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Table 3 Association between metabolic variables (categorical) and prehypertension by race

From: Cardio-metabolic risk factors and prehypertension in persons without diabetes, hypertension, and cardiovascular disease

Chinese   
Metabolic variables α Model 1a Model 2b
High-blood glucose, 1.39 (1.09, 1.79) 1.42 (1.10, 1.83)
High-HbA1c 4.03 (1.17, 13.89) 3.50 (1.01, 12.18)
Low-HDL 1.04 (0.81, 1.34) 1.09 (0.83, 1.42)
High-triglycerides 1.26 (0.99, 1.61) 1.26 (0.98, 1.63)
High-LDL 1.56 (1.11, 2.19) 1.58 (1.11, 2.24)
High-body mass index 1.91 (1.40, 2.63) 1.86 (1.34, 2.56)
Malays   
Metabolic variables α Model 1a Model 2b
High-Blood glucose, 1.49 (1.02, 2.19) 1.53 (1.05, 2.24)
High-HbA1c 3.62 (1.26, 10.40) 3.72 (1.29, 10.75)
Low-HDL 1.23 (0.84, 1.79) 1.24 (0.85, 1.82)
High-triglycerides 2.09 (1.46, 2.99) 2.08 (1.45, 2.98)
High-LDL 1.39 (0.92, 2.12) 1.40 (0.91, 2.13)
High-body mass index 2.94 (2.09, 4.13) 2.96 (2.10, 4.18)
Indians   
Metabolic variables α Model 1a Model 2b
High-Blood glucose, 1.43 (1.08, 1.88) 1.49 (1.13, 1.98)
High-HbA1c 2.64 (1.29, 5.42) 2.79 (1.31, 5.94)
Low-HDL 0.94 (0.72, 1.24) 1.00 (0.76, 1.33)
High-triglycerides 1.30 (0.99, 1.71) 1.33 (1.00, 1.76)
High-LDL 1.50 (0.99, 2.28) 1.40 (0.91,2.15)
High-body mass index 1.69 (1.30, 2.20) 1.68 (1.28, 2.20)
  1. Please note that each metabolic variable are analysed as separate statistical models.
  2. All data are presented in Odds Ratio (OR) and 95% confidence interval (CI) i.e. OR (95%CI).
  3. a Adjusting for age and gender.
  4. b Adjusting for age, gender, education status, income, smoking status, alcohol consumption.
  5. α Significant results are bolded.