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Boakye E, Oyeka CP, Kwapong YA, Metlock FE, Khan SS, Mamas MA, Perak AM, Douglas PS, Honigberg MC, Nasir K, Blaha MJ, Sharma G. Cardiovascular Risk Profile Among Reproductive-Aged Women in the U.S.: The Behavioral Risk Factor Surveillance System, 2015-2020. AJPM FOCUS 2024; 3:100210. [PMID: 38766464 PMCID: PMC11096844 DOI: 10.1016/j.focus.2024.100210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Introduction Suboptimal cardiovascular health is associated with adverse pregnancy outcomes and long-term cardiovascular risk. The authors examined trends in cardiovascular risk factors and correlates of suboptimal cardiovascular risk profiles among reproductive-aged U.S. women. Methods With data from 335,959 women in the Behavioral Risk Factor Surveillance System (2015-2020), the authors conducted serial cross-sectional analysis among nonpregnant reproductive-aged women (18-44 years) without cardiovascular disease who self-reported information on 8 cardiovascular risk factors selected on the basis of Life's Essential 8 metrics. The authors estimated the prevalence of each risk factor and suboptimal cardiovascular risk profile (≥2 risk factors) and examined trends overall and by age and race/ethnicity. Using multivariable Poisson regression, the authors assessed the sociodemographic correlates of suboptimal cardiovascular risk profile. Results The weighted prevalence of women aged <35 years was approximately 64% in each survey year. The prevalence of suboptimal cardiovascular risk profile increased modestly from 72.4% (71.6%-73.3%) in 2015 to 75.9% (75.0%-76.7%) in 2019 (p<0.001). This increase was mainly driven by increases in overweight/obesity (53.1%-58.4%; p<0.001). Between 2015 and 2019, significant increases in suboptimal cardiovascular risk profile were observed among non-Hispanic White (69.8%-72.6%; p<0.001) and Hispanic (75.1%-80.3%; p<0.001) women but not among non-Hispanic Black (82.7%-83.7%; p=0.48) or Asian (68.1%-73.2%; p=0.09) women. Older age, rural residence, and non-Hispanic Black and Hispanic race and ethnicity were associated with a higher prevalence of suboptimal cardiovascular risk profile. Conclusions There has been a modest but significant increase in suboptimal cardiovascular risk profile among U.S. women of reproductive age. Urgent preventive efforts are needed to reverse this trend and improve cardiovascular health, particularly among subgroups at increased risk, to mitigate its implications.
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Affiliation(s)
- Ellen Boakye
- Ciccarone Center for the Prevention of Cardiovascular Diseases, Johns Hopkins Medicine, Baltimore, Maryland
| | - Chigolum P. Oyeka
- Ciccarone Center for the Prevention of Cardiovascular Diseases, Johns Hopkins Medicine, Baltimore, Maryland
| | - Yaa A. Kwapong
- Ciccarone Center for the Prevention of Cardiovascular Diseases, Johns Hopkins Medicine, Baltimore, Maryland
| | | | - Sadiya S. Khan
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Mamas A. Mamas
- Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Staffordshire, United Kingdom
| | - Amanda M. Perak
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois
| | - Pamela S. Douglas
- Division of Cardiology, Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Michael C. Honigberg
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Khurram Nasir
- Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas
- Center for Outcomes Research, Houston Methodist, Houston, Texas
| | - Michael J. Blaha
- Ciccarone Center for the Prevention of Cardiovascular Diseases, Johns Hopkins Medicine, Baltimore, Maryland
| | - Garima Sharma
- Ciccarone Center for the Prevention of Cardiovascular Diseases, Johns Hopkins Medicine, Baltimore, Maryland
- Inova Schar Heart and Vascular, Inova Fairfax Medical Campus, Falls Church, Virginia
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Li C, Meng X, Zhang J, Wang H, Lu H, Cao M, Sun S, Wang Y. Associations of metabolic changes and polygenic risk scores with cardiovascular outcomes and all-cause mortality across BMI categories: a prospective cohort study. Cardiovasc Diabetol 2024; 23:231. [PMID: 38965592 PMCID: PMC11225301 DOI: 10.1186/s12933-024-02332-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Accepted: 06/22/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Associations between metabolic status and metabolic changes with the risk of cardiovascular outcomes have been reported. However, the role of genetic susceptibility underlying these associations remains unexplored. We aimed to examine how metabolic status, metabolic transitions, and genetic susceptibility collectively impact cardiovascular outcomes and all-cause mortality across diverse body mass index (BMI) categories. METHODS In our analysis of the UK Biobank, we included a total of 481,576 participants (mean age: 56.55; male: 45.9%) at baseline. Metabolically healthy (MH) status was defined by the presence of < 3 abnormal components (waist circumstance, blood pressure, blood glucose, triglycerides, and high-density lipoprotein cholesterol). Normal weight, overweight, and obesity were defined as 18.5 ≤ BMI < 25 kg/m2, 25 ≤ BMI < 30 kg/m2, and BMI ≥ 30 kg/m2, respectively. Genetic predisposition was estimated using the polygenic risk score (PRS). Cox regressions were performed to evaluate the associations of metabolic status, metabolic transitions, and PRS with cardiovascular outcomes and all-cause mortality across BMI categories. RESULTS During a median follow-up of 14.38 years, 31,883 (7.3%) all-cause deaths, 8133 (1.8%) cardiovascular disease (CVD) deaths, and 67,260 (14.8%) CVD cases were documented. Among those with a high PRS, individuals classified as metabolically healthy overweight had the lowest risk of all-cause mortality (hazard ratios [HR] 0.70; 95% confidence interval [CI] 0.65, 0.76) and CVD mortality (HR 0.57; 95% CI 0.50, 0.64) compared to those who were metabolically unhealthy obesity, with the beneficial associations appearing to be greater in the moderate and low PRS groups. Individuals who were metabolically healthy normal weight had the lowest risk of CVD morbidity (HR 0.54; 95% CI 0.51, 0.57). Furthermore, the inverse associations of metabolic status and PRS with cardiovascular outcomes and all-cause mortality across BMI categories were more pronounced among individuals younger than 65 years (Pinteraction < 0.05). Additionally, the combined protective effects of metabolic transitions and PRS on these outcomes among BMI categories were observed. CONCLUSIONS MH status and a low PRS are associated with a lower risk of adverse cardiovascular outcomes and all-cause mortality across all BMI categories. This protective effect is particularly pronounced in individuals younger than 65 years. Further research is required to confirm these findings in diverse populations and to investigate the underlying mechanisms involved.
