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Related Experiment Videos

Driving cessation and changes in mileage driven among elderly individuals

R A Marottoli1, A M Ostfeld, S S Merrill

  • 1Department of Medicine, Yale University, West Haven, Connecticut.

Journal of Gerontology
|September 1, 1993
PubMed
Summary

Older adults who stop driving often face increased risks from factors like age, low income, and disability. Combining these factors accurately predicts driving cessation in the elderly population.

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Area of Science:

  • Gerontology
  • Public Health
  • Transportation Safety

Background:

  • Driving is crucial for elderly independence.
  • Understanding factors influencing driving cessation is vital for public health and safety.
  • Previous research has identified some medical correlates of driving cessation.

Purpose of the Study:

  • To identify factors associated with driving cessation in community-living elderly individuals.
  • To assess the number of miles driven and changes in mileage over time.
  • To develop a predictive model for driving cessation based on identified risk factors.

Main Methods:

  • A driving survey was administered to surviving members of the New Haven Elderly persons, Environment, and Physical Activity Study (EPESE) cohort in 1989.

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  • A cohort of 1,331 respondents was analyzed, with data collected between 1983 and 1989.
  • Multiple logistic regression was used to identify independent predictors of driving cessation.

    • Main Results:

    • 139 out of 456 drivers had stopped driving between 1983 and 1989.
    • Independent predictors of driving cessation included higher age, lower income, not working, neurologic disease, cataracts, lower physical activity, and functional disability.
    • A model combining risk factors showed that individuals with three or more factors had a 49% cessation rate, compared to 17% with one or two factors, and 0% with none.
    • High mileage drivers were typically younger, active males who were still employed.
    • Increasing age and disability correlated with reduced mileage.

    Conclusions:

    • Driving cessation in the elderly is influenced by a combination of medical, social, economic, and physical activity factors.
    • Physical activity level and socioeconomic status are significant contributors to driving cessation, alongside medical conditions.
    • A cumulative risk model effectively predicts driving cessation, highlighting the importance of a multifactorial approach to understanding and potentially intervening in this process.