In 2011, Cornelissen and colleagues conducted a meta-analysis on the BP lowering effects of resistance training[48]. Pooling data from 28 randomized controlled trials, resistance training resulted in a net decrease of 3.9 mmHg and 3.9 mmHg for systolic and diastolic BP, respectively, in normotensive/prehypertensive participants. In their updated meta-analysis, Cornelissen and colleagues stratified the effects of resistance training on BP according to BP subgroup (e.g. normotensive or prehypertensive) and reported that the net effect of resistance training on BP was significant for systolic and diastolic BP among prehypertensives, but was only significant for diastolic BP among normotensives[45]. Recently, it has been argued by Rossi and colleagues that the results from Cornelissen et al. may have overestimated the effect sizes of resistance training on BP due to inclusion of studies in which BP was not the primary end point[49]. Conducting their own meta-analysis, Rossi et al. identified 11 randomized control trials wherein BP was the primary outcome. Among normotensives and prehypertensives they reported that the net effect of resistance training was significant for diastolic BP (net effect: −2.4 mmHg), but not systolic BP (net effect: −1.5 mmHg)[50]. Although these findings diverge in the net BP lowering effects of resistance training from the findings of Corenelissen and colleagues, they nonetheless are consistent in showing that, one, there is no detrimental effect of resistance training on BP as once previously proposed[51], and two, resistance training may be beneficial in eliciting reductions in diastolic BP amongst normotensives and prehypertensives. Contrary to the limited evidence from prospective studies, the data from randomized controlled trials do support a role for resistance training in the prevention of hypertension. Reasons for the discrepant evidence from prospective studies and randomized controlled trials are still unclear, but may, in part, be attributed to the limitations of current prospective studies including the use of self-report data[27] and multicollinearity among exposure variables[42].