Suicidal ideation risk among LGB Spanish university students: the role of childhood and adolescence adversities and mental disorders

The European Journal of Psychiatry

Background and objectivesUniversity stage is a risk period for development of mental disorders and major depression disorder (MDD) is one of the most prevalent disorders. There is increasing evidence about the influence of lifestyle factors on depression onset and maintenance, nevertheless there is a great heterogeneity between analyzed lifestyle factors and few longitudinal studies has been carried out. The current study aims to longitudinally assess the influence of lifestyle on MDD courses among first-year university students.MethodsFirst-onset and persistence of MDD and lifestyle trajectories are measured using baseline and 12-months follow-up online surveys. Multivariate logistic regression analyses were performed to study longitudinal risk/protective associations between lifestyle factors and MDD.Results1,292 participants were included. Mean age of included participants at baseline was 18.5 (SD= 1.16 …

Molecular psychiatry

Despite significant advances in the study of obsessive-compulsive disorder (OCD), important questions remain about the disorder's public health significance, appropriate diagnostic classification, and clinical heterogeneity. These issues were explored using data from the National Comorbidity Survey Replication, a nationally representative survey of US adults. A subsample of 2073 respondents was assessed for lifetime Diagnostic and Statistical Manual of Mental Disorders, 4th edn (DSM-IV) OCD. More than one quarter of respondents reported experiencing obsessions or compulsions at some time in their lives. While conditional probability of OCD was strongly associated with the number of obsessions and compulsions reported, only small proportions of respondents met full DSM-IV criteria for lifetime (2.3%) or 12-month (1.2%) OCD. OCD is associated with substantial comorbidity, not only with anxiety and mood …

Addiction

Aims To measure the independent consequences of community‐level armed conflict beatings on alcohol use disorders (AUD) among males in Nepal during and after the 2000–2006 conflict. Design A population‐representative panel study from Nepal, with precise measures of community‐level violent events and subsequent individual‐level AUD in males. Females were not included because of low AUD prevalence. Setting Chitwan, Nepal. Participants Four thousand eight hundred seventy‐six males from 151 neighborhoods, systematically selected and representative of Western Chitwan. All residents aged 15–59 were eligible (response rate 93%). Measurements Measures of beatings in the community during the conflict (2000–2006), including the date and distance away, were gathered through neighborhood reports, geo‐location and official resources, then linked to respondents' life histories of AUD …

Psychological medicine

BackgroundSeveral hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.MethodsIn total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories …

American Journal of Preventive Medicine

IntroductionThis study develops a practical method to triage Army transitioning service members (TSMs) at highest risk of homelessness to target a preventive intervention.MethodsThe sample included 4,790 soldiers from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS) who participated in one of three Army STARRS 2011-2014 baseline surveys followed by the third wave of the STARRS-LS online panel surveys (2020-2022). Two machine learning models were trained: a Stage-1 model that used administrative predictors and geospatial data available for all TSMs at discharge to identify high-risk TSMs for initial outreach; and a Stage-2 model estimated in the high-risk subsample that used self-reported survey data to help determine highest risk based on additional information collected from high-risk TSMs once they are contacted. The outcome in both models was …

Advances in Neural Information Processing Systems

The recent explosion of interest in multimodal applications has resulted in a wide selection of datasets and methods for representing and integrating information from different modalities. Despite these empirical advances, there remain fundamental research questions: How can we quantify the interactions that are necessary to solve a multimodal task? Subsequently, what are the most suitable multimodal models to capture these interactions? To answer these questions, we propose an information-theoretic approach to quantify the degree of redundancy, uniqueness, and synergy relating input modalities with an output task. We term these three measures as the PID statistics of a multimodal distribution (or PID for short), and introduce two new estimators for these PID statistics that scale to high-dimensional distributions. To validate PID estimation, we conduct extensive experiments on both synthetic datasets where the PID is known and on large-scale multimodal benchmarks where PID estimations are compared with human annotations. Finally, we demonstrate their usefulness in (1) quantifying interactions within multimodal datasets,(2) quantifying interactions captured by multimodal models,(3) principled approaches for model selection, and (4) three real-world case studies engaging with domain experts in pathology, mood prediction, and robotic perception where our framework helps to recommend strong multimodal models for each application.

