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BACKGROUND: Sleep alterations are common in college students, particularly during the COVID-19 pandemic. Sociodemographic factors may predict these alterations in this population. OBJECTIVE: To identify the sociodemographic factors and health characteristics associated with the number of hours of sleep of college students during the COVID-19 pandemic. METHODS: This was a cross-sectional study carried out with 244 university students from a multicampi public university in the State of Bahia, Northeast Brazil. Data collection was performed online and participants answered a specific questionnaire to assess sleep hours, sociodemographic and health variables. RESULTS: Significant associations were observed between hours of sleep and older students (odds ratio adjusted –ORaj: 3.75; 95% Confidence Interval –CI: 1.81–7.75; p < 0.01), attending the final semesters (ORaj: 1.85; 95% CI: 1.05–3.25; p < 0.03), and who reported having some disease (ORaj: 2.18; 95% CI: 1.05–4.50; p < 0.03) with greater chances of getting less sleep. However, those who used tobacco (ORaj: 0.08; 95% CI: 0.01–0.45; p < 0.001) were likely to have more hours of sleep per night. CONCLUSION: Sleep restriction was common among participating college students, which has likely intensified due to the COVID-19 pandemic and its restrictions. This encourages specific public health actions, contemplating the health and hours of sleep of this population. [ABSTRACT FROM AUTHOR]

This study aimed to analyze factors associated with delay in specialized treatment after diagnosis of cervical cancer in the State of Bahia, Brazil. This was a cross-sectional hospital-based study of women treated in accredited units in the Hospital-Based Cancer Registry (HBCR) system in the State of Bahia from 2008 to 2017. A descriptive analysis and logistic regression were performed with backward stepwise modeling to estimate crude and adjusted prevalence ratios (PR), defining statistical significance as p ≤ 0.05 in Pearson's chi-square test. We analyzed 9,184 cases, and 65% had delayed treatment (time between diagnosis and first treatment > 60 days). Delayed treatment was more prevalent among women 65 years or older (PR = 1.30; 95%CI: 1.21-1.39), with no schooling (PR = 1.24; 95%CI: 1.15-1.33), and in advanced stages (PR = 1.17; 95%CI: 1.13-1.21). Most of the cases analyzed had delayed treatment, more prevalent among older women, with less schooling, and advanced tumor stages, highlighting the need to expand access to cancer treatment services in Bahia state, especially for these groups in worse conditions.