{"title":"Inequality in cancer survival rates among industrial sectors in Japan: an analysis of two large merged datasets","authors":"Rena Kaneko, Yuzuru Sato, Yasuki Kobayashi","doi":"10.1539/EOHP.2020-0021-OA","DOIUrl":null,"url":null,"abstract":"Objectives: Little is known about the specific prognosis of cancer among workers in different industrial sectors. The aim of this study is to demonstrate cancer survival inequality by industry sectors. Methods: Using multicenter inpatient data (1984 − 2017) and a regional cancer registry in Japan (1995–2018), we merged these two anonymized datasets. Based on standardized national classifications, cases were grouped according to the longest-held employment in primary, secondary, or tertiary industrial sectors. Data regarding smoking, alcohol consumption, and tumor staging at diagnosis were also extracted. We estimated the 5-year survival rates for common cancers using the Kaplan-Meier method to identify inequalities among industrial sectors. Cox proportional hazard model was used to calculate the hazard ratio (HR) of industry sectors. Results: A total of 13,234 cases were merged from two datasets. Among these, 8,794 cases were defined as common cancers (prostate, kidney, bladder, esophagus, stomach, liver, pancreas, colon, breast, and lung). Five-year survival was significantly (p = 0.025) shorter for primary industrial sector (43.1%) compared with secondary sector (54.5%) and tertiary sector (56.9%). The adjusted HR for secondary and tertiary sectors versus primary sector was 0.963 (95% confidence interval [CI], 0.649–1.429). Bladder cancer in secondary and tertiary sectors showed a significantly higher survival rate than in the primary sector (p < 0.0001), but the HR of secondary and tertiary sectors was 0.049 (95% CI, 0.021–0.153). Conclusions: This study revealed the potential of industrial sector inequalities with regard to the prognosis of cancers in Japan.","PeriodicalId":278195,"journal":{"name":"Environmental and Occupational Health Practice","volume":"649 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Occupational Health Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1539/EOHP.2020-0021-OA","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Objectives: Little is known about the specific prognosis of cancer among workers in different industrial sectors. The aim of this study is to demonstrate cancer survival inequality by industry sectors. Methods: Using multicenter inpatient data (1984 − 2017) and a regional cancer registry in Japan (1995–2018), we merged these two anonymized datasets. Based on standardized national classifications, cases were grouped according to the longest-held employment in primary, secondary, or tertiary industrial sectors. Data regarding smoking, alcohol consumption, and tumor staging at diagnosis were also extracted. We estimated the 5-year survival rates for common cancers using the Kaplan-Meier method to identify inequalities among industrial sectors. Cox proportional hazard model was used to calculate the hazard ratio (HR) of industry sectors. Results: A total of 13,234 cases were merged from two datasets. Among these, 8,794 cases were defined as common cancers (prostate, kidney, bladder, esophagus, stomach, liver, pancreas, colon, breast, and lung). Five-year survival was significantly (p = 0.025) shorter for primary industrial sector (43.1%) compared with secondary sector (54.5%) and tertiary sector (56.9%). The adjusted HR for secondary and tertiary sectors versus primary sector was 0.963 (95% confidence interval [CI], 0.649–1.429). Bladder cancer in secondary and tertiary sectors showed a significantly higher survival rate than in the primary sector (p < 0.0001), but the HR of secondary and tertiary sectors was 0.049 (95% CI, 0.021–0.153). Conclusions: This study revealed the potential of industrial sector inequalities with regard to the prognosis of cancers in Japan.