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HU SS. Epidemiology and current management of cardiovascular disease in China. J Geriatr Cardiol 2024; 21:387-406. [PMID: 38800543 PMCID: PMC11112149 DOI: 10.26599/1671-5411.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Abstract
The Annual Report on Cardiovascular Health and Diseases in China (2022) intricate landscape of cardiovascular health in China. This is the fourth section of the report with a specific focus on epidemiology and current management of cardiovascular disease (CVD) in China. This section of the report highlights the epidemiological trends of CVD in China. It reveal a concerning rise in prevalence, with approximately 330 million affected individuals, including significant numbers with stroke, coronary artery disease (CAD), heart failure, and other conditions. CVD stands as the primary cause of mortality among both urban and rural populations, accounting for nearly half of all deaths in 2020. Mortality rates are notably higher in rural areas compared to urban centers since 2009. While age-standardized mortality rates have decreased, the absolute number of CVD deaths has increased, primarily due to population aging. Ischemic heart disease, hemorrhagic and ischemic strokes are the leading causes of CVD-related deaths. Notably, the burden of atherosclerotic cardiovascular disease has risen substantially, with atherosclerotic cardiovascular disease-related deaths increasing from 1990 to 2016. The incidence of ischemic stroke and ischemic heart disease has shown similar increasing trends over the past three decades. CAD mortality, particularly acute myocardial infarction, has been on the rise, with higher mortality rates observed in rural areas since 2016. The prevalence of CAD has increased significantly, with over 11 million patients identified in 2013. Studies assessing hospital performance in managing acute coronary syndrome reveal gaps in adherence to guideline-recommended strategies, with disparities in care quality across hospitals. However, initiatives like the China Patient-centered Evaluative Assessment of Cardiac Events (PEACE)-Retrospective AMI Study and the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) project aim to improve patient outcomes through enhanced care protocols. Moreover, advancements in medical technology, such as quantitative flow ratio-guided lesion selection during percutaneous coronary intervention, show promise in improving clinical outcomes for patients undergoing intervention.
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Affiliation(s)
- Sheng-Shou HU
- Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhu Q, Zhou M, Zare Sakhvidi MJ, Yang S, Chen S, Feng P, Chen Z, Xu Z, Liu Q, Yang J. Projecting heat-related cardiovascular mortality burden attributable to human-induced climate change in China. EBioMedicine 2024; 103:105119. [PMID: 38631093 PMCID: PMC11035030 DOI: 10.1016/j.ebiom.2024.105119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 03/27/2024] [Accepted: 04/01/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) has been found to be particularly vulnerable to climate change and temperature variability. This study aimed to assess the extent to which human-induced climate change contributes to future heat-related CVD burdens. METHODS Daily data on CVD mortality and temperature were collected in 161 Chinese communities from 2007 to 2013. The association between heat and CVD mortality was established using a two-stage time-series design. Under the natural forcing, human-induced, and combined scenarios, we then separately projected excess cause-/age-/region-/education-specific mortality from future high temperature in 2010-2100, assuming no adaptation and population changes. FINDINGS Under shared socioeconomic pathway with natural forcing scenario (SSP2-4.5-nat), heat-related attributable fraction of CVD deaths decreased slightly from 3.3% [95% empirical confidence interval (eCI): 0.3, 5.8] in the 2010s to 2.8% (95% eCI: 0.1, 5.2) in the 2090s, with relative change of -0.4% (95% eCI: -0.8, 0.0). However, for combined natural and human-induced forcings, this estimate would surge to 8.9% (95% eCI: 1.5, 15.7), 14.4% (95% eCI: 1.5, 25.3), 21.3% (95% eCI: -0.6, 39.4), and 28.7% (95% eCI: -3.3, 48.0) in the 2090s under SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios, respectively. When excluding the natural forcing, the number of human-induced heat-related CVD deaths would increase from approximately eight thousand (accounting for 31% of total heat-related CVD deaths) in the 2010s to 33,052 (68%), 63,283 (80%), 101,091 (87%), and 141,948 (90%) in the 2090s under SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios, respectively. Individuals with stroke, females, the elderly, people living in rural areas, and those with lower education level would exhibit heightened susceptibility to future high temperature. In addition, Southern and Eastern regions of China were expected to experience a faster increase in heat-related attributable fraction of CVD deaths. INTERPRETATION Human activities would significantly amplify the future burden of heat-related CVD. Our study findings suggested that active adaptation and mitigation measures towards future warming could yield substantial health benefits for the patients with CVD. FUNDING National Natural Science Foundation of China.