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Affiliation(s)
- Cancan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Xiaoni Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Haotian Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Huimin Lu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Meiling Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Shengzhi Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China.
| | - Youxin Wang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China.
- School of Public Health, North China University of Science and Technology, 21 Bohaidadao, Caofeidian, Tangshan, 063210, China.
- Centre for Precision Medicine, Edith Cowan University, Perth, 6027, Australia.
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Wang Q, Schmidt AF, Lennon LT, Papacosta O, Whincup PH, Wannamethee G. Association of Life's Simple 7 lifestyle metric with cardiometabolic disease-free life expectancy in older British men. COMMUNICATIONS MEDICINE 2024; 4:104. [PMID: 38834824 DOI: 10.1038/s43856-024-00534-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 05/29/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Cardiometabolic diseases (CMD), including myocardial infarction, stroke, and type 2 diabetes, are leading causes of disability and mortality globally, particularly for people at an older age. The impact of adhering to the Life's Simple 7 (LS7) on the number of years an individual will live without CMD in older adults remains less studied. METHODS This study included a cohort of 2662 British men aged 60-79 years free of CMD at baseline from the British Regional Heart Study (BRHS). Each LS7 factor (BMI, blood pressure, blood glucose, total cholesterol, smoking, physical activity, and diet) was categorized as poor, intermediate, or ideal, and a composite LS7 adherence was determined by summing the number of LS7 ideal levels achieved. Flexible parametric Royston-Parmar proportional-hazards model was applied to estimate CMD-free life expectancy. RESULTS Here we show that compared to men with the lowest LS7 adherence [with 18.42 years (95% CI: 16.93, 19.90) of CMD-free life at age 60], men having an ideal LS7 adherence are estimated to gain an additional 4.37 years (95% CI: 2.95, 5.79) of CMD-free life. The CMD-free life gain benefits are consistent across social class groups of manual and non-manual workers. Among LS7 factors, achieving an ideal physical activity provides the largest CMD-free survival benefit: 4.84 years (95% CI: 3.37, 6.32) of additional CMD-free life compared with the physically inactive group. CONCLUSIONS Our study quantifies and highlights the benefits of adhering to the LS7 ideal levels for living a longer life without CMD in older adults.
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Affiliation(s)
- Qiaoye Wang
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK.
| | - Amand Floriaan Schmidt
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Lucy T Lennon
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Olia Papacosta
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Peter H Whincup
- Population Health Research Institute, St George's University of London, London, UK
| | - Goya Wannamethee
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK
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Song C, Cheng X, Bai Y. Association of change in cardiovascular health based on life's essential 8 with incident cardiovascular disease. Am J Prev Cardiol 2024; 18:100668. [PMID: 38646020 PMCID: PMC11033071 DOI: 10.1016/j.ajpc.2024.100668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 03/13/2024] [Accepted: 04/04/2024] [Indexed: 04/23/2024] Open
Abstract
Objective To evaluate whether and to what extent changes in cardiovascular health (CVH) based on life's essential 8 (LE8) are associated with incident cardiovascular disease (CVD). Methods A total of 7,194 participants were derived from UK Biobank. CVH was evaluated using a modified version of LE8. Participants were classified into three groups according to their LE8 score: high CVH (LE8 score≥80), moderate CVH (50≤LE8 score<80), and low CVH (LE8 score<50). Changes in CVH between 2006/2010 and 2012/2013 were analyzed. Results During a median of 10.3 years of follow-up, CVD was observed in 597 participants. Compared to the consistent moderate group, the moderate to low group was associated with about 128 % increased risk of CVD (Hazard ratio [HR]: 2.28; 95 % confidence interval [CI]: 1.61, 3.23), and the relevant HR (95 % CI) was 2.19 (1.46, 3.29) for the consistent low group; no statistically significant results were observed in the other groups. Moreover, no statistically significant exposure-response association between absolute change in LE8 score and incident CVD was documented (Poverall=0.15). Conclusion Change in CVH based on LE8 was associated with the risk of CVD; however, the relationship varied widely in different CVH change patterns.
