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Cited by 193Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic DiseasesObesity, Physical Activity, Diet

Abdominal Adiposity and Clustering of Multiple Metabolic Syndrome in White, Black and Hispanic Americans

Okosun, Ike S, Liao, Youlian, Rotimi, Charles N, Prewitt, T.Elaine, Cooper, Richard S·2000·Annals of Epidemiology
DOI 10.1016/s1047-2797(00)00045-4
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Abstract

Purpose The aim of this study was to evaluate the association of abdominal adiposity assessed by waist circumference (WC) with clustering of multiple metabolic syndromes (MMS) in White, Black and Hispanic Americans. MMS was defined as the occurrence of two or more of either hypertension, type 2 diabetes mellitus, dyslipidemia, hypertriglyceridemia or hyperinsulinemia.Methods The number of MMS and fasting insulin (a surrogate measure of MMS) were each used as dependent variables in gender-specific multiple linear regression models, adjusting for age, smoking and alcohol intake. The contribution of WC to interethnic differences in clustering of MMS and fasting insulin concentration was assessed in gender-specific linear regression models. The risk of MMS due to large waist was estimated by comparing odds ratio for men with WC >/= 102 cm with those with WC < 102, and women with WC >/= 88 cm with women with WC < 88 cm in the logistic regression model adjusting for age, smoking and alcohol intake.Results WC was positively and independently associated with clustering of MMS and increased fasting insulin concentration adjusting for age, smoking and alcohol intake in the three ethnic groups (p < 0.01). Black ethnicity was associated with clustering of MMS and fasting insulin concentration (p < 0.01). Hispanic ethnicity was also associated with clustering of MMS in men and associated with fasting insulin concentration in both men and women (p < 0.01). In both men and women, the risk of MMS clustering was strongly associated with increased WC in all ethnic groups independent of BMI.Conclusion WC appears to be a marker for multiple metabolic syndromes in these ethnic groups. The results of this investigation lend support to the view that waist measurement should be considered as a clinical variable for assessing the risk of cardiovascular diseases.

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Authors
Okosun, I. S., Liao, Y., Rotimi, C. N., Prewitt, T. E., & Cooper, R. S.
Affiliations
  • Mercer University (US)
  • Loyola University Medical Center (US)
  • Howard University (US)
Corresponding author
Okosun, Ike S
ORCID
Venue
Annals of Epidemiology
Publisher
Elsevier BV
Published
2000-07
Volume
10
Issue
5
Pages
263-270
ISSN
1047-2797 (ISSN-L)
DOI
10.1016/s1047-2797(00)00045-4
OpenAlex
W2142867253
Cited by
193
References
52
Citations by year
2024: 3 · 2022: 5 · 2021: 6 · 2020: 2 · 2019: 4 · 2018: 6 · 2017: 1 · 2016: 7 · 2015: 6 · 2014: 7 · 2013: 12 · 2012: 12
FWCI
5.32
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Annals of Epidemiology (publishedVersion)
  • PubMed (publishedVersion)
  • Civil War Book Review (submittedVersion)
Funders
National Heart, Lung, and Blood Institute (HL45508)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Keywords
abdominal fat, waist circumference, metabolic syndrome, fasting insulin, hyperinsulinemia, hypertension, type 2 diabetes, dyslipidemia, hypertriglyceridemia, ethnic differences, African Americans, Hispanic Americans, cardiovascular risk
MeSH terms
Abdomen, Adult, Aged, Analysis of Variance, Black or African American, Body Constitution, Diabetes Mellitus, Type 2, Female, Hispanic or Latino, Humans, Hyperinsulinism, Hyperlipidemias, Hypertension, Male, Middle Aged, Obesity, Predictive Value of Tests, Syndrome, United States, Hypertriglyceridemia, Body Mass Index, Odds Ratio, White People

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