Characteristics of smokers and long-term changes in smoking behavior in consecutive patients with myocardial infarction

Prev Med. 2000 Dec;31(6):732-41. doi: 10.1006/pmed.2000.0755.

Abstract

Background: The prognosis of patients with estabLished coronary artery improves if smoking is stopped. Still, about half of patients who suffer a myocardial infarction continue smoking after that event. In order to predict to whom additional support should be offered, various baseline characteristics were compared with smoking status at short-term and long-term follow-up.

Methods: Demographics, medical history, presence of coronary risk factors, psychological determinants, and the clinical course were recorded in a group of 530 unselected consecutive patients who had been admitted with a myocardial infarction and were smoking. Patients who were smoking at admission, and who were alive at 4-year follow-up, were studied to relate smoking status and baseline characteristics.

Results: At 3 months, persistent smokers were younger than quitters, had shorter hospital stays, underwent revascularization procedures less often, smoked more cigarettes per day at baseline, and were more socially isolated. After 4 years, patients who stopped smoking had had a more serious myocardial infarction and had a lower displeasure score than those who continued smoking. Also, quitters received more support from their social environment.

Conclusions: Although the majority of the patients try to stop smoking after a myocardial infarction, about half smokes after 4 years. In the future, special support should be offered to smokers who suffer myocardial infarction, especially to those whose psychosocial profiles are less favorable.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Analysis of Variance
  • Attitude to Health*
  • Female
  • Health Behavior
  • Health Surveys
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Myocardial Infarction / epidemiology*
  • Myocardial Infarction / prevention & control*
  • Norway / epidemiology
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Reference Values
  • Registries
  • Risk Factors
  • Smoking / adverse effects*
  • Smoking / epidemiology*
  • Smoking Cessation / statistics & numerical data*
  • Statistics, Nonparametric
  • Survival Rate