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Després JP. Promotion of Cardiometabolic Health: A Personal Journey. Curr Cardiol Rep 2025; 27:20. [PMID: 39808344 PMCID: PMC11732953 DOI: 10.1007/s11886-024-02165-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/20/2024] [Indexed: 01/16/2025]
Abstract
PURPOSE OF REVIEW: Narrative review of the author's main contributions to the field of cardiovascular health spanning four decades, with a focus on findings related to 1- the pathophysiology of obesity, insulin resistance, type 2 diabetes and cardiovascular disease, and 2- the management/prevention of these conditions. Particular attention is given to the importance of regular physical activity. RECENT FINDINGS: Because behaviors and their physiological consequences are still not measured in clinical practice, it is proposed to systematically assess and target "lifestyle vital signs" (waist circumference, cardiorespiratory fitness, food-based diet quality and level of leisure-time physical activity) in primary care. However, cardiometabolic health of the population will not be substantially improved until our living and economic conditions are permissive to the adoption of healthy behaviors. Closing the gap between primary care and public health should be a priority to address the socioeconomic determinants of cardiometabolic health.
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Affiliation(s)
- Jean-Pierre Després
- Centre de recherche de l'Institut universitaire de cardiologie et de pneumologie de Québec - Université Laval, Québec, QC, Canada.
- Department of Kinesiology, Faculty of Medicine, Université Laval, Québec, QC, Canada.
- VITAM - Centre de recherche en santé durable, Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale, 2480, Chemin de La Canardière, Room 112, Québec, QC, G1J 2G1, Canada.
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Li J, Huang Y, Yang Z, Hao Y, Deng Q, Yang N, Han L, Xiao L, Wang H, Hao Y, Qi Y, Liu J. Life's Essential 8 cardiovascular health metrics and long-term risk of cardiovascular disease at different stages: A multi-stage analysis. Chin Med J (Engl) 2025; 138:00029330-990000000-01385. [PMID: 39763280 PMCID: PMC11882267 DOI: 10.1097/cm9.0000000000003460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2024] [Indexed: 03/09/2025] Open
Affiliation(s)
- Jiangtao Li
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Yulin Huang
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Zhao Yang
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Yongchen Hao
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Qiuju Deng
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Na Yang
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Lizhen Han
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Luoxi Xiao
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Haimei Wang
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Yiming Hao
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Yue Qi
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
| | - Jing Liu
- Department of Epidemiology, Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, National Clinical Research Center for Cardiovascular Diseases, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing 100029, China
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Zhang Y, Wang P, Tu F, Kang H, Fu C. Life's essential 8 and mortality in US adults with metabolic dysfunction-associated steatotic liver disease. BMC Public Health 2024; 24:3411. [PMID: 39696105 DOI: 10.1186/s12889-024-20919-6] [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: 09/11/2024] [Accepted: 12/02/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is linked to increased all-cause mortality due to metabolic dysfunctions like obesity, diabetes, and cardiovascular diseases. This study examines the association between Life's Essential 8 (LE8) scores and both all-cause and cardiovascular disease (CVD) mortality in MASLD participants. METHODS Data from 5,916 MASLD participants in the NHANES (2005-2018) were analyzed. Associations between LE8 scores and all-cause and CVD mortality were assessed using Cox proportional hazards models, with follow-up until December 31, 2019. Dose-response relationships and survival differences were evaluated using Kaplan-Meier survival curves and Restricted Cubic Spline models. RESULTS Over a median follow-up of 7.6 years, moderate and high LE8 scores were associated with 33% (HR: 0.67; 95% CI: 0.56-0.79) and 47% (HR: 0.53; 95% CI: 0.33-0.84) lower risk of all-cause mortality, respectively, compared to low scores. For CVD mortality, the adjusted HRs were 0.56 (95% CI: 0.41-0.78) and 0.35 (95% CI: 0.12-1.0). Higher LE8 scores were significantly associated with reduced cumulative incidence of all-cause and CVD mortality (log-rank P < 0.001). A 10-point increase in health behavior scores, particularly in diet, physical activity, and nicotine exposure, was linked to an 11% reduction in all-cause mortality risk and an 11% reduction in CVD mortality risk. Among health factors, only blood glucose showed a significant association with CVD mortality. CONCLUSION Higher LE8 scores in MASLD patients are associated with lower mortality risk, suggesting the potential value of promoting cardiovascular health in this population. Further research is needed to confirm these associations.
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Affiliation(s)
- Yingying Zhang
- Medical Laboratory Center, Affiliated Wuxi Fifth Hospital of Jiangnan University, No. 1215 Guangrui Road, Jiangsu, 214005, China
| | - Pingping Wang
- Department of Clinical Laboratory, Taizhou Second People's Hospital Affiliated to Yangzhou University, Jiangsu, China
| | - Fan Tu
- Medical Laboratory Center, Affiliated Wuxi Fifth Hospital of Jiangnan University, No. 1215 Guangrui Road, Jiangsu, 214005, China
| | - Hao Kang
- Research Center for Clinical Medical Sciences, Affiliated Wuxi Fifth Hospital of Jiangnan University, Jiangsu, China.
| | - Chengfeng Fu
- Respiratory and Critical Care Medicine, The Second People's Hospital of Banan District, No. 18, Huaxi New Village, Huaxi Street, Chongqing, 400054, China.
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Rosal MC, Almodóvar-Rivera I, Person SD, López-Cepero A, Kiefe CI, Tucker KL, Uribe-Jerez M, Rodríguez-Orengo J, Pérez CM. Psychological and socio-economic correlates of cardiovascular health among young adults in Puerto Rico. Am J Prev Cardiol 2024; 20:100875. [PMID: 39398440 PMCID: PMC11466558 DOI: 10.1016/j.ajpc.2024.100875] [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: 05/31/2024] [Revised: 09/12/2024] [Accepted: 09/23/2024] [Indexed: 10/15/2024] Open
Abstract
Objective We aimed to determine the relationship between socioeconomic and psychological factors and overall cardiovascular health (CVH), as defined by the American Heart Association's Life's Essential 8 (LE8), among young adults in Puerto Rico. Methods Participants were 2156 young adults, between the ages of 18-29 years, enrolled in the PR-OUTLOOK study. The analysis included survey, laboratory, and physical measurement data collected from September 2020 to November 2023. Assessed socioeconomic indicators included food insecurity, housing instability, economic insecurity, and subjective social standing. Evaluated psychological factors comprised symptoms of depression, anxiety, post-traumatic stress, and overall perceived stress. LE8 scores were calculated and classified as suboptimal (poor/intermediate range) vs. ideal CVH. Logistic regression models estimated associations between each socioeconomic and psychological measure and suboptimal CVH, and dominance analysis assessed the importance of each measure. Results Participants' mean age was 22.6 (SD = 3.1), 60.9 % were female, about one-third (34.2 %) had high school education or less, and over one-third had public or no health insurance (38.4 %). Participants reporting socioeconomic adversity (i.e., high food insecurity, housing instability and economic insecurity, and low subjective social standing) and elevated psychological symptoms (i.e., symptoms of anxiety, depression, post-traumatic stress, and overall perceived stress) had lower CVH scores. However, in the adjusted analysis, only lower subjective social standing (OR = 1.38, 95 % CI = 1.13-1.69) and elevated symptoms of anxiety (OR = 1.63, 95 % CI = 1.25-2.13) and depression (OR = 1.30, 95 % CI = 1.03-1.65) emerged as the primary contributors to suboptimal CVH (vs. ideal). Conclusion Efforts to preserve and enhance CVH among young Puerto Ricans on the island should target these factors.
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Affiliation(s)
- Milagros C. Rosal
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | - Israel Almodóvar-Rivera
- Department of Mathematical Sciences, College of Arts and Sciences, Mayaguez Campus, University of Puerto Rico, Mayaguez, PR, USA
| | - Sharina D. Person
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | | | - Catarina I. Kiefe
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | - Katherine L. Tucker
- Department of Biomedical and Nutritional Sciences, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Maria Uribe-Jerez
- Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Office of Health Equity, 55 Lake Avenue N, S2-106, Worcester, MA, USA
| | - José Rodríguez-Orengo
- Fundación de Investigación (FDI) Clinical Research, San Juan, PR, USA
- Department of Biochemistry, School of Medicine, University of Puerto Rico, San Juan, PR, USA
| | - Cynthia M. Pérez
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA
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Kang SY, Kim JH, Kim Y. Relationship Between the Risk of Obstructive Sleep Apnea and Cardiovascular Health in Middle-Aged Korean Men and Women: A Nationwide Study. J Clin Med 2024; 13:6702. [PMID: 39597846 PMCID: PMC11595229 DOI: 10.3390/jcm13226702] [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: 09/26/2024] [Revised: 10/23/2024] [Accepted: 11/04/2024] [Indexed: 11/29/2024] Open
Abstract
Background/Objectives: Cardiovascular health (CVH) can be conceptualized as encompassing seven health behaviors and metabolic factors that contribute to cardiovascular disease. We explored the relationship between the risk of obstructive sleep apnea (OSA) and CVH among middle-aged Korean adults. Methods: Data from 5909 participants, aged between 40 and 64 years, in the Korea National Health and Nutrition Examination Survey (2019-2021) were analyzed. The risk of OSA was assessed using STOP-Bang questionnaire. CVH metrics, including smoking status, diet, physical activity, body mass index (BMI), blood pressure, total cholesterol level, and fasting glucose concentration, were evaluated using American Heart Association criteria. Multivariate logistic regression analysis was employed to investigate the association between OSA risk and CVH. Results: Among study participants, 78.6% of men and 16.3% of women displayed moderate-to-high risk of OSA, while 45.4% of men and 17.2% of women exhibited poor CVH. The ORs (95% CIs) for poor CVH were 2.69 (2.08-3.49) for men at moderate risk of OSA and 6.54 (4.81-8.90) for those at high risk, compared to men at low risk. For women, the ORs were 3.21 (2.47-4.19) for those with moderate risk and 12.88 (6.29-26.38) for those with high risk of OSA, compared to women at low risk. CVH metrics associated with moderate-to-high OSA risk included high BMI, high blood pressure, elevated fasting glucose, and smoking. Conclusions: The risk of OSA was associated with poor CVH, while various CVH components were linked to moderate-to-high OSA risk. Managing both OSA and components of CVH is essential to minimize poor CVH.
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Affiliation(s)
- Seo Young Kang
- Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu-si 11759, Republic of Korea;
| | - Jung Hwan Kim
- Department of Family Medicine, Gangnam Eulji Medical Center, Seoul 06047, Republic of Korea;
| | - Yunmi Kim
- College of Nursing, Eulji University, Seongnam-si 13135, Republic of Korea
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Sadiq R, Broni EK, Levine LD, Retnakaran R, Echouffo-Tcheugui JB. Association of ideal cardiovascular health and history of gestational diabetes mellitus in NHANES 2007-2018. Diabetes Res Clin Pract 2024; 217:111857. [PMID: 39284458 PMCID: PMC11563866 DOI: 10.1016/j.diabres.2024.111857] [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: 06/15/2024] [Revised: 08/20/2024] [Accepted: 09/13/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Population-based studies of ideal cardiovascular health (CVH) and gestational diabetes mellitus (GDM) are scarce. METHODS We conducted a cross-sectional analysis of 2007-2018 National Health Examination and Nutrition Survey women aged ≥ 20 years, who had data on Life's Simple 7 (LS7) metrics and self-reported GDM history. Each LS7 metric was assigned a score of 0 (non-ideal) and 1(ideal) and summed to obtain total ideal CVH scores (0-7). We used logistic regression models to assess associations between LS7 ideal CVH scores (0-7) and GDM history, accounting for socio-demographic factors. RESULTS Among 9199 women (mean age: 46 years, 8 % with a GDM history), there was a progressive decrease in the odds of past GDM history across increasing ideal CVH scores. Compared to females with 0-1 ideal CVH scores, females with ideal CVH scores of 3, 4 and 5-7 had an associated 39 % lower [odds ratio: 0.61 (95 % CI: 0.41-0.90)], 50 % lower [0.50 (0.33-0.76)] and 66 % lower [0.34 (0.20-0.56)] odds of past GDM history, respectively. There were notable racial/ethnic and citizenship/nativity differences in these associations. CONCLUSIONS Women with higher ideal CVH scores had lower odds of GDM history. Our findings underscore the importance of optimizing cardiometabolic health among women with GDM history.
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Affiliation(s)
- Rabail Sadiq
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Eric K Broni
- Pregnancy and Perinatal Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lisa D Levine
- Pregnancy and Perinatal Research Center, Department of Obstetrics and Gynecology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada
| | - Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins School of Medicine, Baltimore, MD, USA; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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Hyde ET, Nguyen S, LaMonte MJ, Di C, Bellettiere J, Tinker LF, Foraker RE, Tindle HA, Stefanick ML, LaCroix AZ. Influence of physical activity measurement on the association between Life's Essential 8 and incident cardiovascular disease in older women. Prev Med Rep 2024; 47:102904. [PMID: 39498208 PMCID: PMC11532471 DOI: 10.1016/j.pmedr.2024.102904] [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: 04/15/2024] [Revised: 10/07/2024] [Accepted: 10/08/2024] [Indexed: 11/07/2024] Open
Abstract
Objective The American Heart Association's Life's Essential 8 (LE8) metric includes self-reported physical activity as one of the metrics for assessing cardiovascular health. Self-reported physical activity is prone to misclassification, whereas accelerometer measures are less biased. We examined associations of LE8 and incident cardiovascular disease (CVD) using self-reported and accelerometer-measured physical activity. Methods Participants in the Women's Health Initiative (WHI) Objective Physical Activity and Cardiovascular Health Study (n = 4,243; mean age = 79 ± 7 years) with no CVD history completed the WHI physical activity questionnaire and the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire prior to wearing a hip-worn accelerometer for up to seven days in 2012-2014. LE8 components (physical activity, diet, sleep, body mass index, smoking, blood pressure, non-HDL cholesterol, and glucose) were scored according to guidelines. Scores were created using five physical activity measures: WHI questionnaire (LE8WHI), CHAMPS (LE8CHAMPS), accelerometer-measured physical activity (LE8A), and sample quantiles of accelerometer-measured physical activity (LE8AQ) and daily steps (LE8STEPS). Hazard ratios (HR) for physician-adjudicated CVD were estimated using Cox regression. Results 707 incident CVD events occurred over an average 7.5 years. Multivariable HRs (95 % CI) comparing women in the highest vs. lowest quartiles of LE8 scores were: LE8WHI = 0.53 (0.43-0.67), LE8CHAMPS = 0.47 (0.38-0.60), LE8A = 0.44 (0.36-0.56), LE8AQ = 0.44 (0.35-0.55), and LE8STEPS = 0.45 (0.35-0.57). Conclusions The LE8-incident CVD association varies by physical activity measurement, however all methods showed reduced risk. Device-measures of physical activity may be more accurate in the LE8, but when impractical to implement, also support use of self-reported measures.
