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Zhong J, Jiang J, Guo L, Liu Y, Wu S, Peng X, Chen S, Qin X, Dong S, Huang R, Zheng W. 10-year trajectory of Life's Essential 8 and incident hypertension: a community-based cohort study. Lipids Health Dis 2024; 23:278. [PMID: 39223616 PMCID: PMC11368014 DOI: 10.1186/s12944-024-02257-z] [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: 04/07/2024] [Accepted: 08/15/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND The health effects of Life's Essential 8 (LE8) on chronic diseases have been disclosed, but its association with hypertension remains unknown. The current study aimed to explore the potential link between 10-year LE8 trajectory and the incidence of hypertension. METHODS LE8 was constructed from four behaviors and four metabolic factors, ranging from 0 to 100. Latent mixture models were used to identify trajectories of LE8 scores during 2006 to 2016. Incident hypertension was diagnosed based on self-reported clinical diagnoses and physical examinations from 2016 to 2020. Cox models were employed to assess the association of LE8 trajectories with hypertension. In addition to incorporating the mean hs-CRP levels from 2006 to 2016, age, sex, monthly income, educational level, and occupation at recruitment were adjusted for as confounding factors. RESULTS 7500 participants aged 40.28 ± 10.35 years were included in the study, of whom 2907 (38.76%) were women. Five LE8 trajectory patterns were identified. After around four-year follow-up, 667 hypertension events were observed. Compared to the Low-Stable trajectory, the hazard ratios and 95% confidence intervals for the Moderate-Increasing, Moderate-Decreasing, Moderate-Stable, and High-Stable trajectories were 0.51 (0.40, 0.65), 0.81 (0.64, 1.02), 0.45 (0.36, 0.58), 0.23 (0.16, 0.33), respectively. The risk of incident hypertension decreased as participants improved their LE8 status. The robustness of the primary results was confirmed through several sensitivity analyses. CONCLUSIONS LE8 trajectories were associated with the incident hypertension. People who improved their LE8 scores over time experienced a decreased risk of hypertension, even if they started with lower LE8 scores initially.
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Affiliation(s)
- Jiwen Zhong
- Department of Critical Care Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, 51900, Guangdong, China
| | - Jinguo Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, China Medical University, Shenyang, Liaoning, China
| | - Liang Guo
- Department of Cardiology, Renmin Hospital of Wuhan University, 430060, Wuchang, Wuhan, China
- Hubei Key Laboratory of Cardiology, 430060, Wuchang, Wuhan, China
| | - Yang Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38# Xueyuan Road, Haidian District, 100191, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, 063000, Tangshan, Hebei Province, China
| | - Xinyi Peng
- Hypertension Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases of China, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100037, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, 063000, Tangshan, Hebei Province, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38# Xueyuan Road, Haidian District, 100191, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Shaohong Dong
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, The Second Clinical Medical College, The First Affiliated Hospital, Shenzhen People's Hospital, Jinan University, Southern University of Science and Technology), 518020, Shenzhen, Guangdong, China
| | - Ruijun Huang
- Department of Critical Care Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, 51900, Guangdong, China.
| | - Wei Zheng
- Department of Critical Care Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, 51900, Guangdong, China.
