The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Low Prevalence of “Ideal Cardiovascular Health” in a Community-Based Population: The Heart Strategies Concentrating on Risk Evaluation (Heart SCORE) Study
Open accessAbstract
Background—: Cardiovascular health is a new construct defined by the American Heart Association (AHA) as part of its 2020 Impact Goal definition. The applicability of this construct to community-based populations and the distributions of its components by race and sex have not been reported. Methods and Results—: The AHA construct of cardiovascular health and the AHA ideal health behaviors index and ideal health factors index were evaluated among 1933 participants (mean age 59 years; 44% blacks; 66% women) in the community-based Heart Strategies Concentrating on Risk Evaluation (Heart SCORE) study. One of 1933 participants (0.1%) met all 7 components of the AHA's definition of ideal cardiovascular health. Less than 10% of participants met ≥5 components of ideal cardiovascular health in all subgroups (by race, sex, age, and income level). Thirty-nine subjects (2.0%) had all 4 components of the ideal health behaviors index and 27 (1.4%) had all 3 components of the ideal health factors index. Blacks had significantly fewer ideal cardiovascular health components than whites (2.0±1.2 versus 2.6±1.4; P <0.001). After adjustment by sex, age, and income level, blacks had 82% lower odds of having ≥5 components of ideal cardiovascular health (odds ratio 0.18, 95% confidence interval, 0.10 to 0.34; P <0.001). No interaction was found between race and sex. Conclusion—: The prevalence of ideal cardiovascular health is extremely low in a middle-aged community-based study population. Comprehensive individual and population-based interventions must be developed to support the attainment of the AHA′s 2020 Impact Goal for cardiovascular health.
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“Similarly, in 2008 to 2010, Asian women (5.5%) and Hispanic women (9.6%) were less likely to be current cigarette smokers than non-Hispanic black women (17.6%), non-Hispanic white women (20.9%), and American Indian or Alaska Native women (20.7%; NHIS).9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“In this age group, men were more likely than women to be former smokers (54.0% compared with 30.0%) on the basis of age-adjusted estimates (NHIS).9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“In 2008 to 2010, among people ≥65 years of age, 9.4% of men and 9.1% of women were current smokers.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“The percentage of adults reporting at least 150 minutes of moderate PA or 75 minutes of vigorous PA or an equivalent combination weekly decreased with age from 55.8% for adults 18 to 44 years of age to 27.4% for those ≥75 years of age, on the basis of the 2011 NHIS.9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“the results showed that 39% of rural versus 32% of urban children had BMI >85th percentile.9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“The ORs are modest, ranging from 1.06 to 1.51 per copy of the risk allele (individuals may harbor up to 2 copies of a risk allele).”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“Altogether, there are 23 well-replicated loci for MI.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“However, these are common alleles, which suggests that the attributable risk may be substantial.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“Data from the BRFSS study of the CDC in 2011 showed that the percentage of adults who had been screened for high blood cholesterol in the preceding 5 years ranged from 66.3% in Utah to 83.7% in Massachusetts. The median percentage among all 50 states was 75.5%.9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“The age-adjusted prevalence of hypertension (both diagnosed and undiagnosed) in 2003 to 2006 was 75% for older women and 65% for older men on the basis of data from NHANES/NCHS.9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“Approximately half of the 1098 adolescent participants in the Princeton School District Study diagnosed with pediatric Adult Treatment Panel III metabolic syndrome lost the diagnosis over 3 years of follow-up.9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“A study of the decrease in US deaths attributable to CHD from 1980 to 2000 suggests that ≈47% of the decrease was attributable to increased use of evidence-based medical therapies and 44% to changes in risk factors in the population attributable to lifestyle and environmental changes.9”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“A similar decline was not seen in blacks.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“These changes for whites were driven by a decline in ischemic strokes.”
