Metabolic Syndrome and Associated Factors in a Population-Based Sample of Schoolchildren in Colombia: The FUPRECOL Study
Background: In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed at assessing the differences in the prevalence of MetS in children and adolescents aged 9-17 years using four different operational definitions...
| Autores: | , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | Colombia |
| Institución: | Universidad del Rosario |
| Repositorio: | Repositorio EdocUR - U. Rosario |
| Idioma: | inglés |
| OAI Identifier: | oai:repository.urosario.edu.co:10336/22584 |
| Acceso en línea: | https://doi.org/10.1089/met.2016.0058 https://repository.urosario.edu.co/handle/10336/22584 |
| Access Level: | acceso abierto |
| Palabra clave: | C reactive protein Cholesterol Glucose High density lipoprotein cholesterol Low density lipoprotein cholesterol Triacylglycerol Abdominal obesity Adolescent Age Article Body mass Body weight Cardiometabolic risk Child Childhood obesity Cholesterol blood level Colombia Colombian Controlled study Diagnostic test accuracy study Diastolic blood pressure Disease association Female Groups by age Human Hyperglycemia Hypertension Inflammation Major clinical study Male Metabolic syndrome X Population research Prevalence Priority journal Puberty Risk factor School child Sex difference Systolic blood pressure Waist circumference Blood Comorbidity Glucose blood level Metabolism Obesity Pathology Blood Glucose C-Reactive Protein Humans Metabolic Syndrome Risk Factors Triglycerides Waist Circumference Cardiometabolic risk factors High sensitivity C-reactive protein Metabolic syndrome Overweight HDL |
| Sumario: | Background: In contrast to the definition of metabolic syndrome (MetS) in adults, there is no standard definition of MetS in pediatric populations. We aimed at assessing the differences in the prevalence of MetS in children and adolescents aged 9-17 years using four different operational definitions for these age groups and at examining the associated variables. Methods: A total of 675 children and 1247 adolescents attending public schools in Bogota (54.4% girls; age range 9-17.9 years) were included. The prevalence of MetS was determined by the definitions provided by the International Diabetes Federation (IDF) and three published studies by Cook et al., de Ferranti et al., and Ford et al. In addition, we further examined the associations between each definition of MetS in the total sample and individual risk factors using binary logistic regression models adjusted for gender, age, pubertal stage, weight status, and inflammation in all participants. Results: The prevalence of MetS was 0.3%, 6.3%, 7.8%, and 11.0% according to the definitions by IDF, Cook et al., Ford et al., and de Ferranti et al., respectively. The most prevalent components were low high-density lipoprotein cholesterol and high triglyceride levels, whereas the least prevalent components were higher waist circumference and hyperglycemia. Overall, the prevalence of MetS was higher in obese than in non-obese schoolchildren. Conclusions: MetS diagnoses in schoolchildren strongly depend on the definition chosen. These findings may be relevant to health promotion efforts for Colombian youth to develop prospective studies and to define which cut-offs are the best indicators of future morbidity. © Copyright 2016, Mary Ann Liebert, Inc.. |
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