Evidence map›Paper›PMID 31195021›Full record

ArticlePreventive medicine2019

Quality and quantity: The association of state-level educational policies with later life cardiovascular disease.

Rita Hamad, Thu T Nguyen, M Maria Glymour, Anusha Vable, Jennifer J Manly, David H Rehkopf

Abstract read
In one paragraph

Article in Preventive medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
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  8. High school quality is associated with cognition 58 years later.Alzheimer's & dementia (Amsterdam, Netherlands)
    Article
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

6 authors.

Rita HamadPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA; Department of Family & Community Medicine, University of California San Francisco, San Francisco, CA, USA. Electronic address: rita.hamad@ucsf.edu.
Thu T NguyenDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
M Maria GlymourDepartment of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Anusha VableDepartment of Family & Community Medicine, University of California San Francisco, San Francisco, CA, USA.
Jennifer J ManlyTaub Institute for Research on Alzheimer's Disease and the Aging Brain and the Department of Neurology, Columbia University Medical Center, New York City, New York, USA.
David H RehkopfDivision of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Assessing the Impact of Educational Interventions on Reducing Disparities in Hypertension and Related BiomarkersK08HL132106 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAMAD, RITA · 2016 to 2019
$668k
Life course contexts and work - quantifying impacts on aging and chronic diseaseK01AG047280 · NIA · STANFORD UNIVERSITY · PI REHKOPF, DAVID H · 2014 to 2018
$632k
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR003142NHLBI NIH HHS K08 HL132106NIA NIH HHS K01 AG047280
6 · The paper itself

Abstract

Education is a powerful predictor of cardiovascular morbidity and mortality. While the majority of the literature has focused on years of educational attainment or degree attainment, fewer studies examine the role of educational quality in the prevention of cardiovascular disease (CVD). We tested the hypothesis that average state-level educational quality was associated with CVD, linking state-level data on educational quality with individual demographic and health data from multiple waves of the National Health and Nutrition Examination Survey (N = 34,770). We examined thirteen CVD-related outcomes-including blood pressure, cholesterol, and heart attack-to understand the multiple pathways through which educational quality may influence CVD. The primary predictor was a composite index of educational quality, combining state-level measures of student-teacher ratios, per-pupil expenditures, and school term length. We fit multivariable models, regressing each outcome on the educational quality composite index and adjusting for individual- and state-level covariates. We also assessed whether the association between state educational quality and CVD differed for less educated individuals. Overall, higher educational quality was associated with less smoking (OR = 0.86, 95%CI: 0.77, 0.97), but there was no statistically significant association for the other 12 outcomes. Interaction tests indicated that less educated individuals benefited less from higher educational quality relative to those with more education for several outcomes. Our study suggests that state-level educational quality is not strongly associated with CVD, and that this null association overall may mask heterogeneous benefits that accrue disproportionately to those with higher levels of education.

Indexed as

Educational StatusAged, 80 and overBlood PressureCardiovascular DiseasesCholesterolCross-Sectional StudiesFemaleHumansMaleMyocardial InfarctionNutrition SurveysRisk FactorsUnited StatesCholesterolCardiovascular diseaseEducational attainmentPolicy evaluationSocioeconomic status

Identifiers

PMID31195021
PMCPMC6697595

What OpenQuestion holds

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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.