Table 2. Association between socio-demographic factors and CPI according to multinomial logistic regression analysis.

Predictor Variables	Bleeding		Calculus
	Adjusted ORa(CI 95%)	P value	Adjusted ORa(CI 95%)	P value
Age (year)	1.44(1.31–1.59)	<0.001	1.53(1.17–2.02)	0.002
Gender
Boys	1.54 (1.16–2.06)	0.003	1.43(0.65–3.11)	0.36
Girls(Reference category)
Residence district
Urban	0.69 (0.51–0.93)	0.01	5.21(1.49–18.18)	0.01
Suburban(Reference category)
Dental Pain Experience
Never	0.97 (0.64–1.45)	0.88	2.97(0.79–11.18)	0.10
Seldom	1.12(0.78–1.61)	0.53	1.58(0.41–6.11)	0.50
Often(Reference category)
Father’s Education
≤Primary	0.52 (0.19–1.42)	0.20	0.48(0.02–8.25)	0.61
High School	0.88(0.51–1.51)	0.65	0.73(0.22–2.40)	0.60
>High School(Reference category)
Mother’s Education
≤Primary	1.43(0.51–4.01)	0.48	0.60(0.03–11.04)	0.73
High School	1.05(0.55–1.99)	0.87	0.59(0.15–2.20)	0.43
>High School(Reference category)
Father’s Occupation
Labor worker	1.50(0.89–2.55)	0.12	3.63(0.91–14.44)	0.06
Self-employed	1.13(0.78–1.64)	0.50	1.63(0.59–4.46)	0.34
Government employee(Reference category)
Mother’s Occupation
Not employed	0.55(0.29–1.05)	0.07	0.61(0.16–2.36)	0.48
Self-employed	0.40(0.18–0.86)	0.02	0.42(0.06–2.81)	0.37
Government employee(Reference category)
Parental supervision on oral hygiene
Yes	0.85 (0.62–1.17)	0.32	0.78(0.34–1.78)	0.55
No(Reference category)

CPI reference category is: healthy

CI, confidence interval; OR, odds ratio

^aThe regression was adjusted for sex & age