Evidence map›Paper›PMID 35759765›Full record

ArticleAnnals of internal medicine2022

Life Expectancy for White, Black, and Hispanic Race/Ethnicity in U.S. States: Trends and Disparities, 1990 to 2019.

Catherine O Johnson, Alexandra S Boon-Dooley, Nicole K DeCleene, Kiana F Henny, Brigette F Blacker, Jason A Anderson, Ashkan Afshin, Aleksandr Aravkin, Matthew W Cunningham, Joseph L Dieleman and 11 more

Abstract read
PubMed Full text at PMC Publisher
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Article in Annals of internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Catherine O JohnsonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Alexandra S Boon-DooleyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Nicole K DeCleeneInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Kiana F HennyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Brigette F BlackerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).ORCID 0000-0001-5096-6186
Jason A AndersonInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Ashkan AfshinInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).
Aleksandr AravkinInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).ORCID 0000-0002-1875-1801
Matthew W CunninghamInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Joseph L DielemanInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).
Rachel G FeldmanInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Emmanuela GakidouInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).
Ali H MokdadInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).
Mohsen NaghaviInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).
Cory N SpencerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).ORCID 0000-0001-6897-3157
Joanna L WhisnantInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).ORCID 0000-0001-5439-5093
Hunter Wade YorkInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).ORCID 0000-0001-5084-5966
Rahul R ZendeInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington (C.O.J., A.S.B., N.K.D., K.F.H., B.F.B., J.A.A., M.W.C., R.G.F., C.N.S., J.L.W., H.W.Y., R.R.Z.).
Peng ZhengInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).ORCID 0000-0003-3313-215X
Christopher J L MurrayInstitute for Health Metrics and Evaluation and Department of Health Metrics Sciences, University of Washington, Seattle, Washington (A.Afshin, A.Aravkin, J.L.D., E.G., A.H.M., M.N., P.Z., C.J.L.M.).ORCID 0000-0002-4930-9450
Gregory A RothInstitute for Health Metrics and Evaluation, Department of Health Metrics Sciences, and Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington (G.A.R.).ORCID 0000-0002-8355-9146

Funding

Impact of Interventions on Future Trends in Subnational Burden of Cardiovascular Diseases in the USR01HL136868 · NHLBI · UNIVERSITY OF WASHINGTON · PI Gregory Andrew Roth · 2018 to 2026
$5.7M
NHLBI NIH HHS R01 HL136868
6 · The paper itself

Abstract

backgroundLife expectancy (LE) differences within and between states by race/ethnicity have not been examined.

objectiveTo estimate LE for selected race/ethnicity groups in states from 1990 to 2019.

designCross-sectional time-series analysis.

settingUnited States.

participantsDeidentified death records and Census data were used to construct regression models with smoothed time series of mortality from 1990 to 2019. MEASUREMENTS: LE at birth, by sex and year, for subgroups of people reporting Hispanic, non-Hispanic Black, or non-Hispanic White race/ethnicity.

resultsDisparities in LE across states were 8.0 years for females and 12.2 years for males in 1990 and 7.9 years for females and 7.8 years for males in 2019. When race/ethnicity groups were accounted for, disparities across states were 20.7 years for females and 24.5 years for males in 1990, decreasing to 18.5 years for females and 23.7 years for males in 2019. Disparities across states increased within each race/ethnicity group between 1990 and 2019, with the largest increase for non-Hispanic White males and the smallest for Hispanic females. The disparity between race/ethnicity groups within states decreased for most of the 23 states with estimates for all 3 groups but increased for females in 7 states and males in 5 states. LIMITATION: Because of small sample size, LE was not estimated for 37 of 153 state-race/ethnicity groups.

conclusionDisparity in LE across states was greater when race/ethnicity groups were considered. Disparities across all state-race/ethnicity groups in general have decreased over the past 3 decades. Within each race/ethnicity group, disparities across states have increased. Although racial/ethnic disparities decreased in most of the 23 states for which LE was estimated for all 3 groups, they increased for females in 7 states and males in 5 states. PRIMARY FUNDING SOURCE: National Heart, Lung, and Blood Institute.

Indexed as

Black or African AmericanEthnicityCross-Sectional StudiesFemaleHispanic or LatinoHumansInfant, NewbornLife ExpectancyMaleUnited States

Identifiers

PMID35759765
PMCPMC10519623

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