Gambling disorder frequently co-occurs with other psychiatric conditions, yet its relationship with obsessive-compulsive disorder (OCD) remains unclear. Emerging evidence suggests impulsivity and compulsivity may be inter-related rather than diametrically opposed constructs, warranting investigation of their clinical overlap. The aim of this study is to examine the rate of gambling disorder in adults with OCD and to explore associated clinical, behavioral, and treatment-related characteristics.

Adults with probable OCD were recruited via online Reddit groups for OCD, OCD clinics, and support groups and completed a cross-sectional survey. OCD symptom types were assessed using the Obsessive-Compulsive Inventory-Revised, and gambling disorder was identified using the Minnesota Impulsive Disorders Interview. Additional measures included gambling severity, impulsivity, and problematic internet use. Group comparisons were conducted between participants with and without gambling disorder.

Among 186 adults with OCD, 34 (18.8%) met criteria for gambling disorder. Individuals with comorbid gambling disorder demonstrated significantly greater OCD severity, particularly in ordering, checking, and neutralizing symptoms, and reported later onset of OCD. The comorbid group showed higher impulsivity, greater problematic internet use, and distinct gambling behaviors, including higher rates of online gambling, esports betting, and use of artificial intelligence tools for gambling. They were also less likely to have received pharmacological treatment for OCD.

Gambling disorder in adults with OCD is associated with distinct clinical characteristics, greater impulsivity, problematic internet use, and concerning treatment gaps. These findings highlight the importance of screening for gambling in OCD, and vice versa, and suggest a need for integrated treatment approaches.

Suicidal ideation, plans and attempts, is a leading public health issues among adolescents worldwide, including in Pakistan. This study examines the effectiveness of a culturally adapted didactic strategy (CADS) in targeting suicidal ideation and associated symptomatology (ClinicalTrials.gov: NCT05324670).

Adolescents (n = 70, male) expressing suicidal ideation who recently engaged in self-harm (previous 6 months), were assigned to 6 sessions (weekly) of CADS or a control intervention (psycho-education material) and assessed pre- and post-intervention utilising the Beck Scale for Suicidal Ideation (BSS), the Depression, Anxiety and Stress Scale-21 (DASS-21) and Barratt Impulsiveness Schedule-II (BIS-II).

Participants in the CADS cohort demonstrated a significant reduction in suicidal ideation compared to controls at treatment end (F = 266.7, p < 0.001, ηp2 = 0.80), and six-weeks post intervention. Individuals receiving CADS demonstrated a modest reduction in attentional (F = 32.5, p < 0.001, ηp2 = 0.33), motoric (F = 45.9, p < 0.001, ηp2 = 0.41) and non-planning impulsivity (F = 21.9, p < 0.001, ηp2 = 0.25), in depressive (F = 142.2, p < 0.001, ηp2 = 0.68), and anxiety symptoms (F = 43.9, p < 0.001, ηp2 = 0.40) and stress levels (F = 96.4, p < 0.001, ηp2 = 0.59). These findings were maintained at six-week follow-up.

CADS was an effective short-term intervention in reducing suicidal ideation, impulsivity, depressive and anxiety symptoms in a high school adolescent male population. Future studies including an active comparator and greater participant diversity would further elucidate the potential efficacy of this intervention.

Neurodevelopmental models regard impulsivity as a central risk factor for adolescent substance use. However, the practical utility of impulsivity in predicting substance use is complicated by variability among measures that encompass multiple methods and theoretical domains. Prior research has been constrained by cross-sectional designs, small sample sizes, and/or the use of a narrow subset of impulsivity measures.

Leveraging the ABCD dataset (n = 11,868), we identified and replicated correlations among impulsivity measures and assessed their prospective longitudinal and concurrent predictive utility regarding adolescent substance use outcomes before 15 years old. We then used simulation to inform how associations between impulsivity and substance use vary across sampling strategies (population vs. high-risk cohorts) and sample sizes.

Correlations between questionnaire and behavioral measures of impulsivity were small, and questionnaires significantly outperformed behavioral measures in predicting substance use initiation, largely due to the contribution of the CBCL externalizing scale. Predictions of substance use based on impulsivity were statistically detectable but small according to clinical standards (AUCs 0.6–0.76), exhibiting sensitivity to sample size and base rate of substance use, and thus, poor absolute predictive performance. Large samples (n > 1,000) were needed to achieve adequate power for impulsivity measures to predict substance use initiation.