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Zhang Y, Liu D, Cai X, Jin A, Mei L, Jing J, Wang S, Meng X, Li S, Wang M, Yan H, Wei T, Wang Y, Pan Y. Associations of life's essential 8 with extent of multi-territorial atherosclerotic plaques and stenosis: a cross-sectional study. BMC Geriatr 2024; 24:503. [PMID: 38844834 PMCID: PMC11157784 DOI: 10.1186/s12877-024-05119-6] [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: 11/23/2023] [Accepted: 05/29/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Life's Essential 8 (LE8), the recently updated construct for quantifying cardiovascular health, is related to the risks of cardiovascular events. The present study aimed to evaluate associations of LE8 score with the multi-territorial extent of atherosclerosis in a community-dwelling population. METHODS Data were derived from the baseline cross-sectional survey of the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study in Lishui City. The LE8 included overall, medical and behavior LE8 scores, and were categorized as low (< 60), moderate (60-<80), and high (≥ 80) groups. Vascular magnetic resonance imaging was used to evaluate intracranial and extracranial arteries; thoracoabdominal computed tomography angiography to evaluate coronary, subclavian, aorta, renal, ilio-femoral arteries; and ankle-brachial index to evaluate peripheral arteries. The presence of atherosclerotic plaque or stenosis in any territory was defined as plaque or vascular stenosis with 1 territory affected or more in these arteries. The extent of atherosclerotic plaques or stenosis was assessed according to the number of these 8 vascular sites affected, and graded as four grades (none, single territory, 2-3 territories, 4-8 territories). RESULTS Of 3065 included participants, the average age was 61.2 ± 6.7 years, and 53.5% were women (n = 1639). The moderate and high overall LE8 groups were associated with lower extent of multi-territorial plaques [common odds ratio (cOR) 0.44, 95% confidence interval (CI), 0.35-0.55; cOR 0.16, 95%CI, 0.12-0.21; respectively] and stenosis (cOR 0.51, 95%CI, 0.42-0.62; cOR 0.16, 95%CI, 0.12-0.21; respectively) after adjustment for potential covariates. Similar results were observed for medical LE8 score with the extent of multi-territorial plaques and stenosis (P < 0.05). We also found the association between behavior LE8 score and the extent of multi-territorial stenosis (P < 0.05). CONCLUSIONS The higher LE8 scores, indicating healthier lifestyle, were associated with lower presence and extent of atherosclerotic plaque and stenosis in southern Chinese adults. Prospective studies are needed to further validate these findings.
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Affiliation(s)
- Yanli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Dandan Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xueli Cai
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Suying Wang
- Department of Neurology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Shan Li
- Cerebrovascular Research Lab, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Mengxing Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Hongyi Yan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China.
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
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Huang Z, Chen Z, Wang X, Ding X, Cai Z, Li W, Cai Z, Lan Y, Chen G, Fang W, Wu S, Chen Y. Association of Cardiovascular Health Score Trajectory With Incident Myocardial Infarction in Hypertensive Patients. Hypertension 2022; 79:2622-2630. [PMID: 36082672 DOI: 10.1161/hypertensionaha.122.19633] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND The association between changes in cardiovascular health score (CHS) over time and myocardial infarction (MI) risk in hypertensive patients remains unclear. METHOD This was a prospective study comprising 17 374 hypertensive patients from the Kailuan study cohort who underwent 3 surveys and were identified to be free of MI, stroke, or cancer from 2006 to 2010. CHS consisted of 7 cardiovascular health metrics (plasma glucose, total cholesterol, blood pressure, smoking, body mass index, physical activity, salt intake), ranging from 0 (worst) to 13 (best) in the study. CHS trajectories were developed during 2006 to 2010 to predict the MI risk from 2010 to 2020. Additionally, the Cox proportional hazard model was established to calculate the hazard ratio and 95% CI of incident MI in different trajectory groups. RESULT This study identified the 5 CHS trajectories from 2006 to 2010: low-stable (n=1161; range, 4.7-4.5), moderate-decreasing (n=3928; decreased from 6.9 to 6.0), moderate-increasing (n=1014; increased from 5.6 to 7.8), high-stable I (n=7940; range, 8.1-8.2), and high-stable II (n=3331; range, 9.2-9.7). During the median follow-up of 10.04 years, 288 incident MI cases were identified. After adjusting for potential confounders, compared with low-stable group, the hazard ratio and 95% CI of MI were 0.24 (0.15-0.40) for high-stable II, 0.36 (0.24-0.54) for high-stable I, 0.46 (0.25-0.83) for moderate-increasing, and 0.61 (0.41-0.90) for moderate-decreasing, respectively. CONCLUSIONS In hypertensive patients, high-stable CHS or improvement in CHS is associated with a lower risk of incident MI, when compared with low-stable CHS trajectory over time.
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Affiliation(s)
- Zegui Huang
- Shantou University Medical College, China
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China]
| | - Zekai Chen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, the Netherlands (Z. Chen)
| | - Xianxuan Wang
- Shantou University Medical College, China (Z.H., X.W., Zhiwei Cai, W.F.)
