Incidence rate and clinical characteristics of seasonal affective disorders in senior medical students
https://doi.org/10.20538/1682-0363-2021-3-112-119
Abstract
Aim. To study the incidence rate, clinical features, and prognosis of seasonal affective disorder (SAD) in senior (6th-year) medical students.
Materials and methods. SAD screening using the Seasonal Pattern Assessment Questionnaire (SPAQ, 1987) included 119 undergraduate medical students. 78 students were females (65.5%) and 41 – males (34.5%) (p = 0.001). The average age of women was 23 (22; 23) years, the average age of men – 23 (22; 24) years. Statistical processing was performed using the Mann – Whitney U-test, Pearson’s χ2 test, and Spearman’s rank correlation coefficient (rs).
Results. The data on the prevalence of affective disorders with a seasonal pattern in medical students were obtained: SAD – 9.2%, sub-SAD – 13.5%, psychological undulation of season perception (PUSP) – 16.8%. The number of students who did not exhibit seasonal undulation of the six main characteristics recorded by the SPAQ was 72 (60.5%) (p = 0.001). There were statistically significant differences in the higher median Global Seasonality Score of the SPAQ for SAD compared with PUSP, both with and without account of the gender factor (p = 0.001). The use of a binary logistic regression model made it possible to identify groups of students with or without SAD according to the SPAQ. The data obtained determined the contribution of the following factors: gender, seasonality, body weight, and the number of sleep hours per day in spring.
Conclusion. The study made it possible to obtain a logistic regression model that allowed to predict the greatest likelihood of developing SAD.
Keywords
About the Authors
I. I. UkraintsevRussian Federation
2, Moscow Trakt, Tomsk, 634055, Russian Federation
E. D. Schastnyy
Russian Federation
4, Aleutskaya Str., Tomsk, 634014, Russian Federation
N. A. Bokhan
Russian Federation
2, Moscow Trakt, Tomsk, 634055, Russian Federation
4, Aleutskaya Str., Tomsk, 634014, Russian Federation
References
1. Riccobono G., Iannitelli A., Pompili A., Iorio C., Stratta P., Rossi R., Bersani G., Pacitti F. Night Eating Syndrome, circadian rhythms and seasonality: a study in a population of Italian university students. Rivista di Psichiatria. 2020; 55 (1): 47–52. DOI: 10.1708/3301.32719.
2. Melo M.C., Garcia R.F., Araújo C.F., Luz J.H., Bruin P.F., Bruin V.M. Chronotype in bipolar disorder: an 18-month prospective study. Brazilian Journal of Psychiatry. 2020; 42 (1): 68–71. DOI: 10.1590/1516-4446-2019-0489.
3. Antypa N., Vogelzangs N., Meesters Y., Schoevers R., Penninx B.W. Chronotype associations with depression and anxiety disorders in a large cohort study. Depression and Anxiety. 2016; 33 (1): 75–83. DOI: 10.1002/da.22422.
4. Takaesu Y. Circadian rhythm in bipolar disorder: A review of the literature. Psychiatry and Clinical Neurosciences. 2018;72 (9): 673–682. DOI: 10.1111/pcn.12688.
5. Жедик А.В., Короткая В.А. Распространенность сезонного аффективного расстройства среди студентов БГМУ [Электронный ресурс]. Актуальные проблемы современной медицины и фармации 2018 : сб. материалов докл. LXXII Междунар. науч.-практ. конф. студентов и молодых ученых, Минск, 18–20 апр. 2018 г.; под ред. А.В. Сикорского, О.К. Дорониной. Минск: БГМУ, 2018: 1504–1507.
6. Короткая В.А. Распространенность сезонного аффективного расстройства среди студентов БГМУ [Электронный ресурс]. Актуальные проблемы современной медицины и фармации 2018: сб. тез. докл. LXXII Междунар. науч.-практ конф. студентов и молодых ученых, Минск, 18-20 апр. 2018 г.; под ред. А.В. Сикорского, О.К. Дорониной. Минск : БГМУ, 2018: 1148.
7. Украинцев И.И., Счастный Е.Д., Бохан Н.А. Частота встречаемости тревожных и личностных нарушений и их взаимосвязь у студентов медицинского университета шестого года обучения. Бюллетень сибирской медицины. 2019; 18 (4): 143–149. DOI: 10.20538/1682-0363-2019-4-143–149.
8. Rosenthal N.E., Bradt G.H., Wehr T.A. Seasonal Pattern Assessment Questionnaire (SPAQ). National Institute of Mental Health, Bethesda, USA, 1984.
