Literature DB >> 19154954

Combined hyperlipidemia in relation to race/ethnicity, obesity, and insulin resistance in the Multi-Ethnic Study of Atherosclerosis.

Pathmaja Paramsothy1, Robert Knopp, Alain G Bertoni, Michael Y Tsai, Tessa Rue, Susan R Heckbert.   

Abstract

We have asked whether the prevalence of combined hyperlipidemia (CHL) differs by race/ethnicity, obesity, and insulin resistance in a contemporary, multiethnic, US cohort. We determined the prevalence and adjusted odds of CHL in a cohort of 5923 men and women free of clinically recognized cardiovascular disease and diabetes according to race/ethnicity (white, Chinese, African American, and Hispanic), obesity, and insulin resistance. Untreated lipid values were imputed for those on lipid-lowering therapy. Combined hyperlipidemia was defined using age- and sex-specific greater than or equal to 75th percentile cut points for low-density lipoprotein cholesterol and triglycerides obtained from a predominantly white North American population study. Compared with whites, adjusted odds ratios for CHL were 0.48 in African Americans (95% confidence interval [CI], 0.30-0.75), 1.33 in Hispanics (95% CI, 0.93-1.91), and 1.06 in Asians (95% CI, 0.62-1.82). Within the entire population, the adjusted odds of CHL were over 2-fold higher in overweight and obese participants compared with normal-weight participants and more than 4-fold higher in quartiles 2 through 4 of insulin resistance compared with quartile 1. African Americans had lower odds for CHL than whites despite higher body mass index and abdominal adiposity. Hispanics had a nonsignificantly higher trend, and Asians had no significantly different odds than whites. Modest increases in weight and insulin resistance were associated with significantly higher odds of CHL in a multiethnic US population. Further research is needed to determine the most efficacious diet, exercise, and drug management to decrease the risk of CHL and coronary heart disease among racial/ethnic groups in the United States.

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Year:  2009        PMID: 19154954      PMCID: PMC2677914          DOI: 10.1016/j.metabol.2008.09.016

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  33 in total

1.  Defects of insulin action on fatty acid and carbohydrate metabolism in familial combined hyperlipidemia.

Authors:  T J Aitman; I F Godsland; B Farren; D Crook; H J Wong; J Scott
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3.  Myocardial infarction in the familial forms of hypertriglyceridemia.

Authors:  J D Brunzell; H G Schrott; A G Motulsky; E L Bierman
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4.  Nonobese patients with familial combined hyperlipidemia are insulin resistant compared with their nonaffected relatives.

Authors:  S J Bredie; C J Tack; P Smits; A F Stalenhoef
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5.  Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

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6.  Impaired fatty acid metabolism in familial combined hyperlipidemia. A mechanism associating hepatic apolipoprotein B overproduction and insulin resistance.

Authors:  M Castro Cabezas; T W de Bruin; H W de Valk; C C Shoulders; H Jansen; D Willem Erkelens
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7.  Modification of the relationship between simple anthropometric indices and risk factors by ethnic background.

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8.  Hyperlipidemia in coronary heart disease. II. Genetic analysis of lipid levels in 176 families and delineation of a new inherited disorder, combined hyperlipidemia.

Authors:  J L Goldstein; H G Schrott; W R Hazzard; E L Bierman; A G Motulsky
Journal:  J Clin Invest       Date:  1973-07       Impact factor: 14.808

9.  Nomogram to diagnose familial combined hyperlipidemia on the basis of results of a 5-year follow-up study.

Authors:  Mario J Veerkamp; Jacqueline de Graaf; Jan C M Hendriks; Pierre N M Demacker; Anton F H Stalenhoef
Journal:  Circulation       Date:  2004-06-07       Impact factor: 29.690

10.  Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study.

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  13 in total

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3.  Carotid artery intima-media thickness in college students: race/ethnicity matters.

Authors:  Carrie V Breton; Xinhui Wang; Wendy J Mack; Kiros Berhane; Milena Lopez; Talat S Islam; Mei Feng; Howard N Hodis; Nino Künzli; Ed Avol
Journal:  Atherosclerosis       Date:  2011-05-27       Impact factor: 5.162

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5.  Univariate and bivariate linkage analysis identifies pleiotropic loci underlying lipid levels and type 2 diabetes risk.

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Review 6.  Pathogenesis of Lipid Disorders in Insulin Resistance: a Brief Review.

Authors:  Petter Bjornstad; Robert H Eckel
Journal:  Curr Diab Rep       Date:  2018-10-17       Impact factor: 4.810

7.  Identification of two common variants contributing to serum apolipoprotein B levels in Mexicans.

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Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-12-03       Impact factor: 8.311

Review 8.  A systematic review of overweight, obesity, and type 2 diabetes among Asian American subgroups.

Authors:  Lisa R Staimez; Mary Beth Weber; K M Venkat Narayan; Reena Oza-Frank
Journal:  Curr Diabetes Rev       Date:  2013-07

9.  Effects of Evolocumab on Low-Density Lipoprotein Cholesterol, Non-High Density Lipoprotein Cholesterol, Apolipoprotein B, and Lipoprotein(a) by Race and Ethnicity: A Meta-Analysis of Individual Participant Data From Double-Blind and Open-Label Extension Studies.

Authors:  Martha L Daviglus; Keith C Ferdinand; J Antonio G López; You Wu; Maria Laura Monsalvo; Carlos J Rodriguez
Journal:  J Am Heart Assoc       Date:  2020-12-16       Impact factor: 5.501

10.  Variation in APOL1 Contributes to Ancestry-Level Differences in HDLc-Kidney Function Association.

Authors:  Amy Rebecca Bentley; Ayo P Doumatey; Guanjie Chen; Hanxia Huang; Jie Zhou; Daniel Shriner; Congqing Jiang; Zhenjian Zhang; Guozheng Liu; Olufemi Fasanmade; Thomas Johnson; Johnnie Oli; Godfrey Okafor; Benjamin A Eghan; Kofi Agyenim-Boateng; Jokotade Adeleye; Williams Balogun; Clement Adebamowo; Albert Amoah; Joseph Acheampong; Adebowale Adeyemo; Charles N Rotimi
Journal:  Int J Nephrol       Date:  2012-09-02
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