Sleep and Vigilance最新文献

Purpose: The purpose of this study was to compare internet usage, sleep, cognition and physical activity in college professors and collegiate students during COVID-19 lockdown and to study the association of internet overuse with sleep quality, cognition and physical activity during the COVID-19 lockdown.

Methods: A sample of 125 participants {professors (n = 52) and collegiate students (n = 73)} was recruited from Jamia Hamdard, New Delhi, India. Criteria for inclusion were college professors and collegiate students who uses internet. Both the groups were assessed for internet usage (Internet Addiction Test), sleep quality (Pittsburgh Sleep Quality Index), cognition (Cognitive Failure Questionnaire) and physical activity (Global Physical Activity Questionnaire) via google forms.

Results: There was a significant difference for internet usage (p < 0.05), sleep quality (p = 0.032), cognition (distractibility, p = 0.019) and physical activity in college professors and collegiate students. It has been also reported that there was a significant association of internet usage with sleep quality and cognition and sleep quality with cognition.

Conclusion: Students have more problematic internet usage, bad sleep quality, more cognitive failures and less physical activity than college professors during pandemic lockdown. It has been also observed that problematic internet usage has correlation with sleep quality, cognition and physical activity.

Study objectives: To address sleep micro-macro-structures in psychophysiological insomnia (PPI) as denoted by cyclic alternating pattern (CAP), Sleep spindles, and hyperarousal as microstructures and sleep characteristics such as sleep stages' variables, and heart rate as macrostructures.

Methods: Two statistical populations, with 20 participants in each, are addressed: good sleepers (GS) and patients with psychophysiological insomnia (PPI). The sleep polysomnography (PSG) for one night was performed and sleep macro-micro-structures extraction was implemented for each participant. Cyclic alternating patterns were scored manually and other structures were monitored by the original PSG's device software. Analytical methods are used to dissect the results.

Result: The findings imply: (a) psychophysiological insomnia is characterized by CAP differences from good sleepers which are associated with hyperarousal; (b) Regarding microstructure, more microarousals in sleep stages caused more number of wake index. (c) The ratio of sleep stages, sleep latency and heart rate as sleep macrostructure are significantly changed. (d) There is no significant difference between PPI and GS groups on spindles length in our research.

Conclusion: Regarding all sleep disorders and especially PPI, CAP variables, EEG arousals, and sleep spindles as microstructures and Total Sleep Time, Sleep Latency, number of waking, REM duration, and Heart Rate as macrostructures were found to be critical for the diagnosis of psychophysiological insomnia The analysis contributes to understanding better approaches in the quantitative specification of psychophysiological insomnia compare to good sleepers.

Purpose: Disrupted sleep pattern has shown to impact the mental health of medical sciences students. However, few studies assessed its association with academic performance, and the impact of other factors among pharmacy students. This study aimed to evaluate the relationship between different sleep pattern variables and academic performance among pharmacy students.

Methods: A cross-sectional study using self-administered survey was distributed to all students at a large pharmacy college in Saudi Arabia between November 2020 and February 2021. The students were asked to answer based on their sleep pattern and academic performance in the previous year of 2019-2020 (before COVID-19 lockdown).

Results: 237 students completed the survey. Shorter sleeps before exams and taking medicines for insomnia were significantly associated with failing at least one course (adjOR = 0.78 and 3.68; 95% CI 0.63-0.97 and 1.18-11.49; P = 0.028 and 0.025, respectively). As such, for each extra hour of sleep/night on exam nights, there is a 0.22 lower odd of failing at least one course, and taking insomnia medications increases the odds of failing by 3.68 times. Fewer sleep hours were significantly correlated with tiredness upon wake up, daytime sleepiness, and in-class sleepiness (r _s  = - 0.24, - 0.38, and - 0.24, respectively; P ≤ 0.001 for all correlations).

Conclusions: Disrupted sleep pattern negatively impacted the academic performance of pharmacy students. Getting sufficient quality sleep, especially before exams, maybe associated with better performance and lower odds of course failures. College administrators should encourage good sleep hygiene to their students and pair the recommendations with evidence on the impact of sleep on academic performance.

Purpose: This study aimed to assess the quality of sleep and associated factors among dental students.

Methods: All dental students regularly enrolled at the Federal University of Pelotas, Brazil, were invited to participate. A structured online questionnaire was applied to collect the independent variables, including academic performance. Quality of sleep was assessed by the validated version of the Pittsburgh Sleep Quality Index. Sample was dichotomized as good sleep quality (total score: ≤ 4) and at least poor quality (total score: ≥ 5). Adjusted analyses were performed using Poisson regression with robust variance to detect the association between sleep quality and independent variables. Independent adjusted models were performed to the whole-sample, only undergraduate and only graduate dental students.

Results: Poor quality of sleep was detected in 266 (65.2%) dental students, of which 228 (68.9%) and 38 (49.4%) were undergraduate and graduate dental students, respectively. Female students presented a prevalence ratio (PR) 19% higher compared to males (95% confidence interval [CI] 1.01-1.41). When only graduate students were considering, those that reported not being the head of the family presented a PR 4.39 higher for poor quality of sleep (95% CI 1.91-10.09). Poor quality of sleep was associated with lower academic performance among undergraduate students (PR: 0.94; 95% CI 0.89-0.99), but not significantly associated when graduate students are considered (PR: 0.99; 95% CI 0.96-1.03).

Conclusion: It was concluded that dental students, mainly female ones, have high prevalence of poor quality of sleep, which is associated with undergraduate student's worst academic performance.

Supplementary information: The online version contains supplementary material available at 10.1007/s41782-022-00223-2.