Skip to main content

Table 3 Threshold effect analysis of HDL-C and hemoglobin using two-precise linear regression

From: The relationship between high-density lipoprotein cholesterol (HDL-C) and glycosylated hemoglobin in diabetic patients aged 20 or above: a cross-sectional study

Glycohemoglobin

Adjustedβ(95% CI), p

Age < 40 years

 Fitting by a standard linear model

−0.000 (− 0.017, 0.016) 0.9675

 Fitting by two precise linear model

  Inflection point

60

  HDL-C < 60 mg/dL

0.034 (0.015, 0.053) 0.0030

  HDL-C > 60 mg/dL

−0.082 (− 0.120, − 0.044) 0.0006

  Log-likelihood ratio

< 0.001

Age > =60 years

 Fitting by a standard linear model

−0.016 (− 0.029, − 0.002) 0.0268

 Fitting by two precise linear model

  Inflection point

60

  HDL-C < 60 mg/dL

−0.043 (− 0.066, − 0.020) 0.0006

  HDL-C > 60 mg/dL

0.012 (− 0.011, 0.035) 0.3178

  Log-likelihood ratio

0.001

Other race/ethnicity

 Fitting by a standard linear model

0.007 (−0.012, 0.027) 0.4770

 Fitting by two precise linear model

  Inflection point

60

  HDL-C < 60 mg/dL

−0.002 (− 0.040, 0.036) 0.9181

  HDL-C > 60 mg/dL

0.013 (−0.015, 0.041) 0.3823

  Log-likelihood ratio

0.378

  1. Sex, age, race/ethnicity, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, ALT, Cr, TG, TC, LDL, FDG, γGT, uric acid, insulin and lipid-lowering medications and anti-diabetic medications were adjusted.