DECPA - Artigos publicados em periódicos

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

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2007 - 200912010 - 20201

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Assunto: search.filters.subject.Anthropometry

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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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    A comparative study of methods for diagnosis of obesity in an urban mixed-race population in Minas Gerais, Brazil.
    (2007) Freitas, Silvia Nascimento de; Caiaffa, Waleska Teixeira; César, Cibele Comini; Cândido, Ana Paula Carlos; Faria, Valéria Andrade; Nascimento Neto, Raimundo Marques do; Coelho, George Luiz Lins Machado
    Obesity is defined as an excess of total body fat and may be assessed by different methods. The objective of the present study was to establish the discriminatory power of anthropometric data in determining obesity.