Background: Premenstrual dysphoric disorder (PMDD) is a female psychiatric disorder affecting the behaviour, cognitive abilities, mental health status and academic performance of female students. It includes: mood symptoms, behaviour symptoms and physical symptoms.Aim: To assess phenomenology, measure the prevalence of PMDD among university students and assess the relationship between PMDD and socio-demographic and personality characteristics.Setting: This study was conducted at Zagazig University, Sharqia Governorate, Egypt.Methods: A cross-sectional study was conducted from September 2020 to December 2020. It included 755 university students. They filled several questionnaires covering Diagnostic and Statistical Manual of Disorders (DSM-5) criteria to diagnose PMDD, socio-demographic, menstrual factors, physical activity and personality traits.Results: Premenstrual dysphoric disorder was found in 159 out of 755 students (21.1%). Overall, the most frequently reported premenstrual symptoms were overeating/food cravings (84.2%), fatigue/lack of energy (83.6%), depressed mood/hopelessness (82.0%) and hypersomnia (78.9%). Binary logistic regression model revealed that significantly related PMDD risk factors include: being a medical student, having a duration of menstrual bleeding ≥ 7 days, the average length of one cycle ˂ 28 days, high menstrual blood loss, presence of dysmenorrhea and positive family history of premenstrual syndrome (sister/mother). Regarding personality traits, low extroversion and agreeableness, and high neuroticism were also significant PMDD risk factors.Conclusion: Prevalence of PMDD was high among university students, especially medical students, and it can have a detrimental effect on both academic life and educational accomplishments, quality of life and daily living activities.
Background: Executive function (EF) domain deficits which most reported include in particular set shifting and inhibition, which are considered main deficits in obsessive-compulsive disorder (OCD). So, this research aimed to assess EF in patients with a primary diagnosis of OCD in comparison to a healthy control group; in order to understand the impaction of this disorder on the patient's neuropsychological status. Results: There was no significant difference between OCD patients and controls regarding demographic characteristics. Average duration of illness in OCD group was 3.97 ± 5.08 years. Forty patients (60.6%) had OCD medication prior to the study. Depression was the most prevalent comorbidity among OCD group (36.4%) then anxiety (12.1%) and social anxiety (3%). Regarding WCST indices, a significant difference (P < 0.05) was found between both groups in total number of correct answers, total number of errors, mean of errors, total number of perseverative errors, mean of perseverative errors, total number of non-perseverative errors, mean of nonperseverative errors, and conceptual level responses without significant difference (P ≥ 0.05) in the remaining indices. In ToL indices, there was highly significant difference (P < 0.001) between both groups regarding total time, but not regarding total moves (P ≥ 0.05). The defect in EF was positively correlated to the severity of symptoms of OCD. There was no significant difference between patients who had been receiving medical treatment and those who had not, also between patients who had comorbidities accompanying OCD and those who had not regarding EF as evident by both WCST measured parameters and TOL parameters. Conclusions: OCD patients appear to have EF deficits in the fields of set-shifting, inhibitory control, working memory, and planning ability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.