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Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study

BACKGROUND: This study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference. METHODS: Among 8249 consecutive subjects who attended the Nationwide He...

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Autores principales: Tsou, Meng-Ting, Chang, Yu-Chen, Hsu, Ching-Ping, Kuo, Yang-Che, Yun, Chun-Ho, Huang, Wei-Hsin, Hu, Kuang-Chun, Liu, Chia-Yuan, Chen, Ying-Ju, Sung, Kuo-Tzu, Liu, Chuan-Chuan, Hung, Chung-Lieh, Kuo, Jen-Yuan, Chen, Tung-Ying, Hung, Ta-Chuan, Yeh, Hung-I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465784/
https://www.ncbi.nlm.nih.gov/pubmed/34563209
http://dx.doi.org/10.1186/s12986-021-00608-6
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author Tsou, Meng-Ting
Chang, Yu-Chen
Hsu, Ching-Ping
Kuo, Yang-Che
Yun, Chun-Ho
Huang, Wei-Hsin
Hu, Kuang-Chun
Liu, Chia-Yuan
Chen, Ying-Ju
Sung, Kuo-Tzu
Liu, Chuan-Chuan
Hung, Chung-Lieh
Kuo, Jen-Yuan
Chen, Tung-Ying
Hung, Ta-Chuan
Yeh, Hung-I.
author_facet Tsou, Meng-Ting
Chang, Yu-Chen
Hsu, Ching-Ping
Kuo, Yang-Che
Yun, Chun-Ho
Huang, Wei-Hsin
Hu, Kuang-Chun
Liu, Chia-Yuan
Chen, Ying-Ju
Sung, Kuo-Tzu
Liu, Chuan-Chuan
Hung, Chung-Lieh
Kuo, Jen-Yuan
Chen, Tung-Ying
Hung, Ta-Chuan
Yeh, Hung-I.
author_sort Tsou, Meng-Ting
collection PubMed
description BACKGROUND: This study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference. METHODS: Among 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens (≥ 65 years) between 2008 and 2018, we examined the associations of several adiposity indices with DM risk and explored gender differences. RESULTS: Among all adiposity indicators, Chinese visceral adiposity index (CVAI) demonstrated the highest discriminatory ability for diabetes mellitus with area under receiver operating characteristic curves (AUC) of 0.65, 0.68, and 0.66 for men, women, and all participants, respectively, and optimal cut-offs set as 126.09 in men and 117.77 in women. Compared with body shape index (ABSI), both CVAI and VAI were strongly associated with baseline DM (adjusted OR: 4.85, 95% CI: 4.05–5.82 and 4.22, 95% CI: 3.53–5.05 for 4th vs 1st quartile groups by CVAI and VAI, P < 0.001), which was more pronounced in older adult women (P(interaction) < 0.05). Over a median of 5.25 years (IQR: 3.07–6.44 years) follow-up, Cox regression models showed higher predictive ability of CVAI and VAI compared to ABSI. Further, both CVAI and VAI independently predicted new-onset DM (adjusted HR: 1.29, 95% CI: 1.22–1.37 and 1.16, 95% CI: 1.11–1.21 by CVAI and VAI) and composite endpoint of new DM and death among those without baseline DM. CONCLUSIONS: Our population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among older adult Chinese, especially in women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-021-00608-6.
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spelling pubmed-84657842021-09-27 Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study Tsou, Meng-Ting Chang, Yu-Chen Hsu, Ching-Ping Kuo, Yang-Che Yun, Chun-Ho Huang, Wei-Hsin Hu, Kuang-Chun Liu, Chia-Yuan Chen, Ying-Ju Sung, Kuo-Tzu Liu, Chuan-Chuan Hung, Chung-Lieh Kuo, Jen-Yuan Chen, Tung-Ying Hung, Ta-Chuan Yeh, Hung-I. Nutr Metab (Lond) Research BACKGROUND: This study assessed the performance of visceral adiposity index and body shape index in predicting diabetes mellitus (DM) risk and compared their predictive ability to that of body mass index and waist circumference. METHODS: Among 8249 consecutive subjects who attended the Nationwide Health Check Up System for Senior Citizens (≥ 65 years) between 2008 and 2018, we examined the associations of several adiposity indices with DM risk and explored gender differences. RESULTS: Among all adiposity indicators, Chinese visceral adiposity index (CVAI) demonstrated the highest discriminatory ability for diabetes mellitus with area under receiver operating characteristic curves (AUC) of 0.65, 0.68, and 0.66 for men, women, and all participants, respectively, and optimal cut-offs set as 126.09 in men and 117.77 in women. Compared with body shape index (ABSI), both CVAI and VAI were strongly associated with baseline DM (adjusted OR: 4.85, 95% CI: 4.05–5.82 and 4.22, 95% CI: 3.53–5.05 for 4th vs 1st quartile groups by CVAI and VAI, P < 0.001), which was more pronounced in older adult women (P(interaction) < 0.05). Over a median of 5.25 years (IQR: 3.07–6.44 years) follow-up, Cox regression models showed higher predictive ability of CVAI and VAI compared to ABSI. Further, both CVAI and VAI independently predicted new-onset DM (adjusted HR: 1.29, 95% CI: 1.22–1.37 and 1.16, 95% CI: 1.11–1.21 by CVAI and VAI) and composite endpoint of new DM and death among those without baseline DM. CONCLUSIONS: Our population-based data demonstrated that Chinese visceral adiposity index may serve as a superior clinical indicator of diabetes when compared with conventional anthropometric indices among older adult Chinese, especially in women. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12986-021-00608-6. BioMed Central 2021-09-25 /pmc/articles/PMC8465784/ /pubmed/34563209 http://dx.doi.org/10.1186/s12986-021-00608-6 Text en © The Author(s) 2021 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 Research
Tsou, Meng-Ting
Chang, Yu-Chen
Hsu, Ching-Ping
Kuo, Yang-Che
Yun, Chun-Ho
Huang, Wei-Hsin
Hu, Kuang-Chun
Liu, Chia-Yuan
Chen, Ying-Ju
Sung, Kuo-Tzu
Liu, Chuan-Chuan
Hung, Chung-Lieh
Kuo, Jen-Yuan
Chen, Tung-Ying
Hung, Ta-Chuan
Yeh, Hung-I.
Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study
title Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study
title_full Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study
title_fullStr Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study
title_full_unstemmed Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study
title_short Visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly Chinese: a population-based study
title_sort visceral adiposity index outperforms conventional anthropometric assessments as predictor of diabetes mellitus in elderly chinese: a population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465784/
https://www.ncbi.nlm.nih.gov/pubmed/34563209
http://dx.doi.org/10.1186/s12986-021-00608-6
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