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Problem: Sleep disturbance is a characteristic symptom of depression, but it is also a problem in itself related to the severity of this illness. Hence, the objective of this study was to examine sleep habits and sleep problems associated with increased depressive symptoms in children., Methods: The sample included 524 children equally distributed by gender (51.1% female), with an average age of 10.29 (SD = 1.34) years. The administered instruments were the Children's Depression Inventory (CDI; Cronbach α = 0.82) and a Sleep Habits and Sleep Problems Questionnaire (α = 0.91)., Findings: The mean score for the CDI was 12.51 (SD = 6.74) and 20% presented symptoms of depression. The linear regression model showed that sleep habits associated with the increase in symptoms of depression were: little sleep, hours of sleep during the week, and wake-up time on weekdays. In the same model, the associated sleep problems were: nocturnal awakenings, nightmares, and difficulty waking up. The presence of these sleep habits and sleep problems increased the score from 2.07 to 13.50 points on the CDI scale., Conclusions: Depressive symptoms increase with the presence of sleep habits related to sleep deprivation and sleep problems related to parasomnias in school-age children., (© 2021 Wiley Periodicals LLC.)

Objectives: To compare and predict sleep quality between bed and hammock users ., Design: Cross-sectional pilot study., Setting: Habitual hammock and bed users of southern Mexico., Participants: Sixty-eight college students (53% female, mean age 21 ± 1.6 years); 33 usually sleep in bed and 35 in hammock., Intervention: Not applicable., Measurements: Objective sleep measures were obtained using an actigraphy device on 7 consecutive days. Questionnaires about sleep habits and sleepiness (Epworth scale) were completed. Body mass index (BMI) was obtained with a weighing machine and altimeter., Results: Subjective sleep measures between habitual hammock and bed users were not significant (P > .05). Differences were found on 2 objective sleep measures: (1) activity index, on which hammock users obtained 7.62 minutes more than bed users (M = 36.72, standard deviation [SD] = 10.86 vs. M = 44.34, SD = 13.08, P = .018) and (2) mean sleep episodes, on which hammock users had 19.67 minutes less than bed users (M = 71.52, SD = 34.37 vs. M = 51.85, SD = 24.29, P = .014). Hammock users had a higher BMI than bed users (M = 23.38, SD = 3.45 vs. M = 26.20, SD = 4.86, P = .010). Sex and BMI were included in the predictive model of linear regression (P < .05) of the sleep actigraphy parameters, the sleeping device was excluded of final model., Conclusions: Hammock users show increased BMI, higher activity index and shorter mean sleep episodes than bed users. However, sex and BMI were stronger predictors of actigraphy parameters than bed type., (Copyright © 2020 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Increasing evidence suggests that sleep alterations could favor subsequent depression development. In order to identify the simultaneous occurrence of these parameters in young people, in this work we evaluated the prevalence of depressive symptoms, sleep habits, and possible sleep disturbances in college students., Methods: Beck Depression Inventory (BDI), Epworth Sleepiness Scale (ESS), and a Sleep Habits Questionnaire were applied to students registered at the Autonomous University of Yucatan, Merida (mean age 20.2 +/- 2.6 years). The final sample was composed of 340 (53%) women and 298 (47%) men. Reliability of the BDI and ESS was assessed by Cronbach's alpha method., Results: Taking 10 as ESS cut-off point, it was found that 31.6% of the students had a high level of sleepiness. Students with depressive symptoms had a greater number of days with somnolence during class (p <0.05) and perceived that this affected their academic performance at a higher level (p <0.001) than the students without symptoms. In comparison to subjects without depressive symptoms, students with those symptoms rated their sleep quality as poor (p <0.001), perceived a greater latency to initiate sleep after going to bed (p <0.03), and experienced a greater number of awakenings (p <0.04)., Conclusions: We found diverse sleep alterations in a large proportion of the studied subjects, which were more severe in those who showed depressive symptoms. Educating students for appropriate sleep hygiene and encouraging them to seek professional advice to treat sleep disturbances may be useful to prevent depression.