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Affiliation(s)
- Qiongyu Zhu
- The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Beijing, 100050, China
| | - Mohammad Javad Zare Sakhvidi
- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Siru Yang
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China
| | - Sujuan Chen
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China
| | - Puyu Feng
- College of Land Science and Technology, China Agricultural University, Beijing, 100193, China
| | | | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Qiyong Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Jun Yang
- The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China; School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China.
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Sun W, Shan S, Hou L, Li S, Cao J, Wu J, Yi Q, Luo Z, Song P. Socioeconomic disparities in the association of age at first live birth with incident stroke among Chinese parous women: A prospective cohort study. J Glob Health 2024; 14:04091. [PMID: 38587297 PMCID: PMC11000532 DOI: 10.7189/jogh.14.04091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024] Open
Abstract
Background Stroke has become a significant public health issue in China. Although studies have shown that women's age at first live birth (AFLB) might be associated with incident stroke, there is limited evidence on this relationship among Chinese parous women. Likewise, the nature of this association across urban-rural socioeconomic status (SES) has yet to be explored. In this prospective study, we sought to investigate the associations of women's AFLB with the risk of incident stroke and its subtypes (ischaemic stroke, intracerebral haemorrhage, and subarachnoid haemorrhage) and to explore the differences of these associations as well as the population-level impacts across SES classes. Methods We used data on 290 932 Chinese parous women from the China Kadoorie Biobank who were recruited in the baseline survey between 2004 and 2008 and followed up until 2015. We used latent class analysis to identify urban-rural SES classes and Cox proportional hazard regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for AFLB's association with incident stroke. We then calculated population attributable fraction (PAF) to demonstrate the population-level impact of later AFLB on stroke. Results Around 8.9% of parous women developed stroke after AFLB. Compared with women with AFLB <22 years, those with older AFLB had a higher risk of total stroke, with fully adjusted HRs (95% CI) of 1.71 (95% CI = 1.65-1.77) for 22-24 years and 3.37 (95% CI = 3.24-3.51) for ≥25 years. The associations of AFLB with ischaemic stroke were stronger among rural-low-SES participants. We found the highest PAFs of ischaemic stroke (60.1%; 95% CI = 46.2-70.3) associated with later AFLB for urban-high-SES individuals. Conclusions Older AFLB was associated with higher risks of incident stroke and its subtypes among Chinese parous women, with stronger associations between AFLB and ischaemic stroke among rural-low-SES participants. Targeted medical advice for pregnant women of different ages could have long-term benefits for stroke prevention.
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Pham HN, Ibrahim R, Sainbayar E, Aiti D, Mouhaffel R, Shahid M, Ozturk NB, Olson A, Ferreira JP, Lee K. Ischemic heart disease mortality in individuals with inflammatory bowel disease: A nationwide analysis of disparities in the United States. CARDIOVASCULAR REVASCULARIZATION MEDICINE 2024:S1553-8389(24)00072-1. [PMID: 38431496 DOI: 10.1016/j.carrev.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/05/2024]
Abstract
INTRODUCTION Inflammatory bowel disease (IBD) is linked to immune-mediated pathogenesis and a pro-inflammatory state, leading to accelerated atherosclerosis. This earlier onset of clinical cardiovascular disease poses significant morbidity and mortality. We sought to identify IHD mortality trends in individuals with IBD in the United States (US). METHODS Mortality due to ischemic heart diseases (IHD) as the underlying cause of death with the IBD as a contributor of death were queried from death certificates using the CDC database from 1999 to 2020. Yearly crude mortality rates (CMR) were estimated by dividing the death count by the respective population size, reported per 100,000 persons. Mortality rates were adjusted for age using the Direct method and compared by demographic subpopulations. Log-linear regression models were utilized to assess temporal variation (annual percentage change [APC]) in mortality. RESULTS Age-adjusted mortality rates (AAMR) decreased from 0.11 in 1999 to 0.07 in 2020, primarily between 1999 and 2018 (APC -4.41, p < 0.001). AAMR was higher among male (AAMR 0.08) and White (AAMR 0.08) populations compared to female populations (AAMR 0.06) and Black (AAMR 0.04) populations, respectively. No significant differences were seen when comparing mortality between urban (AAMR 0.07) and rural (AAMR 0.08) regions. Southern US regions (AAMR 0.06) had the lowest mortality rates when compared to the other US census regions: Northeastern (AAMR 0.08), Midwestern (AAMR 0.08), and Western (AAMR 0.08). CONCLUSION Disparities in IHD mortality exist among individuals with IBD in the US based on demographic factors, with an overall decline in mortality during the 22-year period. Further investigation is warranted to confirm these findings and evaluate for contributors to the observed disparities.
