Prevalence and differences in habitual sleep efficiency, sleep disturbances, and using sleep medication: a national study of university students in Jordan

Factors Associated With Sleep Quality Among Undergraduate Nursing Students During Clinical Practicums

BACKGROUND

Limited evidence exists on factors influencing nursing students' sleep quality during clinical practicums.

PURPOSE

This study examined the sleep quality of nursing students and factors that affect sleep quality during clinical practicums.

METHODS

Undergraduate nursing students (n = 135) enrolled in clinical practicums in 3 universities completed questionnaires including sociodemographics and the Pittsburgh Sleep Quality Index (PSQI). Stepwise linear regression evaluated factors predicating sleep quality.

RESULTS

Seventy percent of nursing students reported poor sleep quality. Weekly work hours and clinical hours were significant factors in predicting global PSQI scores, subjective sleep quality, sleep duration, sleep efficiency, and daytime dysfunctions. The students' race was related to sleep latency and sleeping medication. Clinical hours and living on campus were associated with sleep disturbances.

CONCLUSION

Knowing the factors that influence nursing students' sleep during clinical practicums, nurse educators can help students improve sleep health and clinical experience.

Associations between multiple sleep dimensions and suicide and non-suicidal self-injury: a cross-sectional study of 3828 Chinese young people

PURPOSE

Suicide and non-suicidal self-injury (NSSI) are preventable concerns in young people. Suicidal ideation (SI), suicidal plans (SP) and suicidal attempt (SA) are closely related to death. Sleep problems are known risk factors for suicide and NSSI. This study aimed to explore the relationship between sleep, suicidality and NSSI.

METHODS

Participants were 3,828 middle school and college students aged 11-23 years from urban and rural areas of Henan Province. Sleep, suicidal phenomena and NSSI were assessed by applying self-reported questionnaires. Chi-squared tests were utilized to demonstrate the demographic data and sleep variables. The correlation between sleep, suicidality and NSSI were explored by using binary logistic regression, while adjusting socio-demographic characteristics with multivariate models.

RESULTS

Sleep variables except mid-sleep time were related to suicidal phenomena (P < 0.05). Greater social jet lag (SJL) [≥ 2 h (h)] was associated with increased risk of SI [Odds ratios (OR) = 1.72, 95% confidence intervals (CI):1.40-2.11], SP (OR = 2.10, 95%CI:1.59-2.79) and SA (OR = 1.50, 95%CI:1.00-2.26). Non-only child participants with SJL (≥ 2 h) had significantly increased odds of SI (OR = 1.75, 95%CI: 1.41-2.18) and SP (OR = 2.25, 95%CI: 1.66-3.05). Eveningness chronotype had the strongest correlation with SI (OR = 3.87, 95%CI:2.78-5.38), SP (OR = 4.72, 95%CI:2.97-7.50), SA (OR = 6.69, 95%CI:3.08-14.52) and NSSI (OR = 1.39, 95%CI:1.02-1.90).

CONCLUSION

Overlong or short sleep duration, SJL, eveningness chronotype and other sleep abnormalities (e.g., daytime dysfunction, low sleep efficiency) were associated with a higher prevalence of SI, SP and SA. Additionally, eveningness was significantly correlated with NSSI among young people. These findings suggested the importance of assessing and intervening in sleep habits to prevent suicide and NSSI in young people.

Insomnia Medication Use by University Students: A Systematic Review

Problematic sleep or insomnia has been a recognised issue for many individuals in society, and university students can be of particular concern due to unique academic pressures. A systematic review was designed to summarise the current evidence about the extent of insomnia medication used by university students and identify characteristics of those more willing to use medication to manage insomnia. Searches were undertaken using Psych INFO, PubMed, Embase, and Web of Science, resulting in 25 eligible studies across multiple countries between 1994 and 2020. The prevalence of sleep medication use by students varied widely, from 2% to 41.2%, with an average of 13.1%. Female gender, students experiencing poor sleep, smoking, drinking stimulant beverages, and undertaking fewer physical activities were associated with the use of insomnia medication. Insomnia medication use exists within university student populations but appears to vary considerably worldwide; identifying multiple population characteristics associated with such use would offer opportunities to identify and support those affected.

