Research suggests that the COVID-19 pandemic and related stressors have triggered OCS for many individuals. However, the extent to which the pandemic and related stressors have influenced OCS seems to vary by individual factors, with some individuals being at greater risk than others. Despite the well-known role of cognitive inflexibility as a marker of risk for OCS, no study to date has examined the extent to which it influences individual susceptibility to developing OCS during the current pandemic. Toward this aim, the current study examined whether cognitive flexibility moderates whether exposure to COVID-related stressors is associated with OCS. Research suggests that the COVID-19 pandemic and related stressors have triggered OCS for many individuals. However, the extent to which the pandemic and related stressors have influenced OCS seems to vary by individual factors, with some individuals being at greater risk than others. Despite the well-known role of cognitive inflexibility as a marker of risk for OCS, no study to date has examined the extent to which it influences individual susceptibility to developing OCS during the current pandemic.

Toward this aim, the current study examined whether cognitive flexibility moderates whether exposure to COVID-related stressors is associated with OCS.

Participants were 169 students (age = 22 years, 62% female) from two student cohorts at Monash Business School who reported experiencing current OCS symptoms. All cohorts completed an online visual search task to measure flexibility of reward-related attentional capture (as an index of cognitive flexibility; measured using the VMAC-R task) and questionnaires gauging exposure to COVID-related stressors, pre-pandemic OCS, and current/lockdown OCS. A negative binomial regression examined the extent to which a) number of COVID-related stressors, b) cognitive flexibility, and c) their interaction was associated with lockdown OCS, adjusting for pre-COVID OCS.

The interaction between COVID-related stressors and cognitive flexibility was significantly associated with OCS (p = 0.048). Follow-up analyses showed that this interaction was driven by exposure to COVID-related stressors being associated with greater OCS among individuals with high cognitive inflexibility scores only (p = .029). Among cognitively flexible individuals, we did not find a relationship between COVID-related stressors and OCS (p = .470).

The result of this study highlight the role of cognitive flexibility as a potential moderator between COVID events and OCS. Critically, these findings have implications for detecting who is at risk of developing OCS following exposure to COVID-related stressors, and suggest that future interventions aimed at modifying cognitive flexibility may hold promise for boosting resilience against the effects of COVID-related stressors on OCS.

None Declared

Poor mental health is a state of psychological distress that is influenced by lifestyle factors such as sleep, diet, and physical activity. Compulsivity is a transdiagnostic phenotype cutting across a range of mental illnesses including obsessive–compulsive disorder, substance-related and addictive disorders, and is also influenced by lifestyle. Yet, how lifestyle relates to compulsivity is presently unknown, but important to understand to gain insights into individual differences in mental health. We assessed (a) the relationships between compulsivity and diet quality, sleep quality, and physical activity, and (b) whether psychological distress statistically contributes to these relationships.

We collected harmonized data on compulsivity, psychological distress, and lifestyle from two independent samples (Australian n = 880 and US n = 829). We used mediation analyses to investigate bidirectional relationships between compulsivity and lifestyle factors, and the role of psychological distress.

Higher compulsivity was significantly related to poorer diet and sleep. Psychological distress statistically mediated the relationship between poorer sleep quality and higher compulsivity, and partially statistically mediated the relationship between poorer diet and higher compulsivity.

Lifestyle interventions in compulsivity may target psychological distress in the first instance, followed by sleep and diet quality. As psychological distress links aspects of lifestyle and compulsivity, focusing on mitigating and managing distress may offer a useful therapeutic approach to improve physical and mental health. Future research may focus on the specific sleep and diet patterns which may alter compulsivity over time to inform lifestyle targets for prevention and treatment of functionally impairing compulsive behaviors.

Nonsuicidal self-injury (NSSI) is prevalent among adolescents and research is needed to clarify the mechanisms which contribute to the behavior. Here, the authors relate behavioral neurocognitive measures of impulsivity and compulsivity to repetitive and sporadic NSSI in a community sample of adolescents.