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Affiliation(s)
- Chao Song
- Nosocomial Infection Control Center, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xunjie Cheng
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yongping Bai
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Huang L, Wang A, Wu Z, Chen S, Zheng Y, Wu S, Gao X. Life's essential 8 and risk of all-cause mortality in individuals with cardiovascular diseases: A prospective community-based study. Clin Cardiol 2024; 47:e24119. [PMID: 37994466 PMCID: PMC10823447 DOI: 10.1002/clc.24119] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/24/2023] [Accepted: 08/01/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Although risk factors for mortality in individuals with cardiovascular diseases (CVD) have been reported, little is known regarding the association between the comprehensive cardiovascular health (CVH) index assessed by life's essential 8 (LE8) and the risk of mortality. HYPOTHESIS The aim of this study was to evaluate the CVH assessed by LE8 and risk of mortality in individuals with CVD. METHODS A total of 1391 participants with CVD diagnosed before 2014 from the Kailuan cohort were included in the analysis. The CVH score ranged from 0 to 100 was assessed using the LE8 metrics (diet quality, physical activity, sleep health, cigarette smoking, body mass index, lipids, blood glucose, and blood pressure). Cox regression model was used to estimate the association between the CVH score and risk of all-cause mortality. RESULTS During a mean follow-up of 6.1 ± 1.5 years, 229 deaths occurred. The hazard ratio for all-cause mortality was 0.57 (95% confidence interval [CI]: 0.38, 0.84) in the highest quartiles compared with the lowest quartiles of CVH scores and 0.85 (95% CI: 0.75, 0.95) for each 10 points increment in CVH scores (ptrend = .009), after adjustment for age, sex, CVD duration, social-economic status, alcohol consumption, inflammation, medicine use, and kidney function. We did not observe significant interactions between the CVH scores and age, sex, and duration of CVD diagnosis (pinteraction > .05 for all). CONCLUSIONS The CVH assessed by the LE8 metrics was associated with a lower risk of all-cause mortality in individuals with CVD.
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Affiliation(s)
- Lili Huang
- Department of Nutrition and Food HygieneSchool of Public Health, Institute of NutritionShanghaiPeople's Republic of China
| | - Aitian Wang
- Department of Intensive MedicineKailuan General HospitalTangshanPeople's Republic of China
| | - Zhijun Wu
- Department of Cardiovascular Medicine, Ruijin HospitalShanghai Jiaotong University School of MedicineShanghaiPeople's Republic of China
| | - Shuohua Chen
- Department of CardiologyKailuan General HospitalTangshanPeople's Republic of China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life SciencesFudan UniversityShanghaiPeople's Republic of China
| | - Shouling Wu
- Department of CardiologyKailuan General HospitalTangshanPeople's Republic of China
| | - Xiang Gao
- Department of Nutrition and Food HygieneSchool of Public Health, Institute of NutritionShanghaiPeople's Republic of China
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Xia X, Chen S, Tian X, Xu Q, Zhang Y, Zhang X, Wang P, Wu S, Lin L, Wang A. Cardiovascular health and life expectancy with and without cardiovascular disease in the middle-aged and elderly Chinese population. BMC Public Health 2023; 23:2528. [PMID: 38110944 PMCID: PMC10726610 DOI: 10.1186/s12889-023-17456-z] [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: 06/16/2023] [Accepted: 12/11/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND High cardiovascular health (CVH) was associated with lower risk of cardiovascular disease (CVD) and longer life expectancy. However, whether life years lived without CVD could increase faster than or at least at the same pace as total lifespan remains unknown. We aimed to explore the associations of CVH status with total life expectancy and life years lived with and without CVD among middle-aged and elderly men and women. METHODS We included 65,587 participants aged ≥ 45 years from Kailuan study, who were recruited during June 2006 to October 2007. CVH was scored and classified (low [0-49 points], moderate [50-79 points] and high [80-100 points]) with Life's Essential 8, incorporating evaluations of health behaviors and factors. All-cause mortality and incident non-fatal CVD were recorded from baseline to December 31, 2020. The multi-state life table was adopted to explore the associations of CVH status with total life expectancy and life years lived with and without CVD. RESULTS Six thousand fifty eight cases of incident non-fatal CVD and 10,580 cases of deaths were identified. Men aged 45 years with low, moderate, and high CVH had a life expectancy of 33.0, 36.5 and 38.5 years, of which 7.8 (23.6%), 6.0 (16.3%) and 3.7 years (9.6%) were spent with CVD. For women, the corresponding life expectancy was 36.6, 43.6 and 48.6 years, and the remaining life years lived with CVD were 7.8 (21.3%), 6.0 (13.7%) and 4.5 years (9.3%), respectively. The benefits of high CVH were persistent across lifespan from age 45 to 85 years and consistent when CVH was evaluated with health behaviors and factors alone. CONCLUSIONS High CVH compared with low CVH was associated with longer total life expectancy and fewer years spent with CVD, indicating that promoting CVH is of great importance for CVD prevention and healthy ageing in China.
