Skip to main content
. 2022 Jan 13;17(1):3. doi: 10.5334/gh.1088

Table 2.

Predictors of Hypertension from Multivariate Analysis Models with and without BMI.

* Table reports RR of hypertension among variables depicted above from modified Poisson regression with robust variance.

* Highlighted rows show differences between both models.


MODEL 1: WITH BMI MODEL 2: WITHOUT BMI


VARIABLE PREVALENCE RATIO (PR) 95% CI P-VALUE PREVALENCE RATIO 95% CI P-VALUE

Male Sex 1.22 1.12–1.34 <0.001 0.99 0.91–1.07 0.86

Community Type

    Agrarian Reference

    Fishing 1.38 1.24–1.53 <0.001 1.62 1.46–1.80 < 0.001

    Trading 1.07 0.97–1.18 0.150 1.12 1.01–1.24 0.020

Asset Based Measure (SES)

    Low Reference

    Low – Middle 0.97 0.86–1.10 0.61 1.04 0.92–1.18 0.51

    High – Middle 0.99 0.89–1.10 0.88 1.11 0.99–1.24 0.079

    Highest 1.02 0.90–1.15 0.76 1.23 1.09–1.38 0.001

Smoker (yes) 0.78 0.68–0.89 <0.001 0.74 0.65–0.84 < 0.001

Age (years) 1.03 1.02–1.04 <0.001 1.03 1.02–1.04 < 0.001

Body Mass Index (BMI) 1.06 1.05–1.07 <0.001

Alcohol Use (yes) 1.12 1.03–1.21 0.006 1.14 1.05–1.23 0.002

HIV Seropositive 0.85 0.77–0.93 0.001 0.79 0.71–0.87 < 0.001

Number of observations (N) = 9487
Akaike’s Information Criterion (AIC): 9861
Bayesian Information Criterion (BIC): 9946
Number of observations (N) = 9537
Akaike’s Information Criterion (AIC): 10057
Bayesian Information Criterion (BIC): 10136