Evidence map›Paper›PMID 34491324›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Trends in Cardiovascular Disease by Asian American, Native Hawaiian, and Pacific Islander Ethnicity, Medicare Health Outcomes Survey 2011-2015.

Lan N Đoàn, Yumie Takata, Karen Hooker, Carolyn Mendez-Luck, Veronica L Irvin

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

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  18. The frequency of rs2231142 inPharmacogenomics · 2023
    Review
  19. Article
  20. Promoting Health Equity Across the Life Span.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
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

5 authors at 1 institution in 1 country.

Lan N ĐoànSchool of Social and Behavioral Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA.ORCID 0000-0003-1826-4728
Yumie TakataSchool of Biological and Population Health Sciences, College of Public Health and Human Sciences Oregon State University, Corvallis, Oregon, USA.
Karen HookerSchool of Social and Behavioral Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA.ORCID 0000-0001-7053-4620
Carolyn Mendez-LuckSchool of Social and Behavioral Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA.ORCID 0000-0002-8877-198X
Veronica L IrvinSchool of Social and Behavioral Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon, USA.
Oregon State University · US

Funding

Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KWON, SIMONA, TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
Res-Ed ComponentP30AG059302 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Rachel M Werner, Allison Willis · 2018 to 2026
$6.4M
Disaggregating Asian American and Pacific Islander Health Data: Multilevel Analysis of Neighborhood Context and Cardiovascular Health using the Medicare Health Outcomes SurveyR36AG060132 · NIA · OREGON STATE UNIVERSITY · PI DOAN, LAN N · 2018 to 2019
$131k
CDC HHS NU38OT2020001477NIA NIH HHS P30 AG059302NIA NIH HHS R36 AG060132NIH HHS U54MD000538NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

backgroundThe burden of cardiovascular disease (CVD) is increasing in the aging population. However, little is known about CVD risk factors and outcomes for Asian American, Native Hawaiian, and Other Pacific Islander (NH/PI) older adults by disaggregated subgroups.

methodsData were from the Centers for Medicare and Medicaid Services 2011-2015 Health Outcomes Survey, which started collecting expanded racial/ethnic data in 2011. Guided by Andersen and Newman's theoretical framework, multivariable logistic regression analyses were conducted to examine the prevalence and determinants of CVD risk factors (obesity, diabetes, smoking status, hypertension) and CVD conditions (coronary artery disease [CAD], congestive heart failure [CHF], myocardial infarction [MI], other heart conditions, stroke) for 10 Asian American and NH/PI subgroups and White adults.

resultsAmong the 639 862 respondents, including 26 853 Asian American and 4 926 NH/PI adults, 13% reported CAD, 7% reported CHF, 10% reported MI, 22% reported other heart conditions, and 7% reported stroke. CVD risk factors varied by Asian American and NH/PI subgroup. The prevalence of overweight, obesity, diabetes, and hypertension was higher among most Asian American and NH/PI subgroups than White adults. After adjustment, Native Hawaiians had significantly greater odds of reporting stroke than White adults.

conclusionsMore attention should focus on NH/PIs as a priority population based on the disproportionate burden of CVD risk factors compared with their White and Asian American counterparts. Future research should disaggregate racial/ethnic data to provide accurate depictions of CVD and investigate the development of CVD risk factors in Asian Americans and NH/PIs over the life course.

Indexed as

Asian American Native Hawaiian and Pacific IslanderCardiovascular DiseasesAgedHumansMedicareObesityOutcome Assessment, Health CarePrevalenceSurveys and QuestionnairesUnited StatesCardiovascularHealth disparitiesMinority aging

Identifiers

PMID34491324
PMCPMC8824666
OpenAlexW3197899645

What OpenQuestion holds

Textmetadata
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.