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Healthcare (Basel, Switzerland) Jun 2024On 25 May 2023, the Portuguese parliament approved the decriminalisation of euthanasia for incurable illnesses. As the experiences of other countries show us, it will be...
On 25 May 2023, the Portuguese parliament approved the decriminalisation of euthanasia for incurable illnesses. As the experiences of other countries show us, it will be a matter of time before mental disorders are addressed. Studying the phenomenon, particularly in vulnerable groups, in advance is essential for proper law drafting. Therefore, instruments that allow an objective assessment and comparison between groups must be available. This study aims to explore the validation of Faria's attitude about euthanasia scale in Portuguese older adults with mixed anxiety-depressive disorder. A sample of 114 older adults with mixed anxiety-depressive disorder collected by convenience in the Psychiatry Department of Senhora da Oliveira Hospital in Portugal was included. The pre-final version of the scale was tested in a small group with good results. The validity of the internal structure was analysed using exploratory factorial analysis. The internal consistency study verified reliability. For construct validity, we assessed the correlation with other validated scales measuring attitudes toward euthanasia, cognitive performance, personality and empathy. The attitude about euthanasia scale showed good internal consistency. One factor was retained in the principal component analysis. Significant correlations verified construct validity. The results support the scale's usefulness and validity. This study makes available a unique instrument to assess the overall tendency of the attitudes towards euthanasia from the European-Portuguese perspective, which can be used, for example, to compare Portuguese with Brazilian older adults suffering from the same disorder. Furthermore, the adapted scale paves the way for other cross-cultural translations, adaptations, validations, and comparative analyses.
PubMed: 38921334
DOI: 10.3390/healthcare12121221 -
Impact of Attachment Style and Temperament Traits on the Quality of Life of Patients with Psoriasis.Behavioral Sciences (Basel, Switzerland) May 2024Psoriasis is a chronic inflammatory skin disease with manifestations that go beyond the visual manifestation, and include psychological aspects. Some mental disorders or...
BACKGROUND
Psoriasis is a chronic inflammatory skin disease with manifestations that go beyond the visual manifestation, and include psychological aspects. Some mental disorders or personality traits in psoriasis patients have also been highlighted, such as a negative or problematic attitude towards life, impulsive or avoidant behavior, and lower satisfaction with life. The aim of our cross-sectional study was to explore the associations between adult attachment, temperament, and quality of life of patients with psoriasis.
METHODS
A sample of 75 patients with psoriasis was evaluated with the Attachment Style Questionnaire (ASQ) to study adult attachment, the Temperament Evaluation of Memphis, Pisa, and San Diego Auto-questionnaire (TEMPS-A) to study temperament traits, and the Dermatology Life Quality Index (DLQI) to study the impact of dermatological diseases on patients' lives.
RESULTS
Depressive, cyclothymic, and irritable temperaments were found to be significantly positively associated with a need for approval and preoccupation with relationships subscales of the ASQ. The severity of skin disease effect on the patient's life was higher in women than in men. Moreover, a statistically significant effect of the need for approval subscale of the ASQ was found. The positive correlation between the severity of skin disease effect on the patient's life with a need for approval was statistically significant and stronger in women than in men.
CONCLUSIONS
A better understanding of the impact of mental comorbidities on psoriasis and vice versa places an ever-greater responsibility on dermatologists involved in the management of psoriasis to recognize these problems and collaborate with psychologists and psychiatrists to help these patients.
PubMed: 38920766
DOI: 10.3390/bs14060434 -
Frontiers in Psychiatry 2024When physician assisted dying (referred to as Medical Assistance in Dying or MAiD in this article) is available for individuals with mental disorders as the sole...
BACKGROUND
When physician assisted dying (referred to as Medical Assistance in Dying or MAiD in this article) is available for individuals with mental disorders as the sole underlying medical condition (MD-SUMC), patients with borderline personality disorder (BPD) frequently request MAiD. Psychiatrists and other clinicians must be prepared to evaluate and manage these requests.
OBJECTIVES
The purposes of this paper are to define when patients with BPD should be considered to have an irremediable, treatment resistant disorder and provide clinicians with an approach to assess and manage their patients with BPD making requests for MAiD.
METHODS
This perspective paper developed the authors' viewpoint by using a published, authoritative definition of irremediability and including noteworthy systematic and/or meta-analytic reviews related to the assessment of irremediability.
RESULTS
The clinician must be aware of the eligibility requirements for granting MAiD in their jurisdiction so that they can appropriately prepare themselves and their patients for the assessment process. The appraisal of the intolerability of the specific person's suffering comes from having an extensive dialogue with the patient; however, the assessment of whether the patient has irremediable BPD should be more objectively and reliably determined. A systematic approach to the assessment of irremediability of BPD is reviewed in the context of the disorder's severity, treatment resistance and irreversibility.
CONCLUSION
In addition to characterizing irremediability, this paper also addresses the evaluation and management of suicide risk for patients with BPD undergoing the MAiD assessment process.
PubMed: 38919634
DOI: 10.3389/fpsyt.2024.1364621 -
Scientific Reports Jun 2024Contemporary medical approaches for opioid addiction often include medication-assisted therapy, utilizing methadone and buprenorphine. However, factors influencing...
Contemporary medical approaches for opioid addiction often include medication-assisted therapy, utilizing methadone and buprenorphine. However, factors influencing patient preferences for starting buprenorphine or methadone therapy are poorly understood. This study aims to explore whether variances in personality traits and attachment styles are related to treatment preferences among individuals undergoing buprenorphine and methadone maintenance therapies. 300 participants completed the Big Five Questionnaire for personality traits and sub-dimensions and the Experiences in Close Relationship Scale for assessing attachment styles. The results indicated that patients with higher levels of Dynamism, Conscientiousness, and Perseverance personality traits were more likely to choose buprenorphine over methadone for achieving and maintaining abstinence. Although attachment styles showed a greater ability to differentiate between groups compared to personality traits, the differences were not significant. However, Conscientiousness stood out for its high discriminant validity, suggesting that scores in this personality dimension could significantly distinguish between groups, with individuals in the buprenorphine group showing higher levels of Conscientiousness compared to the methadone group. The study suggests a partial association between individuals' preference for abstinence therapy and their personality traits. These findings could be considered useful indicators when choosing maintenance therapy to help opiate-addicted patients achieve and maintain abstinence.
Topics: Humans; Opioid-Related Disorders; Male; Opiate Substitution Treatment; Female; Adult; Methadone; Personality; Buprenorphine; Middle Aged; Surveys and Questionnaires; Patient Preference; Object Attachment
PubMed: 38918504
DOI: 10.1038/s41598-024-65695-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 -
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 -
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 -
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