Diffuse white matter abnormalities, possibly from silent strokes.
Abstract
Background
There
are no reported studies on the relationship between traffic crashes and
brain tissue changes in healthy drivers. The relationship between
traffic crashes and leukoaraiosis, a common magnetic resonance imaging
finding, was investigated in this study.
Methods
A
total of 3,930 automobile drivers (2,037 men and 1,893 women; age,
21–87 years) who underwent brain magnetic resonance imaging as part of
total health check-ups and answered a road traffic questionnaire were
examined to determine whether asymptomatic leukoaraiosis was associated
with various types of traffic crashes. Multiple logistic regression
analysis was performed to elucidate the relationship between
leukoaraiosis and various types of traffic crashes.
Results
Subcortical
leukoaraiosis was diagnosed in 28.52% of all subjects, whereas
periventricular leukoaraiosis was diagnosed in 9.57% of all subjects.
Adjusted odds ratios for involvement in all types of traffic crashes
were not significant for subjects with periventricular leukoaraiosis;
however, they were significant for subjects with multiple and large
multiple subcortical leukoaraiosis. Adjusted odds ratios for involvement
in crashes at crossroads were 1.09 (95% confidence interval [CI],
0.60–2.00) for subjects with single subcortical leukoaraiosis, 3.35 (95%
CI, 2.36–4.77) for subjects with multiple subcortical leukoaraiosis,
and 2.45 (95% CI, 2.36–4.98) for subjects with large multiple
subcortical leukoaraiosis. Periventricular leukoaraiosis was not
significantly associated with crossroad crashes. Involvement in crashes
of any type, parking lot crashes, and rear-end collisions showed no
significant association with either subcortical or periventricular
leukoaraiosis.
Conclusions
Multiple
subcortical leukoaraiosis, but not periventricular leukoaraiosis, is
significantly associated with traffic crashes, in particular, crossroad
crashes. This association is independent of sex, age, and driving
exposure. To our knowledge, this is the first evidence describing the
relationship between brain tissue changes and traffic crashes.
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