ArticleFrontiers in psychiatry2022
Sleep Efficiency May Predict Depression in a Large Population-Based Study.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Changes in sleep quality and sleep disturbances in the general population from before to during the COVID-19 lockdown: A systematic review and meta-analysis.Frontiers in psychiatry · 2023Pooled it
- Digital Monitoring of Micro- and Macro-Movement Regularity in Psychiatric Inpatients With Depression.Psychiatry investigation · 2026Article
- A network analysis of sleep quality, cognitive function, and depressive symptoms among community-dwelling older adults.Frontiers in psychiatry · 2026Article
- CD4Frontiers in psychiatry · 2026Article
- Ambient and Bedroom Heat in Relation to Sleep Health in a Marginalized Community That Is One of the Hottest in Los Angeles.International journal of environmental research and public health · 2025Article
- Relationship Between Short Video Addiction Tendency and Depression Among Rural Older Adults: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Investigating the Impact of rTMS in Combination With Antidepressant Medications on Residual Symptoms in Acute Depression.Actas espanolas de psiquiatria · 2025Article
- Mental health, substance use, and a composite of sleep health in adults, 2018 Ohio behavioral risk factor surveillance system.Sleep medicine · 2024Article
- The Complex Relationship between Sleep and Cognitive Reserve: A Narrative Review Based on Human Studies.Brain sciences · 2024Review
- Prevalence of primary aldosteronism in patients with concomitant hypertension and obstructive sleep apnea, baseline data of a cohort.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Objectives: The purpose of our study was to investigate the effect of objective sleep characteristics on the incidence of depression. Methods: The participants of our study (1,595 men and 1,780 women with 63.1 ± 10.7 years) were selected from the Sleep Heart Health Study (SHHS) datasets. Depression was defined as the first occurrence between SHHS visit 1 and visit 2. Objective sleep characteristics, including sleep efficiency (SE), wake after sleep onset (WASO), sleep fragmentation index (SFI) and arousal index (ArI), were monitored by polysomnography. Multivariable logistic regression was used to explore the relationship between sleep characteristics and depression. Results: A total of 248 patients with depression (7.3%) were observed between SHHS visits 1 and 2. After adjusting for covariates, SE (odds ratio [OR], 0.891; 95% confidence interval [CI] 0.811-0.978; Conclusions: SE and WASO may be markers for the incidence of depression. The association between SE and depression was intensified in men.
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