1
|
Liu C, Chong MC, Lee WL, Zhang HY, Zhang JH. Perceptions and self-management of a healthy diet among middle-aged adults with risk of stroke in North China: a qualitative exploration. BMJ Open 2024; 14:e081840. [PMID: 38772896 PMCID: PMC11110585 DOI: 10.1136/bmjopen-2023-081840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 05/08/2024] [Indexed: 05/23/2024] Open
Abstract
OBJECTIVE Although stroke is prevalent among older people, there is a rising incidence among the younger subpopulations, particularly middle-aged adults. A healthy diet is one of the key modifiable factors to primary prevention of stroke among these subpopulations, yet there is limited understanding of the dietary habits among middle agers who have the risk factor(s) but no occurrence of stroke. This study aims to explore the views on perceptions and the self-management of middle-aged adults at risk of stroke on a healthy diet and to identify the enablers and barriers that could inform the future development of dietary interventions. DESIGN This study used an interpretive descriptive qualitative design, employing semistructured purposive sampling for focus group discussions. Thematic analysis was conducted on the transcribed interviews and field notes, facilitated by NVivo 12.0 Plus software. SETTING Community settings in Zhengzhou City, Henan Province. PARTICIPANTS Middle-aged adults (aged 45-59) were identified as at risk of stroke due to the presence of one or more modifiable risk factors. RESULT A total of seven focus group discussions were audio recorded. Four main themes emerged, which were: (1) cognitive understanding of a healthy diet; (2) dietary practices; (3) knowledge acquisition and (4) barriers to dietary adherence. CONCLUSIONS The middle-aged adults at risk of stroke were generally aware of the risk and attempted to practise healthy eating. The existing educational programmes on following a healthy diet in the prevention of disease need to be made more comprehensible, accessible and equitable, especially for those from socioeconomically disadvantaged communities.
Collapse
Affiliation(s)
- Cui Liu
- Department of Nursing Science, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Mei Chan Chong
- Department of Nursing Science, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Wan Ling Lee
- Department of Nursing Science, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Hai Yan Zhang
- Faculty of Nursing, Xinxiang Medical University, Xinxiang City, China
| | - Jin Hua Zhang
- Faculty of Nursing, Xinxiang Medical University, Xinxiang City, China
| |
Collapse
|
2
|
Jiang L, Shen W, Wang A, Fang H, Wang Q, Li H, Liu S, Shen Y, Liu A. Cardiovascular Disease Burden Attributable to High Sodium Intake in China: A Longitudinal Study from 1990 to 2019. Nutrients 2024; 16:1307. [PMID: 38732554 PMCID: PMC11085757 DOI: 10.3390/nu16091307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 04/21/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Overconsumption of sodium has been identified as a key driving factor for diet-related cardiovascular diseases (CVDs). China, being a country bearing a hefty burden of CVD, has a large population with diverse cultural traditions and ethnic beliefs, which complicates the patterns of dietary sodium intake, necessitating a systematic investigation into the profile of the high sodium intake (HSI)-related burden of CVD within its subregions. This study aims to estimate the evolving patterns of HSI-induced CVD burden across China from 1990 to 2019. METHODS The methodology used in the Global Burden of Disease Study was followed to assess deaths and disability-adjusted life years (DALYs) by age, sex, region, and socio-demographic index (SDI). The estimated annual percentage change (EAPC) was calculated to quantify the secular changes in the age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR). RESULTS In 2019, 0.79 million deaths and 1.93 million DALYs of CVD were attributed to HSI, an increase of 53.91% and 39.39% since 1990, respectively. Nevertheless, a downward trend in ASMR (EAPC: -1.45, 95% CI: -1.55, -1.35) and ASDR (EAPC: -1.61, 95% CI: -1.68, -1.53) was detected over time. ASMR and ASDR were higher for males, individuals aged ≥60 years, and regions with low-middle SDI. A markedly negative association between the EAPC in both ASMR and ASDR and the SDI was found in 2019 (ρ = -0.659, p < 0.001 and ρ = -0.558, p < 0.001, respectively). CONCLUSIONS The HSI-induced CVD burden is gender-, age-, and socioeconomic-dependent. Integrated and targeted strategies for CVD prevention are anticipated in the future throughout China.
Collapse
Affiliation(s)
- Liying Jiang
- Jiading Central Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201899, China;
- Department of Prevention Medicine, College of Public Health, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Wanying Shen
- Department of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China; shenwanying-@outlook.com
| | - Anqi Wang
- Graduate School, Shanghai University of Traditional & Chinese Medicine, Shanghai 201203, China;
| | - Haiqin Fang
- Department of Nutrition Division I, China National Center for Food Safety Risk Assessment, Beijing 100022, China; (H.F.); (Q.W.); (H.L.); (S.L.)
| | - Qihe Wang
- Department of Nutrition Division I, China National Center for Food Safety Risk Assessment, Beijing 100022, China; (H.F.); (Q.W.); (H.L.); (S.L.)
| | - Huzhong Li
- Department of Nutrition Division I, China National Center for Food Safety Risk Assessment, Beijing 100022, China; (H.F.); (Q.W.); (H.L.); (S.L.)
| | - Sana Liu
- Department of Nutrition Division I, China National Center for Food Safety Risk Assessment, Beijing 100022, China; (H.F.); (Q.W.); (H.L.); (S.L.)
| | - Yi Shen
- Department of Epidemiology, School of Public Health, Nantong University, Nantong 226019, China; shenwanying-@outlook.com
| | - Aidong Liu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| |
Collapse
|
3
|
Yang Y, Piao W, Cai S, Huang K, Yuan C, Cheng X, Zhang L, Li Y, Zhao L, Yu D. Comparison of data-driven identified hypertension-protective dietary patterns among Chinese adults: based on a nationwide study. Eur J Nutr 2023; 62:2805-2825. [PMID: 37335360 DOI: 10.1007/s00394-023-03195-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 06/09/2023] [Indexed: 06/21/2023]
Abstract
PURPOSE Diet pattern (DP) is a key modifiable and cost-effective factor in hypertension (HTN) management. The current study aimed to identify and compare the hypertension-protective DPs among Chinese adults. METHODS 52,648 participants aged over 18 years were included from China Nutrition and Health Surveillance (CNHS) 2015-2017. Reduced rank regression (RRR) and partial least square regression (PLS) was applied to identify the DPs. Multivariable-adjusted logistic regression was used to assess the association between the DPs and HTN. RESULTS DPs derived by RRR and PLS were both featured by higher consumption of fresh vegetables and fruits, mushrooms and edible fungi, seaweeds, soybeans and related products, mixed legumes, dairy products, fresh eggs, and lower of refined grain consumption. Compared to the lowest quintile, participants in the highest quintile had lower odds of HTN (RRR-DP: OR = 0.77, 95% CI = 0.72-0.83; PLS-DP: OR = 0.76, 95% CI = 0.71-0.82; all p < 0.0001). Simplified DP scores were observed the same protective tendencies (Simplified RRR-DP: OR = 0.81, 95% CI = 0.75-0.87; Simplified PLS-DP: OR = 0.79, 95% CI = 0.74-0.85; all p < 0.0001) and showed effective extrapolation in subgroups defined by gender, age, location, lifestyle, and different metabolic conditions. CONCLUSIONS The identified DPs had high conformity with East Asian dietary habits, and significantly negative associations with HTN among Chinese adults. The simplified DP technique also indicated the potential for improving the extrapolation of the results of DP analysis related to HTN.
Collapse
Affiliation(s)
- Yuxiang Yang
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China
| | - Wei Piao
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China
- NHC Key Laboratory of Trace Element Nutrition, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China
| | - Shuya Cai
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China
| | - Kun Huang
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, China
| | - Xue Cheng
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmenwai, Beijing, 100069, China
| | - Yuge Li
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China
| | - Liyun Zhao
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
- NHC Key Laboratory of Trace Element Nutrition, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
| | - Dongmei Yu
- Department of Nutrition Surveillance, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
- NHC Key Laboratory of Trace Element Nutrition, Chinese Center for Disease Control and Prevention, No. 29 Nanwei Road, Beijing, 100050, China.
