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[An analysis of relationship between mortality of cancer and age-period-cohort]

H Q Li1, S K Jin, F Wu

  • 1Shandong Academy of Medical Sciences, Jinan.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|August 1, 1995
PubMed

Insights

Age-period-cohort (APC) analysis reveals changing cancer risk factors. Cervical cancer risks decreased, while stomach cancer risks increased in the 1960s, informing epidemiological studies.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Cancer Research

Context:

  • Mortality rates are influenced by age, time period, and birth cohort.
  • The age-period-cohort (APC) model assumes mortality is a product of age, period, and cohort factors.
  • Log-transformed mortality data allows for linear modeling using standard statistical techniques.

Purpose:

  • To apply the age-period-cohort (APC) model to analyze changes in cancer risk factors.
  • To estimate the effects of age, period, and cohort on mortality using linear regression.
  • To investigate temporal trends in the etiology of cervical and stomach cancers.

Summary:

  • The age-period-cohort (APC) model, represented as ln(mij) = ai+bj+ck, was used to analyze mortality data.
  • Linear regression estimated age (a), period (b), and cohort (c) effects, with EXP(beta) quantifying variable impact.
  • APC analysis indicated decreased risk factors for cervical cancer post-liberation and increased stomach cancer risk in the early 1960s.

Impact:

  • The study demonstrates the utility of APC analysis in understanding evolving cancer risk factors.
  • Findings provide insights into the epidemiology and etiology of cervical and stomach cancers.
  • The analytical method can benefit future cancer research and public health strategies.

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