Table 5

Association between non-metabolic variables (categorical) and prehypertension by race
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)

All data are presented in Odds Ratio (OR) and 95% confidence interval (CI) i.e. OR (95%CI).

a Adjusting for age and gender.

b Adjusting for age, gender, education status, income, smoking status, alcohol consumption.

α Significant results are bolded.

Chiang et al.

Chiang et al. BMC Public Health 2013 13:730   doi:10.1186/1471-2458-13-730

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