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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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