Study Objectives:No systematic review or meta-analysis has yet been conducted to examine the impact of the pandemic on the prevalence of sleep problems among the general population, healthcare work...

Background: Medical students are at a significant risk of experiencing psychological issues, such as burnout. Over the past few years, more studies have been conducted on this topic, producing different results. Aims: The purpose of this review was to determine the global pooled prevalence rate and risk factors associated with burnout and its components among undergraduate (pre-intern) medical students. Method: From inception until 30 November 2021, nine electronic databases were used for an electronic search. Using random-effects meta-analysis, we pooled the estimates using the DerSimonian-Laird method. The prevalence of burnout in medical students was the primary outcome of interest. Data were analyzed globally, by country, by research measure. Age and sex were examined as confounders using meta-regression analysis. Results: A random-effects meta-analysis of 42 studies involving 26,824 evaluating the prevalence of burnout in medical students showed an overall prevalence rate 37.23% [32.66%; 42.05%], Q = 2,267.15(41), p < .0001, τ ² = .42, τ = .65, I ² = 98.2%; H = 7.5. Prevalence of emotional exhaustion, depersonalization, and personal accomplishment were 38.08% [30.67%; 46.10%], 35.07% [26.74%; 44.41%], and 37.23% [32.66%; 42.05%], respectively. Variations were observed between countries and research measures. Age (older) and sex (female) were both significant predictors of burnout. Conclusion: The prevalence of burnout in medical students was estimated to be 37.23%. It is urgent that future studies serve as a basis for the development of prevention and treatment programs to prevent and treat burnout in students.

Premenstrual syndrome (PMS) is a cyclical late luteal phase disorder of the menstrual cycle whereby the daily functioning of women is affected by emotional and physical symptoms substantially interfering with their quality of life. Little is known about PMS in the United Arab Emirates (UAE). This study aimed to determine the prevalence and severity of PMS among university students in Sharjah, UAE, and clarify its associations with dietary habits, lifestyle behaviors, and anthropometric factors. A cross-sectional study was conducted on female college students at the University of Sharjah, UAE. Data were collected using self-administered questionnaires and anthropometric assessments. Descriptive statistics and multiple logistic regression analyses were performed. Participants were 300 adult university students aged 18–24 years (mean age 20.07 ± 1.53 years). In total, 95% of participants reported at least one PMS symptom during their menstrual period. The prevalence of PMS was 35.3%, with mild symptoms being the most commonly reported. Multiple regression analysis showed that smoking was associated with increased risk of reporting psychological (OR 2.5, 95% CI 1.1–5.8; p < 0.05) and behavioral symptoms (OR 2.2, 95% CI 1.0–4.9; p < 0.05), while high calorie/fat/sugar/salt foods intake was associated with increased risk of reporting physical symptoms (OR 3.2, 95% CI 1.4–7.3; p < 0.05). However, fruit consumption (OR 0.34, 95% CI 0.125–0.92; p < 0.05) was associated with a decreased risk of reporting behavioral symptoms. A high prevalence of PMS was reported among university students, with smoking and high calorie/fat/sugar/salt food consumption identified as strong risk factors for PMS.

Purpose Few studies have addressed the sleep disturbances of healthcare workers during crisis events of public health. This study aimed to examine the sleep quality of frontline healthcare workers (FLHCW) in Bahrain during the COVID-19 pandemic, and compare it with the sleep quality of non-frontline healthcare workers (NFLHCW). Methods Healthcare workers (n = 280) from multiple facilities belonging to the Ministry of Health, Bahrain, were invited to participate in this cross-sectional study. An online questionnaire, including socio-demographics, the Pittsburgh Sleep Quality Index (PSQI), and the Perceived Stress Scale (PSS), was used to evaluate sleep disturbances and stress levels of healthcare workers. Poor sleep quality was defined as PSQI ≥ 5 and moderate-severe stress as PSS ≥ 14. Descriptive statistics were used to compare the scores of FLHCW and NFLHCW. Univariate and multivariate binary logistic regressions were used to identify predictors of poor sleep quality, moderate-severe stress, and the combined problem of poor sleep quality and moderate-severe stress. Results A total of 257 participants (129 FLHCW and 128 NFLHCW) provided usable responses. The overall PSQI and PSS scores were 7.0 ± 3.3 and 20.2 ± 7.1, respectively. The FLHCW scored higher in the PSQI and PSS compared with the NFLHCW; however, the differences in the PSQI and PSS scores were not statistically significant. For the FLHCW, 75% were poor sleepers, 85% had moderate-severe stress, and 61% had both poor sleep quality and moderate-severe stress. For the NFLHCW, 76% were poor sleepers, 84% had moderate-severe stress, and 62% had both poor sleep quality and moderate-severe stress. Female sex and professional background were the predictors of poor sleep quality and stress. Conclusions Poor sleep quality and stress are common during the COVID-19 crisis. Approximately, 60% of both FLHCW and NFLHCW have poor sleep quality combined with moderate-severe stress.