Short answer

Designers of strength assessment tools and training platforms can rely on the stability of 1RM testing results, focusing on accurate measurement and exercise-specific performance interpretation.

Field: Human Factors
Source: Journal of Sports Science and Medicine (2025)
Method: Repeated Measures Design
Evidence: Strong effect

Performing multiple maximal strength tests (1RM) does not significantly alter an individual's strength or movement velocity, suggesting these tests are reliable for assessing baseline performance without confounding training effects. This human factors research insight is drawn from a 2025 study published in Journal of Sports Science and Medicine. Using Repeated measures design, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers of strength assessment tools and training platforms can rely on the stability of 1RM testing results, focusing on accurate measurement and exercise-specific performance interpretation.

Study

Human FactorsNew This WeekStrong effect

Repeated 1RM Testing Does Not Induce Strength or Velocity Adaptations

Journal of Sports Science and Medicine · 2025

Key Findings

01No significant training-induced adaptations were observed for 1RM or MCV at 1RM across testing sessions.
02VL-Slope and PP-Position remained stable, indicating no systematic changes over time.
03Exercise-specific differences were noted, with higher absolute loads and velocities in the squat compared to the bench press.
04Peak power output occurs at a higher relative load for lower-body exercises (squat) than upper-body exercises (bench press).

Application

Design takeaway

Designers of strength assessment tools and training platforms can rely on the stability of 1RM testing results, focusing on accurate measurement and exercise-specific performance interpretation.

How to apply

When developing strength training equipment or software, ensure that the assessment protocols are robust and that the interpretation of results accounts for inherent differences in biomechanics between different exercise types.

Project actions

01When designing a strength assessment tool, ensure the testing protocol is standardized and repeatable.
02Consider how to present exercise-specific performance data to users, highlighting differences in force-velocity characteristics.

Method & Evidence

AimTo investigate whether repeated maximal strength (1RM) testing sessions lead to significant changes in strength, movement velocity, or the load-velocity profile.

MethodRepeated Measures Design

ProcedureParticipants underwent multiple sessions of 1RM testing for specific exercises. Strength, mean concentric velocity (MCV) at 1RM, and load-velocity profile parameters (VL-Slope, PP-Position) were measured at each session.

ContextSports science and strength and conditioning

Variables

IVNumber of 1RM testing sessions

DVStrength (1RM), Mean Concentric Velocity (MCV) at 1RM, VL-Slope, PP-Position

CVExercise type, rest periods between sets and sessions, participant training status, testing equipment.

Strengths & Limitations

Strengths

+Utilized a repeated measures design to control for individual differences.
+Investigated multiple relevant performance variables (strength, velocity, load-velocity profile).

Limitations

The study participants were likely trained individuals, so the results might differ for beginners. Also, the specific exercises chosen might not represent all possible movements.

Reliability & validity

The study's repeated measures design enhances internal validity by controlling for individual differences. The stability of the measured variables across sessions suggests good test-retest reliability for 1RM and load-velocity profiling in this context.

Think critically

If repeated 1RM testing doesn't cause adaptations, what other factors might influence performance metrics in a design project, and how can these be controlled or accounted for?

Design Principles

"The reliability of diagnostic testing is paramount for accurate user assessment and effective intervention design."

This finding is crucial for designers of training equipment, performance tracking systems, and rehabilitation devices. It validates the use of 1RM testing as a diagnostic tool, allowing for accurate assessment of an individual's capabilities without concerns that the testing process itself is influencing the results.

What This Means for Your Design

Doing the same strength test many times won't make you stronger or change how fast you move. The tests are reliable for seeing your starting point, but remember that different exercises work differently.

How to use in your project

1.Reference this study when justifying the choice of 1RM testing as a reliable method for user assessment in your design project.
2.Use the findings to explain why your design's performance metrics are based on stable, non-adaptive testing procedures.

Add to My Project

Quick Cite

Paragraph starter

The reliability of maximal strength testing (1RM) is supported by research indicating that repeated testing sessions do not induce significant strength or velocity adaptations (Micke et al., 2025). This stability allows for accurate baseline user assessment in the design of strength-related technologies and training programs, ensuring that performance metrics are not confounded by the testing process itself.

Source

Journal of Sports Science and Medicine

Effects of Repeated 1RM Testing on Strength, Velocity, and Load-Velocity Profiling: A Repeated Measurement Trial

journal · 2025

View source

Questions About This Research

What does the research say about repeated 1rm testing does not induce strength or velocity adaptations?: Designers of strength assessment tools and training platforms can rely on the stability of 1RM testing results, focusing on accurate measurement and exercise-specific performance interpretation. Evidence: Journal of Sports Science and Medicine (2025).
Why does "Repeated 1RM Testing Does Not Induce Strength or Velocity Adaptations" matter for design?: This finding is crucial for designers of training equipment, performance tracking systems, and rehabilitation devices. It validates the use of 1RM testing as a diagnostic tool, allowing for accurate assessment of an individual's capabilities without concerns that the testing process itself is influencing the results.
How can designers apply this research?: Designers of strength assessment tools and training platforms can rely on the stability of 1RM testing results, focusing on accurate measurement and exercise-specific performance interpretation.
What were the main findings?: No significant training-induced adaptations were observed for 1RM or MCV at 1RM across testing sessions.. VL-Slope and PP-Position remained stable, indicating no systematic changes over time.. Exercise-specific differences were noted, with higher absolute loads and velocities in the squat compared to the bench press.. Peak power output occurs at a higher relative load for lower-body exercises (squat) than upper-body exercises (bench press).
What research method was used?: Repeated Measures Design.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2025 journal from Journal of Sports Science and Medicine.
What should I do differently in my next project?: When developing strength training equipment or software, ensure that the assessment protocols are robust and that the interpretation of results accounts for inherent differences in biomechanics between different exercise types.
What are the limitations?: The study focused on specific exercises and may not generalize to all types of physical activity or resistance training modalities.