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Pirzada A, Cai J, Heiss G, Sotres-Alvarez D, Gallo LC, Youngblood ME, Avilés-Santa ML, González HM, Isasi CR, Kaplan R, Kunz J, Lash JP, Lee DJ, Llabre MM, Penedo FJ, Rodriguez CJ, Schneiderman N, Sofer T, Talavera GA, Thyagarajan B, Wassertheil-Smoller S, Daviglus ML. Evolving Science on Cardiovascular Disease Among Hispanic/Latino Adults: JACC International. J Am Coll Cardiol 2023; 81:1505-1520. [PMID: 37045521 DOI: 10.1016/j.jacc.2023.02.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/03/2023] [Accepted: 02/07/2023] [Indexed: 04/14/2023]
Abstract
The landmark, multicenter HCHS/SOL (Hispanic Community Health Study/Study of Latinos) is the largest, most comprehensive, longitudinal community-based cohort study to date of diverse Hispanic/Latino persons in the United States. The HCHS/SOL aimed to address the dearth of comprehensive data on risk factors for cardiovascular disease (CVD) and other chronic diseases in this population and has expanded considerably in scope since its inception. This paper describes the aims/objectives and data collection of the HCHS/SOL and its ancillary studies to date and highlights the critical and sizable contributions made by the study to understanding the prevalence of and changes in CVD risk/protective factors and the burden of CVD and related chronic conditions among adults of diverse Hispanic/Latino backgrounds. The continued follow-up of this cohort will allow in-depth investigations on cardiovascular and pulmonary outcomes in this population, and data from the ongoing ancillary studies will facilitate generation of new hypotheses and study questions.
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Affiliation(s)
- Amber Pirzada
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, Illinois, USA.
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Marston E Youngblood
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - M Larissa Avilés-Santa
- Division of Clinical and Health Services Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA
| | - Hector M González
- Department of Neurosciences, University of California San Diego, San Diego, California, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - John Kunz
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - James P Lash
- Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA
| | - David J Lee
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Maria M Llabre
- Department of Psychology, University of Miami, Miami, Florida, USA
| | - Frank J Penedo
- Department of Psychology, University of Miami, Miami, Florida, USA
| | - Carlos J Rodriguez
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Gregory A Talavera
- Department of Psychology, San Diego State University, San Diego, California, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, Chicago, Illinois, USA
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Navarrete-Villanueva D, Gesteiro E, Gómez-Cabello A, Mañas A, Olivares RP, Villa-Vicente JG, Gusi N, González-Gross M, Ara I, Vicente-Rodríguez G, Casajús JA. Fat-Fit Patterns, Drug Consumption, and Polypharmacy in Older Adults: The EXERNET Multi-Center Study. Nutrients 2021; 13:nu13082872. [PMID: 34445032 PMCID: PMC8400623 DOI: 10.3390/nu13082872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 08/19/2021] [Accepted: 08/19/2021] [Indexed: 11/21/2022] Open
Abstract
Background: Physical fitness levels and the amount of accumulated adipose tissue (fatness) relate to current and future individuals’ heath status. Nevertheless, the interrelationships of their combined patterns with polypharmacy and the types of medications consumed have not been sufficiently investigated. Methods: This cross-sectional study was carried out in six Spanish regions between 2008 and 2009 with a sample of older community-dwelling adults (≥65 years old) without dementia or cancer. Fitness was measured with one-leg balance and senior fitness tests, as well as by measuring weight and fat mass with a bioelectrical impedance analyzer. Polypharmacy was defined as the use of five or more medications. An analysis of variance was performed for comparisons between the physical fitness and fatness patterns and the medication consumed. Results: A total of 1709 elders were included in the study (72.1 ± 5.2 years). The two unfit patterns were those with the highest drug consumption. The High-Fat–Unfit pattern was the one that had the most significant consumption and had the highest percentage of polymedicated subjects. The Low-Fat–Fit pattern had a significantly lower percentage of people that did not consume any medications. The highest percentages of drug consumption in 7 of the 10 groups that were included were concentrated in the two unfit patterns. Conclusions: This study highlights the importance of fitness in older adults, as it is at least as important as the avoidance of accumulation of excess fat with respect to the consumption of a smaller number of medicines.
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Affiliation(s)
- David Navarrete-Villanueva
- GENUD (Growth, Exercise, NUtrition and Development) Research Group, University of Zaragoza, 50009 Zaragoza, Spain; (D.N.-V.); (A.G.-C.); (J.A.C.)
