Purpose Since the emergence of a coronavirus disease (2019-nCoV) in December 2019, the whole world is in a state of chaos. Isolation strategy with quarantine is a useful model in controlling transmission and rapid spread. As a result, people remained at home and disrupted their outside daily activities. It led to the closure of educational institutes, which is a source of many students to cope with numerous personal and familial issues. This study aims to focus on exploring the relationships and potential mediational pathways between mental health problems, illness perception, anxiety and depression disorders. Design/methodology/approach The study incorporated snowball sampling techniques through a cross-sectional, Web-based survey and recruited 500 students from different universities of twin cities, Rawalpindi and Islamabad from March 23 to April 15, 2020, during the coronavirus outbreak lockdown. The study used four instruments, Beck Depression Scale, Beck Anxiety Inventory, Revised Illness Perception Questionnaire and The Warwick-Edinburgh Mental Well-being Scale for assessing depression, anxiety, illness perception and mental health disorders. Findings The findings indicated normal (43.2%), mild (20.5%), moderate (13.6%) and severe (22.7%) levels of anxiety prevalence in students. Results specified a normal (65.9%), mild (9.10%), moderate (9.12%) and severe (15.90%) depression prevalence and findings stipulated that anxiety disorder prevalence was higher than depression disorder. The correlational results specified a negative and significant relationship between mental health, illness perception, anxiety and depression symptoms. The multiple regression analysis stated that anxiety and depression disorders mediated the relationship between mental health and present illness perception. The perception of illness exhibited a relation to depression and anxiety disorders. Originality/value The study proposed a model to address mental health problems during the lockdown. The (2019-nCoV) illness perception developed mental disorders, including anxiety and depression, which has declined individuals’ mental health. There is an urgent need for ongoing clinical examination and management to address psychological disorders and findings suggest assessing mental health to combatting the pandemic worldwide. Findings recommend developing strategies to promote mental health-care facilities during COVID-19 wide-ranging disasters. These results highlight the impending importance of devising strategies to treat mental health problems.
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Purpose This study aims to explore the indigenous needs of married women in Pakistan due to the public health challenges they face due to marital conflict. The research focuses on investigating psychometric properties and cross-cultural validation of the revised dyadic adjustment scale’s (RDAS) Urdu translated version to assess marital relationship quality between married madrassa and non-madrassa women. The study examines empirically validated two-factor model (RDAS) between married madrassa and non-madrassa women (Busby et al., 1995; Hollist et al., 2012; Isanezhad et al., 2012; Christensen et al., 2006) and (Bayraktaroglu and Cakici, 2017). These studies approach including consensus, satisfaction and cohesion. Design/methodology/approach The investigators executed the study into two phases: a pilot test and the main survey. Findings The pilot study's findings specified that the Urdu translated version of the revised DAS indicated a decent internal consistency (a = 0.70). The overall revised DAS maintained a stronger test-retest correlation and tested it over 15 days (r = 0.95). The main study recorded 300 respondents' responses from madrassa and non-madrassa married women using a purposive sampling approach and recruited them from the locality of various madrassas and housing societies of Islamabad, Azad Kashmir and Rawalpindi, Pakistan. The study findings showed higher intercorrelations between total and subscales of the revised DAS. It further compared the groups with a multi-group confirmatory factor analysis (CFA) method and examined the revised DAS structure in married madrassa and non-madrassa women. Practical implications This study contributes to scientific knowledge and helps develop and validate indigenous cross-cultural instruments to examine marital life quality. It offers practical and reliable information about Pakistani couples' emotional attachment and marriage adjustment issues. Originality/value The study applied a three-factor solution, and it demonstrated a robust factorial validity in the context of Pakistani culture, which is a novel contribution to the literature.
Objectives: To study the relationship between dysfunctional schema modes and post-traumatic stress disorder among trauma survivors. Method: A cross-sectional study was conducted in public hospital (Pakistan Institute of Medical Sciences) Islamabad, Pakistan, from March 2019 to August 2019. Two scales were used, Schema Mode Inventory (SMI) for assessment of maladaptive and adaptive schema, whereas, for PTSD assessment, Clinician Administered PTSD Scale (CAPS-5) was used. Total 281 patients of TBI and orthopedic trauma were studied, of which 137 had been diagnosed with orthopedic trauma, 96 were TBI, and 48 had suffered from multiple injuries that were older than 18 years. Result: Simple linear regression showed that maladaptive schema mode was associated with PTSD. Moreover, the result showed that the prevalence of PTSD severity symptoms were greater in survivors with maladaptive than adaptive schema modes. Further result showed that PTSD Symptoms and dysfunctional schema modes were higher in moderate injured patient’s M (42.14) SD (7.36). In the same way, intentionally injured patient’s M (42.70) SD (6.92) and female trauma survivor’s M (42.05) SD (8.26) had higher PTSD symptoms. Conclusion: The findings of this study demonstrates that maladaptive schema mode leads to PTSD symptoms among trauma survivors with history of orthopedic injury, TBI and multiple injury patients. Keywords: PTSD Symptoms, Maladaptive Schema Modes, Continuous....
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