OBJECTIVES: To understand why older drivers living in a community setting stop driving. DESIGN: A cross-sectional study within a longitudinal cohort. SETTING: A geographically defined community in southern California. PARTICIPANTS: 1,950 respondents age 55 and older who reported ever being licensed drivers. MEASUREMENTS: A mailed survey instrument of self-reported driving habits linked to prior demographic, health, and medical information. RESULTS: Of the 1,950 eligible respondents, 141 had stopped driving within the previous 5 years. Among those who stopped, mean age was 85.5 years, 65.2% were female, and the majority reported they were in very good (43.4%) or good (34.0%) health. Nearly two-thirds reported driving less than 50 miles per week prior to stopping and 12.1% reported a motor vehicle crash during the previous 5 years. The most common reasons reported for stopping were medical (41.0%) and age-related (19.4%). In bivariate analyses, age and miles driven per week were each associated with cessation (P < or = .001). Medical conditions, crashes in the previous 5 years, and gender did not reach statistical significance at the P < or = .05 level. Logistic regression results found that the number of medical conditions was inversely associated with driving cessation. CONCLUSION: The relationship between medical conditions and driving is complex; while medical conditions were the most common reason given for driving cessation, those who stopped had fewer medical conditions than current drivers. This suggests that a broader measure of general health or functional ability may play a dominant role in decisions to stop driving.
OBJECTIVES: To understand why older drivers living in a community setting stop driving. DESIGN: A cross-sectional study within a longitudinal cohort. SETTING: A geographically defined community in southern California. PARTICIPANTS: 1,950 respondents age 55 and older who reported ever being licensed drivers. MEASUREMENTS: A mailed survey instrument of self-reported driving habits linked to prior demographic, health, and medical information. RESULTS: Of the 1,950 eligible respondents, 141 had stopped driving within the previous 5 years. Among those who stopped, mean age was 85.5 years, 65.2% were female, and the majority reported they were in very good (43.4%) or good (34.0%) health. Nearly two-thirds reported driving less than 50 miles per week prior to stopping and 12.1% reported a motor vehicle crash during the previous 5 years. The most common reasons reported for stopping were medical (41.0%) and age-related (19.4%). In bivariate analyses, age and miles driven per week were each associated with cessation (P < or = .001). Medical conditions, crashes in the previous 5 years, and gender did not reach statistical significance at the P < or = .05 level. Logistic regression results found that the number of medical conditions was inversely associated with driving cessation. CONCLUSION: The relationship between medical conditions and driving is complex; while medical conditions were the most common reason given for driving cessation, those who stopped had fewer medical conditions than current drivers. This suggests that a broader measure of general health or functional ability may play a dominant role in decisions to stop driving.
Authors: Jerri D Edwards; Melissa Lunsman; Martinique Perkins; George W Rebok; David L Roth Journal: J Gerontol A Biol Sci Med Sci Date: 2009-08-12 Impact factor: 6.053
Authors: Jodi A Cisewski; Laura L Durbin; Elizabeth G Bond; Min Qian; Jack M Guralnik; Judith Kasper; Thelma J Mielenz Journal: Phys Ther Date: 2019-07-01
Authors: Donna C Bird; Katherine Freund; Richard H Fortinsky; Loren Staplin; Bethany A West; Gwen Bergen; Jonathan Downs Journal: Traffic Inj Prev Date: 2016-08-30 Impact factor: 1.491
Authors: Jerri D Edwards; Martinique Perkins; Lesley A Ross; Sandra L Reynolds Journal: J Gerontol A Biol Sci Med Sci Date: 2009-01-30 Impact factor: 6.053