A proportional odds model of risk behaviors associated with recurrent road traffic crashes among young adults in Kuwait

Table 1 Socio-demographic characteristics of the university students enrolled in a study of one-year period prevalence of road traffic crashes in Kuwait, December 2016 (N = 1465)

Demographic characteristics	Total study sample (n = 1465)^a	%
Age (years), n (%)%
17–20	537	37.7
21–25	804	56.4
≥ 26	85	6.0
Missing, n	39	2.7
Age (years), Mean (SD); Range (min – max)	21.5 (3.3) (17–38)
Gender, n (%)
Male	417	28.5
Female	1046	71.5
Missing, n	2	0.1
Nationality
Kuwaiti	980	67.1
Non-Kuwaiti	480	32.9
Missing, n	5	0.3
Governorate of residence
Capital	348	23.8
Hawalli	389	26.6
Farwaniya	204	13.9
Mubarak Al-Kabeer	171	11.7
Ahmadi	162	11.1
Jahra	189	12.9
Missing, n	2	0.1
Faculty/ College of studies^b
Science faculties	857	59.2
Non-Science faculties	596	40.8
Missing, n	3	0.2

^aCategory totals may not add up to total because of missing values
^bScience Faculties (Medicine, Dentistry, Pharmacy, Allied Health, Engineering and Petroleum, Sciences, Computer Science and Engineering, Life Science, Architecture); Non-Science Faculties (Business and Administration, Law, Literature, Education, Islamic Studies and Sharia’a, Social sciences

ISSN: 1471-2288