Evidence map›Paper›PMID 31676640›Full record

ArticleBMJ open2019

Self-reported health problems and obesity predict sickness absence during a 12-month follow-up: a prospective cohort study in 21 608 employees from different industries.

Minna Pihlajamäki, Jukka Uitti, Heikki Arola, Jyrki Ollikainen, Mikko Korhonen, Tapio Nummi, Simo Taimela

Open access · goldAbstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 16% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Obesity and sickness absenteeism among health workers in a private hospital in South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2022
    Article
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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 at 3 institutions in 1 country.

Minna PihlajamäkiFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Jukka UittiFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Heikki ArolaTerveystalo, Helsinki, Finland.
Jyrki OllikainenFaculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
Mikko KorhonenFaculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
Tapio NummiFaculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
Simo TaimelaOrthopedics and Traumatology, University of Helsinki, Helsinki, Finland simo.taimela@helsinki.fi.ORCID 0000-0001-6755-2983
Tampere University · FIEtelä-Karjalan sosiaali ja terveyspiiri · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study whether self-reported health problems predict sickness absence (SA) from work in employees from different industries.

methodsThe results of a health risk appraisal (HRA) were combined with archival data of SA of 21 608 employees (59% female, 56% clerical). Exposure variables were self-reported health problems, labelled as 'work disability (WD) risk factors' in the HRA, presence of problems with occupational well-being and obesity. Age, socioeconomic grading and the number of SA days 12 months before the survey were treated as confounders. The outcome measure was accumulated SA days during 12-month follow-up. Data were analysed separately for males and females. A Hurdle model with negative binomial response was used to analyse zero-inflated count data of SA.

resultsThe HRA results predicted the number of accumulated SA days during the 12-month follow-up, regardless of occupational group and gender. The ratio of means of SA days varied between 2.7 and 4.0 among those with 'WD risk factors' and the reference category with no findings, depending on gender and occupational group. The lower limit of the 95% CI was at the lowest 2.0. In the Hurdle model, 'WD risk factors', SA days prior to the HRA and obesity were additive predictors for SA and/or the accumulated SA days in all occupational groups.

conclusionSelf-reported health problems and obesity predict a higher total count of SA days in an additive fashion. These findings have implications for both management and the healthcare system in the prevention of WD.

Indexed as

AbsenteeismHealth StatusSelf ReportAdolescentAdultAgedCohort StudiesFemaleFinlandHealth Status IndicatorsHumansMaleMiddle AgedObesityOccupational HealthProspective Studieshealth surveillanceoccupational health practicerisk assessmentsickness absence

Identifiers

PMID31676640
PMCPMC6830705
OpenAlexW2989511455

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.