Detalhes bibliográficos
| Ano de defesa: |
2019 |
| Autor(a) principal: |
Stefanes, Syndel Souza
 |
| Orientador(a): |
Suzuki, Cláudio Shigueki
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| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Estadual do Centro-Oeste
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Desenvolvimento Comunitário (Mestrado Interdisciplinar)
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| Departamento: |
Unicentro::Departamento de Saúde de Irati
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://tede.unicentro.br:8080/jspui/handle/jspui/1518
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Resumo: |
Objective: To identify the prevalence of Sarcopenia in two age groups linked to the University, according to sociodemographic, behavioral and health related characteristics. Methods: Cross - sectional and quantitative study. Descriptive statistics of the variables were performed and, to identify factors associated with Sarcopenia, the L Regression models were constructed in univariate and multivariate models, which were estimated by points and intervals with 95% confidence. The variables for which they obtained values p <0.25 (Wald test) were candidates for multivariate models. In the final multivariate models, the variables that presented p values <0.05 remained. Results: The groups were composed predominantly by women in the first age groups (59 to 79 years) who lived without a partner (62.96% Irati and 67.44% Guarapuava), and who were in different tertiaries of income and schooling, being that in the Guarapuava group, women with high income and educational levels predominated. The prevalence of sarcopenia in the Irati group was 41.86% and in the Guarapuava group it was 33.03%, in both groups more than 70% of the population was obese, and in the Irati Group 74.07% of the women were insufficiently active . Final considerations: The main factors that influence the prevalence of sarcopenia were income and schooling levels, physical activity level and nutritional status of the population. However, the data |
