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Yang C, Cheng W, Plum PS, Lordick F, Köppe J, Gockel I, Thieme R. Life's essential 8 and specific cancer risk and mortality in men and women: a population-based cohort analysis of 332,417 United Kingdom participants. BMC Cancer 2025; 25:632. [PMID: 40200269 PMCID: PMC11980174 DOI: 10.1186/s12885-025-14048-5] [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: 10/02/2024] [Accepted: 03/31/2025] [Indexed: 04/10/2025] Open
Abstract
BACKGROUND This study aimed to explore the association between Life's Essential 8 (LE8) and the risk of cancer occurrence and cancer-associated mortality across 24 cancer types. The cardiovascular health (CVH) score is constructed based on the overall LE8 score, providing a more direct measure of CVH and its potential relationship with cancer risk. METHODS This cohort enrolled participants from a prospective cohort of the United Kingdom Biobank, including individuals aged 37-73 years, with 332,417 cancer-free participants. CVH scores were assessed using the LE8 metrics. The primary outcome of this study was the risk of cancer events, and the secondary outcome was cancer mortality. Competitive models were used to examine the associations between each 10-point increment in the CVH score and the outcomes, with stratified analyses conducted for both men and women to assess sex differences. RESULTS The mean CVH score was 64.4(55.6,72.5) in men and 70.0 (61.2,78.1) in women (P < 0.001). During a mean follow-up time of 12.0 years, 12.32% (95% confidence interval [CI]: 12.21-12.43%) of participants developed cancer, and 2.13% (95% CI: 2.08-2.18%) died from cancer. A 10-point rise in CVH score was negatively associated with overall cancer occurrence in men (hazard ratio [HR]: 0.97, 95% CI: 0.96-0.98) and women (HR: 0.96, 95% CI: 0.95-0.97), along with reduced cancer mortality risk in both sexes. Moreover, sex differences were observed in the impact of a 10-point CVH increase on esophageal, gastric, colorectal, and liver cancers. CONCLUSIONS Lower CVH scores were associated with an increased overall cancer risk and higher cancer-related mortality, highlighting the need for cancer screening in patients with low CVH scores.
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Affiliation(s)
- Chuang Yang
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany
| | - Wenke Cheng
- Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Patrick S Plum
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany
| | - Florian Lordick
- Department of Oncology, Gastroenterology, Hepatology and Pulmonology, University Hospital Leipzig, Leipzig, Germany
| | - Jeanette Köppe
- Institute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany
| | - René Thieme
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany.
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Martin SS, Aday AW, Allen NB, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Bansal N, Beaton AZ, Commodore-Mensah Y, Currie ME, Elkind MSV, Fan W, Generoso G, Gibbs BB, Heard DG, Hiremath S, Johansen MC, Kazi DS, Ko D, Leppert MH, Magnani JW, Michos ED, Mussolino ME, Parikh NI, Perman SM, Rezk-Hanna M, Roth GA, Shah NS, Springer MV, St-Onge MP, Thacker EL, Urbut SM, Van Spall HGC, Voeks JH, Whelton SP, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2025; 151:e41-e660. [PMID: 39866113 DOI: 10.1161/cir.0000000000001303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Guo JW, Ning H, Lloyd‐Jones DM. Cardiovascular Health Status in US Adults With Chronic Diseases: National Health and Nutrition Examination Survey (NHANES), 2013-2018. J Am Heart Assoc 2025; 14:e034388. [PMID: 39719405 PMCID: PMC12054493 DOI: 10.1161/jaha.124.034388] [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: 01/14/2024] [Accepted: 09/16/2024] [Indexed: 12/26/2024]
Abstract
BACKGROUND Cardiovascular health (CVH) assessment may have important benefits for adults with chronic diseases to prevent incident cardiovascular disease and additional chronic conditions. Few studies have compared CVH in adults with chronic diseases and healthy adults without chronic disease using the American Heart Association's (AHA's) Life's Essential 8 (LE8) metrics. METHODS AND RESULTS We used National Health and Nutrition Examination Survey data from 2013 to 2018 to identify the presence of 16 chronic diseases by participant self-report of diagnosis. We included adults aged 20 to 79 years. CVH was defined by AHA's LE8 metrics. Overall mean LE8 (range 0-100, higher = better CVH) and individual LE8 metric scores were calculated according to disease status for all participants and stratified by self-identified sex, race, and ethnicity. There were 12 296 adults (51% women; mean age, 46 years) representing >186 million noninstitutionalized US adults. Significantly, and often substantially, lower CVH scores were noted for adults with chronic disease (14 of 16 diseases studied) versus unaffected adults, including all subtypes of cardiovascular disease, lung diseases, chronic kidney disease, liver conditions, cancer, arthritis, cognitive decline, and depression. For example, mean overall LE8 score was 14.0 points lower in those with versus without chronic obstructive pulmonary disease (51.0 versus 65.0, P<0.0001). Men and Black adults consistently had lower LE8 scores. CONCLUSIONS CVH is significantly poorer in adults with many chronic diseases compared with unaffected adults. These data suggest the utility of the LE8 score to identify groups for targeted optimization of CVH to enhance primary and secondary prevention efforts for cardiovascular disease and potentially for concomitant chronic diseases of aging.
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Affiliation(s)
- James W. Guo
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoILUSA
| | - Hongyan Ning
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoILUSA
| | - Donald M. Lloyd‐Jones
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoILUSA
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Park SW, Wong M, Kiefe CI, Gordon-Larsen P, Kershaw KN. Associations of Neighborhood Food and Physical Activity Environments in Young Adulthood With Cardiovascular Health in Midlife: The CARDIA Study. J Am Heart Assoc 2024; 13:e036035. [PMID: 39547998 DOI: 10.1161/jaha.124.036035] [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: 04/18/2024] [Accepted: 09/30/2024] [Indexed: 11/17/2024]
Abstract
BACKGROUND Adults who maintain ideal cardiovascular health (CVH) profiles up to midlife have lower risk of several chronic diseases and better quality of life. Some evidence suggests that individual-level exposures earlier in life shape midlife CVH, but the impact of neighborhood-level exposures over the life course remains understudied. METHODS AND RESULTS Participants were 3017 Black and White men and women aged 18 to 30 years at baseline (1985-1986), recruited from Birmingham, Alabama; Minneapolis, Minnesota; Chicago, Illinois; and Oakland, California, as part of the CARDIA (Coronary Artery Risk Development in Young Adults) study. Measures of the neighborhood food and physical activity environment were linked to participant addresses collected at baseline. CVH was measured on the basis of the American Heart Association's Life's Simple 7 criteria in young adulthood and 30 years later (2015-2016) when participants were midlife (aged 48-60 years). Associations of young adult neighborhood food environment and physical activity resources with midlife CVH (moderate versus high and low versus high) were examined using multinomial logistic regression. Models were adjusted for young adult sociodemographic factors. Participants who lived farther away from a major park in young adulthood were more likely to have low versus high CVH scores (odds ratio, 1.54 [95% CI, 1.22-1.96]) and more likely to have moderate versus high CVH scores (odds ratio, 1.39 [95% CI, 1.12-1.73]) in midlife. No other neighborhood measures were significantly associated with CVH. CONCLUSIONS Young adulthood may be a sensitive period in which having convenient access to physical activity-promoting resources may help them establish healthy habits that can carry into midlife.
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Affiliation(s)
- Seong W Park
- Department of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL USA
| | - Mandy Wong
- Department of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL USA
| | - Catarina I Kiefe
- Department of Population and Quantitative Health Services University of Massachusetts Chan Medical School Worcester MA USA
| | - Penny Gordon-Larsen
- Department of Nutrition University of North Carolina Gillings School of Global Public Health Chapel Hill NC USA
| | - Kiarri N Kershaw
- Department of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL USA
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Allan LP, Silvera-Tawil D, Cameron J, Li J, Varnfield M, Smallbon V, Bomke J, Olaiya MT, Lannin NA, Cadilhac DA. Novel Multicomponent Digital Care Assistant and Support Program for People After Stroke or Transient Ischaemic Attack: A Pilot Feasibility Study. SENSORS (BASEL, SWITZERLAND) 2024; 24:7253. [PMID: 39599030 PMCID: PMC11598503 DOI: 10.3390/s24227253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Revised: 11/08/2024] [Accepted: 11/11/2024] [Indexed: 11/29/2024]
Abstract
Evidence is increasing for digital health programs targeting the secondary prevention of stroke. We aimed to determine the feasibility of the novel Care Assistant and support Program for people after Stroke (CAPS) or transient ischaemic attack (TIA) by combining person-centred goal setting and risk-factor monitoring through a web-based clinician portal, SMS messages, a mobile application (app), and a wearable device. We conducted a 12-week mixed-methods, open-label feasibility study. Participants (6 months-3 years after stroke or TIA, access to the internet via a smartphone/tablet) were recruited via the Australian Stroke Clinical Registry. Participants set one or two secondary prevention goals with a researcher and provided access and training in technology use. Feasibility outcomes included recruitment, retention, usability, acceptability, and satisfaction. Secondary outcomes included goal attainment, health outcomes, and program costs. Following 600 invitations, 58 responded, 34/36 (94%) eligible participants commenced the program (one withdrawal; 97% retention), and 10 were interviewed. Participants (27% female, 33% TIA) generally rated the usability of the mobile application as 'Good' to 'Excellent' (System Usability Scale). Most (94%) agreed the program helped with engagement in health self-monitoring. Overall, 52 goals were set, predominantly regarding exercise (21/52), which were the most frequently achieved (9/21). At 12 weeks, participants reported significant improvements (p < 0.05) in self-efficacy (Cohen's d = 0.40), cardiovascular health (d = 0.71), and the mental health domain of the PROMIS GH (d = 0.63). CAPS was acceptable, with good retention and engagement of participants. Evaluation of this program in a randomised controlled trial is warranted.
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Affiliation(s)
- Liam P. Allan
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Victorian Heart Institute, Monash University, Clayton, VIC 3168, Australia; (L.P.A.); (J.C.); (M.T.O.)
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Organisation (CSIRO), Herston, QLD 4006, Australia; (D.S.-T.); (J.L.); (M.V.); (V.S.); (J.B.)
| | - David Silvera-Tawil
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Organisation (CSIRO), Herston, QLD 4006, Australia; (D.S.-T.); (J.L.); (M.V.); (V.S.); (J.B.)
| | - Jan Cameron
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Victorian Heart Institute, Monash University, Clayton, VIC 3168, Australia; (L.P.A.); (J.C.); (M.T.O.)
- Australian Centre for Heart Health, Royal Melbourne Hospital, Parkville, VIC 3052, Australia
| | - Jane Li
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Organisation (CSIRO), Herston, QLD 4006, Australia; (D.S.-T.); (J.L.); (M.V.); (V.S.); (J.B.)
| | - Marlien Varnfield
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Organisation (CSIRO), Herston, QLD 4006, Australia; (D.S.-T.); (J.L.); (M.V.); (V.S.); (J.B.)
| | - Vanessa Smallbon
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Organisation (CSIRO), Herston, QLD 4006, Australia; (D.S.-T.); (J.L.); (M.V.); (V.S.); (J.B.)
| | - Julia Bomke
- Australian e-Health Research Centre, Commonwealth Scientific and Industrial Organisation (CSIRO), Herston, QLD 4006, Australia; (D.S.-T.); (J.L.); (M.V.); (V.S.); (J.B.)
| | - Muideen T. Olaiya
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Victorian Heart Institute, Monash University, Clayton, VIC 3168, Australia; (L.P.A.); (J.C.); (M.T.O.)
| | - Natasha A. Lannin
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia;
- Alfred Health, Melbourne, VIC 3004, Australia
| | - Dominique A. Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Victorian Heart Institute, Monash University, Clayton, VIC 3168, Australia; (L.P.A.); (J.C.); (M.T.O.)
- Stroke Theme, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC 3010, Australia
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Peng Y, Wang P, Du H, Liu F, Wang X, Si C, Gong J, Zhou H, Chen K, Song F. Cardiovascular health, polygenic risk score, and cancer risk: a prospective cohort study. Am J Clin Nutr 2024; 120:785-793. [PMID: 39134210 DOI: 10.1016/j.ajcnut.2024.07.033] [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: 12/04/2023] [Revised: 05/18/2024] [Accepted: 07/30/2024] [Indexed: 09/02/2024] Open
Abstract
BACKGROUND Cancer and cardiovascular disease share common lifestyle risk factors. However, it remains unclear whether cardiovascular health (CVH) evaluated by Life's Essential 8 can predict cancer risk, and attenuate the influence of genetic susceptibility on cancer. OBJECTIVES We aimed to evaluate independent and joint associations of CVH and polygenic risk score (PRS) with risks of overall and site-specific cancers. METHODS We undertook a population-based cohort study based on the UK Biobank. The CVH score was constructed by physical activity, body mass index, nicotine exposure, sleep, diet, blood pressure, lipid profile, and blood glucose. PRSs were assessed individually for 18 cancer types by their independent single-nucleotide polymorphisms previously identified in genome-wide association studies. Multivariable Cox proportional-hazards models were applied to explore the independent and joint associations of CVH and PRS with cancer incidence risk. The results were displayed as hazard ratio (HR) and 95% confidence interval (CI). RESULTS Compared with low CVH, high CVH was associated with decreased risks of overall cancer and the majority of common cancers, including digestive system [HRs (95% CI): 0.33 (0.23, 0.45)-0.66 (0.58, 0.75)], lung (HR: 0.25; 95% CI: 0.21, 0.31), renal (HR: 0.42; 95% CI: 0.32, 0.56), bladder (HR: 0.55; 95% CI: 0.44, 0.69), breast (HR: 0.83; 95% CI: 0.74, 0.92), and endometrial cancers (HR: 0.39; 95% CI: 0.30, 0.51). For overall cancer in males, there was an interaction between CVH and PRS. Notably, individuals with high CVH across all levels of PRS had lower risks of overall cancer for females and 8 site-specific cancers than those with low CVH and high PRS [HRs (95% CIs): 0.18 (0.12, 0.25)-0.79 (0.71, 0.87)]. CONCLUSIONS High CVH was related to decreased risks of overall cancer and multiple cancers regardless of genetic predispositions. Our findings underscored the value of improving CVH for cancer prevention in the general population.
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Affiliation(s)
- Yu Peng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Han Du
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Fubin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xixuan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Changyu Si
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Jianxiao Gong
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Huijun Zhou
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
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Lin L, Hu Y, Lei F, Huang X, Zhang X, Sun T, Liu W, Li R, Zhang XJ, Cai J, She ZG, Wang G, Li H. Cardiovascular health and cancer mortality: evidence from US NHANES and UK Biobank cohort studies. BMC Med 2024; 22:368. [PMID: 39237921 PMCID: PMC11378420 DOI: 10.1186/s12916-024-03553-2] [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: 01/09/2024] [Accepted: 08/05/2024] [Indexed: 09/07/2024] Open
Abstract
BACKGROUND The American Heart Association recently introduced a novel cardiovascular health (CVH) metric, Life's Essential 8 (LE8), for health promotion. However, the relationship between LE8 and cancer mortality risk remains uncertain. METHODS We investigated 17,076 participants from US National Health and Nutrition Examination Survey (US NHANES) and 272,727 participants from UK Biobank, all free of cancer at baseline. The CVH score, based on LE8 metrics, incorporates four health behaviors (diet, physical activity, smoking, and sleep) and four health factors (body mass index, lipid, blood glucose, and blood pressure). Self-reported questionnaires assessed health behaviors. Primary outcomes were mortality rates for total cancer and its subtypes. The association between CVH score (continuous and categorical variable) and outcomes was examined using Cox model with adjustments. Cancer subtypes-related polygenic risk score (PRS) was constructed to evaluate its interactions with CVH on cancer death risk. RESULTS Over 141,526 person-years in US NHANES, 424 cancer-related deaths occurred, and in UK Biobank, 8,872 cancer deaths were documented during 3,690,893 person-years. High CVH was associated with reduced overall cancer mortality compared to low CVH (HR 0.58, 95% CI 0.37-0.91 in US NHANES; 0.51, 0.46-0.57 in UK Biobank). Each one-standard deviation increase in CVH score was linked to a 19% decrease in cancer mortality (HR: 0.81; 95% CI: 0.73-0.91) in US NHANES and a 19% decrease (HR: 0.81; 95% CI: 0.79-0.83) in UK Biobank. Adhering to ideal CVH was linearly associated with decreased risks of death from lung, bladder, liver, kidney, esophageal, breast, colorectal, pancreatic, and gastric cancers in UK Biobank. Furthermore, integrating genetic data revealed individuals with low PRS and high CVH exhibited the lowest mortality from eight cancers (HRs ranged from 0.36 to 0.57) compared to those with high PRS and low CVH. No significant modification of the association between CVH and mortality risk for eight cancers by genetic predisposition was observed. Subgroup analyses showed a more pronounced protective association for overall cancer mortality among younger participants and those with lower socio-economic status. CONCLUSIONS Maintaining optimal CVH is associated with a substantial reduction in the risk of overall cancer mortality. Adherence to ideal CVH correlates linearly with decreased mortality risk across multiple cancer subtypes. Individuals with both ideal CVH and high genetic predisposition demonstrated significant health benefits. These findings support adopting ideal CVH as an intervention strategy to mitigate cancer mortality risk and promote healthy aging.
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Affiliation(s)
- Lijin Lin
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Yulian Hu
- Department of Neonatology, Huanggang Central Hospital of Yangtze University, Huanggang, China
- Huanggang Institute of Translational Medicine, Huanggang, Hubei Province, China
| | - Fang Lei
- Institute of Model Animal, Wuhan University, Wuhan, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xuewei Huang
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xingyuan Zhang
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Tao Sun
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Weifang Liu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Ru Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Xiao-Jing Zhang
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Jingjing Cai
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhi-Gang She
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
- Institute of Model Animal, Wuhan University, Wuhan, China.
| | - Guoping Wang
- Huanggang Institute of Translational Medicine, Huanggang, Hubei Province, China.
- Department of Integrated TCM & Western Medicine, Huanggang Central Hospital of Yangtze University, Huanggang, 438000, China.
| | - Hongliang Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
- Institute of Model Animal, Wuhan University, Wuhan, China.
- Huanggang Institute of Translational Medicine, Huanggang, Hubei Province, China.
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China.
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Wilcox NS, Amit U, Reibel JB, Berlin E, Howell K, Ky B. Cardiovascular disease and cancer: shared risk factors and mechanisms. Nat Rev Cardiol 2024; 21:617-631. [PMID: 38600368 PMCID: PMC11324377 DOI: 10.1038/s41569-024-01017-x] [Citation(s) in RCA: 70] [Impact Index Per Article: 70.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/20/2024] [Indexed: 04/12/2024]
Abstract
Cardiovascular disease (CVD) and cancer are among the leading causes of morbidity and mortality globally, and these conditions are increasingly recognized to be fundamentally interconnected. In this Review, we present the current epidemiological data for each of the modifiable risk factors shared by the two diseases, including hypertension, hyperlipidaemia, diabetes mellitus, obesity, smoking, diet, physical activity and the social determinants of health. We then review the epidemiological data demonstrating the increased risk of CVD in patients with cancer, as well as the increased risk of cancer in patients with CVD. We also discuss the shared mechanisms implicated in the development of these conditions, highlighting their inherent bidirectional relationship. We conclude with a perspective on future research directions for the field of cardio-oncology to advance the care of patients with CVD and cancer.
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Affiliation(s)
- Nicholas S Wilcox
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Uri Amit
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jacob B Reibel
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Hematology Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eva Berlin
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kendyl Howell
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bonnie Ky
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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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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Mohammedi K, Hess S, McQueen M, Pigeyre M, Lee SF, Pare G, Gerstein HC. Determinants of serious health outcome-free status in middle-aged and older people with dysglycaemia: Exploratory analysis of the ORIGIN trial. Diabetes Obes Metab 2024; 26:3272-3280. [PMID: 38747213 DOI: 10.1111/dom.15654] [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: 03/01/2024] [Revised: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 07/10/2024]
Abstract
AIM To assess clinical and biochemical measurements that can identify people with dysglycaemia (i.e. diabetes or pre-diabetes) who remain free of serious outcomes during follow-up. MATERIALS AND METHODS We conducted exploratory analyses using data from the Outcomes Reduction with an Initial Glargine Intervention (ORIGIN) study to identify independent determinants of outcome-free status in 12 537 middle-aged and older adults with prediabetes and early type 2 diabetes from 40 countries. Serious outcome-free status was defined as the absence of major cardiovascular outcomes, kidney or retinal outcomes, peripheral artery disease, dementia, cancer, any hospitalization, or death during follow-up. RESULTS In total, 3328 (26.6%) participants remained free of serious outcomes during a median follow-up of 6.2 years (IQR 5.8, 6.7). Independent clinical determinants of outcome-free status included younger age, female sex, non-White ethnicity, shorter diabetes duration, absence of previous cardiovascular disease, current or former smokers, higher grip strength, Mini-Mental State Examination score, and ankle-brachial index, lower body mass index and kidney disease index, and non-use of renin-angiotensin system drugs and beta-blockers. In a subset of 8401 people with baseline measurements of 238 biomarkers, growth differentiation factor 15, kidney injury molecule-1, N-terminal pro-brain natriuretic peptide, uromodulin, C-reactive protein, factor VII and ferritin were independent determinants. The combination of clinical determinants and biomarkers best identified participants who remained outcome-free (C-statistics 0.71, 95% confidence interval 0.70-0.73; net reclassification improvement 0.55, 95% confidence interval 0.48-0.58). CONCLUSIONS A set of routinely measured clinical characteristics and seven protein biomarkers identify middle-aged and older people with prediabetes or early type 2 diabetes as least likely to experience serious outcomes during follow-up.
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Affiliation(s)
- Kamel Mohammedi
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
- Université de Bordeaux, INSERM, BMC, U1034, Avenue de Magellan, Pessac, France
| | - Sibylle Hess
- Sanofi, Global Medical Diabetes, Frankfurt, Germany
| | - Matthew McQueen
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Marie Pigeyre
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Shun Fu Lee
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Guillaume Pare
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
| | - Hertzel C Gerstein
- Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Canada
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Prugger C, Perier MC, Sabia S, Fayosse A, van Sloten T, Jouven X, Pentti J, Kivimäki M, Empana JP. Association between changes in cardiovascular health and the risk of multimorbidity: community-based cohort studies in the UK and Finland. THE LANCET REGIONAL HEALTH. EUROPE 2024; 42:100922. [PMID: 38764806 PMCID: PMC11098950 DOI: 10.1016/j.lanepe.2024.100922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 03/29/2024] [Accepted: 04/16/2024] [Indexed: 05/21/2024]
Abstract
Background Better cardiovascular health is associated with lower risk of various chronic diseases, but its association with multimorbidity is poorly understood. We aimed to examine whether change in cardiovascular health is associated with multimorbidity risk. Methods The primary analysis was conducted in the Whitehall II multiwave prospective cohort study (UK) and the validation analysis in the Finnish Public Sector cohort study (Finland). Change in cardiovascular health was assessed using the American Heart Association Life's Simple 7 (LS7) and Life's Essential 8 (LE8) at baseline and re-assessments, using objective measures in Whitehall II and self-reports and pharmacy claims in the Finnish Public Sector cohort study, respectively. Multimorbidity was defined as the presence of two or more of 12 chronic diseases during follow-up. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox's proportional hazard models with age as time scale, adjusting for sex, education, occupation, marital status, and ethnicity. Findings In the primary analysis among 9715 participants, mean age was 44.8 (standard deviation 6.0) years and 67.6% participants were men at baseline. During the median follow-up of 31.4 (interquartile range 26.8-32.3) years, 2751 participants developed multimorbidity. The hazard of multimorbidity decreased by 8% (HR 0.92, 95% CI 0.88-0.96) per ideal LS7 metric increment over 5 years and by 14% (HR 0.86, 95% CI 0.80-0.93) per ten points increase in LE8 score over 10 years. These findings were replicated in the validation analysis among 75,377 participants in terms of 4-year change in cardiovascular health. Interpretation Improvement in cardiovascular health was associated with lower multimorbidity risk in two community-based cohort studies. Interventions improving cardiovascular health of the community may contribute to multimorbidity prevention. Funding None.
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Affiliation(s)
- Christof Prugger
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Public Health, Seestraße 73, 13347, Berlin, Germany
| | - Marie-Cécile Perier
- Université Paris Cité, Paris, INSERM U970, Paris Cardiovascular Research Centre (PARCC), 56 rue Leblanc, 75015, Paris, France
| | - Séverine Sabia
- Université Paris Cité, INSERM U1153, Epidemiology of Aging and Neurodegenerative Diseases, 10 avenue de Verdun, 75010, Paris, France
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Pl, London, Wc1E 7Hb, United Kingdom
| | - Aurore Fayosse
- Université Paris Cité, INSERM U1153, Epidemiology of Aging and Neurodegenerative Diseases, 10 avenue de Verdun, 75010, Paris, France
| | - Thomas van Sloten
- Department of Vascular Medicine, University Medical Centre Utrecht, Lundlaan 4, 3584 EA, Utrecht, the Netherlands
| | - Xavier Jouven
- Université Paris Cité, Paris, INSERM U970, Paris Cardiovascular Research Centre (PARCC), 56 rue Leblanc, 75015, Paris, France
| | - Jaana Pentti
- Clinicum, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland
- Department of Public Health, University of Turku, Kiinamyllynkatu 8-10, 20520, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Kiinamyllynkatu 8-10, 20520, Turku, Finland
- Finnish Institute of Occupational Health, Topeliuksenkatu 41 b, 00250, Helsinki, Finland
| | - Mika Kivimäki
- UCL Brain Sciences, University College London, 17 Queen Square, WC1N 3AR, London, United Kingdom
- Clinicum, Faculty of Medicine, University of Helsinki, Tukholmankatu 8, 00290, Helsinki, Finland
| | - Jean-Philippe Empana
- Université Paris Cité, Paris, INSERM U970, Paris Cardiovascular Research Centre (PARCC), 56 rue Leblanc, 75015, Paris, France
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12
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Fan C, Zhu W, He Y, Da M. The association between Life's Essential 8 and all-cause, cancer and non-cancer mortality in US Cancer Survivors: A retrospective cohort study of NHANES. Prev Med 2024; 179:107853. [PMID: 38211801 DOI: 10.1016/j.ypmed.2024.107853] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/06/2024] [Accepted: 01/08/2024] [Indexed: 01/13/2024]
Abstract
OBJECTIVE To investigate Life's Essential 8 (LE8), a measure of cardiovascular health (CVH), associations with mortality outcomes in cancer survivors. METHODS A prospective cohort study included 1818 cancer survivors aged ≥20 years (weighted population: 13,204,583) from National Health and Nutrition Examination Survey (NHANES) 2005-2018. Linked to mortality data through 2019, LE8 data were gathered through self-reports and lab tests. An LE8 score of 80-100 is considered high CVH, 60-79 is moderate CVH, and 0-59 is low CVH. Multivariable Cox proportional hazards regression models were employed to evaluate the associations between LE8 and all-cause, cancer-specific and non-cancer mortality. Subsequently, subgroup analyses were conducted to assess the relationship between LE8 and mortality rates across various subgroups. RESULTS At baseline, there were 1818 cancer survivors. In a 15-year follow-up, 2548 deaths occurred: 601 from cancer, 647 from heart disease, and 1300 from other causes. Multivariable models showed high CVH associated with lower hazard ratios for all-cause, cancer-specific and non-cancer mortality vs. low CVH. Cumulative mortality rates increased during follow-up, more so in the low CVH group. Subgroup analysis revealed significant LE8 interactions with age or Poverty Income Ratio (PIR) for all-cause mortality. Additionally, significant interactions between LE8 and PIR were identified for cancer-specific and non-cancer mortality risks (P for interaction <0.05). CONCLUSION Among U.S. cancer survivors, higher CVH is independently linked to lower all-cause, cancer-specific, and non-cancer mortality risks. The new CVH definition shows promise as a primary prevention strategy to reduce mortality rates in U.S. cancer survivors.
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Affiliation(s)
- Chuanlei Fan
- The First Clinical Medical College, Lanzhou University, Lanzhou, China.
| | - Weixiong Zhu
- The Second Clinical Medical College, Lanzhou University, Lanzhou, China.
| | - Yang He
- The First Clinical Medical College, Gansu University of Traditional Chinese Medicine, Lanzhou, China.
| | - Mingxu Da
- The First Clinical Medical College, Lanzhou University, Lanzhou, China; Department of Surgical Oncology, Gansu Provincial Hospital, Lanzhou, China.
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Kadowaki H, Akazawa H, Shindo A, Ueda T, Ishida J, Komuro I. Shared and Reciprocal Mechanisms Between Heart Failure and Cancer - An Emerging Concept of Heart-Cancer Axis. Circ J 2024; 88:182-188. [PMID: 38092383 DOI: 10.1253/circj.cj-23-0838] [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] [Indexed: 01/26/2024]
Abstract
Epidemiological evidence of increased risks of cancer in heart failure (HF) patients and HF in cancer patients has suggested close relationships between the pathogenesis of both diseases. Indeed, HF and cancer share common risk factors, including aging and unhealthy lifestyles, and underlying mechanisms, including activation of the sympathetic nervous system and renin-angiotensin-aldosterone system, chronic inflammation, and clonal hematopoiesis of indeterminate potential. Mechanistically, HF accelerates cancer development and progression via secreted factors, so-called cardiokines, and epigenetic remodeling of bone marrow cells into an immunosuppressive phenotype. Reciprocally, cancer promotes HF via cachexia-related wasting and metabolic remodeling in the heart, and possibly via cancer-derived extracellular vesicles influencing myocardial structure and function. The novel concept of the "heart-cancer axis" will help in our understanding of the shared and reciprocal relationships between HF and cancer, and provide innovative diagnostic and therapeutic approaches for both diseases.
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Affiliation(s)
- Hiroshi Kadowaki
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Hiroshi Akazawa
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Akito Shindo
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Tomomi Ueda
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Junichi Ishida
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo
| | - Issei Komuro
- Department of Frontier Cardiovascular Science, Graduate School of Medicine, The University of Tokyo
- International University of Health and Welfare
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