Background: Sleep quality ensures better physical and psychological well-being. It is regulated through endogenous hemostatic, neurogenic, and circadian processes. Nonetheless, environmental and behavioral factors also play a role in sleep hygiene. Electronic device use is increasing rapidly and has been linked to many adverse effects, raising public health concerns. Objective: This study aimed to investigate the impact of electronic device addiction on sleep quality and academic performance among health care students in Saudi Arabia. Methods: A descriptive cross-sectional study was conducted from June to December 2019 at 3 universities in Jeddah. Of the 1000 students contacted, 608 students from 5 health sciences disciplines completed the questionnaires. The following outcome measures were used: Smartphone Addiction Scale for Adolescents–short version (SAS-SV), Pittsburgh Sleep Quality Index (PSQI), and grade point average (GPA). Results: The median age of participants was 21 years, with 71.9% (437/608) being female. Almost all of the cohort used smartphones, and 75.0% (456/608) of them always use them at bedtime. Half of the students (53%) have poor sleep quality, while 32% are addicted to smartphone use. Using multivariable logistic regression, addiction to smartphones (SAS-SV score >31 males and >33 females) was significantly associated with poor sleep quality (PSQI >5) with an odds ratio of 1.8 (1.2-2.7). In addition, male gender and older students (age ≥21 years) were significantly associated with lower GPA (<4.5), with an odds ratio of 1.6 (1.1-2.3) and 2.3 (1.5-3.6), respectively; however, addiction to smartphones and poor sleep quality were not significantly associated with a lower GPA. Conclusions: Electronic device addiction is associated with increased risk for poor sleep quality; however, electronic device addiction and poor sleep quality are not associated with increased risk for a lower GPA.

Purpose: To determine the prevalence of common sleep problems among patients with rheumatoid arthritis (RA) and their relationship with the disease activity and quality of life. Patients and methods: The study sample consisted of 101 patients who attended a rheumatology clinic at a university hospital between October 2015 and May 2016. All subjects were clinically examined and interviewed by physicians using a questionnaire. The collected information included sociodemographic characteristics, the patients’ medical histories, the Disease Activity Score (DAS28), the Berlin questionnaire to assess the risk of obstructive sleep apnea (OSA), the Epworth Sleepiness Scale to assess excessive daytime sleepiness (EDS), the Athens Insomnia Scale to assess insomnia, the International RLS Study Group score to diagnose restless legs syndrome (RLS), and the Health Assessment Questionnaire (HAQ) to assess the quality of life. Results: The mean age of the participants was 48.7±14.6 years, and 95% of the participants were females. Approximately 60% of the participants were in the remission/low category of disease activity, and the average DAS28 score was 3.3±0.8 years. The prevalence rates of insomnia, EDS, sleep disturbance, risk of OSA, and RLS were 63%, 20%, 20%, 37%, and 63%, respectively. Furthermore, the distribution of sleep disorders was not affected by the disease activity. The association between the HAQ and sleep disorders among the RA patients was not significant. Conclusion: Sleep disorders are common among RA patients and may require further attention by treating clinicians; nevertheless, these disorders are not associated with disease activity and do not affect the quality of life.

Purpose: To evaluate the presence of obstructive sleep apnea (OSA), using home sleep testing in pilots and first officers in Saudi-based airlines. This will allow for proper diagnosis and management of OSA in that group which can help in minimizing any possible aviation accidents related to sleep disturbances secondary to OSA. Materials and Methods: This is a cross-sectional study conducted through Saudi-based aviation among pilots and first officers who were in service, active, and flying short- to medium-haul flights. Forty-one participants met the inclusion criteria. However, 39 out of 41 completed the study questionnaires (Berlin questionnaire, Epworth sleepiness scale, Pittsburgh sleep quality index (PSQI), Fatigue severity scale (FSS), Visual analog fatigue scale (VAFS), and Patient health questionnaire (PHQ9), along with home sleep testing. Results: Sixty-nine percent of the study population had OSA by home sleep testing. Majority of which had mild OSA (64%) and 5% had moderate and severe OSA (2.5% each). Results of different questionnaires showed one-third of the participants had insomnia, 33.3% of the participants had severe fatigue, excessive daytime sleepiness was found in 23.1% of the participants, and 10.3% had moderate depression, while 25.6% were classified as having mild depression symptoms. Conclusion: Sleep apnea is prevalent among the studied Saudi-based airline pilots and first officers. Screening for workers of this high-risk occupation needs to be considered. Fatigue, depression, and insomnia can be secondary consequences of sleep apnea and should be assessed and treated early.

