Evidence map›Paper›PMID 35550933›Full record

ArticleAtherosclerosis2022

Midlife determinants of healthy cardiovascular aging: The Atherosclerosis Risk in Communities (ARIC) study.

Xiaoming Jia, Caroline Sun, Vijay Nambi, Salim S Virani, George Taffet, Eric Boerwinkle, Jan Bressler, Chiadi Ndumele, B Gwen Windham, James A de Lemos and 5 more

Open access · greenAbstract read
In one paragraph

Article in Atherosclerosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

15 authors at 7 institutions in 2 countries.

Xiaoming JiaSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Caroline SunSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Vijay NambiSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Salim S ViraniSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
George TaffetSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Eric BoerwinkleDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Jan BresslerDepartment of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center, Houston, TX, USA.
Chiadi NdumeleDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
B Gwen WindhamDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
James A de LemosDivision of Cardiology, University of Texas-Southwestern Medical Center, Dallas, TX, USA.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
John William McEvoyNational Institute for Prevention and Cardiovascular Health, National University of Ireland Galway, School of Medicine, Galway, Ireland.
Ron C HoogeveenSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Christie M BallantyneSection of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA. Electronic address: cmb@bcm.edu.
Baylor College of Medicine · USJohns Hopkins University · USThe University of Texas Health Science Center at Houston · USJackson Memorial Hospital · USMichael E. DeBakey VA Medical Center · USOllscoil na Gaillimhe – University of Galway · IEThe University of Texas Southwestern Medical Center · US

Funding

Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
Elucidating the Role of Adipokines in Mediating and Predicting HF Associated with ObesityR01HL146907 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NDUMELE, CHIADI E · 2019 to 2023
$4.0M
Epigenetics of Successful AgingR01HL131136 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2017 to 2020
$4.0M
Profiling Cardiovascular Events and Biomarkers in the Very Old to Improve Personalized Approaches for the Prevention of Cardiac and Vascular DiseaseR01HL134320 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BALLANTYNE, CHRISTIE MITCHELL, SELVIN, ELIZABETH · 2016 to 2019
$3.1M
Research and Mentoring in the Clinical Epidemiology of Cardiovascular Disease and Type 2 DiabetesK24HL152440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2020 to 2024
$612k
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS K24 HL152440NHLBI NIH HHS R01 HL131136NHLBI NIH HHS R01 HL134320NHLBI NIH HHS R01 HL146907NIDDK NIH HHS R01 DK089174
6 · The paper itself

Abstract

BACKGROUND AND

aimsRisk factor cutoffs are derived from associations with clinical cardiovascular disease (CVD), but how these risk factors associate with preserved cardiovascular health into old age is not well studied. We investigated midlife determinants of healthy versus nonhealthy cardiovascular aging in the Atherosclerosis Risk in Communities (ARIC) study.

methodsARIC participants were categorized by cardiovascular status in older age (mean age 75.8 ± 5.3 years, range 66-90): healthy, subclinical disease (assessed by biomarkers and left ventricular function), clinical CVD (coronary heart disease, stroke, or heart failure), or prior death. We examined associations of midlife (mean age 52.1 ± 5.1 years) systolic and diastolic blood pressure (SBP, DBP), low-density lipoprotein cholesterol (LDL-C), triglycerides, hemoglobin A1c (HbA1c), and body mass index (BMI) with cardiovascular status in older age using multinomial logistic regression analyses.

resultsCompared with healthy status, odds for subclinical disease (odds ratio [OR] 1.30, 95% confidence interval [CI] 1.09-1.55) and clinical CVD (OR 1.87, 95% CI 1.53-2.29) at older age increased starting with midlife SBP 120-129 mmHg, whereas odds for death increased starting with SBP 110-119 mmHg (OR 1.29, 95% CI 1.10-1.52); findings were similar for DBP. Odds for subclinical disease increased for HbA1c ≥ 6.5% and BMI starting at 30-<35 kg/m

conclusionsMore-stringent levels of modifiable risk factors in midlife beyond current clinical practice and guidelines were associated with preserved cardiovascular health in older age.

Indexed as

AtherosclerosisCardiovascular DiseasesAgedAged, 80 and overAgingBlood PressureCholesterol, LDLGlycated HemoglobinHumansMiddle AgedRisk FactorsCholesterol, LDLGlycated HemoglobinCardiovascular disease preventionCardiovascular risk factorsHealthy aging

Identifiers

PMID35550933
PMCPMC9627572
OpenAlexW4224987115

What OpenQuestion holds

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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.