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Table 5 Association between non-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

Age > 60 years

2.20 (1.61, 3.01)

1.96 (1.41, 2.74)

Sex, male

1.87 (1.46, 2.38)

1.95 (1.45, 2.63)

Current smoker (Yes)

1.00 (0.80, 1.24)

0.99 (0.79, 1.23)

Alcohol intake (Yes)

0.85 (0.58, 1.26)

0.83 (0.56, 1.25)

Education, primary or below

1.40 (1.09, 1.79)

1.26 (0.96, 1.64)

Income, < $SGD1000

0.80 (0.67, 0.95)

0.90 (0.74, 1.10)

Malays

  

Metabolic variables α

Model 1a

Model 2b

Age > 60 years

2.41 (1.46, 3.98)

3.01 (1.75, 5.18)

Sex, male

1.10 (0.81, 1.50)

1.63 (1.05, 2.55)

Current smoker (Yes)

0.82 (0.62, 1.09)

0.79 (0.59, 1.06)

Alcohol intake (Yes)

0.41 (0.16, 1.03)

0.52 (0.20, 1.36)

Education, primary or below

0.96 (0.70, 1.32)

0.97 (0.69, 1.38)

Income, < $SGD1000

1.11 (0.85, 1.46)

1.11 (0.82, 1.49)

Indians

  

Metabolic variables α

Model 1a

Model 2b

Age > 60 years

1.84 (1.28, 2.65)

1.57 (1.07, 2.30)

Sex, male

1.48 (1.14, 1.91)

1.97 (1.39, 2.78)

Current smoker (Yes)

0.81 (0.64, 1.03)

0.78 (0.60, 1.00)

Alcohol intake (Yes)

1.38 (0.91, 2.11)

1.54 (1.00, 2.37)

Education, primary or below

1.70 (1.31, 2.22)

1.69 (1.27, 2.26)

Income, < $SGD1000

0.77 (0.64, 0.94)

0.89 (0.71, 1.11)

  1. All data are presented in Odds Ratio (OR) and 95% confidence interval (CI) i.e. OR (95%CI).
  2. a Adjusting for age and gender.
  3. b Adjusting for age, gender, education status, income, smoking status, alcohol consumption.
  4. α Significant results are bolded.