Evidence map›Paper›PMID 28423153›Full record

ArticleJAMA cardiology2017

Heterogeneity in Blood Pressure Transitions Over the Life Course: Age-Specific Emergence of Racial/Ethnic and Sex Disparities in the United States.

Shakia T Hardy, Katelyn M Holliday, Sujatro Chakladar, Joseph C Engeda, Norrina B Allen, Gerardo Heiss, Donald M Lloyd-Jones, Pamela J Schreiner, Christina M Shay, Danyu Lin and 2 more

Abstract read
In one paragraph

Article in JAMA cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Sex differences in arterial hypertension.European heart journal · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Matching Microsimulation Risk Factor Correlations to Cross-sectional Data: The Shortest Distance Method.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Shakia T HardyDepartment of Epidemiology, The University of North Carolina at Chapel Hill.
Katelyn M HollidayDepartment of Epidemiology, The University of North Carolina at Chapel Hill.
Sujatro ChakladarDepartment of Biostatistics, The University of North Carolina at Chapel Hill.
Joseph C EngedaDepartment of Epidemiology, The University of North Carolina at Chapel Hill.
Norrina B AllenDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois.
Gerardo HeissDepartment of Epidemiology, The University of North Carolina at Chapel Hill.
Donald M Lloyd-JonesDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois.
Pamela J SchreinerDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis.
Christina M ShayDepartment of Nutrition, The University of North Carolina at Chapel Hill.
Danyu LinDepartment of Biostatistics, The University of North Carolina at Chapel Hill.
Donglin ZengDepartment of Biostatistics, The University of North Carolina at Chapel Hill.
Christy L AveryDepartment of Epidemiology, The University of North Carolina at Chapel Hill.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
RENAL EPIDEMIOLOGY TRAINING PROGRAMT32DK007750 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FALK, RONALD J · 1999 to 2022
$5.5M
Enumerating the Community Burden of Heart FailureK99HL098458 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AVERY, CHRISTY LEIGH · 2010 to 2011
$234k
The natural history of cardiovascular health in U.S. populationsR21HL121580 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AVERY, CHRISTY LEIGH · 2013 to 2014
$210k
NHLBI NIH HHS HHSN268200900041CNHLBI NIH HHS HHSN268201300025CNHLBI NIH HHS HHSN268201300026CNHLBI NIH HHS HHSN268201300027CNHLBI NIH HHS HHSN268201300028CNHLBI NIH HHS HHSN268201300029CNHLBI NIH HHS K99 HL098458NHLBI NIH HHS R21 HL121580NHLBI NIH HHS T32 HL007055NICHD NIH HHS P2C HD050924NIDDK NIH HHS T32 DK007750NIEHS NIH HHS P30 ES010126NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

Importance: Many studies have assessed racial/ethnic and sex disparities in the prevalence of elevated blood pressure (BP) from childhood to adulthood, yet few have examined differences in age-specific transitions between categories of BP over the life course in contemporary, multiracial/multiethnic populations. Objective: To estimate age, racial/ethnic, and sex-specific annual net transition probabilities between categories of BP using Markov modeling of cross-sectional data from the National Health and Nutrition Examination Survey. Design, Setting, and Participants: National probability sample (National Health and Nutrition Examination Survey in 2007-2008, 2009-2010, and 2011-2012) of 17 747 African American, white American, and Mexican American participants aged 8 to 80 years. The data were analyzed from September 2014 to November 2015. Main Outcomes and Measures: Age-specific American Heart Association-defined BP categories. Results: Three National Health and Nutrition Examination Survey cross-sectional samples were used to characterize the ages at which self-reported African American (n = 4973), white American (n = 8886), and Mexican American (n = 3888) populations transitioned between ideal BP, prehypertension, and hypertension across the life course. At age 8 years, disparities in the prevalence of ideal BP were observed, with the prevalence being lower among boys (86.6%-88.8%) compared with girls (93.0%-96.3%). From ages 8 to 30 years, annual net transition probabilities from ideal to prehypertension among male individuals were more than 2 times the net transition probabilities of their female counterparts. The largest net transition probabilities for ages 8 to 30 years occurred in African American young men, among whom a net 2.9% (95% CI, 2.3%-3.4%) of those with ideal BP transitioned to prehypertension 1 year later. Mexican American young women aged 8 to 30 years experienced the lowest ideal to prehypertension net transition probabilities (0.6%; 95% CI, 0.3%-0.8%). After age 40 years, ideal to prehypertension net transition probabilities stabilized or decreased (range, 3.0%-4.5%) for men, whereas net transition probabilities for women increased rapidly (range, 2.6%-13.0%). Mexican American women exhibited the largest ideal to prehypertension net transition probabilities after age 60 years. The largest prehypertension to hypertension net transition probabilities occurred at young ages in boys of white race/ethnicity and African Americans, approximately age 8 years and age 25 years, respectively, while net transition probabilities for white women and Mexican Americans increased over the life course. Conclusions and Relevance: Heterogeneity in net transition probabilities from ideal BP emerge during childhood, with associated rapid declines in ideal BP observed in boys and African Americans, thus introducing disparities. Primordial prevention beginning in childhood and into early adulthood is necessary to preempt the development of prehypertension and hypertension, as well as associated racial/ethnic and sex disparities.

Indexed as

Health Status DisparitiesAdolescentAdultAgedAged, 80 and overAge FactorsBlack or African AmericanChildCross-Sectional StudiesDisease ProgressionEthnicityFemaleHumansHypertensionMaleMarkov Chains

Identifiers

PMID28423153
PMCPMC5634332

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.