Despite a large amount of research on depression and abuse, there is still a controversy on how abuse is measured and on childhood trauma’s effect on the physiological function of adults. Here, we attempt to clarify the relationship between different types of abuse and depression while focusing on childhood abuse. This article, unlike prior research, provides an overview that addresses physical, psychological, and sexual abuse and their psychological impact on the victims. Results show that abuse is a vulnerability factor for a variety of mental and physical health problems and that psychological abuse is strongly associated with depression. More research is needed to understand (a) the role of abuse in the development and maintenance of depression and, in particular, longitudinal studies that also account for the large number of risk and protective factors that influence this relationship and (b) how different types of abuse can influence response to treatment among survivors with depression, in order to provide effective trauma-focused approaches to manage depressive symptoms.
Major depressive disorder (MDD) symptoms commonly occur after trauma-exposure, both alone and in combination with post-traumatic stress disorder (PTSD). This article reviews recent research on comorbidity between these disorders, including its implications for symptom severity and response to treatment. Despite considerable symptom overlap, the two disorders represent distinct constructs and depend, at least in part, on separate biological mechanisms. Both, however, are also clearly related to stress psychopathology. We recommend that more research focus specifically on the study of individual differences in symptom expression in order to identify distinct subgroups of individuals and develop targeted treatments. However, a barrier to this line of inquiry is the trend of excluding particular patients from clinical trials of new interventions based on symptom severity or comorbidity. Another obstacle is the overreliance on self-report measures in human research. We argue that developing computer-based behavioral measures in order to supplement self-report can help address this challenge. Furthermore, we propose that these measures can help tie findings from human and non-human animal research. A number of paradigms have been used to model MDD-and PTSD-like behavior in animals. These models remain valuable for understanding the biological basis of these disorders in humans and for identifying potential interventions, but they have been underused for the study of comorbidity. Although the interpretation of animal behavior remains a concern, we propose that this can also be overcome through the development of close human analogs to animal paradigms.
Purpose The COVID-19 pandemic resulted in a sudden shift from face-to-face to distance learning. We explored medical students’ views of online learning during this pandemic at the Arabian Gulf University in Bahrain. Methods This was a cross-sectional study of students in years two, three and four (n= 559) using an electronic questionnaire. Data were collected from April 10 to May 5, 2021. The survey included three domains: behavioral, affective, and cognitive. We also analyzed the association between students’ perceptions and certain demographic and institutional factors. Results The number of respondents was 311 (response rate: 55.6%; 27.7% males, 72.3% females). Participants were generally satisfied with distance learning (54.6%), although they had less motivation (46.3%) and required more effort (32.2%). Most students preferred distance learning for theoretical parts, and face-to-face approach for practical components (73.3%). Participants reported that distance learning, improved interaction with instructors and classmates (45.6% and 48.9%, respectively), small group learning (47.6%), independent learning (75.3%) and problem-solving skills (44.7%). The students were comfortable with online assessment (60.1%), and reported improved achievement in written (42.1%) and practical examinations (46%), but not in professional skills grades (21.6%). There was no association between students’ perceptions and gender (p= 0.079), year of study (p= 0.28) or attendance of live or recorded sessions (p= 0.904), but there was a positive association with the availability of WiFi (p< 0.01) and attendance of college-organized activities (p< 0.0001). Conclusion Distance learning was successfully implemented during the COVID-19 pandemic. Students were generally satisfied with distance learning and online assessment, but they had concerns about the clinical skills learning. After the pandemic is over, theoretical components of the curriculum can be delivered using distance learning, whereas hands on elements should be offered face-to-face. However, those curricular reforms will likely need investing in the information technology infrastructure.
While there are many studies on pareidolia in healthy individuals and patients with schizophrenia, to our knowledge, there are no prior studies on pareidolia in patients with bipolar disorder. Accordingly, in this study, we, for the first time, measured pareidolia in patients with bipolar disorder (N = 50), and compared that to patients with schizophrenia (N = 50) and healthy controls (N = 50). We have used (a) the scene test, which consists of 10 blurred images of natural scenes that was previously found to produce illusory face responses and (b) the noise test which had 32 black and white images consisting of visual noise and 8 images depicting human faces; participants indicated whether a face was present on these images and to point to the location where they saw the face. Illusory responses were defined as answers when observers falsely identified objects that were not on the images in the scene task (maximum illusory score: 10), and the number of noise images in which they reported the presence of a face (maximum illusory score: 32). Further, we also calculated the total pareidolia score for each task (the sum number of images with illusory responses in the scene and noise tests). The responses were scored by two independent raters with an excellent congruence (kappa > 0.9). Our results show that schizophrenia patients scored higher on pareidolia measures than both healthy controls and patients with bipolar disorder. Our findings are agreement with prior findings on more impaired cognitive processes in schizophrenia than in bipolar patients.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.