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Circulation | 2010

Executive summary: Heart disease and stroke statistics-2016 update: A Report from the American Heart Association

Dariush Mozaffarian; Emelia J. Benjamin; Alan S. Go; Donna K. Arnett; Michael J. Blaha; Mary Cushman; Sandeep R. Das; Sarah D. de Ferranti; Jean-Pierre Després; Heather J. Fullerton; Virginia J. Howard; Mark D. Huffman; Carmen R. Isasi; Monik C. Jiménez; Suzanne E. Judd; Brett Kissela; Judith H. Lichtman; Lynda D. Lisabeth; Simin Liu; Rh Mackey; David J. Magid; Darren K. McGuire; Emile R. Mohler; Claudia S. Moy; Paul Muntner; Michael E. Mussolino; Khurram Nasir; Robert W. Neumar; Graham Nichol; Latha Palaniappan

Author(s): Writing Group Members; Mozaffarian, Dariush; Benjamin, Emelia J; Go, Alan S; Arnett, Donna K; Blaha, Michael J; Cushman, Mary; Das, Sandeep R; de Ferranti, Sarah; Despres, Jean-Pierre; Fullerton, Heather J; Howard, Virginia J; Huffman, Mark D; Isasi, Carmen R; Jimenez, Monik C; Judd, Suzanne E; Kissela, Brett M; Lichtman, Judith H; Lisabeth, Lynda D; Liu, Simin; Mackey, Rachel H; Magid, David J; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Muntner, Paul; Mussolino, Michael E; Nasir, Khurram; Neumar, Robert W; Nichol, Graham; Palaniappan, Latha; Pandey, Dilip K; Reeves, Mathew J; Rodriguez, Carlos J; Rosamond, Wayne; Sorlie, Paul D; Stein, Joel; Towfighi, Amytis; Turan, Tanya N; Virani, Salim S; Woo, Daniel; Yeh, Robert W; Turner, Melanie B; American Heart Association Statistics Committee; Stroke Statistics Subcommittee


Circulation | 2016

Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association

Dariush Mozaffarian; Emelia J. Benjamin; Alan S. Go; Donna K. Arnett; Michael J. Blaha; Mary Cushman; Sandeep R. Das; Sarah D. de Ferranti; Jean-Pierre Després; Heather J. Fullerton; Virginia J. Howard; Mark D. Huffman; Carmen R. Isasi; Monik Jimenez; Suzanne E. Judd; Brett Kissela; Judith H. Lichtman; Lynda D. Lisabeth; Simin Liu; Rachel H. Mackey; David J. Magid; Darren K. McGuire; Emile R. Mohler; Claudia S. Moy; Paul Muntner; Michael E. Mussolino; Khurram Nasir; Robert W. Neumar; Graham Nichol; Latha Palaniappan

Author(s): Writing Group Members; Mozaffarian, Dariush; Benjamin, Emelia J; Go, Alan S; Arnett, Donna K; Blaha, Michael J; Cushman, Mary; Das, Sandeep R; de Ferranti, Sarah; Despres, Jean-Pierre; Fullerton, Heather J; Howard, Virginia J; Huffman, Mark D; Isasi, Carmen R; Jimenez, Monik C; Judd, Suzanne E; Kissela, Brett M; Lichtman, Judith H; Lisabeth, Lynda D; Liu, Simin; Mackey, Rachel H; Magid, David J; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Muntner, Paul; Mussolino, Michael E; Nasir, Khurram; Neumar, Robert W; Nichol, Graham; Palaniappan, Latha; Pandey, Dilip K; Reeves, Mathew J; Rodriguez, Carlos J; Rosamond, Wayne; Sorlie, Paul D; Stein, Joel; Towfighi, Amytis; Turan, Tanya N; Virani, Salim S; Woo, Daniel; Yeh, Robert W; Turner, Melanie B; American Heart Association Statistics Committee; Stroke Statistics Subcommittee


Circulation | 2015

Heart Disease and Stroke Statistics—2015 Update A Report From the American Heart Association

