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
影响因子:
4.6
通讯作者:
Kivimäki M
中科院分区:
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
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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DOI:
10.1186/s12966-016-0426-2
发表时间:
2016-09-06
期刊:
The international journal of behavioral nutrition and physical activity
影响因子:
--
作者:
Lahti J;Holstila A;Mänty M;Lahelma E;Rahkonen O
通讯作者:
Rahkonen O
影响因子:
4.5
作者:
Lahelma E;Laaksonen M;Lallukka T;Martikainen P;Pietiläinen O;Saastamoinen P;Gould R;Rahkonen O
通讯作者:
Rahkonen O
影响因子:
13.6
作者:
Korkeila, K;Suominen, S;Koskenvuo, M
通讯作者:
Koskenvuo, M
DOI:
10.1016/s0140-6736(16)31460-x
发表时间:
2016-10-08
期刊:
Lancet (London, England)
影响因子:
--
作者:
GBD 2015 DALYs and HALE Collaborators
通讯作者:
GBD 2015 DALYs and HALE Collaborators
影响因子:
4.2
作者:
Korhonen, Tellervo;Smeds, Eero;Kaprio, Jaakko
通讯作者:
Kaprio, Jaakko