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Accuracy of Prediction Equations to Calculate Maximum Strength

NCT06718699 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 120

Last updated 2026-01-29

No results posted yet for this study

Summary

Resistance exercise training (RT) is a key component of health related exercise programs. However, an accurate specification of RT load prescription is essential for effective and safe achievement of training aims. Proper specification of exercise intensity might be the most critical issue when designing RT protocols for adults. One repetition maximum tests (1RM) have been considered the "gold standard" of dynamic maximum strength evaluation. Although the argument of increased risk of injuries and adverse effects with 1RM testing in older people has been rejected by several studies , limited motivation to lift maximum loads, requirement for high test effort, time constraints, and interruption of the continuity of the training process aggravate the frequent application of 1RM tests particularly in non-athletic RT. 1RM prediction equations that use the load and number of repetitions completed to fatigue (RTF) to predict repetition maximum might be a reliable and feasible option to 1RM testing. Thus, the primary aims of this study were to evaluate the predictive accuracy of current RTF equations and to develop an equation that more accurately predicts 1RM from RTF tests.

Conditions

  • Healthy Aging

Interventions

OTHER

resistance exercise tests

One 1RM and three RTF tests (5-8RM, 9-12RM, 13-16RM) on seven resistance training devices

Sponsors & Collaborators

  • University of Erlangen-Nürnberg Medical School

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-12-02
Primary Completion
2026-08-31
Completion
2026-09-30

Countries

  • Germany

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06718699 on ClinicalTrials.gov