- Department of Physiatry and Nursing, Faculty of Health Sciences (FCS), University of Zaragoza, 50009 Zaragoza, Spain
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- Instituto Agroalimentario de Aragón-IA2-(CITA-Universidad de Zaragoza), 50009 Zaragoza, Spain;
| | - Eva Gesteiro
- Instituto Agroalimentario de Aragón-IA2-(CITA-Universidad de Zaragoza), 50009 Zaragoza, Spain;
- ImFine Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, 28040 Madrid, Spain
| | - Alba Gómez-Cabello
- GENUD (Growth, Exercise, NUtrition and Development) Research Group, University of Zaragoza, 50009 Zaragoza, Spain; (D.N.-V.); (A.G.-C.); (J.A.C.)
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- Instituto Agroalimentario de Aragón-IA2-(CITA-Universidad de Zaragoza), 50009 Zaragoza, Spain;
- Centro Universitario de la Defensa, University of Zaragoza, 50090 Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
| | - Asier Mañas
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), 28040 Madrid, Spain
| | - Rufino Pedro Olivares
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain;
- Faculty of Education, Psychology and Sport Sciences, University of Huelva, Avenida de las Fuerzas Armadas s/n, 21007 Huelva, Spain
| | - José-Gerardo Villa-Vicente
- Grupo de Investigación VALFIS, Instituto de Biomedicina (IBIOMED), Facultad de Ciencias de la Actividad Física y del Deporte, Universidad de León, 24071 León, Spain;
| | - Narcís Gusi
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- CIBER of Frailty and Healthy Aging (CIBERFES), 28040 Madrid, Spain
- Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, 10003 Cáceres, Spain;
| | - Marcela González-Gross
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- ImFine Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, 28040 Madrid, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
| | - Ignacio Ara
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- GENUD Toledo Research Group, Universidad de Castilla-La Mancha, 45071 Toledo, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), 28040 Madrid, Spain
| | - Germán Vicente-Rodríguez
- GENUD (Growth, Exercise, NUtrition and Development) Research Group, University of Zaragoza, 50009 Zaragoza, Spain; (D.N.-V.); (A.G.-C.); (J.A.C.)
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- Instituto Agroalimentario de Aragón-IA2-(CITA-Universidad de Zaragoza), 50009 Zaragoza, Spain;
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
- Department of Physiatry and Nursing, Faculty of Health and Sport Sciences (FCSD), University of Zaragoza, 22002 Huesca, Spain
- Correspondence:
| | - José Antonio Casajús
- GENUD (Growth, Exercise, NUtrition and Development) Research Group, University of Zaragoza, 50009 Zaragoza, Spain; (D.N.-V.); (A.G.-C.); (J.A.C.)
- Red Española de Investigación en Ejercicio Físico y Salud, EXERNET, University of Zaragoza, 50009 Zaragoza, Spain; (A.M.); (N.G.); (M.G.-G.); (I.A.)
- Instituto Agroalimentario de Aragón-IA2-(CITA-Universidad de Zaragoza), 50009 Zaragoza, Spain;
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), 28029 Madrid, Spain
- Department of Physiatry and Nursing, Faculty of Medicine, University of Zaragoza, 50009 Zaragoza, Spain
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Pelà G, Tagliaferri S, Perrino F, Righelli I, Montanari R, Longobucco Y, Salvi M, Calvani R, Cesari M, Cherubini A, Bernabei R, Di Bari M, Landi F, Marzetti E, Lauretani F, Maggio M. Determinants of cardiac structure in frail and sarcopenic elderly adults. Exp Gerontol 2021; 150:111351. [PMID: 33864831 DOI: 10.1016/j.exger.2021.111351] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/05/2021] [Accepted: 04/08/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Cardiac structure and function change with age. The higher prevalence of left ventricular hypertrophy (LVH) with concentric remodeling is indicative of a typical geometric pattern of aging associated with a higher cardiovascular (CV) risk and diseases. The recent associations found between low left ventricular and skeletal mass in older patients with frailty and sarcopenia have raised great interest in investigating cardiac characteristics and determinants of left ventricular mass (LVM) in this population. DESIGN Cross-sectional study. METHODS We evaluated 100 sarcopenic and physically frail outpatients, 33 men (M), 67 women (F), aged ≥70 years (mean age 79 ± 5) and enrolled in the Parma site of European multicenter SPRINTT population. RESULTS All male and female participants showed LVH, assessed as indexed LVM to body surface area (LVM/BSA) (M = 128 ± 39 g/m2; F = 104 ± 26 g/m2), and were more prone to have concentric geometry, as demonstrated by relative wall thickness value (0.41 in both sexes). After backward regression analysis, including covariates such as age, sex, office or ABPM systolic blood pressure (SBP), heart rate, BSA, use of β blockers, ACE-inhibitors, angiotensin receptor blockers, calcium channel blockers, diuretics, physical activity, hemoglobin level, and Mini Mental State examination - the most powerful determinants of LVM were clinical SBP (β = 1.51 ± 0.31, p = 0.0005), BSA (β = 165.9 ± 41.4, p = 0.0001), while less powerful determinants were 24 h, daily and nightly SBP (p = 0.02, p = 0.002, p = 0.004 respectively). CONCLUSIONS Older sarcopenic and physically frail patients showed LVH with a tendency towards concentric geometry. The main determinant of LVM was SBP, highlighting the key role that hemodynamic condition plays in determining LVH in this population.
