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Related Experiment Videos

Smoking cessation intervention in a large randomised population-based study. The Inter99 study.

Charlotta Pisinger1, Jørgen Vestbo, Knut Borch-Johnsen

  • 1Research Centre for Prevention and Health, Nordre Ringvej, DK-2600 Glostrup University Hospital, Glostrup, Denmark. chpi@glostruphosp.kbhamt.dk

Preventive Medicine
|November 10, 2004
PubMed
Summary

A high-intensity smoking cessation intervention in Copenhagen significantly increased validated abstinence rates among daily smokers compared to the background population. This study highlights effective strategies for population-based smoking control.

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Area of Science:

  • Public Health
  • Smoking Cessation Research
  • Behavioral Interventions

Background:

  • Previous community interventions have often failed to demonstrate significant reductions in smoking prevalence.
  • Effective strategies for large-scale smoking cessation remain a critical public health challenge.

Purpose of the Study:

  • To assess the effectiveness of a population-based smoking cessation intervention.
  • To evaluate the impact of high-intensity support on validated smoking abstinence.

Main Methods:

  • A randomized controlled trial involving 2,408 daily smokers in Copenhagen.
  • Active recruitment and inclusion of smokers across all motivational stages.
  • High-intensity intervention group offered cessation groups; low-intensity group received standard care.

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Main Results:

  • Validated 1-year abstinence rates were 16.3% (high intensity) and 12.7% (low intensity) versus 7.3% (background population).
  • High-intensity intervention significantly increased odds of abstinence (OR=2.2; 1.6-3.0) vs. background.
  • Intention-to-treat analysis also showed significantly higher abstinence in the high-intensity group (OR=1.5; 1.1-2.0).

Conclusions:

  • Population-based smoking cessation interventions with active recruitment and robust support can achieve high validated abstinence rates.
  • High-intensity interventions demonstrate superior effectiveness in community settings.
  • Factors like socioeconomic status, age of smoking onset, and motivation predict successful quitting.