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Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort
BACKGROUND/OBJECTIVES: Obesity and diabetes rates are high in Native Hawaiians (NH) who commonly have mixed ancestries. Persons 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 NH in...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014576/ https://www.ncbi.nlm.nih.gov/pubmed/27026423 http://dx.doi.org/10.1038/ejcn.2016.32 |
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author | Maskarinec, Gertraud Morimoto, Yukiko Jacobs, Simone Grandinetti, Andrew Mau, Marjorie K. Kolonel, Laurence N. |
author_facet | Maskarinec, Gertraud Morimoto, Yukiko Jacobs, Simone Grandinetti, Andrew Mau, Marjorie K. Kolonel, Laurence N. |
author_sort | Maskarinec, Gertraud |
collection | PubMed |
description | BACKGROUND/OBJECTIVES: Obesity and diabetes rates are high in Native Hawaiians (NH) who commonly have mixed ancestries. Persons 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 NH in the Multiethnic Cohort (MEC). METHODS/SUBJECTS: Based on 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, i.e., body mass index (BMI), dietary and other life-style factors. RESULTS: The 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, 2,072 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 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. CONCLUSIONS: These findings indicate that Asian admixture in NHs is associated with 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. |
format | Online Article Text |
id | pubmed-5014576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-50145762016-09-30 Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort Maskarinec, Gertraud Morimoto, Yukiko Jacobs, Simone Grandinetti, Andrew Mau, Marjorie K. Kolonel, Laurence N. Eur J Clin Nutr Article BACKGROUND/OBJECTIVES: Obesity and diabetes rates are high in Native Hawaiians (NH) who commonly have mixed ancestries. Persons 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 NH in the Multiethnic Cohort (MEC). METHODS/SUBJECTS: Based on 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, i.e., body mass index (BMI), dietary and other life-style factors. RESULTS: The 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, 2,072 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 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. CONCLUSIONS: These findings indicate that Asian admixture in NHs is associated with 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. 2016-03-30 2016-09 /pmc/articles/PMC5014576/ /pubmed/27026423 http://dx.doi.org/10.1038/ejcn.2016.32 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Maskarinec, Gertraud Morimoto, Yukiko Jacobs, Simone Grandinetti, Andrew Mau, Marjorie K. Kolonel, Laurence N. Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort |
title | Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort |
title_full | Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort |
title_fullStr | Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort |
title_full_unstemmed | Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort |
title_short | Ethnic Admixture Affects Diabetes Risk in Native Hawaiians: The Multiethnic Cohort |
title_sort | ethnic admixture affects diabetes risk in native hawaiians: the multiethnic cohort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014576/ https://www.ncbi.nlm.nih.gov/pubmed/27026423 http://dx.doi.org/10.1038/ejcn.2016.32 |
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