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Therapy Adherence Predictors in Type 2 Diabetes Mellitus

Published online by Cambridge University Press:  15 April 2020

I. Massano-Cardoso
Affiliation:
Portugal, Miguel Torga Institute Faculty of Medicine of the University of Coimbra, Coimbra, Portugal
A. Galhardo
Affiliation:
Portugal, Miguel Torga Institute CINEICC – Faculty of Psychology and Educational Sciences of the University of Coimbra, Coimbra, Portugal
F. Daniel
Affiliation:
Portugal, Miguel Torga Institute CEIS – Faculty of Economics of University of Coimbra, Coimbra, Portugal
M. Cunha
Affiliation:
Portugal, Miguel Torga Institute, Coimbra, Portugal
V. Rodrigues
Affiliation:
Portugal, Faculty of Medicine of the University of Coimbra, Coimbra, Portugal
M. Carvalheiro
Affiliation:
Portugal, Faculty of Medicine of the University of Coimbra, Coimbra, Portugal

Abstract

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Introduction

The changing epidemiological profile of population in recent decades is related to the socio-economic conditions of contemporaneity. Diabetes mellitus (DM) is positioned in the chronic non-communicable diseases spectrum as one of the most prevalent being responsible for high rates of morbidity and mortality. Therapeutic adhere is of crucial importance because there are high risks associated with non-adherence and it impacts on quality of life.

Objectives

Identifying therapeutic adherence predictors in type 2 diabetes (DM2).

Methods

188 patients attending diabetology consultations at the Department of Endocrinology, Diabetes and Metabolism, at Centro Hospitalar e Universitário de Coimbra and at Associação Protetora dos Diabéticos de Portugal participated in the study. Participants completed the following set of self-report instruments: Beck Depression Inventory (BDI), the Diabetes Health Profile (DHP), the Rosenberg Self-Esteem (RSE), and the social relations dimension of the World Health Organization Quality of Life (WHOQOL). Therapeutic adherence was established base on HbA1C clinical criteria.

Results

Multiple regression analyses revealed that the full model was statistically significant [c 2 (4, n = 188) = 20.79, p >0.001] explaining between 20% and 29.6% of total variance and 76.3% of the cases were correctly classified. The four variables significantly contributed to the model, especially the BDI and the RSE, registering an odds ratio of 1.104 and 1.203, respectively.

Conclusions

In DM2 predictors of non-adherence were depression and diabetes patient health profile while self-esteem and quality of life in social relations, emerged as predictors of adherence.

Type
Article: 0300
Copyright
Copyright © European Psychiatric Association 2015
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