Discover mental health最新文献

Background: Some persons with obsessive-compulsive disorder (OCD) refuse or drop out of treatment because of the aversive nature of exposure and response prevention therapy when they have to face and tolerate unpleasant thoughts, emotions, and bodily sensations. Indeed, one study suggested that a higher willingness to experience unpleasant thoughts, emotions, and bodily sensations (WTE) predicts a better treatment outcome, but this finding has not been replicated yet.

Methods: We examined whether WTE at admission predicted treatment outcome in a sample of 324 inpatients with OCD who received a multimodal treatment that included cognitive-behavioral therapy with exposure and response prevention sessions.

Results: Obsessive-compulsive symptoms (based on OCD-specific self-report questionnaires) decreased with medium-to-large effect sizes (all ps < 0.001) and global functioning (based on therapist ratings) increased with a large effect size (d = 1.3, p < 0.001) from admission to discharge. In contrast to previous findings, however, WTE did not predict treatment outcome (all ps > 0.005). The effect of WTE on treatment outcome remained non-significant when controlling for any comorbidity, age, sex, length of stay, and antidepressant medication and was not moderated by these variables.

Conclusions: Results indicate that higher WTE at the beginning of inpatient treatment does not facilitate improvements in obsessive-compulsive symptoms from admission to discharge. However, they also indicate that lower WTE at the beginning of inpatient treatment does not adversely affect treatment outcome, that is, even patients who indicate that they are unwilling to face the negative experiences associated with exposure and response prevention can still achieve considerable symptom reductions.

Introduction: Due to the war in Tigray, 2.1 million people (31% of the total population) were internally displaced. Epidemiological evidence shows that the burden of mental health is higher in war/conflict and post-conflict areas of the world compared to non-conflict places, especially for those who have experienced targeted ethnic violence as a result of civil and political unrest. Post-traumatic stress disorder is one of the common psychiatric disorders experienced during war. Thus, this study aimed to assess the level and aggravating factors of PTSD during the war in Tigray.

Methods: A community-based cross-sectional study was conducted among 2132 IDP family heads in Tigray from August 6-30, 2021. Study participants were recruited using a multi-stage sampling technique. Data were collected using a pretested structured questionnaire through face-to-face interviews. The PCL-C checklist, derived from DSM-IV criteria, was used to assess the magnitude of post-traumatic stress disorder. The entered data were exported to the SPSS version 26 statistical package for analysis. Summary statistics were computed, and logistic regression analysis was used to investigate factors associated with developing PTSD.

Results: A total of 2071 IDPs were surveyed with a response rate of 99.7%. The survey revealed that the level of PTSD among community-hosted IDPs was 57.7%; 95% CI 55.5%-59.8%. Older age (> 50) (AOR 3.1, 95% CI 1.497-6.421), primary and secondary school attendance (AOR 2.1, 95% CI 1.344-3.279; and 1.697, 95% CI 1.067-2.7) respectively, internally displaced persons with a family size of > 6 members (AOR 1.821, 95% CI 1.124-2.95), disability due to the war (AOR 1.702, 95% CI 1.077-2.69), and loss of contact with family members (AOR 1.472, 95% CI 1.032-2.099) were significantly associated with PTSD.

Conclusion: The overall level of PTSD among cIDPs was found to be high (57.7%). Almost every other IDP developed this serious mental health syndrome. Immediate psycho-social health intervention is needed by local and international organizations in collaboration with governmental and non-governmental institutions based on the study's findings.

Background: This scoping review aimed to characterise near-death experiences in the setting of cardiac arrest, a phenomenon that is poorly understood and may have clinical consequences.

Method: PubMed/MEDLINE was searched to 23 July 2023 for prospective studies describing near-death experiences in cardiac arrest. PRISMA-ScR guidelines were adhered to. Qualitative and quantitative data were synthesised. Meta-analysis was precluded due to data heterogeneity.

Results: 60 records were identified, of which 11 studies involving interviews were included from various countries. Sample size ranged from 28-344, and proportion of female patients (when reported) was 0-50%, with mean age (when reported) ranging 54-64 years. Comorbidities and reasons for cardiac arrest were heterogeneously reported. Incidence of near-death experiences in the included studies varied from 6.3% to 39.3%; with variation between in-hospital (6.3-39.3%) versus out-of-hospital (18.9-21.2%) cardiac arrest. Individual variables regarding patient characteristics demonstrated statistically significant association with propensity for near-death experiences. Reported content of near-death experiences tended to reflect the language of the questionnaires used, rather than the true language used by individual study participants. Three studies conducted follow-up, and all suggested a positive life attitude change, however one found significantly higher 30-day all-cause mortality in patients with near-death experiences versus those without, in non-controlled analysis.

Conclusions: From prospective studies that have investigated the phenomenon, near-death experiences may occur in as frequent as over one-third of patients with cardiac arrest. Lasting effects may follow these events, however these could also be confounded by clinical characteristics.

Background: Frequent presenters (FPs) are a group of individuals who visit the hospital emergency department (ED) frequently for urgent care. Many among the group present with the main diagnosis of mental health conditions. This group of individual tend to use ED resources disproportionally and significantly affects overall healthcare outcomes. No previous reviews have examined the profiles of FPs with mental health conditions.

