Evidence map›Paper›PMID 37495983›Full record

ArticleBMC public health2023

Long-term sickness absence trajectories among ageing municipal employees - the contribution of social and health-related factors.

Johanna Suur-Uski, Olli Pietiläinen, Aino Salonsalmi, Johanna Pekkala, Pi Fagerlund, Ossi Rahkonen, Tea Lallukka

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Johanna Suur-UskiDepartment of Public Health, University of Helsinki, Tukholmankatu 8B, P.O. Box 20, Helsinki, 00014, Finland. johanna.suur-uski@helsinki.fi.ORCID 0000-0002-0580-5989
Olli PietiläinenDepartment of Public Health, University of Helsinki, Tukholmankatu 8B, P.O. Box 20, Helsinki, 00014, Finland.ORCID 0000-0003-2764-0182
Aino SalonsalmiDepartment of Public Health, University of Helsinki, Tukholmankatu 8B, P.O. Box 20, Helsinki, 00014, Finland.ORCID 0000-0002-3939-2844
Johanna PekkalaDepartment of Public Health, University of Helsinki, Tukholmankatu 8B, P.O. Box 20, Helsinki, 00014, Finland.ORCID 0000-0001-8001-1006
Pi FagerlundDepartment of Public Health, University of Helsinki, Tukholmankatu 8B, P.O. Box 20, Helsinki, 00014, Finland.ORCID 0000-0002-5889-7805
Ossi RahkonenDepartment of Public Health, University of Helsinki, Tukholmankatu 8B, P.O. Box 20, Helsinki, 00014, Finland.ORCID 0000-0002-7202-3274
Tea LallukkaDepartment of Public Health, University of Helsinki, Tukholmankatu 8B, P.O. Box 20, Helsinki, 00014, Finland.ORCID 0000-0003-3841-3129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ageing work force is heterogeneous, following distinct development in work ability. This study aims to identify trajectories of long-term sickness absence (SA) in later careers and to examine potentially modifiable factors associated with the development of SA.

methodsData comprised of municipal employees of the city of Helsinki aged 50-60 years during 2004-2018 (N = 4729, 80% women). The developmental trajectories of long-term (> 10 working days) SA were examined with Group-based trajectory modelling (GBTM) using SA records of the Social Insurance Institution of Finland during 2004-2018. All-cause and diagnosis-specific (mental disorder- and musculoskeletal disease-related) SA days were analysed. The association of social and health-related factors with trajectory membership was examined using multinomial logistic regression (odds ratios and 95% confidence intervals).

resultsA model with three trajectories was selected for both all-cause and diagnosis-specific SA. Regarding all-cause long-term SA trajectories, 42% had no long-term SA, 46% had low levels of SA, and 12% had a high rate of SA during follow-up. Lower occupational class, reporting smoking, overweight or obesity, moderate or low leisure-time physical activity, and sleep problems were associated with a higher likelihood of belonging to the trajectory with a high rate of SA in both all-cause and diagnosis-specific models.

conclusionsMost ageing employees have no or little long-term SA. Modifiable factors associated with trajectories with more SA could be targeted when designing and timing interventions in occupational healthcare.

Indexed as

AgingMusculoskeletal DiseasesFemaleFinlandHumansMaleMiddle AgedObesityOccupationsOverweightSick LeaveAgeingCohort studyHealth behaviourSick leaveSickness absenceTrajectoriesWork arrangements

Identifiers

PMID37495983
PMCPMC10373243

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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.