Evidence map›Paper›PMID 41145248›Full record

ArticleBMJ open2025

Associations between prior and subsequent sickness absence before and during the COVID-19 pandemic: a Swedish prospective cohort study of 306 933 blue-collar workers in the retail and wholesale industry.

Lukasz Cybulski, Emma Pettersson, Kristina Alexanderson, Kristin Farrants

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Lukasz CybulskiDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-1774-7288
Emma PetterssonDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Kristina AlexandersonDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Kristin FarrantsDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden kristin.farrants@ki.se.ORCID http://orcid.org/0000-0001-9595-6627

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe length and frequency of previous sickness absence (SA) spells have been shown to be associated with future SA. The aim was to examine if this pattern persisted during the COVID-19 pandemic among workers in retail and sales.

designWe used pseudonymised, individual-level data from three nationwide Swedish administrative registers to conduct a prospective cohort study.

settingSweden.

participantsAll 306 933 blue-collar workers in retail and wholesale, aged 18-67 in Sweden in 2019. OUTCOMES: Likelihood and length of SA.

methodsWe used a Negative Binomial Hurdle model to estimate incidence rate ratios (IRR) and odds ratios (ORs) to determine if SA patterns differed in 2020-2021 compared with 2018-2019. We examined how these patterns varied according to the length and frequency of SA in the preceding year. Only SA spells >14 days were included.

results54 993 (18.5%) workers had SA during 2020-2021, an increase from 46 024 (15.6%) in 2018-2019. We observed a dose-response association between the number of prior SA days and the likelihood and length of future SA days, both before and during the pandemic. The likelihood of subsequent SA was higher in 2020-2021 compared with 2018-2019 among individuals with up to 180 prior SA days. Individuals with no prior SA had a lower average number of subsequent SA days during the pandemic (IRR (95% CI) 0.96 (0.94-0.98)) than in 2018-2019, while those with 1-30, 31-90 or 181-365 prior SA days had a higher average number of SA days during 2020-2021.

conclusionIndividuals with many SA days prior to the pandemic were at particularly high risk of lengthy SA during the pandemic years.

Indexed as

COVID-19Sick LeaveAdolescentAdultAgedCommerceFemaleHumansMaleMiddle AgedPandemicsProspective StudiesSARS-CoV-2SwedenYoung AdultCOVID-19EPIDEMIOLOGYOCCUPATIONAL & INDUSTRIAL MEDICINEPUBLIC HEALTH

Identifiers

PMID41145248
PMCPMC12581036

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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.