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Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class

BACKGROUND: Socioeconomic inequalities in female cancer incidence have previously been undocumented in Japan. METHODS: Using a nationwide inpatient dataset (1984–2016) in Japan, we identified 143,806 female cancer cases and 703,157 controls matched for sex, age, admission date, and admitting hospita...

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Autores principales: Zaitsu, Masayoshi, Kaneko, Rena, Takeuchi, Takumi, Sato, Yuzuru, Kobayashi, Yasuki, Kawachi, Ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019265/
https://www.ncbi.nlm.nih.gov/pubmed/30014030
http://dx.doi.org/10.1016/j.ssmph.2018.06.001
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author Zaitsu, Masayoshi
Kaneko, Rena
Takeuchi, Takumi
Sato, Yuzuru
Kobayashi, Yasuki
Kawachi, Ichiro
author_facet Zaitsu, Masayoshi
Kaneko, Rena
Takeuchi, Takumi
Sato, Yuzuru
Kobayashi, Yasuki
Kawachi, Ichiro
author_sort Zaitsu, Masayoshi
collection PubMed
description BACKGROUND: Socioeconomic inequalities in female cancer incidence have previously been undocumented in Japan. METHODS: Using a nationwide inpatient dataset (1984–2016) in Japan, we identified 143,806 female cancer cases and 703,157 controls matched for sex, age, admission date, and admitting hospital, and performed a hospital-based matched case-control study. Based on standardized national classification, we categorized patients’ socioeconomic status (SES) by occupational class (blue-collar, service, professional, manager), cross-classified by industry sector (blue-collar, service, white-collar). Using blue-collar workers in blue-collar industries as the reference group, we estimated the odds ratio (OR) for each cancer incidence using conditional logistic regression with multiple imputation, adjusted for major modifiable risk factors (smoking, alcohol consumption). RESULTS: We identified lower risks among higher-SES women for common and overall cancers: e.g., ORs for managers in blue-collar industries were 0.67 (95% confidence interval [CI], 0.46–0.98) for stomach cancer and 0.40 (95% CI, 0.19–0.86) for lung cancer. Higher risks with higher SES were evident for breast cancer: the OR for professionals in service industries was 1.60 (95% CI, 1.29–1.98). With some cancers, homemakers showed a similar trend to subjects with higher SES; however, the magnitude of the OR was weaker than those with higher SES. CONCLUSIONS: Even after controlling for major modifiable risk factors, socioeconomic inequalities were evident for female cancer incidence in Japan.
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spelling pubmed-60192652018-07-16 Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class Zaitsu, Masayoshi Kaneko, Rena Takeuchi, Takumi Sato, Yuzuru Kobayashi, Yasuki Kawachi, Ichiro SSM Popul Health Article BACKGROUND: Socioeconomic inequalities in female cancer incidence have previously been undocumented in Japan. METHODS: Using a nationwide inpatient dataset (1984–2016) in Japan, we identified 143,806 female cancer cases and 703,157 controls matched for sex, age, admission date, and admitting hospital, and performed a hospital-based matched case-control study. Based on standardized national classification, we categorized patients’ socioeconomic status (SES) by occupational class (blue-collar, service, professional, manager), cross-classified by industry sector (blue-collar, service, white-collar). Using blue-collar workers in blue-collar industries as the reference group, we estimated the odds ratio (OR) for each cancer incidence using conditional logistic regression with multiple imputation, adjusted for major modifiable risk factors (smoking, alcohol consumption). RESULTS: We identified lower risks among higher-SES women for common and overall cancers: e.g., ORs for managers in blue-collar industries were 0.67 (95% confidence interval [CI], 0.46–0.98) for stomach cancer and 0.40 (95% CI, 0.19–0.86) for lung cancer. Higher risks with higher SES were evident for breast cancer: the OR for professionals in service industries was 1.60 (95% CI, 1.29–1.98). With some cancers, homemakers showed a similar trend to subjects with higher SES; however, the magnitude of the OR was weaker than those with higher SES. CONCLUSIONS: Even after controlling for major modifiable risk factors, socioeconomic inequalities were evident for female cancer incidence in Japan. Elsevier 2018-06-08 /pmc/articles/PMC6019265/ /pubmed/30014030 http://dx.doi.org/10.1016/j.ssmph.2018.06.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Zaitsu, Masayoshi
Kaneko, Rena
Takeuchi, Takumi
Sato, Yuzuru
Kobayashi, Yasuki
Kawachi, Ichiro
Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class
title Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class
title_full Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class
title_fullStr Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class
title_full_unstemmed Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class
title_short Occupational inequalities in female cancer incidence in Japan: Hospital-based matched case-control study with occupational class
title_sort occupational inequalities in female cancer incidence in japan: hospital-based matched case-control study with occupational class
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019265/
https://www.ncbi.nlm.nih.gov/pubmed/30014030
http://dx.doi.org/10.1016/j.ssmph.2018.06.001
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