These results support a significant but small contribution of impulsivity in predicting the onset of early adolescent substance use, indicating that these factors alone are insufficient for clinically deployable prediction. In community samples, large sample sizes are needed for reproducible impulsivity prediction of adolescent substance use.

Investigating the relationship between behavioural addictions and mental health is essential due to their impact on well-being and the significant barriers they create to achieving lasting recovery. The aim of the study was to examine the prevalence of food addiction, problematic internet use, and internet gaming disorder among 866 high school students (grades 9–12) in Turkey, Bingöl and their associated with impulsivity, emotional regulation, depression, anxiety, and stress.

The sample was selected using a convenience sampling approach. Data were collected via online questionnaires using validated scales and analysed with SPSS package programme.

The prevalence of food addiction was 6.9%, problematic internet use 14.3%, and internet gaming disorder 0.9%. Problematic internet use relatively high prevalence likely reflects adolescents’ increased exposure to digital devices. Mental health factors were found to be significantly related to behavioural addictions: depression, anxiety, and stress predicted food addiction; depression and stress predicted problematic internet use, and anxiety was linked to internet gaming disorder.

This study contributes to the literature by examining multiple behavioural addictions and their common risk factors simultaneously and provides a comprehensive perspective. It is also one of the rare studies examining food addiction with other behavioural addictions. More research is needed to develop better intervention programmes and policies in the issue.

Skin picking disorder is characterized by repetitive excoriation of one’s skin. Although skin picking disorder is associated with substance use problems, no previous research has examined the associations of alcohol use on skin picking symptomatology.

Adults with skin picking disorder (n = 182) were recruited from the general community via an online survey. Participants completed the Alcohol Use Disorders Identification Test (AUDIT) to measure alcohol use and various self-report measures to assess clinical profiles and associated characteristics. We compared variables of interest between those with hazardous alcohol use in the past year (AUDIT ≥8) compared to those with low-risk or no alcohol use in the past year. We also examined the extent to which skin picking disorder symptoms were dimensionally related to AUDIT scores while controlling for confounders.

Of the 182 adults with skin picking disorder, 62 (34.1%) met criteria for hazardous alcohol use. Hazardous drinking was associated with less frequent skin picking but higher overall picking-related severity and impairment, aggression, and rates of comorbid borderline personality disorder, gambling disorder, and compulsive sexual behavior disorder. Skin picking-related impairment predicted the degree of hazardous drinking while controlling for sex.

This study highlights the importance of screening for hazardous alcohol use in people with skin picking disorder. More research is needed to explore the relationship between aggression, hazardous alcohol use, and skin picking, as well as how treatments might best be adapted to treat individuals with this cluster of symptoms.

Impulsivity, a multifaceted construct, is a core feature of borderline personality disorder (BPD), associated with functional impairment and suicide mortality. Findings on motor inhibitory control, a key dimension of impulsivity, in BPD are heterogeneous.

This PRISMA-guided meta-analysis examines motor inhibitory control in adults with BPD compared to healthy controls (HCs), using Stop-Signal Task and Go/No-Go Task data. Thirty-seven datasets from 35 articles were included.

Results from random-effect models suggest that BPD patients exhibit significantly higher motor inhibitory control deficits than HCs, with a small to moderate effect size. Contrary to common assumptions, a mixed-model effect found that emotional factors did not moderate inhibitory control in BPD. Finally, the meta-analysis revealed that self-reported impulsivity measures did not correlate with task performance, suggesting that subjective and objective measures of impulsivity may assess different facets of the construct.

These findings highlight the need for greater standardization of task-based measures of impulsivity, as methodological heterogeneity and quality currently limit replicability across studies.

Impulsivity is among the strongest correlates of substance involvement (i.e. a broad continuum of substance-related behaviors), and distinct domains (e.g. sensation seeking [SS] and urgency) are differentially correlated, phenotypically and genetically, with unique substance involvement stages. Examining whether polygenic influences for distinct impulsivity domains are differentially predictive of early substance use initiation – a major risk factor for later problematic use – may improve our understanding of the role of impulsivity in addiction etiology.

