REM Sleep Fragmentation in Patients With Short-Term Insomnia Is Associated With Higher BDI Scores
Bibliographic Data
| ID | 15525301 |
|---|---|
| Authors | Danjuan Wu (Zhejiang University), Maoqing Tong (Zhejiang University, corresponding author), Yunxin Ji (0000-0001-6112-3440, Zhejiang University, corresponding author), Liemin Ruan (Zhejiang University), Zhongze Lou (0000-0002-1757-9368, Zhejiang University), He Gao (0000-0002-7096-7175), Huaijin Gao (0009-0004-4356-1534, Ningbo Kangning Hospital), Qing Yang (0000-0001-6621-080X, Ningbo First Hospital) |
| Year | 2021 |
| Volume | 12 |
| Pages | 733998-733998 |
| Publication date | 2021-09-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2021.733998 |
| PMID | 34566728 |
| OpenAlex | W3200596786 |
| Language | EN |
| References cited | 36 |
Objective: To observe the changes in sleep characteristics and BDI scores in patients with short-term insomnia disorder (SID) using a longitudinal observational study. Methods: Fifty-four patients who met the criteria for SID of the International Classification of Sleep Disorders, third edition, were recruited. Depression levels were assessed using the Beck depression inventory (BDI) at enrollment and after 3 months of follow-up, respectively. Sleep characteristics were assessed by polysomnography. Results: After 3 months of follow-up, the group was divided into SID with increased BDI score (BDI >15) and SID with normal BDI score (BDI ≤ 15) according to the total BDI score of the second assessment. The differences in rapid eye movement (REM) sleep latency, REM sleep arousal index, and NREM sleep arousal index between the two groups were statistically significant. The total BDI score was positively correlated with REM and NREM sleep arousal index and negatively correlated with REM sleep latency, which were analyzed by Pearson correlation coefficient. Multiple linear regression was used to construct a regression model to predict the risk of depression in which the prediction accuracy reached 83.7%. Conclusion: REM sleep fragmentation is closely associated with future depressive status in patients with SID and is expected to become an index of estimating depression risk
Anxiety · Arousal · Beck Depression Inventory · Depression (economics · Electroencephalography · Insomnia · Logistic regression · Non-rapid eye movement sleep · Polysomnography · Primary Insomnia · Psychiatry · Sleep disorder · Circadian rhythm and melatonin · Clinical Psychology · Medicine · Psychology · Sleep and related disorders · Sleep and Wakefulness Research · Internal Medicine
| Highly cited | No |
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