Evidence map›Paper›PMID 28696578›Full record

ArticleClinical cardiology2017

Does education modify the effect of ethnicity in the expression of ideal cardiovascular health? The Baptist Health South Florida Employee Study.

Oluseye Ogunmoroti, Ovie A Utuama, Erin D Michos, Javier Valero-Elizondo, Victor Okunrintemi, Ziyad Ben Taleb, Raed Bahelah, Sankalp Das, Maribeth Rouseff, Don Parris and 5 more

Abstract readComparative Study
In one paragraph

Article in Clinical cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. 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

15 authors.

Oluseye OgunmorotiCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida.ORCID http://orcid.org/0000-0001-5216-2544
Ovie A UtuamaDepartment of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, Florida.
Erin D MichosThe Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland.
Javier Valero-ElizondoCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida.
Victor OkunrintemiCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida.
Ziyad Ben TalebDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida.
Raed BahelahDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida.
Sankalp DasWellness Advantage Administration, Baptist Health South Florida, Miami, Florida.
Maribeth RouseffWellness Advantage Administration, Baptist Health South Florida, Miami, Florida.
Don ParrisCenter for Research and Grants, Baptist Health South Florida, Miami, Florida.
Arthur AgatstonCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida.
Theodore FeldmanCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida.
Emir VeledarCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida.
Wasim MaziakDepartment of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida.
Khurram NasirCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, Florida.ORCID http://orcid.org/0000-0002-2632-1318

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the progress made to decrease risk factors for cardiovascular diseases, disparities still exist. We examined how education and ethnicity interact to determine disparities in cardiovascular health (CVH) as defined by the American Heart Association. HYPOTHESIS: Education modifies the effect of ethnicity on CVH.

methodsIndividual CVH metrics (smoking, physical activity, body mass index, diet, total cholesterol, blood pressure, and blood glucose) were defined as ideal, intermediate, or poor. Combined scores were categorized as inadequate, average, or optimal CVH. Education was categorized as postgraduate, college, some college, and high school or less; ethnicity was categorized as white, Hispanic, black, and other. Main and interactive associations between education, ethnicity, and the measures of CVH were calculated with multinomial logistic regression.

resultsOf 9056 study participants, 74% were women, and mean age was 43 (±12) years. Over half were Hispanic, and two-thirds had at least a college education. With postgraduate education category as the reference, participants with less than a college education were less likely to achieve ideal status for most of the individual CVH metrics, and also less likely to achieve 6 to 7 ideal metrics, and optimal CVH scores. In most of the educational categories, Hispanic participants had the highest proportion with optimal CVH scores and 6 to 7 ideal metrics, whereas black participants had the lowest proportion. However, there were no statistically significant interactions of education and ethnicity for ideal CVH measures.

conclusionsHigher educational attainment had variable associations with achieved levels of ideal CVH across race/ethnic groups. Interventions to improve CVH should be tailored to meet the needs of target communities.

Indexed as

Educational StatusEthnicityHealth Status DisparitiesHealthy LifestyleRisk Reduction BehaviorAdultBiomarkersBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesChi-Square DistributionCholesterolCross-Sectional StudiesExerciseFemaleBiomarkersBlood GlucoseCholesterolCardiovascularEpidemiologyIdeal Cardiovascular Health MetricsLife's Simple 7Preventive CardiologySocioeconomic Aspects

Identifiers

PMID28696578
PMCPMC6490609

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.