University of California, Davis, Department of Psychiatry and Behavioral Sciences, Sacramento, California (Dr Dewa), University of California, Davis, Department of Public Health Sciences, Sacramento, California (Dr Hoch), Coronel Institute of Occupational Health, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, the Netherlands (Drs Nieuwenhuijsen, Sluiter) and University of Michigan, Ann Arbor, Department of Psychiatry, Ann Arbor, Michigan (Dr Parikh).
J Occup Environ Med. 2019 Jan;61(1):75-80. doi: 10.1097/JOM.0000000000001486.
Heterogeneity of depression experiences has led to suggestions that interventions focus on depression symptom combinations rather than depression severity alone. Our analyses explore the question, "What is the relationship between different combinations of depression symptoms and work productivity losses?"
These analyses use a population-based sample of 2219 working adults. Using the PHQ-8 items, cluster analysis methods were used to identify depression symptom clusters. The Work Limitations Questionnaire's four work productivity loss dimensions were regressed on the identified depression symptoms clusters.
The symptoms clusters of workers with mild to moderate depression had significant but similar work productivity losses. However, the symptom combinations within these clusters of workers varied.
To create effective work accommodations, attention should focus on the combinations of depression symptoms and specific job characteristics rather than severity alone.
抑郁体验的异质性使得人们提出建议，干预措施应侧重于抑郁症状的组合，而不仅仅是严重程度。我们的分析探讨了“不同的抑郁症状组合与工作生产力损失之间存在什么关系？”这一问题。
这些分析使用了一个基于人群的 2219 名在职成年人样本。使用 PHQ-8 项目，采用聚类分析方法识别抑郁症状群。将工作限制问卷的四个工作生产力损失维度回归到确定的抑郁症状群上。
轻度至中度抑郁工人的症状群有显著但相似的工作生产力损失。然而，这些工人的症状组合在这些群内是不同的。
为了制定有效的工作适应措施，应关注抑郁症状的组合和特定的工作特征，而不仅仅是严重程度。
