Your browser doesn't support javascript.
loading
Adiponectin, HOMA-Adiponectin, HOMA-IR in Children and Adolescents: Ouro Preto Study.
Cândido, A P C; Geloneze, B; Calixto, A; Vasques, A C J; Freitas, R N; Freitas, S N; Machado-Coelho, G L L.
Afiliación
  • Cândido APC; Universidade Federal de Juiz de Fora, Rua José Lourenço Kelmer, s/n - Campus Universitário, Bairro São Pedro, Juiz de Fora, MG, CEP: 36036-900, Brazil. apccandido@gmail.com.
  • Geloneze B; Laboratory of Investigation on Metabolism and Diabetes (LIMED), Gastrocentro, State University of Campinas, Campinas, Brazil.
  • Calixto A; Laboratory of Investigation on Metabolism and Diabetes (LIMED), Gastrocentro, State University of Campinas, Campinas, Brazil.
  • Vasques ACJ; Laboratory of Investigation on Metabolism and Diabetes (LIMED), Gastrocentro, State University of Campinas, Campinas, Brazil.
  • Freitas RN; Department of Social and Clinical Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil.
  • Freitas SN; Department of Social and Clinical Nutrition, Federal University of Ouro Preto, Ouro Preto, Brazil.
  • Machado-Coelho GLL; Laboratory of Epidemiology, Medical School, Federal University de Ouro Preto, Ouro Preto, Brazil.
Indian J Pediatr ; 88(4): 336-344, 2021 04.
Article en En | MEDLINE | ID: mdl-32945992
ABSTRACT

OBJECTIVES:

To examine the association and predictive capacity of adiponectin levels, HOMA-AD and HOMA-IR indexes with metabolic risk markers in children and adolescents.

METHODS:

A cross-sectional study was conducted with 691 children and adolescents (7-14 y), of both sexes. Demographic (sex, age), anthropometric (weight, height, body mass index, waist circumference, body fat), biochemical [total cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), triglycerides, fasting glycemia, insulin and adiponectin] and clinical parameters (arterial blood pressure) were analyzed.

RESULTS:

In multiple linear regression models, metabolic risk were analyzed in relation to adiponectin levels, HOMA-AD and HOMA-IR. ROC curve analysis was used to define the cut-off for metabolic syndrome for each method studied. Adiponectin level was inversely correlated with weight (r = -0.12; p = 0.01), waist circumference (WC) (r = -0.12; p = 0.01), and triglycerides (r = -0.11; p = 0.02); it was directly correlated with HDL (r = 0.10; p = 0.03) only in the adolescents. In the final linear regression model, after adjustment, only triglycerides (p = 0.03) and HDL (p = 0.04) remained significant. However, HOMA-AD and HOMA-IR were associated with metabolic risk and were the most suitable methods for metabolic syndrome screening in both age groups. For children, independent variables explained 16.0% and 14.5% of HOMA-AD and HOMA-IR, respectively. For adolescents, R2 was higher in HOMA-AD and HOMA-IR models (R2adjusted = 31.9% and R2adjusted = 29.6%, respectively).

CONCLUSIONS:

HOMA-AD and HOMA-IR are better explained by metabolic markers than adiponectin levels.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Síndrome Metabólico Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Indian J Pediatr Año: 2021 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Resistencia a la Insulina / Síndrome Metabólico Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Indian J Pediatr Año: 2021 Tipo del documento: Article País de afiliación: Brasil