Estratificação das oportunidades educacionais no Brasil: contextos e desafios para a oferta de ensino em condições de qualidade para todos

Alves, Thiago; Silva, Rejane Moreira Da

doi:10.1590/s0101-73302013000300011

Cited by 20 publications

(12 citation statements)

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“…São Paulo is the most populous city in Brazil, but its diverse population faces large social inequalities that influence health conditions across educational groups. At the same time, individuals living in urban areas often have more education, which may also influence the results.…”

Section: Discussionmentioning

confidence: 99%

Educational Differences in Cognitive Life Expectancy Among Older Adults in Brazil

Andrade

Corona

Duarte

2019

J American Geriatrics Society

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Objectives To investigate the differences in life expectancy with and without cognitive impairment (CI) by educational levels and sex in Brazil. Design Longitudinal observational study. Setting The sample was drawn from three waves (2000, 2006, and 2010) of the Health, Well‐Being, and Aging Study (Saúde, bem‐estar e envelhecimento; SABE) collected in São Paulo, Brazil. Participants Adults aged 60 years and older (N = 2116). Measurements Educational levels were estimated in the baseline wave (2000), cognition was assessed in all waves, and mortality data were obtained through the state and municipal mortality system in Brazil. Interpolation of Markov chain methods was used to estimate life expectancy with and without CI by education and sex. Results Life expectancy without CI at the age of 60 years was 13.0 years among men with no education and 17.6 years among their counterparts with 8 years of schooling. On the other hand, life expectancy with CI was higher among men with no education than those with more education (3.2 and 0.6 years, respectively). Among 60‐year‐old women without education, life expectancy without CI reached 16.2 years, but it was considerably higher among more educated women (22.7 years). Life expectancy with CI reached 4.5 years among women aged 60 years with no education, vs 1.0 year among women with 8 years of schooling. Conclusions Adults older than 60 years with no education live shorter lives and with longer periods of CI than those with education. Women in São Paulo live longer lives than men, but they live with CI for a greater number of years.

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Section: Discussionmentioning

confidence: 99%

Educational Differences in Cognitive Life Expectancy Among Older Adults in Brazil

Andrade

Corona

Duarte

2019

J American Geriatrics Society

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“…School attendance and dropout rates show different trends throughout basic education and in urban and rural settings. Data from the 2010 Demographic Census shows an overrepresentation: although only 18.6% of the population aged four to 17years-old lives in rural areas, 27% of those who dropped out of school live in rural areas (Alves and Silva, 2013). As Table 1 shows, despite the decrease in dropout rates between 2007 and 2017, the rate is still higher in rural areas in 2017.…”

Section: School Dropout and Electricity Privationmentioning

confidence: 97%

“…Basic education in Brazil is divided into three stages: i) child education (children between 4 and 6 years old); ii) primary education covers nine years (children between seven and 14 years old); and, iii) secondary education has a minimum duration of three years (young people between 15 and 17-years-old). While primary education has been compulsory since 1971, secondary education only became mandatory in 2009 by Constitutional Amendment n. 59 (Alves and Silva, 2013).…”

Section: School Dropout and Electricity Privationmentioning

confidence: 99%

A Brighter Future: The Impact of Rural School Electrification Programs on the Dropout Rate in Primary Education in Brazil

Mejdalani¹,

Costa²,

Hallack³

et al. 2018

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“…Diversos problemas do Brasil advêm de uma educação deficitária, historicamente demarcada por fortes desigualdades no acesso ao sistema escolar, na exclusão dentro do próprio sistema ou nos diferentes padrões de qualidade educacional 40 . Fatores histórico-culturais, sociais, forças macroestruturais e políticas, além das condições da oferta de ensino (infraestrutura dos prédios escolares, formação e atuação de professores, duração da jornada discente) e fatores econômicos (impacto da educação no mercado de trabalho e na mobilidade social dos indivíduos) estão associados às desigualdades educacionais e à apropriação dos resultados educacionais entre as pessoas de diferentes níveis socioeconômicos, em geral, em desfavor das classes mais desfavorecidas 41 .…”

Section: Perfil Saudável (%) Perfil De Risco (%)unclassified

Indicador multidimensional de fatores de risco relacionados ao estilo de vida: aplicação do método Grade of Membership

2019

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Resumo: Objetivou-se identificar perfis multidimensionais de fatores de risco relacionados ao estilo de vida, com a verificação de características sociodemográficas e de autopercepção de saúde associadas. Utilizaram-se dados da Pesquisa Nacional de Saúde (2013) de 45.881 indivíduos acima de 30 anos. Para a identificação dos perfis, foi utilizado o método Grade of Membership (GoM), com a inclusão de 12 variáveis. A análise de características associadas foi realizada por meio do teste qui-quadrado de Pearson e de regressão logística. Foram identificados dois perfis: “perfil saudável” (61,6%) e “perfil de risco” (38,4%). O “perfil saudável” é caracterizado pelo consumo adequado de frutas, vegetais, peixes, bem como pelo consumo não regular de refrigerante, carne com gordura e feijão; apresenta excesso de peso e faz atividade física recomendada no lazer. O “perfil de risco”, por sua vez, é caracterizado pelo não consumo de marcadores saudáveis, exceto o consumo de feijão, pelo consumo de todos os marcadores não saudáveis de alimentação, pelo hábito de substituir refeições por lanches, pelo consumo de álcool, uso de tabaco e por não serem fisicamente ativos no lazer. O perfil saudável associou-se ao sexo feminino, como também a idosos, brancos, residentes no Norte e Nordeste do Brasil, viúvos e casados, com maior escolaridade e com melhor autoavaliação de saúde. Já o perfil de risco se associou ao sexo masculino, como também a adultos jovens, residentes no Centro-oeste e Sul, solteiros, com menor escolaridade e com pior autoavaliação de saúde. Embora mais prevalente, o percentual de indivíduos com pertencimento total ao perfil saudável foi baixo. Fatores de risco relacionados ao estilo de vida estão associados a características sociodemográficas.

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Estratificação das oportunidades educacionais no Brasil: contextos e desafios para a oferta de ensino em condições de qualidade para todos

Cited by 20 publications

References 11 publications

Educational Differences in Cognitive Life Expectancy Among Older Adults in Brazil

Educational Differences in Cognitive Life Expectancy Among Older Adults in Brazil

A Brighter Future: The Impact of Rural School Electrification Programs on the Dropout Rate in Primary Education in Brazil

Indicador multidimensional de fatores de risco relacionados ao estilo de vida: aplicação do método Grade of Membership

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