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Affiliation(s)
- Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University. No, 119 South 4 Ring West Road, Beijing, 100070, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital. Tangshan 063000, Hebei, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University. No, 119 South 4 Ring West Road, Beijing, 100070, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University. No, 119 South 4 Ring West Road, Beijing, 100070, China
| | - Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University. No, 119 South 4 Ring West Road, Beijing, 100070, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University. No, 119 South 4 Ring West Road, Beijing, 100070, China
| | - Penglian Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University. No, 119 South 4 Ring West Road, Beijing, 100070, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital. Tangshan 063000, Hebei, China
| | - Liming Lin
- Cardiovascular Laboratory of Kailuan General Hospital. No, 57 Xinhua East Road, Tangshan, 063000, Hebei, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Fengtai District, Beijing Tiantan Hospital, Capital Medical University. No, 119 South 4 Ring West Road, Beijing, 100070, China.
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Tian Q, Chen S, Meng X, Wang H, Li C, Zheng D, Wu L, Wang A, Wu S, Wang Y. Time spent in a better cardiovascular health and risk of cardiovascular diseases and mortality: a prospective cohort study. J Transl Med 2023; 21:469. [PMID: 37452344 PMCID: PMC10349449 DOI: 10.1186/s12967-023-04252-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 06/07/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND The protective effect of a higher ideal cardiovascular health (CVH) score on cardiovascular diseases (CVDs) and mortality is well recognized. However, little is known regarding the length of favorable CVH status associated with CVDs and mortality. This study aimed to examined whether the duration of better (ideal or intermediate) CVH is associated with risk of developing CVDs and mortality. METHODS This prospective cohort study used data from 83,536 individuals from 2006 to 2020 who were enrolled in the Kailuan Study. The CVH scores of individuals were assessed at visits 1, 2, 3, and 4, respectively. The years spent in better CVH were estimated for each individual as the number of examination cycles (0-4) in which the participant was in that CVH score ≥ 8 multiplied by 2 (the mean year interval of each visit). The primary outcomes are CVD events and all-cause mortality. RESULTS After a median follow-up period of 7.48 years, 5486 (7.07%) cases of incident CVD events and 7669 (9.18%) deaths occurred. Compared with participants in " ≤ 4 years" group, those who maintained for > 4 years had less likely to develop adverse outcomes (CVD events: hazard ratio (HR): 0.60, 95% confidence interval (CI 0.56-0.63; all-cause mortality: HR: 0.77, 95% CI 0.74-0.81). The number of years spent in better CVH was nonlinearly correlated with CVD events or mortality (all Ps for nonlinear < 0.05). The results indicated that maintaining more than 6 years in a better CVH status was associated with a decreased risk of CVD events or mortality. CONCLUSION Our study indicates that individuals maintaining more than 6 years in better CVH could increase cardiometabolic benefits and a lower risk of all-cause mortality.
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Affiliation(s)
- Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000, China
| | - Xiaoni Meng
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Haotian Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Cancan Li
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Deqiang Zheng
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China
| | - Aitian Wang
- Department of Intensive Medicine, Kailuan General Hospital, Tangshan, 063000, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000, China.
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069, China.
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Liu Q, Cui H, Chen S, Zhang D, Huang W, Wu S. Association of baseline Life's Essential 8 score and trajectories with carotid intima-media thickness. Front Endocrinol (Lausanne) 2023; 14:1186880. [PMID: 37334294 PMCID: PMC10272710 DOI: 10.3389/fendo.2023.1186880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 05/22/2023] [Indexed: 06/20/2023] Open
Abstract
Objective We aimed to examine the association between the baseline Life's Essential 8 (LE8) score and LE8 score trajectories with the continuous carotid intima-media thickness (cIMT) as well as the risk of high cIMT. Methods The Kailuan study has been an ongoing prospective cohort study since 2006. A total of 12,980 participants who completed the first physical examination and cIMT detection at follow-up without a history of CVD and missing data on the component of LE8 metrics in or before 2006 were finally included in the analysis. The LE8 score trajectories were developed from 2006 to 2010 using trajectory modeling of the SAS procedure Proc Traj. The measurement and result review of the cIMT were performed by specialized sonographers using standardized methods. According to quintiles of baseline LE8 score, participants were categorized into five groups: Q1, Q2, Q3, Q4, and Q5. Similarly, based on their LE8 score trajectories, they were classified into four groups: very low-stable group, low-stable group, median-stable group, and high-stable group. In addition to continuous cIMT measurement, we determined the high cIMT based on the age (by 5 years) and sex-specific 90th percentile cut point. To address aims 1 and 2, the association between baseline/trajectory groups and continuous cIMT/high cIMT was assessed by using SAS proc genmod to calculate β, relative risk (RR), and 95% confidence intervals (CI). Results A total of 12,980 participants were finally included in aim 1, and 8,758 participants met aim 2 of the association between LE8 trajectories and cIMT/high cIMT. Compared with the Q1 group, the continuous cIMT for Q2, Q3, Q4, and Q5 groups were thinner; the other groups had a lower risk of high cIMT. For aim 2, the results indicated that compared with a very low-stable group, the cIMT for the low-stable group, the median-stable group, and the high-stable group were thinner (-0.07 mm [95% CI -0.10~0.04 mm], -0.10 mm [95% CI -0.13~-0.07 mm], -0.12 mm [95% CI -0.16~-0.09 mm]) and had a lower risk of high cIMT. The RR (95% CI) for high cIMT was 0.84 (0.75~0.93) in the low-stable group, 0.63 (0.57~0.70) in the median-stable group, 0.52 (0.45~0.59) in the high-stable group. Conclusions In summary, our study revealed that high baseline LE8 scores and LE8 score trajectories were associated with lower continuous cIMT and attenuated risk of high cIMT.
