Evidence map›Paper›PMID 41027702›Full record

ArticleBMJ open2025

The impact of working conditions on breast cancer outcomes: a study protocol for a population-based cohort study using UK Biobank data.

Bernadette W A van der Linden, Cristian Carmeli, Saskia F A Duijts, Irina Guseva Canu, Sabine Rohrmann, Arnaud Chiolero

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Bernadette W A van der LindenPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland bernadette.vanderlinden@unifr.ch.ORCID http://orcid.org/0000-0002-4815-2121
Cristian CarmeliPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
Saskia F A DuijtsDepartment of Medical Psychology, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Irina Guseva CanuDepartment of Occupational and Environmental Health, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-7059-8421
Sabine RohrmannCancer Registry of the Cantons of Zurich, Zug, Schaffhausen, and Schwyz, University Hospital Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-2215-1200
Arnaud ChioleroPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer is the most common cancer among women globally. While the impact of lifestyle factors like smoking and obesity on breast cancer risk and survival is well documented, the effect of working conditions is not fully understood. Moreover, breast cancer can reduce employability, making it crucial to identify factors that facilitate return to work and improve life satisfaction. Since breast cancer is affected by sleep and lifestyle, which are related to working conditions, understanding how they affect breast cancer outcomes is key. This study aims to explore the relationship between working conditions and breast cancer outcomes, including incidence, mortality and survival within a causal framework. Our specific aims are to understand the relationship between (1) working conditions and occupational groups and breast cancer outcomes, including the extent to which sleep, lifestyle and breast cancer screening uptake explain these relationships and (2) prediagnosis working conditions, sleep and lifestyle and their effect on return to work and life satisfaction among breast cancer survivors. METHODS AND ANALYSIS: We will use data from the UK Biobank, a large-scale cohort study with data on 273 825 women between 40 and 69 years old at baseline, followed from 2006 to 2022. The data has been linked with death and cancer registries and includes 8309 incident breast cancer cases. To quantify the effect of working conditions on breast cancer outcomes (aim 1) and their effect on return to work and life satisfaction (aim 2), we will implement g-methods to estimate the average causal effect and employ counterfactual-based mediation analysis to quantify how much mediating factors, such as sleep and lifestyle, explain this effect. ETHICS AND DISSEMINATION: UK Biobank received ethical approval from the North West Multi-Centre Research Ethics Committee. No further ethical approval was required for the proposed research project. In line with the two aims, four original research manuscripts will be published in open-access peer-reviewed journals to disseminate the findings. In addition, findings will be disseminated at international conferences and scientific meetings.

Indexed as

Breast NeoplasmsAdultAgedBiological Specimen BanksCancer SurvivorsCohort StudiesFemaleHumansIncidenceLife StyleMiddle AgedResearch DesignReturn to WorkSleepUK BiobankUnited KingdomBreast tumoursEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID41027702
PMCPMC12506093

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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.