Literature DB >> 20921439

Pediatric metabolic syndrome predicts adulthood metabolic syndrome, subclinical atherosclerosis, and type 2 diabetes mellitus but is no better than body mass index alone: the Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study.

Costan G Magnussen1, Juha Koskinen, Wei Chen, Russell Thomson, Michael D Schmidt, Sathanur R Srinivasan, Mika Kivimäki, Noora Mattsson, Mika Kähönen, Tomi Laitinen, Leena Taittonen, Tapani Rönnemaa, Jorma S A Viikari, Gerald S Berenson, Markus Juonala, Olli T Raitakari.   

Abstract

BACKGROUND: The clinical utility of identifying pediatric metabolic syndrome (MetS) is controversial. This study sought to determine the status of pediatric MetS as a risk factor for adult subclinical atherosclerosis (carotid intima-media thickness [cIMT]) and type 2 diabetes mellitus (T2DM) and compare and contrast this prediction with its individual components. METHODS AND
RESULTS: Using data from the population-based, prospective, observational Bogalusa Heart and Cardiovascular Risk in Young Finns studies, we examined the utility of 4 categorical definitions of youth MetS and their components in predicting adult high cIMT and T2DM among 1781 participants aged 9 to 18 years at baseline (1984 to 1988) who were then examined 14 to 27 years later (2001-2007) when aged 24 to 41 years. Youth with MetS were at 2 to 3 times the risk of having high cIMT and T2DM as adults compared with those free of MetS at youth. Risk estimates with the use of high body mass index were similar to those of MetS phenotypes in predicting adult outcomes. Comparisons of area under the receiver operating characteristic curve and net reclassification index suggested that prediction of adult MetS, high cIMT, and T2DM in adulthood with the use of youth MetS was either equivalent or inferior to classification based on high body mass index or overweight and obesity.
CONCLUSIONS: Youth with MetS are at increased risk of meaningful adult outcomes; however, the simplicity of screening for high BMI or overweight and obesity in the pediatric setting offers a simpler, equally accurate alternative to identifying youth at risk of developing adult MetS, high cIMT, or T2DM.

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Year:  2010        PMID: 20921439      PMCID: PMC3388503          DOI: 10.1161/CIRCULATIONAHA.110.940809

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  33 in total

1.  Metabolic syndrome in childhood predicts adult cardiovascular disease 25 years later: the Princeton Lipid Research Clinics Follow-up Study.

Authors:  John A Morrison; Lisa Aronson Friedman; Courtney Gray-McGuire
Journal:  Pediatrics       Date:  2007-08       Impact factor: 7.124

2.  Cohort profile: the cardiovascular risk in Young Finns Study.

Authors:  Olli T Raitakari; Markus Juonala; Tapani Rönnemaa; Liisa Keltikangas-Järvinen; Leena Räsänen; Matti Pietikäinen; Nina Hutri-Kähönen; Leena Taittonen; Eero Jokinen; Jukka Marniemi; Antti Jula; Risto Telama; Mika Kähönen; Terho Lehtimäki; Hans K Akerblom; Jorma S A Viikari
Journal:  Int J Epidemiol       Date:  2008-02-08       Impact factor: 7.196

3.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

4.  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

5.  Progress and challenges in metabolic syndrome in children and adolescents: a scientific statement from the American Heart Association Atherosclerosis, Hypertension, and Obesity in the Young Committee of the Council on Cardiovascular Disease in the Young; Council on Cardiovascular Nursing; and Council on Nutrition, Physical Activity, and Metabolism.

Authors:  Julia Steinberger; Stephen R Daniels; Robert H Eckel; Laura Hayman; Robert H Lustig; Brian McCrindle; Michele L Mietus-Snyder
Journal:  Circulation       Date:  2009-01-12       Impact factor: 29.690

Review 6.  Tracking of blood pressure from childhood to adulthood: a systematic review and meta-regression analysis.

Authors:  Xiaoli Chen; Youfa Wang
Journal:  Circulation       Date:  2008-06-16       Impact factor: 29.690

7.  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

8.  Laboratory-based versus non-laboratory-based method for assessment of cardiovascular disease risk: the NHANES I Follow-up Study cohort.

