THE SIGNIFICANCE OF SLEEP DISTURBANCES IN THE CLINICAL AND PSYCHOSOCIAL PRESENTATION OF DEPRESSION - NARRATIVE LITERATURE REVIEW
Abstract
Background: Sleep disturbances are highly prevalent in depressive disorders and are increasingly recognized as both core symptoms and risk factors. Insomnia, hypersomnia, fragmented sleep, and circadian rhythm disruptions—including social jetlag—contribute to the onset, severity, and persistence of depressive symptoms, while impairing cognitive, emotional, and psychosocial functioning.
Methods: A narrative literature review was conducted using PubMed, Web of Science, and Scopus, focusing on peer-reviewed studies published between 2000 and 2025. Studies examining subjective and objective measures of sleep in adult populations with depressive disorders were included, with emphasis on clinical presentation, functional outcomes, and treatment response.
Results: Sleep disturbances are associated with greater depressive symptom severity, earlier onset of illness, impaired psychosocial functioning, and poorer response to treatment. Insomnia is the most common disturbance, while circadian misalignment, including social jetlag, is particularly relevant in adolescents, shift workers, and evening chronotypes. Mechanistic evidence links sleep disturbances to mood dysregulation through HPA axis disruption, inflammation, and altered melatonin secretion. Sleep-focused interventions, such as cognitive-behavioral therapy for insomnia, structured sleep schedules, and light therapy, improve both sleep quality and depressive outcomes, and enhance responsiveness to pharmacological treatments.
Conclusion: Sleep disturbances are integral to the clinical and psychosocial presentation of depression. Early identification and targeted management of insomnia, hypersomnia, and circadian misalignment should be incorporated into routine care to optimize symptom control, functional outcomes, and long-term prognosis.
References
Adam, S., et al. (2022). Insomnia and depressive symptom severity: Evidence from clinical populations. Journal of Affective Disorders, 310, 42–50. https://doi.org/10.1016/j.jad.2022.03.015
Archer, S. N., Viola, A. U., Kyriacou, C. P., von Schantz, M., & Dijk, D.-J. (2021). Genetic influences on circadian misalignment and depression. Chronobiology International, 38(8), 1145–1157. https://doi.org/10.1038/s41576-022-00519-z
Baglioni, C., et al. (2016). Sleep and mental disorders: A meta-analysis of polysomnographic research. Psychological Bulletin, 142(9), 969–990. https://doi.org/10.1037/bul0000052
Ballesio, A. (2023). Inflammatory hypothesis of sleep disturbance and depression: Update and research agenda. Brain, Behavior, & Immunity – Health, 31, 100647. https://doi.org/10.1016/j.bbih.2023.100647
Cox, R. C., et al. (2016). A systematic review of sleep disturbance in anxiety and related disorders. Journal of Anxiety Disorders, 129, 113–120. https://doi.org/10.1016/j.janxdis.2015.12.001
Fang, H., et al. (2019). Sleep disturbance and depression: Mechanisms and clinical implications. Journal of Cellular and Molecular Medicine, 23(10), 6604–6613. https://doi.org/10.1111/jcmm.14170
Gebara, M. A., Siripong, N., DiNapoli, E. A., et al. (2018). Effect of insomnia treatments on depression: A systematic review and meta-analysis. Depression and Anxiety, 35(8), 717–731. https://doi.org/10.1002/da.22776
Goldstein, A., et al. (2014). The role of sleep in emotional brain function. Annual Review of Clinical Psychology, 10, 679–708. https://doi.org/10.1146/annurev-clinpsy-032813-153716
Harvey, A. G. (2008). Insomnia, psychiatric disorders, and the transdiagnostic perspective. Current Directions in Psychological Science, 17(5), 299–303. https://doi.org/10.1111/j.1467-8721.2008.00594.x
Huang, et al. (2025). [Article published online ahead of print]. Journal of Applied Physiology. https://journals.physiology.org/doi/prev/20250115-aop/pdf/10.1152/japplphysiol.00652.2024
Morin, C. M., Bootzin, R. R., Buysse, D. J., Edinger, J. D., Espie, C. A., & Lichstein, K. L. (2006). Psychological and behavioral treatment of insomnia: Update of the evidence (1998–2004). Sleep, 29(11), 1398–1414. https://doi.org/10.1093/sleep/29.11.1398
Nutt, D. J., Wilson, S. J., & Paterson, L. M. (2008). Sleep disorders as core symptoms of depression. Dialogues in Clinical Neuroscience, 10(3), 329–336. https://doi.org/10.31887/DCNS.2008.10.3/dnutt
Riemann, D., Baglioni, C., Bassetti, C., et al. (2017). European guideline for the diagnosis and treatment of insomnia. Journal of Sleep Research, 26(6), 675–700. https://doi.org/10.1111/jsr.12594
Salfi, F., D’Atri, A., Amicucci, G., Viselli, L., Gorgoni, M., & Ferrara, M. (2022). The fall of vulnerability to sleep disturbances in evening chronotypes when working from home and its implications for depression. Scientific Reports, 12, 16256. https://doi.org/10.1038/s41598-022-16256-6
Scott, A. J., et al. (2021). The effect of cognitive behavioural therapy for insomnia on depressive symptoms: A systematic review and meta-analysis. Sleep Medicine Reviews, 58, 101556. https://doi.org/10.1016/j.smrv.2021.101556
Sun, S., et al. (2025). Social jetlag and depressive symptoms among young people: A systematic review and meta-analysis. BMC Psychiatry, 25, 66. https://doi.org/10.1186/s12888-025-07066-x
Troxel, W. M., Kupfer, D. J., Reynolds, C. F., Frank, E., Thase, M. E., Miewald, J. M., & Buysse, D. J. (2012). Insomnia and objectively measured sleep disturbances predict treatment outcome in depressed patients. Journal of Clinical Psychiatry, 73(4), 478–485. https://doi.org/10.4088/JCP.11m07184
World Health Organization. (2025). Depressive disorder (depression) fact sheet. https://www.who.int/news-room/fact-sheets/detail/depression
Views:
20
Downloads:
12
Copyright (c) 2026 Martyna Susek, Amadeusz Furmanek, Mariusz Suchcicki, Karol Krupiniewicz

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles are published in open-access and licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Hence, authors retain copyright to the content of the articles.
CC BY 4.0 License allows content to be copied, adapted, displayed, distributed, re-published or otherwise re-used for any purpose including for adaptation and commercial use provided the content is attributed.

