Medication use and the risk of motor vehicle collision in West Virginia drivers 65 years of age and older: a case-crossover study

Table 5 Risk of involvement in a motor vehicle collision by medication exposure categorized by pharmaceutical sub-class

Medication sub-class	Number of individuals taking medication (N)	1:4 Matched control periods^a
Medication sub-class	Number of individuals taking medication (N)	Model 1 Odds ratio (95 % CI)		Model 2 Odds ratio (95 % CI)
Anticholesteremics	31	1.50	(0.44, 5.18)	0.42	(0.08, 2.21)
Anticoagulants	20	3.59	(0.84, 15.28)	2.29	(0.35, 15.19)
Antidepressants	30	2.05	(0.59, 7.16)	0.50	(0.09, 2.67)
Antihyperglycemics	22	15.36	(1.79, 132.0)	2.24	(0.17, 29.84)
Antihypertensives	39	3.32	(1.15, 9.62)	1.24	(0.29, 5.32)
Benzodiazepines	21	1.96	(0.58, 6.62)	0.71	(0.15, 3.34)
Narcotic Analgesics	41	1.56	(0.72, 3.39)	0.94	(0.32, 2.75)

^aConditional logistic regression was used to calculate the odds ratios and 95 % CI. Each case’s medication exposure during the 14 day risk period immediately before the crash was matched to four separate control periods up to one year before the collision to assess if medication use during the risk period was associated with an increase of motor vehicle collision compared to control periods. Model 1 is the crude estimate (i.e. unadjusted) while Model 2 was adjusted for the number of medications a person was taking during each case and control period

ISSN: 1756-0500