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Table 2 Multiple linear regression analysis predicting metabolic syndrome (MetS)-related phenotypes while including LINE-1 methylation level ( LINE-1 %meth) in the predictive model

From: LINE-1 methylation in visceral adipose tissue of severely obese individuals is associated with metabolic syndrome status and related phenotypes

Dependent variables LINE-1%meth
N β (95% CI)model P value
Waist circumference (cm) 180 -0.51 (-1.33 to 0.32)A 0.23
Fasting glucose (mmol/l) 179 -0.04 (-0.08 to -0.01)B 0.03
Triglycerides (mmol/l) 179 0.01 (-0.04 to 0.06)B 0.64
High-density lipoprotein-cholesterol (mmol/l) 179 0.01 (-0.003 to 0.03)B 0.13
Systolic blood pressure (mmHg) 180 -0.71 (-1.55 to 0.13)B 0.10
Diastolic blood pressure (mmHg) 180 -0.65 (-1.26 to -0.05)B 0.03
MetS (n) 184 -0.04 (-0.06 to -0.01)A 0.004
  1. Only coefficients (β), 95% confidence intervals (95% CI) and P values accounted for by the independent variable LINE-1%meth levels are shown in the table. The coefficient β corresponds to the change in the dependent variable per unit change in LINE-1%meth, given that all the other variables in the model remain constant.
  2. Model A: LINE-1%meth, age, sex and smoking.
  3. Model B: LINE-1%meth, age, sex, smoking and waist circumference.