Evidence map›Paper›PMID 39696376›Full record

ArticleBMC sports science, medicine & rehabilitation2024

Latent profile analysis of spinal deep muscle strength and physical fitness in elite Taekwondo athletes.

Jae-Hoon Lee, Taehwan Kim, Minchul Lee, Min-Seong Ha

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2024. 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. Article
  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

4 authors.

Jae-Hoon LeeLaboratory of Sports Conditioning: Nutrition Biochemistry and Neuroscience, Department of Sport Science, College of Arts and Sports, University of Seoul, 163 Seoulsiri-Pdaero, Dongdaemun-Gu, Seoul, 02504, Republic of Korea.
Taehwan KimDepartment of Sport Science, College of Arts and Sports, University of Seoul, 163 Seoulsiri-Pdaero, Dongdaemun-Gu, Seoul, 02504, Republic of Korea.
Minchul LeeDepartment of Sports Medicine, College of Health Science, CHA University, 120 Haeryong-Ro, Pocheon-Si, Gyeonggi-Do, 11160, Republic of Korea. mclee@cha.ac.kr.
Min-Seong HaLaboratory of Sports Conditioning: Nutrition Biochemistry and Neuroscience, Department of Sport Science, College of Arts and Sports, University of Seoul, 163 Seoulsiri-Pdaero, Dongdaemun-Gu, Seoul, 02504, Republic of Korea. haminseong@uos.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Taekwondo, core stability and physical fitness are vital for performance, with spinal deep muscles playing a key role. This study explored the relationship between spinal deep muscle strength and physical fitness in 104 adolescent Taekwondo athletes, using a cross-sectional design in a laboratory setting. Participants were classified into groups based on spinal muscle strength at various angles, measured with a Centaur 3D machine. Outcome measures included body composition (height, weight, BMI) and physical fitness (grip strength, back muscle strength, endurance, flexibility, balance, and leg strength). Latent profile analysis identified five profiles: G2 and G4 showed higher body weight and skeletal muscle mass, with G2 also having the highest grip, back, and leg strength. No significant relationship was found between spinal muscle strength and balance. The findings suggest spinal muscle strength and physical fitness do not always correlate, highlighting the need for further research to optimize training.

Indexed as

Latent profile analysisPhysical fitnessSpinal deep muscle strengthTaekwondo athletes

Identifiers

PMID39696376
PMCPMC11657334

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.