1
|
Li X, Yang W, Miao Y, Dove A, Wang J, Du T, Fang Z, Xu W, Zhang Q. Relation of Cognitive Reserve Indicator to Heart Disease and Cardiac Structure and Function: A Large Community-Based Longitudinal Study. J Am Heart Assoc 2024:e033249. [PMID: 39190584 DOI: 10.1161/jaha.123.033249] [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: 10/26/2023] [Accepted: 05/01/2024] [Indexed: 08/29/2024]
Abstract
BACKGROUND High cognitive reserve (CR) has been related to lower dementia risk, but its association with heart disease (HD) is unknown. We aimed to explore the relation of CR to HD and cardiac structure and function. METHODS AND RESULTS Within the UK Biobank, 349 907 HD-free participants were followed up. A composite CR indicator involving education/occupation attainment/television viewing time/confiding frequency/social connection frequency/variety of leisure activities was generated, and further categorized into low/moderate/high levels. Incident HD, including coronary HD, cardiac arrhythmia, and heart failure, was ascertained on the basis of medical records. During the follow-up, a subsample (n=31 182) underwent cardiac magnetic resonance imaging to assess ventricular structure and function. Data were analyzed using Cox regression, Laplace regression, and linear regression. Compared with low CR, the hazard ratio and 95% CI of any HD for high CR was 0.78 (0.75-0.80) (including 0.68 [0.66-0.71] for coronary HD, 0.91 [0.87-0.95] for cardiac arrhythmia, and 0.63 [0.58-0.68] for heart failure). Furthermore, high CR was associated with delayed HD onset by 1.59 (95% CI, 1.37-1.82) years compared with low CR. In cardiac magnetic resonance imaging data analysis, compared with low CR, high CR was associated with larger left ventricular end-diastolic volume (β, 0.13 [95% CI, 0.09-0.17]), left ventricular end-systolic volume (β, 0.05 [95% CI, 0.01-0.10]), left ventricular stroke volume (β, 0.16 [95% CI, 0.12-0.21]), and left ventricular ejection fraction (β, 0.08 [95% CI, 0.03-0.13]). CONCLUSIONS High CR is associated with favorable HD health. Our findings suggest that the beneficial effect of CR is not limited to dementia but also HD.
Collapse
Affiliation(s)
- Xuerui Li
- Department of Geriatrics, Tianjin Medical University General Hospital Tianjin Geriatrics Institute Tianjin China
| | - Wenzhe Yang
- School of Public Health Tianjin Medical University Tianjin China
- Tianjin Key Laboratory of Environment Nutrition and Public Health Tianjin China
| | - Yuyang Miao
- Department of Geriatrics, Tianjin Medical University General Hospital Tianjin Geriatrics Institute Tianjin China
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society Karolinska Institutet Stockholm Sweden
| | - Jiao Wang
- Department of Epidemiology, College of Preventive Medicine Third Military Medical University Chongqing China
| | - Tingting Du
- Department of Geriatrics, Tianjin Medical University General Hospital Tianjin Geriatrics Institute Tianjin China
| | - Zhongze Fang
- Tianjin Key Laboratory of Environment Nutrition and Public Health Tianjin China
- Department of Toxicology and Sanitary Chemistry, School of Public Health Tianjin Medical University Tianjin China
| | - Weili Xu
- Department of Geriatrics, Tianjin Medical University General Hospital Tianjin Geriatrics Institute Tianjin China
- Aging Research Center, Department of Neurobiology, Care Sciences and Society Karolinska Institutet Stockholm Sweden
| | - Qiang Zhang
- Department of Geriatrics, Tianjin Medical University General Hospital Tianjin Geriatrics Institute Tianjin China
| |
Collapse
|
2
|
Lorbeer R, Rospleszcz S, Schlett CL, Rado SD, Thorand B, Meisinger C, Rathmann W, Heier M, Vasan RS, Bamberg F, Peters A, Lieb W. Association of antecedent cardiovascular risk factor levels and trajectories with cardiovascular magnetic resonance-derived cardiac function and structure. J Cardiovasc Magn Reson 2021; 23:2. [PMID: 33390171 PMCID: PMC7780638 DOI: 10.1186/s12968-020-00698-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 12/09/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The association of longitudinal trajectories of cardiovascular risk factors with cardiovascular magnetic resonance (CMR)-measures of cardiac structure and function in the community is not well known. Therefore we aimed to relate risk factor levels from different examination cycles to CMR-measures of the left ventricle (LV) and right ventricle in a population-based cohort. METHODS We assessed conventional cardiovascular disease risk factors in 349 participants (143 women; aged 25-59 years) at three examination cycles (Exam 1 [baseline], at Exam 2 [7-years follow-up] and at Exam 3 [14-years follow-up]) of the KORA S4 cohort and related single-point measurements of individual risk factors and longitudinal trajectories of these risk factors to various CMR-measures obtained at Exam 3. RESULTS High levels of diastolic blood pressure, waist circumference, and LDL-cholesterol at the individual exams were associated with worse cardiac function and structure. Trajectory clusters representing higher levels of the individual risk factors were associated with worse cardiac function and structure compared to low risk trajectory clusters of individual risk factors. Multivariable (combining different risk factors) trajectory clusters were associated with different cardiac parameters in a graded fashion (e.g. decrease of LV stroke volume for middle risk cluster β = - 4.91 ml/m2, 95% CI - 7.89; - 1.94, p < 0.01 and high risk cluster β = - 7.00 ml/m2, 95% CI - 10.73; - 3.28, p < 0.001 compared to the low risk cluster). The multivariable longitudinal trajectory clusters added significantly to explain variation in CMR traits beyond the multivariable risk profile obtained at Exam 3. CONCLUSIONS Cardiovascular disease risk factor levels, measured over a time period of 14 years, were associated with CMR-derived measures of cardiac structure and function. Longitudinal multivariable trajectory clusters explained a greater proportion of the inter-individual variation in cardiac traits than multiple risk factor assessed contemporaneous with the CMR exam.
Collapse
Affiliation(s)
- Roberto Lorbeer
- Department of Radiology, University Hospital, LMU Munich, Pettenkoferstr. 8a, 80336, Munich, Germany.
- German Center for Cardiovascular Disease Research (DZHK E.V.), Munich, Germany.
| | - Susanne Rospleszcz
- German Center for Cardiovascular Disease Research (DZHK E.V.), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Institute of Medical Information Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center, University Freiburg, Freiburg, Germany
| | - Sophia D Rado
- Department of Diagnostic and Interventional Radiology, Eberhard Karl University Tübingen, Tübingen, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany
| | - Christa Meisinger
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, LMU Munich, UNIKA-T Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Düsseldorf, Germany
- Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany
| | - Margit Heier
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- KORA Study Centre, University Hospital of Augsburg, Augsburg, Germany
| | - Ramachandran S Vasan
- Preventive Medicine and Epidemiology Section, Boston University School of Medicine and Framingham Heart Study, Framingham, MA, USA
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center, University Freiburg, Freiburg, Germany
| | - Annette Peters
- German Center for Cardiovascular Disease Research (DZHK E.V.), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Institute of Medical Information Processing, Biometrics and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Munich, Germany
- German Center for Diabetes Research (DZD E.V.), Neuherberg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| |
Collapse
|