Tue, Aug 11, 2026
Volume 16, Issue 3 (Summer 2026)
PTJ 2026, 16(3): 321-332 |
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Kumar P, Rathee R, Sangwan N, Nara K, Fitrianto A T, Rahman H. Hand Grip Strength and Peak Expiratory Flow: Effects of Height, Weight, and BMI Adjustments. PTJ 2026; 16 (3) :321-332
URL: http://ptj.uswr.ac.ir/article-1-756-en.html
URL: http://ptj.uswr.ac.ir/article-1-756-en.html
Parveen Kumar *1 
, Rohit Rathee1 , Naveen Sangwan1 , Kuldeep Nara1 , Ari Tri Fitrianto2 , Hamidur Rahman3
, Rohit Rathee1 , Naveen Sangwan1 , Kuldeep Nara1 , Ari Tri Fitrianto2 , Hamidur Rahman3
1- Department of Physical Education, Chaudhary Ranbir Singh University, Jind, India.
2- Department of Sports Education, Faculty of Education and Teaching, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, Banjarmasin, Indonesia.
3- Department of Physical Education and Sports Science, Jashore University of Science and Technology, Jashore, Bangladesh.
2- Department of Sports Education, Faculty of Education and Teaching, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, Banjarmasin, Indonesia.
3- Department of Physical Education and Sports Science, Jashore University of Science and Technology, Jashore, Bangladesh.
Abstract: (2539 Views)
Purpose: This study aimed to examine the association between hand grip strength (HGS) and peak expiratory flow rate (PEFR), while controlling for height, weight, and body mass index (BMI).
Methods: A cross-sectional study was conducted on healthy young adults to measure HGS and PEFR. Multiple regression anthropometric adjustments in peak flow prediction was applied separately for male and female participants. To evaluate the independent contribution of HGS to PEFR, zero-order, partial, and part correlations were calculated after adjusting for height, weight, and BMI.
Results: HGS was significantly positively correlated with PEFR in both men (r=0.353, P=0.007) and women (r=0.245, P=0.041). In regression analysis, HGS remained a significant predictor of PEFR in men (β=0.385, P=0.015) and women (β=0.293, P=0.035) after adjusting for height, weight, and BMI. Other anthropometric variables showed weak and non-significant associations with PEFR. The partial correlation between HGS and PEFR was r=0.329 in men and r=0.258 in women, indicating an independent contribution beyond body composition measurements.
Conclusion: HGS emerged as a significant, independent predictor of PEFR, underscoring the importance of muscle strength for pulmonary function. These results indicate that HGS assessment may serve as a practical, noninvasive method for evaluating respiratory health in both clinical and fitness environments.
Methods: A cross-sectional study was conducted on healthy young adults to measure HGS and PEFR. Multiple regression anthropometric adjustments in peak flow prediction was applied separately for male and female participants. To evaluate the independent contribution of HGS to PEFR, zero-order, partial, and part correlations were calculated after adjusting for height, weight, and BMI.
Results: HGS was significantly positively correlated with PEFR in both men (r=0.353, P=0.007) and women (r=0.245, P=0.041). In regression analysis, HGS remained a significant predictor of PEFR in men (β=0.385, P=0.015) and women (β=0.293, P=0.035) after adjusting for height, weight, and BMI. Other anthropometric variables showed weak and non-significant associations with PEFR. The partial correlation between HGS and PEFR was r=0.329 in men and r=0.258 in women, indicating an independent contribution beyond body composition measurements.
Conclusion: HGS emerged as a significant, independent predictor of PEFR, underscoring the importance of muscle strength for pulmonary function. These results indicate that HGS assessment may serve as a practical, noninvasive method for evaluating respiratory health in both clinical and fitness environments.
Type of Study: Research |
Subject:
General
Received: 2025/04/3 | Accepted: 2025/07/13 | Published: 2026/07/1
Received: 2025/04/3 | Accepted: 2025/07/13 | Published: 2026/07/1
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