Table 2

Logistic regression response surface model for diabetes and the interaction of age and educational level interaction, adjusted for sex and region

Variables	Unadjusted OR (95% CI)	p Value	Adjusted OR (95% CI)	p Value
Age	1.28 (1.12 to 1.45)	<0.001	1.22 (1.06 to 1.42)	0.005
Age 2	0.998 (0.997 to 0.999)	0.002	0.998 (0.997 to 0.999)	0.002
Gender
Female	Reference
Male	0.996 (0.68 to 1.45)	0.986
Educational level
No formal education	Reference		Reference
Elementary	0.38 (0.15 to 0.93)	0.033	0.02 (0.01 to 1.46)	0.075
Middle-high	0.34 (0.15 to 0.79)	0.012	0.12 (0.01 to 2.99)	0.199
Technical	0.19 (0.07 to 0.51)	0.001	0.02 (0.01 to 1.35)	0.070
College or more	0.29 (0.10 to 0.86)	0.025	0.01 (0.01 to 0.27)	0.009
Region
Metropolitan Lima city	Reference
Rest of coast	0.92 (0.52 to 1.63)	0.779
Highlands	0.52 (0.25 to 1.05)	0.067
Jungle	0.39 (0.14 to 1.12)	0.080
Age×educational level
Age×elementary			1.04 (0.98 to 1.12)	0.162
Age×middle-high			1.02 (0.97 to 1.08)	0.362
Age×technical			1.05 (0.98 to 1.13)	0.177
Age×college or more			1.08 (1.02 to 1.15)	0.010

Unadjusted and adjusted ORs and CIs were estimated using logistic regression models. The adjusted (final) model does not show non-statistically significant variables. Reference denotes reference categories for statistical comparisons. Age 2 denotes a squared age term.