Cargando…
Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis
INTRODUCTION: This study aimed to investigate the somatotype and obesity of adults in the Xinjiang Uygur Autonomous Region of China and to explore multivariate path analysis for the feasibility and scientificity of using somatotypes to evaluate obesity. SUBJECTS AND METHODS: According to anthropomet...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894874/ https://www.ncbi.nlm.nih.gov/pubmed/33623401 http://dx.doi.org/10.2147/DMSO.S287954 |
_version_ | 1783653316918509568 |
---|---|
author | Liu, Xiaoyuan Li, Wenhui Wen, Youfeng Xu, Guochang Zhou, Guojian Qu, Quanying Hu, Ying Saitierding, Yueriguli Mohetaer, Maierdanjang Buerlan, Yeerkenbieke Zhong, Xuejun Xi, Huanjiu |
author_facet | Liu, Xiaoyuan Li, Wenhui Wen, Youfeng Xu, Guochang Zhou, Guojian Qu, Quanying Hu, Ying Saitierding, Yueriguli Mohetaer, Maierdanjang Buerlan, Yeerkenbieke Zhong, Xuejun Xi, Huanjiu |
author_sort | Liu, Xiaoyuan |
collection | PubMed |
description | INTRODUCTION: This study aimed to investigate the somatotype and obesity of adults in the Xinjiang Uygur Autonomous Region of China and to explore multivariate path analysis for the feasibility and scientificity of using somatotypes to evaluate obesity. SUBJECTS AND METHODS: According to anthropometric methods, a cross-sectional study was performed on 10 indexes of 3438 adults (1690 men and 1748 women, aged > 20 years) living in the Xinjiang Uygur Autonomous Region of China (including Kazakh, Kyrgyz, Xibe, Uzbek, Tatar and Tajik). The Heath-Carter anthropometric method and body mass index (BMI) were used to evaluate somatotype and obesity, respectively. The feasibility and scientificity of using somatotypes to evaluate obesity were analysed by correspondence analysis. RESULTS: Among the six populations, the somatotypes were mainly distributed as endomorphic mesomorph, mesomorph-endomorph and mesomorphic endomorph populations, accounting for 66.5% of males and 78.8% of females. The obesity rate (27.4% in males, 27.8% in females) of the six populations in the Xinjiang Uygur Autonomous Region of China was much higher than the average Chinese adult obesity rate (12.1%) and the global adult obesity rate (male: 11%, female: 15%). The distribution of BMI was significantly different (male: P=0.000, female: P=0.033) in different populations, and the incidence of overweight and obesity in the Xinjiang Uygur Autonomous Region of China increased gradually. This study found that there were significant differences in somatotype distribution among different obesity groups in the Xinjiang Uygur Autonomous Region of China (P=0.000). There was a strong correlation between overweight or obesity and endomorph-mesomorph, endomorphic mesomorph and mesomorphic endomorph. Furthermore, this study indicated that using somatotypes to evaluate obesity was reliable and scientific. CONCLUSION: This study concluded that the somatotype of overweight or obese people was mainly related to endomorphic mesomorph, mesomorph-endomorph, and mesomorphic endomorph. |
format | Online Article Text |
id | pubmed-7894874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-78948742021-02-22 Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis Liu, Xiaoyuan Li, Wenhui Wen, Youfeng Xu, Guochang Zhou, Guojian Qu, Quanying Hu, Ying Saitierding, Yueriguli Mohetaer, Maierdanjang Buerlan, Yeerkenbieke Zhong, Xuejun Xi, Huanjiu Diabetes Metab Syndr Obes Original Research INTRODUCTION: This study aimed to investigate the somatotype and obesity of adults in the Xinjiang Uygur Autonomous Region of China and to explore multivariate path analysis for the feasibility and scientificity of using somatotypes to evaluate obesity. SUBJECTS AND METHODS: According to anthropometric methods, a cross-sectional study was performed on 10 indexes of 3438 adults (1690 men and 1748 women, aged > 20 years) living in the Xinjiang Uygur Autonomous Region of China (including Kazakh, Kyrgyz, Xibe, Uzbek, Tatar and Tajik). The Heath-Carter anthropometric method and body mass index (BMI) were used to evaluate somatotype and obesity, respectively. The feasibility and scientificity of using somatotypes to evaluate obesity were analysed by correspondence analysis. RESULTS: Among the six populations, the somatotypes were mainly distributed as endomorphic mesomorph, mesomorph-endomorph and mesomorphic endomorph populations, accounting for 66.5% of males and 78.8% of females. The obesity rate (27.4% in males, 27.8% in females) of the six populations in the Xinjiang Uygur Autonomous Region of China was much higher than the average Chinese adult obesity rate (12.1%) and the global adult obesity rate (male: 11%, female: 15%). The distribution of BMI was significantly different (male: P=0.000, female: P=0.033) in different populations, and the incidence of overweight and obesity in the Xinjiang Uygur Autonomous Region of China increased gradually. This study found that there were significant differences in somatotype distribution among different obesity groups in the Xinjiang Uygur Autonomous Region of China (P=0.000). There was a strong correlation between overweight or obesity and endomorph-mesomorph, endomorphic mesomorph and mesomorphic endomorph. Furthermore, this study indicated that using somatotypes to evaluate obesity was reliable and scientific. CONCLUSION: This study concluded that the somatotype of overweight or obese people was mainly related to endomorphic mesomorph, mesomorph-endomorph, and mesomorphic endomorph. Dove 2021-02-15 /pmc/articles/PMC7894874/ /pubmed/33623401 http://dx.doi.org/10.2147/DMSO.S287954 Text en © 2021 Liu et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Liu, Xiaoyuan Li, Wenhui Wen, Youfeng Xu, Guochang Zhou, Guojian Qu, Quanying Hu, Ying Saitierding, Yueriguli Mohetaer, Maierdanjang Buerlan, Yeerkenbieke Zhong, Xuejun Xi, Huanjiu Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis |
title | Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis |
title_full | Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis |
title_fullStr | Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis |
title_full_unstemmed | Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis |
title_short | Obesity and Heath-Carter Somatotyping of 3438 Adults in the Xinjiang Uygur Autonomous Region of China by Multivariate Analysis |
title_sort | obesity and heath-carter somatotyping of 3438 adults in the xinjiang uygur autonomous region of china by multivariate analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894874/ https://www.ncbi.nlm.nih.gov/pubmed/33623401 http://dx.doi.org/10.2147/DMSO.S287954 |
work_keys_str_mv | AT liuxiaoyuan obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT liwenhui obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT wenyoufeng obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT xuguochang obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT zhouguojian obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT ququanying obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT huying obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT saitierdingyueriguli obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT mohetaermaierdanjang obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT buerlanyeerkenbieke obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT zhongxuejun obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis AT xihuanjiu obesityandheathcartersomatotypingof3438adultsinthexinjianguygurautonomousregionofchinabymultivariateanalysis |