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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: J Hypertens. 2015 Mar;33(3):473–481. doi: 10.1097/HJH.0000000000000429

Table 4.

Multiple Regression Model Describing Systolic Blood Pressure in the METS Cohorts*

B Coefficient 95% Confidence Interval p-value
Age (y) 0.45 0.34 0.55 <0.001
Sex** 1.40 −3.92 6.71 0.61
BMI (kg/m2) 0.34 0.14 0.55 0.001
Treatment for hypertension 12.8 9.83 15.85 <0.001
Current smoker 1.16 −0.49 2.80 0.17
Manual labor −0.49 −2.00 1.02 0.52
Education (y) −0.18 −0.42 0.06 0.15
Sites
 South Africa 9.66 2.53 16.79 <0.01
 Ghana −12.76 −21.85 −3.68 <0.01
 Jamaica −7.88 −16.05 0.28 0.06
 Seychelles −11.11 −19.86 −2.36 0.01
Interaction terms
 BMI X Sex −0.41 −0.60 −0.22 <0.001
 BMI X South Africa −0.22 −0.45 0.01 0.06
 BMI X Ghana 0.29 −0.05 0.62 0.10
 BMI X Jamaica 0.22 −0.06 0.50 0.12
 BMI X Seychelles 0.21 −0.08 0.51 0.16
Intercept 101.8 90.1 113.5 <0.001
*

21.2% of variance in systolic blood pressure in METS cohorts explained by this model (r2 =0.212)

**

Variable coding: men = 1, women = 2; self-reported treatment for hypertension = 1, no treatment = 0; current smoker = 1, non-smoker = 0; manual labor job = 1, non-manual labor job = 0