Identifying the Smoking and Smokeless Tobacco-Related Predictors on Frequencies of Heavy Vehicle Traffic Accidents in Bangladesh: Linear and Binary Logistic Regression-Based Approach

Table 7

Odds ratios for continuous and categorical predictors.

	Term		Odds ratio^∗	95% CI
Continuous predictors	Age		1.0184	(0.9905, 1.0470)
	DrivingHour		1.0069	(0.9361, 1.0829)
	AvgCigPerDay		1.0065	(0.9679, 1.0467)
	CigUseYr		1.0357	(0.9943, 1.0787)
	NosSmokeDurDrive		1.0654	(0.9209, 1.2324)
	NosSmokePerDrivHr		0.2847	(0.0541, 1.4994)
	TypeofSmoke		1.1905	(0.3024, 4.6860)
Categorical predictors	Level A	Level B	Odds ratio^∗	95% CI
	SmokeorTobaccoStatus
	YES	NO	0.1995	(0.0467, 0.8529)
	SmokeDaily
	Not at all	Daily	0.6227	(0.0715, 5.4250)
	TypofSmklessTobc
	Jarda	Gul	≤0.001	(≤0.001, 4.13843E + 101)
	Khoini	Gul	0.9601	(≤0.001, 2.96379E + 222)
	No consumption	Gul	≤0.001	(≤0.001, 1.71199E + 101)
	White-pata	Gul	≤0.001	(≤0.001, 4.97055E + 101)
	Khoini	Jarda	0.9887	(≤0.001, 2.11697E + 200)
	No consumption	Jarda	0.4137	(0.0536, 3.1936)
	White-pata	Jarda	1.1992	(0.2368, 6.0732)
	No consumption	Khoini	≤0.001	(≤0.001, 5.03528E + 189)
	White-pata	Khoini	≤0.001	(≤0.001, 1.45674E + 190)
	White-pata	No consumption	2.8989	(0.3655, 22.9941)
	Level A	Level B	Odds ratio^∗	95% CI
	SmkLessTobDailyStat
	No consumption	Daily	3.0185	(0.4725, 19.2821)
	Sometimes	Daily	0.6491	(0.1398, 3.0149)
	Sometimes	No consumption	0.2150	(0.0313, 1.4759)
	SmokeDurDrive
	YES	NO	3.0184	(1.5590, 5.8441)

^∗Odds ratio for level A relative to level B.