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Actively Recruiting

Phase Not Applicable
Age: 30Years - 65Years
All Genders
Healthy Volunteers
ID06727695

Comparing Technogym BioStrength Machines with Traditional Gym Equipment for Adults Aged 30 to 65 A 12-Week Randomized Study on Muscle Strength and Body Composition Improvements

Led by University of Graz · Updated on 2024-12-11

42

Participants Needed

1

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating the effectiveness of Technogyms BioStrength equipment compared to traditional strength training machines in adults aged 30 to 65 years. This study focuses on untrained, healthy individuals with less than six months of prior resistance training experience. It aims to determine if the BioStrength machines, which provide real-time feedback on movement, speed, and force, lead to better muscle strength, body composition, and training efficiency over a 12-week period. Participants are randomly assigned using a minimisation technique to either the BioStrength training group or the conventional strength training group, ensuring balance in age, gender, and baseline handgrip strength. Both groups attend three supervised training sessions per week, each lasting about 60 minutes, for 12 weeks. The BioStrength group uses advanced Technogym machines with personalized feedback, while the traditional group uses standard gym equipment without feedback technology. During the study, participants undergo assessments at baseline and after 12 weeks, including maximum strength tests 10-RM for leg press and chest press, handgrip strength measurement using a dynamometer, body composition analysis via bioimpedance, and circumference measurements of arms, legs, and waist. Researchers will analyze changes in these measures to compare the outcomes between groups. The study also collects customer satisfaction data and monitors participant safety throughout the intervention.

CONDITIONS

Brief Title

Effect of BioStrength Training on Muscle Strength and Satisfaction in Adults Aged 30-65

Research Team

M

Martin Atia

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