Evidence map›Paper›PMID 30453919›Full record

ArticleBMC public health2018

Information bias of social gradients in sickness absence: a comparison of self-report data in the Norwegian Mother and Child Cohort Study (MoBa) and data in national registries.

Petter Kristensen, Karina Corbett, Ferdinand A Mohn, Therese N Hanvold, Ingrid S Mehlum

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Validity of self-reported educational level in the Tromsø Study.Scandinavian journal of public health · 2023
    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

5 authors.

Petter KristensenDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway. petter.kristensen@stami.no.
Karina CorbettDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.
Ferdinand A MohnDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.
Therese N HanvoldDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.
Ingrid S MehlumDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.

Funding

Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
NIEHS NIH HHS N01 ES075558NINDS NIH HHS U01 NS047537The Research Council of Norway 237831
6 · The paper itself

Abstract

backgroundMeasurement error in self-report questionnaires is a common source of bias in epidemiologic studies. The study aim was to assess information bias of the educational gradient in sickness absence among participants in the Norwegian Mother and Child Cohort Study (MoBa), comparing self-report data with national register data.

methodsMoBa is a national prospective cohort study. The present study included 49,637 participants, born 1967-1976, who gave birth 2000-2009. The highest completed education level was recorded in categories and as educational years. Sickness absence was defined as one or more spell lasting more than 16 days between pregnancy weeks 13 and 30. We computed sickness absence risk in mid-pregnancy in strata of education level. Associations between completed educational years and sickness absence were estimated as risk differences in binomial regression and compared between self-report and register data. In additional analyses, we aimed to explain discrepancies between estimates from the two data sources.

resultsThe overall registry-based sickness absence risk was 0.478 and decreased for increasingly higher education in a consistent fashion, yielding an additive risk difference in association with one additional education year of - 0.032 (95% confidence interval - 0.035 to - 0.030). The self-report risk was lower (0.307) with a corresponding risk difference of only - 0.013 (95% confidence interval - 0.015 to - 0.011). The main explanation of the lower risk difference in the self-report data was a tendency for mothers in low education categories to omit reporting sickness absence in the questionnaire.

conclusionsA plausible explanation for the biased self-report association is complexity of the sickness absence question and a resulting educational gradient in non-response. As shown for sickness absence in mid-pregnancy in the present study, national registries could be a preferred alternative to self-report questionnaires.

Indexed as

BiasSelf ReportEducational StatusFemaleHumansNorwayPregnancyProspective StudiesRegistriesSick LeaveData qualityDifferential error (misclassification)Education levelInformation biasPregnancyRegister dataSelf-report dataSickness absenceSocial inequalities in healthThe Norwegian Mother and Child Cohort Study (MoBa)

Identifiers

PMID30453919
PMCPMC6245919

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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.