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NCT06718699
Accuracy of Prediction Equations to Calculate Maximum Strength
trial testing resistance exercise tests in Healthy Aging in 120 participants. Enrolling by invitation.
31 August 2026
Quick facts
| Lead sponsor | University of Erlangen-Nürnberg Medical School |
|---|---|
| Status | ENROLLING BY INVITATION |
| Study type | OBSERVATIONAL |
| Enrollment | 120 |
| Start date | 2 December 2024 |
| Primary completion | 31 August 2026 |
| Estimated completion | 30 September 2026 |
| Sites | 1 location across Germany |
Drugs / interventions tested
- resistance exercise tests
Conditions studied
- Healthy Aging — all drugs for Healthy Aging →
Sponsor
University of Erlangen-Nürnberg Medical School
Who can join
Adults 18 to 85, any sex, with Healthy Aging. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06718699
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06718699 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by University of Erlangen-Nürnberg Medical School
- Last refreshed: 29 January 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06718699.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing