Background: Examining the relationship between sleep and depression may be important for understanding the aetiology of affective disorders. Most studies that use electroencephalography (EEG) to objectively assess sleep have been conducted using polysomnography in the laboratory. Impaired sleep continuity, including prolonged sleep latency and changes in rapid eye movement (REM) sleep, have been reported to be associated with depression in clinical settings. Here, we aimed to use home EEG to analyse the association between sleep and depressive symptoms.
Methods: We performed a cross-sectional epidemiological study in a large Japanese working population to identify the EEG parameters associated with depressive symptoms based on the results of a questionnaire survey and home EEG measurements using 1-channel (1-Ch) EEG.
Results: The study included 650 Japanese patients (41.2% male, 44.7 ± 11.5 years) who underwent home EEG monitoring along with the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms. Logistic regression analysis revealed that depressive symptoms (PHQ-9 ≥ 10) were associated with sleep latency (odds ratio (OR) 1.02; 95% confidence interval (CI): 1.00-1.04) and REM latency (OR, 0.99; 95% CI: 0.99-1.00).
Conclusions: Our results suggest that depressive symptoms are associated with prolonged sleep latency and reduced REM latency in a Japanese working population. The 1-Ch EEG may be a useful tool to monitor sleep and screen depression/depressive symptoms in non-clinical settings.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872621 | PMC |
http://dx.doi.org/10.3390/ijerph19042112 | DOI Listing |
J Nephrol
January 2025
School of Life and Medical Sciences, University of Hertfordshire, College Lane Campus, Hatfield, UK.
Integr Cancer Ther
January 2025
Guang 'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Perm J
January 2025
Department of Psychiatry, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA.
Background: Multiple studies have demonstrated associations between psychiatric conditions and Parkinson's disease (PD) development; fewer have examined psychotic-spectrum disorders and PD development.
Objective: The objective was to assess the prevalence of psychotic-spectrum disorders with and without depression and anxiety preceding a PD diagnosis.
Methods: In this retrospective, case-control study of adults > 60 years of age, cases were identified by PD diagnosis and controls were identified in a 3:1 ratio by ambulatory encounter from 2015 to 2020.
BMC Med Res Methodol
January 2025
Department of Women's and Children's Health - Obstetric & Reproductive Health Research, Uppsala University, Uppsala, 751 85, Sweden.
Background: Peripartum depression is a common but potentially debilitating pregnancy complication. Mobile applications can be used to collect data throughout the pregnancy and postpartum period to improve understanding of early risk indicators.
Aim: This study aimed to improve understanding of why women drop out of a peripartum depression mHealth study, and how we can improve the app design.
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