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The Effectiveness of a Stress Reduction and Burnout Prevention Program.一项减压与职业倦怠预防计划的有效性
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2
Teachers' Health.教师健康。
Dtsch Arztebl Int. 2015 May 15;112(20):347-56. doi: 10.3238/arztebl.2015.0347.
3
Burnout-depression overlap: a review. burnout-抑郁重叠:综述。
Clin Psychol Rev. 2015 Mar;36:28-41. doi: 10.1016/j.cpr.2015.01.004. Epub 2015 Jan 17.
4
Heavy overtime work and depressive disorder among male workers.男性工人的过度加班与抑郁障碍。
Occup Med (Lond). 2014 Dec;64(8):622-8. doi: 10.1093/occmed/kqu120. Epub 2014 Sep 25.
5
The effect of mental comorbidity on service delivery planning in primary care: an analysis with particular reference to patients who request referral without prior assessment.精神共病对初级保健服务提供规划的影响:特别参考未经评估即要求转诊的患者的分析。
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Is burnout associated with referral rates among primary care physicians in community clinics?社区诊所的基层保健医生中,倦怠是否与转诊率相关?
Fam Pract. 2014 Feb;31(1):44-50. doi: 10.1093/fampra/cmt060. Epub 2013 Oct 22.
7
[Understanding the term burnout in psychiatry and psychotherapy].[理解精神病学和心理治疗中的倦怠一词]
Nervenarzt. 2013 Jul;84(7):838-43. doi: 10.1007/s00115-013-3804-x.
8
Depersonalised doctors: a cross-sectional study of 564 doctors, 760 consultations and 1876 patient reports in UK general practice.缺乏人情味的医生:一项针对英国全科医疗中564名医生、760次诊疗和1876份患者报告的横断面研究。
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Overtime work as a predictor of major depressive episode: a 5-year follow-up of the Whitehall II study.超时工作预测重度抑郁发作:Whitehall II 研究的 5 年随访。
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Burnout: a fashionable diagnosis. burnout:一个时髦的诊断。
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心理症状对病假长度的影响。

The Implications of Psychological Symptoms for Length of Sick Leave.

机构信息

Institute of General Practice, Klinikum rechts der Isar der Technischen Universität München; Institute of Psychological Methods and Diagnostics, Department of Psychology, Ludwig-Maximilians-Universität München; Faculty for Psychology, Pedagogy and Sport Science, University of Regensburg; Clinic and Polyclinic for Psychiatry and Psychotherapy, Technische Universität München; Institute of Psychology, University of Innsbruck, Austria; Department of Psychosomatic Medicine and Psychotherapy, Center for Internal Medicine, Universitätsklinikum Hamburg Eppendorf.

出版信息

Dtsch Arztebl Int. 2017 Apr 28;114(17):291-297. doi: 10.3238/arztebl.2017.0291.

DOI:10.3238/arztebl.2017.0291
PMID:28530171
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5443977/
Abstract

BACKGROUND

In this cross-sectional study, we aimed to determine the relation between sick leave duration, burnout symptoms, depression, anxiety, and somatization in a primary care setting.

METHODS

Patients receiving a sickness certificate in one of 14 participating primary care practices were consecutively asked by their primary care physician to fill in a questionnaire comprising the Maslach Burnout Inventory-General Survey (MBI-GS) and the Patient Health Questionnaire (PHQ) containing the depression (PHQ-9), somatization (PHQ-15), and anxiety (GAD-7) scales. The main diagnosis on the sickness certificate was documented by the issuing physician. A quasi-Poisson regression analysis was performed to estimate the influence of burnout symptoms, depression, and anxiety on length of sick leave.

RESULTS

225 patients participated, 122 (54.2%) were female; the mean age was 39.5 years. Length of sick leave correlated with emotional exhaustion (p = 0.005), depersonalization (p = 0.013), depression (p = 0.006), anxiety (p = 0.023), and somatization (p = 0.001). However, regression analysis revealed that the only predictors for length of sick leave were anxiety (exp[0.081] = 1.084; p = 0.013), age (exp[0.017] = 1.017; p = 0.041) and education (exp[- 0.508] = 0.602; p = 0:029). The pseudo R2 of the model was 0.25.

CONCLUSION

The impact of anxiety on burnout symptoms and sick leave days might have been underestimated so far. A holistic approach in patient centered communication should comprise the evaluation of psychosomatic comorbidity under consideration of the established concepts of depression and anxiety disorder to ensure adequate diagnostic and therapeutic management.

摘要

背景

在这项横断面研究中,我们旨在确定初级保健环境中病假持续时间、倦怠症状、抑郁、焦虑和躯体化之间的关系。

方法

在参与的 14 家初级保健实践中,由初级保健医生连续向接受病假证明的患者询问一份问卷,该问卷包括 Maslach 倦怠量表-一般调查(MBI-GS)和包含抑郁(PHQ-9)、躯体化(PHQ-15)和焦虑(GAD-7)的患者健康问卷。签发医生记录病假证明上的主要诊断。进行拟泊松回归分析以估计倦怠症状、抑郁和焦虑对病假长度的影响。

结果

225 名患者参与,122 名(54.2%)为女性;平均年龄为 39.5 岁。病假长度与情绪疲惫(p = 0.005)、去人格化(p = 0.013)、抑郁(p = 0.006)、焦虑(p = 0.023)和躯体化(p = 0.001)相关。然而,回归分析显示,病假长度的唯一预测因素是焦虑(exp[0.081] = 1.084;p = 0.013)、年龄(exp[0.017] = 1.017;p = 0.041)和教育(exp[-0.508] = 0.602;p = 0.029)。该模型的伪 R2 为 0.25。

结论

迄今为止,焦虑对倦怠症状和病假天数的影响可能被低估了。以患者为中心的沟通中的整体方法应包括评估身心共病,同时考虑到抑郁和焦虑障碍的既定概念,以确保进行充分的诊断和治疗管理。