Cargando…
Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study
OBJECTIVE: Atrial fibrillation (AF) is associated with both obesity and its metabolic consequences. However, there is a paucity of information on whether the dynamic change of metabolic health and obesity phenotypes affect the risk of AF. We aimed to prospectively examine the association between met...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274110/ https://www.ncbi.nlm.nih.gov/pubmed/35837597 http://dx.doi.org/10.3389/fcvm.2022.888062 |
_version_ | 1784745233783717888 |
---|---|
author | Zhao, Maoxiang Du, Wenjuan Zhao, Qianqian Chen, Yating Li, Bin Xie, Zhonghui Fu, Zihao Zhang, Nan Cheng, Xiaowei Li, Xiaoqian Yao, Siyu Wang, Miao Wang, Chi Wu, Shouling Xue, Hao Li, Yang |
author_facet | Zhao, Maoxiang Du, Wenjuan Zhao, Qianqian Chen, Yating Li, Bin Xie, Zhonghui Fu, Zihao Zhang, Nan Cheng, Xiaowei Li, Xiaoqian Yao, Siyu Wang, Miao Wang, Chi Wu, Shouling Xue, Hao Li, Yang |
author_sort | Zhao, Maoxiang |
collection | PubMed |
description | OBJECTIVE: Atrial fibrillation (AF) is associated with both obesity and its metabolic consequences. However, there is a paucity of information on whether the dynamic change of metabolic health and obesity phenotypes affect the risk of AF. We aimed to prospectively examine the association between metabolic health and its change over time and AF risk across body mass index (BMI) categories. METHODS: A total of 58,483 participants without history of cancer, and cardiovascular diseases from the Kailuan study were included in the present study. Transition of metabolic phenotypes was evaluated between 1st survey (2006–2007) and the 2nd survey (2008–2009). The hazard ratios (HRs) and 95% confidence intervals (CIs) for AF were assessed by Cox proportional hazards regression. RESULTS: During a median follow-up of 3 years, we documented 580 cases of AF. Compared with metabolically healthy individuals with normal weight, the multivariable-adjusted hazard ratios for metabolically healthy and unhealthy overweight/obese were 1.27 (95% CI: 1.01, 1.59) and 1.37 (95% CI: 1.09, 1.72), respectively. However, when transition was taken into account, overweight/obese people who maintained metabolically healthy status were not associated with increased long-term risk (HR, 1.11;95% CI: 0.70, 1.78), whereas participants who converted from metabolically healthy overweight/obese status to an unhealthy phenotype had higher AF risk than those who maintained metabolically healthy normal weight (HR 1.59, 95% CI: 1.11, 2.26). When BMI and metabolically healthy status were updated over the course of the study, significant short-term elevations in AF risk were associated with individuals with stable MU-OW/OB status. CONCLUSION: In this community-based cohort study, metabolically healthy overweight/obese individuals have increased risks of AF. Obesity remains a risk factor for AF independent of major metabolic factors. Our data further suggested that metabolic phenotype was a dynamic condition, and maintenance of metabolic health and normal weight might alleviate the risk of AF. |
format | Online Article Text |
id | pubmed-9274110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92741102022-07-13 Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study Zhao, Maoxiang Du, Wenjuan Zhao, Qianqian Chen, Yating Li, Bin Xie, Zhonghui Fu, Zihao Zhang, Nan Cheng, Xiaowei Li, Xiaoqian Yao, Siyu Wang, Miao Wang, Chi Wu, Shouling Xue, Hao Li, Yang Front Cardiovasc Med Cardiovascular Medicine OBJECTIVE: Atrial fibrillation (AF) is associated with both obesity and its metabolic consequences. However, there is a paucity of information on whether the dynamic change of metabolic health and obesity phenotypes affect the risk of AF. We aimed to prospectively examine the association between metabolic health and its change over time and AF risk across body mass index (BMI) categories. METHODS: A total of 58,483 participants without history of cancer, and cardiovascular diseases from the Kailuan study were included in the present study. Transition of metabolic phenotypes was evaluated between 1st survey (2006–2007) and the 2nd survey (2008–2009). The hazard ratios (HRs) and 95% confidence intervals (CIs) for AF were assessed by Cox proportional hazards regression. RESULTS: During a median follow-up of 3 years, we documented 580 cases of AF. Compared with metabolically healthy individuals with normal weight, the multivariable-adjusted hazard ratios for metabolically healthy and unhealthy overweight/obese were 1.27 (95% CI: 1.01, 1.59) and 1.37 (95% CI: 1.09, 1.72), respectively. However, when transition was taken into account, overweight/obese people who maintained metabolically healthy status were not associated with increased long-term risk (HR, 1.11;95% CI: 0.70, 1.78), whereas participants who converted from metabolically healthy overweight/obese status to an unhealthy phenotype had higher AF risk than those who maintained metabolically healthy normal weight (HR 1.59, 95% CI: 1.11, 2.26). When BMI and metabolically healthy status were updated over the course of the study, significant short-term elevations in AF risk were associated with individuals with stable MU-OW/OB status. CONCLUSION: In this community-based cohort study, metabolically healthy overweight/obese individuals have increased risks of AF. Obesity remains a risk factor for AF independent of major metabolic factors. Our data further suggested that metabolic phenotype was a dynamic condition, and maintenance of metabolic health and normal weight might alleviate the risk of AF. Frontiers Media S.A. 2022-06-28 /pmc/articles/PMC9274110/ /pubmed/35837597 http://dx.doi.org/10.3389/fcvm.2022.888062 Text en Copyright © 2022 Zhao, Du, Zhao, Chen, Li, Xie, Fu, Zhang, Cheng, Li, Yao, Wang, Wang, Wu, Xue and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Zhao, Maoxiang Du, Wenjuan Zhao, Qianqian Chen, Yating Li, Bin Xie, Zhonghui Fu, Zihao Zhang, Nan Cheng, Xiaowei Li, Xiaoqian Yao, Siyu Wang, Miao Wang, Chi Wu, Shouling Xue, Hao Li, Yang Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study |
title | Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study |
title_full | Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study |
title_fullStr | Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study |
title_full_unstemmed | Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study |
title_short | Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study |
title_sort | transition of metabolic phenotypes and risk of atrial fibrillation according to bmi: kailuan study |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274110/ https://www.ncbi.nlm.nih.gov/pubmed/35837597 http://dx.doi.org/10.3389/fcvm.2022.888062 |
work_keys_str_mv | AT zhaomaoxiang transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT duwenjuan transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT zhaoqianqian transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT chenyating transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT libin transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT xiezhonghui transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT fuzihao transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT zhangnan transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT chengxiaowei transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT lixiaoqian transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT yaosiyu transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT wangmiao transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT wangchi transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT wushouling transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT xuehao transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy AT liyang transitionofmetabolicphenotypesandriskofatrialfibrillationaccordingtobmikailuanstudy |