**■Figure 9**

**Systemic parameters used for the Multivariable analysis**

Systemic factors comprising 22 items were selected by cooperation of internal physicians.

1. Gender

2. Age

3. Body weight

4. Pulse rate

5. Blood pressure

6. RBC

7. Hb

8. Hematocrit (Blood bio-Chemical test data)

9. Adrenaline

10. Noradrenaline

11. Blood glucose level

12. Cholesterol

13. Triglyceride

14. Total protein

15. β-lipoprotein

16. HDL-cholesterol

17. Albumin

18. Albumin/globulin ratio

19. Ca

20. Na

21. Mg

22. K

**■Figure 10**

**Equation model for salivary secretion volume**

The equation models (General linear multiple regression model) showed that the “Contribution ratio” indicative of power of explanation and reliability was as high as 0.828. The multiple correlation coefficient indicating the compatibility between the actually determined values and the calculated values from the equation model was as high as 0.91; furthermore, the p value indicative of the statistical significance was as small as 0.0005. All of them suggest that the scientific credibility is extremely high. The fact that the dental factors are selected as the explanatory variables on the right-hand side means that teeth affect definitely the salivary secretion amount. Difference of signals such as (+) and (－) at the top of the factors according to teeth is to be noted. This indicates that kinds of teeth exert different influences.Salivary secretion volume=－7.62

+0.03 X Submaxillary second molar

+0.06 X Maxillary first bicuspid

－0.11 X Maxillary second bicuspid

+0.19 X Maxillary first molar

－0.15 X Maxillary second molar

+1.49 X Total protein amount

－2.59 X Albumin amount

+4.23 X Albumin/globulin ratio

+0.91 X Mg amount

+0.005 X Blood glucose level

－0.21 X K amount

+0.016 X Ht value

－0.043 X salivary protein concentration

Multiple correlation coefficient=0.91

Contribution ratio =0.828

P value＜0.0005

**■Figure 11**

**Equation model for salivary protein concentrations**

In this equation model concerning the protein concentrations,the contribution ratio, the multiple correlation coefficient and p value were favorable in the similar manners as those of the salivary secretion amount, indicating higher scientific credibility. These findings suggest that teeth provide definitive influences on the salivary protein concentrations.Salivary protein concentrations=－9.57

+1.06 X Maxillary canine

+1.97 X Submaxillary first bicuspid

－1.48 X Submaxillary second bicuspid

－1.13 X Submaxillary first molar

+0.03 X Blood glucose level

+0.0059 X Adrenaline amount

+4.08 X Mg amount

－2.19 X salivary secretion amount

Multiple correlation coefficient=0.89

Contribution ratio =0.79

P value＜0.0001

**■Figure 12**

**The values calculated by the equation model were well coincident with the actually determined values.**

In both the salivary secretion amount and the protein concentrations, the values calculated by the equation model were well coincident with the actually determined values. This proves that the credibility of the obtained equation model was scientifically high.

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