Evidence map›Paper›PMID 39910412›Full record

ArticleBMC public health2025

Cancer mortality and sectors of employment: a cohort study in Italy.

Stefania Massari, Lisa Bauleo, Claudio Gariazzo, Paola Michelozzi, Luca Dei Bardi, Nicolas Zengarini, Sara Maio, Massimo Stafoggia, Marina Davoli, Giovanni Viegi and 3 more

Abstract read
In one paragraph

Article in BMC public health, 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

13 authors.

Stefania MassariDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene - Italian National Institute for Insurance against Accidents at Work (Inail), Via Stefano Gradi 55, Rome, 00143, Italy. s.massari@inail.it.
Lisa BauleoDepartment of Environment and Health, Italian National Institute of Health, Rome, Italy.
Claudio GariazzoDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene - Italian National Institute for Insurance against Accidents at Work (Inail), Via Stefano Gradi 55, Rome, 00143, Italy.
Paola MichelozziDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy.
Luca Dei BardiDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy.
Nicolas ZengariniEpidemiology Unit, ASL TO3 Piedmont Region, Collegno, Torino, Italy.
Sara MaioInstitute of Clinical Physiology, National Research Council (CNR), Pisa, 56124, Italy.
Massimo StafoggiaDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy.
Marina DavoliDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy.
Giovanni ViegiInstitute of Clinical Physiology, National Research Council (CNR), Pisa, 56124, Italy.
Giulia CesaroniDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome, Italy.
Alessandro MarinaccioDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene - Italian National Institute for Insurance against Accidents at Work (Inail), Via Stefano Gradi 55, Rome, 00143, Italy.
BIGEPI Collaborative Group

Funding

National Institute for Insurance against Accidents at Work (INAIL) Call on Research and Collaboration 2019-2021 (project contract no. BRIC 2019 ID 46: BIGEPI).
6 · The paper itself

Abstract

backgroundCancer is a multifactorial disease. The large impact of occupational exposure on the burden of cancer continues to be a paramount public health concern that deserves more attention. The study aims to evaluate cancer-specific mortality risk in relation to sectors of employment.

methodsWe used a cohort from the Rome Longitudinal Study (ROL) and linked it with the National Social Insurance Agency (INPS) database to obtain working histories. We considered the longest duration of employment in a sector as a proxy of exposure, and insurance activities as the reference category. A Cox regression adjusted model was used to examine the associations between cancer-specific causes of death and the sector of employment in men and women. A similar analysis was performed considering the length of employment (≤ 10 years versus ≥ 10 years).

resultsThe study population comprised 910,559 (52% of the total population of the cohort after linkage with INPS) 30 + yr employees (53% men and 47% women) followed for a total period of approximately 7 million years. The outcomes confirmed some well-known associations (e.g. lung and pleura in construction, pleura in paper and printing, and lung in wood and leather) and suggested possible high-risk sectors that have not yet been thoroughly investigated. In men we observed an increased mortality risk for stomach cancer in the printing and paper industry (HR = 1.69, 95% CI:1.11-2.57) as well as for stomach and lung cancer in cleaning activities (HR = 1.98, 95% CI:1.13-3.49 and HR = 1.55, 95% CI:1.22-1.98, respectively). Among women, there was an elevated mortality risk in the cleaning industry for all malignant cancers (HR = 1.15, 95% CI:1.03-1.29), liver cancer (HR = 1.94, 95% CI:1.08-3.48) and cancer of the lympho-hematopoietic tissue (HR = 1.65, 95% CI:1.09-2.50).

conclusionsThe results showed an increased risk of cancer death in some traditional industrial sectors compared to the reference category of insurance activities such as construction and wood and leather products and limited evidence in sectors like cleaning, accommodation and food services and hairdressing. The adopted method proved to be effective in monitoring occupational risks and activating proper prevention initiatives and further insights.

Indexed as

EmploymentNeoplasmsOccupational DiseasesOccupational ExposureOccupationsAdultCohort StudiesFemaleHumansItalyLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsAdministrative dataHazard ratioOccupational epidemiologyRoutinely collected health dataSocial security statisticsWork-related cancer

Identifiers

PMID39910412
PMCPMC11796278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.