Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource

References

• Gilmore KJ, Meersand P. Normal Child and Adolescent Development: A Psychodynamic Primer. American Psychiatric Pub; 2013.
   Google Scholar
• Costello EJ, Egger H, Angold A. 10-year research update review: the epidemiology of child and adolescent psychiatric disorders: i. Methods and public health burden. J Am Acad Child Adolesc Psychiatr. 2005;44(10):972–986. doi:10.1097/01.chi.0000172552.41596.6f
   PubMed Web of Science ®Google Scholar
• Dunn V, Goodyer IM. Longitudinal investigation into childhood-and adolescence-onset depression: psychiatric outcome in early adulthood. Br J Psychiatry. 2006;188(3):216–222. doi:10.1192/bjp.188.3.216
   PubMedGoogle Scholar
• March J, Silva S, Petrycki S, et al. Fluoxetine, cognitive-behavioral therapy, and their combination for adolescents with depression: treatment for Adolescents With Depression Study (TADS) randomized controlled trial. JAMA. 2004;292(7):807–820.
   PubMed Web of Science ®Google Scholar
• Lewinsohn PM, Rohde P, Seeley JR, et al. Natural course of adolescent major depressive disorder in a community sample: predictors of recurrence in young adults. Am J Psychiatry. 2000;157(10):1584–1591. doi:10.1176/appi.ajp.157.10.1584
   PubMed Web of Science ®Google Scholar
• Orth Z, van Wyk B. Adolescent mental wellness: a systematic review protocol of instruments measuring general mental health and well-being. BMJ open. 2020;10(8):e037237. doi:10.1136/bmjopen-2020-037237
   PubMed Web of Science ®Google Scholar
• Windfuhr K, While D, Hunt I, et al. Suicide in juveniles and adolescents in the United Kingdom. J Child Psychol Psychiatry. 2008;49(11):1155–1165. doi:10.1111/j.1469-7610.2008.01938.x
   PubMed Web of Science ®Google Scholar
• Hawton K, Van Heeringen K. The International Handbook of Suicide and Attempted Suicide. John Wiley & Sons; 2000.
   Google Scholar
• Clayborne ZM, Varin M, Colman I. Systematic review and meta-analysis: adolescent depression and long-term psychosocial outcomes. J Am Acad Child Adolesc Psychiatr. 2019;58(1):72–79. doi:10.1016/j.jaac.2018.07.896
   PubMed Web of Science ®Google Scholar
• Fergusson DM, Boden JM, Horwood LJ. Recurrence of major depression in adolescence and early adulthood, and later mental health, educational and economic outcomes. Br J Psychiatry. 2007;191(4):335–342. doi:10.1192/bjp.bp.107.036079
   PubMed Web of Science ®Google Scholar
• Zisook S, Rush AJ, Albala A, et al. Factors that differentiate early vs. later onset of major depression disorder. Psychiatry Res. 2004;129(2):127–140. doi:10.1016/j.psychres.2004.07.004
   PubMed Web of Science ®Google Scholar
• American Psychiatric Association D, Association AP. Diagnostic and Statistical Manual of Mental Disorders: DSM-5: American Psychiatric Association. Washington, DC: American Psychiatric Association D, Association AP; 2013.
   Google Scholar
• World Health Organization. ICD-11 for Mortality and Morbidity Statistics (2018). World Health Organization; 2018.
   Google Scholar
• Fang H, Tu S, Sheng J, et al. Depression in sleep disturbance: a review on a bidirectional relationship, mechanisms and treatment. J Cell & Mol Med. 2019;23(4):2324–2332. doi:10.1111/jcmm.14170
   PubMed Web of Science ®Google Scholar
• Ford DE, Kamerow DB. Epidemiologic study of sleep disturbances and psychiatric disorders. An opportunity for prevention? JAMA. 1989;262(11):1479–1484. doi:10.1001/jama.262.11.1479
   PubMed Web of Science ®Google Scholar
• Tsuno N, Besset A, Ritchie K. Sleep and depression. J Clin Psychiatry. 2005;66(10):1254–1269. doi:10.4088/JCP.v66n1008
   PubMed Web of Science ®Google Scholar
• Wichniak A, Wierzbicka A, Jernajczyk W. Sleep as a biomarker for depression. Int Rev Psychiatry. 2013;25(5):632–645. doi:10.3109/09540261.2013.812067
   PubMed Web of Science ®Google Scholar
• Bzdok D, Meyer-Lindenberg A. Machine learning for precision psychiatry: opportunities and challenges. Biol Psych. 2018;3(3):223–230. doi:10.1016/j.bpsc.2017.11.007
   Web of Science ®Google Scholar
• Baştanlar Y, Özuysal M. Introduction to machine learning. miRNomics. 2014;2:105–128.