International Journal of Mental Health Systems

BackgroundMental health service providers are increasingly interested in patient perspectives. We examined rates and predictors of patient-reported satisfaction and perceived helpfulness in a cross-national general population survey of adults with 12-month DSM-IV disorders who saw a provider for help with their mental health.MethodsData were obtained from epidemiological surveys in the World Mental Health Survey Initiative. Respondents were asked about satisfaction with treatments received from up to 11 different types of providers (very satisfied, satisfied, neither satisfied nor dissatisfied, somewhat dissatisfied, very dissatisfied) and helpfulness of the provider (a lot, some, a little, not at all). We modelled predictors of satisfaction and helpfulness using a dataset of patient-provider observations (n = 5,248).ResultsMost treatment was provided by general medical providers (37.4%), psychiatrists (18.4%) and …

Journal of the American Academy of Child & Adolescent Psychiatry

Suicide is the second leading cause of death among adolescents, and rates of suicidal thoughts and behaviors (STBs) are climbing. 1 Promising interventions such as dialectical behavior therapy (DBT) are available to treat suicidal youth, and new approaches may facilitate greater intervention engagement, adherence, and effectiveness. 2 Digital tools (eg, personal smartphones) are a particularly promising avenue and could enhance existing, evidence-based interventions by providing new opportunities for assessment and intervention between sessions.To this end, Ksana Health has developed the Vira digital behavior change platform, which consists of a patient-facing smartphone app and a linked, Health Insurance Portability and Accountability Act (HIPAA)–compliant Web portal for clinicians. The smartphone app monitors patients’ proximal suicide risk factors (eg, sleep disturbance, low mood) using mobile …

International Journal of Developmental Disabilities

There is considerable evidence of the relationship among sensory reactivity, abdominal pain, and gastrointestinal symptoms in individuals with Autism Spectrum Disorder (ASD). Furthermore, these events are linked to the gut-microbiota-brain axis via the enteric nervous system. However, few studies have compared autism with other neurodevelopmental disorders in terms of sensory reactivity, pain, or gastrointestinal symptoms. Consequently, this study aimed to analyze the differences in sensory reactivity, pain, and gastrointestinal symptoms between adolescents and young adults with ASD and other neurodevelopmental and neurotypical disorders. Differences in sensory reactivity, pain, gastrointestinal symptoms, and obsessive-compulsive symptoms between a group of individuals with ASD level I (n = 37), Attention Deficit Hyperactivity Disorder or ADHD (n = 15), Learning Difficulties or LD (n = 23), and a …

Biological Psychiatry

BackgroundLower socioeconomic status (SES) is believed to be a risk factor for psychopathology in youth, however, the mechanisms linking SES and psychopathology are unknown. Directly addressing this gap, this study tests whether SES:(a) relates to brain activity following peer feedback (ie, acceptance, rejection) and (b) moderates the association between brain activity following peer feedback and experience sampling assessed positive and negative affect.MethodsAdolescents (N= 161) ages 13-18-years-old completed an ecologically valid peer feedback task while electroencephalography data were acquired, and then, ecological momentary assessments (EMA) probing positive and negative affect 4 times/day over a 1-week period. Reward-related (reward positivity [RewP]) and salience-related (P300) ERP components were extracted. SES was measured using the area deprivation index (ADI), a composite …

Psychological medicine

BackgroundSuicidal behaviors are prevalent among college students; however, students remain reluctant to seek support. We developed a predictive algorithm to identify students at risk of suicidal behavior and used telehealth to reduce subsequent risk.MethodsData come from several waves of a prospective cohort study (2016–2022) of college students (n = 5454). All first-year students were invited to participate as volunteers. (Response rates range: 16.00–19.93%). A stepped-care approach was implemented: (i) all students received a comprehensive list of services; (ii) those reporting past 12-month suicidal ideation were directed to a safety planning application; (iii) those identified as high risk of suicidal behavior by the algorithm or reporting 12-month suicide attempt were contacted via telephone within 24-h of survey completion. Intervention focused on support/safety-planning, and referral to services for this …

ObjectiveCollege students have high rates of mental health problems and low rates of treatment. Although sociodemographic disparities in student mental health treatment seeking have been reported, findings have not been synthesized and quantified. The extent to which differences in perceived need for treatment contribute to overall disparities remains unclear.MethodsA systematic search of PubMed, PsycInfo, and Embase was conducted. Studies published between 2007 and 2022 were included if they reported treatment rates among college students with mental health problems, stratified by sex, gender, race-ethnicity, sexual orientation, student type, student year, or student status. Random-effects models were used to calculate pooled prevalence ratios (PRs) of having a perceived need for treatment and of receiving treatment for each sociodemographic subgroup.ResultsTwenty-one studies qualified for …

