Evidence map›Paper›PMID 35861763›Full record

ArticleCirculation2022

Racial and Ethnic Differences in All-Cause and Cardiovascular Disease Mortality: The MESA Study.

Wendy S Post, Karol E Watson, Spencer Hansen, Aaron R Folsom, Moyses Szklo, Steven Shea, R Graham Barr, Gregory Burke, Alain G Bertoni, Norrina Allen and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 6 pooled it
18.3field-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

100 citing papers in PubMed, 6 syntheses or guidelines pooled it, 123 citations in OpenAlex.

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  7. Cause of death in fibrotic and nonfibrotic interstitial lung abnormalities: the MESA study.American journal of respiratory and critical care medicine · 2026
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40 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

18 authors at 8 institutions in 2 countries.

Wendy S PostDivision of Cardiology, Department of Medicine (W.S.P., J.A.C.L.), Johns Hopkins University, Baltimore, MD.ORCID 0000-0002-8655-5204
Karol E WatsonDivision of Cardiology, Department of Internal Medicine, UCLA, Los Angeles, CA (K.E.W.).ORCID 0000-0003-3658-6165
Spencer HansenDepartment of Biostatistics (S.H., W.C.J., T.S.K., R.L.M.), University of Washington, Seattle.
Aaron R FolsomDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (A.R.F., J.S.P.).ORCID 0000-0003-2635-2699
Moyses SzkloDepartment of Epidemiology, Bloomberg School of Public Health (W.S.P., M.S.), Johns Hopkins University, Baltimore, MD.
Steven SheaDepartment of Medicine, Vagelos College of Physicians & Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (S.S., R.G.B.).ORCID 0000-0002-7382-0603
R Graham BarrDepartment of Medicine, Vagelos College of Physicians & Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY (S.S., R.G.B.).
Gregory BurkeDivision of Public Health Sciences (G.B.), Wake Forest University School of Medicine, Winston-Salem, NC.
Alain G BertoniDepartment of Internal Medicine (A.G.B.), Wake Forest University School of Medicine, Winston-Salem, NC.
Norrina AllenDepartment of Preventive Medicine, Northwestern University, Chicago, IL (N.A.).
James S PankowDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (A.R.F., J.S.P.).ORCID 0000-0001-7076-483X
Joao A C LimaDivision of Cardiology, Department of Medicine (W.S.P., J.A.C.L.), Johns Hopkins University, Baltimore, MD.ORCID 0000-0001-8756-6995
Jerome I RotterThe Lundquist Institute, Harbor-UCLA Medical Center, Torrance, CA (J.I.R.).ORCID 0000-0001-7191-1723
Joel D KaufmanEnvironmental & Occupational Health Sciences (J.D.K.), University of Washington, Seattle.ORCID 0000-0003-4174-9037
W Craig JohnsonDepartment of Biostatistics (S.H., W.C.J., T.S.K., R.L.M.), University of Washington, Seattle.ORCID 0000-0002-3161-3753
Richard A KronmalDepartment of Biostatistics (S.H., W.C.J., T.S.K., R.L.M.), University of Washington, Seattle.ORCID 0000-0002-9897-7076
Ana V Diez-RouxDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA (A.V.D.-R.).
Robyn L McClellandDepartment of Biostatistics (S.H., W.C.J., T.S.K., R.L.M.), University of Washington, Seattle.
University of Washington · USJohns Hopkins University · USColumbia University · USUCLA Medical Center · USUniversity of Minnesota · USWake Forest University · USDrexel University · USNorthwestern University · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI CATHERINE J KARR · 1995 to 2026
$42.5M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Task Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2M
Social-biological predictors of heterogeneity in CVD risk in African AmericansP60MD002249 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA, MENDES DE LEON, CARLOS F. · 2007 to 2016
$15.0M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1M
Neighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA, LISABETH, LYNDA D · 2003 to 2013
$4.8M
TO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00003 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI POST, WENDY S · 2020 to 2025
$3.8M
Task Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00007 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BERTONI, ALAIN GERALD · 2020 to 2025
$3.5M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL071759NIEHS NIH HHS P30 ES007033NIMHD NIH HHS P60 MD002249
6 · The paper itself

Abstract

backgroundDespite improvements in population health, marked racial and ethnic disparities in longevity and cardiovascular disease (CVD) mortality persist. This study aimed to describe risks for all-cause and CVD mortality by race and ethnicity, before and after accounting for socioeconomic status (SES) and other factors, in the MESA study (Multi-Ethnic Study of Atherosclerosis).

methodsMESA recruited 6814 US adults, 45 to 84 years of age, free of clinical CVD at baseline, including Black, White, Hispanic, and Chinese individuals (2000-2002). Using Cox proportional hazards modeling with time-updated covariates, we evaluated the association of self-reported race and ethnicity with all-cause and adjudicated CVD mortality, with progressive adjustments for age and sex, SES (neighborhood SES, income, education, and health insurance), lifestyle and psychosocial risk factors, clinical risk factors, and immigration history.

resultsDuring a median of 15.8 years of follow-up, 22.8% of participants (n=1552) died, of which 5.3% (n=364) died of CVD. After adjusting for age and sex, Black participants had a 34% higher mortality hazard (hazard ratio [HR], 1.34 [95% CI, 1.19-1.51]), Chinese participants had a 21% lower mortality hazard (HR, 0.79 [95% CI, 0.66-0.95]), and there was no mortality difference in Hispanic participants (HR, 0.99 [95% CI, 0.86-1.14]) compared with White participants. After adjusting for SES, the mortality HR for Black participants compared with White participants was reduced (HR, 1.16 [95% CI, 1.01-1.34]) but still statistically significant. With adjustment for SES, the mortality hazards for Chinese and Hispanic participants also decreased in comparison with White participants. After further adjustment for additional risk factors and immigration history, Hispanic participants (HR, 0.77 [95% CI, 0.63-0.94]) had a lower mortality risk than White participants, and hazard ratios for Black participants (HR, 1.08 [95% CI, 0.92-1.26]) and Chinese participants (HR, 0.81 [95% CI, 0.60-1.08]) were not significantly different from those of White participants. Similar trends were seen for CVD mortality, although the age- and sex-adjusted HR for CVD mortality for Black participants compared with White participants was greater than all-cause mortality (HR, 1.72 [95% CI, 1.34-2.21] compared with HR, 1.34 [95% CI, 1.19-1.51]).

conclusionsThese results highlight persistent racial and ethnic differences in overall and CVD mortality, largely attributable to social determinants of health, and support the need to identify and act on systemic factors that shape differences in health across racial and ethnic groups.

Indexed as

Cardiovascular DiseasesEthnic and Racial MinoritiesHealth Status DisparitiesSocial Determinants of HealthAdultEthnicityHispanic or LatinoHumansRisk FactorsWhite Peoplecardiovascular diseasesethnic and racial minoritieshealth status disparitiessocial determinants of health

Identifiers

PMID35861763
PMCPMC9937428
OpenAlexW4285726068

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