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Xiong Ding
- School of Public Health, Wuhan University, China (X.D.)
| | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Weijian Li
- Department of Cardiology, Shenzhen Luohu People's Hospital, China (W.L.)
| | - Zhiwei Cai
- Shantou University Medical College, China (Z.H., X.W., Zhiwei Cai, W.F.)
| | - Yulong Lan
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Guanzhi Chen
- China Medical University, Shenyang, China (G.C.)
| | - Wei Fang
- Shantou University Medical College, China (Z.H., X.W., Zhiwei Cai, W.F.)
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China (Z.H., X.W., Zefeng Cai, Y.L., W.F., Y.C.)
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, China
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Sang Y, Mao K, Cao M, Wu X, Ruan L, Zhang C. Longitudinal association between cardiovascular health and arterial stiffness in the Chinese adult population. J Int Med Res 2021; 49:300060521998889. [PMID: 33787372 PMCID: PMC8020111 DOI: 10.1177/0300060521998889] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Objective Arterial stiffness may be an intermediary biological pathway involved in the
association between cardiovascular health (CVH) and cardiovascular disease.
We aimed to evaluate the effect of CVH on progression of brachial–ankle
pulse wave velocity (baPWV) over approximately 4 years. Methods We included 1315 cardiovascular disease-free adults (49±12 years) who had two
checkups from 2010 to 2019. CVH metrics (current smoking, body mass index,
total cholesterol, blood pressure, and fasting plasma glucose) were assessed
at baseline, and the number of ideal CVH metrics and CVH score were
calculated. Additionally, baPWV was examined at baseline and follow-up. Results Median baPWV increased from 1340 cm/s to 1400 cm/s, with an average annual
change in baPWV of 15 cm/s. More ideal CVH metrics and a higher CVH score
were associated with lower baseline and follow-up baPWV, and the annual
change in baPWV, even after adjustment for confounding variables.
Associations between CVH parameters and baseline and follow-up baPWV
remained robust in different sex and age subgroups, but they were only able
to predict the annual change in baPWV in men and individuals older than 50
years. Conclusions Our findings highlight the benefit of a better baseline CVH profile for
progression of arterial stiffness.
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Affiliation(s)
- Yu Sang
- Department of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kaimin Mao
- Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ming Cao
- Department of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaofen Wu
- Department of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lei Ruan
- Department of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Cuntai Zhang
- Department of Geriatrics, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
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5
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Nonterah EA, Crowther NJ, Oduro A, Agongo G, Micklesfield LK, Boua PR, Choma SSR, Mohamed SF, Sorgho H, Tollman SM, Norris SA, Raal FJ, Grobbee DE, Ramsay M, Bots ML, Klipstein-Grobusch K. Poor cardiovascular health is associated with subclinical atherosclerosis in apparently healthy sub-Saharan African populations: an H3Africa AWI-Gen study. BMC Med 2021; 19:30. [PMID: 33563289 PMCID: PMC7874493 DOI: 10.1186/s12916-021-01909-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 01/13/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The cardiovascular health index (CVHI) introduced by the American Heart Association is a valid, accessible, simple, and translatable metric for monitoring cardiovascular health in a population. Components of the CVHI include the following seven cardiovascular risk factors (often captured as life's simple 7): smoking, dietary intake, physical activity, body mass index, blood pressure, glucose, and total cholesterol. We sought to expand the evidence for its utility to under-studied populations in sub-Saharan Africa, by determining its association with common carotid intima-media thickness (CIMT). METHODS We conducted a cross-sectional study involving 9011 participants drawn from Burkina Faso, Ghana, Kenya, and South Africa. We assessed established classical cardiovascular risk factors and measured carotid intima-media thickness of the left and right common carotid arteries using B-mode ultrasonography. Adjusted multilevel mixed-effect linear regression was used to determine the association of CVHI with common CIMT. In the combined population, an individual participant data meta-analyses random-effects was used to conduct pooled comparative sub-group analyses for differences between countries, sex, and socio-economic status. RESULTS The mean age of the study population was 51 ± 7 years and 51% were women, with a mean common CIMT of 637 ± 117 μm and CVHI score of 10.3 ± 2.0. Inverse associations were found between CVHI and common CIMT (β-coefficients [95% confidence interval]: Burkina Faso, - 6.51 [- 9.83, - 3.20] μm; Ghana, - 5.42 [- 8.90, - 1.95]; Kenya, - 6.58 [- 9.05, - 4.10]; and South Africa, - 7.85 [- 9.65, - 6.05]). Inverse relations were observed for women (- 4.44 [- 6.23, - 2.65]) and men (- 6.27 [- 7.91, - 4.64]) in the pooled sample. Smoking (p < 0.001), physical activity (p < 0.001), and hyperglycemia (p < 0.001) were related to CIMT in women only, while blood pressure and obesity were related to CIMT in both women and men (p < 0.001). CONCLUSION This large pan-African population study demonstrates that CVHI is a strong marker of subclinical atherosclerosis, measured by common CIMT and importantly demonstrates that primary prevention of atherosclerotic cardiovascular disease in this understudied population should target physical activity, smoking, obesity, hypertension, and hyperglycemia.