| |
Collapse
|
4
|
Hou J, Zhu L, Jin S, Li J, Xing Z, Wang Y, Wan X, Guo X, Wang A, Wang X, Liu J, Ma J, Zhou S, Zhang X, Zheng H, Wang J, Feng H, Sun S, Wang T. Prevalence of hypertension in endemic and non-endemic areas of Keshan disease: A cross-sectional study in rural areas of China. Front Nutr 2023; 10:1086507. [PMID: 36860691 PMCID: PMC9969988 DOI: 10.3389/fnut.2023.1086507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/30/2023] [Indexed: 02/16/2023] Open
Abstract
Background Hypertension is a major public health concern that strongly influences the quality of life of people worldwide. Keshan disease (KD) is an endemic cardiomyopathy related to low selenium, threatening residents in rural areas of 16 provinces in China. Furthermore, the prevalence of hypertension in the KD-endemic areas has been increasing annually. However, hypertension research associated with KD has only focused on endemic regions, and no studies have compared hypertension prevalence between endemic and non-endemic areas. Therefore, this study investigated the prevalence of hypertension to provide a basis for preventing and controlling hypertension in the KD-endemic areas, even in rural areas. Methods We extracted blood pressure information from cardiomyopathy investigation data from a cross-sectional study of the KD-endemic and non-endemic areas. The hypertension prevalence between the two groups was compared using the Chi-square test or Fisher s exact test. Additionally, Pearson's correlation coefficient was employed to evaluate the relationship between the per capita gross domestic product (GDP) and hypertension prevalence. Results There was a statistically significant increase of hypertension prevalence in the KD-endemic areas (22.79%, 95% confidence interval [CI]: 22.30-23.27%) over the non-endemic areas (21.55%, 95% CI: 21.09-22.02%). In the KD-endemic areas, more men had hypertension than women (23.90% vs. 21.65%, P < 0.001). Furthermore, the hypertension prevalence was higher in the north than in the south in the KD-endemic areas (27.52% vs. 18.76%, P < 0.001), non-endemic areas (24.86% vs. 18.66%, P < 0.001), and overall (26.17% vs. 18.68%, P < 0.001). Finally, the prevalence of hypertension positively correlated with per capita GDP at province level. Conclusions The increasing hypertension prevalence is a public health problem in the KD-endemic areas. Healthy diets, such as high consumption of vegetables and seafoods, and foods that are rich in selenium, might help prevent and control hypertension in the KD-endemic areas and other rural areas in China.
Collapse
Affiliation(s)
- Jie Hou
- Institute of Keshan Disease, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China,National Health Commission and Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University, Harbin, China,*Correspondence: Jie Hou,
| | - Lifang Zhu
- Institute of Keshan Disease, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China
| | - Shuran Jin
- Institute of Keshan Disease, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China
| | - Jinshu Li
- Sichuan Center for Disease Control and Prevention, Chengdu, China
| | - Zhifeng Xing
- Heilongjiang Provincial Center for Disease Control and Prevention, Harbin, China
| | - Yanling Wang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Xiaoyan Wan
- The Second Research Institute for Endemic Disease Control and Prevention of Jilin Province, Jilin City, China
| | - Xianni Guo
- Shaanxi Institute for Endemic Disease Control and Prevention, Xi’an, China
| | - Anwei Wang
- Yunnan Institute of Endemic Disease Control and Prevention, Dali, China
| | - Xiuhong Wang
- Shandong Provincial Institute for Endemic Disease Control, Jinan, China
| | - Jinming Liu
- The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Hohhot, China
| | - Jing Ma
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Shuang Zhou
- Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Xiangdong Zhang
- Shanxi Institute of Endemic Disease Control and Prevention, Linfen, China
| | - Heming Zheng
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Jianhui Wang
- Liaoning Center for Disease Control and Prevention, Shenyang, China
| | - Hongqi Feng
- Institute of Keshan Disease, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China,National Health Commission and Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University, Harbin, China
| | - Shuqiu Sun
- Institute of Keshan Disease, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China,National Health Commission and Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University, Harbin, China
| | - Tong Wang
- Institute of Keshan Disease, Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China,National Health Commission and Education Bureau of Heilongjiang Province, Key Laboratory of Etiology and Epidemiology, Harbin Medical University, Harbin, China,Tong Wang,
| |
Collapse
|
5
|