Objectives: Poor sleep quality is considered a global health problem. Considering that caffeine intake contributes to sleep disturbances, we evaluated the relationship between sleep quality and the consumption of caffeinated beverages in college students in Jeddah, Kingdom of Saudi Arabia. Methods: This was a cross-sectional study conducted with college students aged 18 to 25 years old from both governmental and private colleges in Jeddah, Saudi Arabia. Sleep quality, caffeine intake, and stress exposure were assessed using three validated electronic questionnaires. Results: A total of 476 college students completed the questionnaire. Sleep quality was found to be poor in 80.7% of students. The prevalence of caffeine intake was as follows: none = 8%, a tolerable amount = 40.5%, and excessive = 51.5%. Of the students who reported excessive caffeine intake, 83.3% had poor sleep quality. The relationship between excessive caffeine intake and poor sleep quality was significant (p = 0.003). Conclusions: The majority of students had poor sleep quality, and this was correlated with excessive caffeine intake. Our results highlight the importance of raising awareness among students about the factors that may affect sleep quality.

Introduction Appropriate quality and quantity of sleep are critical for good mental health, optimal body functioning, memory consolidation, and other cognitive processes. Objectives To evaluate the sleeping patterns of medical students in Saudi Arabia and their relationships with psychological distress. Methods This was a cross-sectional, self-administered, questionnaire-based study. The study included medical students from a university in Jeddah, Saudi Arabia. The Pittsburgh Sleep Quality Index (PSQI) and the Athens Insomnia Scale (AIS) were used to evaluate the prevalence and burden of inadequate sleep quality and insomnia in the participants. Results The majority of the participants was women (76.6%). Furthermore, most participants (96.2%) were aged between 18 and 24 years old, while 54.4% of the participants were in their senior year. According to the AIS scores (mean: 15.85 ± 4.52), 98.7% of the participants exhibited insomnia symptoms. The PSQI scores (mean: 9.53 ± 5.67) revealed that 70.5% of the participants had poor sleep quality. Students in their fundamental and junior years had significantly higher percentages of insomnia symptoms and poor sleep quality compared with students in their senior years. Conclusion The prevalence of insomnia and poor sleep quality is high among medical students. Therefore, appropriate strategies for early detection and intervention are warranted.

Objectives Circadian dysregulation (jetlag), sleep loss (extended wakefulness), sleep deprivation (acute or chronic), fatigue (exhaustion), preexisting medical and mental conditions, and medication use can all affect the cognitive and behavioral performance of commercial aircraft pilots. This study evaluated the sleep habits of pilots and copilots flying short-haul flights in the Gulf region. Methods This cross-sectional study examined Airbus A320 pilots and copilots for one of Saudi Arabia’s commercial airlines. Data such as age, sex, body mass index (BMI), employment position, work experience, flight hours, and rest time were collected. Each participant completed the Epworth Sleepiness Scale (ESS) for daytime sleepiness, the Pittsburgh Sleep Quality Index (PSQI), and the Fatigue Severity Index (FSI). Actigraphy equipment was used to perform objective sleep evaluations. Results Twenty-four participants were included. Actigraphy showed that 66.7% had an irregular sleep pattern and that 41.7% had poor sleep efficiency. We found that 12.5% had daytime sleepiness, 33% had poor sleep quality, and 29.2% had fatigue. We found a significant negative correlation between years of experience and time in bed; however, there was no significant difference in sleep time or sleep efficiency between pilots with different levels of experience. Conclusions We found that pilots and copilots are at risk of irregular sleep patterns, poor sleep efficiency, poor sleep quality, daytime sleepiness, and fatigue. This study emphasizes the need to instigate measures to minimize these risks.