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Affiliation(s)
- Qian Liu
- Lanzhou University Second Hospital, Lanzhou University, Lanzhou, China
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Haozhe Cui
- School of Medicine, Nankai University, Tianjin, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Dongyan Zhang
- Ultrasound Medicine Department, Kailuan General Hospital, Tangshan, China
| | - Wei Huang
- Ultrasound Medicine Department, Kailuan General Hospital, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
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Yi J, Wang L, Guo X, Ren X. Association of Life's Essential 8 with all-cause and cardiovascular mortality among US adults: A prospective cohort study from the NHANES 2005-2014. Nutr Metab Cardiovasc Dis 2023; 33:1134-1143. [PMID: 36775706 DOI: 10.1016/j.numecd.2023.01.021] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/02/2023] [Accepted: 01/23/2023] [Indexed: 01/30/2023]
Abstract
BACKGROUND AND AIMS This study aims to investigate the association of Life's Essential 8 (LE8), the recently updated algorithm for quantifying cardiovascular health (CVH) by the American Heart Association (AHA), with long-term outcomes among US adults. METHODS AND RESULTS This population-based prospective cohort study analyzed data of 23,110 participants aged 20 years or older from the National Health and Nutrition Examination Survey from 2005 to 2014 and their linked mortality data through December 2019. LE8 score (range 0-100) was measured according to AHA definitions and was categorized into low (0-49), moderate (50-79), and high (80-100) CVH. The weighted mean age of the study population was 47.0 years (95% confidence interval [CI], 46.4-47.5 years), and 11,840 were female (weighted percentage, 51.5%; 95% CI, 50.9-52.1%). During a median follow-up period of 113 months (up to 180 months), 2942 all-cause deaths occurred, including 738 CVD deaths. The LE8 score was significantly and inversely related to mortality from all causes (adjusted hazard ratio [HR] for per 10-score increase in LE8 score, 0.86; 95% CI, 0.82-0.90) and cardiovascular disease (adjusted HR for per 10-score increase in LE8 score, 0.81; 95% CI, 0.75-0.87). Compared with participants having low CVH, those having high CVH had a reduction of 40% (adjusted HR, 0.60; 95% CI, 0.48-0.75) in the risk for all-cause mortality and 54% (adjusted HR, 0.46; 95% CI, 0.31-0.68) in the risk for cardiovascular mortality. CONCLUSIONS Higher LE8 score was independently associated with lower risks of all-cause and cardiovascular mortality among US adults.
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Affiliation(s)
- Jiayi Yi
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Lili Wang
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xinli Guo
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xiangpeng Ren
- Department of Biochemistry, Medical College, Jiaxing University, Jiaxing, China.
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11
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Tian Q, Chen S, Zhang J, Li C, Wu S, Wang Y, Wang Y. Ideal cardiovascular health metrics and life expectancy free of cardiovascular diseases: a prospective cohort study. EPMA J 2023; 14:185-199. [PMID: 37275553 PMCID: PMC10236055 DOI: 10.1007/s13167-023-00322-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 05/03/2023] [Indexed: 06/07/2023]
Abstract
Objectives Whether cardiovascular health (CVH) metrics impact longevity with and without cardiovascular diseases (CVDs) has not been well established. This study aimed to investigate the association between CVH metrics and life expectancy in participants free of CVD events. We hypothesized that ideal CVH status was associated with increased life expectancy and assessed the effect of CVH status as a prevention target of longevity in the framework of predictive, preventive, and personalized medicine (PPPM/3PM). Methods A total of 92,795 participants in the Kailuan study were examined and thereafter followed up until 2020. We considered three transitions (from non-CVD events to incident CVD events, from non-CVD events to mortality, and from CVD events to mortality). The multistate lifetable method was applied to estimate the life expectancy. Results During a median follow-up of 13 years, 12,541 (13.51%) deaths occurred. Compared with poor CVH, ideal CVH attenuated the risk of incident CVD events and mortality without CVD events by approximately 58% and 27%, respectively. Women with ideal CVH at age 35 had a 5.00 (3.23-6.77) year longer life expectancy free of CVD events than did women with poor CVH metrics. Among men, ideal CVH was associated with a 6.74 (5.55-7.93) year longer life expectancy free of CVD events. Conclusion An ideal CVH status is associated with a lower risk of premature mortality and a longer life expectancy, either in the general population or in CVD patients, which are cost-effective ways for personalized medicine of potential CVD patients. Our findings suggest that the promotion of a higher CVH score or ideal CVH status would result in reduced burdens of CVD events and extended disease-free life expectancy, which offered an accurate prediction for primary care following the concept of PPPM/3PM. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-023-00322-8.
