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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

The lipid accumulation product is a powerful tool to predict metabolic syndrome in undiagnosed Brazilian adults

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Nascimento-Ferreira, Marcus Vinicius [1, 2, 3] ; Rendo-Urteaga, Tara [1, 2] ; Vilanova-Campelo, Regina Celia [4, 1, 3] ; Carvalho, Heraclito Barbosa [1] ; Oliveira, Germano da Paz [5] ; Paes Landim, Mauricio Batista [4, 5] ; Torres-Leal, Francisco Leonardo [3]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sch Med, Youth Child Cardiovasc Risk & Environm YCARE Res, Sao Paulo - Brazil
[2] Univ Zaragoza, Growth Exercise Nutr & Dev GENUD Res Grp, Fac Hlth Sci, IA2, IIS Aragon, Ctr Invest Biomed Red Fisiopatol O, Zaragoza - Spain
[3] Univ Fed Piaui, Metab Dis Exercise & Nutr DOMEN Res Grp, Teresina - Brazil
[4] Univ Fed Piaui, Hlth Sci Ctr, Teresina - Brazil
[5] Univ Fed Piaui, Univ Hosp, Teresina - Brazil
Número total de Afiliações: 5
Tipo de documento: Artigo Científico
Fonte: Clinical Nutrition; v. 36, n. 6, p. 1693-1700, DEC 2017.
Citações Web of Science: 10

Background \& aims: Lipid accumulation product (LAP) is emergent predictor of central lipid accumulation linked to diabetes risk and cardiovascular disease. In this study, our aims were (i) to assess the accuracy of the LAP for predicting metabolic syndrome (MS) in subjects without diagnosis of cardiovascular disease (CVD) and type 2 diabetes mellitus compared with other classical anthropometric parameters and (ii) to estimate the optimal LAP cut-off point to predict MS in this population. Subjects/Methods: We conducted a cross-sectional study with representative undiagnosed subjects aged 20-79 years (n = 201; 37.8% men), selected by Simple random sampling. In this study, subjects without previous diagnosis of CVD and type 2 diabetes mellitus, and those who did not make use of continuous medication were included. The independent variables were body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR) and LAP. MS was defined by American Heart Association and the National Heart, Lung, and Blood Institute (AHA/NHLBI); International Diabetes Federation (IDF); and a harmonized criteria between AHA/NHLBI and IDF. Results: The prevalence of MS was 78.9% and 69.6% for men and women, respectively. LAP showed better area under the curve (AUC) for MS in three different criteria than those indexes based on body mass index, waist circumference, waist-to-height ratio and waist-to-hip ratio, even after adjusting for age and sex. In the harmonized criteria, the cut-off point of 34.2 cm.mmol/L for LAP showed the highest accuracy for MS (sensitivity 0.90, specificity 0.61, positive likelihood ratio of 2.31 and negative likelihood ratio of 0.17). Conclusions: LAP is a simple and accurate predictor tool for MS in undiagnosed adults. Moreover, it has significantly higher predictability than other screening tools commonly used to find subjects at risk of CVD and type 2 diabetes mellitus development, with the best performance at the 34.2 cm.mmol/L cut-off point. (C) 2016 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved. (AU)

Processo FAPESP: 14/25233-0 - Desenvolvimento e validação de métodos para avaliação do consumo alimentar e composição corporal em um estudo multicêntrico: SAYCARE study
Beneficiário:Tara Rendo Urteaga
Linha de fomento: Bolsas no Brasil - Pós-Doutorado
Processo FAPESP: 14/11468-6 - Desenho e implementação do Estudo SAYCARE: South American Youth/Child Cardiovascular and Environmental Study
Beneficiário:Heraclito Barbosa de Carvalho
Linha de fomento: Auxílio à Pesquisa - Regular