Evidence map›Paper›PMID 32869210›Full record

ArticleJournal of racial and ethnic health disparities2021

Ethnic and Gender Differences in 10-Year Coronary Heart Disease Risk: a Cross-Sectional Study in Hawai'i.

Claire Townsend Ing, Hyeong Jun Ahn, Rachel Kawakami, Andrew Grandinetti, Todd B Seto, Joseph Keawe'aimoku Kaholokula

Open access · hybridAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Ethnicity, Coronavirus Disease-Related Stress, and E-cigarette Use and Cigarette Smoking Among Young Adults: A Longitudinal Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  3. Article
  4. Review
  5. 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

6 authors at 2 institutions in 1 country.

Claire Townsend IngDepartment of Native Hawaiian Health, University of Hawai'i, Honolulu, HI, USA. clairemt@hawaii.edu.ORCID https://orcid.org/0000-0002-4632-5973
Hyeong Jun AhnDepartment of Quantitative Health Sciences, University of Hawai'i, Honolulu, HI, USA.
Rachel KawakamiGrand Canyon University, Phoenix, AZ, USA.
Andrew GrandinettiOffice of Public Health Studies, University of Hawai'i, Honolulu, HI, USA.
Todd B SetoDepartment of Medicine, University of Hawai'i and Queen's Medical Center, Honolulu, HI, USA.
Joseph Keawe'aimoku KaholokulaDepartment of Native Hawaiian Health, University of Hawai'i, Honolulu, HI, USA.
University of Hawaiʻi at Mānoa · USGrand Canyon University · US

Funding

WORLDWIDE EPIDEMIOLOGY &EPIZOOTIOLOGY OF HANTAVIRUSG12RR003061 · NCRR · UNIVERSITY OF HAWAII AT MANOA · PI OSTRANDER, GARY K · 1986 to 2011
$32.3M
RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI HEDGES, JERRIS ROBERT, MOKUAU, NOREEN · 2012 to 2018
$21.1M
Systems Science Informed Multilevel Theoretical Model of Cardiovascular Health in Native HawaiiansK01HL146930 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI ING, CLAIRE TOWNSEND · 2019 to 2023
$986k
National Center on Minority Health and Health Disparities U54MD007584National Institutes of Health (US) RR03061NCRR NIH HHS G12 RR003061NHLBI NIH HHS K01 HL146930NIMHD NIH HHS U54 MD007584
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the leading cause of death in the US. In Hawai'i, Filipinos and Native Hawaiians have the highest rates of CVD-related risk factors. CVD risk across these ethnic groups has not been examined. This cross-sectional study examines 10-year CVD risk as determined by the Framingham Risk Score (FRS) across ethnic groups in Hawai'i, controlling for clinical, demographic, and psychosocial factors.

methodsThis study includes secondary data analysis of the Kohala Health Research Project dataset. All non-pregnant adults (≥ 18 years of age) who resided in the community of interest during the study period were eligible to participate with 1462 participants completing the clinical examination and surveys. This analysis included clinical, demographic, and psychosocial variables. Ethnic differences were examined using the chi-squared test and one-way ANOVA. Multiple linear regression on FRS was conducted and least square means of FRS were calculated.

resultsData from 1146 individuals were analyzed. Participants were 44.4% Native Hawaiian, 15.4% Filipino, 15.3% Japanese, and 25% non-Hispanic White; 55.4% were female and had a mean age of 48.8 years. For males, the unadjusted Japanese mean FRS was significantly higher compared with the other ethnic groups. For females, Filipino and Japanese mean FRS were significantly higher compared with Native Hawaiians and non-Hispanic Whites. In the fully adjusted model, there were no ethnic group differences in FRS among males and Filipinos had significantly higher FRS compared with non-Hispanic White among females.

conclusionsThis cross-sectional community-based epidemiological study examined ethnic differences in CVD risk after adjusting for age, depression, social support, and acculturation. The results suggest that some ethnic differences in CVD risk persist even after controlling for confounders but that recalibration of risk assessment is necessary.

Indexed as

Health Status DisparitiesAdultCoronary DiseaseCross-Sectional StudiesEthnicityFemaleHawaiiHumansMaleMiddle AgedRace FactorsRisk FactorsSex FactorsCardiovascular disease riskEthnic differencesFilipinoJapaneseNative HawaiianNon-Hispanic White

Identifiers

PMID32869210
PMCPMC8285323
OpenAlexW3082730080

What OpenQuestion holds

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LicenceCC BY
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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.