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Affiliation(s)
- Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069 China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000 China
| | - Jie Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069 China
| | - Cancan Li
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069 China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000 China
| | - Yanxiu Wang
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, 57 Xinhua East Road, Tangshan, 063000 China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, 10 YouanmenXitoutiao, Beijing, 100069 China
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1156] [Impact Index Per Article: 1156.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Jin C, Li J, Liu F, Li X, Hui Y, Chen S, Li F, Wang G, Liang F, Lu X, Wu S, Gu D. Life's Essential 8 and 10-Year and Lifetime Risk of Atherosclerotic Cardiovascular Disease in China. Am J Prev Med 2023; 64:927-935. [PMID: 36813641 DOI: 10.1016/j.amepre.2023.01.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 01/07/2023] [Accepted: 01/09/2023] [Indexed: 02/22/2023]
Abstract
INTRODUCTION Cardiovascular health level according to the American Heart Association's Life's Essential 8 (LE8) in China and its effectiveness on the 10-year and lifetime risk of atherosclerotic cardiovascular diseases is unclear. METHODS This prospective study included 88,665 participants in the China-PAR cohort (data from 1998 to 2020) and 88,995 in the Kailuan cohort (data from 2006 to 2019). Analyses were conducted by November 2022. LE8 was measured according to the American Heart Association's LE8 algorithm, and a high cardiovascular health status was defined as a LE8 score ≥80 points. Participants were followed for the primary composite outcomes, including fatal and nonfatal acute myocardial infarction, ischemic stroke, and hemorrhagic stroke. The lifetime risk was estimated from the cumulative risk of atherosclerotic cardiovascular diseases through ages 20-85 years, the association of LE8 and LE8 change with atherosclerotic cardiovascular diseases was assessed with the Cox proportional-hazards model, and partial population-attributable risks evaluated the proportion of atherosclerotic cardiovascular diseases that could be averted. RESULTS The mean LE8 score was 70.0 in the China-PAR cohort and 64.6 in the Kailuan cohort, with 23.3% and 8.0% of participants having a high cardiovascular health status, respectively. Participants in the highest quintile had about 60% lower 10-year and lifetime risk of atherosclerotic cardiovascular diseases in the China-PAR and Kailuan cohorts than participants with the lowest quintile LE8 score. If everyone maintained the highest quintile of LE8 score, approximately half of the atherosclerotic cardiovascular diseases could be prevented. The participant with LE8 score that increased from the lowest to the highest tertile during 2006-2012 had a 44% (hazard ratio=0.56; 95% CI=0.45, 0.69) lower observed risk and a 43% (hazard ratio=0.57; 95% CI=0.46, 0.70) lower lifetime risk of atherosclerotic cardiovascular diseases than those remaining in the lowest tertile in the Kailuan cohort. CONCLUSIONS The LE8 score was below optimal levels in Chinese adults. A high baseline LE8 score and an improving LE8 score were associated with decreased 10-year and lifetime risk of atherosclerotic cardiovascular diseases.
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Affiliation(s)
- Cheng Jin
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, China; Department of Cardiology, Kailuan General Hospital, Tangshan, China; School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Jianxin Li
- Department of Epidemiology, Fu wai Hospital, National Center for Atherosclerotic cardiovascular diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fangchao Liu
- Department of Epidemiology, Fu wai Hospital, National Center for Atherosclerotic cardiovascular diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xia Li
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, China; Department of Epidemiology and Biostatistics, School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Ying Hui
- Department of Cardiology, Kailuan General Hospital, Tangshan, China; Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shouhua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Furong Li
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, China; Department of Epidemiology and Biostatistics, School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Gang Wang
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Fengchao Liang
- Department of Epidemiology and Biostatistics, School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Xiangfeng Lu
- Department of Epidemiology, Fu wai Hospital, National Center for Atherosclerotic cardiovascular diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Dongfeng Gu
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, China; Department of Epidemiology, Fu wai Hospital, National Center for Atherosclerotic cardiovascular diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
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14
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Kwapong YA, Boakye E, Khan SS, Honigberg MC, Martin SS, Oyeka CP, Hays AG, Natarajan P, Mamas MA, Blumenthal RS, Blaha MJ, Sharma G. Association of Depression and Poor Mental Health With Cardiovascular Disease and Suboptimal Cardiovascular Health Among Young Adults in the United States. J Am Heart Assoc 2023; 12:e028332. [PMID: 36688365 PMCID: PMC9973664 DOI: 10.1161/jaha.122.028332] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 11/28/2022] [Indexed: 01/24/2023]
Abstract
Background Depression is a nontraditional risk factor for cardiovascular disease (CVD). Data on the association of depression and poor mental health with CVD and suboptimal cardiovascular health (CVH) among young adults are limited. Methods and Results We used data from 593 616 young adults (aged 18-49 years) from the 2017 to 2020 Behavioral Risk Factor Surveillance System, a nationally representative survey of noninstitutionalized US adults. Exposures were self-reported depression and poor mental health days (PMHDs; categorized as 0, 1-13, and 14-30 days of poor mental health in the past 30 days). Outcomes were self-reported CVD (composite of myocardial infarction, angina, or stroke) and suboptimal CVH (≥2 cardiovascular risk factors: hypertension, hypercholesterolemia, overweight/obesity, smoking, diabetes, physical inactivity, and inadequate fruit and vegetable intake). Using logistic regression, we investigated the association of depression and PMHDs with CVD and suboptimal CVH, adjusting for sociodemographic factors (and cardiovascular risk factors for the CVD outcome). Of the 593 616 participants (mean age, 34.7±9.0 years), the weighted prevalence of depression was 19.6% (95% CI, 19.4-19.8), and the weighted prevalence of CVD was 2.5% (95% CI, 2.4-2.6). People with depression had higher odds of CVD than those without depression (odds ratio [OR], 2.32 [95% CI, 2.13-2.51]). There was a graded association of PMHDs with CVD. Compared with individuals with 0 PMHDs, the odds of CVD in those with 1 to 13 PMHDs and 14 to 30 PHMDs were 1.48 (95% CI, 1.34-1.62) and 2.29 (95% CI, 2.08-2.51), respectively, after adjusting for sociodemographic and cardiovascular risk factors. The associations did not differ significantly by sex or urban/rural status. Individuals with depression had higher odds of suboptimal CVH (OR, 1.79 [95% CI, 1.65-1.95]) compared with those without depression, with a similar graded relationship between PMHDs and suboptimal CVH. Conclusions Depression and poor mental health are associated with premature CVD and suboptimal CVH among young adults. Although this association is likely bidirectional, prioritizing mental health may help reduce CVD risk and improve CVH in young adults.
