Distress and its effect on adherence to antidiabetic medications among Type 2 diabetes patients in coastal South India

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4 Citations (Scopus)

Abstract

Background: Distress can bring about an unfavorable attitude among the patients toward tackling their disease which can affect adherence to medications. The purpose of this study was to assess the effect of distress on adherence to medication among patients with diabetes. Methodology: In this cross-sectional study, 124 type 2 diabetes patients above 18 years, attending the hospitals affiliated to Kasturba Medical College, Mangalore, selected using nonprobability sampling were interviewed to assess the presence of diabetes-related distress (DRD) and their level of adherence to medications. Distress was assessed using diabetes distress scale. Morisky Adherence Questionnaire was used to assess the level of adherence. Approval was obtained from the Institutional Ethics Committee. Multivariate logistic regression was conducted to assess the influence of domains of distress on adherence to antidiabetic medication and P < 0.05 was considered statistically significant. Results: In our study, 41.9% (n = 52) of the participants had high diabetes distress. Exactly 43.5% (n = 54) of the participants had low adherence to antidiabetic medications. On univariate analysis, participants with low regimen distress, low physician distress, and low interpersonal distress were found to have good adherence to antidiabetic medication. However, on multivariate analysis, only low regimen distress was found to be significantly associated with good adherence to medication among the study participants. Conclusion: DRD is a problem in our study participants which affects the adherence to medications. Identifying distress at an early stage can help doctors formulate and implement remedial measures, thereby improving adherence to medications.

Original languageEnglish
Pages (from-to)216-220
Number of pages5
JournalJournal of Natural Science, Biology and Medicine
Volume8
Issue number2
DOIs
Publication statusPublished - 2017

All Science Journal Classification (ASJC) codes

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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