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Taylor CN, Wang D, Larson MG, Lau ES, Benjamin EJ, D'Agostino RB, Vasan RS, Levy D, Cheng S, Ho JE. Family History of Modifiable Risk Factors and Association With Future Cardiovascular Disease. J Am Heart Assoc 2023; 12:e027881. [PMID: 36892090 PMCID: PMC10111537 DOI: 10.1161/jaha.122.027881] [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: 03/10/2023]
Abstract
Background A parental history of cardiovascular disease (CVD) confers greater risk of future CVD among offspring. Whether the presence of parental modifiable risk factors contribute to or modify CVD risk in offspring is unclear. Methods and Results We studied 6278 parent-child trios in the multigenerational longitudinal Framingham Heart Study. We assessed parental history of CVD and modifiable risk factors (smoking, hypertension, diabetes, obesity, and hyperlipidemia). Multivariable Cox models were used to evaluate the association of parental history and future CVD among offspring. Among 6278 individuals (mean age 45±11 years), 44% had at least 1 parent with history of CVD. Over a median follow-up of 15 years, 353 major CVD events occurred among offspring. Parental history of CVD conferred 1.7-fold increased hazard of future CVD (hazard ratio [HR], 1.71 [95% CI, 1.33-2.21]). Parental obesity and smoking status were associated with higher hazard of future CVD (obesity: HR, 1.32 [95% CI, 1.06-1.64]; smoking: HR, 1.34 [95% CI, 1.07-1.68], attenuated after adjusting for offspring smoking status). By contrast, parental history of hypertension, diabetes, and hypercholesterolemia were not associated with future CVD in offspring (P>0.05 for all). Furthermore, parental risk factors did not modify the association of parental CVD history on future offspring CVD risk. Conclusions Parental history of obesity and smoking were associated with a higher hazard of future CVD in offspring. By contrast, other parental modifiable risk factors did not alter offspring CVD risk. In addition to parental CVD, the presence of parental obesity should prompt a focus on disease prevention.
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Affiliation(s)
- Christy N Taylor
- Department of Medicine Massachusetts General Hospital Boston MA
- Harvard Medical School Boston MA
| | - Dongyu Wang
- Harvard Medical School Boston MA
- Division of Cardiovascular Medicine Beth Israel Deaconess Medical Center Boston MA
- Department of Biostatistics Boston University School of Public Health Boston MA
| | - Martin G Larson
- Department of Biostatistics Boston University School of Public Health Boston MA
| | - Emily S Lau
- Harvard Medical School Boston MA
- Division of Cardiology Massachusetts General Hospital Boston MA
| | - Emelia J Benjamin
- Section of Cardiovascular Medicine, Boston Medical Center Boston University School of Medicine Boston MA
- Department of Epidemiology Boston University School of Public Health Boston MA
| | | | - Ramachandran S Vasan
- Department of Epidemiology Boston University School of Public Health Boston MA
- Sections of Preventive Medicine and Cardiovascular Medicine Department of Medicine Boston University School of Medicine Boston MA
- The Framingham Heart Study Framingham MA
| | - Daniel Levy
- The Framingham Heart Study Framingham MA
- Population Sciences Branch, Division of Intramural Research National Heart, Lung, and Blood Institute, National Institutes of Health Bethesda MD
| | - Susan Cheng
- Department of Cardiology Smidt Heart Institute, Cedars-Sinai Medical Center Los Angeles CA
| | - Jennifer E Ho
- Harvard Medical School Boston MA
- Division of Cardiovascular Medicine Beth Israel Deaconess Medical Center Boston MA
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Yang R, Lv J, Yu C, Guo Y, Bian Z, Han Y, Yang L, Chen Y, Du H, Liu J, Qu C, Chen J, Chen Z, Clarke R, Huang T, Li L. Importance of healthy lifestyle factors and ideal cardiovascular health metrics for risk of heart failure in Chinese adults. Int J Epidemiol 2022; 51:567-578. [PMID: 34931664 DOI: 10.1093/ije/dyab236] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 11/07/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The relative importance of healthy lifestyle factors and cardiovascular health metrics for the risk of heart failure is uncertain in Chinese populations. We aimed to compare the strength of associations between healthy lifestyle factors and ideal cardiovascular health metrics in the risk of heart failure in middle-aged Chinese adults. METHODS A healthy lifestyle score (HLS) was constructed using smoking, drinking, physical activity, diet, body mass index and waist circumference, and compared with a more comprehensive set of metrics that included cardiovascular-disease risk biomarkers (blood pressure, blood glucose and blood lipids) in addition to the HLS. This broader set of factors [called 'ideal cardiovascular health metrics' (ICVHMs)] was evaluated in 487 197 participants in the China Kadoorie Biobank. RESULTS A total of 4208 incident cases of heart failure were recorded during a median follow-up of 10 years. Both HLS [hazard ratio (HR), 0.88; 95% confidence interval (CI), 0.85, 0.91] and ICVHMs (0.87: 0.84, 0.89) were inversely associated with risk of heart failure (P < 0.001 for linear trend). Compared with participants with 0-1 HLS, the multivariable-adjusted HR of those with 4-5 HLS was 0.68 (0.59, 0.77). Compared with participants with 0-2 ICVHMs, the adjusted HR (95% CIs) of those who had 7-8 ICVHMs was 0.47 (0.36, 0.60). ICVHMs were more strongly predictive of risk of heart failure (area under curve, 0.61 vs 0.58, P < 0.001) than healthy lifestyle factors alone. CONCLUSIONS Higher levels of healthy lifestyle factors and ICVHMs were each inversely associated with heart failure, and lifestyle factors combined with cardiometabolic factors improved the prediction of heart failure compared with healthy lifestyle factors alone.