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Affiliation(s)
- Hoang Nhat Pham
- Department of Medicine, University of Arizona-Tucson, Tucson, AZ, United States of America
| | - Ramzi Ibrahim
- Department of Medicine, University of Arizona-Tucson, Tucson, AZ, United States of America. https://twitter.com/ramziw_
| | - Enkhtsogt Sainbayar
- Department of Medicine, University of Arizona-Tucson, Tucson, AZ, United States of America
| | - Danny Aiti
- Department of Medicine, Canton Medical Education Foundation-Northeast Ohio Medical University, Canton, OH, United States of America
| | - Rama Mouhaffel
- Department of Medicine, University of Arizona-Tucson, Tucson, AZ, United States of America
| | - Mahek Shahid
- Department of Medicine, University of Arizona-Tucson, Tucson, AZ, United States of America
| | - Nazli Begum Ozturk
- Department of Medicine, Beaumont Hospital, Royal Oak, MI, United States of America
| | - April Olson
- Department of Medicine, University of Arizona-Tucson, Tucson, AZ, United States of America
| | - João Paulo Ferreira
- Department of Medicine, University of Arizona-Tucson, Tucson, AZ, United States of America
| | - Kwan Lee
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ, United States of America
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Zhu Y, Wang Y, Shrikant B, Tse LA, Zhao Y, Liu Z, Wang C, Xiang Q, Rangarajan S, Li S, Liu W, Li M, Han A, Tang J, Hu B, Yusuf S, Li W. Socioeconomic disparity in mortality and the burden of cardiovascular disease: analysis of the Prospective Urban Rural Epidemiology (PURE)-China cohort study. Lancet Public Health 2023; 8:e968-e977. [PMID: 38000890 DOI: 10.1016/s2468-2667(23)00244-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/25/2023] [Accepted: 10/02/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND Although socioeconomic inequality in cardiovascular health has long been a public health focus, the differences in cardiovascular-disease burden and mortality between people with different socioeconomic statuses has yet to be adequately addressed. We aimed to assess the effects of socioeconomic status, measured via three socioeconomic-status indicators (ie, education, occupation, and household wealth and a composite socioeconomic-status disparity index, on mortality and cardiovascular-disease burden (ie, incidence, mortality, and admission to hospital) in China. METHODS For this analysis, we used data from the Prospective Urban Rural Epidemiology (PURE)-China cohort study, which enrolled adults aged 35-70 years from 115 urban and rural areas in 12 provinces in China between Jan 1, 2005, and Dec 31, 2009. Final follow-up was on Aug 30, 2021. Indicators of socioeconomic status were education, occupation, and household wealth; these individual indicators were also used to create an integrated socioeconomic-status index via latent class analysis. Standard questionnaires administered by trained researchers were used to obtain baseline data and were supplemeted by physical measurements. The primary outcomes were all-cause mortality, cardiovascular-disease mortality, non-cardiovascular-disease mortality, major cardiovascular disease, and cardiovascular-disease admission to hospital. Hazard ratios (HRs) and average marginal effects were used to assess the association between the primary outcomes and socioeconomic status. FINDINGS Of 47 931 participants enrolled in the PURE-China study, 47 278 (98·6%) had complete information on sex and follow-up. After excluding 1189 (2·5%) participants with missing data on education, household wealth, and occupation at baseline, 46 089 participants were included in this analysis. Median follow-up was 11·9 years (IQR 9·5-12·6); 26 860 (58·3%) of 46 089 participants were female and 19 229 (41·7%) were male. Having no or primary education, unskilled occupation, or being in the lowest third of household wealth was associated with a higher risk of all-cause mortality, cardiovascular-disease mortality, non-cardiovascular-disease mortality, major cardiovascular disease, and cardiovascular-disease admission to hospital compared with having higher education, a professional or managerial occupation, or more household wealth. After adjustment for confounders, people categorised as having low integrated socioeconomic status based on the index had a higher risk of all-cause mortality (HR 1·65 [95% CI 1·42-1·92]), cardiovascular-disease mortality (2·19 [1·68-2·85]), non-cardiovascular disease mortality (1·43 [1·18-1·72]), major cardiovascular disease (1·43 [1·27-1·61]) and cardiovascular-disease admission to hospital (1·14 [1·01-1·28]) compared with people categorised as having high integrated socioeconomic status. INTERPRETATION Socioeconomic-status inequalities in mortality and cardiovascular-disease outcomes exist in China. Targeted policies of equal health-care resource allocation should be promoted to equitably benefit people with fewer years of education and less household wealth. FUNDING Funding sources are listed at the end of the Article.
