Prediction of lung function using handgrip strength in healthy young adults

Mgbemena, Nnamdi C., Aweto, Happiness A., Tella, Bosede A., Emeto, Theophilus L., and Malau-Aduli, Bunmi S. (2019) Prediction of lung function using handgrip strength in healthy young adults. Physiological Reports, 7 (1). e13960. pp. 1-8.

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View at Publisher Website: https://doi.org/10.14814/phy2.13960
 
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Abstract

Background: Positive association between physical activity and spirometry have been reported to be possibly attributed to handgrip strength (HGS), particularly in the elderly. However, the nature of the association between HGS and lung function in young adults is still unclear. This study investigated the prediction of lung function using HGS in young adults. Methods: A cross-sectional analytical study was carried out on four hundred (400) apparently healthy medical students who are aged 16-30 years. Handgrip strength (dominant and non-dominant) and lung function (FEV1, FVC and PEFR) of these students were assessed using Jamar dynamometer and a portable spirometer respectively. Data was analysed using inferential statistics.

Results: Independent t-test showed that the mean values of HGS and lung function of the males were significantly higher than the females (p<0.0005). The relationship between HGS and lung function indices was significant (p<0.0005) in all the participants but strongest for FEV1 (r = 0.64). The regression analysis showed that in addition to gender and height, HGS was a significant (p<0.0005) predictor of lung function. Regression equations were also proposed for the prediction of these lung function indices using HGS, gender and height.

Conclusion: This study is the first to report HGS as a significant predictor of pulmonary function in healthy young adults living in a low-resource country. Hence, its use could enhance medical practice in being an indicator of lung function status in healthy young adults.

Item ID: 56463
Item Type: Article (Research - C1)
ISSN: 2051-817X
Keywords: lung function, hand grip strength, young adults, prediction equation
Copyright Information: © 2019 The Authors. Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society. This is an open access article under the terms of the Creative Commons Attribution License [https://creativecommons.org/licenses/by/4.0/], which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Date Deposited: 04 Dec 2018 00:31
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110317 Physiotherapy @ 80%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111717 Primary Health Care @ 20%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920115 Respiratory System and Diseases (incl. Asthma) @ 60%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920408 Health Status (e.g. Indicators of Well-Being) @ 40%
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