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特定诊断的病假作为死亡率的预测指标:白厅II前瞻性队列研究

Diagnosis-specific sickness absence as a predictor of mortality: the Whitehall II prospective cohort study.

作者信息

Head Jenny, Ferrie Jane E, Alexanderson Kristina, Westerlund Hugo, Vahtera Jussi, Kivimäki Mika

机构信息

Department of Epidemiology and Public Health, University College London, London.

出版信息

BMJ. 2008 Oct 2;337:a1469. doi: 10.1136/bmj.a1469.

Abstract

OBJECTIVE

To investigate whether knowing the diagnosis for sickness absence improves prediction of mortality.

DESIGN

Prospective cohort study established in 1985-8. Sickness absence records including diagnoses were obtained from computerised registers.

SETTING

20 civil service departments in London.

PARTICIPANTS

6478 civil servants aged 35-55 years.

MAIN OUTCOME MEASURES

All cause, cardiovascular, and cancer mortality until 2004, average follow-up 13 years.

RESULTS

After adjustment for age, sex, and employment grade, employees who had one or more medically certified spells of sickness absence (>7 days) in a three year period had a mortality 1.7 (95% CI 1.3 to 2.1) times greater than those with no medically certified spells. Inclusion of diagnoses improved the prediction of all cause mortality (P=0.03). The hazard ratio for mortality was 4.7 (2.6 to 8.5) for absences with circulatory disease diagnoses, 2.2 (1.4 to 3.3) for surgical operations, and 1.9 (1.2 to 3.1) for psychiatric diagnoses. Psychiatric absences were also predictive of cancer mortality (2.5 (1.3 to 4.7)). Associations of infectious, respiratory, and injury absences with overall mortality were less marked (hazard ratios from 1.5 to 1.7), and there was no association between musculoskeletal absences and mortality.

CONCLUSIONS

Major diagnoses for medically certified absences were associated with increased mortality, with the exception of musculoskeletal disease. Data on sickness absence diagnoses may provide useful information to identify groups with increased health risk and a need for targeted interventions.

摘要

目的

调查知晓病假诊断是否能改善对死亡率的预测。

设计

1985 - 1988年开展的前瞻性队列研究。从计算机登记系统获取包括诊断信息的病假记录。

地点

伦敦的20个公务员部门。

参与者

6478名年龄在35 - 55岁的公务员。

主要观察指标

截至2004年的全因死亡率、心血管疾病死亡率和癌症死亡率,平均随访13年。

结果

在对年龄、性别和就业级别进行调整后,在三年期间有一次或多次医学证明的病假(>7天)的员工死亡率比没有医学证明病假的员工高1.7倍(95%置信区间1.3至2.1)。纳入诊断信息改善了对全因死亡率的预测(P = 0.03)。患有循环系统疾病诊断的病假死亡率风险比为4.7(2.6至8.5),外科手术为2.2(1.4至3.3),精神疾病诊断为1.9(1.2至3.1)。精神疾病病假也可预测癌症死亡率(2.5(1.3至4.7))。感染性、呼吸道和损伤性病假与总体死亡率的关联不太明显(风险比为1.5至1.7),肌肉骨骼病假与死亡率之间无关联。

结论

医学证明病假的主要诊断与死亡率增加相关,但肌肉骨骼疾病除外。病假诊断数据可为识别健康风险增加且需要针对性干预的群体提供有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f27/4787240/66fd4de16783/heaj551481.f1.jpg

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