Despite recognizing the critical association between social and behavioral determinants of health (SBDH) and suicide risk, SBDHs from unstructured electronic health record (EHR) notes for suicide predictive modeling remain underutilized. This study investigates the impact of SBDH, identified from both structured and unstructured data utilizing a natural language processing (NLP) system, on suicide prediction within 7, 30, 90, and 180 days of discharge. Using EHR data of 2,987,006 Veterans between October 1, 2009, and September 30, 2015, from the US Veterans Health Administration (VHA), we designed a case-control study that demonstrates that incorporating structured and NLP-extracted SBDH significantly enhances the performance of three architecturally distinct suicide predictive models-elastic-net logistic regression, random forest (RF), and multilayer perceptron. For example, RF achieved notable improvements in suicide prediction within 180 days of discharge, with an increase in the area under the receiver operating characteristic curve from 83.57–84.25%(95% CI= 0.63%-0.98%, p-val< 0.001) and the area under the precision recall curve from 57.38–59.87%(95% CI= 3.86%-4.82%, p-val< 0.001) after integrating NLP-extracted SBDH. These findings underscore the potential of NLP-extracted SBDH in enhancing suicide prediction across various prediction timeframes, offering valuable insights for healthcare practitioners and policymakers.

Journal of Clinical Sleep Medicine

Study Objectives The standard of care for military personnel with insomnia is cognitive behavioral therapy for insomnia (CBT-I). However, only a minority seeking insomnia treatment receive CBT-I, and little reliable guidance exists to identify those most likely to respond. As a step toward personalized care, we present results of a machine learning (ML) model to predict CBT-I response. Methods Administrative data were examined for n=1,449 nondeployed US Army soldiers treated for insomnia with CBT-I who had moderate-severe baseline Insomnia Severity Index (ISI) scores and completed one or more follow-up ISIs 6-12 weeks after baseline. An ensemble ML model was developed in a 70% training sample to predict clinically significant ISI improvement (reduction of at least two standard deviations on the baseline ISI distribution). Predictors included a wide range of military administrative and baseline clinical …

Psychophysiology

Blunted responses to reward feedback have been linked to major depressive disorder (MDD) and depression risk. Using a monetary incentive delay task (win, loss, break‐even), we investigated the impact of family risk for depression and lifetime history of MDD and anxiety disorder with 72‐channel electroencephalograms (EEG) recorded from 29 high‐risk and 32 low‐risk individuals (15–58 years, 30 male). Linked‐mastoid surface potentials (ERPs) and their corresponding reference‐free current source densities (CSDs) were quantified by temporal principal components analysis (PCA). Each PCA solution revealed a midfrontal feedback negativity (FN; peak around 310 ms) and a posterior feedback‐P3 (fb‐P3; 380 ms) as two distinct reward processing stages. Unbiased permutation tests and multilevel modeling of component scores revealed greater FN to loss than win and neutral for all stratification groups …

International Journal of Methods in Psychiatric Research

Objective The Mental and Substance Use Disorders Prevalence Study (MDPS) builds upon previous epidemiologic studies to provide estimates of prevalence and treatment rates of mental and substance use disorders among adults aged 18–65 in the U.S. The study background and methods are described. Method The MDPS employed novel techniques such as the inclusion of household, prison, homeless and state psychiatric hospital populations, a semi‐structured clinical interview administered by trained clinical interviewers to assess disorders, the assessment of both past year and lifetime schizophrenia spectrum disorder (SSD) using full Diagnostic and Statistical Manual 5 criteria, as well as other mental and substance use disorders, and video‐based interviewing. Population specific and combined sample weights were developed to estimate nationally representative prevalence and treatment rates …