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Affiliation(s)
- Yingxuan Zhu
- Medical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Wang
- Medical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Bangdiwala Shrikant
- Population Health Research Institute and Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Lap Ah Tse
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yanyan Zhao
- Medical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Zhiguang Liu
- Clinical Trial Unit, Department of Pharmacy, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chuangshi Wang
- Medical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Quanyong Xiang
- Centers for Disease Control and Prevention in Jiangsu Province, Nanjing, China
| | - Sumathy Rangarajan
- Population Health Research Institute and Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Sidong Li
- Institute of Public Health Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Weida Liu
- State Key Laboratory for Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| | - Mengya Li
- Medical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Aiying Han
- Bayannao'er Center for Disease Control and Prevention, Bayannao'er, China
| | - Jinhua Tang
- Department of General Practice, Xiaohang Hospital, Nanjing, China
| | - Bo Hu
- Medical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Salim Yusuf
- Population Health Research Institute and Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada.
| | - Wei Li
- Medical Research and Biometrics Center, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
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Leveau CM, Hussein M, Tapia-Granados JA, Velázquez GA. Economic fluctuations and educational inequalities in premature ischemic heart disease mortality in Argentina. CAD SAUDE PUBLICA 2023; 39:e00181222. [PMID: 37255190 PMCID: PMC10549982 DOI: 10.1590/0102-311xen181222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 02/15/2023] [Accepted: 03/02/2023] [Indexed: 06/01/2023] Open
Abstract
Although mortality from ischemic heart disease has declined over the past decades in Argentina, ischemic heart disease remains one of the most frequent causes of death. This study aimed to describe the role of individual and contextual factors on premature ischemic heart disease mortality and to analyze how educational differentials in premature ischemic heart disease mortality changed during economic fluctuations in two provinces of Argentina from 1990 to 2018. To test the relationship between individual (age, sex, and educational level) and contextual (urbanization, poverty, and macroeconomic variations) factors, a multilevel Poisson model was estimated. When controlling for the level of poverty at the departmental level, we observed inequalities in premature ischemic heart disease mortality according to the educational level of individuals, affecting population of low educational level. Moreover, economic expansion was related to an increase in ischemic heart disease mortality, however, expansion years were not associated with increasing educational inequalities in ischemic heart disease mortality. At the departmental level, we found no contextual association beween area-related socioeconomic level and the risk of ischemic heart disease mortality. Despite the continuing decline in ischemic heart disease mortality in Argentina, this study highlighted that social inequalities in mortality risk increased over time. Therefore, prevention policies should be more focused on populations of lower socioeconomic status in Argentina.
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Affiliation(s)
- Carlos Marcelo Leveau
- Instituto de Producción, Economía y Trabajo, Universidad Nacional de Lanús, Lanús, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Mustafa Hussein
- Graduate School of Public Health, The City University of New York, New York, U.S.A
| | | | - Guillermo A Velázquez
- Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
- Instituto de Geografía, Historia y Ciencias Sociales, Consejo Nacional de Investigaciones Científicas y Técnicas/Universidad Nacional del Centro de la Provincia de Buenos Aires, Buenos Aires, Argentina
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Ma J, Zeng F, Han L, Guan Q. Educational level differences in the primary and secondary prevention of stroke. Prev Med 2022; 164:107283. [PMID: 36181771 DOI: 10.1016/j.ypmed.2022.107283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 09/01/2022] [Accepted: 09/24/2022] [Indexed: 10/31/2022]
Abstract
The aim of this study is to estimate the educational level differences in the primary and secondary prevention of stroke among the Chinese population. Data were obtained from the China Kadoorie Biobank (CKB) survey of 512,891 people aged 30-79 years in 10 geographic regions of China, which was conducted from 2002 to 2008. The Prediction for Atherosclerotic Cardiovascular Disease Risk in China model was used to identify individuals with a high estimated 10-year stroke risk. A total of 8884 participants (1.7%) had established stroke and 218,972 (42.7%) had a high stroke risk. In both primary and secondary prevention, the participants' educational level was positively associated with the control of smoking, blood pressure, consuming a healthy diet, and the use of antiplatelet, BP-lowering medications but negatively associated with higher physical activity levels (all Ptrend < 0.001). In addition, the positive associations were observed with the control of drinking and use of anti-hyperglycaemia medication for primary prevention (all Ptrend < 0.001) and with the use of lipid-lowering medication for secondary prevention (Ptrend = 0.019). The results of the interaction between education level and prevention level showed that, compared with participants in primary prevention, educational level disparities in those with secondary prevention had significantly higher use of antiplatelets and lipid-lowering drugs, achieving the physical activity goal and non-current drinker (all Pfor interaction < 0.05). A higher education level was associated with an increased acceptance of primary and secondary prevention strategies (not smoking or drinking, consuming a healthier diet) except for engaging in a suitable level of physical activity.