Sleep disruption and its contributing factors in Chinese survivors of childhood cancer: A cross-sectional study

OBJECTIVES

This study provided information about sleep disruption, particularly its prevalence and severity among Hong Kong Chinese childhood cancer survivors. Additionally, we identified the factors influencing sleep disruption and explored how fatigue, depressive symptoms and physical activity (PA) affect sleep disruption.

METHODS

402 survivors 6-18 years old and 50 age- and gender-matched healthy counterparts were assessed for depressive symptoms, fatigue, PA and subjective sleep quality. Demographic and clinical information were collected. Multiple logistic regression analyses were conducted to identify any factors contributing to poor sleep.

RESULTS

Mean scores of depressive symptoms, fatigue for children and that for adolescents, and PA in survivors were 16.1 (SD=11.1), 24.6 (SD=10.3), 27.7 (SD=7.8) and 3.08 (SD=2.9), respectively. 44.8% of the survivors were poor sleepers, which was more that in healthy counterparts. The three most common sleep problem were prolonged sleep latency (31.9%), daytime dysfunction (23.4%) and sleep disturbance (22.9%). The time since last treatment (children: AOR=0.54, 95%CI=0.30-0.96, p=.04; adolescents: AOR=0.80, 95%CI=0.70-0.92, p<.01) and PA levels (children: AOR=0.46, 95%CI=0.260-0.82, p=.01; adolescents: AOR=0.70, 95%CI=0.49-0.98, p=.04) were negatively associated with sleep disruption, while depressive symptoms (children: AOR=1.31, 95%CI=1.04-1.64, p=.02; adolescents: AOR=1.07, 95%CI=1.01-1.13, p=.03), fatigue (children: AOR=1.15, 95% CI=1.00-1.31, p=.04; adolescents: AOR=1.08, 95%CI=1.02-1.15, p=.01), number of treatment received (children:AOR=16.56, 95% CI=1.27-216.82, p=.03; adolescents: AOR=7.30, 95%CI=2.36-22.56, p<.01) and co-sleeping (children: AOR=29.19, 95%CI=1.65-511.57, p=.02; adolescents: AOR=4.63, 95%CI=1.22-17.61, p=.02) were positively associated with sleep disruption.

CONCLUSION

PA made the largest contribution to reduce sleep disruption. It is crucial to advocate for the adoption and maintenance of PA in survivorship. This article is protected by copyright. All rights reserved.

Stress and behavioral changes with remote E-exams during the Covid-19 pandemic: A cross-sectional study among undergraduates of medical sciences

Emergence of coronavirus disease 2019 (COVID-19) forced the worldwide higher educational institutes to adopt distance learning mode. Further, remote electronic exams (E-exams) were considered as mode of assessment. Objectives: This cross-sectional study evaluated the students' experience of remote E-exams during the COVID-19 pandemic among Medical Sciences students in Jordan. Materials and Methods: A survey of 29 questions was prepared on Google forms and distributed among students at Faculties of Medical Sciences (Medicine, Dentistry, Pharmacy, Nursing and Applied Medical Sciences) at Jordan University of Science and Technology. The questions include students' demographics, stress experience, and factors contributing to stress as well as behavioral changes related to remote E-exams. Responses were analyzed using descriptive, cross tabulation and Chi-square tests. Results: Among 1019 respondents, 32% reported more stress with remote E-exams. This was associated with academic major and gender. Among students with more stress during remote E-exams, the exam duration, mode of questions navigation and technical problems (exam platform and internet connectivity) appeared as the main factors related to stress in 78%, 76% and >60%, respectively. Other factors include concern regarding the teaching methods, exam environment and students' dishonesty. Remote E-exams had negative impact on students' dietary habits (increase consumption of caffeine and high energy drinks, high sugar food, fast food), sleep (reduction in sleeping hours, more consumption of insomnia medications), physical activity (less exercises) and smoking habits (increase). Conclusion: Results suggested a negative impact of E-exams on students within Medical Faculties. Robust exam platform and remote mock E-exams are recommended to reduce students' potential stress. A stress-free environment is very essential to encourage students to adopt remote E-exams, particularly if the pandemic will take longer. Various awareness programs about students' habits related to dietary, sleep quality, physical activity and smoking are highly valuable for students' health benefits. This is of particular importance since the current students at Faculties of Medical Sciences are the future health care providers.