Psychophysiology

The ability to accurately identify and interpret others' emotions is critical for social and emotional functioning during adolescence. Indeed, previous research has identified that laboratory‐based indices of facial emotion recognition and engagement with emotional faces predict adolescent mood states. Whether socioemotional information processing relates to real‐world affective dynamics using an ecologically sensitive approach, however, has rarely been assessed. In the present study, adolescents (N = 62; ages 13–18) completed a Facial Recognition Task, including happy, angry, and sad stimuli, while EEG data were acquired. Participants also provided ecological momentary assessment (EMA) data probing their current level of happiness, anger, and sadness for 1‐week, resulting in indices of emotion (mean‐level, inertia, instability). Analyses focused on relations between (1) accuracy for and (2) prolonged …

Children

Resilience describes the ability of someone to adapt to adverse life experiences by adjusting to demands with behavioral flexibility. When encountering crisis situations, resilient people typically spring back emotionally with increased strength and internal composure. Measuring resilience is important for assessing the ability of adolescents to respond to adverse situations. The objective of this study was to evaluate the psychometric performance of the Spanish version of the Connor-Davidson Resilience Scale (CD-RISC) © for South America (CD-RISC-25SA) in a population of vulnerable Peruvian adolescents. This study used a cross-sectional design to measure sociodemographic variables and resilience. Participants were 451 adolescents living in a shelter in Lima, Perú. Face and content validity were established by expert panel, construct validity was evaluated with exploratory and confirmatory factor analysis, and internal consistency was assessed with Cronbach’s alpha. The analysis resulted in a four-dimensional model with 22 items explaining almost 27% of the variance with a Cronbach’s alpha of 0.90. The dimensions included self-confidence and self-trust from previous experiences, internal resources to cope with difficult situations, personal competence and tenacity, and self-regulation with external resources. Two of the 3 items eliminated from the instrument were related to the original dimension “spirituality influences” which may have been incorrectly translated and adapted without equivalence of meaning for cross-cultural research. The CD-RISC-25SA is not a stable multidimensional instrument for measuring resilience across the …

Journal of Affective Disorders

BackgroundImproving Access to Psychological Therapies (IAPT) services address anxiety and depression in primary care, with psychotic disorders typically excluded. Our previous research found 1 in 4 patients report distressing psychotic experiences (PE) alongside common mental disorders, yet little is known about their clinical presentation and impact on recovery.MethodsWe used the Community Assessment of Psychic Experiences — Positive Scale (CAPE-P15) to assess the clinical presentation and symptomatic profile of PE within IAPT settings across three National Health Service (NHS) trusts, serving a diverse population in Southern England. We identified different classes based on the reported PE frequencies using latent class analysis.ResultsA total of 2042 IAPT patients completed the CAPE-P15. The mean age was 39.8 (±15.3) years. We identified five distinct classes of symptom profiles, findings that …

Journal of Affective Disorders

BackgroundAnorexia nervosa (AN) is a serious and complex psychiatric disorder yet treatment results are suboptimal. Insight into the etiology of this illness is much needed. Research highlights the implication of anxiety-related traits in the development and maintenance of AN. This study investigates firstly, behavioural inhibition and intolerance for uncertainty (IU) in adolescents with and without AN, and secondly relations between these traits.MethodsIn a cross-sectional study, 165 adolescent girls (AN = 94, HC = 71) completed questionnaires measuring behavioural inhibition, IU and trait anxiety. ANOVAs tested differences between AN and HC groups, and mediation models with IU as a mediator between behavioural inhibition and trait anxiety were run.ResultsAN adolescents reported significantly higher levels of behavioural inhibition, IU and trait anxiety compared to their peers. In both AN and HC, a direct and a …

Journal of Affective Disorders

BackgroundAnxiety disorders (ADs) are associated with increased healthcare use (HCU), and individuals may seek healthcare through various pathways according to clinical and individual characteristics. This study aimed to characterize care trajectories (CTs) of individuals with ADs.MethodsThis is a retrospective cohort study using the Care Trajectories - Enriched Data cohort, a linkage between the Canadian Community Health Surveys (CCHS), and health administrative data from Quebec. The cohort included 5143 respondents reporting ADs to the CCHS between 2009 and 2016. We measured CTs over 5 years before CCHS using a state sequence analysis.ResultsThe cohort was categorized into five types of CTs. Type 1 (52.7 %) was the lowest care-seeking group, with fewer comorbidities. Type 2 (24.0 %) had higher levels of physical and mental health comorbidities and moderate HCU, mainly ambulatory …

Journal of Affective Disorders

BackgroundAnhedonia is a transdiagnostic symptom of severe mental illness (SMI) and emerges during adolescence. Possible subphenotypes and neural mechanisms of anhedonia in adolescents at risk for SMI are understudied.MethodsAdolescents at familial risk for SMI (N = 81) completed anhedonia (e.g., consummatory, anticipatory, social), demographic, and clinical measures and one year prior, a subsample (N = 46) completed fMRI scanning during a monetary reward task. Profiles were identified using k-means clustering of anhedonia type and differences in demographics, suicidal ideation, impulsivity, and emotional processes were examined. Moderation analyses were conducted to investigate whether levels of brain activation of reward regions moderated the relationships between anhedonia type and behaviors.ResultsTwo-clusters emerged: a high anhedonia profile (high-anhedonia), characterized by …

Journal of Affective Disorders

The goal of this work was to explore associations of constituent factors of alexithymia on mental health and potential mediating effects of emotion regulation strategies, specifically suppression and reappraisal. Data were collected through the crowd-sourcing platform Amazon Mechanical Turk (MTURK). Three hundred seventy-seven individuals completed questionnaires related to distress (Depression Anxiety Stress Scales [DASS]), emotion regulation (Emotion Regulation Questionnaire [ERQ]) and Alexithymia (Bermond-Vorst Alexithymia Questionnaire [BVAQ]). Three mediation models were constructed for depression, anxiety and stress, with BVAQ subscales (verbalizing, identifying, emotionalizing, fantasizing, and analyzing) as predictors and ERQ subscales (suppression and reappraisal) as mediators. Results indicated 37.3 % variance in depression, 25.2 % variance in anxiety, and 35.3 % variance in stress …

Journal of affective disorders

BackgroundIndividuals with severe mental illness (SMI), including bipolar disorder (BD) and schizophrenia-spectrum disorders (SSD), are at high risk for suicide. However, suicide research often excludes individuals with SMI. The current research examined differences in suicide outcomes (i.e., suicide attempt or death) for adults with and without BD and SSD diagnoses following an emergency department (ED) visit and investigated the efficacy of the Coping Long Term with Active Suicide Program (CLASP) intervention in reducing suicide outcomes among people with SMI.Methods1235 adults presenting with recent suicidality were recruited from 8 different EDs across the United States. Using a quasi-experimental, stepped wedge series design, participants were followed for 52-weeks with or without subsequent provision of CLASP.ResultsParticipants in the SSD group and the BD group had significantly shorter …

Journal of Affective Disorders

BackgroundPatterns of sensory inputs early in life play an integral role in shaping the maturation of neural circuits, including those implicated in emotion and cognition. In both experimental animal models and observational human research, unpredictable sensory signals have been linked to aberrant developmental outcomes, including poor memory and effortful control. These findings suggest that sensitivity to unpredictable sensory signals is conserved across species and sculpts the developing brain. The current study provides a novel investigation of unpredictable maternal sensory signals in early life and child internalizing behaviors. We tested these associations in three independent cohorts to probe the generalizability of associations across continents and cultures.MethodThe three prospective longitudinal cohorts were based in Orange, USA (n = 163, 47.2 % female, Mage = 1 year); Turku, Finland (n = 239 …

Journal of Affective Disorders

BackgroundDespite broad recognition of the central role of avoidance in anxiety, a lack of specificity in its operationalization has hindered progress in understanding this clinically significant construct. The current study uses a multimodal approach to investigate how specific measures of avoidance relate to neural reactivity to threat in youth with anxiety disorders.MethodsChildren with anxiety disorders (ages 6–12 years; n = 65 for primary analyses) completed laboratory task- and clinician-based measures of avoidance, as well as a functional magnetic resonance imaging task probing neural reactivity to threat. Primary analyses examined the ventral anterior insula (vAI), amygdala, and ventromedial prefrontal cortex (vmPFC).ResultsSignificant but distinct patterns of association with task- versus clinician-based measures of avoidance emerged. Clinician-rated avoidance was negatively associated with right and left …

Journal of affective disorders

BackgroundIt is estimated that up to 50 % of people with bipolar disorder (BD) also have comorbid post-traumatic stress disorder (PTSD). However, little is known about the presentation and treatment of people with this comorbidity.MethodsData from 577 individuals diagnosed with bipolar disorder participating in the Heinz C. Prechter Longitudinal Study of BD were explored at baseline, year two and four. Three trauma groups were created: (i) one trauma (n = 75), (ii) multiple traumas (n = 417), and comorbid PTSD (n = 85). Measures of depression, mania, sleep, number of hospitalisations, suicide attempts, and medication use were analysed using regression modelling to determine differences between the three trauma groups.ResultsThere was an increase in depression, mania, and sleep scores and a higher number of hospitalisations in participants with comorbid PTSD compared to those experiencing one …

