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Background: Premenstrual dysphoric disorder (PMDD) is the most prevalent but neglected psychiatric disorder, with somatic symptoms that are severe enough to markedly affect usual daily activities and have a negative impact on mental health and quality of life by affecting female patients' behavior and cognition. Studies regarding premenstrual dysphoric disorder and associated factors among high school students in low- and middle-income countries are limited. Therefore, the aim of this study was to assess the prevalence and associated factors of PMDD among high school students, and this is pivotal in further investigation. Methods: A school-based cross-sectional study was conducted from March 25 to April 17, 2023 using a simple random-sampling technique to select a sample of 564 participants. Premenstrual dysphoric disorder was assessed using the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Self-administered standardized questionnaires were used to collect data. Result: A total of 548 study participants participated, with a 97.2% response rate. The prevalence of premenstrual dysphoric disorder among high school students was found to be 33.03% (95%CI: 29.20-37.09). In a multivariable analysis, irregular menstruation cycle (AOR = 4.242, 95%CI = 2.182-8.246), depression (AOR = 5.272, 95%CI = 2.779-10.002), having greater than 4 days of menstruation bleeding duration (AOR = 2.138, 95%CI = 1.105-4.138), and high perceived stress (AOR = 3.468, 95%CL = 1.217-9.880) were the factors significantly associated with premenstrual dysphoric disorder. Conclusion: The overall prevalence of PMDD which was one-third among high school students was high. Moreover, long duration of menstruation bleeding, depressive symptoms, irregular menstruation cycle, and high perceived stress were significant factors in PMDD. Therefore, it needs early screening and intervention in primary healthcare settings, especially for those who have high perceived stress, having depression, having a long duration of menstruation bleeding, and having an irregular menstruation cycle, so as to have good academic achievement and psychological wellbeing.
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BACKGROUND: Poor sleep quality is a serious concern among diabetes mellitus patients, adversely affecting glycemic management and the prognosis of diabetic patients. Therefore, the main aim of this study was to estimate the overall pooled prevalence of poor sleep quality and its associated factors among diabetic patients in Sub-Saharan Africa. METHODS: Several search databases were employed to retrieve the eligible studies. A standardized data extraction format was used to extract the data, and the analysis was conducted using STATA version 14. To determine heterogeneity, the I2 test was conducted, and both the funnel plot and Egger's regression test were used to assess the publication bias. A random effects model meta-analysis was performed to estimate the overall prevalence and associated factors of poor sleep quality. RESULTS: In the current meta-analysis, a total of 11 studies with 3,766 study participants were included. The overall pooled prevalence of poor sleep quality among diabetic patients was 53.22% (95% CI: 36.26, 70.19). Poor sleep quality was significantly associated with longer duration of diabetes (OR = 2.94, 95% CI: 1.85, 4.67), poor glycemic control (OR = 2.24, 95% CI: 1.51, 3.32), depression (OR = 4.09, 95% CI: 2.07, 8.05) and comorbidity (OR = 1.94, 95% CI: 1.31, 2.88). CONCLUSION: In this study, more than half of diabetic patients in Sub-Saharan Africa had poor sleep quality. Therefore, healthcare providers should give more attention to sleep disorders when screening diabetic patients to improve their poor sleep quality.
RESUMO
OBJECTIVE: To assess the prevalence and associated factors of neurocognitive disorder among people living with HIV/AIDS in South Gondar primary hospitals, North-West Ethiopia, 2023. DESIGN: Institution-based cross-sectional study design. SETTING: South Gondar primary hospitals, North-West Ethiopia. PARTICIPANTS: 608 participants were recruited using the systematic random sampling technique. MEASUREMENT: Data were collected using an interviewer-administered questionnaire and medical chart reviews. The International HIV Dementia Scale was used to screen for neurocognitive disorder. The data were entered through EPI-DATA V.4.6 and exported to SPSS V.21 statistical software for analysis. In the bivariable logistic regression analyses, variables with a value of p<0.25 were entered into a multivariable logistic regression analysis to identify factors independently associated with neurocognitive disorder. Statistical significance was declared at a value of p<0.05. RESULTS: The prevalence of neurocognitive disorder among HIV-positive participants was 39.1%. In multivariable logistic regression, lower level of education (adjusted OR (AOR)=2.94; 95% CI 1.29 to 6.82), unemployment (AOR=2.74; 95% CI 1.29 to 6.84) and comorbid medical illness (AOR=1.80; 95% CI 1.03 to 3.14) were significantly associated with neurocognitive disorder. CONCLUSION: HIV-associated neurocognitive problems affected over a third of the participants. According to the current study, comorbid medical conditions, unemployment and low educational attainment are associated with an increased risk of neurocognitive disorder. Therefore, early detection and treatment are essential.
