Evidence map›Paper›PMID 37193999›Full record

ArticleBMC public health2023

Low educational attainment is associated with higher all-cause and cardiovascular mortality in the United States adult population.

Najah Khan, Zulqarnain Javed, Isaac Acquah, Kobina Hagan, Madiha Khan, Javier Valero-Elizondo, Ryan Chang, Umair Javed, Mohamad B Taha, Michael J Blaha and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
13.8field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 50 citations in OpenAlex.

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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

18 authors at 10 institutions in 4 countries.

Najah KhanDepartment of Internal Medicine, Houston Methodist Hospital, Houston, TX), USA.
Zulqarnain JavedCenter for Cardiovascular Computational Health and Precision Medicine (C3-PH) , Houston Methodist, Houston, TX), USA.
Isaac AcquahHouston Methodist Academic Institute, Houston Methodist, Houston, TX), USA.
Kobina HaganHouston Methodist Academic Institute, Houston Methodist, Houston, TX), USA.
Madiha KhanDepartment of Internal Medicine, Houston Methodist Hospital, Houston, TX), USA.
Javier Valero-ElizondoHouston Methodist Academic Institute, Houston Methodist, Houston, TX), USA.
Ryan ChangWashington University in St. Louis, St. Louis, MO), USA.
Umair JavedNational University of Medical Sciences, Rawalpindi, Pakistan.
Mohamad B TahaDivision of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, 6550 Fannin St Suite 1801, Houston, TX, 77030, USA.
Michael J BlahaCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD), USA.
Salim S ViraniMichael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, TX), USA.
Garima SharmaCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD), USA.
Ron BlanksteinCardiovascular Imaging Program, Department of Medicine and Radiology, Brigham and Women's Hospital, Boston, MA), USA.
Martha GulatiDepartment of Preventive Cardiology, Harbor-UCLA Medical Center, Los Angeles, CA, USA.
Elias MossialosDepartment of Health Policy, London School of Economics and Political Science, London, UK.
Adnan A HyderCenter On Commercial Determinants of Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Miguel Cainzos AchiricaCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD), USA.
Khurram NasirCenter for Cardiovascular Computational Health and Precision Medicine (C3-PH) , Houston Methodist, Houston, TX), USA. knasir@houstonmethodist.org.
Houston Methodist · USJohns Hopkins University · USBrigham and Women's Hospital · USHarbor–UCLA Medical Center · USLondon School of Economics and Political Science · GBMethodist Hospital · USMichael E. DeBakey VA Medical Center · USMilken Institute · USNational University of Medical Sciences · PKWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEducational attainment is an important social determinant of health (SDOH) for cardiovascular disease (CVD). However, the association between educational attainment and all-cause and CVD mortality has not been longitudinally evaluated on a population-level in the US, especially in individuals with atherosclerotic cardiovascular disease (ASCVD). In this nationally representative study, we assessed the association between educational attainment and the risk of all-cause and cardiovascular (CVD) mortality in the general adult population and in adults with ASCVD in the US.

methodsWe used data from the 2006-2014 National Death Index-linked National Health Interview Survey for adults ≥ 18 years. We generated age-adjusted mortality rates (AAMR) by levels of educational attainment (< high school (HS), HS/General Education Development (GED), some college, and ≥ College) in the overall population and in adults with ASCVD. Cox proportional hazards models were used to examine the multivariable-adjusted associations between educational attainment and all-cause and CVD mortality.

resultsThe sample comprised 210,853 participants (mean age 46.3), representing ~ 189 million adults annually, of which 8% had ASCVD. Overall, 14.7%, 27%, 20.3%, and 38% of the population had educational attainment < HS, HS/GED, Some College, and ≥ College, respectively. During a median follow-up of 4.5 years, all-cause age-adjusted mortality rates were 400.6 vs. 208.6 and 1446.7 vs. 984.0 for the total and ASCVD populations for < HS vs ≥ College education, respectively. CVD age adjusted mortality rates were 82.1 vs. 38.7 and 456.4 vs 279.5 for the total and ASCVD populations for < HS vs ≥ College education, respectively. In models adjusting for demographics and SDOH, < HS (reference =  ≥ College) was associated with 40-50% increased risk of mortality in the total population and 20-40% increased risk of mortality in the ASCVD population, for both all-cause and CVD mortality. Further adjustment for traditional risk factors attenuated the associations but remained statistically significant for < HS in the overall population. Similar trends were seen across sociodemographic subgroups including age, sex, race/ethnicity, income, and insurance status.

conclusionsLower educational attainment is independently associated with increased risk of all-cause and CVD mortality in both the total and ASCVD populations, with the highest risk observed for individuals with < HS education. Future efforts to understand persistent disparities in CVD and all-cause mortality should pay close attention to the role of education, and include educational attainment as an independent predictor in mortality risk prediction algorithms.

Indexed as

Cardiovascular DiseasesAdultEducational StatusEthnicityHumansMiddle AgedProportional Hazards ModelsRisk FactorsUnited StatesAll-cause mortalityCardiovascular diseaseEducational attainmentHealth disparities

Identifiers

PMID37193999
PMCPMC10186682
OpenAlexW4376873129

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.