Literature DB >> 20708390

Racial/ethnic discrepancies in the metabolic syndrome begin in childhood and persist after adjustment for environmental factors.

S E Walker1, M J Gurka, M N Oliver, D W Johns, M D DeBoer.   

Abstract

BACKGROUND AND AIMS: Evaluation of metabolic syndrome (MetS) characteristics across an age spectrum from childhood to adulthood has been limited by a lack of consistent MetS criteria for children and adults and by a lack of adjustment for environmental factors. We used the pediatric and adult International Diabetes Federation (IDF) criteria to determine whether gender-specific and race-specific differences in MetS and its components are present in adolescents as in adults after adjustment for socio-economic status (SES) and lifestyle factors. METHODS AND
RESULTS: Waist circumference, blood pressure, triglycerides, HDL cholesterol, and fasting glucose measures were obtained from 3100 adolescent (12-19 years) and 3419 adult (20-69 years) non-Hispanic white, non-Hispanic black, and Mexican-American participants of the 1999-2006 National Health and Nutrition Examination Surveys. We compared odds of having MetS and its components across racial/ethnic groups by age group, while adjusting for income, education, physical activity and diet quality. After adjusting for possible confounding influences of SES and lifestyle, non-Hispanic-black adolescent males exhibited a lower odds of MetS and multiple components (abdominal obesity, hypertriglyceridemia, low HDL, hyperglycemia) compared to non-Hispanic-white and Mexican-American adolescents. Compared to non-Hispanic-white adolescent males, Mexican-American adolescent males had less hypertension. There were no differences in MetS prevalence among adolescent females, though non-Hispanic-black girls exhibited less hypertriglyceridemia.
CONCLUSION: Racial/ethnicity-specific differences in MetS and its components are present in both adolescence and adulthood, even after adjusting for environmental factors. These data help strengthen arguments for developing racial/ethnic-specific MetS criteria to better identify individuals at risk for future cardiovascular disease.
Copyright © 2010 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20708390      PMCID: PMC2988107          DOI: 10.1016/j.numecd.2010.05.006

Source DB:  PubMed          Journal:  Nutr Metab Cardiovasc Dis        ISSN: 0939-4753            Impact factor:   4.222


  31 in total

1.  Discovering the full spectrum of cardiovascular disease: Minority Health Summit 2003: executive summary.

Authors:  Clyde W Yancy; Emelia J Benjamin; Rosalind P Fabunmi; Robert O Bonow
Journal:  Circulation       Date:  2005-03-15       Impact factor: 29.690

2.  Ethnic differences in the ability of triglyceride levels to identify insulin resistance.

Authors:  Anne E Sumner; Catherine C Cowie
Journal:  Atherosclerosis       Date:  2007-01-24       Impact factor: 5.162

3.  Sensitivity, specificity, and predictive values of pediatric metabolic syndrome components in relation to adult metabolic syndrome: the Princeton LRC follow-up study.

Authors:  Terry T-K Huang; Tonja R Nansel; Allen R Belsheim; John A Morrison
Journal:  J Pediatr       Date:  2007-10-22       Impact factor: 4.406

Review 4.  Metabolic syndrome--a new world-wide definition. A Consensus Statement from the International Diabetes Federation.

Authors:  K G M M Alberti; P Zimmet; J Shaw
Journal:  Diabet Med       Date:  2006-05       Impact factor: 4.359

5.  Metabolic syndrome in childhood predicts adult metabolic syndrome and type 2 diabetes mellitus 25 to 30 years later.

Authors:  John A Morrison; Lisa Aronson Friedman; Ping Wang; Charles J Glueck
Journal:  J Pediatr       Date:  2007-11-05       Impact factor: 4.406

6.  Susceptibility locus for clinical and subclinical coronary artery disease at chromosome 9p21 in the multi-ethnic ADVANCE study.

Authors:  Themistocles L Assimes; Joshua W Knowles; Analabha Basu; Carlos Iribarren; Audrey Southwick; Hua Tang; Devin Absher; Jun Li; Joan M Fair; Geoffrey D Rubin; Stephen Sidney; Stephen P Fortmann; Alan S Go; Mark A Hlatky; Richard M Myers; Neil Risch; Thomas Quertermous
Journal:  Hum Mol Genet       Date:  2008-04-28       Impact factor: 6.150

7.  Childhood predictors of young-onset type 2 diabetes.

Authors:  Paul W Franks; Robert L Hanson; William C Knowler; Carol Moffett; Gleebah Enos; Aniello M Infante; Jonathan Krakoff; Helen C Looker
Journal:  Diabetes       Date:  2007-08-24       Impact factor: 9.461

8.  Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), 2001-2006.

