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Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi

To explore the relationship between risk prediction of diabetes mellitus (DM) and different physical fitness parameters in municipal in-service personnel in Guangxi. This was a cross-sectional study conducted in China from July 2015 to December 2016. We enrolled in-service adults (20–65 year of age)...

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Autores principales: Zhao, Mingming, Wu, Zhixin, Huang, Yanqun, Jiang, Zhirong, Mo, Xiaoying, Lowis, Heinz, Zhao, Yangyang, Zhang, Mingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709133/
https://www.ncbi.nlm.nih.gov/pubmed/31145330
http://dx.doi.org/10.1097/MD.0000000000015842
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author Zhao, Mingming
Wu, Zhixin
Huang, Yanqun
Jiang, Zhirong
Mo, Xiaoying
Lowis, Heinz
Zhao, Yangyang
Zhang, Mingsheng
author_facet Zhao, Mingming
Wu, Zhixin
Huang, Yanqun
Jiang, Zhirong
Mo, Xiaoying
Lowis, Heinz
Zhao, Yangyang
Zhang, Mingsheng
author_sort Zhao, Mingming
collection PubMed
description To explore the relationship between risk prediction of diabetes mellitus (DM) and different physical fitness parameters in municipal in-service personnel in Guangxi. This was a cross-sectional study conducted in China from July 2015 to December 2016. We enrolled in-service adults (20–65 year of age) from public institutions. All subjects underwent National Physical Fitness Test (NPFT) and EZSCAN screening. The 5668 subjects were 42.9±12.3 years; 2984 (52.6%) were male; 3998 (70.5%), 1579 (27.9%) and 85 (1.6%) were Han, Zhuang, and other ethnicities, respectively. The multivariable analysis showed that systolic blood pressure (odds ratio [OR] = 1.013, 95% confidence interval [CI]: 1.003–1.022, P = .01), Harvard step test index (OR = 0.958, 95% CI: 0.941–0.976, P <.001), bend-ahead in sitting (OR = 0.945, 95% CI: 0.926–0.963, P <.001), hand grip strength (OR = 0.981, 95% CI: 0.966–0.997, P = .02), vertical jump height (OR = 0.969, 95% CI: 0.944–0.996, P = .02), time of single-leg standing with eyes closed (OR = 0.981, 95% CI: 0.968–0.995, P = .007), choice reaction time (OR = 2.103, 95% CI: 1.261–3.507, P = .004), and body composition minerals (OR = 1.649, 95% CI: 1.261–1.813, P < .001) were independently associated with DM. The resulting equation for the prediction of DM had an area under the receiver operating characteristic curve of 0.808, indicating good predictive ability. NPFT and EZSCAN could help predict the risk of diabetes and give early warnings to undertake preventive actions such as changing diet and performing physical activity.
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spelling pubmed-67091332019-10-01 Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi Zhao, Mingming Wu, Zhixin Huang, Yanqun Jiang, Zhirong Mo, Xiaoying Lowis, Heinz Zhao, Yangyang Zhang, Mingsheng Medicine (Baltimore) Research Article To explore the relationship between risk prediction of diabetes mellitus (DM) and different physical fitness parameters in municipal in-service personnel in Guangxi. This was a cross-sectional study conducted in China from July 2015 to December 2016. We enrolled in-service adults (20–65 year of age) from public institutions. All subjects underwent National Physical Fitness Test (NPFT) and EZSCAN screening. The 5668 subjects were 42.9±12.3 years; 2984 (52.6%) were male; 3998 (70.5%), 1579 (27.9%) and 85 (1.6%) were Han, Zhuang, and other ethnicities, respectively. The multivariable analysis showed that systolic blood pressure (odds ratio [OR] = 1.013, 95% confidence interval [CI]: 1.003–1.022, P = .01), Harvard step test index (OR = 0.958, 95% CI: 0.941–0.976, P <.001), bend-ahead in sitting (OR = 0.945, 95% CI: 0.926–0.963, P <.001), hand grip strength (OR = 0.981, 95% CI: 0.966–0.997, P = .02), vertical jump height (OR = 0.969, 95% CI: 0.944–0.996, P = .02), time of single-leg standing with eyes closed (OR = 0.981, 95% CI: 0.968–0.995, P = .007), choice reaction time (OR = 2.103, 95% CI: 1.261–3.507, P = .004), and body composition minerals (OR = 1.649, 95% CI: 1.261–1.813, P < .001) were independently associated with DM. The resulting equation for the prediction of DM had an area under the receiver operating characteristic curve of 0.808, indicating good predictive ability. NPFT and EZSCAN could help predict the risk of diabetes and give early warnings to undertake preventive actions such as changing diet and performing physical activity. Wolters Kluwer Health 2019-05-31 /pmc/articles/PMC6709133/ /pubmed/31145330 http://dx.doi.org/10.1097/MD.0000000000015842 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Zhao, Mingming
Wu, Zhixin
Huang, Yanqun
Jiang, Zhirong
Mo, Xiaoying
Lowis, Heinz
Zhao, Yangyang
Zhang, Mingsheng
Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi
title Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi
title_full Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi
title_fullStr Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi
title_full_unstemmed Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi
title_short Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi
title_sort role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in guangxi
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709133/
https://www.ncbi.nlm.nih.gov/pubmed/31145330
http://dx.doi.org/10.1097/MD.0000000000015842
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