Objective: To analyze the changes in the methodological aspects of the National Survey of School Health (PeNSE) and its comparability with the Global School-based Student Health Survey (GSHS).
Methods: This evaluative study that utilized the PeNSE questionnaires from 2009, 2012, 2015, and 2019, and the GSHS questionnaires from 2013-2017 e 2018-2020. The variables analyzed included the sample size, representativeness and geographic stratification of PeNSE, the number of questions in PeNSE, the percentage similarity of the PeNSE 2019 relative to the 2015, and its comparability with GSHS.
This cross-sectional study used data from Brazil's National Student Health Survey (PeNSE), from 2015 and 2019, to compare consumption of tobacco products among adolescent students in Brazil and identify associated factors. The study variables were current cigarette smoking, use of other tobacco products and use of any tobacco product. Pearson's Chi-square test was used to ascertain associations between the variables; bivariate and multivariate analyses were performed using logistic regression.
View Article and Find Full Text PDFThe scope of this article is to analyze the association between teachers' self-rated health and the conditions in which they work in Basic Education schools in Brazil. It involved a cross-sectional study, carried out between 2015 and 2016, representative of Basic Education teachers in the country, the outcome variable of which was self-rated health (SRH). The explanatory variables were the work-related characteristics.
View Article and Find Full Text PDFYoung people receive special attention regarding smoking as it is a period of life in which the use of this and other substances generally starts and is consolidated. There are no studies on risk factors associated with young adults with a representative sample from Brazil that take into consideration individual and contextual aspects. The objective was to identify factors associated with smoking among young Brazilian adults aged 18 to 24 years, considering the combined influence of individual and contextual factors assessed through the Municipal Human Development Index (MHDI).
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