Evidence map›Paper›PMID 26017387›Full record

ArticlePloS one2015

The Prognostic Value of the Work Ability Index for Sickness Absence among Office Workers.

Kerstin G Reeuwijk, Suzan J W Robroek, Maurice A J Niessen, Roderik A Kraaijenhagen, Yvonne Vergouwe, Alex Burdorf

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

29 citing papers in PubMed.

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  15. Mediating Factors for the Relationship between Stress and Work Ability over Time in Young Adults.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Work Ability and Job Survival: Four-Year Follow-Up.International journal of environmental research and public health · 2019
    Article
  20. Physical workload and obesity have a synergistic effect on work ability among construction workers.International archives of occupational and environmental health · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kerstin G ReeuwijkDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Suzan J W RobroekDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Maurice A J NiessenNIPED Research Foundation, Amsterdam, The Netherlands.
Roderik A KraaijenhagenNIPED Research Foundation, Amsterdam, The Netherlands.
Yvonne VergouweDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Alex BurdorfDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe work ability index (WAI) is a frequently used tool in occupational health to identify workers at risk for a reduced work performance and for work-related disability. However, information about the prognostic value of the WAI to identify workers at risk for sickness absence is scarce.

objectivesTo investigate the prognostic value of the WAI for sickness absence, and whether the discriminative ability differs across demographic subgroups.

methodsAt baseline, the WAI (score 7-49) was assessed among 1,331 office workers from a Dutch financial service company. Sickness absence was registered during 12-months follow-up and categorised as 0 days, 0<days<5, 5≤days<15, and ≥15 days in one year. Associations between WAI and sickness absence were estimated by multinomial regression analyses. Discriminative ability of the WAI was assessed by the Area Under the Curve (AUC) and Ordinal c-index (ORC). Test characteristics were determined for dichotomised outcomes. Additional analyses were performed for separate WAI dimensions, and subgroup analyses for demographic groups.

resultsA lower WAI was associated with sickness absence (≥15 days vs. 0 days: per point lower WAI score OR=1.27; 95%CI 1.21-1.33). The WAI showed reasonable ability to discriminate between categories of sickness absence (ORC=0.65; 95%CI 0.63-0.68). Highest discrimination was found for comparing workers with ≥15 sick days with 0 sick days (AUC=0.77) or with 1-5 sick days (AUC=0.69). At the cut-off for poor work ability (WAI≤27) the sensitivity to identify workers at risk for ≥15 sick days was 7.5%, the specificity 99.6%, and the positive predictive value 82%. The performance was similar across demographic subgroups.

conclusionsThe WAI could be used to identify workers at high risk for prolonged sickness absence. However, due to low sensitivity many workers will be missed. Hence, additional factors are required to better identify workers at highest risk.

Indexed as

Sick LeaveWork Capacity EvaluationAbsenteeismAdultArea Under CurveFemaleHumansLongitudinal StudiesMaleMiddle AgedNetherlandsPrognosisYoung Adult

Identifiers

PMID26017387
PMCPMC4446207

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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.