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Visceral adiposity index is a better predictor to discriminate metabolic syndrome than other classical adiposity indices among young adults.
Vega-Cárdenas, Mariela; Teran-Garcia, Margarita; Vargas-Morales, Juan Manuel; Padrón-Salas, Aldanely; Aradillas-García, Celia.
Afiliação
  • Vega-Cárdenas M; Coordination for the Innovation and Application of Science and Technology, CIACYT, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico.
  • Teran-Garcia M; Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
  • Vargas-Morales JM; Faculty of Chemical Sciences, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico.
  • Padrón-Salas A; Faculty of Medicine, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico.
  • Aradillas-García C; Coordination for the Innovation and Application of Science and Technology, CIACYT, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico.
Am J Hum Biol ; 35(2): e23818, 2023 02.
Article em En | MEDLINE | ID: mdl-36207794
BACKGROUND: Visceral adiposity index (VAI) has been identified as a cardiometabolic risk marker in children and adolescents which reflects abdominal fat distribution. The aim of the present study was to evaluated the predictive capacity of VAI, a body shape index (ABSI), atherogenic index of plasma (AIP), and triglycerides and glucose index (TyG index) compared with classical anthropometric measurements to discriminate metabolic syndrome (MetS). METHODS: This retrospective study included 1372 individuals. Anthropometric, clinical, and biochemical measurements were used to screen the prevalence of MetS components and to calculate VAI, ABSI, TyG index, and AIP. RESULTS: The discriminatory capacity among the variables was assessed by the area under the receiver operating characteristic (ROC) curve (AUC). VAI was the variable with the highest AUC with 0.932 CI 95% (0.917-0.948), followed by AIP with 0.914 CI 95% (0.897-0.931), and TyG index with 0.889 CI 95% (0.871-0.908). CONCLUSION: VAI is a promising tool to identify MetS in the late adolescence setting. Among the novel adiposity indexes VAI, AIP, TyG index are able to determine MetS presence, while ABSI is not capable.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Revista: Am J Hum Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Humans Idioma: En Revista: Am J Hum Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México País de publicação: Estados Unidos