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Affiliation(s)
- Eric T. Hyde
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, United States
| | - Steve Nguyen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
| | - Michael J. LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo – SUNY, Buffalo, NY, United States
| | - Chongzhi Di
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - John Bellettiere
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
| | - Lesley F. Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Randi E. Foraker
- Division of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Hilary A. Tindle
- Vanderbilt University Medical Center, Nashville, TN, United States
- Geriatric Research Education and Clinical Centers (GRECC), Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN, United States
| | - Marcia L. Stefanick
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Andrea Z. LaCroix
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, United States
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Xu Y, Ning W, Zhang Y, Ba Y, Liu H, Liu L, Wang L, Guo C, Xu H, Weng S, Zhou Z, Cai Z, Ma H, Zhang G, Jia Y, Han X. Associations Between Cardiovascular Health (Life's Essential 8) and Mental Disorders. Clin Cardiol 2024; 47:e70019. [PMID: 39314085 PMCID: PMC11420513 DOI: 10.1002/clc.70019] [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: 07/18/2024] [Revised: 09/07/2024] [Accepted: 09/10/2024] [Indexed: 09/25/2024] Open
Abstract
BACKGROUND Mental health was closely associated with cardiovascular disease (CVD). We aimed to investigate the association between cardiovascular health (CVH), as defined by Life's Essential 8 (LE8), and the presence of depression and anxiety. HYPOTHESIS We hypothesized that CVH, as defined by LE8, was negatively associated with the prevalence of depression and anxiety. METHODS A cross-sectional study was conducted on participants (≥ 20 years old) from the National Health and Nutrition Examination Survey (NHANES). The LE8 score (ranging from 0 to 100) was composed of the health behavior score and the health factor score, which were further categorized into three levels as follows: low (0-49), moderate (50-79), and high (80-100). Weighted multivariable logistic regressions and restricted cubic splines were utilized to assess the association between LE8 and mental disorders. RESULTS Among the 13 028 participants included in this research, 1206 were determined to have depression symptoms and 2947 were determined to have anxiety symptoms. In the weighted and adjusted model, LE8 was negatively associated with the prevalence of depression (odds ratio [OR], 95% confidence interval [CI]: 0.61, 0.58-0.65) and anxiety (OR, 95% CI: 0.78, 0.75-0.81). Furthermore, a nonlinear dose-response relationship was observed between LE8 and anxiety. CONCLUSIONS CVH defined by the LE8 was independently and negatively associated with the prevalence of depression and anxiety. Interventions targeting LE8 components may improve both CVH and mental health.
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Affiliation(s)
- Yudi Xu
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Wenjing Ning
- School of NursingThe Hong Kong Polytechnic UniversityHung HomHong Kong
| | - Yuyuan Zhang
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yuhao Ba
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Huimin Liu
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Long Liu
- Department of Hepatobiliary and Pancreatic SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Libo Wang
- Department of Hepatobiliary and Pancreatic SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Chunguang Guo
- Department of Endovascular SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Hui Xu
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Siyuan Weng
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Zhaokai Zhou
- Department of Urology SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Zongao Cai
- Department of Vascular SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Hongxuan Ma
- Department of Kidney TransportationThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Ge Zhang
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Yanjie Jia
- Department of NeurologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenanChina
| | - Xinwei Han
- Department of Interventional RadiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
- Interventional Institute of Zhengzhou UniversityZhengzhouHenanChina
- Interventional Treatment and Clinical Research Center of Henan ProvinceZhengzhouHenanChina
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9
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Zhao Y, Yang H, Jiao R, Wang Y, Xiao M, Song M, Yu H, Liao C, Pang Y, Gao W, Huang T, Yu C, Lv J, Li S, Qi L, Li L, Sun D. Phenotypic age mediates effects of Life's Essential 8 on reduced mortality risk in US adults. PRECISION CLINICAL MEDICINE 2024; 7:pbae019. [PMID: 39309670 PMCID: PMC11413533 DOI: 10.1093/pcmedi/pbae019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 08/28/2024] [Indexed: 09/25/2024] Open
Abstract
Objective This study aimed to find out whether phenotypic age could mediate the protective effects of a healthy lifestyle on mortality. Methods We included adult participants with available data for individual phenotypic age (PhenoAge) and Life's Essential 8 (LE8) scores from the National Health and Nutrition Examination Survey 2005-2010 (three cycles) and linked mortality records until 31 December 2019. Adjusted hazard ratios (HR) were estimated to evaluate the associations of PhenoAge and LE8 scores with all-cause and cardiovascular mortality risk. Mediation analyses were performed to estimate the proportional contribution of PhenoAge to the effect of LE8 on mortality risks. Results A 1-year increment in PhenoAge was associated with a higher risk of all-cause (HR = 1.04 [95% confidence interval, 1.04-1.05]) and cardiovascular (HR = 1.04 [95% confidence interval, 1.04-1.05]) mortality, independent of chronological age, demographic characteristics, and disease history. High level of LE8 (score: 80-100) was associated with a 3.30-year younger PhenoAge. PhenoAge was estimated to mediate 36 and 22% of the effect of LE8 on all-cause and cardiovascular mortality, respectively (all P < 0.001). As for single-metric scores of LE8, PhenoAge mediated 30%, 11%, 9%, and 7% of the effects of the healthy diet, smoking status, blood pressure, and physical activity on all-cause mortality risk, respectively (all P < 0.05). Conclusion Adherence to LE8 recommendations slows phenotypic aging. PhenoAge could mediate the effect of LE8 on mortality risk.
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Affiliation(s)
- Yuxuan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Haiming Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Rong Jiao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Yueqing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Meng Xiao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Mingyu Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Huan Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Chunxiao Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Shengxu Li
- Children's Minnesota Research Institute, Children's Minnesota, Minneapolis, MN 55404, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70118, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
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10
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Zhou S, Liang Z, Li Q, Tian W, Song S, Wang Z, Huang J, Ren M, Liu G, Xu M, Zheng ZJ. Individual and area-level socioeconomic status, Life's Simple 7, and comorbid cardiovascular disease and cancer: a prospective analysis of the UK Biobank cohort. Public Health 2024; 234:178-186. [PMID: 39024928 DOI: 10.1016/j.puhe.2024.06.028] [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: 03/24/2024] [Revised: 06/05/2024] [Accepted: 06/19/2024] [Indexed: 07/20/2024]
Abstract
OBJECTIVES We aimed to investigate the associations of individual and area-level socioeconomic status (SES) with incident cardiovascular diseases (CVD) alone, cancer alone, and comorbid CVD and cancer, and the mediation role of cardiovascular health score in these associations. STUDY DESIGN This was a population-based prospective cohort study. METHODS We used data from the UK Biobank, a population-based prospective cohort study. Latent class analysis was used to create an individual-level SES index based on three indicators (household income, education level, and employment status), and the Townsend Index was defined as the area-level socioeconomic status. We used the American Heart Association's (AHA) Life's Simple 7 (smoking, body weight, physical activity, diet, blood pressure, blood glucose, and total cholesterol) to calculate the cardiovascular health score. We used Cox proportional hazard regression models to estimate the hazard ratio (HR) and 95% confidence interval (CI) adjusted for demographic, environmental, and genetic factors. RESULTS Compared with high SES, the HRs in participants with low individual and area-level SES were 1.33 (95% confidence interval [CI] 1.29 to 1.38) and 1.24 (95% CI 1.20 to 1.29) for incident CVD, 0.96 (95% CI 0.93 to 0.99) and 0.95 (95%CI 0.92 to 0.98) for incident cancer, 1.32 (95%CI 1.24 to 1.40) and 1.15 (95%CI 1.08 to 1.22) for incident comorbid CVD and cancer, respectively. Additionally, the mediation proportion of CVD score for individual and area-level SES was 47.93% and 48.87% for incident CVD, 44.83% and 59.93% for incident comorbid CVD and cancer. The interactions between individual-level SES and CVD scores were significant on incident CVD, and comorbid CVD and cancer, and the protective associations were stronger in participants with high individual-level SES. CONCLUSIONS Life's Simple 7 significantly mediated the associations between SES and comorbid CVD and cancer, while almost half of the associations remained unclear.
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Affiliation(s)
- S Zhou
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China
| | - Z Liang
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China
| | - Q Li
- Institute of Social Development, Chinese Academy of Macroeconomic Research, Beijing, China
| | - W Tian
- Department of Global Statistics, Eli Lilly and Company, Branchburg, New Jersey, USA
| | - S Song
- Department of Health Policy & Management, College of Public Health, University of Georgia, Athens, GA, USA
| | - Z Wang
- Department of Family Medicine, McGill University, Montreal, QC, Canada
| | - J Huang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - M Ren
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China
| | - G Liu
- Institute for Global Health and Development, Peking University, Beijing, China
| | - M Xu
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China.
| | - Z-J Zheng
- Department of Global Health, Peking University School of Public Health, 38 Xue Yuan Road, Haidian District, Beijing, China; Institute for Global Health and Development, Peking University, Beijing, China.
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11
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McCarthy MM, Szerencsy A, Fletcher J, Taza-Rocano L, Weintraub H, Hopkins S, Applebaum R, Schwartzbard A, Mann D, D'Eramo Melkus G, Vorderstrasse A, Katz SD. The Impact of an Electronic Best Practice Advisory on Patients' Physical Activity and Cardiovascular Risk Profile. J Cardiovasc Nurs 2024; 39:E150-E157. [PMID: 37467192 PMCID: PMC10787798 DOI: 10.1097/jcn.0000000000001021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
BACKGROUND Regular physical activity (PA) is a component of cardiovascular health and is associated with a lower risk of cardiovascular disease (CVD). However, only about half of US adults achieved the current PA recommendations. OBJECTIVE The study purpose was to implement PA counseling using a clinical decision support tool in a preventive cardiology clinic and to assess changes in CVD risk factors in a sample of patients enrolled over 12 weeks of PA monitoring. METHODS This intervention, piloted for 1 year, had 3 components embedded in the electronic health record: assessment of patients' PA, an electronic prompt for providers to counsel patients reporting low PA, and patient monitoring using a Fitbit. Cardiovascular disease risk factors included PA (self-report and Fitbit), body mass index, blood pressure, lipids, and cardiorespiratory fitness assessed with the 6-minute walk test. Depression and quality of life were also assessed. Paired t tests assessed changes in CVD risk. RESULTS The sample who enrolled in the remote patient monitoring (n = 59) were primarily female (51%), White adults (76%) with a mean age of 61.13 ± 11.6 years. Self-reported PA significantly improved over 12 weeks ( P = .005), but not Fitbit steps ( P = .07). There was a significant improvement in cardiorespiratory fitness (469 ± 108 vs 494 ± 132 m, P = .0034), and 23 participants (42%) improved at least 25 m, signifying a clinically meaningful improvement. Only 4 participants were lost to follow-up over 12 weeks of monitoring. CONCLUSIONS Patients may need more frequent reminders to be active after an initial counseling session, perhaps getting automated messages based on their step counts syncing to their electronic health record.
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12
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Yang Y, Lee H, Shirai K, Liu K, Iso H, Kim HC. Sex-specific associations between socioeconomic status and ideal cardiovascular health among Korean adults: The Korea National Health and Nutrition Examination Survey, 2007-2017. PLoS One 2024; 19:e0307040. [PMID: 39146358 PMCID: PMC11326625 DOI: 10.1371/journal.pone.0307040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/27/2024] [Indexed: 08/17/2024] Open
Abstract
Socioeconomic status (SES) has a considerable impact on cardiovascular health (CVH), which may differ by sex. We aimed to investigate sex-specific socioeconomic disparities in CVH among 31,141 individuals aged 25-64 years who participated in the cross-sectional 2007-2017 Korea National Health and Nutrition Survey (KNHANES) and the Life's Simple 7 metrics were used to define ideal CVH. Latent class analysis was used to estimate overall SES patterns. Logistic regression models were used to estimate sex-specific odds ratios (ORs) and 95% confidence interval (95% CI) for the likelihood of ideal CVH across SES classes, with the highest SES as the reference group. Four SES classes were identified: (1) low class with low education and material property (2.4%), (2) lower-medium class (10.1%) and (3) higher-medium class (43.7%) with increasing material affluence, and (4) high class with highest education and income (43.8%). Lower SES was associated with decreased ideal CVH among women; compared to their high SES counterparts, women with lowest SES were least likely to achieve ideal overall CVH (OR: 0.55, 95%CI: 0.43-0.71). Similar SES gradients in ideal overall CVH for men were also observed but it was less clear (OR (95%CI) for lowest SES: 0.83, 0.51-1.34). Low SES was associated with poorer achievement of ideal CVH with some sex-heterogeneities. Interventions that equalize the distribution of power and resources and targeted sex-specific approaches to empower low socioeconomic subgroups are warranted to prevent the transition from ideal to suboptimal cardiovascular health and to close socioeconomic disparities in CVH among Korean adults.
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Affiliation(s)
- Yiyi Yang
- Department of Public Health, Yonsei University Graduate School, Seoul, South Korea
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine Osaka University, Osaka, Japan
| | - Hokyou Lee
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Kokoro Shirai
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine Osaka University, Osaka, Japan
| | - Keyang Liu
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine Osaka University, Osaka, Japan
| | - Hiroyasu Iso
- Institute for Global Health Policy Research (iGHP), Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, South Korea
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13
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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] [Grants] [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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14
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ZHOU SY, LIU FC, CHEN SF, LI JX, CAO J, HUANG KY, TANG ZH, LIANG FC, HU DS, ZHAO LC, LI Y, HUANG JF, LU XF, LU B, GU DF. Life's essential 8 and risk of subclinical atherosclerosis progression: a prospective cohort study. J Geriatr Cardiol 2024; 21:751-759. [PMID: 39183952 PMCID: PMC11341528 DOI: 10.26599/1671-5411.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Previous studies have demonstrated the benefits of ideal cardiovascular health (CVH) in reducing cardiovascular risk. However, its role in subclinical atherosclerosis (SA) progression remains unclear. We aim to examine the association of CVH, estimated by the American Heart Association's new Life's Essential 8 (LE8), with the progression of SA. METHODS This prospective cohort study was conducted among 972 asymptomatic Chinese participants and followed up for 5.7 years. The LE8 score (range, 0-100) consisted of blood pressure, lipids, glucose, body mass index, smoking status, diet health, physical activity and sleep health was evaluated in 1998 and 2008-2009. Progression of SA was determined by carotid plaque and coronary artery calcification (CAC) in 2008-2009 and 2013-2014. Log-binomial regression model was used to estimate the association of LE8 score with SA progression. RESULTS Each 10 points increment in LE8 score was associated with 15.2% (RR: 0.848, 95% CI: 0.797-0.902), 17.7% (RR: 0.823, 95% CI: 0.766-0.884) and 12.0% (RR: 0.880, 95% CI: 0.845-0.916) lower risks of carotid plaque, CAC and overall SA progression, respectively. Compared with participants with non-ideal CVH at both visits, the participants with ideal CVH at both visits had 39.1% (RR: 0.609, 95% CI: 0.494-0.752), 41.0% (RR: 0.590, 95% CI: 0.456-0.764) and 29.7% (RR: 0.703, 95% CI: 0.598-0.825) lower risks of carotid plaque, CAC and overall SA progression, respectively. CONCLUSIONS Higher LE8 scores were associated with lower risks of SA progression. Besides, long-term maintenance of optimal CVH was more beneficial to prevent SA progression.
