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Comprehensive Psychiatry Apr 2024Impulsivity is a common cognitive issue across several psychiatric illnesses but is most frequently associated with the DSM-5 Disruptive, Impulse Control and Conduct...
PURPOSE
Impulsivity is a common cognitive issue across several psychiatric illnesses but is most frequently associated with the DSM-5 Disruptive, Impulse Control and Conduct Disorders, ADHD, and addictive disorders. We hypothesized that a wide range of psychiatric disorders would be associated with elevated impulsivity, not just those commonly linked to impulsiveness. This study aimed to explore the relationship between impulsivity and various psychiatric disorders in young adults.
PROCEDURES
700 non-treatment seeking participants (aged 18-29 years) were enrolled from the general community, provided demographic information, and underwent a psychiatric evaluation to screen for various psychiatric disorders. Each participant then completed the Barratt Impulsiveness Scale (BIS), a self-report measure of impulsivity, followed by the Stop Signal Task (SST), a computerized stop-attention task that measures impulse control. Impulsivity levels across psychiatric disorders were examined by analyzing z-scores relative to controls.
MAIN FINDINGS
Patients with bulimia nervosa, comorbid panic disorder with agoraphobia, and borderline personality disorder showed the highest levels of attentional, motor, and non-planning impulsivity, respectively. The effect size of the difference in total BIS impulsivity was large (d > 0.8) for several conditions including eating, personality, addictive, and mood disorders. The effect size of the difference in impulsivity was not large for any of the measures of ADHD. As compared to other psychiatric disorders analyzed, trichotillomania showed the greatest levels of impulsivity as measured by SST.
PRINCIPAL CONCLUSIONS
This data indicates that a wide range of psychiatric disorders exhibit heightened impulsivity with findings differing across various cognitive domains. Comorbidity resulted in unique findings of elevated impulsivity. This may suggest utility in viewing impulsivity as a transdiagnostic factor for a broad range of psychiatric disorders. Future studies should analyze comorbidities and whether patient psychiatric medication impacts these findings.
Topics: Humans; Young Adult; Impulsive Behavior; Personality Disorders; Mood Disorders; Trichotillomania; Behavior, Addictive
PubMed: 38184857
DOI: 10.1016/j.comppsych.2023.152449 -
BMJ Open Oct 2023Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with...
PURPOSE
Depression and anxiety afflict millions worldwide causing considerable disability. MULTI-PSYCH is a longitudinal cohort of genotyped and phenotyped individuals with depression or anxiety disorders who have undergone highly structured internet-based cognitive-behaviour therapy (ICBT). The overarching purpose of MULTI-PSYCH is to improve risk stratification, outcome prediction and secondary preventive interventions. MULTI-PSYCH is a precision medicine initiative that combines clinical, genetic and nationwide register data.
PARTICIPANTS
MULTI-PSYCH includes 2668 clinically well-characterised adults with major depressive disorder (MDD) (n=1300), social anxiety disorder (n=640) or panic disorder (n=728) assessed before, during and after 12 weeks of ICBT at the internet psychiatry clinic in Stockholm, Sweden. All patients have been blood sampled and genotyped. Clinical and genetic data have been linked to several Swedish registers containing a wide range of variables from patient birth up to 10 years after the end of ICBT. These variable types include perinatal complications, school grades, psychiatric and somatic comorbidity, dispensed medications, medical interventions and diagnoses, healthcare and social benefits, demographics, income and more. Long-term follow-up data will be collected through 2029.
FINDINGS TO DATE
Initial uses of MULTI-PSYCH include the discovery of an association between PRS for autism spectrum disorder and response to ICBT, the development of a machine learning model for baseline prediction of remission status after ICBT in MDD and data contributions to genome wide association studies for ICBT outcome. Other projects have been launched or are in the planning phase.
FUTURE PLANS
The MULTI-PSYCH cohort provides a unique infrastructure to study not only predictors or short-term treatment outcomes, but also longer term medical and socioeconomic outcomes in patients treated with ICBT for depression or anxiety. MULTI-PSYCH is well positioned for research collaboration.
Topics: Adult; Pregnancy; Female; Humans; Sweden; Depression; Depressive Disorder, Major; Autism Spectrum Disorder; Genome-Wide Association Study; Anxiety Disorders; Anxiety; Psychotherapy; Treatment Outcome; Internet
PubMed: 37793927
DOI: 10.1136/bmjopen-2022-069427 -
BMC Psychiatry Mar 2024Observational studies have suggested a link between panic disorder (PD) and Alzheimer disease (AD). This study aimed to identify the underlying association of PD with...
BACKGROUND
Observational studies have suggested a link between panic disorder (PD) and Alzheimer disease (AD). This study aimed to identify the underlying association of PD with the risk of AD using Mendelian randomization.
