2023 Student Research Conference:
36th Annual Student Research Conference

Accuracy of a 2-Load Equation to Predict 1RM Bench Press in Women Athletes


Macy N. Taylor* and Callie L. Unrein
Dr. Jerry Mayhew, Faculty Mentor

Repetitions-to-fatigue (RTF) equations are popular for estimating one-repetition maximum (1RM) bench press performance. Most prediction equations have used a single-load approach to predict 1RM. However, the efficacy of using a 2-load approach has received little attention. The purpose of this study was to evaluate the accuracy of 2-load equations compared to 1-load equations to predict 1RM bench press in college women athletes. Women athletes (n = 12) performed a 1RM during their off-season resistance training program and completed RTF in the
3-5RM and 7-10RM ranges on separate days. A 2-load equation with 1-repetition reduction (45.1 ± 4.3 kg) significantly underpredicted 1RM (47.0 ± 5.1 kg). A new no-repetition reduction approach accurately predicted 1RM (46.4 ± 4.6 kg) within ±2.2 kg (±4.7%) of actual 1RM. The
two-load RTF prediction equation without a repetition reduction appears to offer a more accurate estimate of 1RM bench press in women athletes than previous equations.

Keywords: Repetitions, 1 Rep max , Maximum, women, athlete

Topic(s):Exercise Science

Presentation Type: Poster Presentation

Session: 3-7
Location: Student Union Building Activities Room
Time: 3:00

Add to Custom Schedule

* Indicates the Student Presenter
   SRC Privacy Policy