Body composition and handgrip strength as predictors of maximal strength and maximum push-up and pull-up performance in resistance-trained young men

Authors

DOI:

https://doi.org/10.58524/jcss.v5i3.1463

Keywords:

Body composition, Grip strength, Maximum strength, One-repetition maximum, Resistance training

Abstract

Background: Muscular strength performance is influenced by multiple physiological factors, including body composition and isometric strength. However, the extent to which these variables predict exercise-specific maximal strength and body weight-based performance in resistance-trained individuals remains unclear.

Aims: This study aimed to investigate the relationships between body composition and handgrip strength and maximal strength and body weight-based performance, and to determine the predictive value of these variables in young men who regularly perform resistance training.

Methods: This cross-sectional correlational study included 71 resistance-trained men aged 19–25 years. Body fat percentage and muscle mass were assessed using bioelectrical impedance analysis, while isometric strength was evaluated using the dominant handgrip test. Performance outcomes included maximum push-ups, maximum pull-ups, bench press one-repetition maximum (1RM), lat pulldown 1RM, and deadlift 1RM. Relationships among variables were analyzed using Spearman correlation, and predictive effects were examined through multiple linear regression analysis.

Results: Handgrip strength was strongly and positively correlated with bench press, lat pulldown, and deadlift 1RM. Bench press 1RM was strongly associated with maximum push-ups, while lat pulldown 1RM was strongly associated with maximum pull-ups. Regression models explained 51.4% of the variance in maximum push-up performance, 70.2% in bench press 1RM, 79.6% in deadlift 1RM, and 57.5% in lat pulldown 1RM. Handgrip strength was a significant statistical predictor of maximum push-up, bench press, and lat pulldown 1RM performance. Higher muscle mass and lower body fat percentage were significantly associated with higher deadlift 1RM within the regression model, whereas handgrip strength was not an independent predictor of deadlift performance. The maximum pull-up regression model was not statistically significant. Individual regression coefficients, particularly those in the lat pulldown model, should be interpreted cautiously because of substantial shared variance among the predictors and possible suppression effects.

Conclusion: Strength performance in resistance-trained young men is task-specific and influenced by both body composition and isometric strength. Handgrip strength should be considered a practical complementary indicator rather than a substitute for exercise-specific maximal strength assessments.

References

Aderinola, T. B., Younesian, H., Whelan, D., Caulfield, B., & Ifrim, G. (2023). Quantifying jump height using markerless motion capture with a single smartphone. IEEE Open Journal of Engineering in Medicine and Biology, 4, 109-115. https://doi.org/10.1109/OJEMB.2023.3280127

Adlou, B., Wilburn, C., & Weimar, W. (2025). Motion capture technologies for athletic performance enhancement and injury risk assessment: A review for multi-sport organizations. Sensors, 25(14), 4384. https://doi.org/10.3390/s25144384

Bae, K., Lee, S., Bak, S.-Y., Kim, H. S., Ha, Y., & You, J. H. (2024). Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat. Scientific Reports, 14, 29462. https://doi.org/10.1038/s41598-024-79707-2

Barnett, L. M., Jerebine, A., Keegan, R., Watson-Mackie, K., Arundell, L., Ridgers, N. D., Salmon, J., & Dudley, D. (2023). Validity, reliability, and feasibility of physical literacy assessments designed for school children: A systematic review. Sports Medicine, 53(10), 1905-1929. https://doi.org/10.1007/s40279-023-01867-4

Burton, A. M., Cowburn, I., Thompson, F., Eisenmann, J. C., Nicholson, B., & Till, K. (2023). Associations between motor competence and physical activity, physical fitness and psychosocial characteristics in adolescents: A systematic review and meta-analysis. Sports Medicine, 53(11), 2191-2256. https://doi.org/10.1007/s40279-023-01886-1

Carl, J., Barratt, J., Wanner, P., Töpfer, C., Cairney, J., & Pfeifer, K. (2022). The effectiveness of physical literacy interventions: A systematic review with meta-analysis. Sports Medicine, 52(12), 2965-2999. https://doi.org/10.1007/s40279-022-01738-4

Clark, S. C., Rowe, N. D., Adnan, M., Brown, S. M., & Mulcahey, M. K. (2022). Effective interventions for improving Functional Movement Screen scores among 'high-risk' athletes: A systematic review. International Journal of Sports Physical Therapy, 17(2), 131-138. https://doi.org/10.26603/001c.31001

