Evidence map›Paper›PMID 41221097›Full record

ArticleFrontiers in sports and active living2025

Case Report: Constraint led strength and conditioning for Paralympic throwers with skeletal dysplasia.

Lawrence W Judge, Exal Garcia-Carrillo

Abstract readCase Reports
In one paragraph

Article in Frontiers in sports and active living, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Lawrence W JudgeMarieb College of Health & Human Services, Florida Gulf Coast University, Fort Meyers, FL, United States.
Exal Garcia-CarrilloDepartment of Physical Activity Sciences, Universidad de Los Lagos, Osorno, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Paralympic athletes with skeletal dysplasia (SD) require specialized strength and conditioning approaches due to unique anthropometric characteristics. This study examines how a constraints-led model optimizes training in an elite shot-putter with short stature. Methods: A case study of a F41 shot-put Paralympic medalist (height: 147 cm; body-mass: 72 kg) through biomechanical analysis and training programming. The intervention combined: modified resistance training addressing joint instability, sport-specific plyometrics adapted for shorter limbs, and environmental adaptations for equipment accessibility. Performance metrics included throwing distance, strength-to-mass ratio, and kinematic measurements of shot-put release. Results: Implementation yielded a 13.88 m competition throw (Tokyo 2021 Paralympics), with maintained body fat of 12%-14%. Results were achieved without training-related injuries, highlighting the model's efficacy in balancing performance enhancement with joint preservation. Conclusions: A constraints-based approach to strength and conditioning, combined with dynamic periodization and a comprehensive support system, provides an adjustable framework for optimizing performance in Paralympic athletes with SD. This multifaceted approach ensures that both physical and psychological demands are met, enabling sustainable athletic development while accounting for the unique biomechanical and physiological characteristics of athletes with SD. Future research should focus upon refining the application of these principles in diverse adaptive sports to further enhance performance outcomes and reduce injury risks.

Indexed as

adaptive sportsathletic performancedisabled personsmental healthpara-athletespsychological resilienceresistance trainingsports for persons with disabilities

Identifiers

PMID41221097
PMCPMC12598508

What OpenQuestion holds

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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.