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Affiliation(s)
- Yaa A. Kwapong
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
| | - Ellen Boakye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
| | | | - Michael C. Honigberg
- Department of MedicineMassachusetts General HospitalBostonMA
- Cardiovascular Research Center and Center for Genomic MedicineMassachusetts General HospitalBostonMA
- Cardiovascular Disease Initiative and Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of TechnologyCambridgeMA
| | - Seth S. Martin
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
| | - Chigolum P. Oyeka
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
| | - Allison G. Hays
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
| | - Pradeep Natarajan
- Department of MedicineMassachusetts General HospitalBostonMA
- Cardiovascular Research Center and Center for Genomic MedicineMassachusetts General HospitalBostonMA
- Cardiovascular Disease Initiative and Program in Medical and Population Genetics, Broad Institute of Harvard and Massachusetts Institute of TechnologyCambridgeMA
| | - Mamas A. Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis ResearchKeele UniversityKeeleUnited Kingdom
| | - Roger S. Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
| | - Michael J. Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
| | - Garima Sharma
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular DiseasesJohns Hopkins School of MedicineBaltimoreMD
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Ngwasiri C, Samadoulougou S, Cissé K, Aminde L, Kirakoya-Samadoulougou F. Changes in ideal cardiovascular health among Malawian adults from 2009 to 2017. Sci Rep 2022; 12:21937. [PMID: 36536000 PMCID: PMC9763343 DOI: 10.1038/s41598-022-26340-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Ideal Cardiovascular Health (CVH) is a concept defined by the American Heart Association (AHA) as part of its 2020 Impact Goals. Until now, changes in ideal CVH have been poorly evaluated in Sub-Saharan African populations. We aimed to investigate changes in the prevalence of ideal CVH and its components in a population of Malawian adults. Secondary analysis was done on cross-sectional data from 2009 to 2017, obtained from the Malawi STEPS surveys which included 5730 participants aged 25-64 years. CVH metrics categorized into "ideal (6-7 ideal metrics)", "intermediate (3-5 ideal metrics)" and "poor (0-2 ideal metrics)" were computed using blood pressure, body mass index (BMI), fasting glycaemia, fruit and vegetable intake, physical activity, smoking, and total cholesterol. Sampling weights were used to account for the sampling design, and all estimates were standardised by age and sex using the direct method. The mean participant age across both periods was 40.1 ± 12.4 years. The prevalence of meeting ≥ 6 ideal CVH metrics increased substantially from 9.4% in 2009 to 33.3% in 2017, whereas having ≤ 2 ideal CVH metrics decreased from 7.6% to 0.5% over this time. For the individual metrics, desirable levels of smoking, fruit and vegetable intake, physical activity, blood pressure (BP), total cholesterol and fasting glucose all increased during the study period whilst achievable levels of BMI (< 25 kg/m2) declined. From 2009 to 2017, the mean number of ideal CVH metrics was higher in women compared to men (from 2.1% to 5.1% vs 2.0% to 5.0%). However, poor levels of smoking and fruit and vegetable intake were higher in men compared to women (from 27.9% to 23.6% vs. 7.4%% to 1.9% , and from 33.7% to 42.9% vs 30.8% to 34.6%, respectively). Also, whilst achievable levels of BMI rose in men (from 84.4% to 86.2%) the proportion reduced in women (from 72.1% to 67.5% ). Overall, CVH improved in Malawian adults from 2009 to 2017 and was highest in women. However, the prevalence of poor fruit and vegetable intake, and poor smoking remained high in men whilst optimal levels of BMI was declined in women. To improve this situation, individual and population-based strategies that address body mass, smoking and fruit and vegetable intake are warranted for maximal health gains in stemming the development of cardiovascular events.