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Affiliation(s)
- Engelbert A Nonterah
- Clinical Sciences Department, Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana. .,Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Services, University of the Witwatersrand, Johannesburg, South Africa
| | - Abraham Oduro
- Clinical Sciences Department, Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Godfred Agongo
- Clinical Sciences Department, Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Lisa K Micklesfield
- MRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Palwendé R Boua
- Institut de Recherché en Sciences de la Santé, Clinical Research Unit of Nanoro, Nanoro, Burkina Faso
| | - Solomon S R Choma
- DIMAMO Health Demographic Surveillance Site, Department of Pathology and Medical Sciences, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South Africa
| | | | - Herman Sorgho
- Institut de Recherché en Sciences de la Santé, Clinical Research Unit of Nanoro, Nanoro, Burkina Faso
| | - Stephen M Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shane A Norris
- MRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Frederick J Raal
- Carbohydrate and Lipid Metabolism Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Diederick E Grobbee
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Michelé Ramsay
- Sydney Brenner Institute of Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Michiel L Bots
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Kerstin Klipstein-Grobusch
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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Gaye B, Tajeu GS, Vasan RS, Lassale C, Allen NB, Singh-Manoux A, Jouven X. Association of Changes in Cardiovascular Health Metrics and Risk of Subsequent Cardiovascular Disease and Mortality. J Am Heart Assoc 2020; 9:e017458. [PMID: 32985301 PMCID: PMC7792367 DOI: 10.1161/jaha.120.017458] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background The extent to which change in cardiovascular health (CVH) in midlife reduces risk of subsequent cardiovascular disease and mortality is unclear. Methods and Results CVH was computed at 2 ARIC (Atherosclerosis Risk in Communities) study visits in 1987 to 1989 and 1993 to 1995, using 7 metrics (smoking, body mass index, total cholesterol, blood glucose, blood pressure, physical activity, and diet), each classified as poor, intermediate, and ideal. Overall CVH was classified as poor, intermediate, and ideal to correspond to 0 to 2, 3 to 4, and 5 to 7 metrics at ideal levels. There 10 038 participants, aged 44 to 66 years that were eligible. From the first to the second study visit, there was an improvement in overall CVH for 17% of participants and a decrease in CVH for 21% of participants. At both study visits, 28%, 27%, and 6% had poor, intermediate, and ideal overall CVH, respectively. Compared with those with poor CVH at both visits, the risk of cardiovascular disease (hazard ratio [HR], 0.26; 95% CI, 0.20–0.34) and mortality (HR, 0.35; 95% CI, 0.29–0.44) was lowest in those with ideal CVH at both measures. Improvement from poor to intermediate/ideal CVH was also associated with a lower risk of cardiovascular disease (HR, 0.67; 95% CI, 0.59–0.75) and mortality (HR, 0.80; 95% CI, 0.72–0.89). Conclusions Improvement in CVH or stable ideal CVH, compared with those with poor CVH over time, is associated with a lower risk of incident cardiovascular disease and all‐cause mortality. The change in smoking status and cholesterol may have accounted for a large part of the observed association.