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Affiliation(s)
- Shi-Yu ZHOU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fang-Chao LIU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shu-Feng CHEN
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jian-Xin LI
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jie CAO
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ke-Yong HUANG
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zheng-Hao TANG
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Feng-Chao LIANG
- School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Dong-Sheng HU
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Lian-Cheng ZHAO
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ying LI
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jian-Feng HUANG
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiang-Feng LU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Bin LU
- Department of Radiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Dong-Feng GU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China
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15
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Herraiz-Adillo Á, Ahlqvist VH, Daka B, Wångdahl J, Wennberg P, Carlsson J, Higueras-Fresnillo S, Lenander C, Östgren CJ, Berglind D, Rådholm K, Henriksson P. Life's Essential 8 in relation to self-rated health and health-related quality of life in a large population-based sample: the SCAPIS project. Qual Life Res 2024; 33:1003-1014. [PMID: 38270740 PMCID: PMC10973036 DOI: 10.1007/s11136-023-03580-1] [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] [Accepted: 12/04/2023] [Indexed: 01/26/2024]
Abstract
PURPOSE To monitor cardiovascular health, in 2022, the American Heart Association (AHA) updated the construct "Life's Simple 7" (LS7) to "Life's Essential 8" (LE8). This study aims to analyze the associations and capacity of discrimination of LE8 and LS7 in relation to self-rated health (SRH) and health-related quality of life (HRQoL). METHODS This study from the Swedish CArdioPulmonary bioImage Study (SCAPIS) included 28 731 Swedish participants, aged 50-64 years. Three different scores were derived from the SF-12 questionnaire: 1-item question SRH ("In general, would you say your health is …?"), mental-HRQoL and physical-HRQoL. Logistic regression, restricted cubic splines, and ROC analysis were used to study the associations between the AHA scores in relation to SRH and HRQoL. RESULTS Compared to those with a LE8 score of 80, participants with a LE8 score of 40 were 14.8 times more likely to report poor SRH (OR: 14.8, 95% CI: 13.0-17.0), after adjustments. Moreover, they were more likely to report a poor mental-HRQoL (OR: 4.9, 95% CI: 4.2-5.6) and a poor physical-HRQoL (OR: 8.0, 95% CI: 7.0-9.3). Area under curves for discriminating poor SRH were 0.696 (95% CI: 0.687-0.704), 0.666 (95% CI: 0.657-0.674), and 0.643 (95% CI: 0.634-0.651) for LE8, LS7 (0-14), and LS7 (0-7), respectively, all p values < 0.001 in the DeLong's tests. CONCLUSION LE8 and LS7 had strong and inverse associations with SRH, mental-HRQoL, and physical-HRQoL, though LE8 had a somewhat higher capacity of discrimination than LS7. The novel LE8, a construct initially conceived to monitor cardiovascular health, also conveys SRH and HRQoL.
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Affiliation(s)
- Ángel Herraiz-Adillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
| | - Viktor H Ahlqvist
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Bledar Daka
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Josefin Wångdahl
- Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm, Sweden
- Department of Public Health & Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Jakob Carlsson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Sara Higueras-Fresnillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain
| | - Cecilia Lenander
- Department of Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Lund, Sweden
| | - Carl Johan Östgren
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Centre of Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Daniel Berglind
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
- Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
| | - Karin Rådholm
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Pontus Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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16
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Tian X, Chen S, Xu Q, Xia X, Zhang Y, Zhang X, Wang P, Wu S, Wang A. Longitudinal cardiovascular health measured by life's essential 8 metrics with incident diabetes: A 13-year prospective cohort study. Diabetes Metab Res Rev 2024; 40:e3757. [PMID: 38069514 DOI: 10.1002/dmrr.3757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 10/08/2023] [Accepted: 10/31/2023] [Indexed: 03/14/2024]
Abstract
AIMS To investigate the associations of baseline and longitudinal cardiovascular health (CVH) measured by 'Life's Essential 8' (LE8) metrics with the risk of diabetes in Chinese people with normoglycaemia or prediabetes. MATERIALS AND METHODS A total 86,149 participants without diabetes were enroled from the Kailuan study and were stratified by baseline glycaemic status (normoglycaemia or prediabetes). Cardiovascular health score ranged from 0 to 100 points was categorised into low (0-49), middle (50-79), and high (80-100) CVH status. Cox regressions were used to assess the associations of baseline and time-updated CVH status with incident diabetes in the overall cohort and across baseline glycaemic statuses. RESULTS During a median follow-up of 12.94 (interquartile rage: 12.48-13.16) years, we identified 13,097 (15.20%) cases of incident diabetes. Baseline and time-updated high CVH status was associated with a lower risk of diabetes, the corresponding hazard ratio (HR) versus low CVH status was 0.27 (95% confidence interval [CI], 0.23-0.31) and 0.26 (95% CI, 0.23-0.30) in the overall cohort, respectively. Additionally, the effect of high CVH on diabetes was more prominent in participants with normoglycaemia than those with prediabetes (P < 0.0001), with an HR of 0.26 (95% CI, 0.22-0.31) versus 0.50 (95% CI, 0.41-0.62) for baseline CVH, and 0.25 (95% CI, 0.21-0.30) versus 0.39 (95% CI, 0.32-0.48) for time-updated CVH. CONCLUSIONS Elevated baseline and longitudinal CVH score assessed by LE8 metrics is associated with a lower risk of subsequent diabetes, especially in normoglycaemic adults.
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Affiliation(s)
- Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Penglian Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
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17
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Osibogun O, Ogunmoroti O, Turkson-Ocran RA, Okunrintemi V, Kershaw KN, Allen NB, Michos ED. Financial strain is associated with poorer cardiovascular health: The multi-ethnic study of atherosclerosis. Am J Prev Cardiol 2024; 17:100640. [PMID: 38419947 PMCID: PMC10899015 DOI: 10.1016/j.ajpc.2024.100640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/08/2024] [Accepted: 02/12/2024] [Indexed: 03/02/2024] Open
Abstract
Objective Psychosocial stress is associated with increased cardiovascular disease (CVD) risk. The relationship between financial strain, a toxic form of psychosocial stress, and ideal cardiovascular health (CVH) is not well established. We examined whether financial strain was associated with poorer CVH in a multi-ethnic cohort free of CVD at baseline. Methods This was a cross-sectional analysis of 6,453 adults aged 45-84 years from the Multi-Ethnic Study of Atherosclerosis. Financial strain was assessed by questionnaire and responses were categorized as yes or no. CVH was measured from 7 metrics (smoking, body mass index, physical activity, diet, total cholesterol, blood glucose and blood pressure). A CVH score of 14 was calculated by assigning points to the categories of each metric (poor = 0 points, intermediate = 1 point, ideal = 2 points). Multinomial logistic regression was used to examine the association of financial strain with the CVH score (inadequate 0-8, average 9-10, and optimal 11-14 points) adjusting for sociodemographic factors, depression and anxiety. Results The mean age (SD) was 62 (10) and 53 % were women. Financial strain was reported by 25 % of participants. Participants who reported financial strain had lower odds of average (OR, 0.82 [95 % CI, 0.71, 0.94]) and optimal (0.73 [0.62, 0.87]) CVH scores. However, in the fully adjusted model, the association was only significant for optimal CVH scores (0.81, [0.68, 0.97]). Conclusion Financial strain was associated with poorer CVH. More research is needed to understand this relationship so the burden of CVD can be decreased, particularly among people experiencing financial hardship.
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Affiliation(s)
- Olatokunbo Osibogun
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - Oluseye Ogunmoroti
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- The Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Victor Okunrintemi
- Division of Cardiovascular Disease, Houston Methodist Hospital, Houston, TX, USA
| | - Kiarri N. Kershaw
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Norrina B. Allen
- Division of Cardiovascular Disease, Houston Methodist Hospital, Houston, TX, USA
| | - Erin D. Michos
- The Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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18
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Hoang MT, Jung SJ, Lee H, Kim HC. Parent-Offspring Associations of Ideal Cardiovascular Health Metrics: Findings From the 2014 to 2021 Korea National Health and Nutrition Examination Survey. J Am Heart Assoc 2024; 13:e030995. [PMID: 38214252 PMCID: PMC10926814 DOI: 10.1161/jaha.123.030995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 12/14/2023] [Indexed: 01/13/2024]
Abstract
BACKGROUND Studies have reported the strength of cardiovascular health (CVH) metrics in parent-offspring relationships. This study aimed to describe the sex-specific associations between CVH in parents and adult offspring. METHODS AND RESULTS This study was conducted on the Korea National Health and Nutrition Examination Survey data set, which analyzed trios of mother-father-child, with the child's age from 20 to 39 years. To use the nature of sampling design, survey weighting was applied to all our analyses. Ideal CVH was defined as a cluster of at least 5 ideal individual CVH metrics. We examined the association between parents and their adult offspring regarding clustering CVH and individual CVH metrics through odds ratios and 95% CIs using multiple logistic regression with standard errors adjusted for within-family clustering. The study included 1267 married couples comprising 748 sons and 819 daughters. After adjusting for household income and offspring's sex, age, education, and alcohol consumption, an offspring with either parent attaining a nonideal CVH was 3.52 times more likely to have nonideal CVH. Fathers' nonideal CVH was significantly positively associated with the daughters' nonideal CVH. Maternal nonideal CVH was significantly positively associated with the son's nonideal CVH. When analyzing individual CVH metrics, ideal status in fathers or mothers reduced the likelihood of their offspring having a nonideal status. CONCLUSIONS This cross-sectional study showed positive and differential associations of CVH and its components between parents' and offsprings' nonideal status. Our hypothesis-generating results suggest the relevance of using CVH as a composite indicator in family-centered approaches and heart-health interventions.
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Affiliation(s)
- Manh Thang Hoang
- Department of Public HealthGraduate School, Yonsei UniversitySeoulKorea
- Department of Preventive MedicineHanyang University College of MedicineSeoulKorea
| | - Sun Jae Jung
- Department of Preventive MedicineYonsei University College of MedicineSeoulKorea
| | - Hokyou Lee
- Department of Preventive MedicineYonsei University College of MedicineSeoulKorea
| | - Hyeon Chang Kim
- Department of Preventive MedicineYonsei University College of MedicineSeoulKorea
- Institute for Innovation in Digital Healthcare, Yonsei UniversitySeoulKorea
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19
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Suglia SF, Knox N, April-Sanders AK, Aguayo L, López-Cepero A, Cohall A, Wang S, Wall M, Canino G, Bird H, Duarte CS. Prevalence of cardiometabolic risk and health factors among Puerto Rican young adults in the Boricua Youth Study - Health Assessment. Ann Epidemiol 2024; 89:8-14. [PMID: 37977282 PMCID: PMC10872904 DOI: 10.1016/j.annepidem.2023.11.007] [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: 05/24/2023] [Revised: 11/06/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
We describe and compare the prevalence of cardiometabolic risk factors and ideal cardiovascular health (CVH) among Puerto Rican young adults in the San Juan metro area in Puerto Rico and the South Bronx, NY. As part of the Boricua Youth Study - Health Assessment, (mean age 23 ± 0.1 years) objective anthropometric, blood pressure and blood samples were collected. Information on diet, physical activity and sleep were collected via surveys. Life's Essential 8 metrics were characterized as continuous with higher scores indicating more optimal CVH and categorically (80-100 scores for ideal CVH). Mean CVH score among NY participants was lower (61.9) than in PR (68.9). No participant had all ideal health metrics, 36% of participants in PR had 5 or more ideal CVH; while only 16% in NY met this criterion. The prevalence of cardiometabolic risk factors was high for obesity (35% in NY, 19% in PR) and diabetes (17% NY, 20% PR). In this ethnically homogenous population, we found low levels of ideal CVH that varied across study site, suggesting differences by sociocultural context. Interventions to maintain and improve CVH across the life course, tailored to sociocultural environments, are necessary for the prevention of cardiovascular disease.
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Affiliation(s)
- Shakira F Suglia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Natishkah Knox
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ayana K April-Sanders
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | - Liliana Aguayo
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Andrea López-Cepero
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Alwyn Cohall
- Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Shuang Wang
- Deparment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Melanie Wall
- Deparment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Glorisa Canino
- Behavioral Science Research Institute. University of Puerto Rico, San Juan, PR, USA
| | - Hector Bird
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University, New York, NY, USA
| | - Cristiane S Duarte
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University, New York, NY, USA
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20
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Herraiz-Adillo Á, Higueras-Fresnillo S, Ahlqvist VH, Berglind D, Syrjälä MB, Daka B, Lenander C, Sundström J, Ortega FB, Östgren CJ, Rådholm K, Henriksson P. Life's Essential 8 and Life's Simple 7 in Relation to Coronary Atherosclerosis: Results From the Population-Based SCAPIS Project. Mayo Clin Proc 2024; 99:69-80. [PMID: 37843486 DOI: 10.1016/j.mayocp.2023.03.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/17/2023] [Accepted: 03/28/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE To examine the associations between the American Heart Association scores ("Life's Essential 8" [LE8] and "Life's Simple 7" [LS7]) and 2 subclinical coronary atherosclerosis indicators: coronary computed tomographic angiography (CCTA)-stenosis and coronary artery calcium (CAC). PATIENTS AND METHODS We included a population-based sample, aged 50 to 64 years, recruited between 2013 and 2018 from the Swedish Cardiopulmonary Bioimage Study (n=24,819, 50.3% women). CCTA-stenosis was graded as no stenosis, stenosis (1%-49%) or severe stenosis (≥50%), whereas CAC was graded as 0, 1 to 99, 100 to 399, or ≥400 Agatston units. Multinomial logistic regression and receiver operating characteristic (ROC) curves were used to study the associations between cardiovascular health scores and subclinical coronary atherosclerosis. RESULTS Odds ratios (ORs) for CCTA-stenosis and severe CCTA-stenosis between the lowest (<50 points) vs the highest (≥80 points) LE8 group were 4.18 (95% CI, 3.56 to 4.91) and 11.17 (95% CI, 8.36 to 14.93), respectively. For corresponding CAC results, ORs were 3.36 (95% CI, 2.84 to 3.98), 7.72 (95% CI, 6.03 to 9.89), and 14.94 (95% CI, 10.47 to 21.31) for CAC scores of 1 to 99, 100 to 399, and ≥400, respectively. Area under ROC curves for predicting any stenosis were 0.642 (95% CI, 0.635 to 0.649) and 0.631 (95% CI, 0.624 to 0.638, P<.001) for LE8 and LS7, respectively. CONCLUSION Our data indicate that LE8 showed a strong, graded, and inverse association with CCTA-stenosis and CAC score. The capacity to predict CCTA-stenosis was comparable between LE8 and LS7, although LE8 had slightly higher prediction capacity of any stenosis. This study provides novel evidence that the LE8 score may be a useful tool for monitoring cardiovascular health.
