Trial reportScientific reports2017
Longitudinal Association of Sleep Duration with Depressive Symptoms among Middle-aged and Older Chinese.
Trial report in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- Association of sleep duration and risk of mental disorder: a systematic review and meta-analysis.Sleep & breathing = Schlaf & Atmung · 2024Pooled it
- Daytime naps and depression risk: A meta-analysis of observational studies.Frontiers in psychology · 2022Pooled it
- Article
- Longitudinal trajectories and predictive factors of depressive symptomatology in Chinese elderly with hearing loss: a growth mixture modeling analysis.BMC geriatrics · 2026Article
- Multivariate associations of motor performance, sleep quality, depressive symptoms, and grey matter volume in younger and mid-to-older adults.Scientific reports · 2026Article
- Prevalence and related influencing factors of depression symptoms among empty-nest elderly in China.Scientific reports · 2026Article
- Prevalence, associated factors, and machine learning-based prediction of probable depression among individuals with chronic diseases in Bangladesh.BMC psychiatry · 2025Article
- The effect of psychotherapy on the multivariate association between insomnia and depressive symptoms in late-life depression.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Moderating effect of sleep duration on the association between the accumulation of chronic diseases and late-life depressive symptoms among Chinese older adults.Geriatrics & gerontology international · 2025Article
- Impact of multimorbidity and cognitive impairment on depressive symptoms in community-dwelling older adults and their interaction effects.Scientific reports · 2025Article
- The longitudinal relationship between night-time sleep duration, midday napping, and frailty among middle-aged and older people in China: a prospective analysis.Journal of global health · 2025Article
- Nonlinear associations of nighttime sleep and protective napping with depressive symptoms: a cross-sectional analysis from the China Family Panel Studies.Frontiers in psychiatry · 2025Article
- Using machine learning to predict the probability of incident 2-year depression in older adults with chronic diseases: a retrospective cohort study.BMC psychiatry · 2024Article
- Association between sleep duration from midlife to late life and the risk of depressive symptoms: the Singapore Chinese Health Study.BJPsych open · 2024Article
- Negative life events, sleep quality, and depression among older adults in Shandong Province, China: A conditional process analysis based on economic income.Geriatrics & gerontology international · 2024Article
- Instrumental activities of daily living function and cognitive status among Chinese older adults: a serial multiple mediation model.Frontiers in public health · 2024Article
- Identifying the subgroups of depression trajectories among the middle-aged and older Chinese individuals with chronic diseases: an 8-year follow-up study based on CHARLS.Frontiers in public health · 2024Article
- The association between nap time, nighttime sleep and depression in Chinese older adults: A cross-sectional study.PloS one · 2024Article
- Isotemporal substitution analysis of time between sleep, sedentary behavior, and physical activity on depressive symptoms in older adults: a cross-sectional study.Sao Paulo medical journal = Revista paulista de medicina · 2024Article
- Associations of daytime napping and nighttime sleep quality with depressive symptoms in older Chinese: the Guangzhou biobank cohort study.BMC geriatrics · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to evaluate the associations of nighttime sleep duration and midday napping with risk of depressive symptoms incidence and persistence among middle-aged and older Chinese. Data from China Health and Retirement Longitudinal Study, CHARLS (2011-2013), were analyzed. Depressive symptoms were identified by the 10-item version of the Centre for Epidemiological Studies Depression scale (CESD-10). Multivariate binary logistic regression models were fitted. There were 7156 individuals with CESD-10 scores < 10 and 3896 individuals with CESD-10 scores ≥ 10 at baseline included in this study. After controlling for potential covariates, nighttime sleep duration <6 hours was associated with high risk of incident depressive symptoms (OR = 1.450, 95%CI: 1.193, 1.764 for middle aged population, and OR = 2.084, 95%CI:1.479, 2.936 for elderly) and persistent depressive symptoms (OR = 1.404, 95%CI: 1.161, 1.699 for middle aged population, and OR = 1.365, 95%CI: 0.979, 1.904 for elderly). For depressed individuals, longer midday napping (≥60 minutes) was associated with lower persistent depressive symptoms (OR = 0.842, 95%CI: 0.717, 0.989). Our study concluded that short nighttime sleep duration was an independent risk factor of depressive symptoms incidence and persistence. Depressed individuals with long midday napping were more likely to achieve reversion than those who have no siesta habit.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.