Table 6. Parameter estimates from linear regression predicting food variety score among adolescents.^¶ .

Predictors(n = 2084)	β	SE	P
Adolescent food insecurity (Ref.  =  food secure)	−1.993	0.219	<0.001
Age of adolescent(Years)	0.137	0.072	0.058
Dependency ratio middle tertile (ref: low tertile)	−0.212	0.217	0.328
Dependency ratio tertile high (ref: lowest tertile)	−0.029	0.229	0.898
Household income middle tertile (ref: low tertile)	0.112	0.214	0.601
Household income tertile high (ref: low tertile)	0.636	0.244	0.009
Education: secondary or above (ref: primary)	−0.008	0.271	0.978
Urban residence (ref :Rural)	0.513	0.244	0.036
Semi urban residence (ref: Rural)	1.818	0.232	<0.001

^¶Multivariable linear regression model with the Food Variety Score as a dependent variable and predictors with

P<0.05 of the bivariate model.

Adjusted R² =  0.085.

Ref =  reference category.

Coefficients as obtained from a multivariable linear regression model.

Maximum Variance inflation factor  =  1.78.

SE =  Standard error.