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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, Haryana, India
2- Department of Sports Education, Faculty 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 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: (56 Views)
Purpose: This study examines the association amid 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 carried out on healthy young adults, measuring HGS and PEFR. Multiple regression 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 body mass index (BMI).
Results: HGS depicted a significant positive correlation with PEFR in both male (r = 0.353, p = 0.007) and female (r = 0.245, p = 0.041). In regression analysis, HGS persisted a significant predictor of PEFR in male (β = 0.385, p = 0.015) and female (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 of HGS with PEFR was r = 0.329 in men and r = 0.258 in women, indicating its independent contribution beyond body composition measures.
Conclusion: HGS emerged as a significant and independent predictor of PEFR, underscoring the importance of muscle strength in pulmonary function. These results indicate that HGS assessment may serve as a practical, non-invasive method for evaluating respiratory health in both clinical and fitness environments.
Methods: A cross-sectional study was carried out on healthy young adults, measuring HGS and PEFR. Multiple regression 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 body mass index (BMI).
Results: HGS depicted a significant positive correlation with PEFR in both male (r = 0.353, p = 0.007) and female (r = 0.245, p = 0.041). In regression analysis, HGS persisted a significant predictor of PEFR in male (β = 0.385, p = 0.015) and female (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 of HGS with PEFR was r = 0.329 in men and r = 0.258 in women, indicating its independent contribution beyond body composition measures.
Conclusion: HGS emerged as a significant and independent predictor of PEFR, underscoring the importance of muscle strength in pulmonary function. These results indicate that HGS assessment may serve as a practical, non-invasive method for evaluating respiratory health in both clinical and fitness environments.
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