Hypertension Statistics for US Adults: An Open-Source Web Application for Analysis and Visualization of National Health and Nutrition Examination Survey Data

Author:

Jaeger Byron C.1ORCID,Chen Ligong2,Foti Kathryn2ORCID,Hardy Shakia T.2ORCID,Bress Adam P.34ORCID,Kane Sean P.5ORCID,Huang Lei2,Herrick Jennifer S.36ORCID,Derington Catherine G.4ORCID,Poudel Bharat2ORCID,Christenson Ashley2,Colantonio Lisandro D.2ORCID,Muntner Paul2ORCID

Affiliation:

1. Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC (B.C.J.).

2. Department of Epidemiology, University of Alabama at Birmingham (L.C., K.F., S.T.H., L.H., B.P., A.C., L.D.C., P.M.).

3. Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, Veterans Affairs, Salt Lake City Health Care System, UT (A.P.B., J.S.H.).

4. Intermountain Healthcare Department of Population Health Sciences (A.P.B., C.G.D.), Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City.

5. Department of Pharmacy Practice, Rosalind Franklin University of Medicine and Science, North Chicago, IL (S.P.K.).

6. Department of Internal Medicine (J.S.H.), Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City.

Abstract

Background: Data from the US National Health and Nutrition Examination Survey are freely available and can be analyzed to produce hypertension statistics for the noninstitutionalized US population. The analysis of these data requires statistical programming expertise and knowledge of National Health and Nutrition Examination Survey methodology. Methods: We developed a web-based application that provides hypertension statistics for US adults using 10 cycles of National Health and Nutrition Examination Survey data, 1999 to 2000 through 2017 to 2020. We validated the application by reproducing results from prior publications. The application’s interface allows users to estimate crude and age-adjusted means, quantiles, and proportions. Population counts can also be estimated. To demonstrate the application’s capabilities, we estimated hypertension statistics for noninstitutionalized US adults. Results: The estimated mean systolic blood pressure (BP) declined from 123 mm Hg in 1999 to 2000 to 120 mm Hg in 2009 to 2010 and increased to 123 mm Hg in 2017 to 2020. The age-adjusted prevalence of hypertension (ie, systolic BP≥130 mm Hg, diastolic BP≥80 mm Hg or self-reported antihypertensive medication use) was 47.9% in 1999 to 2000, 43.0% in 2009 to 2010, and 44.7% in 2017 to 2020. In 2017 to 2020, an estimated 115.3 million US adults had hypertension. The age-adjusted prevalence of controlled BP, defined by the 2017 American College of Cardiology/American Heart Association BP guideline, among nonpregnant US adults with hypertension was 9.7% in 1999 to 2000, 25.0% in 2013 to 2014, and 21.9% in 2017 to 2020. After age adjustment and among nonpregnant US adults who self-reported taking antihypertensive medication, 27.5%, 48.5%, and 43.0% had controlled BP in 1999 to 2000, 2013 to 2014, and 2017 to 2020, respectively. Conclusions: The application developed in the current study is publicly available at https://bcjaeger.shinyapps.io/nhanesShinyBP/ and produced valid, transparent and reproducible results.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Internal Medicine

Reference36 articles.

1. Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). About the national health and nutrition examination survey. U.S. Department of Health and Human Services Centers for Disease Control and Prevention. 2022. Accessed October 26 2022. https://www.cdc.gov/nchs/nhanes/about_nhanes.htm

2. Potential U.S. Population Impact of the 2017 ACC/AHA High Blood Pressure Guideline

3. U.S. Department of Health and Human Services. The Surgeon General’s call to action to control hypertension. In: Department of Health and Human Services Office of the Surgeon General; 2020.

4. NHANES. National Health and Nutrition Examination Survey Homepage. 2018. Accessed October 3 2022. https://www.cdc.gov/nchs/nhanes/index.htm

5. Perens, B. The open source definition. In: Open sources: voices from the open source revolution. O’Reilly Media; 1999:171–188.

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