Journal of bodywork and movement therapies · 2025
Simplifying strength assessment and prescription. Predictive model for biceps 1RM based on isometric dynamometry and biometric data: A pilot study.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
de la Lama Jose M, Lopez Ana, Gomez Adela
Аннотация
BACKGROUND: Estimating one-repetition maximum (1RM) is critical for safe and effective resistance training prescription, yet traditional testing can be time-consuming or contraindicated in some populations. This study aimed to develop a predictive model for biceps curl 1RM using biometric measures and handheld dynamometry.
METHODS: Thirty-one adults (15 trained and 16 sedentary) participated. Data collected included age, height, weight, sex, peak isometric elbow flexion force (via handheld dynamometer), and handgrip strength. Due to significant biometric differences between groups, statistical analysis focused on sedentary participants. Pearson correlation and linear regression were used to evaluate the relationship between 1RM and isometric strength.
RESULTS: Isometric biceps strength showed a strong correlation with 1RM (R = 0.8608). Linear regression demonstrated substantial predictive value (R2 = 0.74, p < 0.001). Trained participants exhibited significantly higher 1RM-to-isometric strength ratios compared to sedentary individuals (73.17 % vs. 52.93 %, p < 0.01).
CONCLUSION: Isometric elbow flexion force measured via handheld dynamometry is a strong predictor of biceps curl 1RM. These preliminary findings suggest its potential utility in guiding resistance training prescriptions, particularly in populations where maximal testing is impractical or unsafe.
METHODS: Thirty-one adults (15 trained and 16 sedentary) participated. Data collected included age, height, weight, sex, peak isometric elbow flexion force (via handheld dynamometer), and handgrip strength. Due to significant biometric differences between groups, statistical analysis focused on sedentary participants. Pearson correlation and linear regression were used to evaluate the relationship between 1RM and isometric strength.
RESULTS: Isometric biceps strength showed a strong correlation with 1RM (R = 0.8608). Linear regression demonstrated substantial predictive value (R2 = 0.74, p < 0.001). Trained participants exhibited significantly higher 1RM-to-isometric strength ratios compared to sedentary individuals (73.17 % vs. 52.93 %, p < 0.01).
CONCLUSION: Isometric elbow flexion force measured via handheld dynamometry is a strong predictor of biceps curl 1RM. These preliminary findings suggest its potential utility in guiding resistance training prescriptions, particularly in populations where maximal testing is impractical or unsafe.