Journal of Affective Disorders

ObjectiveExtending on previous findings that computerized MeST (c-MeST) improves memory specificity and depressive symptoms in Major Depressive Disorder (MDD) in adults, this study aimed to assess the effects of c-MeST in youth with MDD on memory specificity and depression in addition to other treatment.MethodsParticipants aged 15–25 (N = 359, 76 % female; M age = 19.2, SD = 3.1), receiving predominantly psychological therapy or counseling (85 %) and/or antidepressants (52 %) were randomized to usual care and c-MeST or usual care. Cognitive and clinical outcomes were assessed at baseline and at one, three, and six-month follow-ups.ResultsThe usual care and c-MeST group reported higher memory specificity at one-month (d = 0.42, p = .022), but not at three or six months (d's < 0.15, p's > 0.05). The rate of MDE was numerically lower in the c-MeST group at each follow-up …

Journal of Affective Disorders

BackgroundNature therapies are gaining attention as non-pharmacological treatments for depression and anxiety disorders, but research on their effectiveness in patients is limited. This study investigates the mood-enhancing effects of visual stimulation with natural environmental images in patients with depression and anxiety disorders.MethodsWe conducted a randomized crossover comparison trial involving 60 right-handed adult participants with depression or anxiety disorders and receiving outpatient treatment. Visual stimuli of natural environments consisted of green-themed natural images, while the control stimuli featured urban scenes dominated by buildings. The stimulation lasted for 3 min, during which orbital prefrontal brain activity was measured using a 2-channel Near-infrared Spectroscopy (NIRS) system, and heart rate variability was assessed using fingertip accelerated plethysmography.Results …

Journal of Affective Disorders

Objective To evaluate the cost-effectiveness of repetitive transcranial magnetic stimulation (rTMS) as an adjunct to standard care from an Australian health sector perspective, compared to standard care alone for adults with treatment-resistant bipolar depression (TRBD). Methods An economic model was developed to estimate the cost per disability-adjusted life-year (DALY) averted and quality-adjusted life-year (QALY) gained for rTMS added to standard care compared to standard care alone, for adults with TRBD. The model simulated the time in three health states (mania, depression, residual) over one year. Response to rTMS was sourced from a meta-analysis, converted to a relative risk and used to modify the time in the depressed state. Uncertainty and sensitivity tested the robustness of results. Results Base-case incremental cost-effectiveness ratios (ICERs) were $72,299 per DALY averted (95% Uncertainty …

Journal of Affective Disorders

BackgroundPsychiatric symptomatology and medications used in their treatment may be modifiable risk factors associated with cognitive function, although findings from population-based studies spanning the full adult age range are lacking. This study aimed to investigate associations between psychiatric symptomatology, psychotropic medication use and cognitive function in a population-based sample of men.MethodsData for 537 men were drawn from the Geelong Osteoporosis Study. Cognitive function (psychomotor function, attention, working memory and visual learning) was determined using the Cog-State Brief Battery. Current depressive and anxiety symptomatology was determined using the Hospital Anxiety and Depression Scale, and psychotropic medication use was self-reported. Linear regression models were developed to determine associations between psychiatric symptomatology and …

Journal of affective disorders

BackgroundDepression and anxiety are among the most prevalent mental health issues experienced worldwide. However, whereas cross-cultural studies utilize psychometrically valid and reliable scales, fewer can meaningfully compare these conditions across different groups. To address this gap, the current study aimed to psychometrically assess the Brief Symptomatology Index (BSI) in 42 countries.MethodsUsing data from the International Sex Survey (N = 82,243; Mage = 32.39; SDage = 12.52; women: n = 46,874; 57 %), we examined the reliability of depression and anxiety symptom scores of the BSI-18, as well as evaluated evidence of construct, invariance, and criterion-related validity in predicting clinically relevant variables across countries, languages, genders, and sexual orientations.ResultsResults corroborated an invariant, two-factor structure across all groups tested, exhibiting excellent reliability …

