Anthropometric indicators associated with hypertriglyceridemia in the prediction of visceral fat

Authors

  • Carolina Cunha de Oliveira Universidade Federal de Sergipe
  • Anna Karla Carneiro Roriz Universidade Federal da Bahia.
  • Pricilla de Almeida Moreira Universidade Federal da Bahia.
  • Michaela Eickemberg Universidade Federal da Bahia.
  • Magali Teresopolis Reis Amaral Universidade Estadual de Feira de Santana
  • Luiz Carlos Santana Passos Universidade Federal da Bahia.
  • Lilian Barbosa Ramos Universidade Federal da Bahia.

DOI:

https://doi.org/10.1590/1980-0037.2014v16n5p485

Abstract

The accumulation of visceral fat is strongly associated with cardiometabolic changes. Alternative methods, such as the association between anthropometric indicators and hypertriglyceridemia, are used as the best estimate for the accumulation of visceral fat, preventing cardiovascular diseases. The aim of this study was to evaluate the association of anthropometric indicators with hypertriglyceridemia in the prediction of visceral fat in men and women. This was a cross-sectional study conducted with 192 individuals, of both genders, submitted to anthropometric evaluation (sagittal abdominal diameter [SAD], waist circumference [WC], and waist-hip ratio [WHR]), serum dosage of triglycerides (TG), and computed tomography scan, in order to measure the visceral adipose tissue (VAT) area. Descriptive analysis, Pearson’s Correlation, and multiple linear regression were performed. Anthropometric indicators had high correlation with the VAT area (p=0.000). Regardless of serum TG levels, individuals with high values of anthropometric indicators had excess VAT area (p<0.05). For every centimeter increased in SAD, there was an average increase of 12.46 cm² in the VAT area. The study showed that both SAD and WC were good indicators to explain the variability in the VAT area, independently of changes in TG levels, making it possible to identify individuals with a risk of developing cardiovascular diseases.

Author Biographies

Carolina Cunha de Oliveira, Universidade Federal de Sergipe

Departamento de Nutrição. Lagarto, SE. Brasil.

Anna Karla Carneiro Roriz, Universidade Federal da Bahia.

Escola de Nutrição. Salvador, BA. 

Pricilla de Almeida Moreira, Universidade Federal da Bahia.

Escola de Nutrição. Salvador, BA.

Michaela Eickemberg, Universidade Federal da Bahia.

Escola de Nutrição. Salvador, BA.

Magali Teresopolis Reis Amaral, Universidade Estadual de Feira de Santana

Biometria e Estatística Aplicada

Luiz Carlos Santana Passos, Universidade Federal da Bahia.

Faculdade de Medicina, Salvador, BA.

Lilian Barbosa Ramos, Universidade Federal da Bahia.

Escola de Nutrição. Salvador, BA

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Published

2014-07-30

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Section

Original Articles