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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: Adolescent mental health issues are emerging as a significant public health concern across many low- and middle-income countries, particularly in Africa. This study aims to evaluate the aggregated prevalence and contributing risk factors of mental health distress among adolescents in Africa. METHODOLOGY: A comprehensive search of PubMed, PsycINFO, Web of Science, Google Scholar, and HINARI databases was conducted to identify relevant articles on the prevalence and risk factors associated with mental health distress among African adolescents, published up to December 2023. The quality of the selected studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Heterogeneity among the studies was evaluated using the I² statistical test. Potential publication bias was assessed through a funnel plot and Egger's statistical test. This systematic review was registered with PROSPERO under reference number CRD42023494665. RESULTS: Eighteen studies encompassing data from 37,016 adolescents were included in the analysis. The overall prevalence of mental health distress among adolescents in Africa was found to be 27.34% (95% CI: 23.18-31.50). The occurrence of mental health distress is observed in older adolescents at a prevalence of 29.44% (95% CI: 23.26-35.66) and in younger adolescents at 24.73% (95% CI: 11.96-37.51). Significant risk factors identified included bullying victimization, with an odds ratio (POR) of 1.30 (95% CI: 1.16, 1.46), and experiencing hunger, with an odds ratio (POR) of 2.10 (95% CI: 1.13, 3.91). CONCLUSION: The findings indicate a high prevalence of mental health distress among adolescents in Africa, highlighting the widespread impact on this demographic. These results underscore the urgent need for targeted interventions to prevent and address mental health distress among adolescents. Further research on a global scale is essential to develop effective prevention and treatment strategies tailored to this age group.
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Background: Post-traumatic stress disorder (PTSD) is a significant mental health concern globally, particularly prevalent in populations exposed to war and conflict. This systematic review and meta-analysis aim to examine the prevalence and factors associated with PTSD among the Ethiopian population residing in war-affected communities. Methods: The review was reported according to the PRISMA guidelines. Related eligible published articles were searched in electronic online databases such as PubMed, Scopus, Web of Science, MEDLINE/PubMed, Scopus, Embase, Science Direct, Web of Science, Google Scholar, and Google, which reported the prevalence and risk factors of PTSD among people dwelling in the war-affected area until January 2024. The relevant data was extracted using a Microsoft Excel spreadsheet. The meta-analysis was conducted using STATA version 11. The estimated pooled prevalence and risk factors were estimated using a random effect model. The potential risk of publication bias was checked using a funnel plot and Egger's statistical test. Results: A total of nine published studies with 6107 participants were analyzed in this meta-analysis. The estimated pooled prevalence of PTSD among people living in war-affected areas was 48.4%, with a 95% CI (37.1, 59.8). This study found a higher prevalence of PTSD among women than men. Being female (OR= 2.2, 95% CI: 1.2, 4.3), witnessing a murder of a loved one (OR= 3.0, 95% CI: 1.2, 7.5), depression symptoms (OR= 2.8, 95% CI: 1.4, 5.6), and anxiety symptoms (OR= 3.4, 95% CI: 1.4, 8.0), a close family member killed or seriously injured (OR= 3.1, 95% CI: 1.2, 7.7), a moderate and high perceived threat to life (OR= 3.4, 95% CI: 1.3, 9.1), and poor social support (OR= 4.4, 95% CI: 1.1, 18.7) were associated with post-traumatic stress disorder. Conclusion: The result of this study shows the high prevalence rate of PTSD in people living in war-affected areas. disparities in PTSD prevalence, with women being at higher risk, and identified risk factors were witnessing the murder of a loved one, experiencing depression and anxiety, and perceived threat to life. Addressing PTSD in war-affected communities requires comprehensive interventions that consider both individual and contextual factors. Systematic review registration: www.crd.york.ac.uk/PROSPERO/, identifier CRD42024501384.
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Background: Depression is a serious mental health issue and the largest contributor to disability worldwide. Elderly people with depression are significantly more likely to experience negative outcomes such as poor physical health, strained social relationships, and decreased quality of life. Studies on geriatric depression are limited in developing nations like Ethiopia. Objectives: The purpose of this study was to determine the prevalence of depressive symptoms and associated factors among older adults in Yirgalem, Southern Ethiopia, in 2022. Methods: A community-based cross-sectional study was conducted on a sample of 628 older adults in Yirgalem town from May 15 to June 15, 2022. The study subjects were selected using a multi-stage systematic sampling technique. Data were collected using the 15-item Geriatric depression scale through face-to-face interviews. The collected data were edited, cleaned, coded, and entered into Epi data version 4.6 software and analyzed using STATA version 14. Bivariable and multivariate logistic regression analysis was computed to identify factors associated with depression, and statistical significance was declared at a 95% confidence interval with a P-value less than 0.05. Results: A total of 620 older adults were included in the study, with a response rate of 97.8%. The prevalence of depressive symptoms among older adults was 51.77% (95% CI: 47.83-55.69). Being a woman (AOR = 2.3, 95% CI: 1.56-3141); being of more advanced age: 70-79 years old (AOR = 1.92, 95% CI: 1.20-3.07), 80-89 years old (AOR = 2.15, 95% CI: 1.27-3.65), 90 and older (AOR = 3.77, 95% CI: 1.95-7.79); living alone (AOR = 1.99, 95% CI = 1.17-3.41); having a chronic illness (AOR = 3.24, 95% CI: 1.06-4.46); having anxiety (AOR = 3.40; 95% CI: 2.25-5.14); and having poor social support (AOR = 3.56, 95% CI: 2.09-6.04) were statistically associated with depressive symptoms at a P-value of less than 0.05. Conclusion: This study found that depression affects more than half of the elderly residents in the study area. More advanced age, being a woman, living alone, having a chronic illness, having anxiety, and having poor social support were all strongly linked to depression. There is a need to integrate counseling and psychiatric services into the community healthcare system.
