Literature DB >> 19056570

Prevalence and correlates of the metabolic syndrome in a population-based sample of European youth.

Ulf Ekelund1, Sigmund Anderssen, Lars Bo Andersen, Chris J Riddoch, Luis B Sardinha, Jian'an Luan, Karsten Froberg, Soren Brage.   

Abstract

BACKGROUND: Until recently, there has been no unified definition of the metabolic syndrome (MetS) in the youth. Therefore, the prevalence of MetS and its association with potential correlates are largely unknown.
OBJECTIVE: The objective was to quantify the prevalence, identify the correlates, and examine the independent associations between potential correlates with MetS.
DESIGN: A population-based cohort study was conducted in 10- and 15-y-old youth from Estonia, Denmark, and Portugal (n = 3193). MetS was defined according to the International Diabetes Federation. Correlates included maternal socioeconomic status, body mass index (BMI), hypertension, and prevalent diabetes and maternally reported child's birth weight and duration of breastfeeding. Data on sexual maturity, objectively measured physical activity, cardiorespiratory fitness, self-reported sports participation, television viewing, and regular play were collected for the children.
RESULTS: The prevalence of MetS was 0.2% and 1.4% in 10- and 15-y-olds, respectively. Cardiorespiratory fitness (standardized odds ratio: 0.33; 95% CI: 0.15, 0.75), physical activity (standardized odds ratio: 0.40; 95% CI: 0.18, 0.88), and maternal BMI (standardized odds ratio: 1.61; 95% CI: 1.11, 2.34) were all independently associated with MetS after adjustment for sex, age group, study location, birth weight, and sexual maturity. An increase in daily moderate-intensity physical activity by 10-20% was associated with a 33% lower risk of being categorized with MetS.
CONCLUSIONS: High maternal BMI and low levels of cardiorespiratory fitness and physical activity independently contribute to the MetS and may be targets for future interventions. Relatively small increases in physical activity may significantly reduce the risk of MetS in healthy children.

Entities:  

Mesh:

Year:  2008        PMID: 19056570     DOI: 10.3945/ajcn.2008.26649

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  54 in total

Review 1.  Metabolic syndrome components in murine models.

Authors:  Heather A Lawson; James M Cheverud
Journal:  Endocr Metab Immune Disord Drug Targets       Date:  2010-03       Impact factor: 2.895

Review 2.  Identification and treatment of metabolic complications in pediatric obesity.

Authors:  Katie Larson Ode; Brigitte I Frohnert; Brandon M Nathan
Journal:  Rev Endocr Metab Disord       Date:  2009-09       Impact factor: 6.514

3.  Metabolic risk and television time in adolescent females.

Authors:  Aristides M Machado-Rodrigues; Neiva Leite; Manuel J Coelho-e-Silva; Fernando Enes; Rômulo Fernandes; Luís P G Mascarenhas; Margaret C S Boguszewski; Robert M Malina
Journal:  Int J Public Health       Date:  2014-12-10       Impact factor: 3.380

4.  Red Flags for Maltese Adults with Congenital Heart Disease: Poorer Dental Care and Less Sports Participation Compared to Other European Patients-An APPROACH-IS Substudy.

Authors:  Maryanne Caruana; Silke Apers; Adrienne H Kovacs; Koen Luyckx; Corina Thomet; Werner Budts; Maayke Sluman; Katrine Eriksen; Mikael Dellborg; Malin Berghammer; Bengt Johansson; Alexandra Soufi; Edward Callus; Philip Moons; Victor Grech
Journal:  Pediatr Cardiol       Date:  2017-03-24       Impact factor: 1.655

5.  Screen-based sedentary behavior and cardiorespiratory fitness from age 11 to 13.

Authors:  Jonathan A Mitchell; Russell R Pate; Steven N Blair
Journal:  Med Sci Sports Exerc       Date:  2012-07       Impact factor: 5.411

6.  The association of lipoprotein lipase PvuII polymorphism and niacin intake in the prevalence of metabolic syndrome: a KMSRI-Seoul study.

Authors:  Eunjung Shin; Na-Young Park; Yangsoo Jang; Hyunhee Oh; Jayoung Jeong; Yunsook Lim; Myoungsook Lee
Journal:  Genes Nutr       Date:  2011-10-29       Impact factor: 5.523

7.  Joint association of physical activity/screen time and diet on CVD risk factors in 10-year-old children.

Authors:  Clemens Drenowatz; Joseph J Carlson; Karin A Pfeiffer; Joey C Eisenmann
Journal:  Front Med       Date:  2012-12-07       Impact factor: 4.592

8.  Association between physical activity and metabolic syndrome: a cross sectional survey in adolescents in Ho Chi Minh City, Vietnam.

Authors:  Trang H H D Nguyen; Hong K Tang; Patrick Kelly; Hidde P van der Ploeg; Michael J Dibley
Journal:  BMC Public Health       Date:  2010-03-17       Impact factor: 3.295

9.  Relationships of cardiorespiratory fitness with metabolic risk factors, inflammation, and liver transaminases in overweight youths.

Authors:  Dominique Bouglé; Gautier Zunquin; Bruno Sesbouë; Jean-Pierre Sabatier
Journal:  Int J Pediatr       Date:  2010-06-28

10.  Development of scales to assess children's perceptions of friend and parental influences on physical activity.

Authors:  Russell Jago; Kenneth R Fox; Angie S Page; Rowan Brockman; Janice L Thompson
Journal:  Int J Behav Nutr Phys Act       Date:  2009-10-12       Impact factor: 6.457

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.