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Table 4 Effects of physical activity intervention program on cardiovascular health and on HRQoL in hypertensive subjects

From: Physical activity, cardiovascular health, quality of life and blood pressure control in hypertensive subjects: randomized clinical trial

Cardiovascular health
  β SE p  
Model 1. CVD risk (score)
 PA intervention (no, yes) −1.19 0.52 0.024 R2C × 100 = 49.8%; F18,219 = 13.20; p = 0.001
 Gender (men, women) − 1.07 0.49 0.032
 Controlled BP at Baseline (no, yes) −1.01 0.45 0.018
 Baseline cardiovascular risk (score) 0.64 0.06 0.001
Model 2. Systolic blood pressure (mmHg)
 PA intervention (no, yes) −8.68 2.54 0.001 R2C × 100 = 21.7%; F18,219 = 5.38; p = 0.001
 Smoking (no, yes) 15.44 4.57 0.001
 Baseline systolic blood pressure (mmHg) 0.22 0.10 0.036
HRQoL
  β SE p  
Physical component of HRQoL
Model 3. Summary (score)
 PA intervention (no, yes) 5.00 1.41 0.001 R2C × 100 = 37.5%; F18,219 = 8.55; p = 0.001
 Comorbidity (n) −1.22 0.54 0.001  
 Summary at baseline (score) 0.44 0.67 0.001  
Model 4. Physical function (score)
 PA intervention (no, yes) 14.62 2.80 0.001 R2C × 100 = 47.1%; F18,219 = 13.14; p = 0.001
 Physical function at baseline (score) 0.42 0.05 0.001
Model 5. Role physical (score)
 PA intervention (no, yes) 13.59 2.80 0.001 R2C × 100 = 28.2%; F19,217 = 5.83; p = 0.001
 Gender (men, women) −18.64 6.48 0.001
 Comorbidity (n) −7.40 2.29 0.001
 Role physical at baseline (score) 0.27 0.06 0.001
Model 6. Bodily pain (score)
 PA intervention (no, yes) 10.84 4.48 0.016 R2C × 100 = 28.7%; F18,219 = 5.83 p = 0.001
 Bodily pain at baseline (score) 0.43 0.66 0.001
Model 7. General health (score)
 PA intervention (no, yes) 6.56 2.54 0.011 R2C X 100 = 46.5%; F18,220 = 12.82 p = 0.001
 Comorbidity (n) −2.40 0.06 0.021
 General health at baseline (score) 0.65 0.06 0.001
Mental component of HRQoL
Model 8. Vitality (score)
 PA intervention (no, yes) 4.45 2.93 0.050 R2C X 100 = 49.6%; F18,220 = 14.62 p = 0.001
 Vitality at baseline (score) 0.64 0.05 0.001
  1. PA: Physical activity. CVD: cardiovascular disease. Multiple Linear Regression models adjusted for age (years), gender (men = 0, women = 1), social class (DUMMY variables, 0 = reference), 5 Primary Care Centers (DUMMY variables, 0 = reference), IMC (kg/m2), smoking (no = 0, yes = 1), controlled BP at baseline (no = 0, yes = 1), comorbidity (n = number of chronic disease), dependent variable of each model at baseline. Only significant models are shown