METHODS
Genetic instrumental variables (IVs) were retrieved in the genome-wide association study between PD and AD. Then, five different models, namely inverse variance weighting (IVW), weighted median, weighted mode, MR-Egger and MR-robust adjusted profile scores (MR-RAPS), were used for MR Analysis. Finally, the heterogeneity and pleiotropy of identified IVs were verified by multiple sensitivity tests.
RESULTS
The Cochran's Q test based on MR Egger and IVW showed that no evidence of heterogeneity was found in the effects of instrumental variables, so a fixed-effect model was used. IVW analysis (OR 1.000479, 95% CI [1.000147056, 1.000811539], p = 0.005) indicated that PD was associated with an increased risk of AD, and a causal association existed between them. Meanwhile, weighted median (OR 1.000513373, 95% CI [1.000052145, 1.000974814], p = 0.029) and MR-RAPS (OR 1.000510118, 95% CI [1.000148046, 1.00087232], p = 0.006) also showed the similar findings. In addition, extensive sensitivity analyses confirmed the robustness and accuracy of these results.
CONCLUSION
This investigation provides evidence of a potential causal relationship between PD and the increased risk of AD. Based on our MR results, when diagnosing and treating patients with PD, clinicians should pay more attention to their AD-related symptoms to choose therapeutic measures or minimize comorbidities. Furthermore, the development of drugs that improve both PD and AD may better treat patients with these comorbidities.
Topics: Humans; Mendelian Randomization Analysis; Panic Disorder; Alzheimer Disease; Genome-Wide Association Study; Analysis of Variance
PubMed: 38439042
DOI: 10.1186/s12888-024-05624-3 -
BMC Medical Genomics Oct 2023Whether the positive associations of blood lipids with psychiatric disorders are causal is uncertain. We conducted this two-sample Mendelian randomization (MR) analysis...
BACKGROUND
Whether the positive associations of blood lipids with psychiatric disorders are causal is uncertain. We conducted this two-sample Mendelian randomization (MR) analysis to comprehensively investigate associations of blood lipids with psychiatric disorders.
METHODS
Univariable and multivariable models were established for MR analyses. Inverse variance-weighted (IVW) MR was employed as the main approach; weighted median and MR-Egger were used as sensitivity analysis methods. The possibility of violating MR assumptions was evaluated utilizing several sensitivity analyses, including heterogeneity statistics, horizontal pleiotropy statistics, single SNP analysis, leave-one-out analysis and MR-PRESSO analysis. As instrumental variables, we screened 362 independent single-nucleotide polymorphisms (SNP) related to blood lipids from a recent genome-wide association study involving 76,627 individuals of European ancestry, with a genome-wide significance level of p < 5 × 10. Summary-level information for the six psychiatric disorders was extracted from Psychiatric Genomics Consortium and Alzheimer Disease Genetics Consortium.
RESULTS
We observed eight significant associations in univariable MR analysis, four of which were corroborated by multivariable MR (MVMR) analysis modified for the other three lipid traits: high-density lipoprotein cholesterol (HDL-C) level with the risk of PTSD (OR = 0.91, 95% CI = 0.85-0.97, p = 0.002) and AD (OR = 0.79, 95% CI = 0.71-0.88, p < 0.001) and triglycerides (TG) level with the risk of MDD (OR = 1.02, 95% CI = 1.003-1.03, p = 0.01) and panic disorder (OR = 0.83, 95% CI = 0.74-0.92, p < 0.001). In addition, four associations were not significant in MVMR analysis after adjustment for three lipid traits: total cholesterol (TC) level with the risk of PTSD, low-density lipoprotein cholesterol (LDL-C) level with the risk of MDD and AD and TG level with the risk of AD.
CONCLUSIONS
Our results show that blood lipids and psychiatric disorders may be related in a causal manner. This shows that abnormal blood lipid levels may act as reliable biomarker of psychiatric disorders and as suitable targets for their prevention and treatment.
Topics: Humans; Mendelian Randomization Analysis; Genome-Wide Association Study; Mental Disorders; Cholesterol, LDL; Lipids; Polymorphism, Single Nucleotide
PubMed: 37853421
DOI: 10.1186/s12920-023-01692-8 -
Journal of Personalized Medicine Oct 2023Mast cell activation syndrome (MCAS) is an immune disease with an estimated prevalence of 17%. Mast cell chemical mediators lead to heterogeneous multisystemic...