Coe, D. P., Post, E. M., Fitzhugh, E. C., Fairbrother, J. T., & Webster, E. K. (2024). Associations among motor competence, physical activity, perceived motor competence, and aerobic fitness in 10-15-year-old youth. Children, 11(2), 260. https://doi.org/10.3390/children11020260

Cronin, N. J., Walker, J., Tucker, C. B., Nicholson, G., Cooke, M., Merlino, S., & Bissas, A. (2024). Feasibility of OpenPose markerless motion analysis in a real athletics competition. Frontiers in Sports and Active Living, 5, 1298003. https://doi.org/10.3389/fspor.2023.1298003

Fitton Davies, K., Sacko, R. S., Lyons, M. A., & Duncan, M. J. (2022). Association between Functional Movement Screen scores and athletic performance in adolescents: A systematic review. Sports, 10(3), 28. https://doi.org/10.3390/sports10030028

Huang, J., Zhong, M., & Wang, J. (2022). Effects of exercise-based interventions on functional movement capability in untrained populations: A systematic review and meta-analysis. International Journal of Environmental Research and Public Health, 19(15), 9353. https://doi.org/10.3390/ijerph19159353

Huang, T., Ruan, M., Huang, S., Fan, L., & Wu, X. (2024). Comparison of kinematics and joint moments calculations for lower limbs during gait using markerless and marker-based motion capture. Frontiers in Bioengineering and Biotechnology, 12, 1280363. https://doi.org/10.3389/fbioe.2024.1280363

Jerebine, A., Arundell, L., Watson-Mackie, K., Keegan, R., Jurić, P., Dudley, D., Ridgers, N. D., Salmon, J., & Barnett, L. M. (2024). Effects of holistically conceptualised school-based interventions on children's physical literacy, physical activity, and other outcomes: A systematic review. Sports Medicine - Open, 10(1), 105. https://doi.org/10.1186/s40798-024-00766-w

Lima, Y. L., Collings, T., Hall, M., Bourne, M. N., & Diamond, L. E. (2024). Validity and reliability of trunk and lower-limb kinematics during squatting, hopping, jumping and side-stepping using OpenCap markerless motion capture application. Journal of Sports Sciences, 42(19), 1847-1858. https://doi.org/10.1080/02640414.2024.2415233

Longmuir, P. E., Gunnell, K. E., Barnes, J. D., Belanger, K., Leduc, G., Woodruff, S. J., & Tremblay, M. S. (2018). Canadian Assessment of Physical Literacy Second Edition: A streamlined assessment of the capacity for physical activity among children 8 to 12 years of age. BMC Public Health, 18, 1047. https://doi.org/10.1186/s12889-018-5902-y

Moon, J., Webster, C. A., Stodden, D. F., Brian, A., Mulvey, K. L., Beets, M., Egan, C. A., McIntosh, L. I. F., Merica, C. B., & Russ, L. (2024). Systematic review and meta-analysis of physical activity interventions to increase elementary children's motor competence: A comprehensive school physical activity program perspective. BMC Public Health, 24, 826. https://doi.org/10.1186/s12889-024-18145-1

Mota, J., Martins, J., & Onofre, M. (2022). Portuguese Physical Literacy Assessment - Observation (PPLA-O) for adolescents (15-18 years) from grades 10-12: Development and initial validation through item response theory. Frontiers in Sports and Active Living, 4, 1033648. https://doi.org/10.3389/fspor.2022.1033648

Mota, J., Martins, J., & Onofre, M. (2023). Portuguese Physical Literacy Assessment Questionnaire (PPLA-Q) for adolescents: Validity and reliability of the psychological and social modules using Mokken scale analysis. Perceptual and Motor Skills, 130(3), 958-983. https://doi.org/10.1177/00315125231159688

Mödinger, M., Woll, A., & Wagner, I. (2022). Video-based visual feedback to enhance motor learning in physical education-a systematic review. German Journal of Exercise and Sport Research, 52, 447-460. https://doi.org/10.1007/s12662-021-00782-y

