Evidence map›Paper›PMID 33433695›Full record

ArticleInternational archives of occupational and environmental health2021

Predictors of working days lost due to sickness absence and disability pension.

Rahman Shiri, Aapo Hiilamo, Ossi Rahkonen, Suzan J W Robroek, Olli Pietiläinen, Tea Lallukka

Abstract read
In one paragraph

Article in International archives of occupational and environmental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  9. How Much Do We Care about Teacher Burnout during the Pandemic: A Bibliometric Review.International journal of environmental research and public health · 2022
    Review
  10. Article
  11. 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.

Rahman ShiriFinnish Institute of Occupational Health, Työterveyslaitos, P.O. Box 18, 00032, Helsinki, Finland. rahman.shiri@ttl.fi.
Aapo HiilamoFinnish Institute of Occupational Health, Työterveyslaitos, P.O. Box 18, 00032, Helsinki, Finland.
Ossi RahkonenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Suzan J W RobroekDepartment of Public Health, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands.
Olli PietiläinenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Tea LallukkaFinnish Institute of Occupational Health, Työterveyslaitos, P.O. Box 18, 00032, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify social and health-related predictors of the number of days lost due to sickness absence (SA) and disability pension (DP) among initially 55-year-old public-sector workers.

methodsThe data from the Finnish Helsinki Health Study included participants aged 55 years at the baseline (in 2000-2002, N = 1630, 81% women), and were enriched with register-based information on SA and DP. The cumulative number of calendar days lost due to SA ≥ 1 day or DP between ages 55 and 65 was calculated. Negative binomial regression model was used to identify the predictors of days lost.

resultsThe average calendar days lost was 316 days (about 220 working days) during a 10-year follow-up, and 44% were due to SA and 56% due to DP. Smoking [incidence rate ratio (IRR) = 1.19, 95% CI 1.01-1.40 for past and IRR = 1.30, CI 1.07-1.58 for current], binge drinking (IRR = 1.22, CI 1.02-1.46), lifting or pulling/pushing heavy loads (IRR = 1.35, CI 1.10-1.65), awkward working positions (IRR = 1.24, CI 1.01-1.53), long-standing illness limiting work or daily activities (IRR = 2.32, CI 1.93-2.79), common mental disorder (IRR = 1.52, CI 1.30-1.79), and multisite pain (IRR = 1.50, CI 1.23-1.84) increased the number of days lost, while high level of education (IRR = 0.66, CI 0.52-0.82) and moderate level of leisure-time physical activity (IRR = 0.80, CI 0.67-0.94) reduced the number of days lost.

conclusionsModifiable lifestyle risk factors, workload factors, common mental disorder, and multisite pain substantially increase the number of days lost. However, the findings of this study could be generalized to female workers in the public sector. Future research should also consider shorter SA spells in estimating working years lost and working life expectancy.

Indexed as

AbsenteeismAdultBinge DrinkingEducational StatusExerciseFemaleFinlandHumansInsurance, DisabilityLeisure ActivitiesLife StyleMaleMental DisordersMiddle AgedPainPersons with DisabilitiesChronic diseaseHealthy lifestyleLife expectancyOccupationsSick leaveWork engagementWorkload

Identifiers

PMID33433695
PMCPMC8238732

What OpenQuestion holds

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LicenceCC BY
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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.