Table 3.

Association between NSEP scores and Prevalent Pre-diabetes and Diabetes status from Multilevel Multinomial Logistic regression models with random census tract effect.

	Model 1	Model 2§	Model 3§§	Model 4+	Model 5++
All study participants
Log Likelihood	−1802.21	−1632.09	−1488.87	−1625.39	−1479.83
Association between increasing NSEP quartile and prevalent diabetes status - OR (95%CI)
Pre-diabetes	0.90 (0.73, 1.13)	0.92 (0.73, 1.15)	0.90 (0.71, 1.14)	0.92 (0.73, 1.15)	0.90 (0.72, 1.14)
Diabetes	0.73 (0.61, 0.88)**	0.73 (0.60, 0.89)**	0.76 (0.61, 0.93)**	0.74 (0.61, 0.89)**	0.76 (0.62, 0.94)*
US-born study participants only
Log Likelihood	−895.75	−826.98	−755.80	−818.57	−745.24
Association between increasing NSEP quartile and prevalent diabetes status - OR (95%CI)
Pre-diabetes	1.09 (0.80, 1.48)	1.14 (0.83, 1.57)	1.14 (0.82, 1.59)	1.13 (0.82, 1.56)	1.15 (0.83, 1.60)
Diabetes	0.68 (0.53, 0.88)**	0.73 (0.55, 0.95)*	0.79 (0.59, 1.05)	0.73 (0.56, 0.96)*	0.80 (0.60, 1.07)

^§Model 2 adjusted for BMI.

^§§Model 3 adjusted for BMI, age, gender, education, physical activity, CESD, HTN, CVD.

⁺Model 4 adjusted for waist circumference.

⁺⁺Model 5 adjusted for waist circumference gender, education, physical activity, CESD, HTN, CVD.

^*p-value < 0.05,

^**p-value < 0.01,

^***p-value < 0.001.