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Affiliation(s)
- Ángel Herraiz-Adillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
| | - Sara Higueras-Fresnillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain
| | - Viktor H Ahlqvist
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Berglind
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Region Stockholm, SE-10431, Stockholm, Sweden
| | - Maria B Syrjälä
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Bledar Daka
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecilia Lenander
- Department for Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Lund, Sweden
| | - Johan Sundström
- Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain; Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
| | - Carl-Johan Östgren
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Centre for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Karin Rådholm
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Pontus Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
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21
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Badrooj N, Jayedi A, Shab-Bidar S. Ideal cardiovascular health metrics and risk of type 2 diabetes: A systematic review and dose-response meta-analysis of prospective cohort studies. Nutr Metab Cardiovasc Dis 2023; 33:2067-2075. [PMID: 37563068 DOI: 10.1016/j.numecd.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/03/2023] [Accepted: 07/04/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND AND AIMS Studies suggest a potential link between ideal cardiovascular health (CVH) and the risk of type 2 diabetes (T2D). However, systematic reviews are lacking to pool these data and present a balanced review about this association. METHODS AND RESULTS We performed a systematic search of PubMed/Medline, Web of Sciences, and Scopus from inception until November 2022 to search for prospective observational studies assessing the link between ideal CVH metrics, as introduced by the American Heart Association, and the risk of T2D in adults. Nine cohort studies with 78,912 participants and 6242 cases of T2D were included. The pooled relative risk of T2D for the highest versus the lowest category of ideal CVH metrics was 0.36 (95% confidence interval [CI]: 0.25, 0.47; risk difference: 5 fewer per 100 patients, 95% CI: 6 fewer, 4 fewer; Grading of Recommendations Assessment, Development and Evaluation certainty = high). Each unit increase in the components of the ideal CVH metrics was associated with a 20% lower risk of T2D. Dose-response meta-analysis indicated a monotonic inverse association between ideal CVH metrics and the risk of T2D. Results from analysis of individual components showed that having a normal weight, adopting a healthy diet, and having normal blood pressure levels were associated with a reduced risk of T2D. CONCLUSIONS Having an ideal CVH profile and a unit increase in any CVH metric are inversely associated with the risk of T2D. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022376934.
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Affiliation(s)
- Negin Badrooj
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jayedi
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
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22
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Kim K, Lee S, Ahn Y, Ko S, Yun J. Associations of polyneuropathy with risk of all-cause and cardiovascular mortality, cardiovascular disease events stratified by diabetes status. J Diabetes Investig 2023; 14:1279-1288. [PMID: 37517075 PMCID: PMC10583645 DOI: 10.1111/jdi.14063] [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: 01/05/2023] [Revised: 06/19/2023] [Accepted: 07/17/2023] [Indexed: 08/01/2023] Open
Abstract
AIMS/INTRODUCTION We investigated the association of polyneuropathy (PN) with all-cause and cardiovascular (CV) mortality and with cardiovascular disease (CVD) events stratified by diabetes status. MATERIALS AND METHODS This prospective cohort study used the UK Biobank. Polyneuropathy was defined based on nurse-led interviews or ICD codes for polyneuropathy. Cox proportional hazards models were used to investigate the association of polyneuropathy with clinical outcomes. RESULTS A total of 459,127 participants were included in the analysis. Polyneuropathy was significantly associated with all-cause and cardiovascular mortality, and with CVD events even after adjusting for CVD risk factors across all diabetes statuses. Metabolic parameters HbA1c , waist circumference, BMI and the inflammatory parameter C-reactive protein showed significant mediation effects for the association between polyneuropathy and CVD. Adherence to a favorable lifestyle was associated with a lower risk of all-cause and cardiovascular mortality regardless of polyneuropathy status. CONCLUSIONS Polyneuropathy was associated with all-cause and cardiovascular mortality, and with CVD events in subjects with diabetes or prediabetes, even those having normal glucose tolerance. This study suggests the importance of polyneuropathy as a risk factor for death and highlights the necessity of early diagnosis and lifestyle intervention for those with type 2 diabetes and polyneuropathy.
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Affiliation(s)
- Kyuho Kim
- Department of Internal Medicine, College of MedicineThe Catholic University of KoreaSeoulKorea
| | - Su‐Nam Lee
- Division of Cardiology, Department of Internal MedicineSt Vincent's Hospital, The Catholic University of KoreaSuwonKorea
| | - Yu‐Bae Ahn
- Department of Internal Medicine, College of MedicineThe Catholic University of KoreaSeoulKorea
| | - Seung‐Hyun Ko
- Department of Internal Medicine, College of MedicineThe Catholic University of KoreaSeoulKorea
| | - Jae‐Seung Yun
- Department of Internal Medicine, College of MedicineThe Catholic University of KoreaSeoulKorea
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23
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Camara M, Lima KC, Freire YA, Souto GC, Macêdo GAD, Silva RDM, Cabral LLP, Browne RAV, Lemos TMAM, Waters DL, Vieira ER, Manini TM, Costa EC. Independent and joint associations of cardiorespiratory fitness and lower-limb muscle strength with cardiometabolic risk in older adults. PLoS One 2023; 18:e0292957. [PMID: 37871003 PMCID: PMC10593220 DOI: 10.1371/journal.pone.0292957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 10/03/2023] [Indexed: 10/25/2023] Open
Abstract
The aim of this study was to investigate the independent and joint associations of low cardiorespiratory fitness and lower-limb muscle strength with cardiometabolic risk in older adults. A total of 360 community-dwelling older adults aged 60-80 years participated in this cross-sectional study. Cardiometabolic risk was based on the diagnosis of Metabolic Syndrome and poor Ideal Cardiovascular Health according to the American Heart Association guidelines. Cardiorespiratory fitness and lower-limb muscle strength were estimated using the six-minute walk and the 30-second chair stand tests, respectively. Participants in the 20th percentile were defined as having low cardiorespiratory fitness and lower-limb muscle strength. Poisson's regression was used to determine the prevalence ratio (PR) and 95% confidence intervals (CI) of Metabolic Syndrome and poor Ideal Cardiovascular Health. Participants with low cardiorespiratory fitness alone and combined with low lower-limb muscle strength were similarly associated with a higher risk for Metabolic Syndrome (PR 1.27, 95% CI 1.09-1.48, and PR 1.32, 95% CI 1.10-1.58, respectively), and poor Ideal Cardiovascular Health (PR 1.76, 95% CI 1.25-2.47, and PR 1.65, 95% CI 1.19-2.28, respectively). Low lower-limb muscle strength alone was not associated with a higher risk for either Metabolic Syndrome or poor Ideal Cardiovascular Health (PR 1.23, 95% CI 0.81-1.87, and PR 1.11, 95% CI 0.89-1.37, respectively). Low cardiorespiratory fitness alone or combined with low lower-limb muscle strength, but not low lower-limb muscle strength alone, was associated with a higher cardiometabolic risk in older adults. The assessment of physical fitness may be a "window of opportunity" to identify youngest-old adults with a high cardiovascular disease risk.
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Affiliation(s)
- Marcyo Camara
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Kenio C. Lima
- Department of Dentistry, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Yuri A. Freire
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Gabriel C. Souto
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Geovani A. D. Macêdo
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Raissa de M. Silva
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Ludmila L. P. Cabral
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
- Graduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Rodrigo A. V. Browne
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Telma M. A. M. Lemos
- Department of Clinical and Toxicological Analysis, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Debra L. Waters
- Department of Medicine and School of Physiotherapy, University of Otago, Dunedin, Otago, New Zealand
- Department of General Internal Medicine/Geriatrics, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Edgar R. Vieira
- Department of Physical Therapy, Florida International University, Miami, Florida, United States of America
| | - Todd M. Manini
- Institute on Aging, University of Florida, Gainesville, Florida, United States of America
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, United States of America
| | - Eduardo Caldas Costa
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
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24
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Chen S, Li H, Wang S, Yang S, Liu S, Song Y, Li X, Li R, Wang J, Liu M, He Y. Association of cardiovascular health at old age with all-cause mortality: a prospective cohort study in China. BMC Geriatr 2023; 23:437. [PMID: 37454054 PMCID: PMC10349403 DOI: 10.1186/s12877-023-04093-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/06/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Cardiovascular disease has become the leading cause of death worldwide, but there is a lack of data on whether cardiovascular health (CVH) is associated with elderly mortality in China. We investigated the relationship between the ideal CVH score of Chinese elderly and the all-cause mortality. METHODS The Beijing Elderly Comprehensive Health Cohort Study included a total of 4,499 participants aged 60 years and above. The CVH metric was calculated at baseline and had a score ranging from 0 to 12. The relationship of CVH metrics with all-cause mortality was investigated using Cox proportional hazard regression analysis. The robustness of results was tested using subgroup and sensitivity analysis. RESULTS The median CVH score among participants was 8.00 (2.00), with only 8.0% scoring 11-12 points. 667 deaths were observed during an average follow-up time of 8.2 years. Participants with a CVH score of 11-12 had a decreased risk of all-cause mortality when compared to those with a CVH score of 0-4(HR = 0.584, 95% CI: 0.373-0.913). Participants had a 7.5% lower risk of all-cause death with each unit higher CVH score (HR = 0.925, 95%CI: 0.885-0.967) with a linearly decreasing trend (P nonlinear = 0.575). The relationships were greater in younger elderly people and stroke patients (P interaction = 0.011 and 0.037. respectively). The consistency of significant trends in sensitivity analysis shows the robustness of association (P trend < 0.001). CONCLUSIONS Among the Chinese elderly, there was a linear relationship between improving CVH scores and a lower risk of all-cause mortality. Because of the enormous benefits brought by one point, strategies are essential for improving cardiovascular health attainment. TRIAL REGISTRATION This study was registered at China Clinical Trial Registration Center (ChiCTR2100049866).
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Affiliation(s)
- Shimin Chen
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Haowei Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Shengshu Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Shanshan Yang
- Department of Disease Prevention and Control, First Medical Center, Chinese PLA General Hospital & Chinese PLA Medical School, Beijing, China
| | - Shaohua Liu
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Yang Song
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Xuehang Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Rongrong Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Jianhua Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China
| | - Miao Liu
- Department of Statistics and Epidemiology, Graduate School, Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
| | - Yao He
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Disease, Second Medical Center of Chinese PLA General Hospital & Chinese PLA Medical School, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
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25
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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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26
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van Sloten TT, Climie RED, Deraz O, Périer MC, Valentin E, Fayosse A, Sabia S, Weiderpass E, Jouven X, Goldberg M, Zins M, Touvier M, Deschasaux-Tanguy M, Fezeu L, Hercberg S, Singh-Manoux A, Empana JP. Is the number of ideal cardiovascular health metrics in midlife associated with lower risk of cancer? Evidence from 3 European prospective cohorts. CMAJ Open 2023; 11:E774-E781. [PMID: 37607746 PMCID: PMC10449017 DOI: 10.9778/cmajo.20220175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Primordial prevention may be a relevant strategy for the prevention of cancer. Given the commonality of risk factors and mechanisms between cancer and cardiovascular disease, we examined the associations between the number of ideal cardiovascular health metrics in midlife and incident cancer. METHODS In 3 European cohorts (NutriNet-Santé and GAZEL, France; Whitehall II, United Kingdom), the number of ideal cardiovascular health metrics was determined at baseline (range 0-7). Follow-up for cancer events was until October 2020 (NutriNet-Santé), March 2017 (Whitehall II) and December 2015 (GAZEL). Cox regression was conducted in each cohort, and results were thereafter pooled using a random-effects model. RESULTS Data were available on 39 718 participants. A total of 16 237 were from NutriNet-Santé (mean age 51.3 yr; 28% men), 9418 were from Whitehall II (mean age 44.8 yr; 68% men) and 14 063 were from GAZEL (mean age 45.2 yr; 75% men). The median follow-up was 8.1 years in NutriNet-Santé, 29.6 years in Whitehall II and 24.8 years in GAZEL, and yielded a total of 4889 cancer events. A greater number of ideal cardiovascular health metrics was associated with a lower overall cancer risk in each cohort, with an aggregate hazard ratio (HR) per 1 increment in number of ideal metrics of 0.91 (95% confidence interval [CI] 0.88-0.93). This association remained after removal of the smoking metric (aggregate HR per unit increment in number of ideal metrics: 0.94, 95% CI 0.90-0.97), and site-specific analysis demonstrated a significant association with lung cancer. INTERPRETATION A greater number of ideal cardiovascular health metrics in midlife was associated with lower cancer risk, notably lung cancer. Primordial prevention of cardiovascular risk factors in midlife may be a complementary strategy to prevent the onset of cancer.
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Affiliation(s)
- Thomas T van Sloten
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Rachel E D Climie
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Omar Deraz
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marie-Cécile Périer
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Eugenie Valentin
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Aurore Fayosse
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Séverine Sabia
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Elisabete Weiderpass
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Xavier Jouven
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marcel Goldberg
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marie Zins
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Mathilde Touvier
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Léopold Fezeu
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Serge Hercberg
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Archana Singh-Manoux
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Jean-Philippe Empana
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
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Choi HR, Chang Y, Kim Y, Cho Y, Kwon MJ, Kang J, Kwon R, Lim GY, Kim KH, Kim H, Hong YS, Park J, Zhao D, Cho J, Guallar E, Park HY, Ryu S. Vasomotor and other menopause symptoms and the prevalence of ideal cardiovascular health metrics among premenopausal stage women. Menopause 2023; 30:750-757. [PMID: 37279516 PMCID: PMC10309111 DOI: 10.1097/gme.0000000000002203] [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: 10/27/2022] [Revised: 04/05/2023] [Indexed: 06/08/2023]
Abstract
OBJECTIVE We examined the association between menopause symptoms and the prevalence of ideal cardiovascular health (CVH) metrics among premenopausal women. METHODS This cross-sectional study comprised 4,611 premenopausal women aged 42 to 52 years. Data for CVH metrics were collected during health screening examinations. Menopause symptoms were measured using the Korean version of the Menopause-Specific Quality of Life questionnaire. For vasomotor, psychosocial, physical, and sexual symptoms, participants were divided into absent or symptomatic groups, further divided into tertiles (range, 0-7; 7 being the most bothersome). Ideal CVH metrics were defined according to the American Heart Association Life Simple 7 metrics, except dietary component. Cardiovascular health metrics were scored from 0 (unhealthy) to 6 (healthy) and classified as poor (0-2), intermediate (3-4), and ideal (5-6). Multinomial logistic regression models were used to estimate the prevalence ratios for intermediate and poor CVH metrics using ideal CVH as the reference. RESULTS The overall and 4 menopause-specific quality of life domain scores were significantly associated with poorer CVH metrics scores in a dose-response manner ( P < 0.05). After adjusting for age, parity, education level, anti-Mullerian hormone levels, and alcohol intake, women with the most bothersome degree for vasomotor, psychosocial, physical, and sexual symptoms had significantly higher prevalence of poor CVH metrics, with corresponding prevalence ratios (95% confidence interval) of 2.90 (1.95-4.31), 2.07 (1.36-3.15), 3.01 (1.19-7.65), and 1.66 (1.15-2.39), respectively, compared with those without each vasomotor, psychosocial, physical, and sexual symptom. CONCLUSIONS Premenopausal stage women with either vasomotor or nonvasomotor menopausal symptoms have significantly higher prevalence of poor CVH metrics, compared with those without any menopausal symptoms.
