Evidence map›Paper›PMID 27770781›Full record

ArticleBMC public health2016

Racial disparities in adult all-cause and cause-specific mortality among us adults: mediating and moderating factors.

M A Beydoun, H A Beydoun, N Mode, G A Dore, J A Canas, S M Eid, A B Zonderman

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Linking disease severity and mortality in obstructive sleep apnea: the role of the endothelial activation and stress index.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  5. Historical slavery predicts contemporary disparities in mortality between Black and White Americans.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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.

M A BeydounNIH Biomedical Research Center, National Institute on Aging, IRP, 251 Bayview Blvd. Suite 100 Room #:04B118, Baltimore, MD, 21224, USA. baydounm@mail.nih.gov.
H A BeydounDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
N ModeNIH Biomedical Research Center, National Institute on Aging, IRP, 251 Bayview Blvd. Suite 100 Room #:04B118, Baltimore, MD, 21224, USA.
G A DoreNIH Biomedical Research Center, National Institute on Aging, IRP, 251 Bayview Blvd. Suite 100 Room #:04B118, Baltimore, MD, 21224, USA.
J A CanasPediatric Endocrinology, Diabetes and Metabolism Nemours Children's Clinic, Jacksonville, FL, USA.
S M EidDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
A B ZondermanNIH Biomedical Research Center, National Institute on Aging, IRP, 251 Bayview Blvd. Suite 100 Room #:04B118, Baltimore, MD, 21224, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies uncovering factors beyond socio-economic status (SES) that would explain racial and ethnic disparities in mortality are scarce.

methodsUsing prospective cohort data from the Third National Health and Nutrition Examination Survey (NHANES III), we examined all-cause and cause-specific mortality disparities by race, mediation through key factors and moderation by age (20-49 vs. 50+), sex and poverty status. Cox proportional hazards, discrete-time hazards and competing risk regression models were conducted (N = 16,573 participants, n = 4207 deaths, Median time = 170 months (1-217 months)).

resultsAge, sex and poverty income ratio-adjusted hazard rates were higher among Non-Hispanic Blacks (NHBs) vs. Non-Hispanic Whites (NHW). Within the above-poverty young men stratum where this association was the strongest, the socio-demographic-adjusted HR = 2.59, p < 0.001 was only partially attenuated by SES and other factors (full model HR = 2.08, p = 0.003). Income, education, diet quality, allostatic load and self-rated health, were among key mediators explaining NHB vs. NHW disparity in mortality. The Hispanic paradox was observed consistently among women above poverty (young and old). NHBs had higher CVD-related mortality risk compared to NHW which was explained by factors beyond SES. Those factors did not explain excess risk among NHB for neoplasm-related death (fully adjusted HR = 1.41, 95 % CI: 1.02-2.75, p = 0.044). Moreover, those factors explained the lower risk of neoplasm-related death among MA compared to NHW, while CVD-related mortality risk became lower among MA compared to NHW upon multivariate adjustment.

conclusionsIn sum, racial/ethnic disparities in all-cause and cause-specific mortality (particularly cardiovascular and neoplasms) were partly explained by socio-demographic, SES, health-related and dietary factors, and differentially by age, sex and poverty strata.

Indexed as

EthnicityHealth Status DisparitiesPovertyRacial GroupsSocial ClassAdultAgedAllostasisCardiovascular DiseasesCause of DeathDietEducational StatusFemaleHumansIncomeMaleAdult mortalityCancerCardiovascular diseaseRace/ethnicitySocio-economic status

Identifiers

PMID27770781
PMCPMC5075398

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.