How were the studies combined?
Pooled effect size was calculated by assigning weights equal to the inverse of the total variance for net change in blood pressure. Bootstrap resampling (5,000 iterations) was used to estimate 95% confidence intervals around the mean effect size. A fixed-effect model was used because there was no statistically significant heterogeneity.
How were differences between studies investigated?
CA chi-squared test was used to test statistical heterogeneity across the studies. Subgroup analyses were conducted according to study characteristics (country, percent drop-out, study quality), physical characteristics of subjects (age, weight, percent fat, maximum oxygen consumption, initial blood pressure), assessment of blood pressure (position, instrument used) and training programme characteristics (length, frequency, intensity, duration, total minutes of training, mode, compliance).