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ArticleBMC public health2026

Attributable fraction and number of cancer cases attributed to occupational carcinogens in Iran in 2019.

Ahmad Naghibzadeh-Tahami, Yahya Khosravi, Ahmad-Reza Zamani, Ali-Akbar Haghdoost

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ahmad Naghibzadeh-TahamiNeuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
Yahya KhosraviDepartment of Occupational Health and Safety Engineering, School of Health, Alborz University of Medical Sciences, Karaj, Iran.
Ahmad-Reza ZamaniPhysiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
Ali-Akbar HaghdoostHIV/STI Surveillance Research Center, WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran. ahaghdoost@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough occupational exposure to carcinogenic agents accounts for only a relatively small fraction of cancers, the estimated burden in Iran remains considerable due to widespread exposure in major industries and the scarcity of national data. This study aimed to estimate the proportion and number of cases of bladder, leukemia, lung, laryngeal, and liver cancers attributable to four major occupational carcinogens-silica, benzene, asbestos, and lead-in Iran in 2019.

methodsAn attributable fraction (AF)-based approach was used to estimate the burden of occupational cancers in Iran. AFs were calculated using odds ratios (ORs) associated with specific occupational exposures. Although AFs are traditionally calculated using relative risks (RRs), ORs were used because they are more commonly reported in occupational studies and can approximate RRs when outcomes are rare. For each exposure, ORs were selected from epidemiological sources, including industry- or population-based studies, meta-analyses, and reviews. The number of workers exposed to occupational carcinogens in 2019 was obtained from the national occupational exposure surveillance system. AFs were then applied to national cancer incidence data to estimate the attributable numbers (ANs) of cancers related to occupational exposures. Monte Carlo simulation was used to estimate uncertainty intervals (UIs) for both AFs and ANs.

resultsIn 2019, 60 (95% UI: 46-77) cases of lung, bladder, liver, laryngeal, and leukemia cancers were attributable to historical lead exposure (AF = 34%). The total number of cancer cases attributable to historical silica exposure was estimated at 623 (95% UI: 365-881) (AF = 36%). Furthermore, 602 (95% UI: 334-887) cases of bladder, lung, liver, leukemia, and laryngeal cancers were attributable to occupational benzene exposure (AF = 23%). For asbestos, the AF was 42%, but the estimated attributable number was very small because of the limited number of exposed workers (AN = 0.41, 95% UI: 0.264-0.538).

conclusionThese findings suggest that occupational exposure to carcinogenic agents may contribute substantially to the burden of selected cancers in Iran. Although the estimates are exploratory and based on scenario-based modeling assumptions, they highlight the importance of preventive workplace interventions and improved occupational exposure surveillance systems.

Indexed as

CarcinogensNeoplasmsOccupational DiseasesOccupational ExposureAsbestosBenzeneFemaleHumansIncidenceIranMaleSilicon DioxideAsbestosBenzeneCarcinogensSilicon DioxideAttributable fractionIranNeoplasmsOccupational carcinogens

Identifiers

PMID42351086
PMCPMC13602639

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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.