Authors:  Thomas A Gaziano; Cynthia R Young; Garrett Fitzmaurice; Sidney Atwood; J Michael Gaziano
Journal:  Lancet       Date:  2008-03-15       Impact factor: 79.321

Review 9.  Lipid screening and cardiovascular health in childhood.

Authors:  Stephen R Daniels; Frank R Greer
Journal:  Pediatrics       Date:  2008-07       Impact factor: 7.124

Review 10.  On the use of a continuous metabolic syndrome score in pediatric research.

Authors:  Joey C Eisenmann
Journal:  Cardiovasc Diabetol       Date:  2008-06-05       Impact factor: 9.951

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  75 in total

1.  Atherogenic dyslipidemia and cardiovascular risk in children with nonalcoholic fatty liver disease.

Authors:  Naim Alkhouri; Christine Carter-Kent; Michael Elias; Ariel E Feldstein
Journal:  Clin Lipidol       Date:  2011-06-01

2.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

3.  Cohort Profile: the international childhood cardiovascular cohort (i3C) consortium.

Authors:  Terence Dwyer; Cong Sun; Costan G Magnussen; Olli T Raitakari; Nicholas J Schork; Alison Venn; Trudy L Burns; Markus Juonala; Julia Steinberger; Alan R Sinaiko; Ronald J Prineas; Patricia H Davis; Jessica G Woo; John A Morrison; Stephen R Daniels; Wei Chen; Sathanur R Srinivasan; Jorma Sa Viikari; Gerald S Berenson
Journal:  Int J Epidemiol       Date:  2012-03-20       Impact factor: 7.196

4.  Overweight adolescents' brain response to sweetened beverages mirrors addiction pathways.

Authors:  Sarah W Feldstein Ewing; Eric D Claus; Karen A Hudson; Francesca M Filbey; Elizabeth Yakes Jimenez; Krista M Lisdahl; Alberta S Kong
Journal:  Brain Imaging Behav       Date:  2017-08       Impact factor: 3.978

5.  Childhood risk factors predict cardiovascular disease, impaired fasting glucose plus type 2 diabetes mellitus, and high blood pressure 26 years later at a mean age of 38 years: the Princeton-lipid research clinics follow-up study.

Authors:  John A Morrison; Charles J Glueck; Ping Wang
Journal:  Metabolism       Date:  2011-10-14       Impact factor: 8.694

Review 6.  Metabolic syndrome and insulin resistance: underlying causes and modification by exercise training.

Authors:  Christian K Roberts; Andrea L Hevener; R James Barnard
Journal:  Compr Physiol       Date:  2013-01       Impact factor: 9.090

7.  Metabolic Risk Factors and Type 2 Diabetes Incidence in American Indian Children.

Authors:  Kevin M Wheelock; Madhumita Sinha; William C Knowler; Robert G Nelson; Gudeta D Fufaa; Robert L Hanson
Journal:  J Clin Endocrinol Metab       Date:  2016-02-25       Impact factor: 5.958

Review 8.  Heart disease and stroke statistics--2013 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; David Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Graham Nichol; Nina P Paynter; Pamela J Schreiner; Paul D Sorlie; Joel Stein; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2012-12-12       Impact factor: 29.690

Review 9.  Status of cardiovascular disease and stroke in Hispanics/Latinos in the United States: a science advisory from the American Heart Association.

Authors:  Carlos J Rodriguez; Matthew Allison; Martha L Daviglus; Carmen R Isasi; Colleen Keller; Enrique C Leira; Latha Palaniappan; Ileana L Piña; Sarah M Ramirez; Beatriz Rodriguez; Mario Sims
Journal:  Circulation       Date:  2014-07-14       Impact factor: 29.690

10.  NHLBI integrated pediatric guidelines: battle for a future free of cardiovascular disease.

Authors:  Justin P Zachariah; Sarah D de Ferranti
Journal:  Future Cardiol       Date:  2013-01
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