From Heart Disease and Stroke Statistics—2013 Update: A Report From the American Heart Association (2013) · cites this paper as [9]
In the citing paper
“However, the prevalence of ideal cardiovascular health is very low in the US population, and the prevalence of poor-quality diet, physical inactivity, and overweight/obesity is alarmingly high, presaging a worsening of the current distribution of health biomarkers.1–8”
From Better Population Health Through Behavior Change in Adults: A Call to Action (2013) · cites this paper as [3]
In the citing paper
“However, the prevalence of ideal cardiovascular health is very low in the US population, and the prevalence of poor-quality diet, physical inactivity, and overweight/obesity is alarmingly high, presaging a worsening of the current distribution of health biomarkers.1–8”
From Better Population Health Through Behavior Change in Adults: A Call to Action (2013) · cites this paper as [3]
In the citing paper
“However, the prevalence of ideal cardiovascular health is very low in the US population, and the prevalence of poor-quality diet, physical inactivity, and overweight/obesity is alarmingly high, presaging a worsening of the current distribution of health biomarkers.1–8”
From Better Population Health Through Behavior Change in Adults: A Call to Action (2013) · cites this paper as [3]
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Cites
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198
Prevalence and Trends in Obesity Among US Adults, 1999-2008
Flegal, K. M. (2010) · JAMA · doi:10.1001/jama.2009.2014 · Cited by 7,580
Heart Disease and Stroke Statistics—2010 Update: A Report From the American Heart Association
WRITING GROUP MEMBERS, Lloyd-Jones, D., Adams, R. J., Brown, T. M., Carnethon, M., Dai, S., De Simone, G., Ferguson, T. B., Ford, E., Furie, K., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192667 · Cited by 5,700
Lloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750
Regression to the mean: what it is and how to deal with it
Barnett, A. G. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh299 · Cited by 1,988
State of disparities in cardiovascular health in the United States.
Mensah, G. A., Mokdad, A. H., Ford, E. S., Greenlund, K. J., & Croft, J. B. (2005) · Circulation · doi:10.1161/01.cir.0000158136.76824.04 · Cited by 1,213
Artinian, N. T., Fletcher, G. F., Mozaffarian, D., Kris-Etherton, P., Van Horn, L., Lichtenstein, A. H., Kumanyika, S., Kraus, W. E., Fleg, J. L., Redeker, N. S., et al. (2010) · Circulation · doi:10.1161/cir.0b013e3181e8edf1 · Cited by 919
Goodpaster, B. H., DeLany, J. P., Otto, A. D., Kuller, L., Vockley, J., South-Paul, J. E., Thomas, S. B., Brown, J., McTigue, K., Hames, K. C., et al. (2010) · JAMA · doi:10.1001/jama.2010.1505 · Cited by 558
Primary Prevention of Stroke by Healthy Lifestyle
Chiuve, S. E., Rexrode, K. M., Spiegelman, D. L., Logroscino, G., Manson, J. E., & Rimm, E. B. (2008) · Circulation · doi:10.1161/circulationaha.108.781062 · Cited by 508
Chiuve, S. E., McCullough, M. L., Sacks, F. M., & Rimm, E. B. (2006) · Circulation · doi:10.1161/circulationaha.106.621417 · Cited by 477
An Overview Of Cardiovascular Disease Burden In The United States
Mensah, G. A., & Brown, D. W. (2007) · Health Affairs · doi:10.1377/hlthaff.26.1.38 · Cited by 428
Ainsworth, B. E., Jacobs, D. R., & Leon, A. S. (1993) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199301000-00013 · Cited by 345
Healthy Lifestyle Characteristics Among Adults in the United States, 2000
Reeves, M. J., & Rafferty, A. P. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.8.854 · Cited by 293
Midlife Risk Factors and Healthy Survival in Men
Willcox, B. J., He, Q., Chen, R., Yano, K., Masaki, K., Grove, J., Donlon, T. A., Willcox, D. C., & Curb, J. D. (2006) · JAMA · doi:10.1001/jama.296.19.2343 · Cited by 247
The Affordable Care Act and the Future of Clinical Medicine: The Opportunities and Challenges
Kocher, R. P., Emanuel, E., & DeParle, N.-A. M. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-153-8-201010190-00274 · Cited by 247
Healthy lifestyle and the risk of stroke in women
Kurth, T., Moore, S. C., Gaziano, J. M., Kase, C. S., Stampfer, M. J., Berger, K., & Buring, J. E. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.13.1403 · Cited by 246
Rifas-Shiman, S., Willett, W., Lobb, R., Kotch, J. B., Dart, C., & Gillman, M. (2001) · Public Health Nutrition · doi:10.1079/phn200061 · Cited by 209
Race, Ethnicity, and Health: Can Genetics Explain Disparities?