Dariush Mozaffarian; Emelia J. Benjamin; Alan S. Go; Donna K. Arnett; Michael J. Blaha; Mary Cushman; Sarah D. de Ferranti; Jean-Pierre Després; Heather J. Fullerton; Virginia J. Howard; Mark D. Huffman; Suzanne E. Judd; Brett Kissela; Daniel T. Lackland; Judith H. Lichtman; Lynda D. Lisabeth; Simin Liu; Rachel H. Mackey; David B. Matchar; Darren K. McGuire; Emile R. Mohler; Claudia S. Moy; Paul Muntner; Michael E. Mussolino; Khurram Nasir; Robert W. Neumar; Graham Nichol; Latha Palaniappan; Dilip K. Pandey; Mathew J. Reeves

STRIDE (Stanford Translational Research Integrated Database Environment) is a research and development project at Stanford University to create a standards-based informatics platform supporting clinical and translational research. STRIDE consists of three integrated components: a clinical data warehouse, based on the HL7 Reference Information Model (RIM), containing clinical information on over 1.3 million pediatric and adult patients cared for at Stanford University Medical Center since 1995; an application development framework for building research data management applications on the STRIDE platform and a biospecimen data management system. STRIDEs semantic model uses standardized terminologies, such as SNOMED, RxNorm, ICD and CPT, to represent important biomedical concepts and their relationships. The system is in daily use at Stanford and is an important component of Stanford Universitys CTSA (Clinical and Translational Science Award) Informatics Program.on behalf of the American Heart Association Statistics Committee and Stroke Statistics Nathan D. Wong, Daniel Woo and Melanie B. Turner Elsayed Z. Soliman, Paul D. Sorlie, Nona Sotoodehnia, Tanya N. Turan, Salim S. Virani, Claudia S. Moy, Dariush Mozaffarian, Michael E. Mussolino, Graham Nichol, Nina P. Paynter, Lynda D. Lisabeth, Diane M. Makuc, Gregory M. Marcus, Ariane Marelli, David B. Matchar, Lichtman, Virginia J. Howard, Brett M. Kissela, Steven J. Kittner, Daniel T. Lackland, Judith H. Caroline S. Fox, Heather J. Fullerton, Cathleen Gillespie, Susan M. Hailpern, John A. Heit, Benjamin, Jarett D. Berry, William B. Borden, Dawn M. Bravata, Shifan Dai, Earl S. Ford, Writing Group Members, Véronique L. Roger, Alan S. Go, Donald M. Lloyd-Jones, Emelia J. Association 2012 Update : A Report From the American Heart −− Heart Disease and Stroke StatisticsHeart Disease, Stroke and other Cardiovascular Diseases • Cardiovascular disease is the leading global cause of death, accounting for 17.3 million deaths per year, a number that is expected to grow to more than 23.6 million by 2030. • In 2008, cardiovascular deaths represented 30 percent of all global deaths, with 80 percent of those deaths taking place in lowand middle-income countries. • Nearly 787,000 people in the U.S. died from heart disease, stroke and other cardiovascular diseases in 2011. That’s about one of every three deaths in America. • About 2,150 Americans die each day from these diseases, one every 40 seconds. • Cardiovascular diseases claim more lives than all forms of cancer combined. • About 85.6 million Americans are living with some form of cardiovascular disease or the after-effects of stroke. • Direct and indirect costs of cardiovascular diseases and stroke total more than


Circulation | 2017

Heart Disease and Stroke Statistics'2017 Update: A Report from the American Heart Association

Emelia J. Benjamin; Michael J. Blaha; Stephanie E. Chiuve; Mary Cushman; Sandeep R. Das; Rajat Deo; Sarah D. de Ferranti; James S. Floyd; Myriam Fornage; Cathleen Gillespie; Carmen R. Isasi; Monik Jimenez; Lori C. Jordan; Suzanne E. Judd; Daniel T. Lackland; Judith H. Lichtman; Lynda D. Lisabeth; Simin Liu; Chris T. Longenecker; Rachel H. Mackey; Kunihiro Matsushita; Dariush Mozaffarian; Michael E. Mussolino; Khurram Nasir; Robert W. Neumar; Latha Palaniappan; Dilip K. Pandey; Ravi R. Thiagarajan; Mathew J. Reeves; Matthew Ritchey

