Evidence map›Paper›PMID 27998915›Full record

ArticleJournal of the American Heart Association2016

Adolescent Diet Quality and Cardiovascular Disease Risk Factors and Incident Cardiovascular Disease in Middle-Aged Women.

Christina C Dahm, Andrea K Chomistek, Marianne Uhre Jakobsen, Kenneth J Mukamal, A Heather Eliassen, Howard D Sesso, Kim Overvad, Walter C Willett, Eric B Rimm, Stephanie E Chiuve

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  9. Interpersonal determinants of diet quality and eating behaviors in people aged 13-30 years: A systematic scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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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

10 authors at 5 institutions in 3 countries.

Christina C DahmSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark ccd@ph.au.dk.
Andrea K ChomistekDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN.
Marianne Uhre JakobsenSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Kenneth J MukamalDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA.
A Heather EliassenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Howard D SessoDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Kim OvervadSection for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Walter C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Eric B RimmDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Stephanie E ChiuveDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Aarhus University · DKBrigham and Women's Hospital · USHarvard University · USBeth Israel Deaconess Medical Center · USIndiana University · US

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
NCATS NIH HHS UL1 TR001108NCI NIH HHS UM1 CA176726
6 · The paper itself

Abstract

backgroundPrimary prevention of cardiovascular disease (CVD) focuses on treatment of risk factors, including hypercholesterolemia, hypertension, and type 2 diabetes mellitus. We investigated whether a healthy diet in adolescence prevents development of clinical risk factors or incidence of CVD in adulthood. METHODS AND

resultsWe examined the time to the first development of ≥1 clinical risk factor (hypercholesterolemia, hypertension, or type 2 diabetes mellitus) or CVD in relation to a high school Alternative Healthy Eating Index (HS-AHEI) within the Nurses' Health Study II. Among those who completed a food frequency questionnaire about their high school diet and adult diet (mean age 42 years), 27 406 women free of clinical risk factors and 42 112 women free of CVD in 1998 were followed to June 2011. Hazard ratios (HRs) and 95% CIs were adjusted for potential confounders in high school and adulthood. We documented 11 542 first diagnoses of clinical risk factors and 423 CVD events. The HS-AHEI was associated with a lower rate of risk factors (HR highest versus lowest quintiles 0.82; 95% CI, 0.77-0.87 [P trend <0.001]), was inversely associated with risk of developing ≥1 clinical risk factor in women with a low, medium, and high AHEI score during adulthood (HR high HS-AHEI/high adult AHEI versus low/low 0.79 [95% CI, 0.74-0.85]), but was not statistically significantly associated with incident CVD.

conclusionsA healthy diet during adolescence is associated with lower risk of developing CVD risk factors. As diet tracks throughout life, and adult diet prevents CVD, healthy dietary habits that begin early are important for primordial prevention of CVD.

Indexed as

AdolescentAdultCardiovascular DiseasesDiabetes Mellitus, Type 2DietFemaleHumansHypercholesterolemiaHypertensionIncidenceMiddle AgedProportional Hazards ModelsRisk FactorsUnited Statesdietpreventionrisk factor

Identifiers

PMID27998915
PMCPMC5210420
OpenAlexW2563856252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.