Please use this identifier to cite or link to this item: http://repositorio.ufc.br/handle/riufc/17554
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSantos, Rosângela Gomes dos-
dc.contributor.authorLima, Maria Raquel da Silva-
dc.contributor.authorFlorêncio, Raquel Sampaio-
dc.contributor.authorMoura, Felipe Carmo de-
dc.contributor.authorMartins, Conceição da Silva-
dc.contributor.authorCosta, Deiziane Viana da Silva-
dc.contributor.authorSoares, Paula Matias-
dc.contributor.authorBrito, Gerly Anne de Castro-
dc.date.accessioned2016-06-09T11:16:22Z-
dc.date.available2016-06-09T11:16:22Z-
dc.date.issued2015-10-
dc.identifier.citationSANTOS, 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.issn2348-0580-
dc.identifier.urihttp://www.repositorio.ufc.br/handle/riufc/17554-
dc.description.abstractCurrently 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.isoenpt_BR
dc.publisherBulletin of Mathematics and Statistics Researchpt_BR
dc.subjectSaúde do Trabalhadorpt_BR
dc.subjectObesidade Abdominalpt_BR
dc.titleStatistical analysis use on determination of associated factors with overweight and abdominal obesity in health workers of a brazilian northeast citypt_BR
dc.typeArtigo de Periódicopt_BR
Appears in Collections:PPGF - Artigos publicados em revistas científica

Files in This Item:
File Description SizeFormat 
2015_art_rgsaantos.pdf668,07 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.