Data collected from participants of genetically inferred European ancestry enrolled in the Adolescent Brain Cognitive Development StudySM (n = 4,808) were used to estimate associations between polygenic scores (PGSs) for UPPS-P impulsivity domains (i.e. SS, lack of premeditation [LPREMED]/perseverance [LPERSEV], and negative/positive urgency [NU/PU]) and substance (i.e. any, alcohol, nicotine, and cannabis) use initiation by age 15 years. Mediation models examined whether child impulsivity (ages 9–11 years) mediated links between PGSs and substance use initiation.

SS-PGS was significantly associated with any substance and alcohol use initiation (odds ratio [ORs] > 1.10, psFDR < 0.05). LPERSEV and NU/PU PGSs were nominally associated with alcohol and nicotine use initiation, respectively (ORs > 1.06, ps < 0.05, psFDR > 0.05). No significant associations were observed for LPREMED-PGS or cannabis use initiation. Measured impulsivity domains accounted for 5–9% of associations between UPPS-P PGSs and substance use initiation.

Genetic influences for distinct impulsivity domains have differential associations with early substance use initiation, with SS showing the most robust associations, highlighting valuable etiological insight into the earliest stages of substance involvement that may be leveraged to improve prevention and intervention strategies.

Women diagnosed with premenstrual dysphoric disorder (PMDD) report significant symptom relief when treated with selective serotonin reuptake inhibitors, but few studies have addressed the possibility of capturing this effect in behavioral, laboratory-based tests. This study examined the effects of intermittent treatment with escitalopram (vs. placebo) on a behavioral measure of impulsivity and inattentiveness in women reporting high levels of premenstrual irritability and anger.

Participants (N = 27) rated cardinal PMDD mood symptoms over three menstrual cycles using Visual Analogue Scales. In Cycles 2 and 3, participants displaying cyclicity with respect to the irritability/anger item received escitalopram (20 mg) or placebo in a randomized, single-blind, crossover design. The participants completed the Conners Continuous Performance Test (CPT 3) in the luteal phase of the intervention cycles. Additionally, they filled out the UPPS Impulsive Behavior Scale, once in the luteal phase and once in the follicular phase of the placebo cycle.

In line with previous reports, escitalopram caused a significant reduction in self-rated irritability and anger in the luteal phase. When on escitalopram, the participants demonstrated a lower frequency of anticipatory responses and greater consistency in response speed in the CPT 3. With respect to self-reported impulsivity, participants reported higher levels of urgency and lower levels of sensation seeking in the luteal placebo phase versus the follicular phase.

The finding that escitalopram impacted the outcome of the CPT 3 test in women with premenstrual irritability highlights the possible role of impulsivity in this condition.

The significant heterogeneity among individuals who die by suicide complicates prevention, suggesting that a “one-size-fits-all” approach is insufficient. It is crucial to identify distinct subgroups for targeted strategies. This study aims to characterize suicide profiles based on trait impulsivity and related factors.

Data from the FRieNDS project (Factores de Riesgo en Defunciones por Suicidio – Risk Factors in Suicide Deaths), a psychological autopsy study of 408 suicide deaths, were used. After determining the optimal number of clusters via stability analysis through agglomerative nesting, a final cluster analysis was performed on 391 valid suicide deaths (defined as cases with no missing data on the variables used for clustering) using k-means on a lower-dimensional representation of the data encoded by an autoencoder. Key clustering variables included sex, impulsivity (Barratt Impulsivity Scale-11), aggression, intent to die, previous history of suicide attempts, history of substance abuse, psychotic and affective disorders, and the presence of a depressive episode at the time of death.

We identified three clusters: (1) Impulsive-aggressive (29.8%), characterized by high rates of Cluster B disorders, substance abuse, more stressful events, and low lethal intent; (2) depressive prior attempters (24.5%), which comprised mostly women and showed greater behavioural changes before death; and (3) non-impulsive/aggressive (45.7%), a group with no clear psychopathological profile, less healthcare contact, and minimal communicated intent to die, despite having few prior attempts.

Our study identified three suicide clusters with varying impulsivity levels, highlighting the need for tailored interventions and community-level research for better suicide prevention strategies.

Impulsivity and aggression are known risk factors for suicide, with observed age and sex differences in their impact.

