The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Sleep Disturbance and Short Sleep as Risk Factors for Depression and Perceived Medical Errors in First-Year Residents
Open accessAbstract
Study Objectives: While short and poor quality sleep among training physicians has long been recognized as problematic, the longitudinal relationships among sleep, work hours, mood, and work performance are not well understood. Here, we prospectively characterize the risk of depression and medical errors based on preinternship sleep disturbance, internship-related sleep duration, and duty hours. Methods: Survey data from 1215 nondepressed interns were collected at preinternship baseline, then 3 and 6 months into internship. We examined how preinternship sleep quality and internship sleep and work hours affected risk of depression at 3 months, per the Patient Health Questionnaire 9. We then examined the impact of sleep loss and work hours on depression persistence from 3 to 6 months. Finally, we compared self-reported errors among interns based on nightly sleep duration (≤6 hr vs. >6 hr), weekly work hours (<70 hr vs. ≥70 hr), and depression (non- vs. acutely vs. chronically depressed). Results: Poorly sleeping trainees obtained less sleep and were at elevated risk of depression in the first months of internship. Short sleep (≤6 hr nightly) during internship mediated the relationship between sleep disturbance and depression risk, and sleep loss led to a chronic course for depression. Depression rates were highest among interns with both sleep disturbance and short sleep. Elevated medical error rates were reported by physicians sleeping ≤6 hr per night, working ≥ 70 weekly hours, and who were acutely or chronically depressed. Conclusions: Sleep disturbance and internship-enforced short sleep increase risk of depression development and chronicity and medical errors. Interventions targeting sleep problems prior to and during residency hold promise for curbing depression rates and improving patient care.
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Cites
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234
Spitzer, R. L. (1999) · JAMA · doi:10.1001/jama.282.18.1737 · Cited by 9,802
Baglioni, C., Battagliese, G., Feige, B., Spiegelhalder, K., Nissen, C., Voderholzer, U., Lombardo, C., & Riemann, D. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.01.011 · Cited by 2,779
Qaseem, A., Kansagara, D., Forciea, M. A., Cooke, M., Denberg, T. D., & for the Clinical Guidelines Committee of the American College of Physicians* (2016) · Annals of Internal Medicine · doi:10.7326/m15-2175 · Cited by 1,965
Self-Reported and Measured Sleep Duration: How Similar Are They?
Lauderdale, D. S., Knutson, K. L., Yan, L. L., Liu, K., & Rathouz, P. J. (2008) · Epidemiology · doi:10.1097/ede.0b013e318187a7b0 · Cited by 1,565
West, C. P., Huschka, M. M., Novotny, P. J., Sloan, J. A., Kolars, J. C., Habermann, T. M., & Shanafelt, T. D. (2006) · JAMA · doi:10.1001/jama.296.9.1071 · Cited by 1,454
Rates of medication errors among depressed and burnt out residents: prospective cohort study
Fahrenkopf, A. M., Sectish, T. C., Barger, L. K., Sharek, P. J., Lewin, D., Chiang, V. W., Edwards, S., Wiedermann, B. L., & Landrigan, C. P. (2008) · BMJ · doi:10.1136/bmj.39469.763218.be · Cited by 1,175
Tsuno, N., Besset, A., & Ritchie, K. (2005) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v66n1008 · Cited by 1,084
A General Model for Testing Mediation and Moderation Effects
Fairchild, A. J., & MacKinnon, D. P. (2009) · Prevention Science · doi:10.1007/s11121-008-0109-6 · Cited by 918
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The Global Problem of Insufficient Sleep and Its Serious Public Health Implications
Chattu, V. K., Manzar, M. D., Kumary, S., Burman, D., Spence, D. W., & Pandi-Perumal, S. R. (2018) · Healthcare · doi:10.3390/healthcare7010001 · Cited by 1,028
Kalmbach, D. A., Anderson, J. R., & Drake, C. L. (2018) · Journal of Sleep Research · doi:10.1111/jsr.12710 · Cited by 620
Self-citationPsychological health, sleep quality, and coping styles to stress facing the COVID-19 in Wuhan, China
Fu, W., Wang, C., Zou, L., Guo, Y., Lu, Z., Yan, S., & Mao, J. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00913-3 · Cited by 389
Prevalence of sleep disturbances in Chinese university students: a comprehensive meta-analysis
Li, L., Wang, Y., Wang, S., Zhang, L., Li, L., Xu, D., Ng, C. H., Ungvari, G. S., Cui, X., Liu, Z., et al. (2018) · Journal of Sleep Research · doi:10.1111/jsr.12648 · Cited by 209
Ma, W., Song, J., Wang, H., Shi, F., Zhou, N., Jiang, J., Xu, Y., Zhang, L., Yang, L., & Zhou, M. (2019) · Life Sciences · doi:10.1016/j.lfs.2019.04.006 · Cited by 134
Metadata
- Authors
- Kalmbach, D. A., Arnedt, J. T., Song, P. X., Guille, C., & Sen, S.
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-03-01
- Volume
- 40
- Issue
- 3
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W2603485648
- Cited by
- 202
- References
- 21
- FWCI
- 21.50
- Type
- journal article
- Language
- en
- Open access
- bronze
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