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2023, Number 1

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Acta Med 2023; 21 (1)

Depressive symptoms as predictors of treatment adherence in patients with type 2 diabetes: a cross-sectional study

Lugo BKS, Medina RJC, Rodríguez WFL, Díaz GEJ
Full text How to cite this article 10.35366/109017

DOI

DOI: 10.35366/109017
URL: https://dx.doi.org/10.35366/109017

Language: Spanish
References: 22
Page: 28-31
PDF size: 147.00 Kb.


Key words:

depression, diabetes mellitus, medication adherence.

ABSTRACT

Introduction: type 2 diabetes (T2D) is a condition with a high disease burden and is frequently accompanied by depressive symptoms, which could affect treatment adherence. Objective: a cross-sectional study was done to measure the impact of depressive symptoms on adherence to treatment of people with T2D. Material and methods: sociodemographic data were collected; the Hamilton depression scale (HADS) was used to measure depressive symptoms, and the Morisky medication adherence scale (MMAS) to assess adherence. Results: correlations were found between the male gender and the number of antidiabetic medications, physical activity, and several medications, and HADS score and low adherence. A significant regression was found between the HADS and MMAS scores. Conclusions: depressive symptoms were predictors of adherence in patients with T2D, and associations were found between sociodemographic and clinical variables.


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C?MO CITAR (Vancouver)

Acta Med. 2023;21