Computerized laboratory tasks (Affective Go/No-Go, Cambridge Gambling Task, and Probabilistic Reversal Task) were used to evaluate cognitive performance. Participants were adolescents aged 15 to 17 with (n = 50) and without (n = 190) NSSI history, sampled from the ROOTS project which recruited adolescents from secondary schools in Cambridgeshire, UK. NSSI was categorized as sporadic (1-3 instances per year) or repetitive (4 or more instances per year). Analyses were carried out in a series of linear and negative binomial regressions, controlling for age, gender, intelligence, and recent depressive symptoms.

Adolescents with lifetime NSSI, and repetitive NSSI specifically, made significantly more perseverative errors on the Probabilistic Reversal Task and exhibited significantly lower quality of decision making on the Cambridge Gambling Task compared to no-NSSI controls. Those with sporadic NSSI did not significantly differ from no-NSSI controls on task performance. NSSI was not associated with behavioral measures of impulsivity.

Repetitive NSSI is associated with increased behavioral compulsivity and disadvantageous decision making, but not with behavioral impulsivity. Future research should continue to investigate how neurocognitive phenotypes contribute to the onset and maintenance of NSSI, and determine whether compulsivity and addictive features of NSSI are potential targets for treatment.

The extent to which obsessive–compulsive and related disorders (OCRDs) are impulsive, compulsive, or both requires further investigation. We investigated the existence of different clusters in an online nonclinical sample and in which groups DSM-5 OCRDs and other related psychopathological symptoms are best placed.

Seven hundred and seventy-four adult participants completed online questionnaires including the Cambridge–Chicago Compulsivity Trait Scale (CHI-T), the Barratt Impulsiveness Scale (BIS-15), and a series of DSM-5 OCRDs symptom severity and other psychopathological measures. We used K-means cluster analysis using CHI-T and BIS responses to test three and four factor solutions. Next, we investigated whether different OCRDs symptoms predicted cluster membership using a multinomial regression model.

The best solution identified one “healthy” and three “clinical” clusters (ie, one predominantly “compulsive” group, one predominantly “impulsive” group, and one “mixed”—“compulsive and impulsive group”). A multinomial regression model found obsessive–compulsive, body dysmorphic, and schizotypal symptoms to be associated with the “mixed” and the “compulsive” clusters, and hoarding and emotional symptoms to be related, on a trend level, to the “impulsive” cluster. Additional analysis showed cognitive-perceptual schizotypal symptoms to be associated with the “mixed” but not the “compulsive” group.

Our findings suggest that obsessive–compulsive disorder; body dysmorphic disorder and schizotypal symptoms can be mapped across the “compulsive” and “mixed” clusters of the compulsive–impulsive spectrum. Although there was a trend toward hoarding being associated with the “impulsive” group, trichotillomania, and skin picking disorder symptoms did not clearly fit to the demarcated clusters.

We assessed self-reported drives for alcohol use and their impact on clinical features of alcohol use disorder (AUD) patients. Our prediction was that, in contrast to “affectively” (reward or fear) driven drinking, “habitual” drinking would be associated with worse clinical features in relation to alcohol use and higher occurrence of associated psychiatric symptoms.

Fifty-eight Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) alcohol abuse patients were assessed with a comprehensive battery of reward- and fear-based behavioral tendencies. An 18-item self-report instrument (the Habit, Reward and Fear Scale; HRFS) was employed to quantify affective (fear or reward) and non-affective (habitual) motivations for alcohol use. To characterize clinical and demographic measures associated with habit, reward, and fear, we conducted a partial least squares analysis.

Habitual alcohol use was significantly associated with the severity of alcohol dependence reflected across a range of domains and with lower number of detoxifications across multiple settings. In contrast, reward-driven alcohol use was associated with a single domain of alcohol dependence, reward-related behavioral tendencies, and lower number of detoxifications.

