Table 3.

Logistic Regression Analysis With Energy Intake (kcal/kg/day) as a Dependent Variable^‡

Variable	Model 1*		Model 2†
	OR (95% CI)	P	OR (95% CI)	P
Tooth loss		0.03		0.010
Every five teeth lost	1.76 (1.06 to 2.92)		1.38 (1.01 to 2.19)
Aged >60 years	0.95 (0.59 to 1.97)	0.072	0.84 (0.63 to 1.14)	0.150
Males	0.65 (0.51 to 0.96)	0.010	0.91 (0.75 to 1.12)	0.259
Non-Hispanic black	0.93 (0.74 to 1.17)	0.735	0.93 (0.71 to 1.21)	0.640
Diabetes			1.51 (1.08 to 2.13)	0.016
BMI				0.001
Underweight			0.23 (0.07 to 0.7)
Overweight			1.49 (0.07 to 2.07)
Obese			3.43 (2.34 to 5.02)
Morbidly obese			4.25 (2.67 to 6.77)
CKD status				0.023
Stage 2A2			0.94 (0.62 to 1.42)
Stage 3A1			1.21 (0.87 to 1.69)
Stage 3A2			1.27 (0.64 to 2.52)
Stage 4A1			2.32 (1.05 to 5.12)
Stage 4A2			1.99 (1.01 to 4.77)
Smoking				0.052
Current			1.20 (0.87 to 1.67)
Former			0.86 (0.61 to 1.22)
Dentures				0.410
Full	1.39 (0.93 to 2.07)	0.125	1.17 (0.74 to 1.84)
Partial			0.90 (0.64 to 1.27)
Income				0.157
Medium			1.27 (0.84 to 1.92)
Low			1.37 (0.92 to 2.03)
Education <12 years			0.83 (0.62 to 1.10)	0.173

^*Adjusted for age, sex, and race.

^†Adjusted for age, sex, race, diabetes status, BMI, CKD status, smoking, denture status, education, and income.

^‡Number of missing teeth was a significant predictor of energy intake in all three models with crude OR: 1.78 (95% CI 1.78 to 2.95)