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DC Field | Value | Language |
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dc.contributor.author | Santos, Rosângela Gomes dos | - |
dc.contributor.author | Lima, Maria Raquel da Silva | - |
dc.contributor.author | Florêncio, Raquel Sampaio | - |
dc.contributor.author | Moura, Felipe Carmo de | - |
dc.contributor.author | Martins, Conceição da Silva | - |
dc.contributor.author | Costa, Deiziane Viana da Silva | - |
dc.contributor.author | Soares, Paula Matias | - |
dc.contributor.author | Brito, Gerly Anne de Castro | - |
dc.date.accessioned | 2016-06-09T11:16:22Z | - |
dc.date.available | 2016-06-09T11:16:22Z | - |
dc.date.issued | 2015-10 | - |
dc.identifier.citation | SANTOS, R. G. dos et al. Statistical analysis use on determination of associated factors with overweight and abdominal obesity in health workers of a brazilian northeast city. Bulletin of Mathematics and Statistics Research, v. 3, n. 4, p. 123-134, out./dec. 2015. | pt_BR |
dc.identifier.issn | 2348-0580 | - |
dc.identifier.uri | http://www.repositorio.ufc.br/handle/riufc/17554 | - |
dc.description.abstract | Currently health population presents tied to different personal and environmental factors that makes complex the study of these relations with diseases that involve different living habits, such as obesity. In order to clarify the impact of different factors on overweight and obesity, different statistical test are used, facilitating a broader view of a likely default multifactorial. Thus, the aim of this study was identify factors associated with overweight and abdominal obesity through application of associative statistical tests in workers of Ceara Health Services in Horizonte city. A cross-sectional study of association was made between 2015 February and June with 206 workers. The magnitude of association was assessed by logistic regression. There was a prevalence of overweight in 57.8% of workers and 78.6% had abdominal obesity. It found a significant association between overweight and abdominal obesity in this variables: age, education, sleep, hypertension, hypercholesterolemy and hypertriglyceridemia. After adjusting step, only remained abdominal obesity outcome, making the final model with females, adult age, and high school education. It was concluded that predictors analysis of overweight and especially abdominal obesity rests on rather sociodemographic than behavioral and clinic factors on approached group. | pt_BR |
dc.language.iso | en | pt_BR |
dc.publisher | Bulletin of Mathematics and Statistics Research | pt_BR |
dc.subject | Saúde do Trabalhador | pt_BR |
dc.subject | Obesidade Abdominal | pt_BR |
dc.title | Statistical analysis use on determination of associated factors with overweight and abdominal obesity in health workers of a brazilian northeast city | pt_BR |
dc.type | Artigo de Periódico | pt_BR |
Appears in Collections: | PPGF - Artigos publicados em revistas científica |
Files in This Item:
File | Description | Size | Format | |
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2015_art_rgsaantos.pdf | 668,07 kB | Adobe PDF | View/Open |
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