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      The association of sleep patterns and depressive symptoms in medical students: a cross-sectional study

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          Abstract

          Objective

          Mental health is a fundamental aspect in ensuring the stable and successful professional life of future physicians. Depressive symptoms can negatively affect the work-life-balance and efficiency at work of medical students.

          To date, there have been very few studies involving medical students that examine the association between single sleep characteristics and the outcome of the Beck Depression Inventory-II score. Therefore, the aim of the present study is to investigate this possible association. A classroom survey using socio-demographic characteristics, the Beck Depression Inventory-II, and the Pittsburgh Sleep Quality Index was conducted amongst students at a German medical school from December 2017 to September 2018. Data analysis was performed with descriptive statistics and binary logistic regression.

          Results

          Of the students surveyed, 19% showed depressive symptoms with a Beck Depression Inventory-II score over 13 and 42% of these cases were moderate or severe. The occurrence of relevant depressive symptoms was associated with lower sleep quality, higher sleep latency, and the consumption of sleeping pills. In general, female students and students from abroad had a higher risk of depressive symptoms. Addressing these relevant findings in medical school can increase awareness of mental health.

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          Most cited references27

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          The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

          Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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            Comparison of Beck Depression Inventories -IA and -II in psychiatric outpatients.

            The amended (revised) Beck Depression Inventory (BDI-IA; Beck & Steer, 1993b) and the Beck Depression Inventory-II (BDI-II; Beck, Steer, & Brown, 1996) were self-administered to 140 psychiatric outpatients with various psychiatric disorders. The coefficient alphas of the BDI-IA and the BDI-II were, respectively, .89 and .91. The mean rating for Sadness on the BDI-IA was higher than it was on the BDI-II, but the mean ratings for Past Failure, Self-Dislike, Change in Sleeping Pattern, and Change in Appetite were higher on the BDI-II than they were on the BDI-IA. The mean BDI-II total score was approximately 2 points higher than it was for the BDI-IA, and the outpatients also endorsed approximately one more symptom on the BDI-II than they did on the BDI-IA. The correlations of BDI-IA and BDI-II total scores with sex, ethnicity, age, the diagnosis of a mood disorder, and the Beck Anxiety Inventory (Beck & Steer, 1993a) were within 1 point of each other for the same variables.
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              Prevalence of Depression, Depressive Symptoms, and Suicidal Ideation Among Medical Students: A Systematic Review and Meta-Analysis.

              Medical students are at high risk for depression and suicidal ideation. However, the prevalence estimates of these disorders vary between studies.
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                Author and article information

                Contributors
                stephan.fuchs@medizin.uni-halle.de
                Journal
                BMC Res Notes
                BMC Res Notes
                BMC Research Notes
                BioMed Central (London )
                1756-0500
                22 March 2022
                22 March 2022
                2022
                : 15
                : 109
                Affiliations
                [1 ]GRID grid.9018.0, ISNI 0000 0001 0679 2801, Institute of General Practice & Family Medicine, Faculty of Medicine, , Martin Luther University of Halle-Wittenberg, ; Magdeburger Straße 8, 06112 Halle (Saale), Germany
                [2 ]GRID grid.461820.9, ISNI 0000 0004 0390 1701, Clinic for Psychiatry, Psychotherapy and Psychosomatics, , University Hospital Halle (Saale), ; Julius-Kühn-Straße 7, 06112 Halle (Saale), Germany
                [3 ]GRID grid.9647.c, ISNI 0000 0004 7669 9786, Department of General Practice, , Medical Faculty of the University of Leipzig, ; Philipp-Rosenthal-Straße 55, 04103 Leipzig, Germany
                Article
                5975
                10.1186/s13104-022-05975-8
                8939186
                34983646
                8ef6d7dc-36af-4015-9387-31b30e9242f4
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 11 December 2021
                : 14 February 2022
                Categories
                Research Note
                Custom metadata
                © The Author(s) 2022

                Medicine
                medical student,sleep,depressive symptoms,mental health
                Medicine
                medical student, sleep, depressive symptoms, mental health

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