   Google Scholar
• Zhang GQ, Cui L, Mueller R, et al. The national sleep research resource: towards a sleep data commons. J Am Med Inform Assoc. 2018;25(10):1351–1358. doi:10.1093/jamia/ocy064
   PubMed Web of Science ®Google Scholar
• Tubbs AS, Hendershot S, Ghani SB, et al. Social jetlag and other aspects of sleep are linked to non-suicidal self-injury among college students. Arch Suicide Res. 2023;27(2):686–703. doi:10.1080/13811118.2022.2057262
   PubMed Web of Science ®Google Scholar
• China CPsGotPsRo. Notification on the issuance of measures for ethical review of life science and medical research involving human beings 2023 Available from: https://www.gov.cn/zhengce/zhengceku/2023-02/28/content_5743658.htm. Accessed February 19, 2024.
   Google Scholar
• American Psychiatric Publishing, Inc. Diagnostic and Statistical Manual of Mental Disorders: DSM-5™. 5th ed. Arlington, VA, US: American Psychiatric Publishing, Inc; 2013.
   Google Scholar
• Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Measur. 1977;1(3):385–401. doi:10.1177/014662167700100306
   Web of Science ®Google Scholar
• Smarr KL, Keefer AL. Measures of depression and depressive symptoms: beck Depression Inventory-II (BDI-II), Center for Epidemiologic Studies Depression Scale (CES-D), Geriatric Depression Scale (GDS), Hospital Anxiety and Depression Scale (Hads), and Patient Health Questionnaire-9 (PHQ-9). Arthritis Care Res. 2011;63(Suppl 11):S454–66. doi:10.1002/acr.20556
   PubMed Web of Science ®Google Scholar
• Gomes S, von Schantz M, Leocadio-Miguel M. Predicting depressive symptoms in middle-aged and elderly adults using sleep data and clinical health markers: a machine learning approach. Sleep Med. 2023;102:123–131. doi:10.1016/j.sleep.2023.01.002
   PubMed Web of Science ®Google Scholar
• Pandi-Perumal SR, Monti JM, Burman D, et al. Clarifying the role of sleep in depression: a narrative review. Psychiatry Res. 2020;291:113239. doi:10.1016/j.psychres.2020.113239
   PubMed Web of Science ®Google Scholar
• Morin CM, Belleville G, Bélanger L, et al. The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34(5):601–608. doi:10.1093/sleep/34.5.601
   PubMed Web of Science ®Google Scholar
• Bolstad CJ, Szkody E, Nadorff MR. Factor analysis and validation of the disturbing dreams and nightmare severity index. Dreaming. 2021;31(4):329. doi:10.1037/drm0000178
   Web of Science ®Google Scholar
• Klingman J, Jungquist KR, Perlis M. Introducing the sleep disorders symptom checklist-25: a primary care friendly and comprehensive screener for sleep disorders. Sleep Med Res. 2017;8(1):17–25. doi:10.17241/smr.2017.00010
   Google Scholar
• Buysse DJ, Reynolds CF, Monk TH, et al. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. doi:10.1016/0165-1781(89)90047-4
   PubMed Web of Science ®Google Scholar
• Beretta L, Santaniello A. Nearest neighbor imputation algorithms: a critical evaluation. BMC Med Inf Decis Making. 2016;16(3):197–208. doi:10.1186/s12911-016-0318-z
   Google Scholar
• Freund Y, Schapire R, Abe N. A short introduction to boosting. J Japan Soc Artif Intel. 1999;14(771–780):1612.
   Google Scholar
• Chen T, Guestrin C. Xgboost: a scalable tree boosting system. Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining; 2016.
