{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T15:54:31Z","timestamp":1792598071311,"version":"4.5.0"},"reference-count":51,"publisher":"Human Kinetics","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,11,1]]},"abstract":"<jats:p>\n                    <jats:bold>\n                      <jats:italic>Background<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    Establishing whether heavy dynamic or isometric strength measures better explain high-velocity performance is critical for guiding assessment strategies, prioritizing training targets, and optimizing the transfer of physical development to sport-specific outcomes.\n                    <jats:bold>\n                      <jats:italic>Purpose<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    The objectives of this investigation were to systematically review and meta-analyze the literature to compare heavy dynamic strength versus isometric strength measures in their associations with jump, sprint, and agility performance.\n                    <jats:bold>\n                      <jats:italic>Methods<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    A systematic search was conducted in accordance with PRISMA guidelines through April 2025. Eligible studies reported correlations between strength measures and high-velocity performance outcomes. Correlation coefficients were converted to Fisher\n                    <jats:italic>z<\/jats:italic>\n                    values to standardize effects, which were then analyzed using a multivariate meta-analysis framework.\n                    <jats:bold>\n                      <jats:italic>Results<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    Seven studies containing 22 heavy dynamic strength versus isometric strength comparisons and 299 participants were included in the final analysis. Heavy dynamic strength measures showed a small but significant overall advantage over isometric tests (\n                    <jats:italic>z<\/jats:italic>\n                    \u2009=\u20090.18, 95% CI [0.02 to 0.34]). By high-velocity task, fast strength (eg, measures derived from the countermovement jump) outcomes favored dynamic (\n                    <jats:italic>z<\/jats:italic>\n                    \u2009=\u20090.25, 95% CI [0.03 to 0.47];\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u200985.9%), while reactive strength (eg, drop jump reactive strength index) and change of direction\/agility showed no differences, the latter with no heterogeneity (\n                    <jats:italic>I<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u20090%).\n                    <jats:bold>\n                      <jats:italic>Conclusions<\/jats:italic>\n                    <\/jats:bold>\n                    <jats:italic>:<\/jats:italic>\n                    Heavy dynamic strength tests demonstrate a somewhat stronger association with high-velocity performance than isometric measures, with effects varying by outcome type. These findings support a multidimensional approach to athlete profiling and underscore the value of both dynamic and isometric strength assessments depending on the context.\n                  <\/jats:p>","DOI":"10.1123\/ijspp.2025-0623","type":"journal-article","created":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T01:27:14Z","timestamp":1785893234000},"page":"1222-1232","source":"Crossref","is-referenced-by-count":0,"title":["Explaining High-Velocity Movement: Do Isometric or Heavy Strength Measures Show Stronger Associations? 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