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Table 2 Linear regression models of relation of nontraditional lipid profiles to LV structural parameters

From: The impact of nontraditional lipid profiles on left ventricular geometric abnormalities in general Chinese population

Variables

LVMI

LVEDVI

Concentricity

LVWT

 

β

P value

β

P value

β

P value

β

P value

TC/HDL-C ratio

 Model 1

0.070

< 0.001

0.089

< 0.001

0.041

< 0.001

0.092

< 0.001

 Model 2

0.036

< 0.001

0.026

0.009

0.027

0.007

0.048

< 0.001

TG/HDL-C ratio

 Model 1

0.057

< 0.001

0.073

< 0.001

0.036

< 0.001

0.091

< 0.001

 Model 2

0.021

0.036

0.008

0.405

0.020

0.050

0.043

< 0.001

LDL-C/HDL-C ratio

 Model 1

0.073

< 0.001

0.085

< 0.001

0.046

< 0.001

0.090

< 0.001

 Model 2

0.037

< 0.001

0.018

0.071

0.031

0.003

0.043

< 0.001

Non-HDL-C

 Model 1

0.071

< 0.001

0.076

< 0.001

0.047

< 0.001

0.086

< 0.001

 Model 2

0.032

0.001

0.009

0.347

0.027

0.006

0.039

< 0.001

  1. Models constructed with LV structural parameters as dependent variables and nontraditional lipid profiles as independent variables. β coefficient is per 1 SD increase of the nontraditional lipid profile. Abbreviations: TC total cholesterol, TG triglyceride, LDL-C low-density lipoprotein cholesterol, HDL-C high-density lipoprotein cholesterol, Non-HDL-C non-high-density lipoprotein cholesterol, LVMI left ventricular mass index, LVEDVI left ventricular end-diastolic volume index, LVWT left ventricular wall thickness. Model 1: unadjusted; Model 2: adjusted for age, sex, race, education level, family income, diet score, smoking and drinking status, physical activity, obesity, hypertension, diabetes, history of cardiovascular disease, antihypertensive medication use, and antidiabetic medication use