, correlational study

  • Seongkum Heo
  • , Jung Hee Kang
  • , Tammy Barbé
  • , Jin Shil Kim
  • , Tara F. Bertulfo
  • , Pattie Troyan
  • , Daphnee Stewart
  • , Erica Umeakunne

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Poor self-management in patients with diabetes is a consistent issue, leading to diabetes complications. The purpose of this study was to examine the relationships of demographic, cognitive, psychological, social, and physiological factors to self-management in patients with diabetes. In this cross-sectional, correlational study, data were collected from 98 patients through REDCap in 2023. Multiple regression analysis was used to address the study purpose. In the sample, adherence to adequate self-management was poor. Knowledge, self-efficacy, and body mass index (BMI) were associated with overall diabetes self-management. Self-efficacy and BMI were associated with diet and exercise. Knowledge and self-efficacy were associated with blood glucose testing. No factors were associated with smoking and foot care. In conclusion, different factors were associated with different types of self-management, but BMI and self-efficacy were associated with most types of self-management. Clinicians and researchers can target BMI, self-efficacy, and knowledge to improve self-management in patients with diabetes.

Original languageEnglish
Pages (from-to)270-276
Number of pages7
JournalGeriatric Nursing
Volume55
DOIs
StatePublished - Jan 1 2024

Bibliographical note

Publisher Copyright:
© 2023

Funding

One recruitment method was via ResearchMatch, “a national health volunteer registry that was created by several academic institutions and supported by the U.S. National Institutes of Health as part of the Clinical Translational Science Award (CTSA) program . ResearchMatch has a large population of volunteers who have consented to be contacted by researchers about health studies for which they may be eligible.”

Funders
National Institutes of Health (NIH)

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Body mass index
    • Diabetes mellitus
    • Knowledge
    • Self-efficacy
    • Self-management

    ASJC Scopus subject areas

    • Gerontology

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