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Purpose This study aims to examine the predictive power of childhood adversity and severity of positive symptoms on suicidality, controlling for selected sociodemographics factors, among hospitalized patients diagnosed with schizophrenia in Jordan. Design/methodology/approach This study used a descriptive-explorative design. The study was conducted at two major psychiatric hospitals in Jordan. The targeted sample was 66 patients diagnosed with schizophrenia. Data was collected using a structured format in the period February–April 2024. Findings A two-step multiple hierarchical regression analysis was conducted. In the first model, childhood adversity and the severity of positive symptoms were entered. In the second model, sociodemographic variables were entered. The analysis revealed that the first model (F = 5.35, p = 0.007) was statistically significant. The second model (F = 717, p < 0.001) was statistically significant. Furthermore, the analysis revealed that childhood adversity was not a significant predictor for suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality. The analysis revealed that childhood adversity was not a significant predictor of suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality. Research limitations/implications One limitation of this study is related to the sample and the setting where there were only 66 patients recruited from governmental hospitals within inpatient wards. Thus, the upcoming studies should include more participants from private hospitals and different hospital settings including outpatient and emergency departments. Practical implications The research provides empirical insights that positive symptoms, age hospitalization and schizophrenia diagnosis length were significant predictors of suicidality. At the same time, childhood adversity was not a significant predictor of suicidality. Social implications The current research contributes to expanding mental health studies. Moreover, this study enlarges the body of knowledge in the academic world and clinical settings. It supports the disciplines of psychology, mental health and social sciences by increasing knowledge of the complicated relationships among childhood adversity, positive symptoms and suicidality. Originality/value This paper fulfills an identified need to study childhood adversity with comorbid psychiatric disorders such as schizophrenia, as well as psychiatric mental health covariates.
Purpose This study aims to examine the predictive power of childhood adversity and severity of positive symptoms on suicidality, controlling for selected sociodemographics factors, among hospitalized patients diagnosed with schizophrenia in Jordan. Design/methodology/approach This study used a descriptive-explorative design. The study was conducted at two major psychiatric hospitals in Jordan. The targeted sample was 66 patients diagnosed with schizophrenia. Data was collected using a structured format in the period February–April 2024. Findings A two-step multiple hierarchical regression analysis was conducted. In the first model, childhood adversity and the severity of positive symptoms were entered. In the second model, sociodemographic variables were entered. The analysis revealed that the first model (F = 5.35, p = 0.007) was statistically significant. The second model (F = 717, p < 0.001) was statistically significant. Furthermore, the analysis revealed that childhood adversity was not a significant predictor for suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality. The analysis revealed that childhood adversity was not a significant predictor of suicidality. However, positive symptoms and patients’ demographics (age, number of hospitalizations and length of being diagnosed with schizophrenia) were significant predictors of suicidality. Research limitations/implications One limitation of this study is related to the sample and the setting where there were only 66 patients recruited from governmental hospitals within inpatient wards. Thus, the upcoming studies should include more participants from private hospitals and different hospital settings including outpatient and emergency departments. Practical implications The research provides empirical insights that positive symptoms, age hospitalization and schizophrenia diagnosis length were significant predictors of suicidality. At the same time, childhood adversity was not a significant predictor of suicidality. Social implications The current research contributes to expanding mental health studies. Moreover, this study enlarges the body of knowledge in the academic world and clinical settings. It supports the disciplines of psychology, mental health and social sciences by increasing knowledge of the complicated relationships among childhood adversity, positive symptoms and suicidality. Originality/value This paper fulfills an identified need to study childhood adversity with comorbid psychiatric disorders such as schizophrenia, as well as psychiatric mental health covariates.
Objectives To assess the prevalence of Premenstrual Dysphoric Disorder (PMDD) and assess knowledge, attitude, and practice regarding Egyptian females. Methods This study used a cross-sectional, descriptive design to collect data from a gynecological outpatient clinic at Al-Azhar University Hospital in Damietta and the Obstetrics and Gynecology Specialty Center in Mansoura University Hospital. The study was conducted from April 2022 to August 2022. A self-administered questionnaire and screening tools were used for data collection. The tools used were the Premenstrual Symptoms Screening Tool (PSST), attitudes and practices related to PMDD care. Multivariate logistic regression analysis was conductedto predict PMDD knowledge. Results & Discussion The prevalence of PMDD was 10% among the 150 women who agreed to participate in this study. About 47% (n = 70) of the women had good PMDD knowledge. High educational level was a significant predictor of knowledge about PMDD. The majority of females (98%) believed that PMDD awareness is essential and that PMDD symptoms are caused by life stressors. Around half of the women who are diagnosed with PMDD (47.0% of the 10% of those diagnosed with PMDD) reported discussing the disorder with family members, and about one-third thought that this conversation was extremely beneficial. Husbands and friends were the most common source of social support (42.9%). Only 20% discussed the issue with a doctor, majority of who(66.7%) were psychiatrists. Conclusion PMDD is prevalent among Egyptian females; however, they have adequate knowledge and a positive attitude toward PMDD. There is a need to establish a maternal mental consultation at the reproductive and maternal health care unit to prevent and promote mental well-being and contact with PMDD and similar female mental problems. Synopsis The majority of the participants reported having adequate knowledge of PMDD and a positive attitude toward the significance of raising awareness of it. The significant predictor of PMDD knowledge was university education. Talking to family and friends was useful to overcome the symptoms of PMDD.
Background: The global outbreak of coronavirus disease 2019 (COVID-19) and its consequences compromise the health of Women of Reproductive Age (WRA). The aim of this study was to assess the level of knowledge, safety practices, and anxiety levels among WRA during COVID-19 outbreaks. Materials and Methods: A cross-sectional, correlational design was used to recruit a convenience sample of 453 WRA in Saudi Arabia. Data were collected using an electronic self-administered questionnaire of Spielberger state-trait anxiety and an adapted authors-developed knowledge and practices scale using an extensive literature review. Data were collected between September and December 2020 targeting all women in the country. Pearson correlation coefficient has been used to test correlation utilizing the Statistical Package for the Social Sciences (SPSS) 25. Results: The mean score of anxiety was 46.0 (13.40). Women have a high mean score of knowledge (24.50, standard deviation (SD) = 3.40) while having a low mean score of practices (19.70, SD = 3.10) indicating inappropriate practices. A significant difference was found in anxiety (t479 = 2.52, p = .012) and knowledge (t479 = −1.98, p = .048) between pregnant and non-pregnant women, while no statistically significant difference was found in relation to practices. The mean score of anxiety was higher among pregnant women than non-pregnant women, while a slightly higher mean score of knowledge was observed for non-pregnant women compared to pregnant ones. Conclusions: Although women had good knowledge about safety precautions, their practices did not indicate that. There is a need to educate women about safety practices and interventions that buffer their anxiety levels.
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