Exercícios Físicos E Diabetes Mellitus: Revisão / Physical Exercises and Diabetes Mellitus: Review

Santos, Givanildo de Oliveira; Santos, Luciano Lima dos; Silva, Daiany Neves da; Silva, Sebastião Lobo da

doi:10.34117/bjdv7n1-599

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…Esse dado pode ser justificado pelo fato de o exercício físico ser um dos métodos não farmacológicos usados no controle da DM. A literatura traz evidências da melhora de nível glicêmico, fre-quência cardíaca e IMC em pessoas com Diabetes Mellitus que praticam exercícios físicos aeróbicos ou resistidos 19,20,21 .…”

Section: Discussionunclassified

Aspectos audiológicos e cognitivos em adultos com Diabetes Mellitus tipo 2

et al. 2022

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Introdução: A Diabetes Mellitus (DM) é um distúrbio metabólico causado pela ausência ou diminuição da secreção de insulina ou por alterações do funcionamento deste hormônio no organismo, podendo envolver alterações físicas e cognitivas. Objetivo: Analisar os aspectos audiológicos e cognitivos de adultos com Diabetes Mellitus tipo 2. Método: Estudo transversal realizado em pessoas com idade entre 18 e 59 anos, de ambos os gêneros. Os participantes foram divididos em dois grupos: Grupo Estudo (GE) - pessoas com diagnóstico de Diabetes Mellitus e o Grupo Controle (GC) - pessoas sem Diabetes. Todos foram submetidos à avaliação glicêmica, cognitiva e audiológica. Para análise estatística foi utilizado o teste de Mann-Whitney, sendo estipulado o nível de significância de 0,05. Resultados: Participaram do estudo 32 indivíduos sendo 19 (59,4%) no GE e 13 (40,6%) no GC. A média de idade dos participantes foi de 46,8 ± 8,3 anos, com escolaridade média de 6,8 ± 6 anos, sendo 25 (78,1%) do gênero feminino e 7 (21,9%) do masculino. Foi observada diferença estatisticamente significativa entre os grupos para a pontuação referente à atenção e cálculo, recordação e escore total do MEEM, com pior desempenho no GE. Não foi observada diferença estatisticamente significante entre os grupos nos aspectos audiológicos avaliados. Conclusão: Indivíduos com Diabetes Mellitus tipo 2 não apresentaram riscos para alterações audiológicas com os instrumentos utilizados, entretanto apresentaram um alto risco para alterações cognitivas. Os achados demonstram que o acompanhamento fonoaudiológico constante é essencial para identificar as alterações precocemente.

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Aspectos audiológicos e cognitivos em adultos com Diabetes Mellitus tipo 2

et al. 2022

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“…Diabetes has become one of the greatest threats to global health, with its prevalence alarmingly increasing over the past few decades [1] [2]. It is estimated that by 2045, over 700 million people will be affected by the disease, highlighting the urgency to develop effective strategies for its prevention and treatment [3].…”

Section: Introductionmentioning

confidence: 99%

Comparison and selection of machine learning algorithms for diabetes prediction: An exploratory quantitative study based on medical data analysis

Santos

2024

Multidisciplinary Perspectives: Integrating Knowledge

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The global prevalence of diabetes is increasing at an alarming rate, making early and accurate detection a critical area of interest. This study employs Machine Learning techniques to predict the incidence of diabetes in a population of women from the Pima heritage, known for their predisposition to the disease. Using a database of diagnostic measures, multiple algorithms were applied, including Support Vector Machines (SVM), Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Decision Trees, and Random Forest, to develop predictive models. Principal Component Analysis (PCA) was implemented for dimensionality reduction and highlighting of key diagnostic variables, optimizing algorithm performance. The results highlighted the superior- ity of the Random Forest, which showed higher accuracy and precision, suggesting its viability as a clinical diagnostic tool. This study contributes to the emerging field of artificial intelligence ap- plications in health, providing valuable insights for the prevention and early treatment of diabetes.

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Factors Associated With Resilience in People With Diabetes During the Social Distancing Period Imposed by the Covid-19 Pandemic

Lucena

Azevedo

Matias

et al. 2022

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Objective: to verify the association of socioeconomic and clinical data and behavioral habits with the resilience level in people with Diabetes Mellitus during social distancing in the pandemic caused by the new coronavirus disease. Method: a cross-sectional, analytical and exploratory study. The population consisted of users monitored in the Family Health Strategy, diagnosed with Diabetes Mellitus, in the municipality of Cuité, Paraíba, Brazil. The sample consisted of 300 participants. The data were collected between November 2020 and February 2021 and operationalized through two forms: one containing socioeconomic and clinical aspects, as well as behavioral habits; and another that was part of the Connor Davidson Resilience Scale for Brazil, consisting of 25 items divided into four factors, namely: tenacity, adaptability, tolerance, dependence on external support, and intuition. In the bivariate analysis, the Pearson's Chi-square and Fisher's Exact tests were performed, and the prevalence ratio was calculated, along with the respective 95% confidence intervals. Finally, Poisson Regression with robust variance was applied. Results: the prevalence of having high resilience levels was 43% higher in people under 60 years old, 39% higher in Evangelicals, 36% higher in people who consumed alcoholic beverages and 29% higher in people who practiced some physical activity. Conclusion: an association was evidenced between socioeconomic/clinical data and behavioral habits and a high resilience level; such findings lead to the elaboration of inclusive actions during the pandemic, especially considering the emotional and social aspects, in order to suggest the creation of care strategies aimed at mental health.

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Exercícios Físicos E Diabetes Mellitus: Revisão / Physical Exercises and Diabetes Mellitus: Review

Cited by 5 publications

References 19 publications

Aspectos audiológicos e cognitivos em adultos com Diabetes Mellitus tipo 2

Aspectos audiológicos e cognitivos em adultos com Diabetes Mellitus tipo 2

Comparison and selection of machine learning algorithms for diabetes prediction: An exploratory quantitative study based on medical data analysis

Factors Associated With Resilience in People With Diabetes During the Social Distancing Period Imposed by the Covid-19 Pandemic

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