Table 3: Prevalence ratios for hypertension, by location, BMI and smoking status*
VariableNo. of patientsUnadjusted prevalence ratioAdjusted prevalence ratio† (95% CI)
AllWith hypertensionWithout hypertension
Location
Urban188 07642 448146 6281.001.00 (ref)
Rural54 40314 49439 9091.211.24 (1.19–1.30)
Missing data7 8671 2386 6290.710.95 (0.82–1.11)
BMI
18–24 (normal)52 98911 28641 7031.001.00 (ref)
< 18 (underweight)7 7451 7955 9501.091.13 (0.95–1.35)
25–29 (overweight)51 43313 76937 6641.261.51 (1.38–1.64)
≥ 30 (obese)47 51014 78532 7251.462.42 (2.22–2.63)
Missing data90 66915 54575 1240.810.99 (0.91–1.08)
Smoking status
Never smoked62 02014 28447 7361.001.00 (ref)
Current smoker17 6293 67913 3080.911.01 (0.89–1.15)
Past smoker20 0246 71613 3081.461.94 (1.73–2.16)
Missing data150 67332 501118 1720.941.50 (1.40–1.61)

Note: CI = confidence interval, ref = reference category.
*Missing data included as a group in the models. Because of the large amount of missing data, especially for BMI and smoking status, we included people with missing data as a group in each variable when calculating prevalence ratios.
†Log-binomial regression. Along with 5 main effect variables (age, sex, location, BMI and smoking status), the model also included 8 interaction terms: age*sex, age*BMI, sex*BMI, age*smoking, sex*smoking, location*BMI, location*smoking, and BMI*smoking. Only the effects of location, BMI and smoking status are reported in this table.