Browsing by Author "Oliveira, Anderson Castro Soares de"

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    Built and social environments and overweight among Brazilian adults from medium-sized city : CUME Project.
    (2022) Domingos, Ana Luiza Gomes; Hermsdorff, Helen Hermana Miranda; Mendes, Larissa Loures; Oliveira, Fernando Luiz Pereira de; Oliveira, Anderson Castro Soares de; Pimenta, Adriano Marçal; Bressan, Josefina
    A cross-sectional study enrolled participants from the CUME project (n = 289) who lived in Viçosa, Brazil. The neighborhood unit adopted was the buffer (200 meters), considering the participant’s residence as central point. We measure the number of public and private facilities inside the buffer as well as violent criminal occurrences. Food establishments were categorized into establishments with predominant sale of natural or minimally processed foods, mixed establishments, and establishments with predominant sale of ultra-processed foods. Those who attended the face-to-face interview filled two scales of perception of the environment. Overall, 33.6% of participants reported overweight. We observed a higher concentration of individuals close to the central region of the city. Access to different establishments, food environments, and criminal occurrences differed between normal-weight and overweight individuals. The groups deferred in the perception of the location of squares, open public spaces, clubs, and soccer fields. The results indicate the association between environmental characteristics and overweight in Brazilian adults.
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    Chronic fatigue syndrome and its relation with absenteeism : elastic-net and stepwise applied to biochemical and anthropometric clinical measurements.
    (2021) Neisse, Anderson Cristiano; Oliveira, Fernando Luiz Pereira de; Oliveira, Anderson Castro Soares de; Cruz, Frederico Rodrigues Borges da; Nascimento Neto, Raimundo Marques do
    Characterized by persistent fatigue, pain, cognitive impairment and sleep difficulties, Chronic Fatigue Syndrome (CFS) has been common in clinical practice. Studies indicate multiple factors contributing to CFS development: poor sleep, dehydration, psychological stress, hormonal dysfunction, nutrient deficiencies, among others. In risk work conditions, like the shift work of mines, CFS significantly increases the chance of fatal accidents. Work environments of mines suggest the presence of factors that increase the risk of developing CFS. Considering the severity/implications of CFS’s symptoms on the social and professional lives as well as on the economy, efforts are targeting its characterization and prevention. This study aims to assess the risk of CFS by studying cross-sectional data on absenteeism of 621 shift workers, measuring 8 anthropometric and 11 biochemical variables as well as age and gender, amounting 21 variables. After imputation, logistic regression was fitted by Stepwise selection, Lasso and Elastic-Net regularization. Results suggest that the models do not discriminate very well due to noise inherent to the dependent variable. However, all models agree on the effects of Sodium and Total Cholesterol on the risk of absenteeism. The Stepwise model also indicates LDL and Triglycerides as significant factors, both Lasso and Elastic-Net show effects for LDL instead. The Elastic-Net model suggests an effect of Potassium, though inconclusive according to the literature.
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    Evasão em cursos de engenharia de produção da Universidade Federal de Ouro Preto.
    (2021) Guimarães, Ricardo Morato Fiúza; Silva, André Luís; Oliveira, Fernando Luiz Pereira de; Silva, André Luís; Oliveira, Fernando Luiz Pereira de; Silva, Sergio Evangelista; Pena, Carolina Silva; Santos, Adilson Pereira dos; Oliveira, Anderson Castro Soares de
    A evasão de estudantes é um fenômeno recorrente nos sistemas de educação do Brasil. Embora na literatura sejam encontrados muitos estudos que investigaram diversos cenários de evasão, os fatores relacionados à ocorrência desse fenômeno podem variar entre diferentes contextos e instituições de ensino superior. Inicialmente, é fundamental que cada instituição ou curso seja analisado individualmente, para que o perfil de estudantes potencialmente em risco de evasão seja identificado. Assim, a gestão universitária se torna capaz de tomar medidas que visem o aumento da permanência dos estudantes nos seus cursos, até que se tornem graduados. Neste contexto, esta pesquisa quantitativa investigou os cenários de evasão dos dois cursos de graduação em Engenharia de Produção da Universidade Federal de Ouro Preto. Foram aplicados modelos de regressão logística para analisar como fatores acadêmicos, pouco estudados na literatura, bem como fatores sociodemográficos e socioeconômicos, se associaram com as chances de o estudante evadir dos cursos de graduação. Os resultados dos modelos indicaram que os fatores acadêmicos são os que mais explicam o fenômeno da evasão nestes cursos. As análises dos fatores socioeconômicos reforçaram a importância da assistência estudantil para a permanência do estudante nos cursos.
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    Monte Carlo test for stochastic trend in linear structural models for the location-scale family.
    (2021) Silva, Ivair Ramos; Ernesto, Dulcidia Carlos Guezimane; Oliveira, Fernando Luiz Pereira de; Marques, Reinaldo Antônio Gomes; Oliveira, Anderson Castro Soares de
    In linear structural models for time series, a key point is the decision between modeling the trend of non-stationary processes through a deterministic or a stochastic term. The present paper introduces a Monte Carlo hypothesis test procedure to guide in such a decision. The method works for any time series distribution belonging to the location-scale family, where the analytical shape of the distribution must be defined by the user prior to apply the method. The proposed method provides an alpha-level test for any time series of length greater than 3 and it does not demand assumptions on the distribution of the trend term when it is actually stochastic.