The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Occupation and cancer – follow-up of 15 million people in five Nordic countries
Open accessAbstract
We present up to 45 years of cancer incidence data by occupational category for the Nordic populations. The study covers the 15 million people aged 30-64 years in the 1960, 1970, 1980/1981 and/or 1990 censuses in Denmark, Finland, Iceland, Norway and Sweden, and the 2.8 million incident cancer cases diagnosed in these people in a follow-up until about 2005. The study was undertaken as a cohort study with linkage of individual records based on the personal identity codes used in all the Nordic countries. In the censuses, information on occupation for each person was provided through free text in self-administered questionnaires. The data were centrally coded and computerised in the statistical offices. For the present study, the original occupational codes were reclassified into 53 occupational categories and one group of economically inactive persons. All Nordic countries have a nation-wide registration of incident cancer cases during the entire study period. For the present study the incident cancer cases were classified into 49 primary diagnostic categories. Some categories have been further divided according to sub-site or morphological type. The observed number of cancer cases in each group of persons defined by country, sex, age, period and occupation was compared with the expected number calculated from the stratum specific person years and the incidence rates for the national population. The result was presented as a standardised incidence ratio, SIR, defined as the observed number of cases divided by the expected number. For all cancers combined (excluding non-melanoma skin cancer), the study showed a wide variation among men from an SIR of 0.79 (95% confidence interval 0.66-0.95) in domestic assistants to 1.48 (1.43-1.54) in waiters. The occupations with the highest SIRs also included workers producing beverage and tobacco, seamen and chimney sweeps. Among women, the SIRs varied from 0.58 (0.37-0.87) in seafarers to 1.27 (1.19-1.35) in tobacco workers. Low SIRs were found for farmers, gardeners and teachers. Our study was able to repeat most of the confirmed associations between occupations and cancers. It is known that almost all mesotheliomas are associated with asbestos exposure. Accordingly, plumbers, seamen and mechanics were the occupations with the highest risk in the present study. Mesothelioma was the cancer type showing the largest relative differences between the occupations. Outdoor workers such as fishermen, gardeners and farmers had the highest risk of lip cancer, while the lowest risk was found among indoor workers such as physicians and artistic workers. Studies of nasal cancer have shown increased risks associated with exposure to wood dust, both for those in furniture making and for those exposed exclusively to soft wood like the majority of Nordic woodworkers. We observed an SIR of 1.84 (1.66-2.04) in male and 1.88 (0.90-3.46) in female woodworkers. For nasal adenocarcinoma, the SIR in males was as high as 5.50 (4.60-6.56). Male waiters and tobacco workers had the highest risk of lung cancer, probably attributable to active and passive smoking. Miners and quarry workers also had a high risk, which might be related to their exposure to silica dust and radon daughters. Among women, tobacco workers and engine operators had a more than fourfold risk as compared with the lung cancer risk among farmers, gardeners and teachers. The occupational risk patterns were quite similar in all main histological subtypes of lung cancer. Bladder cancer is considered as one of the cancer types most likely to be related to occupational carcinogens. Waiters had the highest risk of bladder cancer in men and tobacco workers in women, and the low-risk categories were the same ones as for lung cancer. All this can be accounted for by smoking. The second-highest SIRs were among chimney sweeps and hairdressers. Chimney sweeps are exposed to carcinogens such as polycyclic aromatic hydrocarbons from the chimney soot, and hairdressers' work environment is also rich in chemical agents. Exposure to the known hepatocarcinogens, the Hepatitis B virus and aflatoxin, is rare in the Nordic countries, and a large proportion of primary liver cancers can therefore be attributed to alcohol consumption. The highest risks of liver cancer were seen in occupational categories with easy access to alcohol at the work place or with cultural traditions of high alcohol consumption, such as waiters, cooks, beverage workers, journalists and seamen. The risk of colon cancer has been related to sedentary work. The findings in the present study did not strongly indicate any protective role of physical activity. Colon cancer was one of the cancer types showing the smallest relative variation in incidence between occupational categories. The occupational variation in the risk of female breast cancer (the most common cancer type in the present series, 373 361 cases) was larger, and there was a tendency of physically demanding occupations
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Carcinogenicity of shift-work, painting, and fire-fighting
Straif, K., Baan, R., Grosse, Y., Secretan, B., Ghissassi, F. E., Bouvard, V., Altieri, A., Benbrahim-Tallaa, L., & Cogliano, V. (2007) · The Lancet Oncology · doi:10.1016/s1470-2045(07)70373-x · Cited by 1,082
Cited by
Total and Cause-Specific Mortality of U.S. Nurses Working Rotating Night Shifts
Gu, F., Han, J., Laden, F., Pan, A., Caporaso, N. E., Stampfer, M. J., Kawachi, I., Rexrode, K. M., Willett, W. C., Hankinson, S. E., et al. (2015) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.10.018 · Cited by 202
Night work and breast cancer risk among Norwegian nurses: assessment by different exposure metrics
Lie, J.-A. S., Kjuus, H., Zienolddiny, S., Haugen, A., Stevens, R. G., & Kjaerheim, K. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwr014 · Cited by 168
Sigurdardottir, L. G., Valdimarsdottir, U. A., Fall, K., Rider, J. R., Lockley, S. W., Schernhammer, E., & Mucci, L. A. (2012) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-12-0116 · Cited by 162
Marinaccio, A., Binazzi, A., Marzio, D. D., Scarselli, A., Verardo, M., Mirabelli, D., Gennaro, V., Mensi, C., Riboldi, L., Merler, E., et al. (2012) · International Journal of Cancer · doi:10.1002/ijc.26229 · Cited by 138
Study of occupation and amyotrophic lateral sclerosis in a Danish cohort
Dickerson, A. S., Hansen, J., Kioumourtzoglou, M.-A., Specht, A. J., Gredal, O., & Weisskopf, M. G. (2018) · Occupational and Environmental Medicine · doi:10.1136/oemed-2018-105110 · Cited by 40
N-acetyltransferase 2 phenotype, occupation, and bladder cancer risk: results from the EPIC cohort
Pesch, B., Gawrych, K., Rabstein, S., Weiss, T., Casjens, S., Rihs, H.-P., Ding, H., Angerer, J., Illig, T., Klopp, N., et al. (2013) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-13-0119-t · Cited by 35
Asbestos: Modern Insights for Toxicology in the Era of Engineered Nanomaterials
Felley-Bosco, E., & MacFarlane, M. (2018) · Chemical Research in Toxicology · doi:10.1021/acs.chemrestox.8b00146 · Cited by 23
Vitamin D, sun, sunbeds and health
Moan, J., Baturaite, Z., Juzeniene, A., & Porojnicu, A. C. (2012) · Public Health Nutrition · doi:10.1017/s1368980011002801 · Cited by 23
Vaingankar, J. A., Subramaniam, M., Chong, S. A., He, V. Y., Abdin, E., Picco, L., Lim, W. Y., & Chia, S. E. (2015) · Annals of the Academy of Medicine, Singapore · doi:10.47102/annals-acadmedsg.v44n4p133 · Cited by 9
Metadata
- Authors
- Pukkala, E., Martinsen, J. I., Lynge, E., Gunnarsdottir, H. K., Sparén, P., Tryggvadottir, L., Weiderpass, E., & Kjaerheim, K.
- Venue
- Acta Oncologica
- Published
- 2009-01
- Volume
- 48
- Issue
- 5
- Pages
- 646-790
- ISSN
- 0284-186X (ISSN-L)
- 1651-226X
- OpenAlex
- W2024440102
- Cited by
- 718
- References
- 1
- FWCI
- 17.75
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.