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Affiliation(s)
- Hye Rin Choi
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Yoosoo Chang
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Yejin Kim
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yoosun Cho
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Min-Jung Kwon
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jeonggyu Kang
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ria Kwon
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Ga-Young Lim
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Kye-Hyun Kim
- Department of Obstetrics and Gynecology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hoon Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yun Soo Hong
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Jihwan Park
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Di Zhao
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Juhee Cho
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Eliseo Guallar
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
| | - Hyun-Young Park
- Department of Precision Medicine, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea
| | - Seungho Ryu
- From the Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
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Li X, Ma H, Wang X, Feng H, Qi L. Life's Essential 8, Genetic Susceptibility, and Incident Cardiovascular Disease: A Prospective Study. Arterioscler Thromb Vasc Biol 2023; 43:1324-1333. [PMID: 37199161 PMCID: PMC10330462 DOI: 10.1161/atvbaha.123.319290] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/08/2023] [Indexed: 05/19/2023]
Abstract
BACKGROUND The American Heart Association recently released a new cardiovascular health (CVH) metric, Life's Essential 8 (LE8), for health promotion. However, the association between levels of LE8 and the risk of cardiovascular disease (CVD) outcomes is not known from a large prospective cohort. We aim to analyze the relationship between CVH, indicated by LE8, and risks of coronary heart disease (CHD), stroke, and CVD. Moreover, we sought to test whether the genetic susceptibility to CHD or stroke could be modified by LE8. METHODS A total of 137 794 participants free of CVD from the UK Biobank were included. CVH was scored using LE8 and categorized as low, moderate, and high. RESULTS During a median of 10 years, 8595 CVD cases (6968 CHDs and 1948 strokes) were documented. A higher LE8 score was associated with remarkably lower risks of CHD, stroke, and CVD (P<0.001 for all). Comparing the high CVH to the low CVH, the hazard ratios (95% CI) were 0.34 (0.30-0.38) for CHD, 0.45 (0.37-0.54) for stroke, and 0.36 (0.33-0.40) for CVD. Moreover, the model with LE8 achieved higher accuracy and outperformed the model with Life's Simple 7 for CHD, stroke, and CVD (P<0.001 for all). The protective associations of the LE8 score with CVD outcomes were more pronounced among women (P interaction, <0.001 for CHD and 0.0013 for CVD, respectively) and among younger adults (P interaction, <0.001, 0.007, and <0.001 for CHD, stroke, and CVD, respectively). In addition, a significant interaction was found between the genetic risk of CHD and the LE8 score (P interaction, <0.001). The inverse association was stronger among those with a lower genetic risk of CHD. CONCLUSIONS High level of CVH, defined by LE8, was associated with significantly lower risks of CHD, stroke, and CVD.
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Affiliation(s)
- Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, LA, USA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, LA, USA
| | - Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, LA, USA
| | - Han Feng
- Tulane Research Innovation for Arrhythmias Discovery, School of Medicine, Tulane University, LA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, LA, USA
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Radovanovic M, Jankovic J, Mandic-Rajcevic S, Dumic I, Hanna RD, Nordstrom CW. Ideal Cardiovascular Health and Risk of Cardiovascular Events or Mortality: A Systematic Review and Meta-Analysis of Prospective Studies. J Clin Med 2023; 12:4417. [PMID: 37445451 DOI: 10.3390/jcm12134417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 06/25/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality worldwide, hence significant efforts have been made to establish behavior and risk factors associated with CVD. The American Heart Association proposed a 7-metric tool to promote ideal cardiovascular health (CVH). Recent data demonstrated that a higher number of ideal CVH metrics was associated with a lower risk of CVD, stroke, and mortality. Our study aimed to perform a systematic review and meta-analysis of prospective studies investigating the association of ideal CVH metrics and CVD, stroke, and cardiovascular mortality (CVM) in the general population. Medline and Scopus databases were searched from January 2010 to June 2022 for prospective studies reporting CVH metrics and outcomes on composite-CVD, coronary heart disease, myocardial infarction, stroke, and CVM. Each CVH metrics group was compared to another. Twenty-two studies totaling 3,240,660 adults (57.8% men) were analyzed. The follow-up duration was 12.0 ± 7.2 years. Our analysis confirmed that a higher number of ideal CVH metrics led to lower risk for CVD and CVM (statistically significant for composite-CVD, stroke, and CVM; p < 0.05). Conclusion: Even modest improvements in CVH are associated with CV-morbidity and mortality benefits, providing a strong public health message about the importance of a healthier lifestyle.
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Affiliation(s)
- Milan Radovanovic
- Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
- Department of Hospital Medicine, Mayo Clinic Health System, Eau Claire, WI 54703, USA
| | - Janko Jankovic
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
- Centre-School of Public Health and Health Management, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Stefan Mandic-Rajcevic
- Institute of Social Medicine, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
- Centre-School of Public Health and Health Management, Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Igor Dumic
- Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
- Department of Hospital Medicine, Mayo Clinic Health System, Eau Claire, WI 54703, USA
| | - Richard D Hanna
- Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
- Department of Cardiology, Mayo Clinic Health System, Eau Claire, WI 54703, USA
| | - Charles W Nordstrom
- Mayo Clinic College of Medicine and Science, Rochester, MN 55905, USA
- Department of Hospital Medicine, Mayo Clinic Health System, Eau Claire, WI 54703, USA
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30
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Herraiz-Adillo Á, Ahlqvist VH, Higueras-Fresnillo S, Berglind D, Wennberg P, Lenander C, Daka B, Ekstedt M, Sundström J, Ortega FB, Östgren CJ, Rådholm K, Henriksson P. Life's Essential 8 and carotid artery plaques: the Swedish cardiopulmonary bioimage study. Front Cardiovasc Med 2023; 10:1173550. [PMID: 37424911 PMCID: PMC10323823 DOI: 10.3389/fcvm.2023.1173550] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 06/07/2023] [Indexed: 07/11/2023] Open
Abstract
Background To quantify cardiovascular health (CVH), the American Heart Association (AHA) recently launched an updated construct of the "Life's Simple 7" (LS7) score, the "Life's Essential 8" (LE8) score. This study aims to analyse the association between both CVH scores and carotid artery plaques and to compare the predictive capacity of such scores for carotid plaques. Methods Randomly recruited participants aged 50-64 years from the Swedish CArdioPulmonary bioImage Study (SCAPIS) were analysed. According to the AHA definitions, two CVH scores were calculated: i) the LE8 score (0, worst CVH; 100, best CVH) and two different versions of the LS7 score [(0-7) and (0-14), 0 indicating the worst CVH]. Ultrasound-diagnosed carotid plaques were classified as no plaque, unilateral, and bilateral plaques. Associations were studied by adjusted multinomial logistic regression models and adjusted (marginal) prevalences, while comparison between LE8 and LS7 scores was performed through receiver operating characteristic (ROC) curves. Results After exclusions, 28,870 participants remained for analysis (50.3% women). The odds for bilateral carotid plaques were almost five times higher in the lowest LE8 (<50 points) group [OR: 4.93, (95% CI: 4.19-5.79); adjusted prevalence 40.5%, (95% CI: 37.9-43.2)] compared to the highest LE8 (≥80 points) group [adjusted prevalence 17.2%, (95% CI: 16.2-18.1)]. Also, the odds for unilateral carotid plaques were more than two times higher in the lowest LE8 group [OR: 2.14, (95% CI: 1.82-2.51); adjusted prevalence 31.5%, (95% CI: 28.9-34.2)] compared to the highest LE8 group [adjusted prevalence 29.4%, (95% CI: 28.3-30.5)]. The areas under ROC curves were similar between LE8 and LS7 (0-14) scores: for bilateral carotid plaques, 0.622 (95% CI: 0.614-0.630) vs. 0.621 (95% CI: 0.613-0.628), P = 0.578, respectively; and for any carotid plaque, 0.602 (95% CI: 0.596-0.609) vs. 0.600 (95% CI: 0.593-0.607), P = 0.194, respectively. Conclusion The new LE8 score showed inverse and dose-response associations with carotid plaques, particularly bilateral plaques. The LE8 did not outperform the conventional LS7 score, which showed similar ability to predict carotid plaques, especially when scored as 0-14 points. We conclude that both the LE8 and LS7 may be useful in clinical practice for monitoring CVH status in the adult population.
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Affiliation(s)
- Ángel Herraiz-Adillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Viktor H. Ahlqvist
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Sara Higueras-Fresnillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain
| | - Daniel Berglind
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
- Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Cecilia Lenander
- Department of Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Lund, Sweden
| | - Bledar Daka
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mattias Ekstedt
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Centre of Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Johan Sundström
- Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Francisco B. Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health, University Research Institute (iMUDS), University of Granada; CIBERobn Physiopathology of Obesity and Nutrition, Granada, Spain
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Carl Johan Östgren
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Centre of Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Karin Rådholm
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Pontus Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
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Isiozor NM, Kunutsor SK, Voutilainen A, Laukkanen JA. Life's Essential 8 and the risk of cardiovascular disease death and all-cause mortality in Finnish men. Eur J Prev Cardiol 2023; 30:658-667. [PMID: 36753230 DOI: 10.1093/eurjpc/zwad040] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/21/2023] [Accepted: 02/07/2023] [Indexed: 02/09/2023]
Abstract
AIMS The aim of the study was to examine the association between Life's Essential 8 (LE8) and the risk of cardiovascular and all-cause mortality. METHODS AND RESULTS The LE8 was computed for 1662 men, aged 42-60 years, without pre-existing history of cardiovascular disease (CVD) at baseline in the Kuopio Ischaemic Heart Disease study. The LE8 factors include diet, physical activity, nicotine exposure, sleep, body mass index, blood pressure, blood glucose, and lipids. Each LE8 factor was scored between 0 and 100 points. The summation of all points generated the total LE8 score, which was categorized into quartiles ≤-420, >420-485, >485-550, and >550. Multivariable Cox regression models were used to estimate hazard ratios and 95% confidence intervals of LE8 scores for the outcomes. During a median follow-up of 30 years, 402 and 987 men died from CVD and any cause, respectively. The total LE8 score among participants ranged from 185 to 750. The higher the LE8 scores, the lower the risk of dying from CVD and all-cause. Following adjustment for age, alcohol consumption, and socio-economic status, every 50-unit increase in LE8 score was associated with 17% and 14% lower risk of CVD and all-cause deaths, respectively. Men within LE8 top quartile had 60% lower risk of CVD mortality when compared with those within the bottom quartile. CONCLUSION Life's Essential 8 was strongly and inversely associated with the risk of CVD death and all-cause mortality among ageing men. Measures that promote optimal LE8 scores should be encouraged among the general population.
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Affiliation(s)
- Nzechukwu M Isiozor
- Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1, 70211 Kuopio, Finland
| | - Setor K Kunutsor
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Gwendolen Road, Leicester, LE5 4WP, UK
| | - Ari Voutilainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, Canthia Building, FI-70211 Kuopio, Finland
| | - Jari A Laukkanen
- Institute of Clinical Medicine, University of Eastern Finland, Yliopistonranta 1, 70211 Kuopio, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Yliopistonranta 1C, Canthia Building, FI-70211 Kuopio, Finland
- Department of Internal Medicine, Central Finland Health Care District, Hoitajantie 3, 40620 Jyväskylä, Finland
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32
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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: 4] [Impact Index Per Article: 2.0] [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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Sun J, Li Y, Zhao M, Yu X, Zhang C, Magnussen CG, Xi B. Association of the American Heart Association's new "Life's Essential 8" with all-cause and cardiovascular disease-specific mortality: prospective cohort study. BMC Med 2023; 21:116. [PMID: 36978123 PMCID: PMC10053736 DOI: 10.1186/s12916-023-02824-8] [Citation(s) in RCA: 109] [Impact Index Per Article: 54.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 03/09/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND The American Heart Association recently updated its construct of what constitutes cardiovascular health (CVH), called Life's Essential 8. We examined the association of total and individual CVH metrics according to Life's Essential 8 with all-cause and cardiovascular disease (CVD)-specific mortality later in life. METHODS Data were from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 at baseline linked to the 2019 National Death Index records. Total and individual CVH metric scores including diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure were classified as 0-49 (low level), 50-74 (intermediate level), and 75-100 (high level) points. The total CVH metric score (the average of the 8 metrics) as a continuous variable was also used for dose-response analysis. The main outcomes included all-cause and CVD-specific mortality. RESULTS A total of 19,951 US adults aged 30-79 years were included in this study. Only 19.5% of adults achieved a high total CVH score, whereas 24.1% had a low score. During a median follow-up of 7.6 years, compared with adults with a low total CVH score, those with an intermediate or high total CVH score had 40% (adjusted hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.51-0.71) and 58% (adjusted HR 0.42, 95% CI 0.32-0.56) reduced risk of all-cause mortality. The corresponding adjusted HRs (95%CIs) were 0.62 (0.46-0.83) and 0.36 (0.21-0.59) for CVD-specific mortality. The population-attributable fractions for high (score ≥ 75 points) vs. low or intermediate (score < 75 points) CVH scores were 33.4% for all-cause mortality and 42.9% for CVD-specific mortality. Among all 8 individual CVH metrics, physical activity, nicotine exposure, and diet accounted for a large proportion of the population-attributable risks for all-cause mortality, whereas physical activity, blood pressure, and blood glucose accounted for a large proportion of CVD-specific mortality. There were approximately linear dose-response associations of total CVH score (as a continuous variable) with all-cause and CVD-specific mortality. CONCLUSIONS Achieving a higher CVH score according to the new Life's Essential 8 was associated with a reduced risk of all-cause and CVD-specific mortality. Public health and healthcare efforts targeting the promotion of higher CVH scores could provide considerable benefits to reduce the mortality burden later in life.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China
| | - Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiao Yu
- Key Laboratory Experimental Teratology of the Ministry of Education, Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Cheng Zhang
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China.
