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瑞典长期病假的男性和女性人群中领取残疾抚恤金的风险因素。

Risk factors for disability pension in a population-based cohort of men and women on long-term sick leave in Sweden.

作者信息

Karlsson Nadine E, Carstensen John M, Gjesdal Sturla, Alexanderson Kristina A E

机构信息

Department of Medicine and Health Sciences, Linköping University, Linköping, Sweden.

出版信息

Eur J Public Health. 2008 Jun;18(3):224-31. doi: 10.1093/eurpub/ckm128. Epub 2008 Feb 1.

Abstract

BACKGROUND

Knowledge on predictors of disability pension is very limited. The aim was to assess the importance of sick-leave diagnosis and socio-demographic variables as risk factors for disability pension among individuals on long-term sickness absence and to compare these factors by gender and over time.

METHODS

A prospective population-based cohort study in Ostergötland County, Sweden, included 19,379 individuals who, in 1985-87, were aged 16-60 years and had a new spell of long-term sickness absence lasting > or =56 days. Follow-up was done in two time frames: 0-5 and 6-10 years after inclusion. The risk of disability pension in relation to sick-leave diagnosis and socio-demographic factors was assessed by Cox proportional hazard regression analysis.

RESULTS

In 5 years, after inclusion, 28% of the cohort had been granted disability pension. Those with higher age, low income, previous sick leave, no employment and non-Swedish origin had higher risk of disability pension, while those with young children had lower risk. Considering the inclusion diagnosis, the pattern differed between men and women (P < 0.001). Among men, those with mental disorders had the highest risk and among women those with musculoskeletal disorders. Except for income, the effect of which was reversed over time, the overall pattern of disability pension predictors remained 6-10 years after inclusion but was attenuated.

CONCLUSION

Besides socio-demographic risk factors, the sick-leave diagnoses constitute an important both medium and long-term predictor of disability pension among both men and women on long-term sickness absence.

摘要

背景

关于残疾抚恤金预测因素的知识非常有限。目的是评估病假诊断和社会人口统计学变量作为长期病假个体获得残疾抚恤金风险因素的重要性,并按性别和随时间比较这些因素。

方法

在瑞典东约特兰省进行的一项基于人群的前瞻性队列研究,纳入了19379名在1985 - 1987年年龄为16 - 60岁且有新的持续≥56天长期病假的个体。随访在两个时间段进行:纳入后的0 - 5年和6 - 10年。通过Cox比例风险回归分析评估与病假诊断和社会人口统计学因素相关的残疾抚恤金风险。

结果

纳入后5年,队列中有28%的人获得了残疾抚恤金。年龄较大、收入低、以前有过病假、无工作和非瑞典裔的人获得残疾抚恤金的风险较高,而有年幼子女的人风险较低。考虑纳入诊断,男性和女性的模式不同(P < 0.001)。在男性中,患有精神障碍的人风险最高,在女性中,患有肌肉骨骼疾病的人风险最高。除了收入,其影响随时间逆转外,残疾抚恤金预测因素的总体模式在纳入后6 - 10年仍然存在,但有所减弱。

结论

除了社会人口统计学风险因素外,病假诊断是长期病假的男性和女性获得残疾抚恤金的重要中长期预测因素。

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