Evidence map›Paper›PMID 30928960›Full record

ArticleBMJ open2019

Within-individual analysis of pain and sickness absence among employees from low and high occupational classes: a record linkage study.

Aapo Hiilamo, Peter Butterworth, Rahman Shiri, Annina Ropponen, Olli Pietiläinen, Minna Mänty, Anne Kouvonen, Eero Lahelma, Ossi Rahkonen, Tea Lallukka

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

10 authors.

Aapo HiilamoFinnish Institute of Occupational Health, Helsinki, Finland.
Peter ButterworthCentre for Mental Health, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia.
Rahman ShiriFinnish Institute of Occupational Health, Helsinki, Finland.
Annina RopponenFinnish Institute of Occupational Health, Helsinki, Finland.
Olli PietiläinenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Minna MäntyDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Anne KouvonenFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Eero LahelmaDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Ossi RahkonenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Tea LallukkaFinnish Institute of Occupational Health, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPain is linked to an increased risk of sickness absence (SA); however, the extent to which unmeasured time-invariant differences explain this association is yet unknown. Therefore, we determined the within-individual associations between pain and short-term (in the survey year) and long-term (2 years following the survey years) SA risk in high and low occupational classes while controlling for the potential bias due to unobservable time-invariant characteristics.

methodsThe Helsinki Health Study data consisting of midlife public sector employees with mailed surveys from up to four time points, and SA record linkage were used (3983 persons). The within-individual estimates were calculated using hybrid negative binomial regression models.

resultsAcute/subacute pain was associated with a 13% increase in the rate of short-term SA days (incidence rate ratio 1.13 [95% CI 1.01 to 1.27]), while the association was somewhat stronger for chronic pain (1.32 [1.19-1.47]). For the employees in the low occupational class, these associations were robust (1.29 [1.10-1.50] for acute/subacute and 1.43 [1.23-1.66] for chronic pain), whereas only chronic pain was associated with SA among those in the high occupational class (1.25 [1.08-1.46]). Chronic pain was also associated with SA days in the long term without occupational class differences. Similar results were obtained for multisite pain (pain in several locations).

conclusionsThese results indicate that particularly chronic and multisite pain have a within-individual link to SA but ignoring unobservable differences between those reporting pain and those not might yield overstated effect sizes. Pain might have a different relation to SA in low and high occupational classes.

Indexed as

AdultFemaleFinlandHumansIncidenceMaleMedical Record LinkageMiddle AgedOccupationsPainSick Leaveoccupational classpainpublic healthsickness absence

Identifiers

PMID30928960
PMCPMC6475189

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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.