Literature DB >> 28285655

Correlation of metabolic syndrome severity with cardiovascular health markers in adolescents.

Arthur M Lee1, Matthew J Gurka2, Mark D DeBoer3.   

Abstract

BACKGROUND AND OBJECTIVES: The presence of metabolic syndrome (MetS) in childhood is a significant risk factor for later cardiovascular disease (CVD). Recent data showed temporal decreases in a sex- and race/ethnicity-specific MetS severity z-score among U.S. adolescents. Our goal was to characterize the relationship of this MetS z-score with other CVD risk indicators and assess their temporal trends and lifestyle influences.
METHODS: We analyzed 4837 participants aged 12-20years from the National Health and Nutrition Examination Survey by 2-year waves from 1999 to 2012. We used linear regression to compare MetS z-score and dietary factors with serum levels of low-density lipoprotein (LDL), apolipoprotein-B (ApoB), high-sensitivity C-reactive protein (hsCRP) and uric acid.
RESULTS: MetS severity z-score was positively correlated with LDL, ApoB, hsCRP, and uric acid measurements (p<0.0001 for all). These correlations held true among individual racial/ethnic groups. LDL, ApoB, and hsCRP measurements decreased over time among U.S. adolescents (p=0.002, p<0.0001, and p=0.024, respectively). Saturated fat consumption was positively correlated with LDL (p=0.005) and ApoB (p=0.012) and inversely related to serum uric acid (p=0.001). Total caloric intake was inversely related to LDL (p=0.003) and serum uric acid (p=0.003). Unsaturated fat, carbohydrate, and protein consumption were not related to LDL, ApoB, hsCRP, or serum uric acid.
CONCLUSIONS: There is a positive correlation between MetS severity and all four CVD risk indicators studied. LDL, ApoB, and hsCRP showed favorable temporal trends, which could be related to similar trends in MetS z-score. These data support the importance of considering multiple inter-related factors in clinical CVD risk assessment.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Apo A; Cardiovascular disease; LDL; Metabolic syndrome; Uric acid

Mesh:

Substances:

Year:  2017        PMID: 28285655      PMCID: PMC5394425          DOI: 10.1016/j.metabol.2017.01.008

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


  55 in total

1.  Sedentary behavior, physical activity, and concentrations of insulin among US adults.

Authors:  Earl S Ford; Chaoyang Li; Guixiang Zhao; William S Pearson; James Tsai; James R Churilla
Journal:  Metabolism       Date:  2010-01-13       Impact factor: 8.694

2.  Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease.

Authors:  Patty W Siri-Tarino; Qi Sun; Frank B Hu; Ronald M Krauss
Journal:  Am J Clin Nutr       Date:  2010-01-13       Impact factor: 7.045

Review 3.  Obesity, systemic inflammation, and increased risk for cardiovascular disease and diabetes among adolescents: a need for screening tools to target interventions.

Authors:  Mark D DeBoer
Journal:  Nutrition       Date:  2012-09-28       Impact factor: 4.008

4.  Dietary sources of energy, solid fats, and added sugars among children and adolescents in the United States.

Authors:  Jill Reedy; Susan M Krebs-Smith
Journal:  J Am Diet Assoc       Date:  2010-10

5.  Prevalence of and trends in dyslipidemia and blood pressure among US children and adolescents, 1999-2012.

Authors:  Brian K Kit; Elena Kuklina; Margaret D Carroll; Yechiam Ostchega; David S Freedman; Cynthia L Ogden
Journal:  JAMA Pediatr       Date:  2015-03       Impact factor: 16.193

Review 6.  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:  Richard Kahn; John Buse; Ele Ferrannini; Michael Stern
Journal:  Diabetes Care       Date:  2005-09       Impact factor: 19.112

7.  Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010.

Authors:  Cynthia L Ogden; Margaret D Carroll; Brian K Kit; Katherine M Flegal
Journal:  JAMA       Date:  2012-01-17       Impact factor: 56.272

8.  Metabolic syndrome rates in United States adolescents, from the National Health and Nutrition Examination Survey, 1999-2002.

Authors:  Stephen Cook; Peggy Auinger; Chaoyang Li; Earl S Ford
Journal:  J Pediatr       Date:  2007-10-22       Impact factor: 4.406

9.  Reference intervals for plasma apolipoprotein B determined with a standardized commercial immunoturbidimetric assay: results from the Framingham Offspring Study.

Authors:  J H Contois; J R McNamara; C J Lammi-Keefe; P W Wilson; T Massov; E J Schaefer
Journal:  Clin Chem       Date:  1996-04       Impact factor: 8.327

Review 10.  The effects of fructose intake on serum uric acid vary among controlled dietary trials.

Authors:  D David Wang; John L Sievenpiper; Russell J de Souza; Laura Chiavaroli; Vanessa Ha; Adrian I Cozma; Arash Mirrahimi; Matthew E Yu; Amanda J Carleton; Marco Di Buono; Alexandra L Jenkins; Lawrence A Leiter; Thomas M S Wolever; Joseph Beyene; Cyril W C Kendall; David J A Jenkins
Journal:  J Nutr       Date:  2012-03-28       Impact factor: 4.798

View more
  7 in total

1.  Food Insecurity Is Associated with Prediabetes Risk Among U.S. Adolescents, NHANES 2003-2014.

Authors:  Arthur M Lee; Rebecca J Scharf; Stephanie L Filipp; Matthew J Gurka; Mark D DeBoer
Journal:  Metab Syndr Relat Disord       Date:  2019-07-10       Impact factor: 1.894

2.  Longitudinal Associations of Metabolic Syndrome Severity Between Childhood and Young Adulthood: The Bogalusa Heart Study.

Authors:  Linda X Wang; Stephanie L Filipp; Elaine M Urbina; Matthew J Gurka; Mark D DeBoer
Journal:  Metab Syndr Relat Disord       Date:  2018-03-27       Impact factor: 1.894

3.  Asymptomatic Hyperuricemia Associates with Cardiometabolic Risk Indicators in Overweight/Obese but Not in Lean Adolescents.

Authors:  Katarina Sebekova; Radana Gurecka; Ludmila Podracka
Journal:  Diabetes Metab Syndr Obes       Date:  2020-10-27       Impact factor: 3.168

4.  Use of BMI as the marker of adiposity in a metabolic syndrome severity score: Derivation and validation in predicting long-term disease outcomes.

Authors:  Matthew J Gurka; Stephanie L Filipp; Solomon K Musani; Mario Sims; Mark D DeBoer
Journal:  Metabolism       Date:  2018-02-02       Impact factor: 8.694

5.  Association of diet quality, physical activity, and abdominal obesity with metabolic syndrome z-score in black and white adolescents in the US.

Authors:  Suzanne S Summer; Todd Jenkins; Thomas Inge; Ranjan Deka; Jane C Khoury
Journal:  Nutr Metab Cardiovasc Dis       Date:  2021-11-06       Impact factor: 4.222

6.  Trajectory patterns for continuous metabolic syndrome score in childhood and the cardiovascular risk in adolescence.

Authors:  Eun Jeong Choi; Hye Ah Lee; Bomi Park; Bohyun Park; Hae Soon Kim; Young Sun Hong; Hyesook Park
Journal:  Sci Rep       Date:  2021-11-19       Impact factor: 4.379

7.  Effect of Sprint Interval Training on Cardiometabolic Biomarkers and Adipokine Levels in Adolescent Boys with Obesity.

Authors:  Marit Salus; Vallo Tillmann; Liina Remmel; Eve Unt; Evelin Mäestu; Ülle Parm; Agnes Mägi; Maie Tali; Jaak Jürimäe
Journal:  Int J Environ Res Public Health       Date:  2022-10-03       Impact factor: 4.614

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.