320.1 billion. That includes health expenditures and lost productivity. • Nearly half of all African-American adults have some form of cardiovascular disease, 48 percent of women and 46 percent of men. • Heart disease is the No. 1 cause of death in the world and the leading cause of death in the United States, killing over 375,000 Americans a year. • Heart disease accounts for 1 in 7 deaths in the U.S. • Someone in the U.S. dies from heart disease about once every 90 seconds.Author(s): Mozaffarian, Dariush; Benjamin, Emelia J; Go, Alan S; Arnett, Donna K; Blaha, Michael J; Cushman, Mary; de Ferranti, Sarah; Despres, Jean-Pierre; Fullerton, Heather J; Howard, Virginia J; Huffman, Mark D; Judd, Suzanne E; Kissela, Brett M; Lackland, Daniel T; Lichtman, Judith H; Lisabeth, Lynda D; Liu, Simin; Mackey, Rachel H; Matchar, David B; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Muntner, Paul; Mussolino, Michael E; Nasir, Khurram; Neumar, Robert W; Nichol, Graham; Palaniappan, Latha; Pandey, Dilip K; Reeves, Mathew J; Rodriguez, Carlos J; Sorlie, Paul D; Stein, Joel; Towfighi, Amytis; Turan, Tanya N; Virani, Salim S; Willey, Joshua Z; Woo, Daniel; Yeh, Robert W; Turner, Melanie B; American Heart Association Statistics Committee and Stroke Statistics Subcommittee


Psychosomatic Medicine | 2004

Depression and the Metabolic Syndrome in Young Adults: Findings From the Third National Health and Nutrition Examination Survey

Leslie S. Kinder; Mercedes R. Carnethon; Latha Palaniappan; Abby C. King; Stephen P. Fortmann

WRITING GROUP MEMBERS Emelia J. Benjamin, MD, SCM, FAHA Michael J. Blaha, MD, MPH Stephanie E. Chiuve, ScD Mary Cushman, MD, MSc, FAHA Sandeep R. Das, MD, MPH, FAHA Rajat Deo, MD, MTR Sarah D. de Ferranti, MD, MPH James Floyd, MD, MS Myriam Fornage, PhD, FAHA Cathleen Gillespie, MS Carmen R. Isasi, MD, PhD, FAHA Monik C. Jiménez, ScD, SM Lori Chaffin Jordan, MD, PhD Suzanne E. Judd, PhD Daniel Lackland, DrPH, FAHA Judith H. Lichtman, PhD, MPH, FAHA Lynda Lisabeth, PhD, MPH, FAHA Simin Liu, MD, ScD, FAHA Chris T. Longenecker, MD Rachel H. Mackey, PhD, MPH, FAHA Kunihiro Matsushita, MD, PhD, FAHA Dariush Mozaffarian, MD, DrPH, FAHA Michael E. Mussolino, PhD, FAHA Khurram Nasir, MD, MPH, FAHA Robert W. Neumar, MD, PhD, FAHA Latha Palaniappan, MD, MS, FAHA Dilip K. Pandey, MBBS, MS, PhD, FAHA Ravi R. Thiagarajan, MD, MPH Mathew J. Reeves, PhD Matthew Ritchey, PT, DPT, OCS, MPH Carlos J. Rodriguez, MD, MPH, FAHA Gregory A. Roth, MD, MPH Wayne D. Rosamond, PhD, FAHA Comilla Sasson, MD, PhD, FAHA Amytis Towfighi, MD Connie W. Tsao, MD, MPH Melanie B. Turner, MPH Salim S. Virani, MD, PhD, FAHA Jenifer H. Voeks, PhD Joshua Z. Willey, MD, MS John T. Wilkins, MD Jason HY. Wu, MSc, PhD, FAHA Heather M. Alger, PhD Sally S. Wong, PhD, RD, CDN, FAHA Paul Muntner, PhD, MHSc On behalf of the American Heart Association Statistics Committee and Stroke Statistics Subcommittee Heart Disease and Stroke Statistics—2017 Update


