Evidence map›Paper›PMID 27026423›Full record

ArticleEuropean journal of clinical nutrition2016

Ethnic admixture affects diabetes risk in native Hawaiians: the Multiethnic Cohort.

G Maskarinec, Y Morimoto, S Jacobs, A Grandinetti, M K Mau, L N Kolonel

Abstract read
In one paragraph

Article in European journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Ethnic Mixture and Body Mass Index as Modifiers of Breast Cancer Risk among Native Hawaiian Women: Insights from the Multiethnic Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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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 5 institutions in 2 countries.

G MaskarinecUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Y MorimotoUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
S JacobsGerman Institute of Human Nutrition, Potsdam-Rehbrücke, Germany.
A GrandinettiOffice of Public Health Studies, University of Hawaii, Honolulu, HI, USA.
M K MauDepartment of Native Hawaiian Health, JABSOM, University of Hawaii, Honolulu, HI, USA.
L N KolonelUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
University of Hawaii Cancer CenterCancer Center of Hawaii · USGerman Institute of Human Nutrition · DEUniversity of Hawaiʻi at Mānoa · USUniversity of Hawaii System · US

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
UNDERSTANDING AND REDUCING ETHNIC DISPARITIES IN PREVENTABLE HOSPITALIZATIONSP20MD000173 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MAU, MARJORIE K. LEIMOMI MALA · 2002 to 2017
$21.0M
Understanding Ethnic Differences in Cancer: The Multiethnic Cohort StudyUM1CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HENDERSON, BRIAN E, LE MARCHAND, LOIC · 2012 to 2014
$11.3M
MULTIETHNIC/MINORITY COHORT STUDY OF DIET AND CANCERR01CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1993 to 2002
$4.5M
Nutritional Risk Factors for Type 2 Diabetes in the Multiethnic CohortR21DK073816 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI MASKARINEC, GERTRAUD · 2007 to 2008
$389k
NCI NIH HHS R01 CA054281NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA164973NCI NIH HHS UM1 CA164973NIDDK NIH HHS R21 DK073816NIMHD NIH HHS P20 MD000173
6 · The paper itself

Abstract

BACKGROUND/

objectivesObesity and diabetes rates are high in Native Hawaiians (NHs) who commonly have mixed ancestries. People of Asian ancestry experience a high risk of type 2 diabetes despite the relatively low body weight. We evaluated the impact of ethnic admixture on diabetes risk among NHs in the Multiethnic Cohort (MEC). SUBJECTS/

methodsOn the basis of self-reports, 11 521 eligible men and women were categorized into NH/white, NH/other, NH alone, NH/Asian and the most common three ancestry admixture, NH/Chinese/white. Cox proportional hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated with the NH/white category as the reference group; covariates included known confounders-that is, body mass index (BMI), dietary and other lifestyle factors.

resultsThe NH alone category had the highest proportion of overweight and obese individuals and the NH/Asian category the lowest proportion. During 12 years of follow-up after cohort entry at 56 years, 2072 incident cases were ascertained through questionnaires and health plan linkages. All NH categories had higher HRs than the NH/white category before and after adjustment for BMI. In the fully adjusted models, the NH/Asian category showed the highest risk (HR=1.45; 95% CI: 1.27-1.65), followed by NH/other (HR=1.20; 95% CI: 1.03-1.39), NH/Chinese/white (HR=1.19; 95% CI: 1.04-1.37) and NH alone (HR=1.19; 95% CI: 1.03-1.37). The elevated risk by Asian admixture was more pronounced in normal weight than overweight/obese individuals.

conclusionsThese findings indicate that Asian admixture in NHs is associated with a higher risk for type 2 diabetes independent of known risk factors and suggest a role for ethnicity-related genetic factors in the development of this disease.

Indexed as

AsianNative Hawaiian or Pacific IslanderWhite PeopleAgedBody Mass IndexChinaCohort StudiesDiabetes Mellitus, Type 2DietFemaleGenetic Predisposition to DiseaseHawaiiHumansLife StyleMaleMiddle Aged

Identifiers

PMID27026423
PMCPMC5014576
OpenAlexW2329339334

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Registered trials

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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.