Evidence map›Paper›PMID 40666110›Full record

ArticleFrontiers in physiology2025

Additional jump interval training as a form of warm-up on enhancing aerobic capacity, muscular strength, and power in female dancers: a cohort study.

Qianqian Sun, Mingzhu Wu, Yike Ni

Abstract read
In one paragraph

Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Qianqian SunDepartment of Public Teaching, Guangzhou Panyu Polytechnic, Guangzhou, China.
Mingzhu WuGdansk University of Physical Education and Sport, Gdańsk, Poland.
Yike NiGuangzhou Sport University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to compare the effects of jump interval training (JIT) as a supplement to a warm-up with a control group that continued their regular warm-up routine, on the development of aerobic capacity, maximal isometric strength, and vertical jump power in female dancers over a 6-month period. Methods: Fifty-five female sport dancers (aged 16.2 ± 0.9 years) were monitored throughout the 6 months, with evaluations conducted at baseline, 3 months, and 6 months. Aerobic capacity was assessed using the multistage fitness test (MFT), while muscular assessments included squat jump (SJ), countermovement jump (CMJ), and isometric mid-thigh pull test (IMTP) measured on force platforms. The participants were analyzed into two cohorts: one group adhered to the JIT warm-up, which involved three sets of 30-s bilateral squat jumps during the potentiation phase, while the control group (TWU) performed ballistic dance movements emphasizing explosive techniques, such as rapid leaps and forceful limb movements, in the same phase. Results: After 6-months, significant differences were observed between groups in IMTP ( Conclusion: The study concludes that incorporating JIT exercises into warm-up routines significantly enhances aerobic capacity and muscular performance over 6 months, with early improvements in aerobic capacity and noticeable benefits in muscular performance such as SJ peak force, CMJ peak power, and IMTP peak force after three and 6 months. This study contributes to the field as one of the few that demonstrates the relevance and practicality of integrating microdosing (i.e., small but intensive JIT sessions throughout the week) into dance warm-up routines.

Indexed as

high-intensity interval trainingmicrodosingphysical exercisephysical fitnessyouth

Identifiers

PMID40666110
PMCPMC12259603

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.