Reliability, Device Agreement and Validity of Load–Velocity Profiles: A Systematic Review with Meta-analysis
Nina Claassen, Stanislav Dimitri Siegel, Mareike Sproll, Niklas Lebelt, Alyssa Virginia Bargende, Anne Marieke Fasold, Konstantin Warneke · 2026
Read Reliability, Device Agreement and Validity of Load–Velocity Profiles: A Systematic Review with Meta-analysis by Nina Claassen, Stanislav Dimitri Siegel, Mareike Sproll, Niklas Lebelt, Alyssa Virginia Bargende, Anne Marieke Fasold, Konstantin Warneke (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13542044.txt.
Description
Nina Claassen and co-authors review load-velocity profiling for strength prediction in a 2026 paper. Coaches estimate one-repetition maximum strength from how speed falls as load rises. Valid prediction demands reliable sensors and accurate models. Individual studies had given mixed signals on both.
The review splits into sensor checks and prediction model checks. Three databases were searched under a preregistered protocol. Sixty-three studies covered commercial velocity sensors. Thirty-eight more covered prediction models. Pooled validity and device agreement rated good to excellent. Day-to-day reliability also rated good to excellent overall. Sensor technology type moderated the results notably. Wide heterogeneity across studies tempers the averages. Quality was scored with an adapted standard tool. The authors give practitioners an updated evidence map for velocity-based training.
Catalog record
| CREATOR | Nina Claassen, Stanislav Dimitri Siegel, Mareike Sproll, Niklas Lebelt, Alyssa Virginia Bargende, Anne Marieke Fasold, Konstantin Warneke |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 76 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |