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Varleta P, Acevedo M, Valentino G, Casas-Cordero C, Berríos A, López-Infante R. Prevalence of American heart association's ¨ Life's Essential 8¨ in a cohort of Latino women. Am J Prev Cardiol 2025; 22:100988. [PMID: 40290418 PMCID: PMC12022485 DOI: 10.1016/j.ajpc.2025.100988] [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: 05/26/2024] [Revised: 10/06/2024] [Accepted: 03/31/2025] [Indexed: 04/30/2025] Open
Abstract
The ideal cardiovascular health (CVH) construct has recently been updated to ¨ Life's Essential 8¨(LE8). Objective to determine LE8's prevalence and its association with sociodemographic and socioeconomic determinants in a Latino women cohort in Santiago de Chile. Methods Cross-sectional study on 619 women between 35 and 70 years old, representing 1.359.509 women (after expansion factors). LE8 was assessed through a survey on demographic and CV risk factors, as well as anthropometric, blood pressure, and biochemical measurements. The overall LE8 score was estimated for all participants, ranging from 0 to 100 (≥80 points, high CVH and < 50 points, low CVH). Besides, the score for each metric was determined. A descriptive analysis was performed with sample weights for the overall sample, and stratified by age, education, family income level and civil status. A regression analysis was performed adjusted by age group, family income and education level to determine the association of sociodemographic variables with LE8 score. Results The mean overall LE8 score was 62.7 points. Only 11.5 % had a high LE8, while 18.2 % had a low score. The best-accomplished metrics were blood glucose and physical activity (PA); the worst were diet and nicotine exposure. The adjusted regression analysis showed significantly higher scores for younger age (+3.2 points for <45yo, p < 0.05) and higher education level (+5 points, p < 0.01 and +12 points, p = 0.000,1 for high school and tertiary education, respectively). Higher LE8 scores in women with high education level were significantly driven by improvements in 5 metrics (lipids, blood pressure, body mass index, diet and PA). Conclusion Nearly 1 out of 9 women from Santiago had an ideal LE8 score. Years of education are crucial determinants in the fight to get an ideal CVH.
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Affiliation(s)
- Paola Varleta
- Fundación SOCHICAR, Sociedad Chilena de Cardiología y Cirugía Cardiovascular, Santiago, Chile
- Centro Cardiovascular, Hospital DIPRECA, Santiago, Chile
| | - Mónica Acevedo
- Fundación SOCHICAR, Sociedad Chilena de Cardiología y Cirugía Cardiovascular, Santiago, Chile
- División de Enfermedades Cardiovasculares, Escuela de Medicina, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Giovanna Valentino
- Carrera de Nutrición y Dietética, Departamento de Ciencias de la Salud, Facultad de Medicina, Pontifiia Universidad Católica, Santiago, Chile
| | - Carolina Casas-Cordero
- Instituto de Ciencias Sociales, Pontificia Universidad Católica de Chile, Santiago, Chile
- Centro de Encuestas y Estudios Longitudinales, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Amalia Berríos
- Fundación SOCHICAR, Sociedad Chilena de Cardiología y Cirugía Cardiovascular, Santiago, Chile
| | - Rosario López-Infante
- Carrera de Kinesiología, Facultad de Odontología y Ciencias de la Rehabilitación, Sede Patagonia, Universidad San Sebastián, Puerto Montt, Chile
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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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Rachman I, Wahiduddin W, Maria IL, Mappangara I, Jafar N, Riskiyani S. Knowledge, Health Education, and Mobile Health Strategies on Cardiovascular Disease Awareness in Women: A Narrative Review. J Midlife Health 2024; 15:228-239. [PMID: 39959732 PMCID: PMC11824932 DOI: 10.4103/jmh.jmh_163_24] [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: 08/28/2024] [Revised: 09/11/2024] [Accepted: 09/24/2024] [Indexed: 02/18/2025] Open
Abstract
The first step to decreasing the occurrence of morbidity and mortality associated with cardiovascular disease (CVD) in women is raising awareness. The aim of this narrative review is to obtain relevant insights into women's awareness and intervention models for CVD. Data were collected through a comprehensive literature search across reputable databases, including PubMed, Crossref, Scopus, and Google Scholar. Inclusion criteria focused on CVD, knowledge, awareness, education, mobile health (mHealth), and women. The researchers reviewed 36 articles, and based on the results, CVD awareness remains low in several countries, particularly among young women. Some factors influencing knowledge, awareness, and preventive behaviors for CVD include age, education level, marital status, occupation, number of children, and urban/rural residence. Digital technology-based applications, specifically mHealth interventions, have been developed to prevent and control CVD risks in women. Examples include SMARTWOMAN™, HeartBeat, Smart Walk, Diet Tracking, TRIANGLE, and FitBit. Digital interventions, such as text messaging, websites, and emails, serve as primordial prevention tools, offering health information and medication adherence reminders to reduce CVD risks in women. Therefore, recognizing the importance of enhancing CVD awareness in young women through health education, specifically using mHealth applications, is important.
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Affiliation(s)
- Irwandi Rachman
- Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
- Department of Health Administration, Faculty of Sports and Health Sciences, Makassar State University, Makassar, Indonesia
| | - Wahiduddin Wahiduddin
- Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
| | - Ida Leida Maria
- Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
| | - Idar Mappangara
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia
| | - Nurhaedar Jafar
- Department of Nutrition, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
| | - Shanti Riskiyani
- Department of Health Promotion, Faculty of Public Health, Hasanuddin University, Makassar, Indonesia
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Emeran A, Burrows R, Loyson J, Behardien MR, Wiemers L, Lambert E. The Effect of Text Message-Based mHealth Interventions on Physical Activity and Weight Loss: A Systematic Review and Meta-Analysis. Am J Lifestyle Med 2024:15598276241268324. [PMID: 39554952 PMCID: PMC11562155 DOI: 10.1177/15598276241268324] [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] [Indexed: 11/19/2024] Open
Abstract
Physical inactivity and obesity are detrimental to one's overall health, as they increase the risk of developing non-communicable diseases. Fortunately, physical inactivity and obesity can be improved by supporting lifestyle behavior changes. This support may be provided remotely by Mobile Health (mHealth) messaging interventions, which involve using mobile messages for health improvement. This study aimed to determine the effect of mHealth interventions using unidirectional text messaging/instant messaging on physical activity and weight-related outcomes in adult populations. An electronic literature search was conducted using PubMed, Scopus, and Web of Science, for pre-post interventions using unidirectional messaging for physical activity/weight loss. A total of 43 articles were included in the review. Most studies used non-tailored text messages, were RCTs, and were performed on clinical populations in high income countries. Meta-analysis showed that messages had minimal effects on physical activity (d+: .14, 95% CI: .05 to .23, P = .003, I2 = 65%), and no effect on weight loss (d+: .04, 95% CI: -.02 to .10, P = .21, I2 = 29%). This suggests that unidirectional messaging alone is not sufficient to promote physical activity and weight loss. Future studies should consider using bidirectional messaging or other interventions in addition to messages, such as mobile applications, to potentially improve intervention effectiveness.
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Affiliation(s)
- Aminah Emeran
- UCT Research Centre for Health Through Physical Activity Lifestyle and Sport (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB, LW)
- International Federation of Sports Medicine (FIMS) Collaborative Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB)
| | - Robyn Burrows
- UCT Research Centre for Health Through Physical Activity Lifestyle and Sport (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB, LW)
- International Federation of Sports Medicine (FIMS) Collaborative Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB)
| | - Josh Loyson
- Department of Radiation Medicine, Division of Radiobiology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa (JL)
| | - Muhammed Rizaan Behardien
- UCT Research Centre for Health Through Physical Activity Lifestyle and Sport (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB, LW)
- International Federation of Sports Medicine (FIMS) Collaborative Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB)
| | - Lauren Wiemers
- UCT Research Centre for Health Through Physical Activity Lifestyle and Sport (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB, LW)
| | - Estelle Lambert
- UCT Research Centre for Health Through Physical Activity Lifestyle and Sport (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB, LW)
- International Federation of Sports Medicine (FIMS) Collaborative Centre of Sports Medicine, University of Cape Town, Cape Town, South Africa (AE, EL, RB, MRB)
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Redfern J, Tu Q, Hyun K, Hollings MA, Hafiz N, Zwack C, Free C, Perel P, Chow CK. Mobile phone text messaging for medication adherence in secondary prevention of cardiovascular disease. Cochrane Database Syst Rev 2024; 3:CD011851. [PMID: 38533994 PMCID: PMC10966941 DOI: 10.1002/14651858.cd011851.pub3] [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: 03/28/2024]
Abstract
BACKGROUND Cardiovascular diseases (CVDs) are the leading cause of death globally, accounting for almost 18 million deaths annually. People with CVDs have a five times greater chance of suffering a recurrent cardiovascular event than people without known CVDs. Although drug interventions have been shown to be cost-effective in reducing the risk of recurrent cardiovascular events, adherence to medication remains suboptimal. As a scalable and cost-effective approach, mobile phone text messaging presents an opportunity to convey health information, deliver electronic reminders, and encourage behaviour change. However, it is uncertain whether text messaging can improve medication adherence and clinical outcomes. This is an update of a Cochrane review published in 2017. OBJECTIVES To evaluate the benefits and harms of mobile phone text messaging for improving medication adherence in people with CVDs compared to usual care. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, four other databases, and two trial registers. We also checked the reference lists of all primary included studies and relevant systematic reviews and meta-analyses. The date of the latest search was 30 August 2023. SELECTION CRITERIA We included randomised controlled trials (RCTs) with participants with established arterial occlusive events. We included trials investigating interventions using short message service (SMS) or multimedia messaging service (MMS) with the aim of improving adherence to medication for the secondary prevention of cardiovascular events. The comparator was usual care. We excluded cluster-RCTs and quasi-RCTs. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our primary outcomes were medication adherence, fatal cardiovascular events, non-fatal cardiovascular events, and combined CVD event. Secondary outcomes were low-density lipoprotein cholesterol for the effect of statins, blood pressure for antihypertensive drugs, heart rate for the effect of beta-blockers, urinary 11-dehydrothromboxane B2 for the antiplatelet effects of aspirin, adverse effects, and patient-reported experience. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS We included 18 RCTs involving a total of 8136 participants with CVDs. We identified 11 new studies in the review update and seven studies in the previous version of the review. Participants had various CVDs including acute coronary syndrome, coronary heart disease, stroke, myocardial infarction, and angina. All studies were conducted in middle- and high-income countries, with no studies conducted in low-income countries. The mean age of participants was 53 to 64 years. Participants were recruited from hospitals or cardiac rehabilitation facilities. Follow-up ranged from one to 12 months. There was variation in the characteristics of text messages amongst studies (e.g. delivery method, frequency, theoretical grounding, content used, personalisation, and directionality). The content of text messages varied across studies, but generally included medication reminders and healthy lifestyle information such as diet, physical activity, and weight loss. Text messages offered advice, motivation, social support, and health education to promote behaviour changes and regular medication-taking. We assessed risk of bias for all studies as high, as all studies had at least one domain at unclear or high risk of bias. Medication adherence Due to different evaluation score systems and inconsistent definitions applied for the measurement of medication adherence, we did not conduct meta-analysis for medication adherence. Ten out of 18 studies showed a beneficial effect of mobile phone text messaging for medication adherence compared to usual care, whereas the other eight studies showed either a reduction or no difference in medication adherence with text messaging compared to usual care. Overall, the evidence is very uncertain about the effects of mobile phone text messaging for medication adherence when compared to usual care. Fatal cardiovascular events Text messaging may have little to no effect on fatal cardiovascular events compared to usual care (odds ratio 0.83, 95% confidence interval (CI) 0.47 to 1.45; 4 studies, 1654 participants; low-certainty evidence). Non-fatal cardiovascular events We found very low-certainty evidence that text messaging may have little to no effect on non-fatal cardiovascular events. Two studies reported non-fatal cardiovascular events, neither of which found evidence of a difference between groups. Combined CVD events We found very low-certainty evidence that text messaging may have little to no effect on combined CVD events. Only one study reported combined CVD events, and did not find evidence of a difference between groups. Low-density lipoprotein cholesterol Text messaging may have little to no effect on low-density lipoprotein cholesterol compared to usual care (mean difference (MD) -1.79 mg/dL, 95% CI -4.71 to 1.12; 8 studies, 4983 participants; very low-certainty evidence). Blood pressure Text messaging may have little to no effect on systolic blood pressure (MD -0.93 mmHg, 95% CI -3.55 to 1.69; 8 studies, 5173 participants; very low-certainty evidence) and diastolic blood pressure (MD -1.00 mmHg, 95% CI -2.49 to 0.50; 5 studies, 3137 participants; very low-certainty evidence) when compared to usual care. Heart rate Text messaging may have little to no effect on heart rate compared to usual care (MD -0.46 beats per minute, 95% CI -1.74 to 0.82; 4 studies, 2946 participants; very low-certainty evidence). AUTHORS' CONCLUSIONS Due to limited evidence, we are uncertain if text messaging reduces medication adherence, fatal and non-fatal cardiovascular events, and combined cardiovascular events in people with cardiovascular diseases when compared to usual care. Furthermore, text messaging may result in little or no effect on low-density lipoprotein cholesterol, blood pressure, and heart rate compared to usual care. The included studies were of low methodological quality, and no studies assessed the effects of text messaging in low-income countries or beyond the 12-month follow-up. Long-term and high-quality randomised trials are needed, particularly in low-income countries.
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Affiliation(s)
- Julie Redfern
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, University of New South Wales, Sydney , Australia
| | - Qiang Tu
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Karice Hyun
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Department of Cardiology, Concord Hospital, Sydney , Australia
| | - Matthew A Hollings
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Nashid Hafiz
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Clara Zwack
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Caroline Free
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Pablo Perel
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Clara K Chow
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Department of Cardiology, Westmead Hospital, Sydney, Australia
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