Aims: This study aims to identify the key socio-demographic and clinical characteristics of patients who frequently present to ED with a mental health primary diagnosis by performing a comprehensive systematic review of the existing literature.

Method: PRISMA guideline was used. PubMed, PsycINFO, Scopus and Web of Science (WOS) were searched in May 2023. A manual search on the reference list of included articles was conducted at the same time. Covidence was used to perform extraction and screening, which were completed independently by two authors. Inclusion and exclusion criteria were defined.

Results: The abstracts of 3341 non-duplicate articles were screened, with 40 full texts assessed for eligibility. 20 studies were included from 2004 to 2022 conducted in 6 countries with a total patient number of 25,688 (52% male, 48% female, mean age 40.7 years old). 27% were unemployed, 20% married, 41% homeless, and 17% had tertiary or above education. 44% had a history of substance abuse or alcohol dependence. The top 3 diagnoses are found to be anxiety disorders (44%), depressive disorders (39%) schizophrenia spectrum and other psychotic disorders (33%).

Conclusion: On average, FPs are middle-aged and equally prevalent in both genders. Current data lacks representation for gender-diverse groups. They are significantly associated with high rates of unemployment, homelessness, lower than average education level, and being single. Anxiety disorder, depressive disorder, and schizophrenia spectrum disorders are the most common clinical diagnoses associated with the group.

There has been concern about adolescent mental health during the pandemic. The current study examined adolescent mental health during the initial phase of the COVID-19 pandemic in the UK. Using indicator of psychological distress, wellbeing and resilience, latent profile analysis was used to identify homogeneous mental health groups among young people aged 13-24 (N = 1971). Multinomial logistic regression was then used to examine which sociodemographic and psychosocial variables predicted latent class membership. Four classes were found. The largest class (Class 1, 37.2%) was characterised by moderate symptomology and moderate wellbeing. Class 2 (34.2%) was characterised by low symptomology and high wellbeing, while Class 3 (25.4%) was characterised by moderate symptomology and high wellbeing. Finally, Class 4 was the smallest (3.2%) and was characterised by high symptomology and low wellbeing. Compared to the low symptomology, high wellbeing class, all other classes were associated with less social engagement with friends, poorer family functioning, greater somatic symptoms, and a less positive model of self. A number of unique associations between the classes and predictor variables were identified. Although around two-thirds of adolescents reported moderate-to-high symptomology, most of these individuals also reported concurrent moderate-to-high levels of wellbeing, reflecting resilience. Furthermore, these findings demonstrate how a more comprehensive picture of mental health can be gained through adopting a dual-continua conceptualisation of mental health that incorporates both pathology and well-being. In this way, at-risk youth can be identified and interventions and resources targeted appropriately.

This bibliometric review aims to identify key actors in the behavioral health services availability/accessibility literature. Coalescing information about these actors could support subsequent research efforts to improve the availability and accessibility of behavioral health services. The authors used a scoping review method and a bibliometric approach. The articles came from Medline, Embase, Web of Science, CINAHL, and PsycINFO. Articles were included if they assessed behavioral health service availability or accessibility quantitatively and were written in English. The final sample included 265 articles. Bibliometric data were extracted, coded, and verified. The authors analyzed the data using univariate and social network analyses. Publishing in this area has become more consistent and has grown since 2002. Psychiatric Services and Graduate Theses were the most frequently used publication venues. The National Institute on Drug Abuse, National Institute of Mental Health, and the Veterans Administration funded the most research. The most frequently used keyword was "health services accessibility." The findings suggest that this literature is growing. There are a few clusters of researchers in this area. Government organizations primarily fund this research. The paper and supplementary materials list the top researchers, publication venues, funding sources, and key terms to promote further behavioral health availability/accessibility research.

The clinical burden of mental illness, in particular schizophrenia and bipolar disorder, are driven by frequent chronic courses and increased mortality, as well as the risk for comorbid conditions such as cardiovascular disease and type 2 diabetes. Evidence suggests an overlap of molecular pathways between psychotic disorders and somatic comorbidities. In this study, we developed a computational framework to perform comorbidity modeling via an improved integrative unsupervised machine learning approach based on multi-rank non-negative matrix factorization (mrNMF). Using this procedure, we extracted molecular signatures potentially explaining shared comorbidity mechanisms. For this, 27 case-control microarray transcriptomic datasets across multiple tissues were collected, covering three main categories of conditions including psychotic disorders, cardiovascular diseases and type II diabetes. We addressed the limitation of normal NMF for parameter selection by introducing multi-rank ensembled NMF to identify signatures under various hierarchical levels simultaneously. Analysis of comorbidity signature pairs was performed to identify several potential mechanisms involving activation of inflammatory response auxiliarily interconnecting angiogenesis, oxidative response and GABAergic neuro-action. Overall, we proposed a general cross-cohorts computing workflow for investigating the comorbid pattern across multiple symptoms, applied it to the real-data comorbidity study on schizophrenia, and further discussed the potential for future application of the approach.