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Affiliation(s)
- Junrong Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou City, Guangdong Province, PR China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou City, Guangdong Province, PR China
| | - Liyuan Han
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo City, Zhejiang Province, PR China; Department of Neurology, Ningbo No. 2 Hospital, Ningbo City, Zhejiang Province, PR China.
| | - Qiongfeng Guan
- Department of Neurology, Ningbo No. 2 Hospital, Ningbo City, Zhejiang Province, PR China.
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Li S, Liu Z, Joseph P, Hu B, Yin L, Tse LA, Rangarajan S, Wang C, Wang Y, Islam S, Liu W, Lu F, Li Y, Hou Y, Qiang D, Zhao Q, Li N, Lei R, Chen D, Han A, Liu G, Zhang P, Zhi Y, Liu C, Yang J, Resalaiti A, Ma H, Ma Y, Liu Y, Xing X, Xiang Q, Liu Z, Sheng Y, Tang J, Liu L, Yusuf S, Li W. OUP accepted manuscript. Eur Heart J 2022; 43:2852-2863. [PMID: 35731140 DOI: 10.1093/eurheartj/ehac268] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 03/24/2022] [Accepted: 05/10/2022] [Indexed: 11/12/2022] Open
Affiliation(s)
- Sidong Li
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhiguang Liu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Philip Joseph
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Bo Hu
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Yin
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lap Ah Tse
- Division of Occupational and Environmental Health, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Sumathy Rangarajan
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Chuangshi Wang
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yang Wang
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shofiqul Islam
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Weida Liu
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fanghong Lu
- Shandong Academy of Medical Sciences, Basic Medical Institute, Jinan, China
| | - Yindong Li
- Shunyi District Center for Disease Control and Prevention, Beijing, China
| | - Yan Hou
- Balingqiao Community Health Service Center, Taiyuan, China
| | - Deren Qiang
- Wujin District Center for Disease Control and Prevention, Changzhou, China
| | - Qian Zhao
- West China Hospital of Sichuan University, Chengdu, China
| | - Ning Li
- Qingshanhu Community Health Service Station, Nanchang, China
| | - Rensheng Lei
- Center for Disease Control and Prevention of Nanchang County, Nanchang, China
| | - Di Chen
- Jishuitan Hospital, Beijing, China
| | - Aiying Han
- Bayannaoer Center for Disease Control and Prevention, Bayannaoer, China
| | - Guoqin Liu
- Jingle People's Hospital, Xinzhou, China
| | - Peng Zhang
- Health Center of Guanshan Town, Xi'an, China
| | - Yahong Zhi
- Hospital of Xi'an University of Electronic Science and Technology, Xi'an, China
| | - Chunmei Liu
- Mengla District Center for Disease Control and Prevention, Xishuangbanna, China
| | - Jinkui Yang
- Central hospitals of Menglong District, Xishuangbanna, China
| | | | - Haibin Ma
- Xining Center for Disease Control and Prevention, Xining, China
| | - Yuanting Ma
- Xining east area of Dongguan Street Community Health Service Center, Xining, China
| | - Yu Liu
- 242 Hospital, Shenyang, China
| | - Xiaojie Xing
- The Red Cross hospital of Shenyang, Shenyang, China
| | - Quanyong Xiang
- Jiangsu Centers for Disease Control and Prevention, Nanjing, China
| | - Zhengrong Liu
- Jiangxinzhou Community Health Service Center, Nanjing, China
| | - Yundong Sheng
- Jiangxinzhou Community Health Service Center, Nanjing, China
| | | | - Lisheng Liu
- Beijing Hypertension League Institute, Beijing, China
| | - Salim Yusuf
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Wei Li
- Medical Research and Biometrics Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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