Adiposity indicators as a screening method for polysomnography in shift workers.

Objective: to verify the discriminatory power of adiposity indicators in the prediction of obstructive sleep apnoea (OSA) in shift workers. Methods: a crosssectional study carried out in an iron ore extraction company, in Minas Gerais, Brazil. Anthropometric data were collected and polysomnography (...

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Bibliographic Details
Authors: Diniz, Amanda Popolino, Fajardo, Virgínia Capistrano, Freitas, Silvia Nascimento de, Oliveira, Fernando Luiz Pereira de, Nascimento Neto, Raimundo Marques do, Pimenta, Fausto Aloísio Pedrosa, Coelho, George Luiz Lins Machado
Format: article
Status:Published version
Publication Date:2019
Country:Brasil
Institution:Universidade Federal de Ouro Preto (UFOP)
Repository:Repositório Institucional da UFOP
Language:English
OAI Identifier:oai:repositorio.ufop.br:123456789/12133
Online Access:http://www.repositorio.ufop.br/handle/123456789/12133
https://doi.org/10.1590/2317-6369000026317
Access Level:Open access
Keyword:Obesity
Circadian rhythm
Sleep-wake disorders
Snoring
Occupational health
Description
Summary:Objective: to verify the discriminatory power of adiposity indicators in the prediction of obstructive sleep apnoea (OSA) in shift workers. Methods: a crosssectional study carried out in an iron ore extraction company, in Minas Gerais, Brazil. Anthropometric data were collected and polysomnography (PSG) was performed in 118 male shift workers who owned at least one overall risk factor for cardiovascular disease. Results: the OSA prevalence in the sample was 84.7%. Among the adiposity indicators used to predict OSA (≥ 5 events/hour), body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), and total body fat (TBF) showed sensitivity values higher than 70%. Visceral fat (VF), neck circumference (NC), and neck-to-height ratio (NHtR) were the most effective in correctly identifying workers without OSA (specificity values higher than 70%). The areas under the receiver operating characteristic (ROC) curves for WC and NHtR were greater than 0.7, which indicated the test was effective in discriminating individuals with OSA. Conclusions: alterations in abdomen and neck adiposity indicators have a significant relationship with the presence of OSA and showed effectiveness as a screening method for PSG. WC and NHtR are considered good indicators for OSA prediction.

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