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Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study
BACKGROUND: Epidemiologic evidence on body mass index (BMI)-metabolic status phenotypes and diabetes risk remains controversial, especially for metabolically healthy obesity (MHO). We aimed to examine the effect of metabolic health and obesity phenotype on diabetes risk in the Chinese population. ME...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353171/ https://www.ncbi.nlm.nih.gov/pubmed/34385823 http://dx.doi.org/10.2147/DMSO.S317739 |
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author | Zhu, Xiaoyue Hu, Jingyao Guo, Haijian Ji, Dakang Yuan, Defu Li, Mingma Yan, Tao Xue, Chenghao Ma, Haonan Zhou, Xu Liu, Yuxiang Li, You Sun, Kaicheng Liu, Yu Sun, Zilin Wang, Bei |
author_facet | Zhu, Xiaoyue Hu, Jingyao Guo, Haijian Ji, Dakang Yuan, Defu Li, Mingma Yan, Tao Xue, Chenghao Ma, Haonan Zhou, Xu Liu, Yuxiang Li, You Sun, Kaicheng Liu, Yu Sun, Zilin Wang, Bei |
author_sort | Zhu, Xiaoyue |
collection | PubMed |
description | BACKGROUND: Epidemiologic evidence on body mass index (BMI)-metabolic status phenotypes and diabetes risk remains controversial, especially for metabolically healthy obesity (MHO). We aimed to examine the effect of metabolic health and obesity phenotype on diabetes risk in the Chinese population. METHODS: A population-based cohort study was carried out. The baseline survey was conducted in 2017, with two follow-up visits in 2018 and 2020. Diabetes was defined based on the criteria of the World Health Organization. Robust generalized estimating equation models with a binary distribution using a log link and exchange structure were applied for the pooled analysis sample. RESULTS: A total sample of 9623 observations was pooled for the longitudinal data analysis. The average follow-up time was 1.64 years per person and the overall incidence density of diabetes was 6.94% person-years. Decreased diabetes risk was found in metabolically healthy overweight phenotype (RR = 0.65; 95% CI = 0.47–0.90) and no significant associations were detected for the MHO individuals (RR = 0.99; 95% CI = 0.63–1.53) compared with those of metabolically healthy normal weight, in contrast to metabolically unhealthy normal weight (MU-NW) (RR = 1.81; 95% CI = 1.28–2.55), metabolically unhealthy overweight (MU-OW) (RR = 2.02; 95% CI = 1.57–2.61) and metabolically unhealthy obesity (MUO) (RR = 2.48; 95% CI = 1.89–3.26) phenotypes. Significant associations between BMI-metabolic status phenotypes and diabetes were found in both males and females. CONCLUSION: The MUO phenotype needs to be accorded much more importance. MU-NW and MU-OW are also important component for targeted prevention. Our findings can be targeted for optimizing preventive strategies to mitigate the obviously increased prevalence of diabetes. |
format | Online Article Text |
id | pubmed-8353171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-83531712021-08-11 Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study Zhu, Xiaoyue Hu, Jingyao Guo, Haijian Ji, Dakang Yuan, Defu Li, Mingma Yan, Tao Xue, Chenghao Ma, Haonan Zhou, Xu Liu, Yuxiang Li, You Sun, Kaicheng Liu, Yu Sun, Zilin Wang, Bei Diabetes Metab Syndr Obes Original Research BACKGROUND: Epidemiologic evidence on body mass index (BMI)-metabolic status phenotypes and diabetes risk remains controversial, especially for metabolically healthy obesity (MHO). We aimed to examine the effect of metabolic health and obesity phenotype on diabetes risk in the Chinese population. METHODS: A population-based cohort study was carried out. The baseline survey was conducted in 2017, with two follow-up visits in 2018 and 2020. Diabetes was defined based on the criteria of the World Health Organization. Robust generalized estimating equation models with a binary distribution using a log link and exchange structure were applied for the pooled analysis sample. RESULTS: A total sample of 9623 observations was pooled for the longitudinal data analysis. The average follow-up time was 1.64 years per person and the overall incidence density of diabetes was 6.94% person-years. Decreased diabetes risk was found in metabolically healthy overweight phenotype (RR = 0.65; 95% CI = 0.47–0.90) and no significant associations were detected for the MHO individuals (RR = 0.99; 95% CI = 0.63–1.53) compared with those of metabolically healthy normal weight, in contrast to metabolically unhealthy normal weight (MU-NW) (RR = 1.81; 95% CI = 1.28–2.55), metabolically unhealthy overweight (MU-OW) (RR = 2.02; 95% CI = 1.57–2.61) and metabolically unhealthy obesity (MUO) (RR = 2.48; 95% CI = 1.89–3.26) phenotypes. Significant associations between BMI-metabolic status phenotypes and diabetes were found in both males and females. CONCLUSION: The MUO phenotype needs to be accorded much more importance. MU-NW and MU-OW are also important component for targeted prevention. Our findings can be targeted for optimizing preventive strategies to mitigate the obviously increased prevalence of diabetes. Dove 2021-08-05 /pmc/articles/PMC8353171/ /pubmed/34385823 http://dx.doi.org/10.2147/DMSO.S317739 Text en © 2021 Zhu et al. https://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/ (https://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 Zhu, Xiaoyue Hu, Jingyao Guo, Haijian Ji, Dakang Yuan, Defu Li, Mingma Yan, Tao Xue, Chenghao Ma, Haonan Zhou, Xu Liu, Yuxiang Li, You Sun, Kaicheng Liu, Yu Sun, Zilin Wang, Bei Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study |
title | Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study |
title_full | Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study |
title_fullStr | Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study |
title_full_unstemmed | Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study |
title_short | Effect of Metabolic Health and Obesity Phenotype on Risk of Diabetes Mellitus: A Population-Based Longitudinal Study |
title_sort | effect of metabolic health and obesity phenotype on risk of diabetes mellitus: a population-based longitudinal study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353171/ https://www.ncbi.nlm.nih.gov/pubmed/34385823 http://dx.doi.org/10.2147/DMSO.S317739 |
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