American Journal of Hypertension | 2003

Association between Microalbuminuria and the Metabolic Syndrome: NHANES III

Latha Palaniappan; Mercedes R. Carnethon; Stephen P. Fortmann

Objective: Previous reports have suggested that depression may lead to the development of cardiovascular disease through its association with the metabolic syndrome; however, little is known about the relationship between depression and the metabolic syndrome. The aim of this study was to establish an association between depression and the metabolic syndrome in a nationally representative sample. Methods: The Third National Health and Nutrition Examination Survey is a population-based health survey of noninstitutionalized US citizens completed between 1988 and 1994. Three thousand one hundred eighty-six men and 3003 women, age 17 to 39, free of coronary heart disease and diabetes, completed the depression module from the Diagnostic Interview Schedule and a medical examination that provided clinical data needed to establish the presence of the metabolic syndrome, as defined by the Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Cholesterol in Adults. Results: Women with a history of a major depressive episode were twice as likely to have the metabolic syndrome compared with those with no history of depression. The relationship between depression and metabolic syndrome remained after controlling for age, race, education, smoking, physical inactivity, carbohydrate consumption, and alcohol use. Men with a history of depression were not significantly more likely to have the metabolic syndrome. Conclusions: The prevalence of the metabolic syndrome is elevated among women with a history of depression. It is important to better understand the role depression may play in the effort to reduce the prevalence of the metabolic syndrome and its health consequences.


Circulation | 2018

Heart Disease and Stroke Statistics—2018 Update: A Report From the American Heart Association

Emelia J. Benjamin; Salim S. Virani; Clifton W. Callaway; Alanna M. Chamberlain; Alex R. Chang; Susan Cheng; Stephanie E. Chiuve; Mary Cushman; Francesca N. Delling; Rajat Deo; Sarah D. de Ferranti; Jane F. Ferguson; Myriam Fornage; Cathleen Gillespie; Carmen R. Isasi; Monik Jimenez; Lori C. Jordan; Suzanne E. Judd; Daniel T. Lackland; Judith H. Lichtman; Lynda D. Lisabeth; Simin Liu; Chris T. Longenecker; Pamela L. Lutsey; Jason S. Mackey; David B. Matchar; Kunihiro Matsushita; Michael E. Mussolino; Khurram Nasir; Martin O’Flaherty

We investigated whether microalbuminuria was associated with the metabolic syndrome by comparing the strength of the association between microalbuminuria and the syndrome as a whole and its individual components. This investigation included 5659 women and men aged 20 to 80 years from the cross-sectional, nationally representative, Third National Health and Nutrition Examination Survey (NHANES III: 1988-1994). Metabolic syndrome was defined as any three of the following: increased waist circumference, increased triglycerides, decreased HDL cholesterol, increased blood pressure, or high fasting glucose. Microalbuminuria was defined as urinary albumin/creatinine ratio of 30 to 300 mg/g. Microalbuminuria was present in 7.8% of women and 5.0% of men. Log linear analysis revealed a significant association between the metabolic syndrome and microalbuminuria in both genders (women chi(2) = 44.1; men chi(2) = 59.6; P <.0001 for both). Microalbuminuria was more common in both women (odds ratio [OR] = 2.2; 95% confidence interval [CI] 1.44, 3.34) and men (OR = 4.1; 95% CI 2.45, 6.74) with metabolic syndrome compared to those without it; 34% of women and 42% of men with microalbuminuria also had metabolic syndrome. After adjusting for other components of the metabolic syndrome, hypertension demonstrated the strongest association with microalbuminuria in both women (OR = 3.34; 95% CI 2.45, 4.55) and men (OR = 2.51; 95% CI 1.63, 3.86). Microalbuminuria and metabolic syndrome are associated in a large, nationally representative cohort, possibly due to early renal effects of hypertension, and it may be useful to consider microalbuminuria as a component of the metabolic syndrome.


American Journal of Preventive Medicine | 2013

Mobile applications for weight management: theory-based content analysis.

Kristen M.J. Azar; Lenard I. Lesser; Brian Y. Laing; Janna Stephens; Magi S. Aurora; Lora E. Burke; Latha Palaniappan

Each chapter listed in the Table of Contents (see next page) is a hyperlink to that chapter. The reader clicks the chapter name to access that chapter. Each chapter listed here is a hyperlink. Click on the chapter name to be taken to that chapter. Each year, the American Heart Association (AHA), in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together in a single document the most up-to-date statistics related to heart disease, stroke, and the cardiovascular risk factors listed in the AHA’s My Life Check - Life’s Simple 7 (Figure1), which include core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure [BP], and glucose control) that contribute to cardiovascular health. The Statistical Update represents …


Circulation | 2013

American Heart Association Guide for Improving Cardiovascular Health at the Community Level, 2013 Update A Scientific Statement for Public Health Practitioners, Healthcare Providers, and Health Policy Makers