Noorbhai, H., Moon, S., & Fukushima, T. (2025). A conceptual framework and review of multi-method approaches for 3D markerless motion capture in sports and exercise. Journal of Sports Sciences, 43(12), 1167-1174. https://doi.org/10.1080/02640414.2025.2489868

O'Brien, W., Khodaverdi, Z., Bolger, L., Tarantino, G., Philpott, C., & Neville, R. D. (2022). The assessment of functional movement in children and adolescents: A systematic review and meta-analysis. Sports Medicine, 52(1), 37-53. https://doi.org/10.1007/s40279-021-01529-3

Ogura, A., Florio, E., Wileman, T. M., Dennison, L., & Psarakis, M. (2026). Are we there yet? A systematic review and meta-analysis of the validity and reliability of automated markerless motion capture systems during jumping tasks. Journal of Sports Sciences, 44(10), 1275-1295. https://doi.org/10.1080/02640414.2025.2589689

Philipp, N. M., Fry, A. C., Mosier, E. M., Cabarkapa, D., Nicoll, J. X., & Sontag, S. A. (2024). Biological reliability of a movement analysis assessment using a markerless motion capture system. Frontiers in Sports and Active Living, 6, 1417965. https://doi.org/10.3389/fspor.2024.1417965

Söker, N., Schamerowski, J., Zech, A., Steib, S., & Rahlf, L. (2025). Long-term athlete development in schools: A systematic review and narrative synthesis. Frontiers in Sports and Active Living, 7, 1706060. https://doi.org/10.3389/fspor.2025.1706060

Tissera, K., Orth, D., Huynh, M., & Benson, A. C. (2022). The impact of augmented feedback (and technology) on learning and teaching cricket skill: A systematic review with meta-analysis. PLOS ONE, 17(12), e0279121. https://doi.org/10.1371/journal.pone.0279121

Turner, J. A., Chaaban, C. R., & Padua, D. A. (2024). Validation of OpenCap: A low-cost markerless motion capture system for lower-extremity kinematics during return-to-sport tasks. Journal of Biomechanics, 171, 112200. https://doi.org/10.1016/j.jbiomech.2024.112200

van der Veer, I. P. A., Verbecque, E., Rameckers, E. A. A., Bastiaenen, C. H. G., & Klingels, K. (2022). How can instructions and feedback with external focus be shaped to enhance motor learning in children? A systematic review. PLOS ONE, 17(8), e0264873. https://doi.org/10.1371/journal.pone.0264873

Varcin, F., & Boocock, M. G. (2026). The accuracy, validity and reliability of Theia3D markerless motion capture for studying the biomechanics of human movement: A systematic review. Artificial Intelligence in Medicine, 173, 103332. https://doi.org/10.1016/j.artmed.2025.103332

Weakley, J., Cowley, N., Schoenfeld, B. J., Read, D. B., Timmins, R. G., García-Ramos, A., & McGuckian, T. B. (2023). The effect of feedback on resistance training performance and adaptations: A systematic review and meta-analysis. Sports Medicine, 53(9), 1789-1803. https://doi.org/10.1007/s40279-023-01877-2

Welsby, E., Hordacre, B., Hobbs, D., Bouckley, J., Ward, E., & Hillier, S. (2024). Evaluating the influence of feedback on motor skill learning and motor performance for children with developmental coordination disorder: A systematic review. Frontiers in Pediatrics, 12, 1327445. https://doi.org/10.3389/fped.2024.1327445

Yeadon, M. R., & Pain, M. T. G. (2023). Fifty years of performance-related sports biomechanics research. Journal of Biomechanics, 155, 111666. https://doi.org/10.1016/j.jbiomech.2023.111666

Yoma, M., Llurda-Almuzara, L., Herrington, L., & Jones, R. (2025). Reliability and validity of lower extremity and trunk kinematics measured with markerless motion capture during sports-related and functional tasks: A systematic review. Journal of Sports Sciences, 43(17), 1703-1730. https://doi.org/10.1080/02640414.2025.2518359

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Published

2026-09-15

How to Cite

Beltekin, E., Berk, Y., Dereli, Ökkeş, Ulema, M. S., & Ökmen, M. S. (2026). Body composition and handgrip strength as predictors of maximal strength and maximum push-up and pull-up performance in resistance-trained young men. Journal of Coaching and Sports Science, 5(3), 121-136. https://doi.org/10.58524/jcss.v5i3.1463