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Avoidable cancers in the Nordic countries. Aims and background

J H Olsen1

  • 1Institute of Cancer Epidemiology, Danish Cancer Society.

APMIS. Supplementum
|January 1, 1997
PubMed

Insights

Reducing cancer mortality requires addressing carcinogen exposure. Primary prevention is key, but its effects on cancer rates are delayed, necessitating long-term strategies for measurable impact.

Area of Science:

  • Public Health
  • Cancer Research
  • Epidemiology

Background:

  • Nordic Council of Ministers adopted an action plan in 1989 to decrease cancer mortality by 15% by 2000.
  • The plan focused on cancer cause removal, early diagnosis, and improved treatment.
  • Initial results have been disappointing, indicating a need for revised strategies.

Purpose of the Study:

  • To review the methodological background for estimating avoidable cancer cases through primary prevention in Nordic countries.
  • To assess the potential impact of reducing exposure to carcinogens on cancer mortality.
  • To provide a framework for evaluating primary prevention's role in cancer control.

Main Methods:

  • Review of methodological approaches for quantifying preventable cancer cases.
  • Analysis of the relationship between carcinogen exposure and cancer incidence.
  • Examination of the lag period in carcinogenesis and its effect on mortality trends.

Main Results:

  • The study highlights the significant potential of primary prevention in reducing cancer burden.
  • Identified that reducing exposure to cancer-causing agents is the most efficient strategy based on current knowledge.
  • Emphasized that the long latency period of cancer means mortality reductions from prevention are not immediate.

Conclusions:

  • Primary prevention, by reducing exposure to carcinogens, is crucial for long-term cancer mortality reduction.
  • Methodological frameworks are essential for estimating the impact of preventive measures.
  • Sustained implementation of preventive strategies is necessary to observe significant decreases in cancer mortality.

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