To explore variations in impulsivity and aggression based on sex and age and examine their roles in predicting suicide.

We examined 582 participants (406 individuals who died by suicide, 176 non-suicidal sudden-death controls) using the psychological autopsy method. Measures of impulsivity and aggression included the Barratt Impulsiveness Scale (BIS) and the Brown–Goodwin History of Aggression (BGHA). Participants were categorised into four groups: suicide male, control male, suicide female and control female. For group comparisons, we used analyses of variance and Spearman’s rank correlation to assess the relationship between age and BIS and/or BGHA ratings. Stepwise logistic regression was used to identify predictors of suicide for each sex.

Higher levels of BIS and BGHA ratings were found in the suicide group compared with controls (BIS: 51.3 v. 42.2, P = 0.002, η2 = 0.017; BGHA: 7.1 v. 4.1, P < 0.001, η2 = 0.028), with no significant sex differences. BIS and BGHA ratings decreased with age in the suicide groups (suicide male: impulsivity ρ = −0.327, P < 0.001; suicide female: aggression ρ = −0.175, P = 0.038) but not among controls. Logistic regression analysis revealed that for men, aggression (odds ratio 1.072, 95% CI: 1.032–1.112) was a key predictor. For women, younger age (odds ratio 0.970, 95% CI: 0.948–0.993), low BIS impulsivity ratings (odds ratio 1.018, 95% CI: 1.001–1.036) and living with children (odds ratio 0.448, 95% CI: 0.208–0.966) were protective factors.

Impulsive and aggressive behaviours are critical factors in suicide risk among younger individuals, indicating an age effect but no sex dimorphism, with aggressive behaviours being a better predictor for men and impulsive and aggressive behaviours for women.

Impulsivity is a multidimensional trait associated with substance use disorders (SUDs), but the relationship between distinct impulsivity facets and stages of substance use involvement remains unclear.

We used genomic structural equation modeling and genome-wide association studies (N = 79,729–903,147) to examine the latent genetic architecture of nine impulsivity traits and seven substance use (SU) and SUD traits.

We found that the SU and SUD factors were strongly genetically inter-correlated (rG=0.77) but their associations with impulsivity facets differed. Lack of premeditation, negative and positive urgency were equally positively genetically correlated with both the SU (rG=.0.30–0.50) and SUD (rG=0.38–0.46) factors; sensation seeking was more strongly genetically correlated with the SU factor (rG=0.27 versus rG=0.10); delay discounting was more strongly genetically correlated with the SUD factor (rG=0.31 versus rG=0.21); and lack of perseverance was only weakly genetically correlated with the SU factor (rG=0.10). After controlling for the genetic correlation between SU/SUD, we found that lack of premeditation was independently genetically associated with both the SU (β=0.42) and SUD factors (β=0.21); sensation seeking and positive urgency were independently genetically associated with the SU factor (β=0.48, β=0.33, respectively); and negative urgency and delay discounting were independently genetically associated with the SUD factor (β=0.33, β=0.36, respectively).

Our findings show that specific impulsivity facets confer risk for distinct stages of substance use involvement, with potential implications for SUDs prevention and treatment.

One of the most relevant risk factors for suicide is the presence of previous attempts. The symptomatic profile of people who reattempt suicide deserves attention. Network analysis is a promising tool to study this field.

To analyze the symptomatic network of patients who have attempted suicide recently and compare networks of people with several attempts and people with just one at baseline.

1043 adult participants from the Spanish cohort “SURVIVE” were part of this study. Participants were classified into two groups: single attempt group (n = 390) and reattempt group (n = 653). Different network analyses were carried out to study the relationships between suicidal ideation, behavior, psychiatric symptoms, diagnoses, childhood trauma, and impulsivity. A general network and one for each subgroup were estimated.

People with several suicide attempts at baseline scored significantly higher across all clinical scales. The symptomatic networks were equivalent in both groups of patients (p > .05). Although there were no overall differences between the networks, some nodes were more relevant according to group belonging.

People with a history of previous attempts have greater psychiatric symptom severity but the relationships between risk factors show the same structure when compared with the single attempt group. All risk factors deserve attention regardless of the number of attempts, but assessments can be adjusted to better monitor the occurrence of reattempts.