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Affiliation(s)
- Ruotong Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Peking University Institute of Environmental Medicine, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yuting Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Jianjun Liu
- Jili Community Health Service, Liuyang, China
| | - Chan Qu
- NCDs Prevention and Control Department, Liuyang CDC, Liuyang, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Robert Clarke
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU) , Nuffield Department of Population Health, University of Oxford, UK
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Institute of Environmental Medicine, Beijing, China
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Yang R, Lv J, Yu C, Guo Y, Pei P, Huang N, Yang L, Millwood IY, Walters RG, Chen Y, Du H, Tao R, Chen J, Chen Z, Clarke R, Huang T, Li L. Modification effect of ideal cardiovascular health metrics on genetic association with incident heart failure in the China Kadoorie Biobank and the UK Biobank. BMC Med 2021; 19:259. [PMID: 34674714 PMCID: PMC8532287 DOI: 10.1186/s12916-021-02122-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 09/09/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Both genetic and cardiovascular factors contribute to the risk of developing heart failure (HF), but whether idea cardiovascular health metrics (ICVHMs) offset the genetic association with incident HF remains unclear. OBJECTIVES To investigate the genetic association with incident HF as well as the modification effect of ICVHMs on such genetic association in Chinese and British populations. METHODS An ICVHMs based on smoking, drinking, physical activity, diets, body mass index, waist circumference, blood pressure, blood glucose, and blood lipids, and a polygenic risk score (PRS) for HF were constructed in the China Kadoorie Biobank (CKB) of 96,014 participants and UK Biobank (UKB) of 335,782 participants which were free from HF and severe chronic diseases at baseline. RESULTS During the median follow-up of 11.38 and 8.73 years, 1451 and 3169 incident HF events were documented in CKB and UKB, respectively. HF risk increased monotonically with the increase of PRS per standard deviation (CKB: hazard ratio [HR], 1.19; 95% confidence interval [CI], 1.07, 1.32; UKB: 1.07; 1.03, 1.11; P for trend < 0.001). Each point increase in ICVHMs was associated with 15% and 20% lower risk of incident HF in CKB (0.85; 0.81, 0.90) and UKB (0.80; 0.77, 0.82), respectively. Compared with unfavorable ICVHMs, favorable ICVHMs was associated with a lower HF risk, with 0.71 (0.44, 1.15), 0.41 (0.22, 0.77), and 0.48 (0.30, 0.77) in the low, intermediate, and high genetic risk in CKB and 0.34 (0.26, 0.44), 0.32 (0.25, 0.41), and 0.37 (0.28, 0.47) in UKB (P for multiplicative interaction > 0.05). Participants with low genetic risk and favorable ICVHMs, as compared with high genetic risk and unfavorable ICVHMs, had 56~72% lower risk of HF (CKB 0.44; 0.28, 0.70; UKB 0.28; 0.22, 0.37). No additive interaction between PRS and ICVHMs was observed (relative excess risk due to interaction was 0.05 [-0.22, 0.33] in CKB and 0.04 [-0.14, 0.22] in UKB). CONCLUSIONS In CKB and UKB, genetic risk and ICVHMs were independently associated with the risk of incident HF, which suggested that adherence to favorable cardiovascular health status was associated with a lower HF risk among participants with all gradients of genetic risk.
