Corrected and Republished from: Socioeconomic Predictors of Trends in Cancer Mortality Among Municipalities in Japan, 2010–2019

Background: A study investigating associations between various socioeconomic factors and standardized mortality ratios (SMR) of each type of cancer among municipalities in Japan has not been conducted using the data of the pastdecade. Herein, we investigated the predictors of a recent trend of municipal SMRs of cancer using the Vital Statisticsin Japan and revealed the change in the SMRs depending on the identified predictors. Methods: Data on cancermortality for each municipality in 2010 and 2019 were used. We calculated empirical Bayes SMR (EBSMR) for eachmunicipality by type of cancer and sex and then fitted a multiple linear regression model using possible predictors in2010 as explanatory variables and the EBSMR in 2019 as the outcome variable. We also classified municipalities intoquintiles based on the values of an identified predictor in 2010, and SMRs of each type of cancer in 2010 and 2019were calculated for each quintile. Results: The population was positively associated with EMSMRs of multiple cancertypes, whereas educational level was negatively associated with EMSMRs of multiple cancer types. In addition, SMRsof municipalities with the lowest educational level deteriorated from 2010 to 2019 for many cancer types among menand women, and the difference between municipalities with the highest and lowest educational level for the SMR ofcancer in all sites widened in 2019 for men. On the other hand, the SMR of municipalities with the highest educationallevel or the largest population tended to be higher than municipalities with lower counterparts in both 2010 and 2019for women.