Interaction between depression and sleep quality in patients with type 2 diabetes mellitus
10.3760/cma.j.issn.1000-6699.2015.02.004
- VernacularTitle:抑郁和睡眠质量对2型糖尿病患者生活质量的交互作用
- Author:
Pan ZHANG
;
Heqing LOU
;
Peian LOU
;
Jing ZHAO
;
Guiqiu CHANG
;
Lei ZHANG
;
Zongmei DONG
;
Peipei CHEN
;
Ting LI
- Publication Type:Journal Article
- Keywords:
Diabetes mellitus,type 2;
Quality of life;
Sleep quality;
Depression;
Interaction
- From:
Chinese Journal of Endocrinology and Metabolism
2015;(2):107-110
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the interaction of sleep quality and depression among patients with type 2 diabetes. Methods With multistage cluster sampling, all the participants were interviewed with self-designed questionnaire, diabetes-specific quality of life scale and self-rating depression scale, and Pittsburgh sleep quality index scale. Chi-square test was used for qualitative data. Risk factors were analyzed by means of multiple linear regression or logistic regression model. The indicator of interaction was calculated according to the delta method. Results There were 944 residents involved in the final analysis, including 365 males and 579 females. The average age was (64. 0 ± 10. 2) years. Compared with patients with type 2 diabetes mellitus( T2DM) who had good sleep quality and no depression symptoms, the risk of quality of life in those with good sleep quality but depression was 2. 75 (95% CI 1. 59-4. 77); and the risk of quality of life in those with poor sleep quality and no depression was 1. 55(95%CI 1. 03-2. 33). The risk of quality of life in those with poor sleep quality and depression was 4. 97(95% CI 2. 34-9. 63). Due to poor sleep quality and depression in patients with T2DM the combined interaction index was 2. 48 (95% CI 1. 44-4. 29), the relative excess risk was 3. 42(95% CI 2. 16-4. 67), and the attributable proportion was 0. 51(95% CI 0. 32-0. 70). Conclusion A combined interaction of poor sleep quality and depression in affecting the quality of life was found in type 2 diabetic patients. When both factors existed at the same time, the interaction effect of these 2 factors was greater than the single one.