The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China
Background and aimsThe epidemiological characteristics of MAFLD and its relationship with atrial fibrillation (AF) are limited in China. Therefore, we explored the epidemiological characteristics of MAFLD from adults along with the association of MAFLD and 12-ECG diagnosed AF in a nationwide populat...
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Frontiers Media S.A.
2022-09-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.1007171/full |
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author | Fang Lei Fang Lei Juan-Juan Qin Juan-Juan Qin Xiaohui Song Xiaohui Song Ye-Mao Liu Ye-Mao Liu Ye-Mao Liu Ming-Ming Chen Ming-Ming Chen Tao Sun Tao Sun Xuewei Huang Xuewei Huang Ke-Qiong Deng Ke-Qiong Deng Ke-Qiong Deng Xiuran Zuo Dongai Yao Li-Juan Xu Huiming Lu Gang Wang Feng Liu Lidong Chen Jie Luo Jiahong Xia Lin Wang QiongYu Yang Peng Zhang Peng Zhang Yan-Xiao Ji Yan-Xiao Ji Xiao-Jing Zhang Xiao-Jing Zhang Zhi-Gang She Zhi-Gang She Qiang Zeng Hongliang Li Hongliang Li Hongliang Li Hongliang Li Jingjing Cai Jingjing Cai |
author_facet | Fang Lei Fang Lei Juan-Juan Qin Juan-Juan Qin Xiaohui Song Xiaohui Song Ye-Mao Liu Ye-Mao Liu Ye-Mao Liu Ming-Ming Chen Ming-Ming Chen Tao Sun Tao Sun Xuewei Huang Xuewei Huang Ke-Qiong Deng Ke-Qiong Deng Ke-Qiong Deng Xiuran Zuo Dongai Yao Li-Juan Xu Huiming Lu Gang Wang Feng Liu Lidong Chen Jie Luo Jiahong Xia Lin Wang QiongYu Yang Peng Zhang Peng Zhang Yan-Xiao Ji Yan-Xiao Ji Xiao-Jing Zhang Xiao-Jing Zhang Zhi-Gang She Zhi-Gang She Qiang Zeng Hongliang Li Hongliang Li Hongliang Li Hongliang Li Jingjing Cai Jingjing Cai |
author_sort | Fang Lei |
collection | DOAJ |
description | Background and aimsThe epidemiological characteristics of MAFLD and its relationship with atrial fibrillation (AF) are limited in China. Therefore, we explored the epidemiological characteristics of MAFLD from adults along with the association of MAFLD and 12-ECG diagnosed AF in a nationwide population from health check-up centers.MethodsThis observational study used cross-sectional and longitudinal studies with 2,083,984 subjects from 2009 to 2017. Age-, sex-, and regional-standardized prevalence of MAFLD was estimated. Latent class analysis (LCA) was used to identify subclusters of MAFLD. Multivariable logistic regression and mixed-effects Cox regression models were used to analyze the relationship between MAFLD and AF.ResultsThe prevalence of MAFLD increased from 22.75% to 35.58% during the study period, with higher rates in males and populations with high BMI or resided in northern regions. The MAFLD population was clustered into three classes with different metabolic features by LCA. Notably, a high proportion of MAFLD patients in all clusters had overweight and prediabetes or diabetes. The MAFLD was significantly associated with a higher risk of AF in the cross-sectional study and in the longitudinal study. In addition, the coexistence of prediabetes or diabetes had the largest impact on subsequent AF.ConclusionOur findings suggested a high prevalence of MAFLD and a high prevalence of other metabolic diseases in the MAFLD population, particularly overweight and glucose dysregulation. Moreover, MAFLD was associated with a significantly higher risk for existing and subsequent subclinical AF in the Chinese population. |
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spelling | doaj.art-ecd2d9476eb444008b128be5dec154c32022-12-22T03:50:30ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-09-011310.3389/fendo.2022.10071711007171The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in ChinaFang Lei0Fang Lei1Juan-Juan Qin2Juan-Juan Qin3Xiaohui Song4Xiaohui Song5Ye-Mao Liu6Ye-Mao Liu7Ye-Mao Liu8Ming-Ming Chen9Ming-Ming Chen10Tao Sun11Tao Sun12Xuewei Huang13Xuewei Huang14Ke-Qiong Deng15Ke-Qiong Deng16Ke-Qiong Deng17Xiuran Zuo18Dongai Yao19Li-Juan Xu20Huiming Lu21Gang Wang22Feng Liu23Lidong Chen24Jie Luo25Jiahong Xia26Lin Wang27QiongYu Yang28Peng Zhang29Peng Zhang30Yan-Xiao Ji31Yan-Xiao Ji32Xiao-Jing Zhang33Xiao-Jing Zhang34Zhi-Gang She35Zhi-Gang She36Qiang Zeng37Hongliang Li38Hongliang Li39Hongliang Li40Hongliang Li41Jingjing Cai42Jingjing Cai43Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Huanggang Central Hospital, Huanggang, ChinaHuanggang Institute of Translational Medicine, Huanggang Central Hospital, Huanggang, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Huanggang Central Hospital, Huanggang, ChinaHuanggang Institute of Translational Medicine, Huanggang Central Hospital, Huanggang, ChinaDepartment