Evidence map›Paper›PMID 40808038›Full record

Trial reportSensors (Basel, Switzerland)2025

Effects of Compression Pants with Different Pressure Levels on Anaerobic Performance and Post-Exercise Physiological Recovery: Randomized Crossover Trial.

Qinlong Li, Kaixuan Che, Wenlang Yu, Wenda Song, Yue Zhou

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Sensors (Basel, Switzerland), 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

5 authors.

Qinlong LiDepartment of Exercise Physiology, Exercise Science School, Beijing Sport University, Beijing 100084, China.ORCID 0000-0001-5989-8968
Kaixuan CheDepartment of Exercise Biochemistry, Exercise Science School, Beijing Sport University, Beijing 100084, China.
Wenlang YuDepartment of Physical Fitness and Health, Exercise Science School, Beijing Sport University, Beijing 100084, China.
Wenda SongDepartment of Exercise Physiology, Exercise Science School, Beijing Sport University, Beijing 100084, China.
Yue ZhouDepartment of Exercise Physiology, Exercise Science School, Beijing Sport University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compression pants, as functional sportswear providing external pressure, are widely used to enhance athletic performance and accelerate recovery. However, systematic investigations into their effectiveness during anaerobic exercise and the impact of different pressure levels on performance and post-exercise recovery remain limited. This randomized crossover controlled trial recruited 20 healthy male university students to compare the effects of four garment conditions: non-compressive pants (NCP), moderate-pressure compression pants (MCP), high-pressure compression pants (HCP), and ultra-high-pressure compression pants (UHCP). Anaerobic performance was assessed through vertical jump, agility tests, and the Wingate anaerobic test, with indicators including time at peak power (TPP), peak power (PP), average power (AP), minimum power (MP), power drop (PD), and total energy produced (TEP). Post-exercise blood lactate concentrations and heart rate responses were also monitored. The results showed that both HCP and UHCP significantly improved vertical jump height (

Indexed as

Athletic PerformanceExerciseAdultCross-Over StudiesExercise TestHeart RateHumansLactic AcidMalePressureYoung AdultLactic Acidanaerobic performancecompression pantslower limb musclespost-exercise recovery

Identifiers

PMID40808038
PMCPMC12349599

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.