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

Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

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

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

March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Benjamin, MD, ScM, FAHA, Chair Paul Muntner, PhD, MHS, FAHA, Vice Chair Alvaro Alonso, MD, PhD, FAHA Marcio S. Bittencourt, MD, PhD, MPH Clifton W. Callaway, MD, FAHA April P. Carson, PhD, MSPH, FAHA Alanna M. Chamberlain, PhD Alexander R. Chang, MD, MS Susan Cheng, MD, MMSc, MPH, FAHA Sandeep R. Das, MD, MPH, MBA, FAHA Francesca N. Delling, MD, MPH Luc Djousse, MD, ScD, MPH Mitchell S.V. Elkind, MD, MS, FAHA Jane F. Ferguson, PhD, FAHA Myriam Fornage, PhD, FAHA Lori Chaffin Jordan, MD, PhD, FAHA Sadiya S. Khan, MD, MSc Brett M. Kissela, MD, MS Kristen L. Knutson, PhD Tak W. Kwan, MD, FAHA Daniel T. Lackland, DrPH, FAHA Tené T. Lewis, PhD Judith H. Lichtman, PhD, MPH, FAHA Chris T. Longenecker, MD Matthew Shane Loop, PhD Pamela L. Lutsey, PhD, MPH, FAHA Seth S. Martin, MD, MHS, FAHA Kunihiro Matsushita, MD, PhD, FAHA Andrew E. Moran, MD, MPH, FAHA Michael E. Mussolino, PhD, FAHA Martin O’Flaherty, MD, MSc, PhD Ambarish Pandey, MD, MSCS Amanda M. Perak, MD, MS Wayne D. Rosamond, PhD, MS, FAHA Gregory A. Roth, MD, MPH, FAHA Uchechukwu K.A. Sampson, MD, MBA, MPH, FAHA Gary M. Satou, MD, FAHA Emily B. Schroeder, MD, PhD, FAHA Svati H. Shah, MD, MHS, FAHA Nicole L. Spartano, PhD Andrew Stokes, PhD David L. Tirschwell, MD, MS, MSc, FAHA Connie W. Tsao, MD, MPH, Vice Chair Elect Mintu P. Turakhia, MD, MAS, FAHA Lisa B. VanWagner, MD, MSc, FAST John T. Wilkins, MD, MS, FAHA Sally S. Wong, PhD, RD, CDN, FAHA Salim S. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee

Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

Author(s): Go, Alan S; Mozaffarian, Dariush; Roger, Veronique L; Benjamin, Emelia J; Berry, Jarett D; Borden, William B; Bravata, Dawn M; Dai, Shifan; Ford, Earl S; Fox, Caroline S; Franco, Sheila; Fullerton, Heather J; Gillespie, Cathleen; Hailpern, Susan M; Heit, John A; Howard, Virginia J; Huffman, Mark D; Kissela, Brett M; Kittner, Steven J; Lackland, Daniel T; Lichtman, Judith H; Lisabeth, Lynda D; Magid, David; Marcus, Gregory M; Marelli, Ariane; Matchar, David B; McGuire, Darren K; Mohler, Emile R; Moy, Claudia S; Mussolino, Michael E; Nichol, Graham; Paynter, Nina P; Schreiner, Pamela J; Sorlie, Paul D; Stein, Joel; Turan, Tanya N; Virani, Salim S; Wong, Nathan D; Woo, Daniel; Turner, Melanie B; American Heart Association Statistics Committee and Stroke Statistics Subcommittee

Heart Disease and Stroke Statistics—2013 Update A Report From the American Heart Association

Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .e3

1. About These Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .e7

2. American Heart Association's 2020 Impact Goals. . . . . . . . . . . . . . . . .e10

3. Cardiovascular Diseases . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . .e21

4. Subclinical Atherosclerosis . . . . . . . . . . . . . . . . . . . . .e45

5. Coronary Heart Disease, Acute Coronary Syndrome, and Angina Pectoris . . . . . . . . .e54

6. Stroke (Cerebrovascular Disease) . . . . . . . . . . . . . . . . . . . . . . . . . . . .e68

7. High Blood Pressure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .e88

8. Congenital Cardiovascular Defects . . . . . . . . . . . . . . . . . . . . . . . . . . . .e97

9. Cardiomyopathy and Heart Failure . . . . . . . . . . . . . . . . . . . . . . . . . . . .e102

10. Disorders …

Heart Disease and Stroke Statistics—2012 Update A Report From the American Heart Association

