ArticleBMC research notes2022
The association of sleep patterns and depressive symptoms in medical students: a cross-sectional study.
Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 24 citations in OpenAlex.
- Association of severe depression with bone mineral content: a mediation analysis in PERSIAN cohort study.BMC public health · 2026Article
- The impact of sleep quality on body weight among young adults: a cross-sectional study.BMC research notes · 2025Article
- Sleep Quality and Sex-Specific Physical Activity Benefits Predict Mental Health in Romanian Medical Students: A Cross-Sectional Analysis.Journal of clinical medicine · 2025Article
- Depression mediates the association of healthy sleep patterns with suicidal ideation among U.S. adults.Frontiers in psychiatry · 2025Article
- The Worldwide Prevalence of Sleep Problems Among Medical Students by Problem, Country, and COVID-19 Status: a Systematic Review, Meta-analysis, and Meta-regression of 109 Studies Involving 59427 Participants.Current sleep medicine reports · 2023Review
- Association of depression symptoms and sleep quality with state-trait anxiety in medical university students in Anhui Province, China: a mediation analysis.BMC medical education · 2022Article
- Health-Promoting Behavior and Lifestyle Characteristics of Students as a Function of Sex and Academic Level.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveMental 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.
resultsOf 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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