Mast cell activation syndrome (MCAS) is an immune disease with an estimated prevalence of 17%. Mast cell chemical mediators lead to heterogeneous multisystemic inflammatory and allergic manifestations. This syndrome is associated with various neurologic and psychiatric disorders, including headache, dysautonomia, depression, generalized anxiety disorder, and many others. Although MCAS is common, it is rarely recognized, and thus, patients can suffer for decades. The syndrome is caused by aberrant mast cell reactivity due to the mutation of the controller gene. A case series is presented herein including eight patients with significant neuropsychiatric disorders that were often refractory to standard medical therapeutics. Five patients had depression, five had generalized anxiety disorder, and four had panic disorder. Other psychiatric disorders included attention-deficit hyperactivity disorder, obsessive compulsive disorder, phobias, and bipolar disorder. All eight patients were subsequently diagnosed with mast cell activation syndrome; six had comorbid autonomic disorders, the most common being postural orthostatic tachycardia syndrome; and four had hypermobile Ehlers-Danlos syndrome. All patients experienced significant improvements regarding neuropsychiatric and multisystemic symptoms after mast-cell-directed therapy. In neuropsychiatric patients who have systemic symptoms and syndromes, it is important to consider the presence of an underlying or comorbid MCAS.
PubMed: 38003876
DOI: 10.3390/jpm13111562 -
Journal of Affective Disorders Oct 2023Psychological, socio-demographics, and clinical factors play an important role in patients with COVID-19, but their relationship is complex. The network approach might...
INTRODUCTION
Psychological, socio-demographics, and clinical factors play an important role in patients with COVID-19, but their relationship is complex. The network approach might be used to disentangle complex interactions in different systems. Using data from a multicentre, cross-sectional, survey among patients with COVID-19 in Spain (July-November 2020), we investigated the network structure of mental disorders symptoms, social support, and psychological resilience, and changes in network structures according to the presence of a pre-existing mental disorder or hospitalization for COVID-19.
METHODS
Subjects completed a survey to evaluate sociodemographic characteristics, COVID-19 infection status, resilience, social support, and symptoms of depression, anxiety disorders, post-traumatic stress disorder, panic attacks, and substance use disorder. 2084 patients with COVID-19 were included in the analysis. Network analysis was conducted to evaluate network and bridge centrality, and the network properties were compared between COVID-19 patients with and without a history of lifetime mental disorder, and between hospitalized and non-hospitalized patients.
LIMITATIONS
Generalization of our findings may be difficult since differences in network connectivity may exist in different populations or samples.
RESULTS
Anxiety and depression showed high centrality in patients with COVID-19 and anxiety showed the highest bridge influence in the network. Resilience and social support showed a low influence on mental disorder symptoms. Global network estimations show no statistically significant changes between patients with and without pre-existing mental disorders or between hospitalized and non-hospitalized patients.
CONCLUSIONS
Anxiety might be a key treatment target in patients with COVID-19 since its treatment might prevent other mental health adverse outcomes.
Topics: Humans; COVID-19; Depression; Cross-Sectional Studies; Anxiety; Anxiety Disorders; Stress Disorders, Post-Traumatic
PubMed: 37336249
DOI: 10.1016/j.jad.2023.06.034 -
BMC Cancer Jan 2024Observational studies have explored the association of psychiatric disorders and the risk of brain cancers. However, the causal effect of specific mental illness on...
BACKGROUND
Observational studies have explored the association of psychiatric disorders and the risk of brain cancers. However, the causal effect of specific mental illness on glioma remains elusive due to the lack of solid evidence.
METHODS
We performed a two-sample bidirectional Mendelian randomization (MR) analysis to explore the causal relationships between 5 common psychiatric disorders (schizophrenia, major depressive disorder, bipolar disorder, autism spectrum disorder, and panic disorder) and glioma. Summary statistics for psychiatric disorders and glioma were extracted from Psychiatric Genomics Consortium (PGC) and 8 genome-wide association study (GWAS) datasets respectively. We calculated the MR estimates for odds ratio of glioma associated with each psychiatric disorder by using inverse-variance weighting (IVW) method. Sensitivity analyses such as weighted median estimator, MR-Egger and MR-PRESSO were leveraged to assess the strength of causal inference.
RESULTS
A total of 30,657 participants of European ancestry were included in this study. After correction for multiple testing, we found that genetically predicted schizophrenia was associated with a statistically significant increase in odds of non-glioblastoma multiforme (non-GBM) (OR = 1.13, 95% CI: 1.03-1.23, P = 0.0096). There is little evidence for the causal relationships between the other 4 psychiatric disorders with the risk of glioma.
CONCLUSIONS
In this MR analysis, we revealed an increased risk of non-GBM glioma in individuals with schizophrenia, which gives an insight into the etiology of glioma.
Topics: Humans; Mendelian Randomization Analysis; Autism Spectrum Disorder; Depressive Disorder, Major; Genome-Wide Association Study; Mental Disorders; Glioma
PubMed: 38262954
DOI: 10.1186/s12885-024-11865-y -
Journal of Affective Disorders Oct 2023Maternal and paternal perinatal depression and anxiety are theorised to adversely impact infant development. Yet, few studies have assessed both mental health symptoms...
