The Impact of Running-Based and Drop Jumping Interval Interventions on Cardiorespiratory Fitness and Anaerobic Power of Collegiate Volleyball Players: A Comparative Analysis of Inter-Individual Variability in the Adaptive Responses

This study compared inter-individual variability in the adaptive responses of cardiorespiratory fitness, anaerobic power, and motor abilities of male volleyball players to high-intensity interval training (HIIT) prescribed as repetitive drop jumps (interval jumping) and running-based intervals (interval running). Twenty-four collegiate volleyball players were equally randomized to two training groups executing 11 minutes of interval running or interval jumping during which they ran or repeated drop-jumps for 15 seconds, alternating with 15 seconds of passive recovery. Before and after the 6-week training period, aerobic fitness, cardiac function, and anaerobic power were evaluated using a graded exercise test, impedance cardiography, and a lower-body Wingate test, respectively. Additionally, linear speed, agility, and jumping tests determined motor abilities. Both interventions significantly enhanced maximum oxygen uptake (V̇O<sub>2max</sub>), velocity associated with V̇O<sub>2max</sub>, first and second ventilatory thresholds (VT<sub>1</sub> & VT<sub>2</sub>), maximal cardiac output (Q̇<sub>max</sub>), stroke volume (SV<sub>max</sub>), peak and average power output, vertical jump, change of direction, and linear sprint speed. Interval jumping group demonstrated a significantly greater improvement in squat jump (<i>p</i> = 0.001; 95% CI: 2.51-5.42) and countermovement jump (<i>p</i> = 0.001; 95% CI: 2.11-4.61) compared to interval running group. Conversely, interval running group elicited a greater enhancement in sprint speed (<i>p</i> = 0.002; 95% CI: 2.53-5.71) than interval jumping group. Examining the individual residual in the adaptive responses revealed that interval running induced more homogenized adaptations across individuals in VT<sub>1</sub> (<i>p</i> = 0.04; 95% CI: 0.03-1.33), Q̇<sub>max</sub> (<i>p</i> = 0.03; 95% CI: 0.04-1.64), SV<sub>max</sub> (<i>p</i> = 0.04; 95% CI: 0.02-1.75), and maximal sprint speed (<i>p</i> = 0.01; 95% CI: 0.72-1.95) in contrast to interval jumping. However, the uniformity of adaptations in countermovement jump in response to interval jumping surpassed that of interval running (<i>p</i> = 0.02; 95% CI: 0.08-1.32). Although both training modalities effectively improved the mentioned variables concurrently, tailoring the HIIT intervention to the reference intensity and training modality specific for each quality may enhance measured quality.

Authors

Institutions

Publication Details

Journal
Journal of Sports Science and Medicine
Published
2024-12-01
DOI
https://doi.org/10.52082/jssm.2024.863
Citations
2
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Running-Based and Drop Jumping Interval Interventions on Cardiorespiratory Fitness and Anaerobic Power of Collegiate Volleyball Players: A Comparative Analysis of Inter-Individual Variability in the Adaptive Responses

Minying Lu, Xuefeng Zhao
2 citations
Journal of Sports Science and Medicine
Sports Performance and Training
0.96
article

The Impact of Running-Based and Drop Jumping Interval Interventions on Cardiorespiratory Fitness and Anaerobic Power of Collegiate Volleyball Players: A Comparative Analysis of Inter-Individual Variability in the Adaptive Responses

Minying Lu, Xuefeng Zhao
article en
2 citations

Abstract

This study compared inter-individual variability in the adaptive responses of cardiorespiratory fitness, anaerobic power, and motor abilities of male volleyball players to high-intensity interval training (HIIT) prescribed as repetitive drop jumps (interval jumping) and running-based intervals (interval running). Twenty-four collegiate volleyball players were equally randomized to two training groups executing 11 minutes of interval running or interval jumping during which they ran or repeated drop-jumps for 15 seconds, alternating with 15 seconds of passive recovery. Before and after the 6-week training period, aerobic fitness, cardiac function, and anaerobic power were evaluated using a graded exercise test, impedance cardiography, and a lower-body Wingate test, respectively. Additionally, linear speed, agility, and jumping tests determined motor abilities. Both interventions significantly enhanced maximum oxygen uptake (V̇O<sub>2max</sub>), velocity associated with V̇O<sub>2max</sub>, first and second ventilatory thresholds (VT<sub>1</sub> & VT<sub>2</sub>), maximal cardiac output (Q̇<sub>max</sub>), stroke volume (SV<sub>max</sub>), peak and average power output, vertical jump, change of direction, and linear sprint speed. Interval jumping group demonstrated a significantly greater improvement in squat jump (<i>p</i> = 0.001; 95% CI: 2.51-5.42) and countermovement jump (<i>p</i> = 0.001; 95% CI: 2.11-4.61) compared to interval running group. Conversely, interval running group elicited a greater enhancement in sprint speed (<i>p</i> = 0.002; 95% CI: 2.53-5.71) than interval jumping group. Examining the individual residual in the adaptive responses revealed that interval running induced more homogenized adaptations across individuals in VT<sub>1</sub> (<i>p</i> = 0.04; 95% CI: 0.03-1.33), Q̇<sub>max</sub> (<i>p</i> = 0.03; 95% CI: 0.04-1.64), SV<sub>max</sub> (<i>p</i> = 0.04; 95% CI: 0.02-1.75), and maximal sprint speed (<i>p</i> = 0.01; 95% CI: 0.72-1.95) in contrast to interval jumping. However, the uniformity of adaptations in countermovement jump in response to interval jumping surpassed that of interval running (<i>p</i> = 0.02; 95% CI: 0.08-1.32). Although both training modalities effectively improved the mentioned variables concurrently, tailoring the HIIT intervention to the reference intensity and training modality specific for each quality may enhance measured quality.

Journal of Sports Science and MedicineVol. 23(4)
Putian University (CN)
Openalex Percentile: Top 25%
Sports Performance and Training
0.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.