EMED - Escola de Medicina

URI permanente desta comunidadehttp://www.hml.repositorio.ufop.br/handle/123456789/3649

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2007 - 200912020 - 20222

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Autor: search.filters.author.Coelho, George Luiz Lins MachadoAssunto: search.filters.subject.Anthropometry

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Agora exibindo 1 - 3 de 3
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    Adductor pollicis muscle thickness in Brazilian adolescents and associations with nutritional status, sexual maturation and physical activity (EVA-JF Study).
    (2022) Pereira, Priscila Moreira de Lima; Neves, Felipe Silva; Fontes, Vanessa Sequeira; Campos, Angélica Atala Lombelo; Coelho, George Luiz Lins Machado; Faria, Eliane Rodrigues de; Netto, Michele Pereira; Oliveira, Renata Maria Souza; Cândido, Ana Paula Carlos
    Objective: The present study aims to assess the associations of adductor pollicis muscle thickness (APMT) with age, skin color, sexual maturation, anthropometric indicators and physical activity in Brazilian adolescents. Materials and methods: Cross-sectional study of adolescents aged 14-19 years. Weight, height, body mass index (BMI), arm circumference (AC), APMT, body fat, fat-free mass (FFM), fat-free mass index (FFMI), sexual maturation, time of physical activity and skin color were evaluated. APMT was associated with categorical variables using Mann-Whitney or Kruskal-Wallis tests and correlated with anthropometric variables using Spearman’s correlation. Linear regression was used with APMT as a dependent and the other variables as predictors. Data analysis was carried out in SPSS® software (version 17.0) with a 5% significance level. Results: 828 adolescents were evaluated, 57.6% female, with a mean age of 16.13 ± 1.20 years. APMT had an average value of 18.0 mm in females and 21.0 mm in males. The measure was greater in males, in more advanced stages of sexual maturation, overweight and physical activity. It presented a moderate correlation with FFM, FFMI, body fat and AC. In the final model of multiple linear regression for females, the variables AC and body fat explain 20.1% of the APMT variability. For men, the variables AC and FFMI explain 30.5% of the APMT variability. Conclusion: It is recommended that APMT be used in a complementary manner in the nutritional assessment of adolescents.
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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.