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Depression in sleep disturbance: A review on a bidirectional relationship, mechanisms and treatment

Open access
Fang, Hong, Tu, Sheng, Sheng, Jifang, Shao, Anwen·2019·Journal of Cellular and Molecular Medicine

Abstract

Sleep disturbance is the most prominent symptom in depressive patients and was formerly regarded as a main secondary manifestation of depression. However, many longitudinal studies have identified insomnia as an independent risk factor for the development of emerging or recurrent depression among young, middle‐aged and older adults. This bidirectional association between sleep disturbance and depression has created a new perspective that sleep problems are no longer an epiphenomenon of depression but a predictive prodromal symptom. In this review, we highlight the treatment of sleep disturbance before, during and after depression, which probably plays an important role in improving outcomes and preventing the recurrence of depression. In clinical practice, pharmacological therapies, including hypnotics and antidepressants, and non‐pharmacological therapies are typically applied. A better understanding of the pathophysiological mechanisms between sleep disturbance and depression can help psychiatrists better manage this comorbidity.

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Metadata

Authors
Fang, H., Tu, S., Sheng, J., & Shao, A.
Venue
Journal of Cellular and Molecular Medicine
Publisher
Wiley
Published
2019-02-07
Volume
23
Issue
4
Pages
2324-2332
ISSN
  • 1582-1838 (ISSN-L)
  • 1582-4934
OpenAlex
W2911856336
Cited by
1,141
References
40
FWCI
92.60
Type
journal article
Language
en
Open access
gold
Funders
  • China Postdoctoral Science Foundation (2017M612010)
  • National Natural Science Foundation of China (81670567, 81701144)

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CoChat. (2026). Citation check: Depression in sleep disturbance: A review on a bidirectional relationship, mechanisms and treatment. https://app.cochat.ai/papers/10.1111/jcmm.14170
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Fang, H., Tu, S., Sheng, J., & Shao, A. (2019). Depression in sleep disturbance: A review on a bidirectional relationship, mechanisms and treatment. Journal of Cellular and Molecular Medicine. https://doi.org/10.1111/jcmm.14170

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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