of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, ChinaDepartment of Information, The Central Hospital of Wuhan, Wuhan, ChinaPhysical Examination Center, Zhongnan Hospital of Wuhan University, Wuhan, ChinaPhysical Examination Center, Renmin Hospital, Wuhan University, Wuhan, ChinaGeneral Medical Department, CR & WISCO General Hospital, Wuhan, China0Basic Medical Laboratory, General Hospital of Central Theater Command, Wuhan, China1Information Center, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China2Department of Medical Examination Center, Taihe Hospital, Hubei University of Medicine, Shiyan, China3Department of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China4Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China5Department of Hepatobiliary Surgery, Xi-Jing Hospital, Fourth Military Medical University, Xi’an, China6Chinese Medicine Center, Shiyan Renmin Hospital, Shiyan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, China7Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, ChinaDepartment of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, ChinaHuanggang Institute of Translational Medicine, Huanggang Central Hospital, Huanggang, China8Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, ChinaInstitute of Model Animal, Wuhan University, Wuhan, China9Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, ChinaBackground and aimsThe epidemiological characteristics of MAFLD and its relationship with atrial fibrillation (AF) are limited in China. Therefore, we explored the epidemiological characteristics of MAFLD from adults along with the association of MAFLD and 12-ECG diagnosed AF in a nationwide population from health check-up centers.MethodsThis observational study used cross-sectional and longitudinal studies with 2,083,984 subjects from 2009 to 2017. Age-, sex-, and regional-standardized prevalence of MAFLD was estimated. Latent class analysis (LCA) was used to identify subclusters of MAFLD. Multivariable logistic regression and mixed-effects Cox regression models were used to analyze the relationship between MAFLD and AF.ResultsThe prevalence of MAFLD increased from 22.75% to 35.58% during the study period, with higher rates in males and populations with high BMI or resided in northern regions. The MAFLD population was clustered into three classes with different metabolic features by LCA. Notably, a high proportion of MAFLD patients in all clusters had overweight and prediabetes or diabetes. The MAFLD was significantly associated with a higher risk of AF in the cross-sectional study and in the longitudinal study. In addition, the coexistence of prediabetes or diabetes had the largest impact on subsequent AF.ConclusionOur findings suggested a high prevalence of MAFLD and a high prevalence of other metabolic diseases in the MAFLD population, particularly overweight and glucose dysregulation. Moreover, MAFLD was associated with a significantly higher risk for existing and subsequent subclinical AF in the Chinese population.https://www.frontiersin.org/articles/10.3389/fendo.2022.1007171/fullmafldinsulin resistanceprevalenceatrial fibrillationassociation |
spellingShingle | Fang Lei Fang Lei Juan-Juan Qin Juan-Juan Qin Xiaohui Song Xiaohui Song Ye-Mao Liu Ye-Mao Liu Ye-Mao Liu Ming-Ming Chen Ming-Ming Chen Tao Sun Tao Sun Xuewei Huang Xuewei Huang Ke-Qiong Deng Ke-Qiong Deng Ke-Qiong Deng Xiuran Zuo Dongai Yao Li-Juan Xu Huiming Lu Gang Wang Feng Liu Lidong Chen Jie Luo Jiahong Xia Lin Wang QiongYu Yang Peng Zhang Peng Zhang Yan-Xiao Ji Yan-Xiao Ji Xiao-Jing Zhang Xiao-Jing Zhang Zhi-Gang She Zhi-Gang She Qiang Zeng Hongliang Li Hongliang Li Hongliang Li Hongliang Li Jingjing Cai Jingjing Cai The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China Frontiers in Endocrinology mafld insulin resistance prevalence atrial fibrillation association |
title | The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China |
title_full | The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China |
title_fullStr | The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China |
title_full_unstemmed | The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China |
title_short | The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China |
title_sort | prevalence of mafld and its association with atrial fibrillation in a nationwide health check up population in china |
topic | mafld insulin resistance prevalence atrial fibrillation association |
url | https://www.frontiersin.org/articles/10.3389/fendo.2022.1007171/full |
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