Objective: To examine the differences in health behaviors, and obesity between Hispanics and non-Hispanic Whites with depression. Design: Depression data were gathered from 38 states, the District of Columbia, Puerto Rico, and the US Virgin Islands using the 2006 Behavioral Risk Factor Surveillance System, a state-based random-digit-dialed telephone survey of adults aged ≥18 years (n=156,991). The Patient Health Questionnaire 8 was used to determine current depression. Lifetime diagnosis of depression was assessed by self-report of physician diagnosis. Prevalence ratios were calculated to examine the racial/ethnic differences in leisure-time physical activity, cigarette smoking, binge drinking, heavy drinking and obesity among people with current depression and lifetime diagnosis of depression. Results: There were significant differences in age, education, and health care coverage between Hispanics and non-Hispanic Whites with current depression and lifetime diagnosis of depression. Hispanics with current depression and with lifetime diagnosis of depression were more likely to be obese than non-Hispanic Whites. After adjusting for demographic factors, health care coverage, and self-rated health status, Hispanics with current depression were 17% more likely not to participate in leisure time physical activity and 42% less likely to be a current cigarette smoker compared with non-Hispanic Whites. Hispanics with lifetime diagnosis of depression were 14% more likely not to participate in leisure-time physical activity and 44% less likely to be a current cigarette smoker than non-Hispanic Whites after adjusting for confounders. Conclusions: Public health intervention programs are needed to promote healthy behaviors especially physical activity participation with in the Hispanic community, and paying particular attention to people who already are depressed. (Ethn Dis. 2014;24[1]:92–96)

Health Behaviors and Obesity among Hispanics with Depression, United States 2006

Objective To determine whether disabled diabetic persons have a higher prevalence of risk factors for heart disease and stroke than do diabetic persons without disability. Research, design, and methods Data were analyzed for noninstitutionalized adults in 27 states and the District of Columbia that participated in the Behavioral Risk Factor Surveillance System (BRFSS) in 2001 and/or 2003. Logistic regression analysis was used to estimate the adjusted prevalence and odds ratios of disabled diabetic persons, by sociodemographic characteristics. The logit form of each model was used to estimate conditional marginal probabilities of risk factors for heart disease and stroke among diabetic persons, by disability status. Results Diabetic persons with disability were more likely than those without disability to have more risk factors for heart disease and stroke, including insufficient leisure-time physical activity or inactivity (adjusted prevalence: 75.2% vs. 63.3%; P P P =.038), and hypertension (63.9% vs. 56.6%; P P ≤.005). Conclusions Diabetic persons with disability are more likely than those without disability to have clusters of risk factors for heart disease and stroke. Health care guidelines specifically targeting diabetic patients with disability may be needed to aid health care providers in addressing these risk factors.

Risk factors for heart disease and stroke among diabetic persons, by disability status.

OBJECTIVE To determine whether mental distress among diabetic persons is associated with various CVD risk factors. METHODS Behavioral Risk Factors Surveillance System, an ongoing, statebased, random-digit-dialed telephone survey of the noninstitutionalized US adult population. RESULTS Diabetic persons with mental distress were more likely than those without mental distress to smoke to have hypercholesterolemia and hypertension and not to engage in leisure-time physical activity. CONCLUSIONS Mental health professionals need to be involved in the care of diabetic persons so they can recognize and treat symptoms of mental distress and participate in research to identify interventions that can reduce mental distress and reinforce healthy behaviors.

Prevalence of CVD risk factors among adults with diabetes by mental distress status.

https://stacks.cdc.gov/view/cdc/39981/cdc_39981_DS1.pdf

Engaging academia to advance the science and practice of environmental public health tracking

Nonresponse bias has become a big concern in all telephone surveys conducted in the U.S. Like other RDD telephone surveys, response rates in the Behavioral Risk Factor Surveillance System (BRFSS) have declined steadily since the mid-1990s. In order to improve state-level BRFSS response rates and to assess nonresponse bias, BRFSS is using a mixed-mode data collection design to achieve these goals. A mail follow-up survey to non-respondents of the landline telephone survey was implemented at 4 states in 2010. Characteristics of respondents at the mail follow-up survey (N=2,390) were compared to those from the landline survey (N=11,646). We developed logistic models for each of 14 health indicators to examine whether exclusion of adults from the mail follow-up survey affected estimates after adjusting for demographic characteristics. The extent of the potential for non-response bias in landline telephone surveys was estimated. Using the mail follow-up survey for non-respondents of the landline telephone survey boosted the response rate by 10%. The non-response biases for 3 out of 14 health indicators were slightly higher. Using the mixed-mode design does improve BRFSS response rates.

Lina S. Balluz

Papers

Health Behaviors and Obesity among Hispanics with Depression, United States 2006

Risk factors for heart disease and stroke among diabetic persons, by disability status.

Prevalence of CVD risk factors among adults with diabetes by mental distress status.

Engaging academia to advance the science and practice of environmental public health tracking

The Impact of a Mixed-mode Data Collection Design on Response and Non-response Bias on a RDD Landline Telephone Survey