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Affiliation(s)
- Bamba Gaye
- Department of Epidemiology INSERM U970 Paris Cardiovascular Research Center Paris France.,Université Paris Descartes Sorbonne Paris Cité Faculté de Médecine Paris France
| | - Gabriel S Tajeu
- Temple University TU Health Services Administration and Policy Philadelphia PA
| | - Ramachandran S Vasan
- School of Public Health Boston University Boston MA.,Framingham Heart Study Framingham MA.,Sections of Preventive Medicine & Epidemiology, and Cardiology Department of Medicine Boston University School of Medicine Boston MA
| | - Camille Lassale
- Hospital del Mar Research Institute Barcelona Spain.,CIBER of Pathophysiology of Obesity and Nutrition (CIBEROBN) Instituto de Salud Carlos III Madrid Spain
| | - Norrina B Allen
- The Northwestern University Feinberg School of Medicine Chicago IL
| | - Archana Singh-Manoux
- Inserm U1153 Epidemiology of Ageing and Neurodegenerative diseases Université de Paris France
| | - Xavier Jouven
- Department of Epidemiology INSERM U970 Paris Cardiovascular Research Center Paris France.,Université Paris Descartes Sorbonne Paris Cité Faculté de Médecine Paris France.,Cardiology Department AP-HP Georges Pompidou European Hospital Paris France
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7
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Wu S, An S, Li W, Lichtenstein AH, Gao J, Kris-Etherton PM, Wu Y, Jin C, Huang S, Hu FB, Gao X. Association of Trajectory of Cardiovascular Health Score and Incident Cardiovascular Disease. JAMA Netw Open 2019; 2:e194758. [PMID: 31150075 PMCID: PMC6547110 DOI: 10.1001/jamanetworkopen.2019.4758] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 04/08/2019] [Indexed: 12/12/2022] Open
Abstract
Importance The American Heart Association 2020 Strategic Impact Goals target an improvement in overall cardiovascular health, as assessed by 7 health metrics (smoking, body weight, physical activity, diet, plasma glucose level, plasma cholesterol level, and blood pressure). Objective To examine whether trajectories of overall cardiovascular health over time, as assessed by the cardiovascular health score (CHS) in 2006, 2008, and 2010, are associated with subsequent risk of CVD. Design, Setting, and Participants The Kailuan study is a prospective, population-based study that began in 2006. The cohort included 74 701 Chinese adults free of myocardial infarction, stroke, and cancer in or before 2010. In the present study, CHS trajectories were developed from 2006 to 2010 to predict CVD risk from 2010 to 2015. Data analysis was performed from January 1, 2006, to December 31, 2015. Exposures The CHS trajectories during 2006-2010 were identified using latent mixture models. Main Outcomes and Measures Incident CVD events (myocardial infarction and stroke) during 2010-2015 were confirmed by review of medical records. The CHS trajectories were determined using 7 cardiovascular health metrics scored as poor (0 points), intermediate (1 point), and ideal (2 points); total score ranges from 0 (worst) to 14 (best). Based on the baseline CHS and patterns over time, 5 trajectories were categorized (low-stable, moderate-increasing, moderate-decreasing, high-stable I, and high-stable II). Results Of the 74 701 adults included in the study (mean [SD] age at baseline, 49.6 [11.8] years), 58 216 (77.9%) were men and 16 485 (22.1%) were women. Five CHS trajectories were identified from 2006 to 2010: low-stable (n = 4393; range, 4.6-5.2), moderate-increasing (n = 4643; mean increase from 5.4 to 7.8), moderate-decreasing (n = 14 853; mean decrease from 7.4 to 6.3), high-stable I (n = 36 352; range, 8.8-9.0), and high-stable II (n = 14 461; range, 10.9-11.0). During 5 years of follow-up, 1852 incident CVD cases were identified. Relative to the low-stable trajectory, the high-stable II trajectory was associated with a lower subsequent risk of CVD (adjusted hazard ratio, 0.21; 95% CI, 0.16-0.26, after adjusting for age, sex, educational level, income, occupation, alcohol intake, and serum high-sensitivity C-reactive protein concentration at baseline). Conclusions and Relevance Cardiovascular health trajectories may be associated with subsequent CVD risk.
