Skip to main content
. 2022 Jun 10;10:800373. doi: 10.3389/fpubh.2022.800373

Table 5.

Multiple logistic regression models for the associations of C-Reactive Protein, insulin, and adiponectin with intermediate hyperglycemia and obesity using data from visit 3.

Intermediate hyperglycemia Obesity
OR P-value 95% CI OR P-value 95%CI
Salivary CRP 4·97 0·004* 1·66,14·90 4·53 <0·001* 2·4,8·5
Serum CRP 3·35 0·02* 1·13,9·93 14·75 <0·001* 7·35,29·60
Salivary insulin 2·64 0·03* 1·09,6·38 3·29 <0·001* 1·82,5·97
Serum insulin 5·93 0·003* 1·82,19·34 5·82 <0·001* 3·24,10·45
Salivary adiponectin 0·72 0·5 0·23,2·27 0·54 0·044* 0·3,0·9
Serum adiponectin 0·76 0·5 0·31,1·89 0·43 0·001* 0·26,0·71

N = 323.

The models were adjusted for age, sex, blood pressure, and school (residential areas).

Obesity was defined as BMIz> 2SD. Intermediate hyperglycemia was defined as hemoglobin A1c (HbA1c) between >5.6– <6.4%.

Salivary biomarker variables were stratified by 75th percentile cutoff. Serum biomarkers variables were stratified by 50th percentile cutoff (median).

OR, Odds Ratio; CI, 95% Confidence Interval; CRP, C-Reactive Protein.

*, P-Value <0.05.