Han S, Mo G, Gao T, Sun Q, Liu H, Zhang M. Age, sex, residence, and region-specific differences in prevalence and patterns of multimorbidity among older Chinese: evidence from Chinese Longitudinal Healthy Longevity Survey. BMC Public Health 2022; 22:1116. [PMID: 35658851 PMCID: PMC9166487 DOI: 10.1186/s12889-022-13506-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Multimorbidity among older adults, which is associated with added functional decline and higher health care utilization and mortality, has become increasingly common with the dramatic acceleration of ageing in China. The purpose of this study was to reveal age, sex, residence, and region- specific prevalence and patterns of multimorbidity among older adults in China. METHODS This study is based on the 2018 Chinese Longitudinal Health Longevity Survey (CLHLS), the most recent edition of this national survey, and involved analysis of 15,275 participants aged 65 years and older. Multimorbidity was defined as an individual who has two or more chronic diseases or conditions and was divided into two types for analysis: ≥2 (MM2+) and ≥ 3 (MM3+). Fourteen chronic diseases or conditions surveyed were used to assess patterns of multimorbidity through association rule mining. RESULTS Among the 15,275 participants, the largest proportion (39.9%) was 90 years old and over, while the distribution of sex and residence is roughly the same. Overall, the prevalence of multimorbidity was 44.1% for MM2+ and 22.9% for MM3+. The most frequently occurring patterns were two or three combinations between hypertension, cardiovascular diseases and affective disorders. Cardiovascular diseases combined with diabetes or dyslipidemia showed the most predominant association in different age groups. Moreover, the prevalence of the hypertension +diabetes pattern decreased with age. The strongest associations were found for the clustering of hypertension + cardiovascular diseases + respiratory diseases in males, however, among females it was the cardiovascular diseases + diabetes cluster. Cardiovascular diseases + rheumatoid arthritis + visual impairment was observed in urban areas and hypertension + cardiovascular diseases + affective disorders in rural areas. The most distinctive association rule in Northern China was {cardiovascular diseases, hypertension, visual impairment} = > {diabetes}. Respiratory disease was more prevalent in combination with other systemic disorders in Western China, and affective disorders in Southern China. CONCLUSIONS The prevalence of multimorbidity among older Chinese was substantial, and patterns of multimorbidity varied by age, sex, residence, and region. Future efforts are needed to identify possible prevention strategies and guidelines that consider differences in demographic characteristics of multimorbid patients to promote health in older adults.
Collapse
Affiliation(s)
- Siyue Han
- School of Public Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Guangju Mo
- School of Public Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Tianjing Gao
- School of Public Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Qing Sun
- School of Public Health, Bengbu Medical College, Bengbu, 233030, Anhui, China
| | - Huaqing Liu
- School of Public Health, Bengbu Medical College, Bengbu, 233030, Anhui, China.
| | - Min Zhang
- School of Health Management, Bengbu Medical College, Bengbu, 233030, Anhui, China.
| |
Collapse
|
6
|
Zhu L, Meng D, Wang X, Chen X. Ferroptosis-Driven Nanotherapeutics to Reverse Drug Resistance in Tumor Microenvironment. ACS APPLIED BIO MATERIALS 2022; 5:2481-2506. [PMID: 35614872 DOI: 10.1021/acsabm.2c00199] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Ferroptosis, characterized by iron-dependent lipid reactive oxygen species (ROS) accumulation, is non-apoptotic programmed cell death highly relevant to tumor development. It was found to manipulate oncogenes and resistant mutations of cancer cells via lipid metabolism pathways converging on phospholipid glutathione peroxidase (GPX4) that squanders lipid peroxides (L-OOH) to block the iron-mediated reactions of peroxides, thus rendering resistant cancer cells vulnerable to ferroptotic cell death. By accumulating ROS and lipid peroxidation (LPO) products to lethal levels in tumor microenvironment (TME), ferroptosis-driven nanotherapeutics show a superior ability of eradicating aggressive malignancies than traditional therapeutic modalities, especially for the drug-resistant tumors with high metastasis tendency. Moreover, Fenton reaction, inhibition of GPX-4, and exogenous regulation of LPO are three major therapeutic strategies to induce ferroptosis in cancer cells, which were generally applied in ferroptosis-driven nanotherapeutics. In this review, we elaborate current trends of ferroptosis-driven nanotherapeutics to reverse drug resistance of tumors in anticancer fields at the intersection of cancer biology, materials science, and chemistry. Finally, their challenges and perspectives toward feasible translational studies are spotlighted, which would ignite the hope of anti-resistant cancer treatment.
