Dataset Information

Coronary heart disease and stroke attributable to major risk factors is similar in Argentina and the United States: the Coronary Heart Disease Policy Model.

ABSTRACT:

Background

Cardiovascular disease is the leading cause of death in Argentina and the U.S. Argentina is 92% urban, with cardiovascular disease risk factor levels approximating the U.S.

Methods

The Coronary Heart Disease (CHD) Policy Model is a national-scale computer model of CHD and stroke. Risk factor data were obtained from the Cardiovascular Risk Factor Multiple Evaluation in Latin America Study (2003-04), Argentina National Risk Factor Survey (2005) and U.S. national surveys. Proportions of cardiovascular events over 2005-2015 attributable to risk factors were simulated by setting risk factors to optimal exposure levels [systolic blood pressure (SBP) 115 mm Hg, low-density lipoprotein cholesterol (LDL) 2.00 mmol/l (78 mg/dl), high-density lipoprotein cholesterol (HDL) 1.03 mmol/l (60 mg/dl), absence of diabetes, and smoking]. Cardiovascular disease attributable to body mass index (BMI) >21 kg/m² was assumed mediated through SBP, LDL, HDL, and diabetes.

Results

Cardiovascular disease attributable to major risk factors was similar between Argentina and the U.S., except for elevated SBP in men (CHD 8% points higher in Argentine men, 6% higher for stroke). CHD attributable to BMI >21 kg/m² was substantially higher in the U.S. (men 10-11% points higher; women CHD 13-14% higher).

Conclusions

Projected cardiovascular disease attributable to major risk factors appeared similar in Argentina and the U.S., though elevated BMI may be responsible for more of U.S. cardiovascular disease. A highly urbanized middle-income nation can have cardiovascular disease rates and risk factor levels comparable to a high income nation, but fewer resources for fighting the epidemic.

SUBMITTER: Moran A

PROVIDER: S-EPMC3139755 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature

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Publications

Coronary heart disease and stroke attributable to major risk factors is similar in Argentina and the United States: the Coronary Heart Disease Policy Model.

Moran Andrew A Degennaro Vincent V Ferrante Daniel D Coxson Pamela G PG Palmas Walter W Mejia Raul R Perez-Stable Eliseo J EJ Goldman Lee L

International journal of cardiology 20110507 3

<h4>Background</h4>Cardiovascular disease is the leading cause of death in Argentina and the U.S. Argentina is 92% urban, with cardiovascular disease risk factor levels approximating the U.S.<h4>Methods</h4>The Coronary Heart Disease (CHD) Policy Model is a national-scale computer model of CHD and stroke. Risk factor data were obtained from the Cardiovascular Risk Factor Multiple Evaluation in Latin America Study (2003-04), Argentina National Risk Factor Survey (2005) and U.S. national surveys. ...[more]

PMID: 21550675

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Project description:BackgroundEducational disparities in U.S. adult mortality are large and have widened across birth cohorts. We consider three policy relevant scenarios and estimate the mortality attributable to: (1) individuals having less than a high school degree rather than a high school degree, (2) individuals having some college rather than a baccalaureate degree, and (3) individuals having anything less than a baccalaureate degree rather than a baccalaureate degree, using educational disparities specific to the 1925, 1935, and 1945 cohorts.MethodsWe use the National Health Interview Survey data (1986-2004) linked to prospective mortality through 2006 (N=1,008,949), and discrete-time survival models, to estimate education- and cohort-specific mortality rates. We use those mortality rates and data on the 2010 U.S. population from the American Community Survey, to calculate annual attributable mortality estimates.ResultsIf adults aged 25-85 in the 2010 U.S. population experienced the educational disparities in mortality observed in the 1945 cohort, 145,243 deaths could be attributed to individuals having less than a high school degree rather than a high school degree, 110,068 deaths could be attributed to individuals having some college rather than a baccalaureate degree, and 554,525 deaths could be attributed to individuals having anything less than a baccalaureate degree rather than a baccalaureate degree. Widening educational disparities between the 1925 and 1945 cohorts result in a doubling of attributable mortality. Mortality attributable to having less than a high school degree is proportionally similar among women and men and among non-Hispanic blacks and whites, and is greater for cardiovascular disease than for cancer.ConclusionsMortality attributable to low education is comparable in magnitude to mortality attributable to individuals being current rather than former smokers. Existing research suggests that a substantial part of the association between education and mortality is causal. Thus, policies that increase education could significantly reduce adult mortality.

Project description:BACKGROUND Risk of coronavirus disease 2019 (COVID-19) hospitalization is robustly linked to cardiometabolic health. We estimated the absolute and proportional COVID-19 hospitalizations in US adults attributable to 4 major US cardiometabolic conditions, separately and jointly, and by race/ethnicity, age, and sex. METHODS AND RESULTS We used the best available estimates of independent associations of cardiometabolic conditions with a risk of COVID-19 hospitalization; nationally representative data on cardiometabolic conditions from the National Health and Nutrition Examination Survey 2015 to 2018; and US COVID-19 hospitalizations stratified by age, sex, and race/ethnicity from the Centers for Disease Control and Prevention's Coronavirus Disease 2019-Associated Hospitalization Surveillance Network database and from the COVID Tracking Project to estimate the numbers and proportions of COVID-19 hospitalizations attributable to diabetes mellitus, obesity, hypertension, and heart failure. Inputs were combined in a comparative risk assessment framework, with probabilistic sensitivity analyses and 1000 Monte Carlo simulations to jointly incorporate stratum-specific uncertainties in data inputs. As of November 18, 2020, an estimated 906 849 COVID-19 hospitalizations occurred in US adults. Of these, an estimated 20.5% (95% uncertainty interval [UIs], 18.9-22.1) of COVID-19 hospitalizations were attributable to diabetes mellitus, 30.2% (UI, 28.2-32.3) to total obesity (body mass index ≥30 kg/m2), 26.2% (UI, 24.3-28.3) to hypertension, and 11.7% (UI, 9.5-14.1) to heart failure. Considered jointly, 63.5% (UI, 61.6-65.4) or 575 419 (UI, 559 072-593 412) of COVID-19 hospitalizations were attributable to these 4 conditions. Large differences were seen in proportions of cardiometabolic risk-attributable COVID-19 hospitalizations by age and race/ethnicity, with smaller differences by sex. CONCLUSIONS A substantial proportion of US COVID-19 hospitalizations appear attributable to major cardiometabolic conditions. These results can help inform public health prevention strategies to reduce COVID-19 healthcare burdens.

Dataset Information

Coronary heart disease and stroke attributable to major risk factors is similar in Argentina and the United States: the Coronary Heart Disease Policy Model.

Background

Methods

Results

Conclusions

Publications

Coronary heart disease and stroke attributable to major risk factors is similar in Argentina and the United States: the Coronary Heart Disease Policy Model.

Similar Datasets

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