Evidence map›Paper›PMID 30453117›Full record

ArticleAtherosclerosis2019

Life course trajectories of cardiovascular risk: Impact on atherosclerotic and metabolic indicators.

Benjamin D Pollock, Patrick Stuchlik, Emily W Harville, Katherine T Mills, Wan Tang, Wei Chen, Lydia A Bazzano

Abstract read
In one paragraph

Article in Atherosclerosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  15. Exercise and Carotid Properties in the Young-The KiGGS-2 Study.Frontiers in cardiovascular medicine · 2021
    Article
  16. Review
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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

7 authors.

Benjamin D PollockDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA; Department of Epidemiology, Center for Clinical Effectiveness, Baylor Scott & White Health, Dallas, TX, USA; Robbins Institute for Health Policy & Leadership, Baylor University, Waco, TX, USA. Electronic address: pollockben16@gmail.com.
Patrick StuchlikDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Emily W HarvilleDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Katherine T MillsDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Wan TangDepartment Global Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Wei ChenDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Lydia A BazzanoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Childhood CV Risk and Adult CVD Outcomes: an International Long-term Follow-upR01HL121230 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI BURNS, TRUDY L, CHEN, WEI · 2015 to 2019
$13.3M
EVOLUTION OF CARDIOVASCULAR RISK WITH NORMAL AGINGR01AG016592 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, WEI · 2000 to 2015
$11.7M
The Role of Vascular Aging in Cognitive and Physical Function - Diversity SupplementR01AG041200 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI BAZZANO, LYDIA · 2012 to 2017
$2.9M
Childhood Secondhand Smoke and Longitudinal Cardiovascular Risk ProfileR01ES021724 · NIEHS · TULANE UNIVERSITY OF LOUISIANA · PI CHEN, WEI · 2012 to 2014
$1.8M
NHLBI NIH HHS R01 HL121230NIA NIH HHS R01 AG016592NIA NIH HHS R01 AG041200NIEHS NIH HHS R01 ES021724NIGMS NIH HHS P20 GM109036NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

BACKGROUND AND

aimsIn this analysis, we estimated population-level trajectory groups of life course cardiovascular risk to explore their impact on mid-life atherosclerotic and metabolic outcomes.

methodsThis prospective study followed n = 1269 Bogalusa Heart participants, each with at least 4 study visits from childhood in 1973 through adulthood in 2016. We used discrete mixture modeling to determine trajectories of cardiovascular risk percentiles from childhood to adulthood. Outcomes included mid-life subclinical atherosclerotic measures [(carotid intima-media thickness (cIMT), pulse wave velocity (PWV)], metabolic indicators [(diabetes and body mass index (BMI)], and short physical performance battery (SPPB).

resultsBetween the mean ages of 9.6-48.3 years, we estimated five distinct trajectory groups of life course cardiovascular risk (High-Low, High-High, Mid-Low, Low-Low, and Low-High). Adult metabolic and vascular outcomes were significantly determined by life course cardiovascular risk trajectory groups (all p < 0.01). Those in the High-Low group had lower risks of diabetes (20% vs. 28%, respectively; p = .12) and lower BMIs (32.4 kg/m

conclusionsWe found considerable movement between low- and high-relative cardiovascular risk strata over the life course. Children who improved their relative cardiovascular risk over the life course achieved better mid-life atherosclerotic health despite maintaining relatively poor metabolic health through adulthood.

Indexed as

AdolescentAdultAtherosclerosisBody Mass IndexCardiovascular DiseasesCarotid Intima-Media ThicknessChildFemaleHumansMaleMiddle AgedProbabilityProspective StudiesPulse Wave AnalysisRisk AssessmentRisk FactorsAtherosclerosisEpidemiological methodsLife course cardiovascular riskMetabolic diseaseTrajectory analysis

Identifiers

PMID30453117
PMCPMC7521150

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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.