Thomas A. Pearson; Latha Palaniappan; Nancy T. Artinian; Mercedes R. Carnethon; Michael H. Criqui; Stephen R. Daniels; Gregg C. Fonarow; Stephen P. Fortmann; Barry A. Franklin; James M. Galloway; David C. Goff; Gregory W. Heath; Ariel T.H. Frank; Penny M. Kris-Etherton; Darwin R. Labarthe; Joanne M. Murabito; Ralph L. Sacco; Comilla Sasson; Melanie B. Turner

BACKGROUND The use of smartphone applications (apps) to assist with weight management is increasingly prevalent, but the quality of these apps is not well characterized. PURPOSE The goal of the study was to evaluate diet/nutrition and anthropometric tracking apps based on incorporation of features consistent with theories of behavior change. METHODS A comparative, descriptive assessment was conducted of the top-rated free apps in the Health and Fitness category available in the iTunes App Store. Health and Fitness apps (N=200) were evaluated using predetermined inclusion/exclusion criteria and categorized based on commonality in functionality, features, and developer description. Four researchers then evaluated the two most popular apps in each category using two instruments: one based on traditional behavioral theory (score range: 0-100) and the other on the Fogg Behavioral Model (score range: 0-6). Data collection and analysis occurred in November 2012. RESULTS Eligible apps (n=23) were divided into five categories: (1) diet tracking; (2) healthy cooking; (3) weight/anthropometric tracking; (4) grocery decision making; and (5) restaurant decision making. The mean behavioral theory score was 8.1 (SD=4.2); the mean persuasive technology score was 1.9 (SD=1.7). The top-rated app on both scales was Lose It! by Fitnow Inc. CONCLUSIONS All apps received low overall scores for inclusion of behavioral theory-based strategies.


Circulation | 2010

Call to Action: Cardiovascular Disease in Asian Americans A Science Advisory From the American Heart Association

Latha Palaniappan; Maria Rosario G. Araneta; Themistocles L. Assimes; Elizabeth Barrett-Connor; Mercedes R. Carnethon; Michael H. Criqui; Gordon L. Fung; K.M. Venkat Narayan; Hamang Patel; Ruth E. Taylor-Piliae; Peter W.F. Wilson; Nathan D. Wong

The goal of this American Heart Association Guide for Improving Cardiovascular Health at the Community Level (AHA Community Guide) is to provide a comprehensive inventory of evidence-based goals, strategies, and recommendations for cardiovascular disease (CVD) and stroke prevention that can be implemented on a community level. This guide advances the 2003 AHA Community Guide1 and the 2005 AHA statement on guidance for implementation2 by incorporating new evidence for community interventions gained over the past decade, expanding the target audience to include a broader range of community advocates, aligning with the concepts and terminology of the AHA 2020 Impact Goals, and recognizing the contributions of new public and private sector programs involving community interventions. In recent years, expanding arrays of programs and policies have been implemented in increasingly diverse communities to provide tools, strategies, and other best practices to potentially reduce the incidence of initial and recurrent cardiovascular events. The AHA Community Guide complements the AHA statement entitled “Population Approaches to Improve Diet, Physical Activity, and Smoking Habits”3 and supports the AHA 2020 goal4 to “improve the cardiovascular health of all Americans by 20%, while reducing deaths from CVDs and stroke by 20%.” The present AHA Community Guide supports the AHA 2020 goal by identifying exemplary regional or national programs that encourage cardiovascular health behaviors and health factors (formerly addressing risk behaviors and risk factors) from which communities might acquire proven strategies, expertise, and technical assistance for improving cardiovascular health. The AHA Community Guide seeks to prevent the onset of disease (primary prevention) and to maintain optimal cardiovascular health (primordial prevention) among broader segments of the population. Prior research indicates that using public health strategies such as sodium reduction in processed foods to lower blood pressure,5–8 tobacco laws to promote smoking cessation,9–11 and modification of …

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Sukyung Chung

Palo Alto Medical Foundation

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Beinan Zhao

Palo Alto Medical Foundation

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Eric C. Wong

Palo Alto Medical Foundation

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Kristen M.J. Azar

Palo Alto Medical Foundation

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Elsie J. Wang

Palo Alto Medical Foundation

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Jia Pu

Palo Alto Medical Foundation

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