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February 8, 2026Scientific Reports0 citationsOpen Access

Differential effects of attentional focus on drop jump performance with implications for primary level coaches

JZJiacheng ZhangLLLuming LiuXYXue Qing Yang

Key Points

  • The research aims to explore how different focuses of attention impact drop jump performance metrics in male athletes.
  • Twenty male athletes performed drop jumps under varying conditions of attentional focus: internal, proximal external, and distal external.
  • A control trial was conducted for familiarization and effect size reference.
  • Ground reaction force data were measured to derive jump height, contact time, reactive strength index, vertical stiffness, and peak vertical ground reaction force.
  • One-way repeated-measures ANOVA and non-parametric procedures were used to analyze data; effect sizes were calculated relative to control.
  • Jump height and peak vertical ground reaction force differed significantly among attentional focus types, with proximal and distal external focus yielding better outcomes than internal focus.
  • Contact time was longer for proximal and distal external focus compared to internal focus.
  • Reactive strength index showed no significant differences across focus conditions, but improvements were noted relative to the control.
  • Vertical stiffness varied significantly, showing higher values for internal focus than both external focus conditions.

Abstract

To test how different foci of attention (FOA) acutely shape neuromechanical outputs in 45-cm drop jumps as instruction-based cues in settings without routine biomechanical monitoring. Twenty male athletes performed DJs under internal focus (IF), proximal external focus (PEF), and distal external focus (DEF). A no-cue Control (C) trial was completed for familiarization and as a descriptive reference for effect-size benchmarking. Ground reaction force data were used to derive jump height (JH), contact time (CT), reactive strength index (RSI), vertical stiffness (Kvert), and peak vertical ground reaction force (PvGRF). Variables meeting normality and homoscedasticity assumptions were analyzed using one-way repeated-measures ANOVA with Bonferroni-adjusted post hoc tests, whereas assumption violations were addressed using non-parametric repeated-measures procedures. Effect sizes (Cohen's d) were calculated relative to C. JH and PvGRF differed significantly across FOA conditions (both p < .001), with PEF and DEF higher than IF (JH: p = .036 and p < .001; PvGRF: p = .004 and p < .001). CT also differed across conditions (p = .001), with PEF and DEF longer than IF (p = .035 and p = .002). RSI showed no significant differences among IF, PEF, and DEF (p = .819), whereas Kvert differed significantly (p < .001), with IF higher than PEF (p = .022) and DEF (p < .001). Relative to the descriptive control reference, effect sizes indicated improvements across outcomes, including RSI (IF d = 0.892; PEF d = 0.759; DEF d = 0.813). FOA was associated with distinct acute drop-jump profiles across IF, PEF, and DEF. DEF and PEF tended to align with a height/force-oriented signature (higher JH and PvGRF), whereas IF aligned with a faster-contact, stiffer rebound signature (shorter CT and higher Kvert). RSI did not differ significantly among IF, PEF, and DEF, although effect-size benchmarking relative to the descriptive control reference suggested improvements across FOA conditions. Overall, these findings support targeted cueing as a practical means to steer DJ execution toward intended performance characteristics when instrumented monitoring is unavailable.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/698828770fc35cd7a8847e96https://doi.org/10.1038/s41598-026-37718-1
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