Factors influencing dental care access in Jordanian adults

BMC Oral Health

Table 6 Multiple logistic regression models – utilization of dental services (R ² = 0.173) and users’ pattern of dental attendance (R ² = 0.05) for study sample

Explanatory variables	Utilization of dental services (dependent)#	Users’ pattern of attendance (dependent)$
	User vs. not user (N = 614)	Regular vs. Irregular (N = 573)
	OR (95% CI)	OR (95% CI)
Marital status
Married vs. Single	2.77** (1.3-5.8) 1.0	1.0 1.82* (1.07-3.1)
Missing teeth
Yes vs. No	6.6*** (2.5-17.6) 1.0	Not significant variable
Health status
Fair vs. Poor	2.6^NS (0.96-6.95)	Not significant variable

*Significant at 0.05 level. **significant at 0.005 level. ***significant at 0.001 level, NS = not significant.
The explanatory (independent) variables included in the model (Utilization of dental services)# were: Health status (Fair vs. Poor), Marital status (Married vs. Single), Missing teeth (Yes vs. No), Educational level (≤12 years vs. >12 years), Income level (<250 JD/Month vs. ≥250), Difficulties visiting (No vs. Yes), Having dental insurance (No vs. Yes), and Gender (Female vs. Male). Only Marital status and Missing teeth were significant factors influencing the utilization of dental services.
The explanatory (independent) variables included in the model (Users’ pattern of attendance)$ were: Health status (Fair vs. Poor), Marital status (Married vs. Single), Missing teeth (Yes vs. No). Marital status was the only significant factor influencing the users’ attendance pattern.

ISSN: 1472-6831