Evidence map›Paper›PMID 39215024›Full record

ArticleScientific reports2024

Lifetime employment trajectories and cancer.

Stéphane Cullati, Stefan Sieber, Rainer Gabriel, Matthias Studer, Arnaud Chiolero, Bernadette W A van der Linden

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

6 authors.

Stéphane CullatiPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Route Des Arsenaux 41, CH-1700, Fribourg, Switzerland. stephane.cullati@unifr.ch.
Stefan SieberBarcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Rainer GabrielInstitute of Diversity and Social Integration, Zurich University of Applied Sciences, Winterthur, Switzerland.
Matthias StuderInstitute of Demographics and Socioeconomics, University of Geneva, Geneva, Switzerland.
Arnaud ChioleroPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Route Des Arsenaux 41, CH-1700, Fribourg, Switzerland.
Bernadette W A van der LindenPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Route Des Arsenaux 41, CH-1700, Fribourg, Switzerland. bernadette.vanderlinden@unifr.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working life is associated with lifestyle, screening uptake, and occupational health risks that may explain differences in cancer onset. To better understand the association between working life and cancer risk, we need to account for the entire employment history. We investigated whether lifetime employment trajectories are associated with cancer risk. We used data from 6809 women and 5716 men, average age 70 years, from the Survey of Health, Ageing, and Retirement in Europe. Employment history from age 16 to 65 was collected retrospectively using a life calendar and trajectories were constructed using sequence analysis. Associations between employment trajectories and self-reported cancer were assessed using logistic regression. We identified eight employment trajectories for women and two for men. Among women, the risk of cancer was higher in the trajectories "Mainly full-time to home/family", "Full-time or home/family to part-time", "Mainly full-time", and "Other" compared with the "Mainly home/family" trajectory. Among men, the risk of cancer was lower in the "Mainly self-employment" trajectory compared with "Mainly full-time". We could show how employment trajectories were associated with cancer risk, underlining the potential of sequence analysis for life course epidemiology. More research is needed to understand these associations and determine if causal relationships exist.

Indexed as

EmploymentNeoplasmsAdolescentAdultAgedEuropeFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultCancerEmploymentEpidemiologyLife courseSequence analysisSocial determinants of health

Identifiers

PMID39215024
PMCPMC11364773

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.