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Das Gupta D, Kelekar U, Abram-Moyle M. Association between ideal cardiovascular health and multiple disabilities among US adults, BRFSS 2017-2019. Public Health 2023; 218:60-67. [PMID: 36965465 DOI: 10.1016/j.puhe.2023.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 01/18/2023] [Accepted: 02/14/2023] [Indexed: 03/27/2023]
Abstract
OBJECTIVES Cardiovascular health is the leading cause of death and disability in the United States. Our objective was to estimate the association between ideal cardiovascular health (ICVH) and multiple disabilities among US adults stratified into the three age groups of young (18-44 years), midlife (45-64 years), and older adults (≥65 years). STUDY DESIGN We conducted a cross-sectional analysis using data pooled from the 2017 and 2019 Behavioral Risk Factor Surveillance System (BRFSS). METHODS Using American Heart Association's seven-component (four ideal behaviors and three ideal health factors) scoring tool, we identified ICVH as a composite score ≥5 and also computed the ideal behavioral (score ≥3) and ideal health factors (score = 3) submetrics. The outcome, single vs multiple disabilities indicator, was defined using US Census's disability domains and analyzed using multinomial regression. RESULTS For all three groups, the prevalence of multiple disabilities was significantly lower among those meeting ICVH, ideal behavioral, and ideal health factors compared with those that did not. After controlling for covariates, ICVH score ≥5 was associated with lower relative risk of multiple disabilities in all groups. Although both ideal health and ideal behavioral factors were associated with lower relative risk of multiple disabilities among all groups, the reduction in risk was the highest for multiple disabilities and ideal behavioral factors among midlife (relative risk ratio: 0.30, 95% confidence interval: 0.25, 0.36) and older adults (relative risk ratio: 0.40, 95% confidence interval: 0.33, 0.48). CONCLUSION Adults with less-than-ideal cardiovascular health had a higher relative risk of multiple disabilities. Addressing the risk of multiple disabilities of US adults will require effective promotion of ICVH.
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Affiliation(s)
- D Das Gupta
- Department of Kinesiology and Health Science, Emma Eccles Jones College of Education and Human Services, Utah State University, 7000 Old Main Hill, Logan, UT, 84322, USA.
| | - U Kelekar
- School of Business, Innovation, Leadership and Technology and Marymount Center for Optimal Aging, Marymount University, USA
| | - M Abram-Moyle
- Department of Kinesiology and Health Science, Emma Eccles Jones College of Education and Human Services, Utah State University, USA
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Douglas PS, McCallum S, Lu MT, Umbleja T, Fitch KV, Foldyna B, Zanni MV, Fulda ES, Bloomfield GS, Fichtenbaum CJ, Overton ET, Aberg JA, Malvestutto CD, Burdo TH, Arduino RC, Ho KS, Yin MT, Ribaudo HJ, Grinspoon SK. Ideal cardiovascular health, biomarkers, and coronary artery disease in persons with HIV. AIDS 2023; 37:423-434. [PMID: 36525544 PMCID: PMC9877147 DOI: 10.1097/qad.0000000000003418] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 10/24/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To investigate relationships between Life's Simple 7 (LS7), an assessment of cardiovascular health (CVH), and coronary plaque among people with HIV (PWH). DESIGN Cross-sectional. METHODS Coronary computed tomography angiography, immune/inflammatory biomarkers, and characterization of LS7 were collected among a subset of ART-treated PWH enrolled in REPRIEVE, a primary prevention trial. Analyses adjusted for cardiovascular disease risk (ASCVD score). RESULTS Median age of the 735 participants was 51(±6) years, 16% female, and median (Q1-Q3) CVD risk was 4.5% (2.6-6.9). Forty percent had poor (≤2 ideal components), 51% had intermediate (three or four ideal components), and only 9% had ideal CVH (≥5). Coronary plaque was present in 357 (49%); 167 (23%) had one or more vulnerable plaque features, 293 (40%) had noncalcified plaque, and 242 (35%) had a coronary artery calcium score >0. All three phenotypes were increasingly more prevalent with poorer CVH and these relationships remained after adjusting for ASCVD risk. Poor CVH was associated with higher high-sensitivity C-reactive protein, oxidized low-density cholesterol, and interleukin-6. The relationship of LS7 to plaque remained after adjusting for these biomarkers. CONCLUSIONS Among PWH, poor CVH as measured by LS7 was associated with coronary plaque presence, vulnerable features, and calcification. LS7 was also associated with selected biomarkers; adjustment for these and ASCVD score reduced but did not eliminate LS7's association with plaque, suggesting the possibility of additional protective mechanisms against atherogenesis and plaque remodeling. Clinical use of LS7 and further exploration of its relationships with coronary artery disease may enhance efforts to reduce cardiovascular morbidity and mortality in PWH. CLINICAL TRIALS REGISTRATION NCT02344290.
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Affiliation(s)
- Pamela S. Douglas
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Sara McCallum
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Michael T. Lu
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
| | - Triin Umbleja
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kathleen V. Fitch
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Borek Foldyna
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School
| | - Markella V. Zanni
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Evelynne S. Fulda
- Metabolism Unit, Massachusetts General Hospital, Harvard Medical School
| | - Gerald S. Bloomfield
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Carl J. Fichtenbaum
- Division of Infectious Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Edgar T. Overton
- Division of Infectious Diseases, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama
| | - Judith A. Aberg
- Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Carlos D. Malvestutto
- Division of Infectious Diseases, Ohio State University Medical Center, Columbus, Ohio
| | - Tricia H. Burdo
- Department of Microbiology, Immunology, and Inflammation and Center for NeuroVirology and Gene Editing, Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania
| | - Roberto C. Arduino
- Division of Infectious Diseases, McGovern Medical School at The University of Texas Health Science Center, Houston, Texas
| | - Ken S. Ho
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael T. Yin
- Division of Infectious Diseases, Columbia University College of Physicians and Surgeons, New York, New York, USA
| | - Heather J. Ribaudo
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Singh SS, Stranges S, Wilk P, Tang ASL, Frisbee SJ. Influence of the Social Environment on Ideal Cardiovascular Health. J Am Heart Assoc 2023; 12:e026790. [PMID: 36789849 PMCID: PMC10111502 DOI: 10.1161/jaha.122.026790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Background The environment plays a large role in the health of individuals; however, more research is needed to better understand aspects of the environment that most influence health. Specifically, our study examines how the social environment influences cardiovascular health (CVH). Methods and Results The social environment was characterized using measures of belonging and life and work stress in individuals, as well as nationally derived measures of marginalization, deprivation, economic status, and community well-being in neighborhoods. CVH was defined by the American Heart Association's Cardiovascular Health Index-a summed score of 7 clinical and behavioral components known to have the greatest impact on CVH. Data were obtained from the Canadian Community Health Survey 2015 to 2016 and multiple national data sources. Multilevel regression models were used to analyze the associations between CVH and the social environment. Overall, 27% of Canadians reported ideal CVH (6-7 score points), 68% reported intermediate CVH (3-5 score points), and 5% reported poor CVH (0-2 score points). The neighborhood environment contributed up to 7% of the differences in CVH between individuals. Findings indicated that residing in a neighborhood with greater community well-being (odds ratio [OR], 1.33 [95% CI, 1.26-1.41]) was associated with achieving higher odds of ideal CVH, while weaker community belonging (OR, 0.67 [95% CI, 0.62-0.72]) and residing in a neighborhood with greater marginalization (OR, 0.87 [95% CI, 0.82-0.91]) and deprivation (OR, 0.67 [95% CI, 0.64-0.69]) were associated with achieving lower odds of ideal CVH. Conclusions Aspects of individual-level social environment and residing in a neighborhood with a more favorable social environment were both independently and significantly associated with achieving ideal CVH.
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Affiliation(s)
- Sarah S Singh
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Medicine, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada.,Department of Family Medicine, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada.,Department of Precision Medicine Luxembourg Institute of Health Strassen Luxembourg
| | - Piotr Wilk
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Paediatrics, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada
| | - Anthony S L Tang
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Medicine, Division of Cardiology, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada
| | - Stephanie J Frisbee
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry University of Western Ontario London Ontario Canada.,Department of Pathology & Laboratory Medicine, Schulich School of Medicine & Dentistry University of Western Ontario London Ontario Canada.,Lawson Health Research Institute London Ontario Canada
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Aekplakorn W, Neelapaichit N, Chariyalertsak S, Kessomboon P, Assanangkornchai S, Taneepanichskul S, Sangwatanaroj S, Laohavinij W, Nonthaluck J. Ideal cardiovascular health and all-cause or cardiovascular mortality in a longitudinal study of the Thai National Health Examination Survey IV and V. Sci Rep 2023; 13:2781. [PMID: 36797348 PMCID: PMC9935621 DOI: 10.1038/s41598-023-29959-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
The relationship of ideal cardiovascular health (CVH) and health outcomes has been rarely assessed in middle-income countries. We determined the ideal CVH metrics and association with all-cause and cardiovascular (CVD) mortality in the Thai population. We used baseline data from two rounds of the National Health Examination survey (15,219 participants in 2009 and 14,499 in 2014), and assessed all-cause and CVD deaths until 2020. The prevalence of 5-7 ideal CVH metrics in 2009 was 10.4% versus 9.5% in 2014. During a median follow-up of 7.1 years, the all-cause and CVD mortality rates were 19.4 and 4.6 per 1000 person-years for 0-1 ideal CVH metrics, and 13.0 and 2.1, 9.6 and 1.5, 6.0 and 1.0, and 2.9 and 0.4 per 1000 person-years for 2, 3, 4, and 5-7 ideal CVH metrics, respectively. Participants with 2, 3, 4, or 5-7 ideal metrics had a significantly lower risk of mortality than those with 0-1 ideal CVH metrics (adjusted hazard ratios: 0.75, 0.70, 0.60, and 0.47 for all-cause, and 0.54, 0.52, 0.50, and 0.31 for CVD, respectively). Individuals with a higher number of the modified ideal CVH metrics have a lower risk of all-cause and CVD mortality.
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Affiliation(s)
- Wichai Aekplakorn
- Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Rama VI Rd., Ratchathewi, Bangkok, Thailand.
| | - Nareemarn Neelapaichit
- grid.10223.320000 0004 1937 0490Ramathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Suwat Chariyalertsak
- grid.7132.70000 0000 9039 7662Faculty of Public Health, Chiang Mai University, Chiang Mai, Thailand
| | - Pattapong Kessomboon
- grid.9786.00000 0004 0470 0856Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Sawitri Assanangkornchai
- grid.7130.50000 0004 0470 1162Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Surasak Taneepanichskul
- grid.7922.e0000 0001 0244 7875College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand
| | - Somkiat Sangwatanaroj
- grid.7922.e0000 0001 0244 7875Department of Internal Medicine, Faculty of Medicine Chulalongkorn Hospital, Chulalongkorn University, Rama VI Rd., Pathumwan, Bangkok, Thailand
| | - Wasin Laohavinij
- grid.7922.e0000 0001 0244 7875Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Jiraluck Nonthaluck
- grid.10223.320000 0004 1937 0490Department of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok, Thailand
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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: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 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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Huynh Q, Venn AJ, Magnussen CG, Yang H, Venkataraman P, Dwyer T, Marwick TH. Use of clinical scores in young Australian adults for prediction of atherosclerosis in middle age. BMC Cardiovasc Disord 2023; 23:63. [PMID: 36737706 PMCID: PMC9896707 DOI: 10.1186/s12872-023-03060-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/11/2023] [Indexed: 02/05/2023] Open
Abstract
We sought to apply a simple cardiovascular health tool not requiring laboratory tests (the Fuster-BEWAT score, FBS) to predict subclinical atherosclerosis. This study included 2657 young adults (< 40 years of age). In the prognostic group (n = 894, followed for 13 years until aged 40-50 years at follow-up), the primary outcome was presence of carotid plaque measured by carotid ultrasound at follow-up. Of these 894 participants, 86 (9.6%) had unilateral, and 23 participants (2.6%) had bilateral, carotid plaques at follow-up. The baseline FBS was predictive of carotid plaque at follow-up [odds ratio OR = 0.86 (95% CI 0.77-0.96) per 1-SD increase in FBS], similar to prediction from Pooled Cohort Equation [PCE, OR = 0.72 (0.61-0.85) per 1-SD decrease in PCE]. Risk scores at baseline predicted outcomes more strongly than those at follow-up, and did so independently of any changes over 13 years of follow-up. Similar discrimination for predicting carotid plaque after 13 years was found for both baseline FBS [C-statistic = 0.68 (95% CI 0.62-0.74)] and PCE [C-statistic = 0.69 (95% CI 0.63-0.75)]. Application of this FBS prognostic information to a contemporary cohort of 1763 young adults anticipates the future development of plaque in 305 (17.3%), especially in the 1494 participants (85%) with ≤ 2 metrics of ideal health. In conclusions, FBS measured in young adulthood predicted atherosclerosis 13 years later in middle age, independent of score changes over the follow-up period, emphasizing the importance of early damage to vascular health. FBS may be a simple and feasible risk score for engaging low-risk young people with reduction of future cardiovascular risk.
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Affiliation(s)
- Quan Huynh
- Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia. .,Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia.
| | - Alison J. Venn
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Costan G. Magnussen
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC 3004 Australia ,grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia ,Research Centre of Applied and Preventive Cardiovascular Medicine, Turku, Finland ,grid.410552.70000 0004 0628 215XCentre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
| | - Hong Yang
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Prasanna Venkataraman
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC 3004 Australia
| | - Terence Dwyer
- grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia ,grid.4991.50000 0004 1936 8948Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, UK
| | - Thomas H. Marwick
- grid.1051.50000 0000 9760 5620Baker Heart and Diabetes Research Institute, 75 Commercial Road, Melbourne, VIC 3004 Australia ,grid.1009.80000 0004 1936 826XMenzies Institute for Medical Research, University of Tasmania, Hobart, Australia
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Van Sloten T, Valentin E, Climie RE, Deraz O, Weiderpass E, Jouven X, Goldberg M, Zins M, Empana JP. Association of Midlife Cardiovascular Health and Subsequent Change in Cardiovascular Health With Incident Cancer. JACC CardioOncol 2023; 5:39-52. [PMID: 36875895 PMCID: PMC9982214 DOI: 10.1016/j.jaccao.2022.11.015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 10/26/2022] [Accepted: 11/02/2022] [Indexed: 02/25/2023] Open
Abstract
Background The commonality of risk factors between cancer and cardiovascular disease suggests that primordial prevention (preventing the onset of risk factors) is a relevant strategy for cancer prevention. Objectives This study sought to examine the association between baseline and change in the cardiovascular health (CVH) score and incident cancer. Methods Using serial examinations of the GAZEL (GAZ et ELECTRICITE de France) study in France, we examined the associations between the American Heart Association's Life's Simple 7 CVH score (range: 0-to 14 [poor, intermediate, and ideal level of smoking, physical activity, body mass index, diet, blood pressure, diabetes status, or lipids]) in 1989/1990, their change over 7 years, and incident cancer and cardiac events up to 2015. Results The study population included 13,933 participants (mean age: 45.3 ± 3.4 years, 24% women). After a median follow-up of 24.8 years (Q1-Q3: 19.4-24.9 years), 2,010 participants had an incident cancer and 899 a cardiac event. The risk of cancer (any site) decreased by 9% (HR: 0.91; 95% CI: 0.88-0.93) per 1-point increase in the CVH score in 1989/1990 compared with a 20% (HR: 0.80; 95% CI: 0.77-0.83) risk reduction for cardiac events. The risk of cancer decreased by 5% (HR: 0.95; 95% CI: 0.92-0.99) per unit of change in the CVH score between 1989/1990 and 1996/1997 compared with a 7% risk reduction for cardiac events (HR: 0.93; 95% CI: 0.88-0.98). These associations remained after omitting the smoking metric from the CVH score. Conclusions Primordial prevention is a relevant strategy for the prevention of cancer in the population.
