Evidence map›Paper›PMID 29051618›Full record

ArticleScientific reports2017

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

Jaakko Airaksinen, Markus Jokela, Marianna Virtanen, Tuula Oksanen, Jaana Pentti, Jussi Vahtera, Markku Koskenvuo, Ichiro Kawachi, G David Batty, Mika Kivimäki

Erratum issuedAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Jaakko AiraksinenFinnish Institute of Occupational Health, Helsinki, Finland. jaakko.airaksinen@ttl.fi.ORCID 0000-0001-7773-7615
Markus JokelaDepartment of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Marianna VirtanenFinnish Institute of Occupational Health, Helsinki, Finland.
Tuula OksanenFinnish Institute of Occupational Health, Helsinki, Finland.
Jaana PenttiDepartment of Public Health, University of Turku, Turku, Finland.
Jussi VahteraDepartment of Public Health, University of Turku, Turku, Finland.ORCID 0000-0002-6036-061X
Markku KoskenvuoClinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Ichiro KawachiHarvard T H Chan School of Public Health, Boston MA, USA.
G David BattyDepartment of Epidemiology and Public Health, University College London, London, UK.
Mika KivimäkiFinnish Institute of Occupational Health, Helsinki, Finland.

Funding

Medical Research Council MR/K013351/1
6 · The paper itself

Abstract

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.

Indexed as

EmploymentModels, TheoreticalPersons with DisabilitiesAdultBody Mass IndexChronic DiseaseCohort StudiesFemaleFinlandHealth StatusHumansLife StyleMaleMiddle Aged

Identifiers

PMID29051618
PMCPMC5648892

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.