Literature DB >> 26268091

PREVALENCE OF METABOLIC SYNDROME AMONG ADOLESCENTS IN A CITY IN THE MEDITERRANEAN AREA: COMPARISON OF TWO DEFINITIONS.

Rafael Galera-Martínez1, Emilio García-García2, M Ángeles Vázquez-López3, María Ortiz-Pérez4, Ana Mar Ruiz-Sánchez5, Manuel Martín-González6, Pablo Garrido-Fernández7, Antonio Bonillo-Perales8.   

Abstract

BACKGROUND AND
OBJECTIVE: there are few studies on the prevalence of metabolic syndrome (MetS) in European adolescent populations, and some have reported a higher prevalence in the Mediterranean basin area. Our objective was to examine the prevalence of MetS in adolescents in a Mediterranean city of Spain, comparing two different definitions of MetS and the associated risk factors. METHODS AND
RESULTS: a cross-sectional population-based study was conducted among 379 adolescents aged 12-16.9 years, selected using a random sampling method. Anthropometric measurements and fasting blood samples were obtained. The definitions of MetS used were that of the National Cholesterol Education Program's Adult Treatment Panel III (NCEP-ATPIII) and that of the International Diabetes Federation (IDF). Kappa coefficient was used to measure the agreement between definitions and a multivariate logistic regression model to determine the associated risk factors.
RESULTS: the prevalence of MetS was 5.7% (95%CI 3.33-8.07) according to the NCEP-ATPIII definition and 3.8% (95%CI 1.85-5.75) according to the IDF definition. No differences between the sexes or by age groups were found. The agreement between the two definitions was very good (kappa 0.815), especially in the obese subsample, but was lower in normal weight adolescents (kappa 0.497). Insulin resistance and obesity were associated with both definitions.
CONCLUSIONS: the prevalence of MetS in our adolescent population is higher than the European media. Although the overall agreement between both definitions was very good, the prevalence was higher using the NCEP-ATPIII criteria. Independently of the definition used, obesity and insulin resistance were risk factors for MetS. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

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Year:  2015        PMID: 26268091     DOI: 10.3305/nh.2015.32.2.9278

Source DB:  PubMed          Journal:  Nutr Hosp        ISSN: 0212-1611            Impact factor:   1.057


  4 in total

1.  Comparison between different criteria for metabolic syndrome in schoolchildren from southern Brazil.

Authors:  Cézane Priscila Reuter; Miria Suzana Burgos; Cláudia Daniela Barbian; Jane Dagmar Pollo Renner; Silvia Isabel Rech Franke; Elza Daniel de Mello
Journal:  Eur J Pediatr       Date:  2018-07-04       Impact factor: 3.183

2.  Prevalence of metabolic syndrome and its components in Brazilian adolescents: a systematic review and meta-analysis.

Authors:  Miguel Henrique Pereira de Paiva; Valberto Alencar Miranda Filho; Ana Raquel Soares de Oliveira; Kyria Jayanne Clímaco Cruz; Regina Maria Sousa de Araújo; Karla Andrade de Oliveira
Journal:  Rev Paul Pediatr       Date:  2022-07-06

3.  High prevalence of undiagnosed comorbidities among adolescents with obesity.

Authors:  Karen S W Leong; Thilini N Jayasinghe; Brooke C Wilson; José G B Derraik; Benjamin B Albert; Valentina Chiavaroli; Darren M Svirskis; Kathryn L Beck; Cathryn A Conlon; Yannan Jiang; William Schierding; Tommi Vatanen; David J Holland; Justin M O'Sullivan; Wayne S Cutfield
Journal:  Sci Rep       Date:  2020-11-18       Impact factor: 4.379

Review 4.  The prevalence of pediatric metabolic syndrome-a critical look on the discrepancies between definitions and its clinical importance.

Authors:  Carolin Reisinger; Benedicta N Nkeh-Chungag; Per Morten Fredriksen; Nandu Goswami
Journal:  Int J Obes (Lond)       Date:  2020-11-18       Impact factor: 5.095

  4 in total

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