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Cited by 1,141

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

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
DOI 10.1111/jcmm.14170
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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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Cited by

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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
DOI
10.1111/jcmm.14170
OpenAlex
W2911856336
Cited by
1,141
References
40
FWCI
92.60
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
  • China Postdoctoral Science Foundation (2017M612010)
  • National Natural Science Foundation of China (81670567, 81701144)

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.