Related Experiment Video
Updated: Sep 10, 2025

Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass
Published on: July 14, 2023
Statistical evaluation of body composition and aerobic/anaerobic power in young adults with generalized joint
Ayse Yildiz1, Ramazan Yildiz2, Onur Camli3
1Department of Physical Therapy and Rehabilitation, Faculty of Health Sciences, Erzurum Technical University, Erzurum, Turkey. ayse.yildiz@erzurum.edu.tr.
Background:
Generalized joint hypermobility (GJH) is a highly prevalent condition that affects a person's exercise tolerance and is frequently associated with joint injuries. This study aimed to evaluate body composition and aerobic/ anaerobic power in young adults with asymptomatic GJH.
Methods:
Sixty university students aged 18-25 years (30 with GJH, 30 controls) participated in the study. GJH was defined using a Beighton score ≥ 5. Body composition was assessed using the Tanita BC-601 device. Aerobic power was measured with the shuttle run test, while anaerobic power was calculated using vertical jump height and the Lewis Nomogram formula. Analysis of covariance (ANCOVA) was applied to control for age and gender effects.
Results:
ANCOVA results revealed statistically significant differences between groups in mineral percentage (partial η²ₚ = 0.093, p =.020) and aerobic power (partial η²ₚ = 0.256, p <.001) after adjusting for age and gender. No significant group differences were found in other body composition variables or anaerobic power (p >.05). Gender significantly affected lean mass, muscle mass, fat percentage, and aerobic and anaerobic power (p <.05).
Conclusions:
The study demonstrated that GJH has a distinct and independent impact on aerobic capacity. Additionally, mineral percentage differences regarding body composition were noted between groups.
Clinical Trial Number:
Not applicable.
More Related Videos
07:22Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
Published on: March 7, 2025
07:43In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
Published on: July 2, 2021
Related Concept Videos
One-Way ANOVA
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA: Unequal Sample Sizes
Changes in the Appendicular Skeleton with Age
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...