Volume 22 Issue 8
Aug.  2024
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ZHENG Jifeng, FENG Caiqin. The correlation between the degree of depression and polysomnography parameters and fatigue level in patients with late-onset depression[J]. Chinese Journal of General Practice, 2024, 22(8): 1347-1349. doi: 10.16766/j.cnki.issn.1674-4152.003633
Citation: ZHENG Jifeng, FENG Caiqin. The correlation between the degree of depression and polysomnography parameters and fatigue level in patients with late-onset depression[J]. Chinese Journal of General Practice, 2024, 22(8): 1347-1349. doi: 10.16766/j.cnki.issn.1674-4152.003633

The correlation between the degree of depression and polysomnography parameters and fatigue level in patients with late-onset depression

doi: 10.16766/j.cnki.issn.1674-4152.003633
Funds:

 2023RC292

  • Received Date: 2024-02-18
    Available Online: 2024-11-19
  •   Objective  The differences in polysomnography parameters and fatigue levels were compared between patients with late-onset depression and non-depressed elderly patients, and the correlation between the degree of depression and sleep quality, structure and fatigue level in patients with late-onset depression was further evaluated.  Methods  A total of 52 patients with late-onset depression admitted to Shaoxing Seventh People ' s Hospital from March 2020 to March 2023 were selected as the study group, and 67 elderly patients without depression during the same period were selected as the control group. The levels of polysomnography parameters and fatigue were compared between groups. Additionally, the correlation between the degree of depression and polysomnography parameters as well as fatigue level in patients with late-onset depression was evaluated.  Results  The sleep efficiency (SE), percentage of N2 phase (N2%) and percentage of slow wave sleep (SWS%) in the study group were lower than those in the control group (P < 0.05). The Pittsburgh sleep quality index (PSQI), sleep latency (SL), micro-arousal index (MAI), fatigue severity scale (FSS), percentage of N1 phase (N1%), percentage of rapid eye movement sleep (REM%), activity, intensity and density of rapid eye movement sleep (REM) in the study group were higher than those in the control group (P < 0.05). Correlation analysis showed that SE and N2% were negatively correlated with the degree of depression in patients, rs=-0.869 and -0.734, respectively. Other indicators were positively correlated with the degree of depression in patients, which were PQSI score (rs=0.786), SL (rs=0.649), AMI (rs=0.714), FSS score (rs=0.738), N1% (rs=0.687), SWS% (rs=0.608), REM% (rs=0.708), REM activity (rs=0.815), REM intensity (rs=0.837) and REM density (rs=0.707).  Conclusion  The sleep quality of patients with late-onset depression is decreased, accompanied by disrupted sleep structure and aggravated fatigue, exhibiting a linear correlation with the degree of depression.

     

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