Collapse
Affiliation(s)
- Liyun Zhu
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong 226011, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai 200444, China
| | - Danni Meng
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong 226011, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai 200444, China
| | - Xu Wang
- Hangzhou Medical College, Binjiang Higher Education Park, Binwen Road 481, Hangzhou 310053, China
| | - Xuerui Chen
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong 226011, China.,Cardiac Regeneration and Ageing Lab, Institute of Cardiovascular Sciences, Shanghai Engineering Research Center of Organ Repair, School of Life Science, Shanghai University, Shanghai 200444, China
| |
Collapse
|
7
|
Lei F, Qin JJ, Song X, Liu YM, Chen MM, Sun T, Huang X, Deng KQ, Zuo X, Yao D, Xu LJ, Lu H, Wang G, Liu F, Chen L, Luo J, Xia J, Wang L, Yang Q, Zhang P, Ji YX, Zhang XJ, She ZG, Zeng Q, Li H, Cai J. The prevalence of MAFLD and its association with atrial fibrillation in a nationwide health check-up population in China. Front Endocrinol (Lausanne) 2022; 13:1007171. [PMID: 36237179 PMCID: PMC9551383 DOI: 10.3389/fendo.2022.1007171] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND AND AIMS The 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. METHODS This 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. RESULTS The 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. CONCLUSION Our 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.
Collapse
Affiliation(s)
- Fang Lei
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Juan-Juan Qin
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Xiaohui Song
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Ye-Mao Liu
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, Huanggang Central Hospital, Huanggang, China
- Huanggang Institute of Translational Medicine, Huanggang Central Hospital, Huanggang, China
| | - Ming-Ming Chen
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Tao Sun
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Xuewei Huang
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Ke-Qiong Deng
- Department of Cardiology, Huanggang Central Hospital, Huanggang, China
- Huanggang Institute of Translational Medicine, Huanggang Central Hospital, Huanggang, China
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xiuran Zuo
- Department of Information, The Central Hospital of Wuhan, Wuhan, China
| | - Dongai Yao
- Physical Examination Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Li-Juan Xu
- Physical Examination Center, Renmin Hospital, Wuhan University, Wuhan, China
| | - Huiming Lu
- General Medical Department, CR & WISCO General Hospital, Wuhan, China
| | - Gang Wang
- Basic Medical Laboratory, General Hospital of Central Theater Command, Wuhan, China
| | - Feng Liu
- Information Center, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China
| | - Lidong Chen
- Department of Medical Examination Center, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Jie Luo
- Department of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China
| | - Jiahong Xia
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Wang
- Department of Hepatobiliary Surgery, Xi-Jing Hospital, Fourth Military Medical University, Xi’an, China
| | - QiongYu Yang
- Chinese Medicine Center, Shiyan Renmin Hospital, Shiyan, China
| | - Peng Zhang
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Yan-Xiao Ji
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Xiao-Jing Zhang
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Zhi-Gang She
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Qiang Zeng
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
- *Correspondence: Jingjing Cai, ; Hongliang Li, ; Qiang Zeng,
| | - Hongliang Li
- Department of Cardiology, Renmin Hospital, School of Basic Medical Science, Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
- Huanggang Institute of Translational Medicine, Huanggang Central Hospital, Huanggang, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
- *Correspondence: Jingjing Cai, ; Hongliang Li, ; Qiang Zeng,
| | - Jingjing Cai
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Jingjing Cai, ; Hongliang Li, ; Qiang Zeng,
| |
Collapse
|