Table 5. Multivariable logistic regression model predicting the likelihood of having high dietary diversity, high frequency of consuming animal source foods per week among adolescents.^¶ .

Predictor Variables(n = 2084)	n	High Dietary diversity Score			High frequency of ASF intake
		β	OR(95%CI)	P	β	OR(95%CI)	P
Adolescent food security
Food secure (ref)	1656		1			1
Food insecure	428	−0.87	0.42(0.29−0.62)	<0.001	−0.41	0.67(0.51−0.87)	0.003
Sex of the adolescent
Male (ref)	1059		1
Female	1025	−0.41	0.66(0.52−0.84)	0.001	—	—	—
Age of the adolescent (years)	2084	0.14	1.15(1.04−1.27)	0.006	0.07	1.07(0.99−1.17)	0.097
Place of residence
Urban (ref)	746		1			1
Semi-urban	589	−0.21	0.81(0.61−1.08)	0.149	−0.51	0.60(0.47−0.77)	<0.001
Rural	749	−1.00	0.37(0.26−0.53)	<0.001	−1.26	0.28(0.21−0.38)	<0.001
Household income (tertiles)
Low(ref)	687		1			1
Middle	702	0.09	1.09(0.79−1.51)	0.602	0.28	1.32(1.01−1.72)	0.040
High	695	0.48	1.61(1.16−2.24)	0.004	0.85	2.33(1.76−3.08)	<0.001
Dependency ratio (tertiles)
Low (ref)	635		1			1
Middle	743	0.11	1.12(0.85−1.49)	0.430	0.05	1.05(0.83−1.35)	0.673
High	706	0.06	1.06(0.78−1.46)	0.699	0.10	1.10(0.84−1.44)	0.487
Educational status(Adol)
Primary (ref)	1583		1			1
Secondary and above	501	0.13	1.14(0.82−1.59)	0.442	0.422	1.02(0.76−1.37)	0.885
Hosemer Lemeshow Test (P)			0.113			0.895
Cox and Snell's Pseudo R2			0.083			0.071

Parameters estimates were adjusted for the tabulated variables. Ref: indicates the reference category.

Maximum Variance inflation factor  =  1.96.

^¶Parameters estimates adjusted for: Dependency ratio, household income, gender of the household head.

Coefficients as obtained from a multivariable linear regression model.

High =  3^rd tertile for both DDS and frequency of ASF consumption.

Adol =  Adolescent.