Skip to main content
. 2015 Jan 13;3(1):E76–E82. doi: 10.9778/cmajo.20140038

Table 3: Prevalence ratios for hypertension, by location, BMI and smoking status* .

Variable No. of patients
Unadjusted prevalence ratio Adjusted prevalence ratio† (95% CI)
All With hypertension Without hypertension
Location





Urban
188 076
42 448
146 628
1.00
1.00 (ref)
Rural
54 403
14 494
39 909
1.21
1.24 (1.19–1.30)
Missing data
7 867
1 238
6 629
0.71
0.95 (0.82–1.11)
BMI





18–24 (normal)
52 989
11 286
41 703
1.00
1.00 (ref)
< 18 (underweight)
7 745
1 795
5 950
1.09
1.13 (0.95–1.35)
25–29 (overweight)
51 433
13 769
37 664
1.26
1.51 (1.38–1.64)
≥ 30 (obese)
47 510
14 785
32 725
1.46
2.42 (2.22–2.63)
Missing data
90 669
15 545
75 124
0.81
0.99 (0.91–1.08)
Smoking status





Never smoked
62 020
14 284
47 736
1.00
1.00 (ref)
Current smoker
17 629
3 679
13 308
0.91
1.01 (0.89–1.15)
Past smoker
20 024
6 716
13 308
1.46
1.94 (1.73–2.16)
Missing data 150 673 32 501 118 172 0.94 1.50 (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.