Journal of Affective Disorders

BackgroundBorderline personality disorder (BPD) is thought to involve aberrant social learning, including impaired revision of social interpretations with new evidence (social interpretation inflexibility). However, this topic has received little empirical attention outside of specific literatures, such as moral inference or behavioral economics. Further, the contribution of comorbid depression to BPD-related interpretation inflexibility has not yet been assessed.MethodsIn two independent samples (Study 1: N = 213; Study 2: N = 210, oversampled for BPD features), we assessed the associations between BPD symptoms, depressive symptoms, and task-based measures of social interpretation flexibility.ResultsWe found that BPD symptoms, particularly volatility of identity and relationships, were associated with less revision of social interpretations with both positive and negative evidence. Meanwhile, depressive symptoms …

Journal of Affective Disorders

BackgroundThe COVID-19 pandemic has brought significant mental health challenges, particularly for vulnerable populations, including non-binary gender individuals. The COMET international study aimed to investigate specific risk factors for clinical depression or distress during the pandemic, also in these special populations.MethodsChi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.ResultsThe most important risk factors for depression were female (RR = 1.59–5.49) and non-binary gender (RR = 1.56–7.41), unemployment (RR = 1.41–6.57), not working during lockdowns (RR = 1.43 …

Journal of Affective Disorders

BackgroundRisk preference is often defined as the tendency to engage in risky activities. Increasing evidence shows that risk preference is associated with mood disorders. However, the causality and direction of this association are not clear.MethodsGenome-wide association study summary data of risk preference in 939,908 participants from UK Biobank and 23andMe were used to identify general risk preference. Data for 413,466 individuals taken from The Psychiatric Genomics Consortium were used to identify bipolar disorder (BP). Data for 807,553 individuals taken from The Psychiatric Genomics Consortium were used to identify major depressive disorder (MDD). The weighted median, inverse-variance weighting, and Mendelian randomization-Egger methods were used for the Mendelian randomization analysis to estimate a causal effect and detect directional pleiotropy.ResultsGWAS summary data were …

Journal of Affective Disorders

BackgroundThe global COVID-19 pandemic rapidly and drastically impacted everyday life and relationships. Fear of contracting and spreading the virus brought governments and individuals to adopt strict social distancing measures. These changes have had a significant negative impact on mental health, including a suggested increase in suicidal behaviors. The present study examined the role of interpersonal stress and connectedness in suicidal ideation, deliberate self-harm, suicide attempts, and the suicide crisis syndrome during the COVID-19 pandemic.MethodsAn international sample of 7837 adult participants was recruited across ten participating countries to complete an anonymous online battery of self-report questionnaires. Questionnaires assessed suicide-related outcomes, stressful life events (SLE), and connectedness. Multilevel regression analyses were used to examine the associations between …

Journal of Affective Disorders

BackgroundWhile exposure and response prevention (ERP) is the first-line treatment for obsessive-compulsive disorder (OCD), up to half of patients do not effectively respond. In an effort to better understand the mechanisms behind ERP, the inhibitory learning model emphasizes the roles of increasing perceived self-efficacy and distress tolerance. While self-efficacy and distress tolerance have separately been shown to predict OCD symptoms and treatment outcomes, no studies have assessed their joint effects in ERP. The current study examined distress tolerance as a mediator of the relationship between self-efficacy and ERP outcomes.MethodsPatients in an intensive ERP-based treatment program (N = 116) completed weekly self-report measures.ResultsOver the course of treatment, as OCD symptoms reduced, self-efficacy and distress tolerance both significantly increased. Importantly, increases in self …

Journal of Affective Disorders

BackgroundBody dysmorphic disorder (BDD) is severe, undertreated, and relatively common. Although gold-standard cognitive behavioral therapy (CBT) for BDD has strong empirical support, a significant number of patients do not respond. More work is needed to understand BDD's etiology and modifiable barriers to treatment response. Given its high prevalence and impact on the development, maintenance, and treatment of related, frequently comorbid disorders, sleep disruption is a compelling, but not-yet studied factor.MethodsData were drawn from a randomized controlled trial of guided smartphone app-based CBT for BDD. Included participants were offered 12-weeks of treatment, immediately (n = 40) or after a 12-week waitlist (n = 37). Sleep disruption and BDD symptom severity were assessed at baseline, week-6, and week-12.ResultsHypotheses and analysis plan were pre-registered. Two-thirds of …