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OBJECTIVE: Women in pathological pregnancy are a group of patients especially exposed to the risk of occurrence of psychological complications. The aim of the study was assessment of the risk of depressive and anxiety disorders, and the relationship between the intensity of symptoms and social support.
METHODS: The study group were 300 patients hospitalized in the Department of Pathology of Pregnancy. The study was conducted using the State-Trait Anxiety Inventory (STAI), the Hospital Anxiety and Depression Scale (HADS), the Inventory of Socially Supportive Behaviours (ISSB), and an author-constructed socio-demographic questionnaire.
RESULTS: The level of State Anxiety (STAI) was higher in respondents from the study group, compared to the control group. The level of anxiety (HADS-A) was higher in the control group than in women from the study group. The level of social informational support was higher in those from the control group, compared to those from the study group. The level of emotional support was lower in respondents from the study group, compared to those from the control group. Instrumental support negatively correlated with the symptoms of depression among women in physiological pregnancy. The lack of evaluative support statistically significantly correlated with anxiety among women hospitalized before labour.
CONCLUSIONS: The results obtained suggest the necessity for the substantive preparation of medical and psychological staff employed in departments of pathology of pregnancy to provide proper emotional and informational support for hospitalized women.

UNASSIGNED: Less than three decades ago, depression was seen as a predominantly adult disorder as children were considered too developmentally immature to experience depressive disorders, and adolescent low mood was considered as part of \'normal\' teenage mood swings. Major depressive disorder in children and adolescents is a serious psychiatric illness especially in paediatric surgical patients. This may be due to their altered metabolic rate and heighten metabolic response to trauma which has significant implications for the psychological development of the child, yet it remains under-recognized and undertreated. The well-being of the care givers is also not left out as the care givers are inundated with the task of sourcing and providing finance for hospital care., in addition to the stress of providing care for the patient. This may result in loss of man hour, sleeplessness, and physical exhaustion associated with caring for these ill children which can ultimately significantly increase the risk of them having depressive episode. The aim of this commentary is to highlight the fact that paediatric surgical patients are not exempt to having a major depressive disorder and the care givers should also be evaluated during hospital admission of their wards.
UNASSIGNED: This is a commentary on depressive disorders among Nigerian paediatric surgical patients. Related publications on children and adolescents presenting to hospital were searched using the domain - Depression in Nigerian adolescent, Paediatric surgery patients on PubMed, Google Scholar, and MEDLINE to appraise this review.
UNASSIGNED: Mood disorders, especially depression in children and adolescents have been studied increasingly over the last two decades and surgical conditions worsen the outlook, culminating in increased knowledge about the presentation, and treatment. Despite this, it is still often missed or misdiagnosed because it sometimes presents with uncharacteristic symptoms. Prevalence of depressiion among paediatric surgical patient were found to be between 46-82% in this review among Nigerian patients.

OBJECTIVE: Research in adults suggests that intrusive memories and intrusive thoughts (often referred to as intrusive cognitions) are common in members of the general population and are often seen in clinical disorders. However, little is known about the experience of intrusive cognitions in adolescents, particularly in adolescents with major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). The present study sought to gather fundamental data on these phenomena (i.e., frequency, characteristics and appraisals of intrusive cognitions) in adolescents with MDD and PTSD.
METHODS: Adolescents aged 11-18 with MDD (n = 11), PTSD (n = 13) and a non-clinical control group (n = 25) completed structured interviews concerning their intrusive memories and thoughts.
RESULTS: Intrusive thoughts were common in all three groups but were particularly frequently experienced in the MDD group. Intrusive memories were expectedly very common in the PTSD group but also experienced by over half of the adolescents with MDD. Both clinical groups reported more negative emotions in response to their intrusive thoughts or memories and appraised these cognitions more negatively than the non-clinical group.
CONCLUSIONS: Intrusive memories and thoughts are common experiences in adolescents with MDD and PTSD. Emotions and appraisals relating to these cognitions may be targets for psychological intervention in this age group. However, small sample sizes limit the conclusions that can be drawn. Replication is needed with larger numbers of clinical participants.

