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Table 3 Bivariate analysis for Gender, Age, and Race/Ethnicity

From: Medication use and driving patterns in older drivers: preliminary findings from the LongROAD study

 GenderAgeRace/Ethnicity
Medication ClassMale (%)
N = 1381
Female (%)
N = 1564
p65–69 (%)
N = 1221
70–74 (%)
N = 1024
75–79 (%)
N = 700
pWhite non-Hispanic (%)
N = 2523
Black, Non-Hispanic (%)
N = 207
Asian (%)
N = 65
Other, Non-Hispanic (%)*
N = 67
Hispanic (%)
N = 79
P
Antihistamine10.614.1<.0113.111.612.7.5612.711.19.217.98.9.19
Anti-infective agents9.310.4.3869.89.211.0.4610.09.74.611.98.9.26
Anti-neoplastic agents2.55.0<.013.74.13.6.823.93.41.54.52.5.94
Autonomic26.8%17.3%<.0120.3%22.6%23.1%.2621.3%25.1%18.5%28.4%25.3%.21
Blood Formation, Coagulation17.99.1<.019.614.118.4<.0113.314.513.89.012.7.83
Cardiovascular78.868.9<.0168.174.981.1<.0173.279.272.371.670.9.58
CNS agents71.069.6.40867.272.971.7<.0170.967.646.279.165.8<.01
EENT24.024.1.96821.824.627.3.0223.825.627.726.924.1.84
Electrolytic41.162.5<.0151.350.657.3.0152.561.844.644.841.8.02
Gastrointestinal drugs30.632.4.3229.532.334.0.1031.631.923.129.938.0.45
Hormones and synthetic substitutes38.250.1<.0143.644.446.3.5144.545.440.050.743.0.62
Respiratory tract3.04.1.132.94.14.1.123.44.87.73.05.1.14
Skin and mucous membrane agents18.015.0.0313.318.718.4<.0116.417.913.814.916.5.92
Smooth Muscle Relaxants1.94.0<.012.03.34.4<.013.02.91.53.06.3.17
Vitamins58.770.2<.0164.063.168.6.0565.660.950.865.763.3.24
Not classified32.138.7<.0133.436.737.7.1136.630.432.335.827.8.22
Miscellaneous agents15.710.2<.0111.113.115.3.0313.011.112.316.410.1.79