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Affiliation(s)
- Thomas Van Sloten
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S970, PARis Cardiovascular research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Eugénie Valentin
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S970, PARis Cardiovascular research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Rachel E. Climie
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S970, PARis Cardiovascular research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Menzies Institute for Medical Research, University of Tasmania, Hobert, Australia
| | - Omar Deraz
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S970, PARis Cardiovascular research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | | | - Xavier Jouven
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S970, PARis Cardiovascular research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Marcel Goldberg
- Université de Paris, “Population-based Cohorts Unit,” Institut National de la Santé et de la Recherche Médicale, Paris Saclay University, Paris, France
| | - Marie Zins
- Université de Paris, “Population-based Cohorts Unit,” Institut National de la Santé et de la Recherche Médicale, Paris Saclay University, Paris, France
| | - Jean-Philippe Empana
- Université Paris Cité, Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche-S970, PARis Cardiovascular research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Address for correspondence: Dr Jean-Philippe Empana, INSERM U970, Paris Cardiovascular Research Centre, Paris Descartes University, 56 Rue Leblanc, 75015 Paris, France.
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Klimis H, Pinthus JH, Aghel N, Duceppe E, Fradet V, Brown I, Siemens DR, Shayegan B, Klotz L, Luke PP, Niazi T, Lavallee LT, Mousavi N, Hamilton RJ, Chin JL, Gopaul D, Violette PD, Davis MK, Hanna N, Sabbagh R, Ben Zadok OI, Hajjar LA, Kann AG, Mian R, Rangarajan S, Huei Ng KK, Iakobishvili Z, Selvanayagam JB, Avezum A, Leong DP. The Burden of Uncontrolled Cardiovascular Risk Factors in Men With Prostate Cancer: A RADICAL-PC Analysis. JACC CardioOncol 2023; 5:70-81. [PMID: 36875906 PMCID: PMC9982287 DOI: 10.1016/j.jaccao.2022.09.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 09/12/2022] [Accepted: 09/16/2022] [Indexed: 01/18/2023] Open
Abstract
Background Cardiovascular disease (CVD) incidence is higher in men with prostate cancer (PC) than without. Objectives We describe the rate and correlates of poor cardiovascular risk factor control among men with PC. Methods We prospectively characterized 2,811 consecutive men (mean age 68 ± 8 years) with PC from 24 sites in Canada, Israel, Brazil, and Australia. We defined poor overall risk factor control as ≥3 of the following: suboptimal low-density lipoprotein cholesterol (>2 mmol/L if Framingham Risk Score [FRS] ≥15 and ≥3.5 mmol/L if FRS <15), current smoker, physical inactivity (<600 MET min/wk), suboptimal blood pressure (BP) (≥140/90 mm Hg if no other risk factors, systolic BP ≥120 mm Hg if known CVD or FRS ≥15, and ≥130/80 mm Hg if diabetic), and waist:hip ratio >0.9. Results Among participants (9% with metastatic PC and 23% with pre-existing CVD), 99% had ≥1 uncontrolled cardiovascular risk factor, and 51% had poor overall risk factor control. Not taking a statin (odds ratio [OR]: 2.55; 95% CI: 2.00-3.26), physical frailty (OR: 2.37; 95% CI: 1.51-3.71), need for BP drugs (OR: 2.36; 95% CI: 1.84-3.03), and age (OR per 10-year increase: 1.34; 95% CI: 1.14-1.59) were associated with poor overall risk factor control after adjustment for education, PC characteristics, androgen deprivation therapy, depression, and Eastern Cooperative Oncology Group functional status. Conclusions Poor control of modifiable cardiovascular risk factors is common in men with PC, highlighting the large gap in care and the need for improved interventions to optimize cardiovascular risk management in this population.
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Key Words
- ADT, androgen deprivation therapy
- BP, blood pressure
- CVD, cardiovascular disease
- ECOG, Eastern Cooperative Oncology Group
- GnRH, gonadotropin-releasing hormone
- HDL, high-density lipoprotein
- HbA1c, glycosylated hemoglobin
- LDL, low-density lipoprotein
- PC, prostate cancer
- PHQ-9, Patient Health Questionnaire-9
- PSA, prostate-specific antigen
- androgen deprivation therapy
- cardiovascular disease prevention
- cardiovascular risk
- prospective
- prostate cancer
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Affiliation(s)
- Harry Klimis
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | | | - Nazanin Aghel
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada.,Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Emmanuelle Duceppe
- Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Vincent Fradet
- Department of Surgery, Université Laval, Quebec, Canada.,Research Center of CHU de Québec, Université Laval, Oncology Axis, Quebec, Canada.,CHU de Québec, Site L'Hôtel-Dieu de Québec, Quebec, Canada
| | - Ian Brown
- Division of Urology, Niagara Health System, Saint Catharines, Ontario, Canada
| | - D Robert Siemens
- Queen's Cancer Research Institute, Kingston, Ontario, Canada.,Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.,Department of Urology, Queen's University, Kingston, Ontario, Canada
| | - Bobby Shayegan
- Department of Surgery, Division of Urology, St Joseph's Healthcare, McMaster University, Hamilton, ON, Canada
| | - Laurence Klotz
- Department of Surgery, Division of Urology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Patrick P Luke
- Department of Surgery, Division of Urology, London Health Sciences Centre, Western University, London, Ontario, Canada
| | - Tamim Niazi
- Radiation Oncology Department, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - Luke T Lavallee
- Division of Urology, Department of Surgery, The Ottawa Hospital, The University of Ottawa, Ottawa, Ontario, Canada
| | - Negareh Mousavi
- Department of Medicine, Division of Cardiology, McGill University Health Center, Montreal, Quebec, Canada
| | - Robert J Hamilton
- Department of Surgery, Division of Urology, Princess Margaret Cancer Centre, University of Toronto, Toronto, Ontario, Canada
| | - Joseph L Chin
- Department of Urology, University of Western Ontario, London Health Sciences Centre, London, Ontario, Canada
| | - Darin Gopaul
- Department of Medicine, Division of Radiation Oncology, Grand River Regional Cancer Centre, Kitchener, Ontario, Canada
| | - Philippe D Violette
- Department of Surgery, McMaster University, Hamilton, Ontario, Canada.,Woodstock Hospital, Woodstock, Ontario, Canada
| | - Margot K Davis
- Department of Medicine, Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Nawar Hanna
- Department of Surgery, Division of Urology, CIUSSS de l'Est-de-l'Île-de-Montréal, Installation Hôpital Maisonneuve-Rosemont, Montreal, Quebec, Canada
| | - Robert Sabbagh
- Department of Surgery, Division of Urology, Université de Sherbrooke, Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Québec, Canada
| | | | - Ludhmila Abrahão Hajjar
- Department of Cardiology, Instituto do Coração, Universidade de São Paulo, São Paulo, Brazil
| | | | - Rajibul Mian
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Sumathy Rangarajan
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Kelvin Kuan Huei Ng
- Department of Medicine, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Zaza Iakobishvili
- Department of Community Cardiology, Tel Aviv Jaffa District, Clalit Health Fund and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Joseph B Selvanayagam
- Department of Medicine, School of Medicine and Public Health, Flinders University, Adelaide, Australia.,Department of Heart Health, South Australian Health and Medical Research Institute, Adelaide, Australia
| | | | - Darryl P Leong
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
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Higueras-Fresnillo S, Herraiz-Adillo Á, Ahlqvist VH, Berglind D, Lenander C, Daka B, Brännholm Syrjälä M, Sundström J, Östgren CJ, Rådholm K, Henriksson P. Low prevalence of ideal cardiovascular health in the general Swedish population: Results from the Swedish CArdioPulmonary bioImage Study (SCAPIS). Scand J Public Health 2023:14034948221147093. [PMID: 36645148 DOI: 10.1177/14034948221147093] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
The aim of the current study was to examine the prevalence of ideal cardiovascular health (iCVH) in the general Swedish middle-aged population. To address this aim, we utilised data from the Swedish CArdioPulmonary bioImage Study (SCAPIS) which is a large Swedish population-based study (N=30,154) that combined comprehensive state-of-the-art imaging technology with clinical examinations and included all iCVH components. A total iCVH score was calculated as the number of iCVH metrics at an ideal level for the seven components and classified as: ideal (⩾5 ideal components), intermediate (3-4 ideal components) and poor (⩽2 ideal components). Our results showed that only 18.2% of the population reached ideal status (i.e. ⩾5 components at the ideal level), whereas 51.9% were classified as intermediate status and 29.9% as poor status of iCVH. Women had a higher prevalence of iCVH status (23.9% vs. 12.0%) and a lower prevalence of poor iCVH status (23.5% vs. 36.8%). Our data may serve as benchmarks for future national and international comparisons and motivate efforts to promote cardiovascular health in the general population, given the strong link between iCVH with all-cause and cardiovascular disease mortality and morbidity.
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Affiliation(s)
| | - Ángel Herraiz-Adillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Sweden
| | | | - Daniel Berglind
- Department of Global Public Health, Karolinska Institutet, Sweden.,Centre for Epidemiology and Community Medicine, Region Stockholm, Sweden
| | - Cecilia Lenander
- Department for Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Sweden
| | - Bledar Daka
- School of public health and community medicine, Sahlgrenska Academy, University of Gothenburg, Sweden
| | | | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Sweden.,The George Institute for Global Health, University of New South Wales, Australia
| | - Carl Johan Östgren
- Department of Health, Medicine and Caring Sciences, Linköping University, Sweden.,Centre for Medical Image Science and Visualization (CMIV), Linköping University, Sweden
| | - Karin Rådholm
- Department of Health, Medicine and Caring Sciences, Linköping University, Sweden.,The George Institute for Global Health, University of New South Wales, Australia
| | - Pontus Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, Sweden
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43
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Cunha MR, Mattos S, Klein MRST, Neves MF. Early Vascular Aging in Obese Individuals with Low Cardiovascular Health. High Blood Press Cardiovasc Prev 2023; 30:45-54. [PMID: 36508151 DOI: 10.1007/s40292-022-00555-0] [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: 10/16/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The American Heart Association updated the original recommendations for cardiovascular health (CVH) promotion, defining the Life's Essential 8 (L8). AIM the aim of this cross-sectional study was to compare vascular function, central hemodynamics and autonomic modulation in obese individuals with low and moderate CVH-L8. METHODS Both sexes, aged 40-70 years and Body Mass Index ≥ 30 and < 40 kg/m2, were submitted to anthropometric and biochemical evaluation, assessment of heart rate variability, endothelial function by flow-mediated dilatation (FMD) and central parameters by oscillometry. The CVH-L8 score was determined using the eight metrics defined in the new classification. RESULTS Patients (n = 82) were divided according to CVH-L8 classification: moderate group (score CVH-L8 ≥ 50 ≤ 79 points, n = 47) and low group (score CVH-L8 ≤ 49 points, n = 35). Peripheral (119 ± 10 vs 125 ± 15 mmHg, p = 0.048) and central (111 ± 10 vs 118 ± 15 mmHg; p = 0.016) systolic blood pressures and pulse wave velocity (PWV) adequacy (- 0.08 ± 0.34 vs 0.15 ± 0.42 m/s, p = 0.008) were significantly higher in low CVH-L8 group. Brachial FMD (9.24 ± 5.41 vs 6.79 ± 4.74%, p = 0.043) were lower in this same group. Only in the low CVH-L8 group low frequency/high frequency (LF/HF) ratio was significantly correlated with PWV (r = 0.338, p = 0.047) and atherogenic index of plasma with Framingham risk score (r = 0.446, p = 0.008), even after adjustment for age and sex. CONCLUSION In this sample of obese individuals, low CVH-L8 was associated with higher peripheral and central blood pressures, and evidence of early vascular aging with arterial stiffness and endothelial dysfunction.
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Affiliation(s)
- Michelle Rabello Cunha
- Department of Clinical Medicine, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
| | - Samanta Mattos
- Department of Clinical Medicine, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
| | - Márcia R S T Klein
- Department of Applied Nutrition, Nutrition Institute, State University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Mario Fritsch Neves
- Department of Clinical Medicine, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil
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44
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Patterson SL, Marcus M, Goetz M, Vaccarino V, Gooding HC. Depression and Anxiety Are Associated With Cardiovascular Health in Young Adults. J Am Heart Assoc 2022; 11:e027610. [PMID: 36533593 PMCID: PMC9798786 DOI: 10.1161/jaha.122.027610] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 07/24/2022] [Accepted: 11/14/2022] [Indexed: 12/23/2022]
Abstract
Background Cardiovascular health (CVH) declines in young adulthood, and mood disorders commonly emerge during this life stage. This study examined the association between depression, anxiety, and CVH metrics among young adults. Methods and Results We conducted a cross-sectional analysis of participants aged 18 to 34 years who completed the Emory Healthy Aging Study Health History Questionnaire (n=875). We classified participants as having poor, intermediate, or ideal levels of the 8 CVH metrics using definitions set forth by the American Heart Association with adaptions when necessary. We defined depression and anxiety as absent, mild, or moderate to severe using standard cutoffs for Patient Health Questionnaire and General Anxiety Disorder scales. We used multivariable regression to examine the association between depression and anxiety and CVH, adjusting for age, sex, race and ethnicity, income, and education. The mean participant age was 28.3 years, and the majority identified as women (724; 82.7%); 129 (14.7%) participants had moderate to severe anxiety, and 128 (14.6%) participants had moderate to severe depression. Compared with those without anxiety, participants with moderate to severe anxiety were less likely to meet ideal levels of physical activity (adjusted prevalence ratio [aPR], 0.60 [95% CI, 0.44-0.82]), smoking (aPR, 0.90 [95% CI, 0.82-0.99]), and body mass index (aPR, 0.79 [95% CI, 0.66-0.95]). Participants with moderate to severe depression were less likely than those without depression to meet ideal levels of physical activity (aPR, 0.48 [95% CI, 0.34-0.69]), body mass index (aPR, 0.75 [95% CI, 0.61-0.91]), sleep (aPR, 0.79 [95% CI, 0.66-0.94]), and blood pressure (aPR, 0.92 [95% CI, 0.86-0.99]). Conclusions Anxiety and depression are associated with less ideal CVH in young adults. Interventions targeting CVH behaviors such as physical activity, diet, and sleep may improve both mood and CVH.
