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Visceral adiposity index is a better predictor of unhealthy metabolic phenotype than traditional adiposity measures: results from a population-based study.
Ferreira, Fabrícia Geralda; Juvanhol, Leidjaira Lopes; da Silva, Danielle Cristina Guimarães; Longo, Giana Zarbato.
Afiliação
  • Ferreira FG; 1Escola Preparatória de Cadetes do AR (EPCAR),Street Santos Dumont 149, Barbacena-MG, 36205-058,Brazil.
  • Juvanhol LL; 2Department of Nutrition and Health,Universidade Federal de Viçosa,Viçosa, MG,Brazil.
  • da Silva DCG; 3Universidade Federal do Oeste da Bahia (UFOB),Barreiras, BA,Brazil.
  • Longo GZ; 2Department of Nutrition and Health,Universidade Federal de Viçosa,Viçosa, MG,Brazil.
Public Health Nutr ; 22(9): 1545-1554, 2019 06.
Article em En | MEDLINE | ID: mdl-30520411
ABSTRACT

OBJECTIVE:

The present study aimed to investigate whether the visceral adiposity index (VAI) is an effective predictor to identify unhealthy metabolic phenotype by comparing normal-weight and overweight individuals.

DESIGN:

A population-based cross-sectional study. Data were collected by interviews, anthropometric evaluation, dietetic, clinical and laboratory tests. The area under the receiver-operating characteristic curve (AUC) and prevalence ratio (PR), obtained from Poisson regression, were used to compare the predictive capacity of the obesity indicators evaluated (VAI, BMI, waist and neck circumference, waist-to-height and waist-to-hip ratios) and their association with the unhealthy metabolic phenotype. All analyses were stratified by sex and by nutritional status.

SETTING:

Viçosa, Minas Gerais, Brazil.ParticipantsA total of 854 Brazilian adults (20-59 years old) of both sexes.

RESULTS:

VAI was the best predictor for unhealthy metabolic phenotype among men (AUC = 0·865) and women (AUC = 0·843) at normal weight. VAI also had the best predictive capacity among overweight women (AUC = 0·903). Among overweight men, its accuracy (AUC = 0·830) was higher than that of waist-to-hip ratio. In the adjusted regression models, VAI was the indicator most strongly associated with the unhealthy metabolic phenotype, especially among those with normal weight (PR = 6·74; 95 % CI 3·15, 14·42 for men; PR = 7·14; 95 % CI 3·79, 13·44 for women).

CONCLUSIONS:

VAI has better predictive capacity in detecting unhealthy metabolic phenotype than conventional anthropometric indicators, regardless of nutritional status and sex.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Gordura Intra-Abdominal / Adiposidade Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Revista: Public Health Nutr Assunto da revista: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenótipo / Gordura Intra-Abdominal / Adiposidade Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: America do sul / Brasil Idioma: En Revista: Public Health Nutr Assunto da revista: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil