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Association of Esophageal Cancer Mortality with Municipal Socioeconomic Deprivation Level in Japan, 2013–2017: An Ecological Study Using Nationwide Data

Author

Listed:
  • Tasuku Okui

    (Medical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan)

  • Akie Hirata

    (Medical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan)

  • Naoki Nakashima

    (Medical Information Center, Kyushu University Hospital, Fukuoka 812-8582, Japan)

Abstract

This study aimed to show geographical differences in esophageal cancer mortality in Japan and reveal an association of esophageal cancer mortality with municipal socioeconomic deprivation level. Esophageal cancer mortality data in the Vital Statistics from 2013 to 2017 for each municipality and corresponding population data were analyzed. The deprivation level was derived from the municipal socioeconomic variables by principal component analysis. Municipalities were classified into five quintiles based on the deprivation level, and an association between the level and esophageal cancer mortality was evaluated using a Bayesian spatial model. As a result of regression analysis, the relative risk of esophageal cancer mortality tended to become larger as the deprivation level increased irrespective of sex, and the relative risk of esophageal cancer mortality was significantly higher in quintile 5 (most deprived) than quintile 1 (least deprived) among men and women. These results suggest that the deprivation level increases the risk of esophageal cancer mortality in Japan.

Suggested Citation

  • Tasuku Okui & Akie Hirata & Naoki Nakashima, 2022. "Association of Esophageal Cancer Mortality with Municipal Socioeconomic Deprivation Level in Japan, 2013–2017: An Ecological Study Using Nationwide Data," IJERPH, MDPI, vol. 19(9), pages 1-9, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5483-:d:806724
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    References listed on IDEAS

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    1. Hang A Park & Hye Ah Lee & Ju Ok Park, 2020. "Association between Area-Level Socioeconomic Deprivation and Prehospital Delay in Acute Ischemic Stroke Patients: An Ecological Study," IJERPH, MDPI, vol. 17(20), pages 1-12, October.
    2. Lee, Duncan, 2013. "CARBayes: An R Package for Bayesian Spatial Modeling with Conditional Autoregressive Priors," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 55(i13).
    3. Misuzu Fujita & Yasunori Sato & Kengo Nagashima & Sho Takahashi & Akira Hata, 2016. "Income Related Inequality of Health Care Access in Japan: A Retrospective Cohort Study," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-19, March.
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