Braun, L. (2002) · Perspectives in biology and medicine · doi:10.1353/pbm.2002.0023 · Cited by 208
Turning Back the Clock: Adopting a Healthy Lifestyle in Middle Age
King, D. E., Mainous, A. G., & Geesey, M. E. (2007) · The American Journal of Medicine · doi:10.1016/j.amjmed.2006.09.020 · Cited by 151
Knoops, K. T. B., de Groot, L. C. P. G. M., Kromhout, D., Perrin, A.-E., Moreiras-Varela, O., Menotti, A., & van Staveren, W. A. (2004) · JAMA · doi:10.1001/jama.292.12.1433 · Cited by 146
Ford, E. S., Li, C., Zhao, G., Pearson, W. S., & Capewell, S. (2009) · Circulation · doi:10.1161/circulationaha.108.835728 · Cited by 106
Social Science and Health Research: Growth at the National Institutes of Health
Bachrach, C. A., & Abeles, R. P. (2004) · American Journal of Public Health · doi:10.2105/ajph.94.1.22 · Cited by 86
Intervening on the Social Determinants of Cardiovascular Disease and Diabetes
Liburd, L. C., Jack, L., Williams, S. M., & Tucker, P. (2005) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2005.07.013 · Cited by 65
Strandberg, A. Y., Strandberg, T. E., Salomaa, V. V., Pitkälä, K. H., Häppölä, O., & Miettinen, T. A. (2004) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2003.09.013 · Cited by 24
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Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Borden, W. B., Bravata, D. M., Dai, S., Ford, E. S., Fox, C. S., et al. (2013) · Circulation · doi:10.1161/cir.0b013e31828124ad · Cited by 5,292
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Go, A. S., Mozaffarian, D., Roger, V. L., Benjamin, E. J., Berry, J. D., Blaha, M. J., Dai, S., Ford, E. S., Fox, C. S., Franco, S., et al. (2013) · Circulation · doi:10.1161/01.cir.0000441139.02102.80 · Cited by 5,264
Wu, S., Huang, Z., Yang, X., Zhou, Y., Wang, A., Chen, L., Zhao, H., Ruan, C., Wu, Y., Xin, A., et al. (2012) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.111.963694 · Cited by 429
Shay, C. M., Ning, H., Allen, N. B., Carnethon, M. R., Chiuve, S. E., Greenlund, K. J., Daviglus, M. L., & Lloyd-Jones, D. M. (2012) · Circulation · doi:10.1161/circulationaha.111.035733 · Cited by 368
Dong, C., Rundek, T., Wright, C. B., Anwar, Z., Elkind, M. S. V., & Sacco, R. L. (2012) · Circulation · doi:10.1161/circulationaha.111.081083 · Cited by 338
Metadata
- Authors
- Bambs, C., Kip, K. E., Dinga, A., Mulukutla, S. R., Aiyer, A. N., & Reis, S. E.
- Affiliations
- From the School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile (C.B.); College of Nursing, University of South Florida, Tampa, FL (K.E.K.); and Cardiovascular Institute, University of Pittsburgh, Pittsburgh, PA (A.D., S.R.M., A.N.A., S.E.R.).
- Pontificia Universidad Católica de Chile (CL)
- Venue
- Circulation
- Published
- 2011-03
- Volume
- 123
- Issue
- 8
- Pages
- 850-857
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- PMC
- PMC3061396
- OpenAlex
- W2563662165
- Cited by
- 235
- References
- 26
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 6 · 2023: 12 · 2022: 13 · 2021: 14 · 2020: 13 · 2019: 16 · 2018: 19 · 2017: 14 · 2016: 14 · 2015: 21 · 2014: 22 · 2013: 33 · 2012: 18
- FWCI
- 17.38
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- American Heart Association
- Pennsylvania Department of Health (ME-02-384)
- National Institutes of Health (ME-02-384)
- National Heart, Lung, and Blood Institute (R01HL089292)
- Bioenergy Technologies Office
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Disease Prevention
- Keywords
- ideal cardiovascular health, cardiovascular health, racial disparities, sex differences, middle-aged adults, community-based population, cardiovascular risk
- MeSH terms
- American Heart Association, Black or African American, Coronary Disease, Female, Health Status, Health Surveys, Humans, Male, Middle Aged, Residence Characteristics, Risk Factors, United States, Prevalence, Black People, White People
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