9. Путилов А.А. Хронофизиологические механизмы, опосредующие действие яркого света на активность и настроение человека: дис. ... д-ра биол. наук. Томск, 1999: 383.
10. Lukmanji A., Williams J.V.A., Bulloch A.G.M., Patten S.B. Seasonal variation in specific depressive symptoms: A population based study. Journal of Аffective Disorders. 2020; 261: 153–159. DOI:10.1016/j.jad.2019.10.003.
11. Wescott D.L., Soehner A.M., Roecklein K.A. Sleep in seasonal affective disorder. Current Оpinion in Рsychology. 2019; 34: 7–11. DOI: 10.1016/j.copsyc.2019.08.023.
12. Magnusson A. An overview of epidemiological studies on seasonal affective disorder. Acta Psychiatr. Scand. 2000; 101 (3): 176–184.
13. Harvey A.G., Kaplan K.A., Soehner A: Interventions for sleep disturbance in bipolar disorder. Sleep Med. Clin. 2015; 10 (1): 101–105. DOI: 10.1016/j.jsmc.2014.11.005.
14. Wescott D.L., Soehner A.M., Roecklein K.A. Sleep in seasonal affective disorder. Curr. Opin. Psychol. 2020; 34: 7–11. DOI: 10.1016/j.copsyc.2019.08.023.
15. Low K.G., Feissner J.M. Seasonal affective disorder in college students: prevalence and latitude. J. Am. Coll. Health. 1998; 47 (3): 135–137. DOI: 10.1080/07448489809595634.
16. Swedo S.E., Pleeter J.D., Richter D.M., Hoffman C.L., Allen A.J., Hamburger S.D., Turner E.H., Yamada E.M., Rosenthal N.E. Rates of seasonal affective disorder in children and adolescents. Am. J. Psychiatry. 1995; 152 (7): 1016–1019. DOI: 10.1176/ajp.152.7.1016.
17. Корнетов А.Н. Онтогенетические аспекты депрессивных расстройств. Журнал неврологии и психиатрии им. C.C. Корсакова. 2003; 103 (8): 80–81.
18. Majrashi N.A., Ahearn T.S., Waiter G.D. Brainstem volume mediates seasonal variation in depressive symptoms: A cross sectional study in the UK Biobank cohort. Sci. Rep. 2020; 10 (1): 3592. DOI: 10.1038/s41598-020-60620-3.
19. Yankovskaya A.E., Kornetov A.N., Il’inskikh N.N., Obukhovskaya V.B. An expansion of intelligent systems complex for express-diagnostics and prevention of organizational stress, depression, and deviant behavior on the basis of the biopsychosocial approach. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2017; 27 (4): 783–788. DOI: 10.1134/S1054661817040204.
20. Pjrek E., Friedrich M.E., Cambioli L., Dold M., Jäger F., Komorowski A., Lanzenberger R., Kasper S., Winkler D. The Efficacy of Light Therapy in the Treatment of Seasonal Affective Disorder: A Meta-Analysis of Randomized Controlled Trials. Psychotherapy and Psychosomatics. 2020; 89 (1): 17–24. DOI: 10.1159/000502891.
21. Lam R.W., Teng M.Y., Jung Y.E., Evans V.C., Gottlieb J.F., Chakrabarty T., Michalak E.E., Murphy J.K., Yatham L.N, Sit D.K. Light Therapy for Patients With Bipolar Depression: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Canadian Journal of Psychiatry. 2020; 65 (5): 290–300. DOI: 10.1177/0706743719892471.
22. May I.C. Light therapy for preventing seasonal affective disorder: Summary of a Cochrane Review. Explore: The Journal of Science and Healing. 2020; 16 (2): 133–134. DOI: 10.1016/j.explore.2019.12.004.
23. Симуткин Г.Г., Попова Н.М. Сезонное аффективное расстройство у школьников. Сибирский вестник психиатрии и наркологии. 2005; 2 (36): 65–68.
24. Симуткин Г.Г. Клинико-конституциональные и хронобиологические закономерности при сезонных аффективных расстройствах: автореф. дис. ... д-ра мед. наук. Томск, 2002: 50.
Review
For citations:
Ukraintsev I.I., Schastnyy E.D., Bokhan N.A. Incidence rate and clinical characteristics of seasonal affective disorders in senior medical students. Bulletin of Siberian Medicine. 2021;20(3):112-119. https://doi.org/10.20538/1682-0363-2021-3-112-119