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European Child & Adolescent Psychiatry Jun 2024Previous research has linked attention deficit hyperactivity disorder (ADHD) with an increased risk of all-cause mortality, primarily owing to unnatural causes such as...
BACKGROUND
Previous research has linked attention deficit hyperactivity disorder (ADHD) with an increased risk of all-cause mortality, primarily owing to unnatural causes such as accidents and suicides. This increase may be attributable to the co-occurrence of major psychiatric disorders, including schizophrenia (SCZ), bipolar disorder (BD), major depressive disorder (MDD), autism spectrum disorder (ASD), anxiety disorders, substance use disorders (SUDs), and personality disorders (PDs). This study examined the all-cause and specific-cause mortality rates in individuals with ADHD and the influence of psychiatric comorbidities.
METHODS
Between 2003 and 2017, 1.17 million individuals were enrolled in the study, of which 233,886 received a diagnosis of ADHD from the Taiwan's National Health Insurance Research Database. A 1:4 sex- and birth year-matched control group without ADHD was also included. Hazard ratios (HRs) for mortality rates were estimated between groups after adjusting for demographic data.
RESULTS
During the follow-up period, 781 individuals with ADHD died. The HR for all-cause mortality was 1.45 (95% confidence interval [CI]: 1.30-1.61), largely owing to unnatural causes, particularly suicide. Suicide rates were particularly high in individuals with ADHD and psychiatric comorbidities: the HRs for suicide were 47.06 in ADHD with SUDs (95% CI: 6.12-361.99), 32.02 in ADHD with SCZ (7.99-128.29), 23.60 in ADHD with PDs (7.27-76.66), 10.11 in ADHD with anxiety disorders (5.74-17.82), 9.30 in ADHD with BD (4.48-19.33), 8.36 in ADHD with MDD (5.66-12.35), and 6.42 in ADHD with ASD (1.83-22.53) relative to ADHD only.
DISCUSSION
ADHD was associated with increased mortality rates, primarily owing to suicide. The presence of major psychiatric comorbidities was associated with a further increase in suicide mortality risk.
PubMed: 38916769
DOI: 10.1007/s00787-024-02511-w -
Ibrain 2024The Perrotta Integrative Clinical Interview, second version (PICI-2) requires structural and functional updates, based on clinical and academic experience, especially in...
Perrotta Integrative Clinical Interviews-3 (PICI-3): Development, regulation, updation, and validation of the psychometric instrument for the identification of functional and dysfunctional personality traits and diagnosis of psychopathological disorders, for children (8-10 years), preadolescents...
The Perrotta Integrative Clinical Interview, second version (PICI-2) requires structural and functional updates, based on clinical and academic experience, especially in terms of functional traits and interpretation of psychopathological disorders. The Perrotta Integrative Clinical Interviews-3 (PICI-3) was created and structured into four sections, dedicated to dysfunctional traits in children and pre-adolescents (PICI-C-3, 8-13 years) and in adolescents, adults, and the elderly (PICI-TA-3, 14-90 years), to common secondary disorders (PICI-DS-3, 8-90 years) and functional traits (PICI-FT-3, 8-90 years), with the identification of all functional elements and structural aspects of personality according to the model underlying the PICI (IPM). Selecting 1732 subjects, between 8 and 90 years old, the statistical analysis showed that the psychometric test has a well-defined and stable construct, with the variables well represented and positively correlated with other constructs already validated. In particular: (a) the PICI-TA-3 (Section A) was compared with the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF), obtaining 99.3% compatibility of results, with a Pearson's coefficient () of 0.999 and < 0.001; (b) the PICI-C-3 (Section B) was compared with the Child Behavior Checklist (CBCL), obtaining 94.1% compatibility of results, with a Pearson coefficient () of 0.969 and < 0.001; (c) the PICI-FT-3 (Section D) was compared with the Big Five Personality Test (Big5), obtaining 89.4% compatibility of results, with a Pearson coefficient () of 0.797 and < 0.001. The PICI-3 is a valid, efficient, and effective psychometric tool to identify the functioning or dysfunction of personality traits for psychopathological diagnosis.
PubMed: 38915942
DOI: 10.1002/ibra.12148 -
Zeitschrift Fur Psychosomatische... Jun 2024Outpatient clinics affiliated with psychotherapeutic training institutions play a crucial role in ensuring the quality of future psychotherapists' training.
UNLABELLED
Outpatient clinics affiliated with psychotherapeutic training institutions play a crucial role in ensuring the quality of future psychotherapists' training.
OBJECTIVE
In the present study we examined the characteristics of patients in terms of sym\u0002ptomatology and psychodynamic dimensions.
METHODS
The study utilized online questionnaires completed by n = 421 patients between September 2020 and March 2021. These questionnaires gathered information on sociodemo\u0002graphics, symptomatology (PHQ-D), relationship dynamics (IIP), personality functioning (OPD-SQS, IPO-16), and intrapsychic conflicts (OPD-KF).
RESULTS
The sample consisted of 71.0 % females, with 65 % having prior experience with psy\u0002chotherapeutic treatments. Notably, 74.9 % of the patients fulfilled the criteria of a depressive disorder in PHQ-D (with 34.8 % identified as Major Depressive Disorder, MDD). Additional\u0002ly, 53.1 % of all patients surpassed the threshold for the diagnosis of a personality disorder based on the IPO-16.
DISCUSSION
Findings suggest that patients seeking treatment at these clinics exhibit signifi\u0002cant psychological distress and often have a history of prior psychotherapeutic interventions.
PubMed: 38912875
DOI: 10.13109/zptm.2024.71.oa1 -
Psychology Research and Behavior... 2024Dissociation is a necessary part of our threat response system, common to all animal species, normally temporarily activated under conditions of extreme or inescapable... (Review)
Review
PURPOSE
Dissociation is a necessary part of our threat response system, common to all animal species, normally temporarily activated under conditions of extreme or inescapable threat. Pathological dissociation, however, continues to occur after the initial threat has passed, in response to reminders or inaccessibility of safety and security. Present across the spectrum of psychiatric diagnoses, recurrent dissociative symptoms are linked to severe trauma exposure, insecure attachment, treatment non-response, and maladaptive coping behaviors such as substance use, suicidality, and self-harm. However, empirical studies testing treatments specific to dissociative processes remain scarce. This narrative review summarizes existing studies and provides theoretical, neurobiological, and evolutionary perspectives on dissociative processes and treatments for pathological dissociation.
METHODS
A systematic search of five databases (MEDLINE, EMBASE, APA PsycINFO, CINAHL plus, Scopus) was conducted on April 13, 2023. Peer-reviewed clinical studies with adult participants, assessing intervention effects on dissociative symptoms, were included. Results were thematically analyzed and summarized.
RESULTS
Sixty-nine studies were identified, mainly focused on posttraumatic stress disorder, trauma-exposed populations, and borderline personality disorder. Psychotherapy was studied in 72.5% of studies; other interventions included medications and neurostimulation. The majority reported positive outcomes, despite the heterogeneous spectrum of interventions. However, treatment of dissociative symptoms was the primary objective in only a minority.
CONCLUSION
Pathological dissociation is a complex phenomenon involving brain and body systems designed for perceiving and responding to severe threats, requiring an individualized approach. A literature is emerging regarding potentially evidence-based treatments to help those impacted by recurrent dissociative symptoms. When contextualized within a neurobiological and evolutionary perspective, these treatments can be understood as facilitating an internal and/or relational sense of safety, resulting in symptom reduction. Further studies are needed to explore effective treatments for dissociative symptoms.
PubMed: 38912158
DOI: 10.2147/PRBM.S402456 -
BMJ Open Jun 2024Generation Scotland (GS) is a large family-based cohort study established as a longitudinal resource for research into the genetic, lifestyle and environmental...
PURPOSE
Generation Scotland (GS) is a large family-based cohort study established as a longitudinal resource for research into the genetic, lifestyle and environmental determinants of physical and mental health. It comprises extensive genetic, sociodemographic and clinical data from volunteers in Scotland.
PARTICIPANTS
A total of 24 084 adult participants, including 5501 families, were recruited between 2006 and 2011. Within the cohort, 59% (approximately 14 209) are women, with an average age at recruitment of 49 years. Participants completed a health questionnaire and attended an in-person clinic visit, where detailed baseline data were collected on lifestyle information, cognitive function, personality traits and mental and physical health. Genotype array data are available for 20 026 (83%) participants, and blood-based DNA methylation (DNAm) data for 18 869 (78%) participants. Linkage to routine National Health Service datasets has been possible for 93% (n=22 402) of the cohort, creating a longitudinal resource that includes primary care, hospital attendance, prescription and mortality records. Multimodal brain imaging is available in 1069 individuals.
FINDINGS TO DATE
GS has been widely used by researchers across the world to study the genetic and environmental basis of common complex diseases. Over 350 peer-reviewed papers have been published using GS data, contributing to research areas such as ageing, cancer, cardiovascular disease and mental health. Recontact studies have built on the GS cohort to collect additional prospective data to study chronic pain, major depressive disorder and COVID-19.
FUTURE PLANS
To create a larger, richer, longitudinal resource, 'Next Generation Scotland' launched in May 2022 to expand the existing cohort by a target of 20 000 additional volunteers, now including anyone aged 12+ years. New participants complete online consent and questionnaires and provide postal saliva samples, from which genotype and salivary DNAm array data will be generated. The latest cohort information and how to access data can be found on the GS website (www.generationscotland.org).
