Table 4.

Univariate Logistic Regression Predicting the Development of Atherogenic Dyslipidemia in Subjects Without This Condition at Baseline

	OR per 1 SD Increment (95% CI)	P
Age	1.16 (0.85–1.58)	.36
Female	0.75 (0.48–1.71)	.90
BMI	1.44 (1.05–1.97)	.024
Waist circumference	1.41 (1.03–1.94)	.033
Moderate to heavy alcohol consumption	0.54 (0.23–1.27)	.16
Current smoking	1.91 (0.78–4.66)	.16
Moderate to vigorous physical activity	0.95 (0.46–1.96)	.89
Diabetes	1.46 (0.46–4.67)	.53
Hypertension	1.53 (0.77–3.07)	.23
Cardiovascular disease	1.14 (0.10–12.80)	.92
Systolic blood pressure	1.45 (1.06–1.98)	.022
Diastolic blood pressure	1.51 (1.09–2.10)	.015
Fasting plasma glucose	1.33 (0.97–1.82)	.08
2-h plasma glucose	1.19 (0.87–1.62)	.28
Fasting plasma insulin	1.41 (1.04–1.93)	.029
HOMA-IR	1.48 (1.06–2.00)	.019
Total cholesterol	1.62 (1.15–2.28)	.006
LDL cholesterol	2.29 (1.56–3.37)	<.001
Triglycerides	2.04 (1.45–2.87)	<.001
HDL cholesterola	0.23 (0.15–0.33)	<.001
Non-HDL cholesterol	2.97 (1.91–4.61)	<.001
SAT	1.48 (1.07–2.03)	.017
VAT	1.25 (0.92–1.70)	.15
Δ BMI	1.49 (1.07–2.08)	.019
Δ Waist circumference	1.23 (0.89–1.69)	.21
Δ SAT	1.19 (0.87–1.63)	.27
Δ VAT	1.47 (1.07–2.04)	.019

^aThe best fitting model of HDL cholesterol was nonlinear (HDL cholesterol)⁻², and the OR shown is for the comparison of 1.29 to 1.03 mmol/L.