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Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis
BACKGROUND: Handgrip power is an essential indicator of health, vital for grasping or gripping sports, and crucial for providing information related to work capacity. The present study investigated any linear relationship of handgrip power with hand anthropometric variables (hand length, handbreadth...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166194/ https://www.ncbi.nlm.nih.gov/pubmed/35659368 http://dx.doi.org/10.1186/s40101-022-00297-x |
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author | Hossain Parash, M Tanveer Khazri, Hasanur Bin Mustapha, Zainal Arifin Shimmi, Sadia Choudhury |
author_facet | Hossain Parash, M Tanveer Khazri, Hasanur Bin Mustapha, Zainal Arifin Shimmi, Sadia Choudhury |
author_sort | Hossain Parash, M Tanveer |
collection | PubMed |
description | BACKGROUND: Handgrip power is an essential indicator of health, vital for grasping or gripping sports, and crucial for providing information related to work capacity. The present study investigated any linear relationship of handgrip power with hand anthropometric variables (hand length, handbreadth, middle finger length, second inter-crease length of the middle finger, and hand span), gender, and ethnicity in young adults of Sabah. METHODS: In this cross-sectional study (from January 2020 to December 2021), the adult Sabahan population (18-25 years) was stratified into four ethnicities (KadazanDusun, Bajau, Malay, and Chinese) and was further stratified as males and females. Then, 46 subjects were randomly selected from each gender, and the ethnic group met the intended sample size. The hand dimensions were measured using a digital calliper, and the handgrip power was measured using a portable dynamometer. The relationship between the response variable and explanatory variables was analyzed at first through simple linear regression and then multiple linear regression. R(2), adjusted R(2), and standard errors of the estimates were used to compare different models. Statistical analyses were performed using IBM SPSS Statistics 27 and StatCrunch. RESULTS: The study found a linear relationship between gender, height, hand length, handbreadth, hand span, middle finger length, and second inter-crease length of both hands with the corresponding hand’s grip power. The highest percentage (68% and 67%) of handgrip variability was demonstrated by the model predicting handgrip power for right-handed subjects, followed by the general models without stratifying based on hand dominance which was able to explain 63% and 64% of the variability of handgrip power. The study proposes the models for predicted right (RHGP) and left handgrip power (LHGP) of 18 to 25 years old adults from major ethnic groups of Sabah RHGP = − 18.972 − 8.704 Gender + 7.043 Right hand breadth and LHGP = − 11.621 − 9.389 Gender + 5.861 Left hand breadth respectively. CONCLUSION: The predicted handgrip power would be a key to selecting a better player or a better worker or assessing the prognosis of a disease or the wellbeing of a person. The study can be further expanded to all ethnicities and ages of people of Sabah or even Malaysia. |
format | Online Article Text |
id | pubmed-9166194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91661942022-06-05 Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis Hossain Parash, M Tanveer Khazri, Hasanur Bin Mustapha, Zainal Arifin Shimmi, Sadia Choudhury J Physiol Anthropol Original Article BACKGROUND: Handgrip power is an essential indicator of health, vital for grasping or gripping sports, and crucial for providing information related to work capacity. The present study investigated any linear relationship of handgrip power with hand anthropometric variables (hand length, handbreadth, middle finger length, second inter-crease length of the middle finger, and hand span), gender, and ethnicity in young adults of Sabah. METHODS: In this cross-sectional study (from January 2020 to December 2021), the adult Sabahan population (18-25 years) was stratified into four ethnicities (KadazanDusun, Bajau, Malay, and Chinese) and was further stratified as males and females. Then, 46 subjects were randomly selected from each gender, and the ethnic group met the intended sample size. The hand dimensions were measured using a digital calliper, and the handgrip power was measured using a portable dynamometer. The relationship between the response variable and explanatory variables was analyzed at first through simple linear regression and then multiple linear regression. R(2), adjusted R(2), and standard errors of the estimates were used to compare different models. Statistical analyses were performed using IBM SPSS Statistics 27 and StatCrunch. RESULTS: The study found a linear relationship between gender, height, hand length, handbreadth, hand span, middle finger length, and second inter-crease length of both hands with the corresponding hand’s grip power. The highest percentage (68% and 67%) of handgrip variability was demonstrated by the model predicting handgrip power for right-handed subjects, followed by the general models without stratifying based on hand dominance which was able to explain 63% and 64% of the variability of handgrip power. The study proposes the models for predicted right (RHGP) and left handgrip power (LHGP) of 18 to 25 years old adults from major ethnic groups of Sabah RHGP = − 18.972 − 8.704 Gender + 7.043 Right hand breadth and LHGP = − 11.621 − 9.389 Gender + 5.861 Left hand breadth respectively. CONCLUSION: The predicted handgrip power would be a key to selecting a better player or a better worker or assessing the prognosis of a disease or the wellbeing of a person. The study can be further expanded to all ethnicities and ages of people of Sabah or even Malaysia. BioMed Central 2022-06-04 /pmc/articles/PMC9166194/ /pubmed/35659368 http://dx.doi.org/10.1186/s40101-022-00297-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Original Article Hossain Parash, M Tanveer Khazri, Hasanur Bin Mustapha, Zainal Arifin Shimmi, Sadia Choudhury Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis |
title | Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis |
title_full | Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis |
title_fullStr | Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis |
title_full_unstemmed | Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis |
title_short | Predicting handgrip power of young adult population among major ethnic groups of Sabah: a multivariate analysis |
title_sort | predicting handgrip power of young adult population among major ethnic groups of sabah: a multivariate analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166194/ https://www.ncbi.nlm.nih.gov/pubmed/35659368 http://dx.doi.org/10.1186/s40101-022-00297-x |
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