DECPA - Artigos publicados em periódicos

URI permanente para esta coleçãohttp://www.hml.repositorio.ufop.br/handle/123456789/8506

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    Body fat indicators for cardiometabolic risk screening among shift workers.
    (2020) Diniz, Amanda Popolino; Alves, Márcia Elivane; Fajardo, Virgínia Capistrano; Freitas, Silvia Nascimento de; Batista, Guilherme Augusto Sousa; Athadeu, Bruno Francia Maia; Coelho, George Luiz Lins Machado; Oliveira, Fernando Luiz Pereira de; Pimenta, Fausto Aloísio Pedrosa; Nascimento Neto, Raimundo Marques do
    Background: In view of the costly methods currently available for the assessment of body adiposity, anthropometric obesity indicators have proven effective in predicting cardiovascular risk. Objective: To investigate the discriminatory power of body fat indicators for cardiovascular risk screening among shift workers. Methods: Cross-sectional study with male employees of an iron ore extraction company. The predictive power of body fat indicators relative to cardiovascular risk was analyzed based on the Framingham risk score and metabolic syndrome by means of receiver operating characteristic curves, sensitivity, specificity, positive and negative predictive values, area under the receiver operating characteristic curve and Youden’s index. Results: The prevalence of cardiovascular risk was 14.2% in the metabolic syndrome risk model. According to the Framingham score, 95.0%, 4.1% and 0.9% of the participants exhibited low, moderate and high risk, respectively. All the analyzed body fat indicators exhibited satisfactory discriminatory power for the tested cardiovascular risk models. Conclusion: Waist-height ratio exhibited the highest ability to predict cardiometabolic risk in both risk models.
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    Adiposity indicators as a screening method for polysomnography in shift workers.
    (2019) 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
    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.