Authors:  William D Johnson; Jolanda J M Kroon; Frank L Greenway; Claude Bouchard; Donna Ryan; Peter T Katzmarzyk
Journal:  Arch Pediatr Adolesc Med       Date:  2009-04

9.  High body mass index for age among US children and adolescents, 2003-2006.

Authors:  Cynthia L Ogden; Margaret D Carroll; Katherine M Flegal
Journal:  JAMA       Date:  2008-05-28       Impact factor: 56.272

10.  Dietary patterns and markers for the metabolic syndrome in Australian adolescents.

Authors:  G L Ambrosini; R-C Huang; T A Mori; B P Hands; T A O'Sullivan; N H de Klerk; L J Beilin; W H Oddy
Journal:  Nutr Metab Cardiovasc Dis       Date:  2009-09-12       Impact factor: 4.222

View more
  63 in total

1.  Geographical variation in the prevalence of obesity and metabolic syndrome among US adolescents.

Authors:  M D DeBoer; S L Filipp; M J Gurka
Journal:  Pediatr Obes       Date:  2018-12-04       Impact factor: 4.000

2.  The severity of the metabolic syndrome increases over time within individuals, independent of baseline metabolic syndrome status and medication use: The Atherosclerosis Risk in Communities Study.

Authors:  Abhishek Vishnu; Matthew J Gurka; Mark D DeBoer
Journal:  Atherosclerosis       Date:  2015-09-21       Impact factor: 5.162

3.  Risk of Ischemic Stroke Increases Over the Spectrum of Metabolic Syndrome Severity.

Authors:  Mark D DeBoer; Stephanie L Filipp; Mario Sims; Solomon K Musani; Matthew J Gurka
Journal:  Stroke       Date:  2020-06-19       Impact factor: 7.914

4.  Racial/ethnic and sex differences in the relationship between uric acid and metabolic syndrome in adolescents: an analysis of National Health and Nutrition Survey 1999-2006.

Authors:  Mark D DeBoer; Lili Dong; Matthew J Gurka
Journal:  Metabolism       Date:  2011-10-13       Impact factor: 8.694

5.  Ethnic differences in the link between insulin resistance and elevated ALT.

Authors:  Mark D Deboer; R Constance Wiener; Barrett H Barnes; Matthew J Gurka
Journal:  Pediatrics       Date:  2013-08-12       Impact factor: 7.124

6.  Interethnic Variation in Lipid Profiles: Implications for Underidentification of African-Americans at risk for Metabolic Disorders.

Authors:  Amy R Bentley; Charles N Rotimi
Journal:  Expert Rev Endocrinol Metab       Date:  2014-01-10

7.  Racial/ethnic and immigrant differences in early childhood diet quality.

Authors:  Marieke L A de Hoog; Ken P Kleinman; Matthew W Gillman; Tanja G M Vrijkotte; Manon van Eijsden; Elsie M Taveras
Journal:  Public Health Nutr       Date:  2013-05-07       Impact factor: 4.022

8.  Metabolic syndrome is common and persistent in youth-onset type 2 diabetes: Results from the TODAY clinical trial.

Authors:  Ruth S Weinstock; Kimberly L Drews; Sonia Caprio; Natasha I Leibel; Siripoom Vudhipoom McKay; Philip S Zeitler
Journal:  Obesity (Silver Spring)       Date:  2015-06-05       Impact factor: 5.002

9.  Severity of the metabolic syndrome as a predictor of type 2 diabetes between childhood and adulthood: the Princeton Lipid Research Cohort Study.

Authors:  Mark D DeBoer; Matthew J Gurka; Jessica G Woo; John A Morrison
Journal:  Diabetologia       Date:  2015-09-17       Impact factor: 10.122

10.  Insulin-like growth factor-I and insulin-like growth factor binding protein-1 are related to cardiovascular disease biomarkers in obese adolescents.

Authors:  Lorraine E Levitt Katz; Kevin A Gralewski; Pamela Abrams; Preneet C Brar; Paul R Gallagher; Terri H Lipman; Lee J Brooks; Dorit Koren
Journal:  Pediatr Diabetes       Date:  2014-12-10       Impact factor: 4.866

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.