18 resultados para Ensino Médio em Rede


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OBJETIVO: Estimar a prevalência do tabagismo em estudantes e os fatores associados.MÉTODOS: Foram utilizados dados secundários, provenientes do inquérito Vigescola realizado em Curitiba (PR), Florianópolis (SC) e Porto Alegre (RS) em 2002 e 2004. A amostra compreendeu 3.690 escolares de 13 a 15 anos, cursando as sétima e oitava séries do ensino fundamental e primeira do ensino médio, em escolas públicas e privadas. Para a análise dos resultados foram estimadas proporções ponderadas, odds ratio (OR), e utilizada a técnica de regressão logística múltipla.RESULTADOS: As taxas de prevalência de tabagismo corresponderam a 10,7 por cento (IC 95 por cento: 10,2;11,3) em Florianópolis, 12,6 por cento (IC 95 por cento: 12,4;12,9) em Curitiba e 17,7 por cento (IC 95 por cento: 17,4;18,0) em Porto Alegre. Os fatores associados ao tabagismo em escolares em Curitiba foram: sexo feminino (OR=1,49), pai fumante (OR=1,59), amigos fumantes (OR=3,46), exposição à fumaça do tabaco fora de casa (OR=3,26) e possuir algum objeto com logotipo de marca de cigarro (OR=3,29). Em Florianópolis, as variáveis associadas ao tabagismo foram escolares do sexo feminino (OR=1,26), ter amigos fumantes (OR=9,31), exposição à fumaça do tabaco em casa (OR=2,03) e fora de casa (OR=1,45) e ter visto propaganda em cartazes (OR=1,82). Em Porto Alegre, as variáveis que estiveram associadas com o uso de tabaco pelos escolares foram sexo feminino (OR=1,57), idade entre 14 anos (OR=1,77) e 15 anos (OR=2,89), amigos fumantes (OR=9,12), exposição à fumaça do tabaco em casa (OR=1,87) e fora de casa (OR=1,77) e possuir algo com logotipo de marca de cigarro (OR=2,83).CONCLUSÕES: Há elevada prevalência de tabagismo entre escolares de 13 a 15 anos, cujos fatores significativamente associados comuns às três capitais são: ter amigos fumantes e estar exposto à fumaça ambiental fora de casa

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Previous studies found students who both work and attend school undergo a partial sleep deprivation that accumulates across the week. The aim of the present study was to obtain information using a questionnaire on a number of variables (e.g., socio-demographics, lifestyle, work timing, and sleep-wake habits) considered to impact on sleep duration of working (n=51) and non-working (n=41) high-school students aged 14-21 yrs old attending evening classes (19:00-22:30 h) at a public school in the city of So Paulo, Brazil. Data were collected for working days and days off. Multiple linear regression analyses were performed to assess the factors associated with sleep duration on weekdays and weekends. Work, sex, age, smoking, consumption of alcohol and caffeine, and physical activity were considered control variables. Significant predictors of sleep duration were: work (p < 0.01), daily work duration (8-10 h/day; p < 0.01), sex (p=0.04), age 18-21 yrs (0.01), smoking (p=0.02) and drinking habits (p=0.03), irregular physical exercise (p < 0.01), ease of falling asleep (p=0.04), and the sleep-wake cycle variables of napping (p < 0.01), nocturnal awakenings (p < 0.01), and mid-sleep regularity (p < 0.01). The results confirm the hypotheses that young students who work and attend school showed a reduction in night-time sleep duration. Sleep deprivation across the week, particularly in students working 8-10 h/day, is manifested through a sleep rebound (i.e., extended sleep duration) on Saturdays. However, the different roles played by socio-demographic and lifestyle variables have proven to be factors that intervene with nocturnal sleep duration. ) The variables related to the sleep-wake cycle naps and night awakenings proved to be associated with a slight reduction in night-time sleep, while regularity in sleep and wake-up schedules was shown to be associated with more extended sleep duration, with a distinct expression along the week and the weekend. Having to attend school and work, coupled with other socio-demographic and lifestyle factors, creates an unfavorable scenario for satisfactory sleep duration

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Previous studies have revealed that students who work and study build up sleep deficits during the wrkweek, which can trigger a sleep rebound during days off. The objective of this study was to investigate the impact of working on sleepiness during days off working / non-working on sleepiness days off among high school students. The study population, aged 14-21 years, attended evening classes in São Paulo, Brazil. For the study, the students completed questionaires on living conditions, health, and work; wore actigraphs; and completed the Karolinska Sleepiness Scale (KSS). To predict sleepiness, a logistic regression analysis was performed. Excessive sleepiness was observed on the first day off among working students. Results suggest that working is a significant predictor for sleepiness and that two shifts of daily systematic activities, study and work, might lead to excessive daytime sleepiness on the first day off. Further, this observed excessive sleepiness may reflect the sleep debt accumulated during the workweek