Using a traditional random-effects model, a recent metaanalysis by Herrod et al. (2018) reported statistically significant reductions in both resting systolic blood pressure (SBP) and diastolic blood pressure (DBP) as a result of aerobic, resistance, and combined aerobic and resistance exercise in adults with a mean age of 65 years and older. However, a recently proposed and alternative method, the inverse heterogeneity model (IVhet), has been shown to provide more robust findings. The purpose of this study was to apply the IVhet model to these previous meta-analytic findings. METHODS: Data from 44 randomized controlled trials representing 92 groups (48 exercise, 44 control) were pooled using the IVhet model. In addition, absolute and relative differences between the IVhet and random-effects model were calculated. Data were reported using the mean difference (exercise minus control) with nonoverlapping 95% confidence intervals considered statistically significant. RESULTS: Using the IVhet model, statistically significant reductions in resting blood pressure were found as a result of aerobic exercise (SBP,-4.7 mmHg, 95% CI,-7.7 to-1.8; DBP,-2.0 mmHg, 95% CI-3.13 to-0.89), SBP but not DBP for resistance training (SBP,-7.0 mmHg, 95% CI,-10.5 to-3.4; DBP,-1.2 mmHg, 95% CI-2.7 to 0.31), and both SBP and DBP for combined aerobic and resistance training (SBP,-5.5 mmHg, 95% CI,-8.3 to-2.7; DBP,-3.7 mmHg, 95% CI-4.8 to-2.7). When compared to the random-effects model, findings from four of the six mean differences in blood pressure were smaller, ranging from-0.82 to-0.19 mmHg (6.1% to 41.0%) while all six 95% CI were wider, ranging from 0.24 to 1.56 mmHg (11.5% to 36.8%). CONCLUSIONS: These findings suggest that with the exception of changes in DBP as a result of resistance training, exercise (aerobic, resistance, combined aerobic and resistance) reduces resting SBP and DBP in older adults. Importantly, these findings are generally smaller than those previously reported, a factor that could have practical implications. Future studies should consider using the IVhet model when conducting an aggregate data meta-analysis.