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Affiliation(s)
- Ruotong Yang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking University, 38 Xueyuan Road, Beijing, 100191, China
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking University, 38 Xueyuan Road, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking University, 38 Xueyuan Road, Beijing, 100191, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing, China
| | - Ninghao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking University, 38 Xueyuan Road, Beijing, 100191, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Iona Y Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robin G Walters
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ran Tao
- Institute of Chronic Disease, Jiangsu Provincial Center for Disease Control and Prevention, Jiangsu, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robert Clarke
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China.
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, 100191, China.
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, 100191, China.
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Ahiawodzi PD, Buzkova P, Djousse L, Ix JH, Kizer JR, Mukamal KJ. Nonesterified Fatty Acids and Hospitalizations Among Older Adults: The Cardiovascular Health Study. J Gerontol A Biol Sci Med Sci 2021; 76:1326-1332. [PMID: 32914181 DOI: 10.1093/gerona/glaa228] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND We sought to determine associations between total serum concentrations of nonesterified fatty acids (NEFAs) and incident total and cause-specific hospitalizations in a community-living cohort of older adults. METHODS We included 4715 participants in the Cardiovascular Health Study who had fasting total serum NEFA measured at the 1992/1993 clinic visit and were followed for a median of 12 years. We identified all inpatient admissions requiring at least an overnight hospitalization and used primary diagnostic codes to categorize cause-specific hospitalizations. We used Cox proportional hazards regression models to determine associations with time-to-first hospitalization and Poisson regression for the rate ratios (RRs) of hospitalizations and days hospitalized. RESULTS We identified 21 339 hospitalizations during follow-up. In fully adjusted models, higher total NEFAs were significantly associated with higher risk of incident hospitalization (hazard ratio [HR] per SD [0.2 mEq/L] = 1.07, 95% confidence interval [CI] = 1.03-1.10, p < .001), number of hospitalizations (RR per SD = 1.04, 95% CI = 1.01-1.07, p = .01), and total number of days hospitalized (RR per SD = 1.06, 95% CI = 1.01-1.10, p = .01). Among hospitalization subtypes, higher NEFA was associated with higher likelihood of mental, neurologic, respiratory, and musculoskeletal causes of hospitalization. Among specific causes of hospitalization, higher NEFA was associated with diabetes, pneumonia, and gastrointestinal hemorrhage. CONCLUSIONS Higher fasting total serum NEFAs are associated with a broad array of causes of hospitalization among older adults. While some of these were expected, our results illustrate a possible utility of NEFAs as biomarkers for risk of hospitalization, and total days hospitalized, in older adults. Further research is needed to determine whether interventions based on NEFAs might be feasible.
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Affiliation(s)
- Peter D Ahiawodzi
- Department of Public Health, Campbell University College of Pharmacy and Health Sciences, Buies Creek, NC
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle
| | - Luc Djousse
- Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Joachim H Ix
- Divisions of Nephrology and Preventive Medicine, University of California, San Diego
| | - Jorge R Kizer
- Cardiology Section, San Francisco Veterans Affairs Health Care System, and Departments of Medicine, Epidemiology and Biostatistics, University of California
| | - Kenneth J Mukamal
- Division of General Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
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Abstract
PURPOSE OF REVIEW There is a growing body of evidence that nutritional factors influence the incidence of heart failure (HF). The current manuscript aims to collate evidence relating to nutritional intervention in the treatment of HF as well as to provide context regarding challenges and opportunities in the field. RECENT FINDINGS Despite the accepted importance of nutritional factors relating to cardiovascular disease severity, there is surprisingly little human intervention research regarding dietary intake and HF. Further, existing nutritional interventions in HF were mostly pilot studies with small samples and short follow-up. There is consistent evidence that nutritional factors majorly influence HF. Despite limited research, there is evidence that nutritional modification can rapidly and profoundly influence multiple aspects of HF. There is an urgent need for well-conducted research to ascertain if nutritional modification can alter the long-term course of HF.