   Google Scholar
• Ke G, Meng Q, Finley T, et al. Lightgbm: a highly efficient gradient boosting decision conftree. Adv Neural Inform Process Sys. 2017;3:30.
   Google Scholar
• Kelly A, Johnson MA. Investigating the statistical assumptions of Naïve Bayes classifiers. 2021 55th annual conference on information sciences and systems (CISS); 2021. IEEE; 2021
   Google Scholar
• Yu X, Cui T, Sreekanth J, et al. Deep learning emulators for groundwater contaminant transport modelling. J Hydrol. 2020;590:125351. doi:10.1016/j.jhydrol.2020.125351
   Web of Science ®Google Scholar
• Vancampfort D, Hallgren M, Firth J, et al. Physical activity and suicidal ideation: a systematic review and meta-analysis. J Affective Disorders. 2018;225:438–448. doi:10.1016/j.jad.2017.08.070
   PubMed Web of Science ®Google Scholar
• Parvandeh S, Yeh HW, Paulus MP, et al. Consensus features nested cross-validation. Bioinformatics. 2020;36(10):3093–3098. doi:10.1093/bioinformatics/btaa046
   PubMed Web of Science ®Google Scholar
• Lundberg SM, Lee S-I. A unified approach to interpreting model predictions. Adv Neural Inform Process Sys. 2017;3:30.
   Google Scholar
• Rodríguez-Ruiz JG, Galván-Tejada CE, Zanella-Calzada LA, et al. Comparison of night, day and 24 h motor activity data for the classification of depressive episodes. Diagnostics. 2020;10(3):162. doi:10.3390/diagnostics10030162
   Web of Science ®Google Scholar
• Shi Y, Zhang L, Wang Z, et al. Multivariate machine learning analyses in identification of major depressive disorder using resting-state functional connectivity: a multicentral study. ACS Chem Neurosci. 2021;12(15):2878–2886. doi:10.1021/acschemneuro.1c00256
   PubMed Web of Science ®Google Scholar
• Sajjadian M, Lam RW, Milev R, et al. Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis. Psychol Med. 2021;51(16):2742–2751. doi:10.1017/s0033291721003871
   PubMed Web of Science ®Google Scholar
• Su D, Zhang X, He K, et al. Use of machine learning approach to predict depression in the elderly in China: a longitudinal study. J Affect Disord. 2021;282:289–298. doi:10.1016/j.jad.2020.12.160
   PubMed Web of Science ®Google Scholar
• Zhong M, Zhang H, Yu C, et al. Application of machine learning in predicting the risk of postpartum depression: a systematic review. J Affect Disord. 2022;318:364–379. doi:10.1016/j.jad.2022.08.070
   PubMed Web of Science ®Google Scholar
• Sun X, Liu B, Liu S, et al. Sleep disturbance and psychiatric disorders: a bidirectional Mendelian randomisation study. Epidemiol Psychiatr Sci. 2022;31:e26. doi:10.1017/s2045796021000810
   PubMed Web of Science ®Google Scholar
• Adam EK, Snell EK, Pendry P. Sleep timing and quantity in ecological and family context: a nationally representative time-diary study. J Fam Psychol. 2007;21(1):4–19. doi:10.1037/0893-3200.21.1.4
   PubMed Web of Science ®Google Scholar
• Feinberg I, Higgins LM, Khaw WY, et al. The adolescent decline of NREM delta, an indicator of brain maturation, is linked to age and sex but not to pubertal stage. Am J Physiol Regul Integr Comp Physiol. 2006;291(6):R1724–R1729. doi:10.1152/ajpregu.00293.2006
   PubMed Web of Science ®Google Scholar
• Blake MJ, Trinder JA, Allen NB. Mechanisms underlying the association between insomnia, anxiety, and depression in adolescence: implications for behavioral sleep interventions. Clinic Psychol Rev. 2018;63:25–40. doi:10.1016/j.cpr.2018.05.006
   PubMed Web of Science ®Google Scholar
• Volkow ND, Tomasi D, Wang GJ, et al. Evidence that sleep deprivation downregulates dopamine D2R in ventral striatum in the human brain. J Neurosci. 2012;32(19):6711–6717. doi:10.1523/jneurosci.0045-12.2012
   PubMed Web of Science ®Google Scholar
• Auerbach RP, Admon R, Pizzagalli DA. Adolescent depression: stress and reward dysfunction. Harv Rev Psychiatr. 2014;22(3):139–148. doi:10.1097/hrp.0000000000000034
   PubMed Web of Science ®Google Scholar
• Saunamäki T, Jehkonen M. Depression and anxiety in obstructive sleep apnea syndrome: a review. Acta Neurol Scand. 2007;116(5):277–288. doi:10.1111/j.1600-0404.2007.00901.x
   PubMed Web of Science ®Google Scholar
• Li X, Sanford LD, Zong Q, et al. Prevalence of depression or depressive symptoms in patients with narcolepsy: a systematic review and meta-analysis. Neuropsychol Rev. 2021;31(1):89–102. doi:10.1007/s11065-020-09443-7
   PubMed Web of Science ®Google Scholar
• Vanek J, Prasko J, Genzor S, et al. Obstructive sleep apnea, depression and cognitive impairment. Sleep Med. 2020;72:50–58. doi:10.1016/j.sleep.2020.03.017
   PubMed Web of Science ®Google Scholar
• Medicine AAo S. International classification of sleep disorders—third edition (ICSD-3). AASM Resour Libr. 2014;281:2313.