Topics: Humans; Scotland; Female; Male; Longitudinal Studies; Middle Aged; Adult; Family Health; Life Style; Aged; Young Adult; COVID-19; DNA Methylation; Mental Health; Health Status; Adolescent; SARS-CoV-2
PubMed: 38908846
DOI: 10.1136/bmjopen-2024-084719 -
Psychiatry Research Jun 2024Transdiagnostic approaches offers a paradigm shift in managing psychiatric disorders. Emotion regulation difficulties are a transdiagnostic prevalent across various mood...
Transdiagnostic approaches offers a paradigm shift in managing psychiatric disorders. Emotion regulation difficulties are a transdiagnostic prevalent across various mood and personality disorders. Dialectical Behavioural Therapy Skills Training (DBT-ST), initially designed as part of treatment for borderline personality disorder, targets emotion regulation and has shown promise in diverse psychiatric conditions. In lower middle-income countries with resource-constrained settings, online delivery of evidence-based interventions holds potential to bridge treatment gaps. This study assesses the feasibility and acceptability of online group DBT skills training for individuals with depression or anxiety disorders in India. Mental health professionals practising in India referred twenty-four eligible participants currently not engaged in psychotherapy. Of these, 18 initiated the 8-week virtual group DBT-ST program, with 12 completing it (66 % female, 18-35 years of age, 5 on concurrent medication). They provided feedback on therapy content's usefulness. Baseline, post-intervention, and one-month follow-up assessments measured changes in emotion regulation difficulties, depression, and anxiety symptoms. Treatment retained 66.7 % of participants, all participants found the intervention beneficial. Repeated measures ANOVA indicates significant reductions in self-reported difficulties in emotion regulation, depression, and anxiety symptoms post-intervention. These findings highlight the promise of transdiagnostic interventions like DBT-ST that merit further evaluations using RCTs with larger sample sizes.
PubMed: 38908264
DOI: 10.1016/j.psychres.2024.116016 -
Journal of Anesthesia, Analgesia and... Jun 2024Burnout is a maladaptive response to chronic stress, particularly prevalent among clinicians. Anesthesiologists are at risk of burnout, but the role of maladaptive...
BACKGROUND
Burnout is a maladaptive response to chronic stress, particularly prevalent among clinicians. Anesthesiologists are at risk of burnout, but the role of maladaptive traits in their vulnerability to burnout remains understudied.
METHODS
A secondary analysis was performed on data from the Italian Association of Hospital Anesthesiologists, Pain Medicine Specialists, Critical Care, and Emergency (AAROI-EMAC) physicians. The survey included demographic data, burnout assessment using the Maslach Burnout Inventory (MBI) and subscales (emotional exhaustion, MBI-EE; depersonalization, MBI-DP; personal accomplishment, MBI-PA), and evaluation of personality disorders (PDs) based on DSM-IV (Diagnostic and Statistical Manual of Mental Disorders Fourth Edition) criteria using the assessment of DSM-IV PDs (ADP-IV). We investigated the aggregated scores of maladaptive personality traits as predictor variables of burnout. Subsequently, the components of personality traits were individually assessed.
RESULTS
Out of 310 respondents, 300 (96.77%) provided complete information. The maladaptive personality traits global score was associated with the MBI-EE and MBI-DP components. There was a significant negative correlation with the MBI-PA component. Significant positive correlations were found between the MBI-EE subscale and the paranoid (r = 0.42), borderline (r = 0.39), and dependent (r = 0.39) maladaptive personality traits. MBI-DP was significantly associated with the passive-aggressive (r = 0.35), borderline (r = 0.33), and avoidant (r = 0.32) traits. Moreover, MBI-PA was negatively associated with dependent (r = - 0.26) and avoidant (r = - 0.25) maladaptive personality features.
CONCLUSIONS
There is a significant association between different maladaptive personality traits and the risk of experiencing burnout among anesthesiologists. This underscores the importance of understanding and addressing personality traits in healthcare professionals to promote their well-being and prevent this serious emotional, mental, and physical exhaustion state.
PubMed: 38907360
DOI: 10.1186/s44158-024-00171-5 -
Evaluation of the neuroprotective effect of antipsychotics by serum quantification of protein S100B.Farmacia Hospitalaria : Organo Oficial... Jun 2024This research delves into the intricate interplay between antipsychotic medications and neuroprotection focusing on the S100B protein-a central player in the regulation...
OBJECTIVE
This research delves into the intricate interplay between antipsychotic medications and neuroprotection focusing on the S100B protein-a central player in the regulation of neuroapoptotic activity.
