Characteristics associated to a poor self-rated health in Brazilian adolescents, National Adolescent School-based Health Survey, 2015. / Características associadas à autoavaliação ruim do estado de saúde em adolescentes brasileiros, Pesquisa Nacional de Saúde do Escolar, 2015.

INTRODUCTION: Health self-assessment (HSA) is a widely studied indicator among adults and the elderly, but not often explored in adolescents. This study aimed to estimate the prevalence of poor self-rated health in Brazilian schoolchildren and associated factors. METHODS: Data from the 2015 National Adolescent School-based Health Survey (PeNSE) were analyzed; prevalences and their 95% confidence intervals (95%CI) were estimated for poor self-rated health and associated factors. Multiple logistic regression analysis was performed. RESULTS: A total of 7.1% (95%CI 7.0 - 7.3) of the schoolchildren reported a poor self-assessed health status. Sociodemographic characteristics, such as female gender, 15 years of age or older, yellow, brown and indigenous race/skin color; risk behaviors such as regular alcohol consumption and drug experimentation, and issues related to physical and emotional health remained positively associated with the outcome studied. Protective factors identified were maternal schooling and demand for health services. CONCLUSION: The impact of risky behaviors on physical and emotional health need to be addressed among students. The school presents itself as a safe and opportune space for promoting a healthy lifestyle.

INTRODUçÃO: A autoavaliação de saúde (AAS) é um indicador muito estudado entre adultos e idosos, mas pouco explorado em adolescentes. O objetivo deste estudo foi estimar a prevalência e os fatores associados à autoavaliação ruim do estado de saúde em escolares brasileiros. MÉTODOS: Foram analisados dados da Pesquisa Nacional de Saúde do Escolar (PeNSE), realizada em 2015; as prevalências e os respectivos valores do intervalo de confiança de 95% (IC95%) do indicador autoavaliação ruim do estado de saúde e dos fatores associados foram estimados. Foi realizada a análise de regressão logística múltipla. RESULTADOS: Entre os escolares, 7,1% (IC95% 7,0 - 7,3) relataram autoavaliação ruim do estado de saúde. As características sociodemográficas, como sexo feminino, idade de 15 anos ou mais e raça/cor da pele amarela, parda e indígena; os comportamentos de risco de consumo regular de álcool e experimentação de drogas; e as questões relacionadas à saúde física e emocional mantiveram-se positivamente associadas ao desfecho estudado. Escolaridade materna e procurar serviços de saúde foram protetores. CONCLUSÃO: O impacto dos comportamentos de risco à saúde física e emocional necessitam ser abordados entre os estudantes. A escola apresenta-se como espaço seguro e oportuno para a promoção do estilo de vida saudável.

Prognostic model for patients with traumatic brain injuries and abnormal computed tomography scans.

Traumatic brain injury (TBI) is an important cause of death and disability worldwide. The prognosis evaluation is a challenge when many variables are involved. The authors aimed to develop prognostic model for assessment of survival chances after TBI based on admission characteristics, including extracranial injuries, which would allow application of the model before in-hospital therapeutic interventions. A cohort study evaluated 1275 patients with TBI and abnormal CT scans upon admission to the emergency unit of Hospital das Clinicas of University of Sao Paulo and analyzed the final outcome on mortality. A logistic regression analysis was undertaken to determine the adjusted weigh of each independent variable in the outcome. Four variables were found to be significant in the model: age (years), Glasgow Coma Scale (3-15), Marshall Scale (MS, stratified into 2,3 or 4,5,6; according to the best group positive predictive value) and anysochoria (yes/no). The following formula is in a logistic model (USP index to head injury) estimates the probability of death of patients according to characteristics that influence on mortality. We consider that our mathematical probability model (USP Index) may be applied to clinical prognosis in patients with abnormal CT scans after severe traumatic brain injury.

Características associadas à autoavaliação ruim do estado de saúde em adolescentes brasileiros, Pesquisa Nacional de Saúde do Escolar, 2015 / Characteristics associated to a poor self-rated health in Brazilian adolescents, National Adolescent School-based Health Survey, 2015

RESUMO: Introdução : A autoavaliação de saúde (AAS) é um indicador muito estudado entre adultos e idosos, mas pouco explorado em adolescentes. O objetivo deste estudo foi estimar a prevalência e os fatores associados à autoavaliação ruim do estado de saúde em escolares brasileiros. Métodos : Foram analisados dados da Pesquisa Nacional de Saúde do Escolar (PeNSE), realizada em 2015; as prevalências e os respectivos valores do intervalo de confiança de 95% (IC95%) do indicador autoavaliação ruim do estado de saúde e dos fatores associados foram estimados. Foi realizada a análise de regressão logística múltipla. Resultados : Entre os escolares, 7,1% (IC95% 7,0 - 7,3) relataram autoavaliação ruim do estado de saúde. As características sociodemográficas, como sexo feminino, idade de 15 anos ou mais e raça/cor da pele amarela, parda e indígena; os comportamentos de risco de consumo regular de álcool e experimentação de drogas; e as questões relacionadas à saúde física e emocional mantiveram-se positivamente associadas ao desfecho estudado. Escolaridade materna e procurar serviços de saúde foram protetores. Conclusão : O impacto dos comportamentos de risco à saúde física e emocional necessitam ser abordados entre os estudantes. A escola apresenta-se como espaço seguro e oportuno para a promoção do estilo de vida saudável.

ABSTRACT: Introduction : Health self-assessment (HSA) is a widely studied indicator among adults and the elderly, but not often explored in adolescents. This study aimed to estimate the prevalence of poor self-rated health in Brazilian schoolchildren and associated factors. Methods : Data from the 2015 National Adolescent School-based Health Survey (PeNSE) were analyzed; prevalences and their 95% confidence intervals (95%CI) were estimated for poor self-rated health and associated factors. Multiple logistic regression analysis was performed. Results : A total of 7.1% (95%CI 7.0 - 7.3) of the schoolchildren reported a poor self-assessed health status. Sociodemographic characteristics, such as female gender, 15 years of age or older, yellow, brown and indigenous race/skin color; risk behaviors such as regular alcohol consumption and drug experimentation, and issues related to physical and emotional health remained positively associated with the outcome studied. Protective factors identified were maternal schooling and demand for health services. Conclusion : The impact of risky behaviors on physical and emotional health need to be addressed among students. The school presents itself as a safe and opportune space for promoting a healthy lifestyle.