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The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes

INTRODUCTION: Diabetes and depression are two common and major non-communicable diseases with significant disease burdens worldwide. AIM: The aim of this study is to obtain the association among A1C levels and symptoms of depression in patients with type 2 diabetes in family medicine offices. METHOD...

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Autores principales: Hasanovic, Elvira, Trifunovic, Natasa, Dzambo, Irma, Erkocevic, Hasiba, Cemerlic, Adem, Jatic, Zaim, Kulenovic, Alma Dzubur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AVICENA, d.o.o., Sarajevo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780785/
https://www.ncbi.nlm.nih.gov/pubmed/33424445
http://dx.doi.org/10.5455/msm.2020.32.177-182
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author Hasanovic, Elvira
Trifunovic, Natasa
Dzambo, Irma
Erkocevic, Hasiba
Cemerlic, Adem
Jatic, Zaim
Kulenovic, Alma Dzubur
author_facet Hasanovic, Elvira
Trifunovic, Natasa
Dzambo, Irma
Erkocevic, Hasiba
Cemerlic, Adem
Jatic, Zaim
Kulenovic, Alma Dzubur
author_sort Hasanovic, Elvira
collection PubMed
description INTRODUCTION: Diabetes and depression are two common and major non-communicable diseases with significant disease burdens worldwide. AIM: The aim of this study is to obtain the association among A1C levels and symptoms of depression in patients with type 2 diabetes in family medicine offices. METHODS: This cross-sectional study was carried out between June 2016 and July 2017. We recruited 150 adults with type 2 diabetes from various family medicine offices. The study questionnaire had two parts; the first one for participants and the second one for family medicine physicians. Participants completed the part of the questionnaire with the PHQ-9 scale and questions regarding demographic data. Family medicine physicians completed the part of the questionnaire with questions concerning clinical data. A univariate and multivariate linear regression analysis was conducted to identify significant predictors of depressive symptoms revealed by the PHQ-9 score. RESULTS: Multiple linear regression showed that the level of A1C was a significant predictor of the PHQ-9 score in all three models. Increases in the A1C level were followed by increases in depressive symptoms. Other significant predictors of a positive PHQ-9 score were smoking, level of education and income. CONCLUSION: The level of A1C as an indicator of glycemic control has been shown to have a significant association with the scores of the PHQ-9 questionnaire, which identifies the intensity of symptoms of depression. An increase in the level of A1C is followed by an increase in the intensity of symptoms of depression.
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spelling pubmed-77807852021-01-07 The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes Hasanovic, Elvira Trifunovic, Natasa Dzambo, Irma Erkocevic, Hasiba Cemerlic, Adem Jatic, Zaim Kulenovic, Alma Dzubur Mater Sociomed Original Paper INTRODUCTION: Diabetes and depression are two common and major non-communicable diseases with significant disease burdens worldwide. AIM: The aim of this study is to obtain the association among A1C levels and symptoms of depression in patients with type 2 diabetes in family medicine offices. METHODS: This cross-sectional study was carried out between June 2016 and July 2017. We recruited 150 adults with type 2 diabetes from various family medicine offices. The study questionnaire had two parts; the first one for participants and the second one for family medicine physicians. Participants completed the part of the questionnaire with the PHQ-9 scale and questions regarding demographic data. Family medicine physicians completed the part of the questionnaire with questions concerning clinical data. A univariate and multivariate linear regression analysis was conducted to identify significant predictors of depressive symptoms revealed by the PHQ-9 score. RESULTS: Multiple linear regression showed that the level of A1C was a significant predictor of the PHQ-9 score in all three models. Increases in the A1C level were followed by increases in depressive symptoms. Other significant predictors of a positive PHQ-9 score were smoking, level of education and income. CONCLUSION: The level of A1C as an indicator of glycemic control has been shown to have a significant association with the scores of the PHQ-9 questionnaire, which identifies the intensity of symptoms of depression. An increase in the level of A1C is followed by an increase in the intensity of symptoms of depression. AVICENA, d.o.o., Sarajevo 2020-09 /pmc/articles/PMC7780785/ /pubmed/33424445 http://dx.doi.org/10.5455/msm.2020.32.177-182 Text en © 2020 Elvira Hasanovic, Natasa Trifunovic, Irma Dzambo, Hasiba Erkocevic, Adem Cemerlic, Zaim Jatic, Alma Dzubur Kulenovic http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Hasanovic, Elvira
Trifunovic, Natasa
Dzambo, Irma
Erkocevic, Hasiba
Cemerlic, Adem
Jatic, Zaim
Kulenovic, Alma Dzubur
The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes
title The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes
title_full The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes
title_fullStr The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes
title_full_unstemmed The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes
title_short The Association among Glycemic Control and Depression Symptoms in Patients with Type 2 Diabetes
title_sort association among glycemic control and depression symptoms in patients with type 2 diabetes
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7780785/
https://www.ncbi.nlm.nih.gov/pubmed/33424445
http://dx.doi.org/10.5455/msm.2020.32.177-182
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