Table 6.

Logistic Regression Models for Severe Periodontitis Cases

	Models*
	1	2†	2A	3	3A	4‡	4A	5§	5A	6‖	6A	7¶	7A	8#	8A
Participant characteristics
Average age	X		X		X		X		X		X		X		X
Number of teeth	X		X		X		X		X		X		X		X
Dental insurance	X		X		X		X		X		X		X		X
Current needs	X		X		X		X	X	X		X	X	X		X
Current smoker	X		X		X		X		X		X		X		X
Diabetic diagnosis	X		X		X		X		X		X		X		X
Scale variables
CDC-AAP 1. Gum disease		X	X	X	X	X	X					X	X
CDC-AAP 2. Self-rating		X	X	X	X	X	X					X	X	X	X
CDC-AAP 3. Treatment		X	X	X	X	X	X	X	X	X	X			X	X
CDC-AAP 4. Tooth mobility		X	X	X	X					X	X			X	X
CDC-AAP 5. Bone loss		X	X	X	X	X	X	X	X	X	X
CDC-AAP 6. Appearance		X	X	X	X							X	X
CDC-AAP 7. Flossing		X	X			X	X
CDC-AAP 8. Mouthwash		X	X
Diagnosis								X	X	X	X			X	X
Odds ratio for scale		1.98	1.63	2.07	1.73	2.3	2.3	2.4	2.33	1.99	2.02	1.79	1.67	2.93	3.26
ROC/C-statistic	0.75	0.75	0.79	0.74	0.79	0.74	0.82	0.77	0.8	0.73	0.77	0.67	0.73	0.77	0.85

^*The letter A indicates the model was statistically adjusted for the selected variables.

^†CDC-AAP eight items only.

^‡Best reduced model as reported on in Eke et al.⁶

^§Scale item selected based on maximal sensitivity and specificity.

^‖Scale items selected to reflect periodontal history.

^¶Scale items selected to reflect current periodontal burden.

^#Scale items selected based on variable selection methods in a logistic model.