ObjetivoVerificar a prevalência e os fatores associados ao excesso de peso em estudantes adolescentes em Rio Branco, Acre, Brasil. MétodosEstudo transversal com 741 adolescentes de escolas particulares de Rio Branco, Acre. Foram mensuradas as seguintes variáveis: sexo, idade, classe socioeconômica, escolaridade dos pais, número de moradores no domicílio, número de irmãos, atividade física, tempo de TV e de computador. A regressão logística binária foi utilizada para verficar as possíveis relações entre excesso de peso corporal e algus fatores associados. ResultadosA prevalência geral de excesso de peso foi de 26,9% (30,0% nos meninos e 24,2% nas meninas): apenas o sexo (masculino, OR=1,34), a classe socioeconômica (média alta, OR=2,06 e alta, OR=2,36) e a atividade física (insuficientemente ativo, OR=2,75) apresentaram maior risco para desenvolver excesso de peso. ConclusãoOs estudantes adolescentes do sexo masculino, de classe socioeconômica elevada e que praticam pouca atividade física foram os que apresentaram maior risco de excesso de peso nessa região do Brasil. Termos de indexação:Atividade física. Classe socioeconômica. Obesidade. Sexo. Sobrepeso.

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Introduction: the COVID-19 pandemic incited unprecedented global restrictions on society’s behavior. Home detachment and isolation measures applied during the COVID-19 pandemic can result in problems with sleep quality. It is an important measure to reduce the risk of infection from the COVID-19 outbreak. Objective: to investigate the existence of a difference between the quality of sleep before and during the home distance imposed by the Covid-19 pandemic. Methods: cross-sectional web-based survey was sent using different conventional social media to collect data from the study population. The evaluated group was composed of 124 subjects, 57 of whom were male and 67 were female from the city of Rio Branco / AC. For this study, the Pittsburgh Sleep Quality Index questionnaire (PSQI-BR) and a socio-demographic questionnaire were used. The volunteers received a link along with the description and purpose of the study. Finally, data analysis was performed using SPSS 22.0 software. Results: sleep quality worsened significantly during home distance in four sleep components (subjective sleep quality, sleep latency, sleep drowsiness and overall PSQI score). During social distance, poor sleep was greater among respondents (OR = 5.68; 95% CI = 1.80–17.82; p = 0.70). Conclusion: the results indicated that there was a significant difference between the quality of sleep before and during home detachment and sleep disturbance and the subjective quality of sleep before and during the period of the outbreak of COVID-19 were the components that most worsened in the state of sleep

Introduction: problems related to sleep have destructive effects on psychomotor skills, memory, decision making and concentration, which can influence the occurrence of accidents and errors. Bus drivers are subject to the company’s strict rules in respecting timetables, caring for the vehicle and being responsible for the daily transport of people. Objective: to analyze the sleep quality of urban public transport drivers in the city of Rio Branco, Acre, Brazil. Methods: this is a cross-sectional study developed in the city of Rio Branco, Acre, Brazil. The sample consisted of 80 drivers. To check the quality of sleep, the Pittsburg Sleep Quality Questionnaire was used. The anthropometric variables used were neck circumference, waist circumference, skinfolds, and body mass index. The non-parametric test of Spearmand 0.05 (5%) was used to associate. Results: participants were aged between 24 and 60 years, male. 81.25% of drivers had poor sleep quality according to the Pittsburg Sleep Quality Questionnaire (>5). 75% of participants have excessive body mass index and 67.5% with risky waist circumference. The neck circumference, 60% had increased values and 78.75% with the percentage of fat above the recommended. There was a strong correlation between all components and with the Pittsburg Sleep Quality Questionnaire. Conclusion: an association between poor sleep and body mass index and neck circumference has been demonstrated. It also showed a strong correlation between all components with the result of the Pittsburg Sleep Quality Questionnaire.

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