Evidence map›Paper›PMID 30409406›Full record

ArticleThe Lancet. Public health2018

Lifestyle factors and risk of sickness absence from work: a multicohort study.

Marianna Virtanen, Jenni Ervasti, Jenny Head, Tuula Oksanen, Paula Salo, Jaana Pentti, Anne Kouvonen, Ari Väänänen, Sakari Suominen, Markku Koskenvuo and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet. Public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 4 pooled it
24.3field-weighted citation impact, top 1% 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

85 citing papers in PubMed, 4 syntheses or guidelines pooled it, 143 citations in OpenAlex.

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25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 9 institutions in 5 countries.

Marianna VirtanenDepartment of Public Health and Caring Sciences, University of Uppsala, Uppsala, Sweden; Finnish Institute of Occupational Health, Helsinki and Turku, Finland. Electronic address: marianna.virtanen@ttl.fi.
Jenni ErvastiFinnish Institute of Occupational Health, Helsinki and Turku, Finland.
Jenny HeadDepartment of Epidemiology and Public Health, University College London, London, UK.
Tuula OksanenFinnish Institute of Occupational Health, Helsinki and Turku, Finland.
Paula SaloFinnish Institute of Occupational Health, Helsinki and Turku, Finland; Department of Psychology, University of Turku, Turku, Finland.
Jaana PenttiDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
Anne KouvonenFaculty of Social Sciences, University of Helsinki, Helsinki, Finland; SWPS University of Social Sciences and Humanities, Wroclaw, Poland.
Ari VäänänenFinnish Institute of Occupational Health, Helsinki and Turku, Finland; School of Social Policy, Sociology and Social Research, University of Kent, UK.
Sakari SuominenDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland; University of Skövde, Skövde, Sweden; Folkhälsan Research Center, Helsinki, Finland.
Markku KoskenvuoClinicum, Faculty of Medicine, University of Helsinki, Finland.
Jussi VahteraDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
Marko ElovainioDepartment of Psychology and Logopedics, University of Helsinki, Helsinki, Finland; National Institute for Health and Welfare, Helsinki, Finland.
Marie ZinsInserm, Population-based Epidemiologic Cohorts Unit UMS 011, Villejuif, France; Paris Descartes University, Paris, France.
Marcel GoldbergInserm, Population-based Epidemiologic Cohorts Unit UMS 011, Villejuif, France; Paris Descartes University, Paris, France.
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, London, UK; Clinicum, Faculty of Medicine, University of Helsinki, Finland.
Finnish Institute of Occupational Health · FIUniversity College London · GBUniversity of Turku · FIDélégation Paris 5 · FRFinnish Institute for Health and Welfare · FIInserm · FRTurku University Hospital · FIUniversity of Helsinki · FIUniwersytet SWPS · PL

Funding

Medical Research Council MR/K013351/1Medical Research Council MR/R024227Medical Research Council MR/R024227/1
6 · The paper itself

Abstract

backgroundLifestyle factors influence the risk of morbidity and mortality, but the extent to which they are associated with employees' absence from work due to illness is unclear. We examined the relative contributions of smoking, alcohol consumption, high body-mass index, and low physical activity to diagnosis-specific sickness absence.

methodsWe did a multicohort study with individual-level data of participants of four cohorts from the UK, France, and Finland. Participants' responses to a lifestyle survey were linked to records of sickness absence episodes, typically lasting longer than 9 days; for each diagnostic category, the outcome was the total number of sickness absence days per year. We estimated the associations between lifestyle factors and sickness absence by calculating rate ratios for the number of sickness absence days per year and combining cohort-specific estimates with meta-analysis. The criteria for assessing the evidence included the strength of association, consistency across cohorts, robustness to adjustments and multiple testing, and impact assessment by use of population attributable fractions (PAF), with both internal lifestyle factor prevalence estimates and those obtained from European populations (PAF

findingsFor 74 296 participants, during 446 478 person-years at risk, the most common diagnoses for sickness absence were musculoskeletal diseases (70·9 days per 10 person-years), depressive disorders (26·5 days per 10 person-years), and external causes (such as injuries and poisonings; 12·8 days per 10 person-years). Being overweight (rate ratio [adjusted for age, sex, socioeconomic status, and chronic disease at baseline] 1·30, 95% CI 1·21-1·40; PAF

interpretationLifestyle factors are associated with sickness absence due to several diseases, but observational data cannot determine the nature of these associations. Future studies should investigate the cost-effectiveness of lifestyle interventions aimed at reducing sickness absence and the use of information on lifestyle for identifying groups at risk.

fundingNordForsk, British Medical Research Council, Academy of Finland, Helsinki Institute of Life Sciences, and Economic and Social Research Council.

Indexed as

Life StyleSedentary BehaviorAdultAlcohol DrinkingCohort StudiesFemaleFinlandFranceHumansMaleMiddle AgedObesityRisk FactorsSick LeaveSmokingUnited Kingdom

Identifiers

PMID30409406
PMCPMC6220357
OpenAlexW2900045143

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.