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Barbaresko J, Rienks J, Nöthlings U. Lifestyle Indices and Cardiovascular Disease Risk: A Meta-analysis. Am J Prev Med 2018; 55:555-564. [PMID: 30241617 DOI: 10.1016/j.amepre.2018.04.046] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 03/31/2018] [Accepted: 04/27/2018] [Indexed: 11/19/2022]
Abstract
CONTEXT Several studies investigated lifestyle indices to account for interrelations between lifestyle behaviors and cardiovascular disease risk. So far, no systematic review has been conducted. Thus, the aim is to summarize the evidence of associations between lifestyle indices and cardiovascular disease risk in observational prospective studies. EVIDENCE ACQUISITION A systematic literature search was conducted in two databases in February 2018. Multivariable-adjusted risk estimates were combined using random effects models comparing the highest with the lowest healthy lifestyle score. Additionally, meta-analyses for cardiovascular disease types, such as stroke and heart failure, were conducted. Heterogeneity was assessed using I2 index. EVIDENCE SYNTHESIS The search identified 27 studies, of which 22 were included in the meta-analyses. Most lifestyle indices included physical activity, smoking, diet, alcohol consumption, and body weight. A healthy lifestyle was associated with a reduced risk of 66% for cardiovascular disease (95% CI=0.28, 0.41, I2=79.1%), 60% for stroke, and 69% for heart failure. A dose-response effect for adherence to an increasing number of healthy behaviors and cardiovascular disease risk was observed. Statistical heterogeneity was found, suggesting that the definition of the lifestyle indices and components varied substantially between the studies. CONCLUSIONS Adherence to several healthy lifestyle behaviors simultaneously was associated with a 66% reduced cardiovascular disease risk compared with adopting none or only one behavior. Despite heterogeneity of indices, consistent inverse associations across studies underscore the relevance of adopting healthy behaviors at all. More research on other lifestyle behaviors, such as sleep duration or sedentary behavior in combination, is warranted.
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Affiliation(s)
- Janett Barbaresko
- Department of Nutrition and Food Sciences, Group of Nutritional Epidemiology, University of Bonn, North Rhine-Westphalia, Bonn, Germany
| | - Johanna Rienks
- Department of Nutrition and Food Sciences, Group of Nutritional Epidemiology, University of Bonn, North Rhine-Westphalia, Bonn, Germany
| | - Ute Nöthlings
- Department of Nutrition and Food Sciences, Group of Nutritional Epidemiology, University of Bonn, North Rhine-Westphalia, Bonn, Germany.
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Dietary patterns and components to prevent and treat heart failure: a comprehensive review of human studies. Nutr Res Rev 2018; 32:1-27. [DOI: 10.1017/s0954422418000148] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AbstractGrowing evidence has emerged about the role of dietary patterns and components in heart failure (HF) incidence and severity. The objective here is to provide a comprehensive summary of the current evidence regarding dietary patterns/components and HF. A comprehensive search of online databases was conducted using multiple relevant keywords to identify relevant human studies. The Dietary Approaches to Stop Hypertension (DASH) and Mediterranean diets have consistently been associated with decreased HF incidence and severity. Regarding specific dietary components, fruit, vegetables, legumes and whole grains appear beneficial. Current evidence suggests that red/processed meats, eggs and refined carbohydrates are harmful, while fish, dairy products and poultry remain controversial. However, there is a notable lack of human intervention trials. The existing but limited observational and interventional evidence from human studies suggests that a plant-based dietary pattern high in antioxidants, micronutrients, nitrate and fibre but low in saturated/trans-fat and Na may decrease HF incidence/severity. Potential mechanisms include decreased oxidative stress, homocysteine and inflammation but higher antioxidant defence and NO bioavailability and gut microbiome modulation. Randomised, controlled trials are urgently required.
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Abstract
Evidence supporting the role of nutrition in heart failure (HF) incidence and severity is growing. A comprehensive search of online databases was conducted using relevant keywords to identify human studies including diet and HF. Several plant-based diets have consistently been associated with decreased HF incidence and severity, notably the Dietary Approaches to Stop Hypertension (DASH) and Mediterranean diets. Several other plant-based dietary patterns, including low-fat diets and the rice diet, also show promise. Higher dietary quality, as assessed using different scores, seems to provide protective qualities. Fruit, vegetables, legumes and wholegrains appear to be beneficial, whereas red/processed meats, eggs and refined carbohydrates appear harmful. Some evidence suggests detrimental effects of dairy products and poultry, but more research is needed. There is observational and interventional evidence that a plant-based diet high in antioxidants, micronutrients, nitrate and fibre but low in saturated/trans fats may decrease the incidence and severity of HF. Potential mechanisms for this include decreased oxidative stress, homocysteine and inflammation levels, as well as higher antioxidant defence and nitric oxide bioavailability with gut microbiome modulation. Well-designed randomised, controlled nutrition intervention trials specific to HF are urgently required.
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Affiliation(s)
- Conor P Kerley
- Chronic Cardiovascular Disease Management Unit and Heart Failure Unit, St Vincent's Healthcare Group/St Michael's Hospital Dublin, Ireland
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