Introduction: COVID-19 is a novel pandemic that has had a profound impact on global physical and psychological health. We aimed to investigate the impact of COVID-19 on stress, sleep quality, and insomnia among South Valley University students in Egypt during the quarantine period. Material and Methods: A questionnaire, including the Pittsburgh sleep quality index, the insomnia severity index, the perceived stress scale and COVID-19 fear index was distributed to the undergraduate students through the online platforms of South Valley University during the period of 1st to 15th June 2020. Results: Of a total respondent sample of 2,474 students, 24.5% had high-perceived stress levels, 31.3% had clinical insomnia, and about 80% were identified as generally poor sleepers by the PSQI. Being female, having a chronic disease, having a sleep disorder before the quarantine, or consuming caffeine were the main factors associated with high stress levels, clinical insomnia, and poor sleep quality. Also, levels of fear of COVID-19 were higher among people with high stress levels, clinical insomnia, and poor sleep quality. Conclusion: Considerable levels of stress and poor sleep quality were identified among undergraduate university students during the pandemic/home isolation period. The effect was more obvious among certain demographic groups and among the students who scored higher in the fear of COVID-19 scale.
Background Polycystic ovary syndrome (PCOS) affects up to 18% of reproductive-age females. The prevalence of obesity in PCOS patients reaches up to 80%, which is 2-fold higher than the general population. Objective The present study aimed to compare the effectiveness of 55 pharmacological interventions across 17 different outcomes in overweight/obese PCOS patients with hyperandrogenism manifestations for both short- and long-term follow-ups. A comprehensive literature search was performed on PubMed, Scopus, Embase, Science Direct, Web of Science, and Cochrane CENTRAL for randomized controlled trials comparing any conventional pharmacological intervention as a monotherapy or a combination in overweight/obese patients with polycystic ovary syndrome and hyperandrogenism manifestations. Extracted data included three main parameters; I. Anthropometric parameters (BMI, Waist and Hip circumferences, and Waist/HIP ratio), II. Hormonal parameters (FSH, LH, FSG, SHBG, Estradiol, Total Testosterone, Free testosterone, DHEAS, Androstenedione), and III. Metabolic parameters (Total Cholesterol, LDL-C, HDL-C, Triglycerides, Fasting glucose, Fasting glucose, HOMA-IR). Critical appraisal and risk of bias assessments were performed using the modified Jadad scale, and the overall quality of this network meta-analysis was evaluated according to the CINeMA framework. We performed both a pairwise meta-analysis and a network meta-analysis to evaluate the effect sizes with 95% CI, and we calculated the surface under the cumulative ranking curve (SUCRA) for each intervention. Results Our final search on May 15th 2021 retrieved 23,305 unique citations from searching six electronic databases. Eventually, 101 RCTs of 108 reports with a total of 8,765 patients were included in our systematic review and multi-treatments meta-analysis. 55 different interventions were included: 22 monotherapies, and 33 combinations. The two-dimensional cluster ranking of the average SUCRA values for metabolic and hormonal parameters with significant estimates revealed flutamide (77.5%, 70%; respectively) as the highest and rosiglitazone (38.2%, 26.3%; respectively) as the lowest, in terms of the overall efficacy in reducing weight and hyperandrogenism. However, cyproterone-acetate+ethinylestradiol exhibited a higher ranking in improving hormonal parameters (71.1%), but even a lower-ranking regarding metabolic parameters (34.5%). Conclusions and relevance Current evidence demonstrated the superiority of flutamide in improving both metabolic and hormonal parameters, and the higher efficacy of cyproterone-acetate+ethinylestradiol only in improving hormonal parameters. Nearly all interventions were comparable in female hormones, FGS, HDL, glucose, and insulin levels improvements.
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