These results seem to be consistent with a shift from goal-directed to habit-driven alcohol use with severity and progression of addiction, complementing preclinical work and informing biological models of addiction. Both reward-related and habit-driven alcohol use were associated with lower number of detoxifications, perhaps stemming from more benign course for the reward-related and lack of treatment engagement for the habit-related alcohol abuse group. Future work should further explore the role of habit in this and other addictive disorders, and in obsessive-compulsive related disorders.

C-reactive protein (CRP) is a candidate biomarker for major depressive disorder (MDD), but it is unclear how peripheral CRP levels relate to the heterogeneous clinical phenotypes of the disorder.

To explore CRP in MDD and its phenotypic associations.

We recruited 102 treatment-resistant patients with MDD currently experiencing depression, 48 treatment-responsive patients with MDD not currently experiencing depression, 48 patients with depression who were not receiving medication and 54 healthy volunteers. High-sensitivity CRP in peripheral venous blood, body mass index (BMI) and questionnaire assessments of depression, anxiety and childhood trauma were measured. Group differences in CRP were estimated, and partial least squares (PLS) analysis explored the relationships between CRP and specific clinical phenotypes.

Compared with healthy volunteers, BMI-corrected CRP was significantly elevated in the treatment-resistant group (P = 0.007; Cohen's d = 0.47); but not significantly so in the treatment-responsive (d = 0.29) and untreated (d = 0.18) groups. PLS yielded an optimal two-factor solution that accounted for 34.7% of variation in clinical measures and for 36.0% of variation in CRP. Clinical phenotypes most strongly associated with CRP and heavily weighted on the first PLS component were vegetative depressive symptoms, BMI, state anxiety and feeling unloved as a child or wishing for a different childhood.

CRP was elevated in patients with MDD, and more so in treatment-resistant patients. Other phenotypes associated with elevated CRP included childhood adversity and specific depressive and anxious symptoms. We suggest that patients with MDD stratified for proinflammatory biomarkers, like CRP, have a distinctive clinical profile that might be responsive to second-line treatment with anti-inflammatory drugs.

S.R.C. consults for Cambridge Cognition and Shire; and his input in this project was funded by a Wellcome Trust Clinical Fellowship (110049/Z/15/Z). E.T.B. is employed half time by the University of Cambridge and half time by GlaxoSmithKline; he holds stock in GlaxoSmithKline. In the past 3 years, P.J.C. has served on an advisory board for Lundbeck. N.A.H. consults for GlaxoSmithKline. P.d.B., D.N.C.J. and W.C.D. are employees of Janssen Research & Development, LLC., of Johnson & Johnson, and hold stock in Johnson & Johnson. The other authors report no financial disclosures or potential conflicts of interest.

To examine a library-based approach to addressing food insecurity through a child and adult summer meal programme. The study examines: (i) risk of household food insecurity among participants; (ii) perspectives on the library meal programme; and (iii) barriers to utilizing other community food resources.

Quantitative surveys with adult participants and qualitative semi-structured interviews with a sub-sample of adult participants.

Ten libraries using public and private funding to serve meals to children and adults for six to eight weeks in low-income Silicon Valley communities (California, USA) during summer 2015.

Adult survey participants (≥18 years) were recruited to obtain maximum capture, while a sub-sample of interview participants was recruited through maximum variation purposeful sampling.

Survey participants (n 161) were largely Latino (71 %) and Asian (23 %). Forty-one per cent of participants screened positive for risk of food insecurity in the past 12 months. A sub-sample of programme participants engaged in qualitative interviews (n 67). Interviewees reported appreciating the library’s child enrichment programmes, resources, and open and welcoming atmosphere. Provision of adult meals was described as building community among library patrons, neighbours and staff. Participants emphasized lack of awareness, misinformation about programmes, structural barriers (i.e. transportation), immigration fears and stigma as barriers to utilizing community food resources.

Food insecurity remains high in our study population. Public libraries are ideal locations for community-based meal programmes due to their welcoming and stigma-free environment. Libraries are well positioned to link individuals to other social services given their reputation as trusted community organizations.