Literature DB >> 8637443

Clustering of dyslipidemia, hyperuricemia, diabetes, and hypertension and its association with fasting insulin and central and overall obesity in a general population. Atherosclerosis Risk in Communities Study Investigators.

M I Schmidt1, R L Watson, B B Duncan, P Metcalf, F L Brancati, A R Sharrett, C E Davis, G Heiss.   

Abstract

Clustering of elevated triglycerides, decreased high-density lipoprotein cholesterol (HDL-C), hyperuricemia, diabetes, and hypertension has been related to insulin resistance/high insulin levels and central and/or overall obesity. The extent to which these abnormalities cluster and whether hyperinsulinemia, central adiposity, and overall obesity each independently associate with this clustering were evaluated in 14,481 US whites and African-Americans 45 to 64 years of age. With the exception of hypertension, abnormalities rarely existed in isolated form. Clustering greatly exceeded chance association (P < .001). Although this clustering was greater in relative terms (ratio of observed to expected cluster frequency) in the lean and less centrally obese, it was greater in absolute terms (observed minus expected cluster frequency as a percent of total population) in the more centrally and more generally obese. The greatest excesses were found for clusters that included both hypertriglyceridemia and low HDL-C. Multiple logistic regression models showed strong and independent graded relationships of clusters with quintiles of fasting insulin (fifth quintile odds ratio, 10 to 54, P < .001) and to a lesser degree with quintiles of the waist to hip ratio (2.2 to 5.4, P < .001 for most) and of body mass index (1.6 to 4.5, P < .05 for most). In conclusion, all abnormalities cluster in excess of that predicted by chance, with clusters showing remarkable and graded independent associations with fasting hyperinsulinemia and to a lesser extent with central and overall obesity. Thus, a metabolic syndrome occurs in both lean and obese middle-aged US adults.

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Year:  1996        PMID: 8637443     DOI: 10.1016/s0026-0495(96)90134-1

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


  49 in total

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2.  Glycated hemoglobin and cancer incidence and mortality in the Atherosclerosis in Communities (ARIC) Study, 1990-2006.

Authors:  Corinne E Joshu; Anna E Prizment; Paul J Dluzniewski; Andy Menke; Aaron R Folsom; Josef Coresh; Hsin C Yeh; Frederick L Brancati; Elizabeth A Platz; Elizabeth Selvin
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Review 3.  Effects of dietary protein intake on body composition changes after weight loss in older adults: a systematic review and meta-analysis.

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5.  Hyperlipidaemia in hyperuricaemia and gout.

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Authors:  Y-F Chiu; L-M Chuang; H-Y Kao; L-T Ho; C-T Ting; Y-J Hung; Y-D Chen; T Donlon; J D Curb; T Quertermous; C A Hsiung
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Review 7.  Epidemiology of the insulin resistance syndrome.

Authors:  James B Meigs
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8.  Heritabilities of the metabolic syndrome and its components in the Northern Manhattan Family Study.

Authors:  H-F Lin; B Boden-Albala; S H Juo; N Park; T Rundek; R L Sacco
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Review 9.  The metabolic syndrome: time for a critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.

Authors:  R Kahn; J Buse; E Ferrannini; M Stern
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10.  Hypertension and combinations of cardiovascular risk factors. An epidemiologic case-control study in an adult population in Guadeloupe (FWI).

Authors:  L Foucan; J Bangou-Brédent; D K Ekouévi; J Deloumeaux; J E Roset; P Kangambega
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