METHOD
Blood samples were collected to assess serum S100B protein levels using an immunoassay of immunoelectrochemiluminescence. The first two samples were collected with a 3-month interval between each, and the third sample was obtained 6 months after the previous one. Changes in S100B protein levels throughout the study were assessed using Friedman's ANOVA test. This was followed by the Wilcoxon signed-rank test with Bonferroni correction to account for multiple comparisons.
RESULTS
This study involved 40 patients diagnosed with severe mental disorders (34 schizophrenia, 4 schizoaffective disorder, 1 bipolar disorder, and 1 borderline personality disorder). These patients had been receiving antipsychotic treatment for an average duration of 17 years. The results revealed that the S100B protein remained within physiological levels (median values 39.0 ng/L for the first sample, median values 41.0 ng/L for the second sample, and median values 40.5 ng/L for the third sample) with no significant changes (p = 0.287), with all anti-psychotic medicaments values consistently below 50 ng/L, a lower value compared to maximum range of 105 ng/L. Importantly, there were no significant differences in S100B protein levels between patients on monotherapy and those on combination antipsychotic therapy (p = 0.873), suggesting that combination therapy did not increase neuroapoptotic activity.
CONCLUSIONS
These findings provide compelling evidence for the potential neuroprotective effects of long-term antipsychotic treatment in individuals with severe mental disorders. By maintaining physiological levels of the S100B protein, antipsychotic medications may help protect against neuronal damage and dysfunction. This research contributes valuable insights into the neuroprotective mechanisms of antipsychotic drugs, enhancing our understanding of their potential benefits in the treatment of severe mental disorders.
PubMed: 38906717
DOI: 10.1016/j.farma.2024.05.013 -
Journal of Psychiatric Research Jun 2024Major Depressive Disorder (MDD) is frequently associated with social dysfunction and impaired decision-making, but its impact on social decisions remains unclear. Thus,... (Review)
Review
Major Depressive Disorder (MDD) is frequently associated with social dysfunction and impaired decision-making, but its impact on social decisions remains unclear. Thus, we conducted a series of meta-analyses to examine the effects of MDD on key social decision phenomena, including trust, altruistic punishment, and cooperation. We searched Web of Science, PubMed, PsycINFO, and Embase up to December 2023, using Hedges' g to compare social decision-making between MDD patients and healthy controls (HCs). Meta-analytic results showed that MDD patients exhibited a significant reduction in trust (Hedges' g = -0.347, p < 0.001), no significant difference in altruistic punishment (Hedges' g = 0.232, p = 0.149), and an increase in cooperative behaviors (Hedges' g = 0.361, p = 0.002) compared to HCs. The moderation analysis revealed that age (p = 0.039) and region (p = 0.007) significantly moderated altruistic punishment, with older MDD patients and those from Asian and European regions having larger MDD-HC contrast than others. Regarding cooperation, moderation analysis indicated that age (p = 0.028), years of education (p = 0.054), and treatment coverage (p = 0.042) were significant moderators, indicating larger MDD-HC contrast in older, less-educated and better-treated people. These findings suggest MDD has different impacts on different social decisions, highlighting the need for fine-tuned therapeutic interventions that address these differences. The data also underscores the importance of considering demographic and treatment-related variables in managing MDD, which could inform personalized treatment strategies and improve social functionality and patient outcomes.
PubMed: 38905762
DOI: 10.1016/j.jpsychires.2024.06.026 -
PloS One 2024This study addresses the challenge of differentiating between bipolar disorder II (BD II) and borderline personality disorder (BPD), which is complicated by overlapping...
This study addresses the challenge of differentiating between bipolar disorder II (BD II) and borderline personality disorder (BPD), which is complicated by overlapping symptoms. To overcome this, a multimodal machine learning approach was employed, incorporating both electroencephalography (EEG) patterns and cognitive abnormalities for enhanced classification. Data were collected from 45 participants, including 20 with BD II and 25 with BPD. Analysis involved utilizing EEG signals and cognitive tests, specifically the Wisconsin Card Sorting Test and Integrated Cognitive Assessment. The k-nearest neighbors (KNN) algorithm achieved a balanced accuracy of 93%, with EEG features proving to be crucial, while cognitive features had a lesser impact. Despite the strengths, such as diverse model usage, it's important to note limitations, including a small sample size and reliance on DSM diagnoses. The study suggests that future research should explore multimodal data integration and employ advanced techniques to improve classification accuracy and gain a better understanding of the neurobiological distinctions between BD II and BPD.
Topics: Humans; Borderline Personality Disorder; Bipolar Disorder; Machine Learning; Electroencephalography; Adult; Female; Male; Diagnosis, Differential; Young Adult; Cognition; Algorithms
PubMed: 38905185
DOI: 10.1371/journal.pone.0303699