Cargando…
Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada
BACKGROUND: Age, family history and ancestry are the only recognized risk factors for prostate cancer (PCa) but a role for environmental factors is suspected. Due to the lack of knowledge on the etiological factors for PCa, studies that are both hypothesis-generating and confirmatory are still neede...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073998/ https://www.ncbi.nlm.nih.gov/pubmed/27769264 http://dx.doi.org/10.1186/s12940-016-0185-1 |
_version_ | 1782461675249598464 |
---|---|
author | Sauvé, Jean-François Lavoué, Jérôme Parent, Marie-Élise |
author_facet | Sauvé, Jean-François Lavoué, Jérôme Parent, Marie-Élise |
author_sort | Sauvé, Jean-François |
collection | PubMed |
description | BACKGROUND: Age, family history and ancestry are the only recognized risk factors for prostate cancer (PCa) but a role for environmental factors is suspected. Due to the lack of knowledge on the etiological factors for PCa, studies that are both hypothesis-generating and confirmatory are still needed. This study explores relationships between employment, by occupation and industry, and PCa risk. METHODS: Cases were 1937 men aged ≤75 years with incident PCa diagnosed across Montreal French hospitals in 2005-2009. Controls were 1994 men recruited concurrently from electoral lists of French-speaking Montreal residents, frequency-matched to cases by age. In-person interviews elicited occupational histories. Unconditional logistic regression estimated odds ratios (OR) and 95 % confidence intervals (CI) for the association between employment across 696 occupations and 613 industries and PCa risk, adjusting for potential confounders. Multinomial logistic models assessed risks by PCa grade. Semi-Bayes (SB) adjustment accounted for the large number of associations evaluated. RESULTS: Consistently positive associations—and generally robust to SB adjustment—were found for occupations in forestry and logging (OR 1.9, 95 % CI: 1.2–3.0), social sciences (OR 1.6, 95 % CI: 1.1–2.2) and for police officers and detectives (OR: 1.8, 95 % CI 1.1–2.9). Occupations where elevated risk of high grade PCa was found included gasoline station attendants (OR 4.3, 95 % CI 1.8–10.4) and textile processing occupations (OR 1.8, 95 % CI 1.1–3.2). Aside from logging, industries with elevated PCa risk included provincial government and financial institutions. Occupations with reduced risk included farmers (OR 0.6, 95 % CI 0.4–1.0) and aircraft maintenance workers (OR 0.1, 95 % CI 0.0–0.7). CONCLUSIONS: Excess PCa risks were observed across several occupations, including predominantly white collar workers. Further analyses will focus on specific occupational exposures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12940-016-0185-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5073998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50739982016-10-27 Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada Sauvé, Jean-François Lavoué, Jérôme Parent, Marie-Élise Environ Health Research BACKGROUND: Age, family history and ancestry are the only recognized risk factors for prostate cancer (PCa) but a role for environmental factors is suspected. Due to the lack of knowledge on the etiological factors for PCa, studies that are both hypothesis-generating and confirmatory are still needed. This study explores relationships between employment, by occupation and industry, and PCa risk. METHODS: Cases were 1937 men aged ≤75 years with incident PCa diagnosed across Montreal French hospitals in 2005-2009. Controls were 1994 men recruited concurrently from electoral lists of French-speaking Montreal residents, frequency-matched to cases by age. In-person interviews elicited occupational histories. Unconditional logistic regression estimated odds ratios (OR) and 95 % confidence intervals (CI) for the association between employment across 696 occupations and 613 industries and PCa risk, adjusting for potential confounders. Multinomial logistic models assessed risks by PCa grade. Semi-Bayes (SB) adjustment accounted for the large number of associations evaluated. RESULTS: Consistently positive associations—and generally robust to SB adjustment—were found for occupations in forestry and logging (OR 1.9, 95 % CI: 1.2–3.0), social sciences (OR 1.6, 95 % CI: 1.1–2.2) and for police officers and detectives (OR: 1.8, 95 % CI 1.1–2.9). Occupations where elevated risk of high grade PCa was found included gasoline station attendants (OR 4.3, 95 % CI 1.8–10.4) and textile processing occupations (OR 1.8, 95 % CI 1.1–3.2). Aside from logging, industries with elevated PCa risk included provincial government and financial institutions. Occupations with reduced risk included farmers (OR 0.6, 95 % CI 0.4–1.0) and aircraft maintenance workers (OR 0.1, 95 % CI 0.0–0.7). CONCLUSIONS: Excess PCa risks were observed across several occupations, including predominantly white collar workers. Further analyses will focus on specific occupational exposures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12940-016-0185-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-21 /pmc/articles/PMC5073998/ /pubmed/27769264 http://dx.doi.org/10.1186/s12940-016-0185-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Sauvé, Jean-François Lavoué, Jérôme Parent, Marie-Élise Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada |
title | Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada |
title_full | Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada |
title_fullStr | Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada |
title_full_unstemmed | Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada |
title_short | Occupation, industry, and the risk of prostate cancer: a case-control study in Montréal, Canada |
title_sort | occupation, industry, and the risk of prostate cancer: a case-control study in montréal, canada |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073998/ https://www.ncbi.nlm.nih.gov/pubmed/27769264 http://dx.doi.org/10.1186/s12940-016-0185-1 |
work_keys_str_mv | AT sauvejeanfrancois occupationindustryandtheriskofprostatecanceracasecontrolstudyinmontrealcanada AT lavouejerome occupationindustryandtheriskofprostatecanceracasecontrolstudyinmontrealcanada AT parentmarieelise occupationindustryandtheriskofprostatecanceracasecontrolstudyinmontrealcanada |