Suppr超能文献

通过短信单项压力问题评估工作相关压力。

Work-related stress assessed by a text message single-item stress question.

机构信息

Unit of Intervention and Implementation Research for Worker Health, Institute of Environmental Medicine, Karolinska Institute, Sweden.

Occupational and Environmental Medicine Center, and Department of Clinical and Experimental Medicine, Linköping University, Sweden.

出版信息

Occup Med (Lond). 2017 Dec 2;67(8):601-608. doi: 10.1093/occmed/kqx111.

Abstract

BACKGROUND

Given the prevalence of work stress-related ill-health in the Western world, it is important to find cost-effective, easy-to-use and valid measures which can be used both in research and in practice.

AIMS

To examine the validity and reliability of the single-item stress question (SISQ), distributed weekly by short message service (SMS) and used for measurement of work-related stress.

METHODS

The convergent validity was assessed through associations between the SISQ and subscales of the Job Demand-Control-Support model, the Effort-Reward Imbalance model and scales measuring depression, exhaustion and sleep. The predictive validity was assessed using SISQ data collected through SMS. The reliability was analysed by the test-retest procedure.

RESULTS

Correlations between the SISQ and all the subscales except for job strain and esteem reward were significant, ranging from -0.186 to 0.627. The SISQ could also predict sick leave, depression and exhaustion at 12-month follow-up. The analysis on reliability revealed a satisfactory stability with a weighted kappa between 0.804 and 0.868.

CONCLUSIONS

The SISQ, administered through SMS, can be used for the screening of stress levels in a working population.

摘要

背景

鉴于工作压力相关疾病在西方世界的普遍存在,找到既经济实惠又易于使用且有效的测量方法非常重要,这些方法既可以用于研究,也可以用于实践。

目的

检验通过短信服务(SMS)每周发送一次的单项压力问题(SISQ)在测量工作相关压力方面的有效性和可靠性。

方法

通过 SISQ 与工作需求-控制-支持模型、努力-回报失衡模型以及衡量抑郁、疲惫和睡眠的量表的子量表之间的关联来评估其聚合效度。使用通过 SMS 收集的 SISQ 数据评估预测效度。通过测试-重测程序进行可靠性分析。

结果

SISQ 与除工作压力和自尊回报之外的所有子量表之间的相关性均具有统计学意义,范围从-0.186 到 0.627。SISQ 还可以预测 12 个月随访时的病假、抑郁和疲惫。可靠性分析显示,具有满意的稳定性,加权 Kappa 值在 0.804 到 0.868 之间。

结论

通过 SMS 发送的 SISQ 可用于筛查工作人群的压力水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3680/5927000/42600aabda0d/kqx11101.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验