UK National Institute of Health Research (NIHR) Specialist Biomedical Research Centre for Mental Health, SLaM and the Institute of Psychiatry at King's College London, Psychiatry Research Trust, Maudsley Charity Research Fund, and th European Community's Seventh Framework Program grant (agreement No. HEALTH-F2-2009-241909 [Project EU-GEI]).

The finding that people with a first episode of psychosis had smoked higher-potency cannabis, for longer and with greater frequency, than a healthy control group is consistent with the hypothesis that Delta 9-THC is the active ingredient increasing risk of psychosis. This has important public health implications, given the increased availability and use of high-potency cannabis.

Background Recent data suggest trait-like neurocognitive impairments in bipolar disorder (BPD), with deficits about 1 s.D. below average, less severe than deficits noted in schizophrenia. The frequency of significant impairment in BPD is approximately 60%, with 40% of patients characterized as cognitively spared. This contrasts with a more homogeneous presentation in schizophrenia. It is not understood why some BPD patients develop deficits while others do not. Method A total of 136 patients with BPD completed the MATRICS Consensus Cognitive Battery and data were entered into hierarchical cluster analyses to: (1) determine the optimal number of clusters (subgroups) that fit the sample; and (2) assign subjects to a specific cluster based on individual profiles. We then compared subgroups on several clinical factors and real-world community functioning. Results Three distinct neurocognitive subgroups were found: (1) an intact group with performance comparable with healthy controls on all domains but with superior social cognition; (2) a selective impairment group with moderate deficits on processing speed, attention, verbal learning and social cognition and normal functioning in other domains; and (3) a global impairment group with severe deficits across all cognitive domains comparable with deficits in schizophrenia. Conclusions These results suggest the presence of multiple cognitive subgroups in BPD with unique profiles and begin to address the relationships between these subgroups, several clinical factors and functional outcome. Next steps will include using these data to help guide future efforts to target these disabling symptoms with treatment.

AbstractObjectiveThe primary objective of this paper is to present a short measure of perceptions on the impact of the COVID-19 pandemic on quality of life, along with analysis of its reliability and validity in non-clinical and clinical samples.MethodsThe scale was named The COV19 – Impact on Quality of Life (COV19-QoL) and it consists of six items presented in the form of a 5-point Likert scale. The items (i.e. statements) cover main areas of quality of life with regard to mental health. The scale was administered to 1346 participants from the general population in Croatia (the non-clinical sample) and 201 patients with severe mental illness recruited from four European countries (Bosnia and Herzegovina, Montenegro, North Macedonia and Serbia), constituting the clinical sample. The clinical sample was part of the randomised controlled trial IMPULSE funded by the European Commission. Data on age and gender were collected for both samples, along with psychiatric diagnoses collected for the clinical sample.ResultsMain findings included a high internal consistency of the scale and a moderate to strong positive correlation among participants’ scores on different items. Principal component analysis yielded one latent component. The correlation between participants’ age and their results on COV19-QoL was negligible. Participants’ perceived quality of life was the most impacted domain, whereas mental health, personal safety and levels of depression were the least impacted domains by the pandemic.DiscussionThe COV19-QoL is a reliable and valid scale which can be used to explore the impact of COVID-19 on quality of life. The scale can be successfully used by researchers and clinicians interested in the impact of the pandemic on people experiencing various pre-existing mental health issues (e.g. anxiety, mood and personality disorders) as well as those without such issues.