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Type A behaviour pattern and traffic accidents

N Magnavita1, R Narda, L Sani

  • 1Institute of Occupational Medicine, Catholic University School of Medicine, Rome, Italy.

The British Journal of Medical Psychology
|March 1, 1997
PubMed
Summary
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Traffic policemen exhibiting Type A behavior patterns face a significantly higher risk of traffic accidents. This study found a 4.2 times greater risk for those with Type A traits, highlighting a crucial link between behavior and road safety.

Area of Science:

  • Occupational Health
  • Traffic Safety Research
  • Behavioral Psychology

Background:

  • The Type A behavior pattern (TABP) is characterized by competitiveness, impatience, and aggression.
  • Previous research suggests a link between TABP and cardiovascular disease, but its impact on traffic accident risk is less understood.
  • Traffic policemen are a high-risk group due to demanding work conditions and frequent driving.

Purpose of the Study:

  • To investigate the association between Type A behavior pattern (TABP) and the risk of traffic accidents among traffic policemen.
  • To determine if TABP is an independent risk factor for traffic accidents in this occupational group.

Main Methods:

  • A cohort of 86 police drivers from an Italian town participated in the study.
  • The Bortner questionnaire was used to assess the Type A behavior pattern.

Related Experiment Videos

  • Multiple logistic regression analysis was employed to adjust for confounding variables.

    • Main Results:

    • Police drivers with a Type A behavior pattern exhibited a higher risk of traffic accidents compared to those with lower scores.
    • The adjusted odds ratio for traffic accidents was 4.2 (95% CI: 1.17–15.17) for drivers with Type A behavior.

    Conclusions:

    • Type A behavior pattern is a significant risk factor for traffic accidents among traffic policemen.
    • Interventions aimed at modifying Type A behaviors could potentially reduce traffic accident rates in this population.
    • Further research is warranted to explore the underlying mechanisms linking TABP and accident risk.