Evidence map›Paper›PMID 38563367›Full record

ArticleJournal of the American Heart Association2024

Association Between Young Adult Characteristics and Blood Pressure Trajectories.

Jaejin An, Heidi Fischer, Liang Ni, Mengying Xia, Soon Kyu Choi, Kerresa L Morrissette, Rong Wei, Kristi Reynolds, Paul Muntner, Monika M Safford and 7 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jaejin AnDepartment of Research & Evaluation Kaiser Permanente Southern California Pasadena CA USA.ORCID 0000-0002-3161-5732
Heidi FischerDepartment of Research & Evaluation Kaiser Permanente Southern California Pasadena CA USA.ORCID 0000-0001-5343-0002
Liang NiDepartment of Research & Evaluation Kaiser Permanente Southern California Pasadena CA USA.ORCID 0009-0002-1094-8068
Mengying XiaDivision of General Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0009-0009-8866-0057
Soon Kyu ChoiDepartment of Research & Evaluation Kaiser Permanente Southern California Pasadena CA USA.ORCID 0000-0001-9160-662X
Kerresa L MorrissetteDepartment of Research & Evaluation Kaiser Permanente Southern California Pasadena CA USA.ORCID 0000-0002-8333-0405
Rong WeiDepartment of Research & Evaluation Kaiser Permanente Southern California Pasadena CA USA.ORCID 0000-0003-0204-4982
Kristi ReynoldsDepartment of Research & Evaluation Kaiser Permanente Southern California Pasadena CA USA.ORCID 0000-0001-7619-1649
Paul MuntnerDepartment of Epidemiology University of Alabama at Birmingham Birmingham AL USA.ORCID 0000-0002-4711-5492
Monika M SaffordDivision of General Internal Medicine Weill Cornell Medicine New York NY USA.ORCID 0000-0002-3060-0563
Andrew E MoranDivision of General Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0000-0003-3554-0085
Brandon K BellowsDivision of General Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0000-0003-1395-6047
Carmen R IsasiDepartment of Epidemiology and Population Health Albert Einstein College of Medicine Bronx NY USA.ORCID 0000-0003-2700-9593
Norrina B AllenDivision of Epidemiology Northwestern University Chicago IL USA.ORCID 0000-0002-6993-4384
Vanessa XanthakisDepartment of Medicine Boston University Chobanian and Avedisian School of Medicine Boston MA USA.ORCID 0000-0002-7352-621X
Lisandro D ColantonioDepartment of Epidemiology University of Alabama at Birmingham Birmingham AL USA.ORCID 0000-0001-8742-1788
Yiyi ZhangDivision of General Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0000-0002-8663-5001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood pressure (BP) trajectories from young adulthood through middle age are associated with cardiovascular risk. We examined the associations of hypertension risk factors with BP trajectories among a large diverse sample. METHODS AND

resultsWe analyzed data from young adults, aged 18 to 39 years, with untreated BP <140/90 mm Hg at baseline from Kaiser Permanente Southern California (N=355 324). We used latent growth curve models to identify 10-year BP trajectories and to assess the associations between characteristics in young adulthood and BP trajectories. We identified the following 5 distinct systolic BP trajectories, which appeared to be determined mainly by the baseline BP with progressively higher BP at each year: group 1 (lowest BP trajectory, 7.9%), group 2 (26.5%), group 3 (33.0%), group 4 (25.4%), and group 5 (highest BP trajectory, 7.3%). Older age (adjusted odds ratio for 30-39 versus 18-29 years, 1.23 [95% CI, 1.18-1.28]), male sex (13.38 [95% CI, 12.80-13.99]), obesity (body mass index ≥30 versus 18.5-24.9 kg/m

conclusionsTraditional hypertension risk factors including smoking, diabetes, and elevated lipids were associated with BP trajectories in young adults, with obesity having the strongest association with the highest BP trajectory group.

Indexed as

Diabetes MellitusHypertensionAdultBlood PressureHumansMaleMiddle AgedObesityRisk FactorsYoung Adultblood pressure trajectoriescardiovascular riskhypertensionyoung adults

Identifiers

PMID38563367
PMCPMC11262534

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Registered trials

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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.