Development and validation of a risk prediction model for work disability: multicohort study.

Development and validation of a risk prediction model for work disability: multicohort study.
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DOI:
10.1038/s41598-017-13892-1
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发表时间:
2017-10-19
期刊:
影响因子:
4.6
通讯作者:
Kivimäki M
Kivimäki M
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Airaksinen J;Jokela M;Virtanen M;Oksanen T;Pentti J;Vahtera J;Koskenvuo M;Kawachi I;Batty GD;Kivimäki M

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工作残疾影响生活质量、收入和为社会做贡献的机会。工作特点,生活方式和社会人口因素已与工作残疾的风险,但很少有多因素的算法存在,以确定个人在未来的工作残疾的风险。我们开发并验证了一个用于预测工作残疾的简约多因素评分,使用来自65,775名公共部门员工(发展队列)和13,527名来自普通人群样本的就业成年人(验证队列)的个人水平数据,两者都与工作残疾的记录有关。工作能力丧失的预测因素包括社会人口学(3项)、健康状况和生活方式(38项)以及工作相关(43项)变量。一个简约的模型,解释了> 99%的全模型的方差,包括8个预测因素:年龄,自我评价的健康状况,前一年的病假次数,社会经济地位,慢性疾病,睡眠问题,身体质量指数和吸烟。包括这些预测因子的评分的区分能力很高:开发组的C指数为0.84,验证组为0.83。相应的C指数的得分构建的工作相关的预测因素(年龄,性别,社会经济地位,工作压力)分别为0.79和0.78。通过使用快速管理的预测分数,可以可靠地识别出工作残疾高风险的个人。
Work disability affects quality of life, earnings, and opportunities to contribute to society. Work characteristics, lifestyle and sociodemographic factors have been associated with the risk of work disability, but few multifactorial algorithms exist to identify individuals at risk of future work disability. We developed and validated a parsimonious multifactorial score for the prediction of work disability using individual-level data from 65,775 public-sector employees (development cohort) and 13,527 employed adults from a general population sample (validation cohort), both linked to records of work disability. Candidate predictors for work disability included sociodemographic (3 items), health status and lifestyle (38 items), and work-related (43 items) variables. A parsimonious model, explaining > 99% of the variance of the full model, comprised 8 predictors: age, self-rated health, number of sickness absences in previous year, socioeconomic position, chronic illnesses, sleep problems, body mass index, and smoking. Discriminative ability of a score including these predictors was high: C-index 0.84 in the development and 0.83 in the validation cohort. The corresponding C-indices for a score constructed from work-related predictors (age, sex, socioeconomic position, job strain) were 0.79 and 0.78, respectively. It is possible to identify reliably individuals at high risk of work disability by using a rapidly-administered prediction score.
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