| Abstract |
Objective To explore the effects of polysomnography (PSG) parameters and suicide risk in patients with depression. Methods The demographic data, clinical characteristics and PSG parameters of 176 inpatients with depression were retrospectively collected, and the suicide risk of the patients was assessed using The Nurses Global Assessment of Suicide Risk (NGASR) at the time of admission. Divided into non-high suicide risk group and high suicide risk group, and compared the differences between groups in PSG parameters. Results There were significant differences between the two groups in age(t=2.904, p=. 004), years of education (Z= -2.621, p=. 009), marriage (χ2=10.348, p=. 000), Self-rating Depression Scale (Z= -2.796, p=. 005), Self-rating Anxiety scale (Z= -2.115, p=. 034), REM latency (Z= -2.591, p=. 010). Logistic regression analysis showed that shortened REM latency was associated with suicide risk（OR=0.284，95%CI：0.128，0.629，p＜0.05）, and after adjusting for demographic data and clinical characteristics, the correlation was still significant (OR=0.362, 95%CI: 0.136, 0.964, P＜0.05). Conclusion Sleep index is related to suicide risk in patients with depression, and REM latency may be used as a detection index of suicide risk in depression.
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