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Affiliation(s)
- Sierra L. Patterson
- Department of EpidemiologyUniversity of North Carolina at Chapel HillChapel HillNC
| | - Michele Marcus
- Department of EpidemiologyRollins School of Public HealthAtlantaGA
- Department of Environmental HealthRollins School of Public HealthAtlantaGA
| | | | - Viola Vaccarino
- Department of EpidemiologyRollins School of Public HealthAtlantaGA
| | - Holly C. Gooding
- Department of PediatricsEmory University School of MedicineAtlantaGAUnited States
- Children’s Healthcare of AtlantaAtlantaGA
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45
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Hoang MT, Lee H, Kim HC. Spousal concordance of ideal cardiovascular health metrics: findings from the 2014-2019 Korea National Health and Nutrition Examination Survey. Clin Hypertens 2022; 28:41. [PMID: 36517881 PMCID: PMC9753352 DOI: 10.1186/s40885-022-00224-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/31/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUNDS We aimed to investigate whether a spouse's cardiovascular health (CVH) metrics status affects the other spouse's ideal CVH using a Korea nationwide representative survey. METHODS We used the health data of 6,030 married couples who participated in the Korea National Health and Nutrition Examination Survey from 2014 to 2019. The CVH was defined using seven metrics: smoking status, blood pressure, body mass index, total cholesterol, fasting blood glucose, physical activity, and diet, following the American Heart Association guidelines and modifications for body mass index cutoffs and diet quality. The CVH score was calculated on a scale ranging from 0 to 7, with the ideal CVH defined as attaining ideal scores in at least five CVH metrics. Multiple logistic regression analyses were used to assess whether husband's ideal CVH was associated with his wife's odds for having ideal CVH, and vice versa. RESULTS The mean CVH scores were 3.2 and 4.0 for husband and wife, respectively. After fully adjusting for age and education of both partners and household income, husbands had 1.49 times (95% confidence interval [CI], 1.27-1.69) higher odds of achieving ideal CVH if their wives had also achieved ideal CVH. Meanwhile, wives whose husbands achieved ideal CVH also had 1.46 times (95% CI, 1.27-1.69) higher odds of achieving ideal CVH. Nonsmoking (57.17%), ideal fasting blood glucose level (34.93%), and ideal diet intake (24.18%) were the most concordant CVH metrics among spouses. CONCLUSIONS Our study found a significant spousal concordance of ideal CVH in Korean married couples. This finding supports the use of a couple-based interventional strategy targeted to promote CVH.
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Affiliation(s)
- Manh Thang Hoang
- grid.15444.300000 0004 0470 5454Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea
| | - Hokyou Lee
- grid.15444.300000 0004 0470 5454Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyeon Chang Kim
- grid.15444.300000 0004 0470 5454Department of Public Health, Graduate School, Yonsei University, Seoul, Republic of Korea ,grid.15444.300000 0004 0470 5454Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea ,grid.15444.300000 0004 0470 5454Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Republic of Korea
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46
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Pompeo EDP, Leite JA, Pereira RA, Muraro AP, Gorgulho BM, Souza BSN, Ferreira MG, Souza AM, Rodrigues PRM. Ideal Cardiovascular Health in adolescents: Findings from Study of Cardiovascular Risks in Adolescents. Nutr Metab Cardiovasc Dis 2022; 32:2603-2611. [PMID: 36163217 DOI: 10.1016/j.numecd.2022.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 07/09/2022] [Accepted: 08/18/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND AIM We assessed the Ideal Cardiovascular Health (CVH) in Brazilian adolescents according to demographics and socioeconomic characteristics. METHODS AND RESULTS This is a cross-sectional study with data from the Study of Cardiovascular Risks in Adolescents (ERICA), with a nationwide representative sample of 36,956 Brazilian adolescents, aged 12-17 years, enrolled in public and private schools. The CVH metrics considered were body mass index (BMI), physical activity, smoking, healthy diet score, blood pressure, fasting plasma glucose, and total cholesterol. The demographics and socioeconomic characteristics analyzed were sex, age, race/skin color, and type of school attended. The study design was considered, and the significant difference determined by the non-overlapping of 95% Confidence Interval. The mean ideal CVH score was 4.0, higher for females, adolescents aged 15-17 years, and students from private schools. The prevalence of ideal fasting plasma glucose was 96%, of non-smoking 95.6%, of ideal blood pressure 75.5%, of ideal BMI 73.2%, of ideal total cholesterol 55.4%, of ideal physical activity 45.2%, and only 0.5% had an ideal diet. The prevalence of ideal CVH metrics varied according to demographics and socioeconomic characteristics. CONCLUSION Females, older adolescents, and students who attended private school had a better CVH. Demographics and socioeconomic characteristics were associated with CVH metrics. The low ideal proportions found for diet and physical activity are of concern and reinforce the need for food and nutritional educational actions designed to promote healthy behaviors in adolescence to prevent the development of cardiovascular diseases.
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Affiliation(s)
| | - Jéssica A Leite
- Faculdade de Nutrição, Universidade Federal de Mato Grosso, Brazil
| | - Rosangela A Pereira
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Brazil
| | - Ana Paula Muraro
- Instituto de Saúde Coletiva, Universidade Federal de Mato Grosso, Brazil
| | | | - Bárbara S N Souza
- Instituto de Saúde Coletiva, Universidade Federal de Mato Grosso, Brazil
| | | | - Amanda M Souza
- Instituto de Estudos em Saúde Coletiva, Universidade Federal do Rio de Janeiro, Brazil
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Hazany S, Nguyen KL, Lee M, Zhang A, Mokhtar P, Crossley A, Luthra S, Butani P, Dergalust S, Ellingson B, Hinman JD. Regional Cerebral Small Vessel Disease (rCSVD) Score: A clinical MRI grading system validated in a stroke cohort. J Clin Neurosci 2022; 105:131-136. [PMID: 36183571 PMCID: PMC10163829 DOI: 10.1016/j.jocn.2022.09.014] [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: 07/27/2022] [Revised: 09/06/2022] [Accepted: 09/20/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Current methods for quantitative assessment of cerebral small vessel disease (CSVD) ignore critical aspects of the disease, namely lesion type and regionality. We developed and tested a new scoring system for CSVD, "regional Cerebral Small Vessel Disease" (rCSVD) based on regional assessment of magnetic resonance imaging (MRI) features. METHODS 141 patients were retrospectively included with a derivation cohort of 46 consecutive brain MRI exams and a validation cohort of 95 patients with known cerebrovascular disease. We compared the predictive value of rCSVD against existing scoring methods. We determined the predictive value of rCSVD score for all-cause mortality and recurrent strokes. RESULTS 46 (44 male) veteran patients (age: 66-93 years), were included for derivation of the rCSVD score. A non-overlapping validation cohort consisted of 95 patients (89 male; age: 34-91 years) with known cerebrovascular disease were enrolled. Based on ROC analysis with comparison of AUC (Area Under the Curve), "rCSVD" score performed better compared to "total SVD score" and Fazekas score for predicting all-cause mortality (0.75 vs 0.68 vs 0.69; p = 0.046). "rCSVD" and total SVD scores were predictive of recurrent strokes in our validation cohort (p-values 0.004 and 0.001). At a median of 5.1 years (range 2-17 years) follow-up, Kaplan-Meier survival analysis demonstrated an rCSVD score of 2 to be a significant predictor of all-cause-mortality. CONCLUSION "rCSVD" score can be derived from routine brain MRI, has value in risk stratification of patients at risk of CSVD, and has potential in clinical trials once fully validated in a larger patient cohort.
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Affiliation(s)
- Saman Hazany
- Department of Radiology, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, USA.
| | - Kim-Lien Nguyen
- Division of Cardiology and Radiology, VA Greater Los Angeles Healthcare System and David, Geffen School of Medicine at UCLA, USA
| | - Martin Lee
- Department of Biostatistics, Fielding School of Public Health at UCLA, USA
| | - Andrew Zhang
- Department of Radiology, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, USA
| | - Parsa Mokhtar
- Department of Psychobiology, University of California Los Angeles, USA
| | - Alexander Crossley
- Department of Neurology, VA Greater Los Angeles Healthcare System and David Geffen, School of Medicine at UCLA, USA
| | - Sakshi Luthra
- College of Letters and Sciences, University of California Los Angeles, USA
| | - Pooja Butani
- Department of Neurology, VA Greater Los Angeles Healthcare System and David Geffen, School of Medicine at UCLA, USA
| | - Sunita Dergalust
- Department of Pharmacy, VA Greater Los Angeles Healthcare System, USA
| | - Benjamin Ellingson
- Department of Radiology and Psychiatry, David Geffen School of Medicine at UCLA, USA
| | - Jason D Hinman
- Department of Neurology, VA Greater Los Angeles Healthcare System and David Geffen, School of Medicine at UCLA, USA
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48
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Zyriax BC, Windler E. Lifestyle changes to prevent cardio- and cerebrovascular disease at midlife: A systematic review. Maturitas 2022; 167:60-65. [DOI: 10.1016/j.maturitas.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/04/2022] [Accepted: 09/04/2022] [Indexed: 11/26/2022]
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49
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Dang J, Ma N, Liu Y, Zhong P, Shi D, Cai S, Dong Y, Zou Z, Ma Y, Song Y, Ma J. The independent and combined effects of single-child status and ideal lifestyle on clustered cardio-metabolic risk factors among Chinese children and adolescents. Front Nutr 2022; 9:987334. [PMID: 36105575 PMCID: PMC9464906 DOI: 10.3389/fnut.2022.987334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCardio-metabolic risk factors (CMRFs) represent the accumulation of metabolic abnormalities, significantly increasing the likelihood of cardiovascular diseases. Although studies assessed the independent association of single-child status and lifestyle risk factors with components of CMRFs or clustered CMRFs, little has been known about the combined effect of single-child status and lifestyles on clustered CMRFs as well as sex differences.Materials and methodsData was collected from a cross-sectional survey conducted in September 2013 in China. A total of 13,859 children and adolescents aged 7–18 years with blood samples were included. Anthropometric measurements and serum biochemical indexes were collected to assess clustered CMRFs, while questionnaires were used to obtain single-child status, lifestyle information, and characteristics of children and their parents. Mixed effect logistic regression was applied to analyze the independent and the combined effects of single-child status and ideal lifestyle category on clustered CMRFs.ResultsThe prevalence of clustered CMRFs was 3.4%, with a higher prevalence in boys (4.0%) than girls (2.7%). Children and adolescents with clustered CMRFs had a higher proportion of single children (76.6 vs. 69.7%) and unfavorable lifestyles (62.1 vs. 29.2%) compared with their peers with non-clustered CMRFs. Both single children (OR = 1.67, 95% CI: 1.32–2.11) and unfavorable lifestyles (OR = 9.03, 95% CI: 6.26–13.02) were associated with an increased risk of clustered CMRFs. The risk of clustered CMRFs increased significantly (OR = 12.79, 95% CI: 6.67–24.52) when single children and an unfavorable lifestyle were combined, which was almost neutralized (OR = 1.33, 95% CI: 0.63–2.82) when single children adhered to a favorable lifestyle. However, no sex differences were observed in this study.ConclusionSingle children with unfavorable lifestyles were associated with an obvious risk of clustered CMRFs, which might be partially offset by expanding family size (the number of siblings) or establishing a favorable lifestyle. A birth-friendly social environment as well as a family environment with a favorable lifestyle are encouraged in China.
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Affiliation(s)
- Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Ning Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Panliang Zhong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Di Shi
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Shan Cai
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- *Correspondence: Yi Song,
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- Jun Ma,
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Choi HR, Chang Y, Kim Y, Cho Y, Kang J, Kwon MJ, Kwon R, Lim GY, Kim KH, Kim H, Hong YS, Park J, Zhao D, Cho J, Guallar E, Park HY, Ryu S. Ideal Cardiovascular Health Metrics and Risk of Incident Early-Onset Vasomotor Symptoms Among Premenopausal Women. J Clin Endocrinol Metab 2022; 107:2666-2673. [PMID: 35596684 PMCID: PMC9387697 DOI: 10.1210/clinem/dgac327] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Indexed: 12/19/2022]
Abstract
CONTEXT The relationship of ideal cardiovascular health (CVH) behaviors with preventing early-onset vasomotor symptoms (VMSs) is unknown. OBJECTIVE We investigated the association between CVH metrics and the development of early-onset VMSs in premenopausal women. METHODS This cohort study included 2541 premenopausal women aged 42 to 52 years without VMSs at baseline. CVH metrics were defined according to the American Heart Association Life Simple 7 metrics. Owing to limited availability of dietary information, CVH metrics were scored from 0 (unhealthy) to 6 (healthy) and classified into 3 groups: poor (0-2), intermediate (3-4), and ideal (5-6) CVH. VMSs, including hot flashes and night sweats, were assessed using the Menopause-Specific Quality of Life questionnaire. Moderate/severe VMSs was defined as a score of 3 or more points (range, 0 to 6; 6 being most bothersome). RESULTS During a median follow-up of 4.5 years, 1241 women developed VMSs before menopause. After adjustment for age, parity, education level, and alcohol consumption, the hazard ratio (HR) (95% CI) for developing early-onset VMSs comparing poor CVH group to the ideal group was 1.41 (1.07-1.86). CVH scores were also inversely associated with moderate/severe VMSs in a dose-response manner (P for trend = .004); specifically, multivariable-adjusted HRs comparing intermediate and poor CVH groups to the ideal group were 1.20 (95% CI, 1.02-1.43) and 1.57 (95% CI, 1.08-2.29), respectively. CONCLUSION Unfavorable CVH metrics were significantly associated with an increased risk of early-onset VMSs and its more severe forms among premenopausal women.
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Affiliation(s)
- Hye Rin Choi
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Yoosoo Chang
- Correspondence: Yoosoo Chang, MD, PhD, Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Bldg B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.
| | - Yejin Kim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Yoosun Cho
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Jeonggyu Kang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Min-Jung Kwon
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Ria Kwon
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Ga-Young Lim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Kye-Hyun Kim
- Department of Obstetrics and Gynecology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea
| | - Hoon Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Yun Soo Hong
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Jihwan Park
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Di Zhao
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Juhee Cho
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Eliseo Guallar
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Hyun-Young Park
- Department of Precision Medicine, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Republic of Korea
| | - Seungho Ryu
- Correspondence: Seungho Ryu, MD, PhD, Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Bldg B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.
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