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Affiliation(s)
- Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, People’s Republic of China
| | - Shasha An
- Department of Emergency, HanDan Central Hospital, HanDan, People's Republic of China
| | - Weijuan Li
- Vanderbilt University Medical Center/Vanderbilt Heart and Vascular Institute, Nashville, Tennessee
| | - Alice H. Lichtenstein
- Cardiovascular Nutrition Laboratory, Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts
| | - Jingsheng Gao
- Department of Cardiology, Kailuan General Hospital, Tangshan, People’s Republic of China
| | | | - Yuntao Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, People’s Republic of China
| | - Cheng Jin
- Department of Cardiology, Kailuan General Hospital, Tangshan, People’s Republic of China
- Department of Nutritional Sciences, Pennsylvania State University, State College
| | - Shue Huang
- Department of Nutritional Sciences, Pennsylvania State University, State College
| | - Frank B. Hu
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Xiang Gao
- Department of Nutritional Sciences, Pennsylvania State University, State College
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Yang Y, Han X, Chen Y, Gao L, Yin X, Li H, Qiu J, Wang Y, Zhou Y, Xia Y. Association between modifiable lifestyle and the prevalence of atrial fibrillation in a Chinese population: Based on the cardiovascular health score. Clin Cardiol 2017; 40:1061-1067. [PMID: 28833291 PMCID: PMC6490344 DOI: 10.1002/clc.22771] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 07/07/2017] [Accepted: 07/11/2017] [Indexed: 11/21/2022] Open
Abstract
Background The Cardiovascular Health (CVH) Score was comprised of a series of modifiable lifestyle and health factors, which was published by American Heart Association in 2010. Its relationship with atrial fibrillation (AF) remains unclear. Hypothesis Individuals with a higher CVH Score had a lower risk of AF. Methods Participants ≥40 years of age were recruited from the Jidong community. Information regarding the following 7 CVH metrics, including smoking, body mass index, diet, physical activity, total cholesterol, and fasting blood glucose, were collected. AF was confirmed with a standard 12‐lead electrocardiography or based on the patients' medical histories. A multivariable logistic regression model was used to evaluate the relationship between ideal CVH and AF prevalence. Results This study included 4477 individuals, among whom 48 had AF (1.07%). Overall, participants with higher ideal components scores had a lower risk of AF (odds ratio [OR]: 0.78; 95% confidence intervals [CI]: 0.62‐0.97; P trend = 0.024). Subgroup analyses showed that the trend was consistent in the male participants ages 40 to 60 years. Moreover, patients with 5 to 7 ideal components or 3 to 4 ideal components were associated with 57% and 59% reduced risks for AF, respectively. We also detected a significant association between ideal health factors and the prevalence of AF (OR: 0.79; 95% CI: 0.68‐0.93; P = 0.004). Conclusions Ideal health behavior and factors are associated with lower prevalence of AF in a community‐based population. Improving healthy behavior and these factors may be beneficial to decrease the prevalence of AF.
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Affiliation(s)
- Yiheng Yang
- Department of CardiologyFirst Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Xu Han
- Department of CardiologyFirst Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Yue Chen
- Department of CardiologyFirst Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Lianjun Gao
- Department of CardiologyFirst Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Xiaomeng Yin
- Department of CardiologyFirst Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Huihua Li
- Institute of Cardiovascular DiseasesFirst Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Jing Qiu
- Human ResourceWuhan Hospital of Traditional Chinese MedicineWuhanChina
| | - Youxin Wang
- Beijing Municipal Key Laboratory of Clinical EpidemiologySchool of Public Health, Capital Medical UniversityBeijingChina
| | - Yong Zhou
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen HospitalCapital Medical UniversityBeijingChina
| | - Yunlong Xia
- Department of CardiologyFirst Affiliated Hospital of Dalian Medical UniversityDalianChina
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Santos IS, Goulart AC, Pereira AC, Lotufo PA, Benseñor IM. Association between Cardiovascular Health Score and Carotid Intima-Media Thickness: Cross-Sectional Analysis of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) Baseline Assessment. J Am Soc Echocardiogr 2016; 29:1207-1216.e4. [DOI: 10.1016/j.echo.2016.09.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2015] [Indexed: 12/22/2022]
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