Literature DB >> 18456683

Prevalence of metabolic syndrome at age 16 using the International Diabetes Federation paediatric definition.

J Pirkola1, T Tammelin, A Bloigu, A Pouta, J Laitinen, A Ruokonen, P Tapanainen, M-R Järvelin, M Vääräsmäki.   

Abstract

OBJECTIVE: We estimated the prevalence of metabolic syndrome (MS) in adolescents, using the new International Diabetes Federation (IDF) paediatric definition and compared this with prevalence estimated using the IDF adult definition and five other previously published definitions.
DESIGN: Cross-sectional survey in the prospective general population-based Northern Finland Birth Cohort 1986 (NFBC 1986) at age 16 years.
SETTING: Birth cohort in Finland. PARTICIPANTS: 5665 adolescents (2862 males and 2803 females) clinically examined in 2001-2002. MAIN OUTCOME MEASURES: The prevalence of MS using different definitions.
RESULTS: The overall prevalence of MS using the IDF paediatric definition was 2.4% (95% CI 2.0 to 2.8%) at the age of 16 years. Using the IDF adult definition the overall prevalence was lower, 1.7% (CI 1.3 to 2.0%, European cut-offs for waist circumference) and 1.0% (CI 0.7 to 1.3%, North American cut-offs).
CONCLUSION: In 16-year-old adolescents, the paediatric IDF definition rendered a higher prevalence estimate than the adult definition.

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Year:  2008        PMID: 18456683     DOI: 10.1136/adc.2007.132951

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  9 in total

1.  Does sleep duration predict metabolic risk in obese adolescents attending tertiary services? A cross-sectional study.

Authors:  Valerie Sung; Dean W Beebe; Rhonda Vandyke; Matthew C Fenchel; Nancy A Crimmins; Shelley Kirk; Harriet Hiscock; Raouf Amin; Melissa Wake
Journal:  Sleep       Date:  2011-07-01       Impact factor: 5.849

2.  The absence of insulin resistance in metabolic syndrome definition leads to underdiagnosing of metabolic risk in obese patients.

Authors:  Selim Kurtoglu; Leyla Akin; Mustafa Kendirci; Nihal Hatipoglu; Ferhan Elmali; Mümtaz Mazicioglu
Journal:  Eur J Pediatr       Date:  2012-03-28       Impact factor: 3.183

3.  Incidence and trend of a metabolic syndrome phenotype among Tehranian adolescents: findings from the Tehran Lipid and Glucose Study, 1998-2001 to 2003-2006.

Authors:  Mohammad Afkhami-Ardekani; Saleh Zahedi-Asl; Maryam Rashidi; Mitra Atifah; Farhad Hosseinpanah; Fereidoun Azizi
Journal:  Diabetes Care       Date:  2010-06-02       Impact factor: 17.152

4.  Behind and beyond the pediatric metabolic syndrome.

Authors:  Paolo Brambilla; Angelo Pietrobelli
Journal:  Ital J Pediatr       Date:  2009-12-22       Impact factor: 2.638

5.  Metabolic syndrome in the pediatric population: a short overview.

Authors:  Natasa Marcun Varda; Alojz Gregoric
Journal:  Pediatr Rep       Date:  2009-06-08

6.  High cardiometabolic risk in healthy Chilean adolescents: associations with anthropometric, biological and lifestyle factors.

Authors:  Raquel Burrows; Paulina Correa-Burrows; Marcela Reyes; Estela Blanco; Cecilia Albala; Sheila Gahagan
Journal:  Public Health Nutr       Date:  2015-05-20       Impact factor: 4.022

7.  Association between obesity and metabolic co-morbidities among children and adolescents in South Korea based on national data.

Authors:  Hyunjung Lim; Hong Xue; Youfa Wang
Journal:  BMC Public Health       Date:  2014-03-25       Impact factor: 3.295

8.  Pediatric siMS score: A new, simple and accurate continuous metabolic syndrome score for everyday use in pediatrics.

Authors:  Rade Vukovic; Tatjana Milenkovic; George Stojan; Ana Vukovic; Katarina Mitrovic; Sladjana Todorovic; Ivan Soldatovic
Journal:  PLoS One       Date:  2017-12-06       Impact factor: 3.240

Review 9.  Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome.

Authors:  Helen H Wang; Dong Ki Lee; Min Liu; Piero Portincasa; David Q-H Wang
Journal:  Pediatr Gastroenterol Hepatol Nutr       Date:  2020-05-08
  9 in total

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