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Related Experiment Video

Updated: Jun 11, 2026

Muscle Imbalances: Testing and Training Functional Eccentric Hamstring Strength in Athletic Populations

Muscle Imbalances: Testing and Training Functional Eccentric Hamstring Strength in Athletic Populations

Published on: May 1, 2018

A regression method for strength comparisons in children.

B A MacWilliams¹, A L Shuckra, T P Mavor

¹Motion Analysis Laboratory, Shriners Hospitals for Children, Fairfax Rd. at Virginia St., Salt Lake City, UT 84103, USA. bmacwilliams@shrinenet.org

|July 2, 2010

Summary

This summary is machine-generated.

This study presents a new method to estimate children's lower extremity strength using height and BMI. The findings help predict muscle strength from simple body measurements.

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A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

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Published on: April 21, 2017

Area of Science:

Biomedical Engineering
Pediatric Physiology
Kinesiology

Background:

Estimating muscle strength in children is crucial for assessing development and health.
Current methods may be invasive or require specialized equipment.
Anthropometric data offers a non-invasive alternative for strength estimation.

Purpose of the Study:

To develop and validate a method for estimating lower extremity muscle strength in children using anthropometric data.
To identify the most effective anthropometric variables for strength prediction.
To demonstrate the clinical utility of the developed estimation method.

Main Methods:

Collected 10 lower extremity strength measures from 48 typically developing children using a handheld dynamometer.
Analyzed relationships between strength measures and seven anthropometric variables.
Employed regression analysis to model strength based on anthropometric predictors.

Main Results:

Height and Body Mass Index (BMI) were identified as the optimal combination of variables for modeling lower extremity muscle groups.
The proposed regression model explained 45-58% of the observed variance in muscle strength.
A clinical example demonstrated the practical application of the strength estimation method.

Conclusions:

Anthropometric data, specifically height and BMI, can effectively estimate lower extremity muscle strength in children.
This non-invasive method provides a valuable tool for pediatricians and researchers.
Further research can refine these models for broader clinical application.