Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/14137
Title: Adiponectin, HOMA-Adiponectin, HOMA-IR in children and adolescents : Ouro Preto study.
Authors: Cândido, Ana Paula Carlos
Geloneze, Bruno
Calixto, Aurea Oliveira Silva
Vasques, Ana Carolina Junqueira
Freitas, Renata Nascimento de
Freitas, Silvia Nascimento de
Coelho, George Luiz Lins Machado
Issue Date: 2020
Citation: CÂNDIDO, A. P. C. et al. Adiponectin, HOMA-Adiponectin, HOMA-IR in children and adolescents: Ouro Preto study. The Indian Journal of Pediatrics, v. 88, p. 336–344, 2020. Disponível em: <https://link.springer.com/article/10.1007%2Fs12098-020-03444-3>. Acesso em: 10 jun. 2021.
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 (R2 adjusted = 31.9% and R2 adjusted = 29.6%, respectively). Conclusions HOMA-AD and HOMA-IR are better explained by metabolic markers than adiponectin levels.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/14137
metadata.dc.identifier.uri2: https://link.springer.com/article/10.1007%2Fs12098-020-03444-3
metadata.dc.identifier.doi: https://doi.org/10.1007/s12098-020-03444-3
ISSN: 0019-5456
Appears in Collections:DEMSC - Artigos publicados em periódicos

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