Hasanovic Elvira, Trifunovic Natasa, Dzambo Irma, Erkocevic Hasiba, Cemerlic Adem, Jatic Zaim, Kulenovic Alma Dzubur
Public Institution Health Centre of Canton Sarajevo.
Faculty of Medicine University of Sarajevo.
Mater Sociomed. 2020 Sep;32(3):177-182. doi: 10.5455/msm.2020.32.177-182.
Diabetes and depression are two common and major non-communicable diseases with significant disease burdens worldwide.
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.
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.
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.
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.
糖尿病和抑郁症是两种常见的主要非传染性疾病,在全球范围内造成重大疾病负担。
本研究旨在探讨家庭医疗诊所中2型糖尿病患者的糖化血红蛋白(A1C)水平与抑郁症状之间的关联。
本横断面研究于2016年6月至2017年7月进行。我们从多家家庭医疗诊所招募了150名2型糖尿病成年患者。研究问卷有两部分;第一部分针对参与者,第二部分针对家庭医生。参与者使用PHQ-9量表并回答有关人口统计学数据的问题来完成问卷的这一部分。家庭医生通过回答有关临床数据的问题来完成问卷的这一部分。进行单变量和多变量线性回归分析,以确定PHQ-9评分所显示的抑郁症状的重要预测因素。
多元线性回归显示,在所有三个模型中,A1C水平都是PHQ-9评分的重要预测因素。随着A1C水平的升高,抑郁症状也随之增加。PHQ-9评分呈阳性的其他重要预测因素是吸烟、教育程度和收入。
糖化血红蛋白(A1C)水平作为血糖控制的指标,已被证明与识别抑郁症状强度的PHQ-9问卷得分有显著关联。随着A1C水平的升高,抑郁症状的强度也会增加。