The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Status of cardiovascular health in US adults and children using the American Heart Association's new "Life's Essential 8" metrics: prevalence estimates from the National Health and Nutrition Examination Survey (NHANES), 2013 through 2018
Open accessAbstract
Background: The American Heart Association recently published an updated algorithm for quantifying cardiovascular health (CVH)—the Life’s Essential 8 score. We quantified US levels of CVH using the new score. Methods: We included individuals ages 2 through 79 years (not pregnant or institutionalized) who were free of cardiovascular disease from the National Health and Nutrition Examination Surveys in 2013 through 2018. For all participants, we calculated the overall CVH score (range, 0 [lowest] to 100 [highest]), as well as the score for each component of diet, physical activity, nicotine exposure, sleep duration, body mass index, blood lipids, blood glucose, and blood pressure, using published American Heart Association definitions. Sample weights and design were incorporated in calculating prevalence estimates and standard errors using standard survey procedures. CVH scores were assessed across strata of age, sex, race and ethnicity, family income, and depression. Results: There were 23 409 participants, representing 201 728 000 adults and 74 435 000 children. The overall mean CVH score was 64.7 (95% CI, 63.9–65.6) among adults using all 8 metrics and 65.5 (95% CI, 64.4–66.6) for the 3 metrics available (diet, physical activity, and body mass index) among children and adolescents ages 2 through 19 years. For adults, there were significant differences in mean overall CVH scores by sex (women, 67.0; men, 62.5), age (range of mean values, 62.2–68.7), and racial and ethnic group (range, 59.7–68.5). Mean scores were lowest for diet, physical activity, and body mass index metrics. There were large differences in mean scores across demographic groups for diet (range, 23.8–47.7), nicotine exposure (range, 63.1–85.0), blood glucose (range, 65.7–88.1), and blood pressure (range, 49.5–84.0). In children, diet scores were low (mean 40.6) and were progressively lower in higher age groups (from 61.1 at ages 2 through 5 to 28.5 at ages 12 through 19); large differences were also noted in mean physical activity (range, 63.1–88.3) and body mass index (range, 74.4–89.4) scores by sociodemographic group. Conclusions: The new Life’s Essential 8 score helps identify large group and individual differences in CVH. Overall CVH in the US population remains well below optimal levels and there are both broad and targeted opportunities to monitor, preserve, and improve CVH across the life course in individuals and the population.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Preventing the development of hypertension reduces risk more than treating existing hypertension.36,37”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [37]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“While physical activity alone is unlikely to result in clinically significant weight loss, combining dietary modification with exercise results in greater long-term weight loss than dietary modification alone.37,38”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [37]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Most individuals with T2D have multiple additional metabolic risk factors for CVD, including excess abdominal adiposity, hypertension and dyslipidemia, with the majority meeting criteria for metabolic syndrome.37”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [37]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“SGLT2i appear to primarily reduce incident and worsening HF.17,37–44”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [37]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Among individuals with MASLD, those with advanced liver fibrosis are at the highest risk.37,38”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [37]
Experimental — accuracy not yet measured
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“In stage G3 CKD (eGFR, 30–59 mL/min/1.73 m2), subgroup analyses suggest DOACs are noninferior to VKA for recurrent VTE or major bleeding.35–38”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [37]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Multiple RCTs of CKM therapies included albuminuria as an eligibility criterion, with absolute risk reductions for cardiovascular and kidney outcomes commonly greater for those with more baseline albuminuria.12,15,33–38”
From 2026 AHA/ACC/ADA/ASN Guideline for the Prevention, Detection, Evaluation, and Management of Cardiovascular-Kidney-Metabolic Syndrome (2026) · cites this paper as [37]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Patient Health Questionnaire-2: Validity of a Two-Item Depression Screener
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2003) · Medical Care · doi:10.1097/01.mlr.0000093487.78664.3c · Cited by 6,359
Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987
Self-citationLloyd-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
Self-citationLloyd-Jones, D. M., Allen, N. B., Anderson, C. A. M., Black, T., Brewer, L. C., Foraker, R. E., Grandner, M. A., Lavretsky, H., Perak, A. M., Sharma, G., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001078 · Cited by 2,785
Self-citationNational Health and Nutrition Examination Survey
(2008) · Sage eBooks · doi:10.4135/9781412953948.n305 · Cited by 1,341
Lichtenstein, A. H., Appel, L. J., Vadiveloo, M., Hu, F. B., Kris-Etherton, P. M., Rebholz, C. M., Sacks, F. M., Thorndike, A. N., Van Horn, L., Wylie-Rosett, J., et al. (2021) · Circulation · doi:10.1161/cir.0000000000001031 · Cited by 1,065
Levine, G. N., Cohen, B. E., Commodore-Mensah, Y., Fleury, J., Huffman, J. C., Khalid, U., Labarthe, D. R., Lavretsky, H., Michos, E. D., Spatz, E. S., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000947 · Cited by 865
Self-citationYang, Q., Cogswell, M. E., Flanders, W. D., Hong, Y., Zhang, Z., Loustalot, F., Gillespie, C., Merritt, R., & Hu, F. B. (2012) · JAMA · doi:10.1001/jama.2012.339 · Cited by 802
Folsom, A. R., Yatsuya, H., Nettleton, J. A., Lutsey, P. L., Cushman, M., & Rosamond, W. D. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.11.041 · Cited by 713
Self-citationJaved, Z., Maqsood, M. H., Yahya, T., Amin, Z., Acquah, I., Valero-Elizondo, J., Andrieni, J., Dubey, P., Jackson, R. K., Daffin, M. A., et al. (2022) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.121.007917 · Cited by 577
Flagged first, then by citations
Research works printed but not linked: 1
- Childhood blood pressure macro-batch mode. Accessed May 18 2022. https://sites.google.com/a/channing.harvard.edu/bernardrosner/pediatric-blood-press/childhood-blood-pressure
Cited by
Sorted by citations
Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300
Self-citationMartin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800
Self-citationDevelopment and validation of the American Heart Association’s PREVENT equations
Khan, S. S., Matsushita, K., Sang, Y., Ballew, S. H., Grams, M. E., Surapaneni, A., Blaha, M. J., Carson, A. P., Chang, A. R., Ciemins, E., et al. (2024) · Circulation · doi:10.1161/circulationaha.123.067626 · Cited by 1,234
Self-citationMartin, S. S., Aday, A. W., Allen, N. B., Almarzooq, Z., Anderson, C. A. M., Arora, P. K., Avery, C. L., Baker-Smith, C. M., Bansal, N., Beaton, A., et al. (2025) · Circulation · doi:10.1161/cir.0000000000001303 · Cited by 1,284
Self-citationThe need to promote sleep health in public health agendas across the globe
Lim, D. C., Najafi, A., Afifi, L., Bassetti, C. L., Buysse, D. J., Han, F., Högl, B., Melaku, Y. A., Morin, C. M., Pack, A. I., et al. (2023) · The Lancet Public Health · doi:10.1016/s2468-2667(23)00182-2 · Cited by 412
Metadata
- Authors
- Lloyd-Jones, D. M., Ning, H., Labarthe, D., Brewer, L., Sharma, G., Rosamond, W., Foraker, R. E., Black, T., Grandner, M. A., Allen, N. B., Anderson, C., Lavretsky, H., & Perak, A. M.
- Affiliations
- Northwestern University Feinberg School of Medicine, Chicago, IL (D.M.L.-J., H.N., D.L., N.B.A., A.M.P.).
- Northwestern University (US)
- Mayo Clinic (US)
- Johns Hopkins University (US)
- University of North Carolina at Chapel Hill (US)
- Washington University in St. Louis (US)
- University of Massachusetts Amherst (US)
- University of Arizona (US)
- University of California San Diego (US)
- University of California, Los Angeles (US)
- ORCID
- Venue
- Circulation
- Published
- 2022-09-13
- Volume
- 146
- Issue
- 11
- Pages
- 822-835
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W4283698126
- Semantic Scholar
- 0d5a3148e3654d20c8ac3ee2acc193b0f52d32b2
- Cited by
- 480
- References
- 48
- Citations by year
- 2026: 81 · 2025: 141 · 2024: 167 · 2023: 83 · 2022: 8
- FWCI
- 69.59
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-11-14)
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Heart, Lung, and Blood Institute (K23HL145101)
- National Center for Complementary and Integrative Health (K24AT009198)
- 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 › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- cardiovascular health, Life's Essential 8, cardiovascular health score, cardiovascular disease prevention, diet quality, physical activity, body mass index, nicotine exposure, sleep duration, serum lipids, blood glucose, blood pressure, children and adolescents, adults, sex differences, racial and ethnic disparities, socioeconomic status, depression, NHANES, prevalence estimates, United States population, health disparities
- MeSH terms
- Adolescent, Adult, American Heart Association, Blood Glucose, Blood Pressure, Cardiovascular Diseases, Child, Child, Preschool, Female, Humans, Male, Nicotine, Nutrition Surveys, Pregnancy, Risk Factors, United States, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review