BACKGROUND
Maternal and paternal perinatal depression and anxiety are theorised to adversely impact infant development. Yet, few studies have assessed both mental health symptoms and clinical diagnoses within the one study. Moreover, research on fathers is limited. This study therefore aimed to examine the association between symptoms and diagnoses of maternal and paternal perinatal depression and anxiety with infant development.
METHOD
Data were from the Triple B Pregnancy Cohort Study. Participants included 1539 mothers and 793 partners. Depressive and anxiety symptoms were assessed using the Edinburgh Postnatal Depression Scale and Depression Anxiety Stress Scales. Major depressive disorder, generalized anxiety disorder, social anxiety disorder, panic disorder, and agoraphobia were assessed using the Composite International Diagnostic Interview in trimester three. Infant development was assessed at 12-months using the Bayley Scales of Infant and Toddler Development.
RESULTS
Antepartum, maternal depressive and anxiety symptoms were associated with poorer infant social-emotional (d = -0.11, p = .025) and language development (d = -0.16, p = .001). At 8-weeks postpartum, maternal anxiety symptoms were associated with poorer overall development (d = -0.11, p = .030). No association was observed for clinical diagnoses in mothers, nor paternal depressive and anxiety symptoms or clinical diagnoses; albeit risk estimates were largely in the expected direction of adverse effects on infant development.
CONCLUSIONS
Evidence suggests that maternal perinatal depression and anxiety symptoms may adversely impact infant development. Effects were small but findings underscore the importance of prevention, early screening and intervention, alongside consideration of other risk factors during early critical periods.
Topics: Male; Female; Pregnancy; Infant; Humans; Longitudinal Studies; Depression; Cohort Studies; Depressive Disorder, Major; Anxiety; Anxiety Disorders; Fathers; Mothers; Depression, Postpartum
PubMed: 37302506
DOI: 10.1016/j.jad.2023.06.020 -
JMA Journal Oct 2023People devoid of COVID-19 may exhibit mental health problems, such as anxiety disorders, depression, panic attack, insomnia, emotional disorder, and suicidal actions.... (Review)
Review
People devoid of COVID-19 may exhibit mental health problems, such as anxiety disorders, depression, panic attack, insomnia, emotional disorder, and suicidal actions. Healthcare workers (HCWs) may also exhibit these problems. Physicians should be careful an "at-risk" population. Physicians revealed higher levels of resilience than the popular workers. Humans with stronger resilience have lower feeling of anxiety and depression. We investigated the risk to physicians from an infected environment to infected patients during the pandemic. The social and psychological support of all HCWs, particularly physicians, is significant in the fight against this pandemic. Physicians working with patients with COVID-19 should set enough time to relax, sleep, and spend time with family. Resilience in physicians facing COVID-19 can induce post-traumatic growth in the future.
PubMed: 37941699
DOI: 10.31662/jmaj.2022-0192 -
Psychopharmacology Nov 2023Selective serotonin reuptake inhibitors (SSRIs) are considered first-line medication for anxiety-like disorders such as panic disorder, generalized anxiety disorder, and... (Meta-Analysis)
Meta-Analysis Review
RATIONALE
Selective serotonin reuptake inhibitors (SSRIs) are considered first-line medication for anxiety-like disorders such as panic disorder, generalized anxiety disorder, and post-traumatic stress disorder. Fear learning plays an important role in the development and treatment of these disorders. Yet, the effect of SSRIs on fear learning are not well known.
OBJECTIVE
We aimed to systematically review the effect of six clinically effective SSRIs on acquisition, expression, and extinction of cued and contextual conditioned fear.
METHODS
We searched the Medline and Embase databases, which yielded 128 articles that met the inclusion criteria and reported on 9 human and 275 animal experiments.
RESULTS
Meta-analysis showed that SSRIs significantly reduced contextual fear expression and facilitated extinction learning to cue. Bayesian-regularized meta-regression further suggested that chronic treatment exerts a stronger anxiolytic effect on cued fear expression than acute treatment. Type of SSRI, species, disease-induction model, and type of anxiety test used did not seem to moderate the effect of SSRIs. The number of studies was relatively small, the level of heterogeneity was high, and publication bias has likely occurred which may have resulted in an overestimation of the overall effect sizes.
CONCLUSIONS
This review suggests that the efficacy of SSRIs may be related to their effects on contextual fear expression and extinction to cue, rather than fear acquisition. However, these effects of SSRIs may be due to a more general inhibition of fear-related emotions. Therefore, additional meta-analyses on the effects of SSRIs on unconditioned fear responses may provide further insight into the actions of SSRIs.
Topics: Animals; Humans; Selective Serotonin Reuptake Inhibitors; Bayes Theorem; Fear; Anxiety Disorders; Stress Disorders, Post-Traumatic
PubMed: 36847831
DOI: 10.1007/s00213-023-06333-7