   Google Scholar
• Chen Y-H, Keller JK, Kang J-H, et al. Obstructive sleep apnea and the subsequent risk of depressive disorder: a population-based follow-up study. J Clin Sleep Med. 2013;9(5):417–423. doi:10.5664/jcsm.2652
   PubMed Web of Science ®Google Scholar
• Kerner NA, Roose SP. Obstructive sleep apnea is linked to depression and cognitive impairment: evidence and potential mechanisms. Am J Geriatr Psychiatry. 2016;24(6):496–508. doi:10.1016/j.jagp.2016.01.134
   PubMed Web of Science ®Google Scholar
• Kim H, Yun C-H, Thomas RJ, et al. Obstructive sleep apnea as a risk factor for cerebral white matter change in a middle-aged and older general population. Sleep. 2013;36(5):709–715. doi:10.5665/sleep.2632
   PubMed Web of Science ®Google Scholar
• Bae JN, MacFall JR, Krishnan KRR, et al. Dorsolateral prefrontal cortex and anterior cingulate cortex white matter alterations in late-life depression. Biol Psychiatry. 2006;60(12):1356–1363. doi:10.1016/j.biopsych.2006.03.052
   PubMed Web of Science ®Google Scholar
• Beebe DW, Gozal D. Obstructive sleep apnea and the prefrontal cortex: towards a comprehensive model linking nocturnal upper airway obstruction to daytime cognitive and behavioral deficits. J Sleep Res. 2002;11(1):1–16. doi:10.1046/j.1365-2869.2002.00289.x
   PubMed Web of Science ®Google Scholar
• Brundin L, Petersén A, Björkqvist M, et al. Orexin and psychiatric symptoms in suicide attempters. J Affect Disord. 2007;100(1–3):259–263. doi:10.1016/j.jad.2006.10.019
   PubMed Web of Science ®Google Scholar
• Sakurai T. The neural circuit of orexin (hypocretin): maintaining sleep and wakefulness. Nat Rev Neurosci. 2007;8(3):171–181. doi:10.1038/nrn2092
   PubMed Web of Science ®Google Scholar
• Paul F, Alpers GW, Reinhard I, et al. Nightmares do result in psychophysiological arousal: a multimeasure ambulatory assessment study. Psychophysiology. 2019;56(7):e13366. doi:10.1111/psyp.13366
   PubMed Web of Science ®Google Scholar
• Sheaves B, Rek S, Freeman D. Nightmares and psychiatric symptoms: a systematic review of longitudinal, experimental, and clinical trial studies. Clinic Psychol Rev. 2023;100:102241. doi:10.1016/j.cpr.2022.102241
   PubMed Web of Science ®Google Scholar
• Wang YQ, Li R, Zhang MQ, et al. The neurobiological mechanisms and treatments of REM sleep disturbances in depression. Curr Neuropharmacol. 2015;13(4):543–553. doi:10.2174/1570159x13666150310002540
   PubMed Web of Science ®Google Scholar