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Affiliation(s)
- Calypse Ngwasiri
- Clinical Research Education Networking and Consultancy (CRENC), RFMR+QFH, Yaoundé, Centre Region Cameroon ,grid.4989.c0000 0001 2348 0746Centre de Recherche en Épidémiologie, Biostatistique et Recherche Clinique, Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Route de Lennik 808, 1070 Belgium
| | - Sekou Samadoulougou
- grid.23856.3a0000 0004 1936 8390Centre for Research on Planning and Development, Université Laval, Quebec, QC G1V 0A6 Canada ,grid.421142.00000 0000 8521 1798Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute, Quebec, QC G1V 4G5 Canada
| | - Kadari Cissé
- grid.4989.c0000 0001 2348 0746Centre de Recherche en Épidémiologie, Biostatistique et Recherche Clinique, Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Route de Lennik 808, 1070 Belgium ,grid.457337.10000 0004 0564 0509Departement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso
| | - Leopold Aminde
- grid.1022.10000 0004 0437 5432School of Medicine, Griffith University, Brisbane, Australia
| | - Fati Kirakoya-Samadoulougou
- grid.4989.c0000 0001 2348 0746Centre de Recherche en Épidémiologie, Biostatistique et Recherche Clinique, Ecole de Santé Publique, Université Libre de Bruxelles, Brussels, Route de Lennik 808, 1070 Belgium
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16
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Hadaegh F, Hosseinpour-Niazi S, Deravi N, Hasheminia M, Moslehi N, Toreyhi H, Azizi F. Ideal cardiovascular health status and risk of cardiovascular disease and all-cause mortality: over a decade of follow-up in the Tehran lipid and glucose study. Front Cardiovasc Med 2022; 9:898681. [PMID: 35990976 PMCID: PMC9386047 DOI: 10.3389/fcvm.2022.898681] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveTo quantify the association between ideal cardiovascular health (CVH) metrics and incident cardiovascular disease (CVD) including different subtypes [coronary heart disease (CHD), stroke, and sudden death], and all-cause mortality in an Iranian population.MethodsThe study population included 6,388 participants (2,726 men) aged 48.0 ± 12.4 years free of CVD at baseline. We utilized the American Heart Association’s 2020 impact target criteria of ideal, intermediate, and poor CVH. The multivariate Cox proportional Hazard model, adjusted for age, sex, educational level, marital status, and family history of CVD, was applied to estimate the hazard ratio (HR) of outcomes per one additional metric of ideal CVH metrics. Furthermore, the risk was also calculated for ideal and intermediate categories considering poor category as a reference.ResultsDuring the median follow-up of 11.26 years, 692 CVD, 589 CHD, 130 stroke, 111 sudden death, and 519 all-cause mortality events were reported. All of the individual ideal CVH metrics were independent predictors except intermediate physical activity level for CVD, BMI < 25 kg/m2, and intermediate physical activity for all-cause mortality. Each additional metrics of ideal CVH decreased the risk by 31 (0.69, 0.65–0.73) for CVD, 32 (0.68, 0.64–0.73) for CHD, 31 (0.69, 0.60–0.80) for stroke, 25 (0.75, 0.64–0.88) for sudden death, and 13% (0.87, 0.81–0.93) for all-cause mortality events. Moreover, intermediate and ideal categories of CVH metrics were associated with lower risk for different CVD outcomes, i.e., 44 (0.56, 0.48–0.65) and 76% (0.24, 0.17–0.35) for CVD; 43 (0.57, 0.47–0.67) and 75% (0.25, 0.16–0.37) for CHD, 58 (0.42, 0.29–0.61) and 86% (0.14, 0.04–0.44) for stroke; 56 (0.44, 0.29–0.66) and 55% (0.45, 0.21–0.99) for sudden death; and 25 (0.75, 0.62–0.90) and 46% (0.54, 0.37–0.80) for all-cause mortality events, respectively. We also assessed the impact of changes in ideal CVH status from phase III to phase IV (2008–2011) on CVD events among 5,666 participants. Accordingly, compared to those remaining in the poor category, all of the changes in ideal CVH categories showed a lower risk for CVD events.ConclusionAmong the Iranian population, meeting higher ideal CVH metrics is associated with a lower risk of different CVD events and mortality outcomes.
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Affiliation(s)
- Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- *Correspondence: Farzad Hadaegh,
| | - Somayeh Hosseinpour-Niazi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Niloofar Deravi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nazanin Moslehi
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Toreyhi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research, Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Lloyd-Jones DM, Allen NB, Anderson CAM, Black T, Brewer LC, Foraker RE, Grandner MA, Lavretsky H, Perak AM, Sharma G, Rosamond W. Life's Essential 8: Updating and Enhancing the American Heart Association's Construct of Cardiovascular Health: A Presidential Advisory From the American Heart Association. Circulation 2022; 146:e18-e43. [PMID: 35766027 PMCID: PMC10503546 DOI: 10.1161/cir.0000000000001078] [Citation(s) in RCA: 613] [Impact Index Per Article: 306.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In 2010, the American Heart Association defined a novel construct of cardiovascular health to promote a paradigm shift from a focus solely on disease treatment to one inclusive of positive health promotion and preservation across the life course in populations and individuals. Extensive subsequent evidence has provided insights into strengths and limitations of the original approach to defining and quantifying cardiovascular health. In response, the American Heart Association convened a writing group to recommend enhancements and updates. The definition and quantification of each of the original metrics (Life's Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change. New metrics were considered, and the age spectrum was expanded to include the entire life course. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This presidential advisory introduces an enhanced approach to assessing cardiovascular health: Life's Essential 8. The components of Life's Essential 8 include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each metric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.
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