Analysis on sleep quality and characteristics of depression patients with different degrees of anxiety
10.3969/j.issn.1674-8115.2020.03.009
- Author:
Ye-Zhou TANG
1
Author Information
1. Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine
- Publication Type:Journal Article
- Keywords:
Anxiety;
Depression;
Hamilton Anxiety Scale;
Hamilton Depression Scale-17;
Pittsburgh Sleep Quality Index Scale;
Sleep quality
- From:
Journal of Shanghai Jiaotong University(Medical Science)
2020;40(3):333-338
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To compare the sleep quality of depressive patients with and without anxiety symptoms. Methods: Hamilton Depression Scale-17 (HAMD-17), Hamilton Anxiety Scale (HAMA) and Pittsburgh Sleep Quality Index Scale (PSQI) were used to assess the level of patients' depression, anxiety and sleep quality. The HAMA scores of patients ranged from 0 to 6 were in the anxiety-free group, 7 to 13 in the anxiety-prone group, and 14 or more in the anxiety group. Results: The PSQI scores of the group with anxiety were higher than those of anxiety-prone group and anxiety-free group (both P=0.000). Partial correlation analysis showed that, after controlling HAMD-17 scores, the correlation between HAMA scores and PSQI scores reduced gradually with the increase of anxiety level. The multiple linear regression analysis showed that sleep disorder was still an independent risk factor for depression after controlling HAMA score. Sleep latency, sleep time, hypnotics and daytime dysfunction were independent predictive factors of HAMD-17 score (all P<0.05). Conclusion: In patients with depressive disorder, the severity of sleep disorder increases with the increase of anxiety level. In the case of comorbidity anxiety, sleep disorder is still an independent risk factor for depressive disorder, and the relationship between depressive symptoms and sleep disorder indicators of different dimensions suggests that sleep disorder plays a comprehensive role in the pathogenesis of depressive disorder.
