Table 3.

Logistic regression models for type 2 diabetes in relation to anti-PFDN2 antibodies

Model adjustments	OR	(95% CI)	p value
Unadjusted model
Anti-PFDN2 antibody	1.33	(1.15, 1.54)	0.0001
Adjusted model 1:
Anti-PFDN2 antibody	1.30	(1.12, 1.50)	0.0006
Adjusted model 2:
Anti-PFDN2 antibody	1.30	(1.12, 1.50)	0.002
SAI heritage	1.33	(0.95, 1.87)	0.10
Adjusted model 3:
Anti-PFDN2 antibody	1.27	(1.09, 1.49)	0.003
SAI heritage	1.11	(0.77, 1.60)	0.58
BMI	2.31	(1.93, 2.76)	<0.0001
Adjusted model 4:
Anti-PFDN2 antibody	1.27	(1.09, 1.49)	0.003
SAI heritage	1.08	(0.75, 1.57)	0.68
BMI	2.31	(1.93, 2.76)	<0.0001
Protective SNP haplotype (rs9268852)	0.61	(0.40, 0.93)	0.02

Abbreviations: BMI, body mass index; SAI, Southwest American Indian; SNP, single-nucleotide polymorphism

Models 1–4 are also adjusted for age and sex

Anti-PFDN2 antibody and BMI were standardized to a normal distribution with SD = 1; ORs are given for a one SD difference in antibody level

n =796 with complete data for all variables