Table 5 Potential candidate predictors of subclinical atherosclerosis in females (n = 46) assessed using univariable logistic regression.

From: Gender differences in fasting and postprandial metabolic traits predictive of subclinical atherosclerosis in an asymptomatic Chinese population

Category

Variables

Univariate logistic regression

Multivariable logistic regression

OR (95% CI)

P value

OR (95% CI)

P value

Insulin sensitivity

Diff Insulin Conc. t0–t60min

0.944 (0.903, 0.987)

0.0110

  

Diff Insulin Conc. t0–t90 min

0.926 (0.874, 0.981)

0.0088

  

Diff Insulin Conc. t60–t90 min

0.938 (0.882, 0.998)

0.0441

  

Diff Insulin Conc. t0–t120 min

0.952 (0.918, 0.988)

0.0098

  

Insulin Conc. t60 min

0.950 (0.912, 0.990)

0.0143

  

Insulin Conc. t90 min

0.925 (0.873, 0.980)

0.0087

  

Insulin Conc. t120 min

0.968 (0.941, 0.996)

0.0248

  

Cmax Insulin

0.968 (0.941, 0.995)

0.0210

  

Insulin iAUC t0–60 min

0.999 (0.998, 1.000)

0.0342

  

Insulin iAUC t0–90 min

0.999 (0.998, 1.000)

0.0077

  

Insulin iAUC t0–t120 min

0.999 (0.998, 1.000)

0.0055

  

Diff Insulin Conc. from fasting to Cmax

0.962 (0.932, 0.993)

0.0152

  

Diff C-peptide Conc. t0–t60 min

0.479 (0.267, 0.858)

0.0134

  

Diff C-peptide Conc. t0–t90 min

0.483 (0.277, 0.841)

0.0102

  

Diff C-peptide Conc. t0–t120 min

0.577 (0.372, 0.894)

0.0139

  

C-peptide Conc. t60 min

0.546 (0.335, 0.891)

0.0155

  

C-peptide Conc. t90 min

0.492 (0.283, 0.855)

0.0119

  

C-peptide Conc. t120 min

0.647 (0.447, 0.937)

0.0211

  

Cmax C-peptide

0.675 (0.473, 0.965)

0.0312

  

C-peptide iAUC t0–t60 min

0.984 (0.969, 0.998)

0.0303

  

C-peptide iAUC t0–t90 min

0.987 (0.976, 0.997)

0.0107

  

C-peptide iAUC t0–t120 min

0.989 (0.982, 0.997)

0.0078

0.974 (0.956, 0.993)

0.0070

C-peptide iAUC t0–t240 min

0.996 (0.993, 0.999)

0.0163

  

C-peptide iAUC t0–t360 min

0.998 (0.996, 1.000)

0.0436

  

Diff C-peptide Conc. from fasting to Cmax

0.592 (0.381, 0.921)

0.0201

  

Average C-peptide Conc. t10–t360 min

0.500 (0.263, 0.951)

0.0346

  

Diff Glucose Conc. t0–t10 min

0.050 (0.003, 0.781)

0.0327

  

Glucose Conc. t10 min

0.131 (0.020, 0.864)

0.0347

0.038 (0.002, 0.811)

0.0362

Glucose iAUC t0–t10 min

0.527 (0.259, 1.072)

0.0769

  

Triacylglycerol

Diff Triglyceride Conc. t0–t240 min

3.872 (1.181, 12.692)

0.0254

  

Diff Triglyceride Conc. t120–t240 min

6.944 (1.376, 35.039)

0.0189

  

Diff Triglyceride Conc. t60–t240 min

5.304 (1.449, 19.421)

0.0117

12.376 (1.734, 88.331)

0.0121

Diff Triglyceride Conc. t0–t360 min

2.891 (1.008, 8.295)

0.0483

  

Diff Triglyceride Conc. t60–t360 min

4.269 (1.268, 14.371)

0.0191

  

Demographic characteristics

LDL-C (Fasting)

2.410 (0.898, 6.465)

0.0807

  

HDL-C (Fasting)

6.750 (0.753, 60.512)

0.0879

  

Cholesterol (Fasting)

2.194 (0.957, 5.031)

0.0635

  
  1. Odds ratios are expressed per standard deviation increase in each continuous risk factor. Highlighted variables are independent risk predictors of subclinical atherosclerosis admitted by stepwise selection into the multivariable logistic regression models. OR, Odds ratio; CI, Confidence interval; iAUC, incremental area under curve; Cmax, Peak concentration; LDLC3, Low-density lipoprotein cholesterol; HDLC4, High-density lipoprotein cholesterol.
  2. Significant values are in bold.
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