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Affiliation(s)
- Giovanna Pelà
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy; University-Hospital of Parma, Parma, Italy.
| | - Sara Tagliaferri
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy
| | - Felice Perrino
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy; University-Hospital of Parma, Parma, Italy
| | - Ilaria Righelli
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy
| | - Rossella Montanari
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy
| | - Yari Longobucco
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy
| | - Marco Salvi
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy; University-Hospital of Parma, Parma, Italy; Geriatric Clinic Unit, University-Hospital of Parma, Parma, Italy
| | - Riccardo Calvani
- Department of Geriatrics, Neurosciences and Orthopedics, Università Cattolica del Sacro Cuore and Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Matteo Cesari
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy; Geriatric Unit, IRCCS Istituti Clinici Scientifici Maugeri, Milan, Italy
| | - Antonio Cherubini
- Geriatria, Accettazione Geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy
| | - Roberto Bernabei
- Department of Geriatrics, Neurosciences and Orthopedics, Università Cattolica del Sacro Cuore and Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Mauro Di Bari
- Research Unit of Medicine of Aging, Department of Clinical and Experimental Medicine, University of Florence, Firenze, Italy; Unit of Geriatrics - Geriatrics Intensive Care Unit, Department of Medicine and Geriatrics, University-Hospital Careggi, Firenze, Italy
| | - Francesco Landi
- Department of Geriatrics, Neurosciences and Orthopedics, Università Cattolica del Sacro Cuore and Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Emanuele Marzetti
- Department of Geriatrics, Neurosciences and Orthopedics, Università Cattolica del Sacro Cuore and Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | - Fulvio Lauretani
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy; University-Hospital of Parma, Parma, Italy; Geriatric Clinic Unit, University-Hospital of Parma, Parma, Italy
| | - Marcello Maggio
- Department of Medicine and Surgery, University Medical School of Parma, Parma, Italy; University-Hospital of Parma, Parma, Italy; Geriatric Clinic Unit, University-Hospital of Parma, Parma, Italy
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Left Ventricular Geometrical Changes in Severely Obese Adolescents: Prevalence, Determinants, and Clinical Implications. Pediatr Cardiol 2021; 42:331-339. [PMID: 33079265 PMCID: PMC7907012 DOI: 10.1007/s00246-020-02487-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 10/08/2020] [Indexed: 12/17/2022]
Abstract
Left ventricular hypertrophy (LVH) is independently associated with a higher risk of cardiovascular morbidity and mortality in adults. Adiposity is a risk factor for LVH, independent of blood pressure. Potential causes of this nonhemodynamic pathogenesis identified in adults include adverse body fat distribution, insulin resistance, dyslipidemia, and obstructive sleep apnea syndrome (OSA). In severely obese adolescents, the determinants of obesity-induced changes in left ventricular structure are poorly characterized. Cardiac ultrasonographic, demographic, anthropometric, and comorbidity-related data were prospectively collected in adolescents with severe obesity refractory to conservative treatment who presented for surgical therapy. Differences between adolescents with LVH and without LVH were evaluated using independent samples t, chi-square, or Fisher's exact test. Multivariable linear regression analysis was performed to evaluate associations with left ventricular structural changes, corrected for body mass index (BMI) z score. Forty-three patients entered analysis, of whom 24 (55.8%) showed LVH. The most common geometrical change was eccentric LVH (eLVH), occurring in 21 subjects (48.8%). Demographic and anthropometric variables did not differ between patients with and without LVH. Independent of BMI z score, left ventricular mass index was significantly associated with apnea-hypopnea index (AHI) (regression parameter B = 0.8; 95% CI 0.3 to 1.2). Interventricular septum thickness (IVST) was significantly associated with HOMA-IR values (B = 0.1; 95% CI 0.04 to 0.2), HDL-cholesterol (B = - 1.2; 95% CI - 2.2 to 0.1), and triglyceride levels (B = 0.5; 95% CI 0.001 to 0.9). LVH, especially eLVH, is highly prevalent amongst severely obese adolescents. Adverse changes in cardiac structure, increased IVST in particular, are independently associated with several nonhemodynamic comorbidities that are common in this population, namely OSA, insulin resistance, and dyslipidemia.
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