Author:

• Michaela Eickemberg - Eickemberg, M - <mieickemberg@yahoo.com.br>
ORCID: https://orcid.org/0000-0002-3625-2221

Co-author(s):

• Leila Denise Alves Ferreira Amorim - Amorim, L.D.A.F - <leiladen@ufba.br>
ORCID: https://orcid.org/0000-0002-1112-2332
• Maria da Conceição Chagas de Almeida - Almeida, M. C. C - <conceicao@bahia.fiocruz.br, conceicao.chagas.almeida@gmail.com>
ORCID: https://orcid.org/0000-0002-4760-4157
• Francisco José Gondim Pitanga - Pitanga, F.J.G - Salvador, BA - <pitanga@lognet.com.br>
ORCID: https://orcid.org/0000-0002-1033-8684
• Estela Maria Leão de Aquino - Aquino, E.M.L - <estela.maria.aquino@gmail.com>
ORCID: https://orcid.org/0000-0002-8204-1249
• Maria de Jesus Mendes da Fonseca - Fonseca, M.J.M - <mariafonseca818@gmail.com>
ORCID: https://orcid.org/0000-0002-5319-5513
• Sheila Maria Alvim Matos - Matos, S.M.A - <salvim@ufba.com.br>
ORCID: https://orcid.org/0000-0003-2080-9213

Abstract:

This study evaluated the accuracy of abdominal obesity (OA) indicators, defining a latent variable as gold standard. Methods: 12232 participants of the ELSA-Brasil were studied, with ages between 35 and 74 years. Three AO indicators were evaluated: waist circumference (WC), waist hip ratio (WHR) and conicity index (C index). Analyzes were stratified by sex and race/skin color. Results: All groups had high prevalences of AO, being it greater between white men (~70%) and black women (~60%). A high accuracy of WC was observed for men, WHR and C index between men and women for discriminating latent AO. The following cutoffs points for AO indicators were identified among white, brown and blacks men, respectively: WC: 89.9cm; 90.2cm and 91.7cm; WHR: 0.92; 0.92 and 0.90; C index: 1.24; 1.24 and 1.24. The cutoffs points identified among white, brown and blacks women were, respectively: WC: 80.4cm, 82.7cm and 85.4cm; WHR: 0.82; 0.83 and 0.84; C index: 1.20; 1.22 and 1.19 Conclusion: The WC among men and the WHR and C index among men and women presented high power to discriminate latent AO, being C index the best indicator.

Keywords:

abdominal obesity, nutritional assessment, reference standards, prevalence.

Content:

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