Depressive disorders are a growing problem worldwide. They are also characterized by high comorbidity, including from the circle of dermatological diseases. Autoimmune diseases seem to be particularly correlated with depressive comorbidity, raising the question of their possible common pathomechanism. The PubMed database was searched, focusing on results published after 2016. A particular reciprocal correlation of depressive disorders with psoriasis, atopic dermatitis, alopecia areata, impetigo, lupus and systemic scleroderma was found. One possible explanation for the co-occurrence of the above diseases is that the inflammatory theory may be applicable to depression, the various elements of which also apply to autoimmune diseases.

UNASSIGNED: This review evaluates the use of smartphone-based voice data for predicting and monitoring depression.
UNASSIGNED: A scoping review was conducted, examining 14 studies from Medline, Scopus, and Web of Science (2010-2023) on voice data collection methods and the use of voice features for minitoring depression.
UNASSIGNED: Voice data, especially prosodic features like fundamental frequency and pitch, show promise for predicting depression, though their sole predictive power requires further validation. Integrating voice with multimodal sensor data has been shown to improve accuracy significantly.
UNASSIGNED: Smartphone-based voice monitoring offers a promising, noninvasive, and cost-effective approach to depression management. The integration of machine learning with sensor data could significantly enhance mental health monitoring, necessitating further research and longitudinal studies for validation.

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BACKGROUND: Cerebral resting-state networks were suggested to be strongly associated with depressive disorders. However, the causal relationship between cerebral networks and depressive disorders remains controversial. In this study, we aimed to investigate the effect of resting-state networks on depressive disorders using a bidirectional Mendelian randomization (MR) design.
METHODS: Updated summary-level genome-wide association study (GWAS) data correlated with resting-state networks were obtained from a meta-analysis of European-descent GWAS from the Complex Trait Genetics Lab. Depression-related GWAS data were obtained from the FinnGen study involving participants with European ancestry. Resting-state functional magnetic resonance imaging and multiband diffusion imaging of the brain were performed to measure functional and structural connectivity in seven well-known networks. Inverse-variance weighting was used as the primary estimate, whereas the MR-Pleiotropy RESidual Sum and Outliers (PRESSO), MR-Egger, and weighted median were used to detect heterogeneity, sensitivity, and pleiotropy.
RESULTS: In total, 20,928 functional and 20,573 structural connectivity data as well as depression-related GWAS data from 48,847 patients and 225,483 controls were analyzed. Evidence for a causal effect of the structural limbic network on depressive disorders was found in the inverse variance-weighted limbic network (odds ratio, [Formula: see text]; 95% confidence interval, [Formula: see text]; [Formula: see text]), whereas the causal effect of depressive disorders on SC LN was not found(OR=1.0025; CI,1.0005-1.0046; P=0.012). No significant associations between functional connectivity of the resting-state networks and depressive disorders were found in this MR study.
CONCLUSIONS: These results suggest that genetically determined structural connectivity of the limbic network has a causal effect on depressive disorders and may play a critical role in its neuropathology.

BACKGROUND: The relationship between opioid use and the incidence of psychiatric disorders remains unidentified.
OBJECTIVE: This study examined the association between the incidence of psychiatric disorders and opioid use.
METHODS: Data for this population-based cohort study were obtained from the National Health Insurance Service of South Korea. The study included all adult patients who received opioids in 2016. The control group comprised individuals who did not receive opioids in 2016, and were selected using a 1:1 stratified random sampling procedure. Patients with a history of psychiatric disorders diagnosed in 2016 were excluded. The primary end-point was the diagnosis of psychiatric disorders, evaluated from 1 January 2017 to 31 December 2021. Psychiatric disorders included schizophrenia, mood disorders, anxiety and others.
RESULTS: The analysis included 3 505 982 participants. Opioids were prescribed to 1 455 829 (41.5%) of these participants in 2016. Specifically, 1 187 453 (33.9%) individuals received opioids for 1-89 days, whereas 268 376 (7.7%) received opioids for ≥90 days. In the multivariable Cox regression model, those who received opioids had a 13% higher incidence of psychiatric disorder than those who did not (hazard ratio 1.13; 95% CI 1.13-1.14). Furthermore, both those prescribed opioids for 1-89 days and for ≥90 days had 13% (hazard ratio 1.13, 95% CI 1.12-1.14) and 17% (hazard ratio 1.17, 95% CI 1.16-1.18) higher incidences of psychiatric disorders, respectively, compared with those who did not receive opioids.
CONCLUSIONS: This study revealed that increased psychiatric disorders were associated with opioid medication use. The association was significant among both short- and long-term opioid use.