Evidence map›Paper›PMID 32845930›Full record

ArticlePloS one2020

Do birthrates contribute to sickness absence differences in women? A cohort study in Catalonia, Spain, 2012-2014.

Andrew N March, Rocío Villar, Monica Ubalde-Lopez, Fernando G Benavides, Laura Serra

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Andrew N MarchCenter for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain.ORCID 0000-0002-8575-7314
Rocío VillarCenter for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain.
Monica Ubalde-LopezBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.ORCID 0000-0002-2037-6377
Fernando G BenavidesCenter for Research in Occupational Health, Universitat Pompeu Fabra, Barcelona, Spain.
Laura SerraResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study explores the differences in sickness absence trends in women according to reproductive age group and medical diagnoses.

methodsData were obtained from two administrative registries: the Continuous Working Life Sample and the Catalonian Institute of Medical Evaluations from 2012 to 2014, containing 47,879 female employees. Incidence rates and incidence risk ratios derived from Poisson and negative binomial models were calculated to compare sickness absence trends among reproductive age groups based on Catalonian birthrates: early-reproductive (25-34 years old), middle-reproductive (35-44) and late-reproductive (45-54), according to diagnostic groups, selected diseases, type of contract, occupational category, and country of origin.

resultsYounger women show a higher incidence of overall sickness absence compared to late-reproductive-aged women. Incidence risk ratios of sickness absence decreased significantly from early-reproductive to late-reproductive age for low back pain, hemorrhage in early pregnancy, nausea and vomiting, and abdominal and pelvic pain. DISCUSSION: The higher incidence of sickness absence due to pregnancy-related health conditions in early-reproductive women compared to other reproductive age groups, may explain the sickness absence differences by age in women. Proper management of sickness absence related to pregnancy should be a goal to reduce the sickness absence gap between younger and older women.

Indexed as

Birth RateAdultAge FactorsCohort StudiesFemaleHumansIncidenceMiddle AgedPregnancyPregnancy ComplicationsRegistriesReproductive BehaviorSick LeaveSpain

Identifiers

PMID32845930
PMCPMC7449461

What OpenQuestion holds

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Registered trials

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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.