Objective Adequate sleep is integral to better mental health and facilitates students’ learning. We aimed to assess sleep quality among medical students and to see whether it was associated with their mental health (e.g., depression, anxiety, and stress) and academic performance. Results A total of 206 responded, and 95 of them had complete data on demography, lifestyle, academic performance, sleep quality (Pittsburgh Sleep Quality Index), and mental health (Depression Anxiety Stress Scales). The prevalence of poor sleep was 63.2%; it was higher among students who were physically inactive and had more screen time. Poor sleepers demonstrated higher academic performance than sufficient sleepers (p = 0.04). The prevalence of depression, anxiety, and stress were 42%, 53%, and 31% respectively. Sleep quality was significantly associated with depression (p = 0. 03), anxiety (p = 0.007), and stress (p = 0.01).

IntroductionFew studies have estimated screen time among Arab adolescents, and no studies, to date, have published data on addiction to video games or Internet games among Arab adolescents. This study aimed to assess the prevalence of addiction to video games and its correlation with mental health in a sample of expatriate high school students from the Al-Qassim region of Saudi Arabia.MethodsThe survey was conducted in 2016 among 276 students enrolled in ninth through twelfth grades in the International Schools in Buraidah, Al-Qassim. Students who returned signed consent forms from their parents filled out a self-administered questionnaire that included validated scales on addiction to video games, general health, and lifestyle.ResultsThe proportion between the sexes and the schools were roughly equal. Around 32% were overweight or obese, 75% had screen time ≥ 2 h/day, and 20% slept < 5 h/night. Sixteen per cent (16%) were addicted to video games and 54% had psychological distress. Addiction to video games was strongly associated with psychological distress (OR = 4.1, 95% CI = 1.80, 9.47). Other significant correlates were female gender, higher screen time, and shorter sleep hours.ConclusionsThe proportion of students with psychological distress was high. Future studies should investigate other potential correlates of distress such personal traits, family relations, and academic performance.

Objective: Despite previous research that focused on liver transaminases as predictors of cardiovascular disease, there has been limited research evaluating the predictive value of AST/ALT ratio in patients with heart failure. We aimed to investigate AST/ALT ratio as an indicator of the functional severity in chronic heart failure with reduced left ventricular ejection fraction. Results:Overall, 105 patients previously diagnosed with HFrEF from Buraidah-Al Qassim province, Saudi Arabia were included in this retrospective cross-sectional study. Data on study variables, including demographic data, left ventricular ejection fraction, NYHA class, and AST/ALT ratio, were collected from patients' records. The patients were divided into two groups, namely group-1 (AST/ALT ratio < 1) and group-2 (AST/ALT ratio ≥ 1), to identify any differences in their cardiac function profiles. NYHA class and NT-proBNP were higher and LVEF was lower in group-2 than in group-1. We found a mild significant correlation between AST/ALT ratio and APRI, FIB-4 score, NYHA-class, and LVEF (r = 0.2, 0.25, 0.26, and − 0.24, respectively; P < 0.05). Multivariate linear regression analysis model and ROC curve showed that AST/ALT ratio could independently predict HFrEF functional severity with a best cut-off value of 0.9, sensitivity of 43.6%, and specificity of 81.4%.