Factors associated with dental and medical care attendance in UK resident Yemeni khat chewers: a cross sectional study

Table 4 Results of the hierarchical binary multiple regression predicting medical attendance in a sample of UK resident adult male Yemeni khat chewers (n = 168)

Explanatory factors	Model 1		Model 2		Model 3
	Predisposing factors		Predisposing and enabling factors		Predisposing, enabling and self-reported needs factors
	B	OR ( 95%CI)	B	OR ( 95%CI)	B	OR (95%CI)
Age	0.041	1.04(1.02,1.07)***	0.041	1.04(1.02,1.07)***	0.030	1.03 (1.01,1.06)*
Marital status
Other status	0.982	1	0.963	1	0.931	1
Married		2.67 (.96, 7.42)		2.62 (.93, 7.41)		2.54 (.85,7.58)
Education level
High education	−0.104	1	−0.096	1	−0.072	1
Low education		0.90 ( 0.42,1.93)		0.91 ( 0.42, 1.95)		0.93 (0.415,2.09)
Reading language
English, English & Arabic	−0.290	1	−0.287	1	−0.284	1
Arabic & other		0.75 ( 0.35, 1.61)		0.76 (0.35,1.64)		0.75 ( 0.33, 1.70)
Crowding
Overcrowded	−0.794	1	−0.798	1	−0.511	1
Uncrowded		0.45 ( 0.21, .98)*		0.45 (0.21, .98)*		0.60 ( 0.26,1.37)
SDS-khat	0.162	1.18 (1.07,1.29)**	0.164	1.18(1.03,1.39)***	0.152	1.16 (1.05,1.29)***
Social participation			0.002	1.00 ( .98,1.02)	0.008	1.01 (.99, 1.03)
Self-reported health condition(s)
No					1.51	1
Yes						4.51 (2.02, 10.08)***

*p≤0.05, **p≤0.01, ***p≤0.001;
Multiple Regression Model 1: N=168, Cox & Snell R Square and Nagelkerke R Square 30.0-40.2 %;
Multiple Regression Model 2: N=168, Cox & Snell R Square and Nagelkerke R Square 30.0-40.2 %;
Multiple Regression Model 3: N=168, Cox & Snell R Square and Nagelkerke R Square 34.6.46.3 %.

ISSN: 1471-2458