# Guidelines for Sport Compressive Garments Design: Finite Element Simulations Approach

**Authors:** Alessandro Cudicio, Marta Cogliati, Gianluca Rizzi

PMC · DOI: 10.3390/muscles4040042 · Muscles · 2025-10-09

## TL;DR

This study uses simulations to show that personalized, segmented compression garments work better than one-size-fits-all designs for optimal compression and comfort in sports.

## Contribution

The paper introduces a finite element approach to optimize compression garment design based on individual anatomical variations.

## Key findings

- One-piece compression garments struggle to maintain uniform pressure due to limb shape variations.
- Segmented designs with bilinear compression patterns perform better in targeted pressure application.
- Personalized compression strategies based on anthropometric data improve effectiveness and comfort.

## Abstract

Purpose: Despite significant attention being paid to compression garments (CG) in the sports field, there remains ongoing debate regarding their actual effectiveness in enhancing athletic performance and expediting post-exercise recovery. This article examines their various aspects, with a focus on CG design and the materials they are made of, aiming to analyze the importance of personalized compression strategies based on individual anthropometric measurements and non-linear compression designs. Methods: Using anthropometric analysis of 40 healthy participants, this study examines the morphological characteristics of the lower limb and their implications for CG design. Results: Measurements of limb length and circumferences revealed complex interactions among anatomical variables, emphasizing the need for customized and adaptable device design. Finite element simulations clarified the challenges in achieving uniform pressure gradients along the lower limb, highlighting the limitations of one-piece devices and suggesting tailored segmented designs for individual limb segments. Conclusion: The results demonstrate that one-piece devices often fail to provide optimal compression due to non-linear variations in limb dimensions. Conversely, segmented devices, particularly those with bilinear progression, exhibited superior performance in applying targeted compression across different limb segments. This more detailed approach to customization could significantly contribute to optimizing outcomes and user comfort.

## Full-text entities

- **Genes:** CTSG (cathepsin G) [NCBI Gene 1511] {aka CATG, CG}
- **Diseases:** venous leg ulcers (MESH:D014647), muscle fatigue (MESH:D005221), deep vein thrombosis (MESH:D020246), leg (MESH:D010264), pulmonary embolism (MESH:D011655), lymphedema (MESH:D008209), muscle pain (MESH:D063806), scars (MESH:D002921), muscle oscillation (MESH:D019042), injury to (MESH:D014947), swelling (MESH:D004487)
- **Chemicals:** CG (-), NO (MESH:D009569), Elastane (MESH:D011140), Nylon (MESH:D009757), oxygen (MESH:D010100)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12550921/full.md

## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12550921/full.md

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Source: https://tomesphere.com/paper/PMC12550921