Suicidal ideation constitutes a central element of most theories of suicide and is the defining facet separating suicide from other causes of death such as accidents. However, despite a high worldwide prevalence, most research has focused on suicidal behaviours, such as completed suicide and suicide attempts, while the greater proportion who experienced ideation, which frequently precedes suicidal behaviour, have received much less attention. This study aims to examine the characteristics of those presenting to EDs with suicidal ideation and quantify the associated risk of suicide and other causes of death.

Retrospective cohort study was performed based on population-wide health administration data linked to data from the Northern Ireland Registry of Self-Harm and centrally held mortality records from April 2012 to December 2019. Mortality data, coded as suicide, all-external causes and all-cause mortality were analysed using Cox proportional hazards. Additional cause-specific analyses included accidental deaths, deaths from natural causes and drug and alcohol-related causes.

There were 1,662,118 individuals aged over 10 years, of whom 15,267 presented to the ED with ideation during the study period. Individuals with ideation had a 10-fold increased risk of death from suicide (hazard ratio [HRadj] = 10.84, 95% confidence interval [CI] 9.18, 12.80) and from all-external causes (HRadj = 10.65, 95% CI 9.66, 11.74) and a threefold risk of death from all-causes (HRadj = 3.01, 95% CI 2.84, 3.20). Further cause-specific analyses indicated that risk of accidental death (HRadj = 8.24, 95% CI 6.29, 10.81), drug-related (HRadj = 15.17, 95% CI 11.36, 20.26) and alcohol-related (HRadj = 10.57, 95% CI 9.07, 12.31) has also significantly increased. There were few socio-demographic and economic characteristics that would identify which of these patients are most at risk of suicide or other causes of death.

Identifying people with suicidal ideation is recognized to be both important but difficult in practice; this study shows that presentations to EDs with self-harm or suicide ideation represent an important potential intervention point for this hard-to-reach vulnerable population. However, and unlike individuals presenting with self-harm, clinical guidelines for the management and recommended best practice and care of these individuals are lacking. Whilst suicide prevention may be the primary focus of interventions aimed at those experiencing self-harm and suicide ideation, death from other preventable causes, especially substance misuse, should also be a cause of concern.

There is currently no universally accepted measure for population-based surveillance of mood and anxiety disorders. As such, the use of multiple linked measures could provide a more accurate estimate of population prevalence. Our primary objective was to apply Bayesian methods to two commonly employed population measures of mood and anxiety disorders to make inferences regarding the population prevalence and measurement properties of a combined measure.

We used data from the 2012 Canadian Community Health Survey – Mental Health linked to health administrative databases in Ontario, Canada. Structured interview diagnoses were obtained from the survey, and health administrative diagnoses were identified using a standardised algorithm. These two prevalence estimates, in addition to data on the concordance between these measures and prior estimates of their psychometric properties, were used to inform our combined estimate. The marginal posterior densities of all parameters were estimated using Hamiltonian Monte Carlo (HMC), a Markov Chain Monte Carlo technique. Summaries of posterior distributions, including the means and 95% equally tailed posterior credible intervals, were used for interpretation of the results.

The combined prevalence mean was 8.6%, with a credible interval of 6.8–10.6%. This combined estimate sits between Bayesian-derived prevalence estimates from administrative data-derived diagnoses (mean = 7.4%) and the survey-derived diagnoses (mean = 13.9%). The results of our sensitivity analysis suggest that varying the specificity of the survey-derived measure has an appreciable impact on the combined posterior prevalence estimate. Our combined posterior prevalence estimate remained stable when varying other prior information. We detected no problematic HMC behaviour, and our posterior predictive checks suggest that our model can reliably recreate our data.

Accurate population-based estimates of disease are the cornerstone of health service planning and resource allocation. As a greater number of linked population data sources become available, so too does the opportunity for researchers to fully capitalise on the data. The true population prevalence of mood and anxiety disorders may reside between estimates obtained from survey data and health administrative data. We have demonstrated how the use of Bayesian approaches may provide a more informed and accurate estimate of mood and anxiety disorders in the population. This work provides a blueprint for future population-based estimates of disease using linked health data.

Dopo una breve rassegna sui dati di confronto tra Registri Psichiatrici dei Casi (RPC) disponibili nella letteratura internazionale, vengono analizzati gli indici sociodemografici e i tassi standardizzati (per età e sesso) relativi alle attività assistenziali (anni 1987–90) svolte in cinque aree italiane di RPC. Gli indici socio-anagrafici sono risultati correlati con le caratteristiche urbano-rurali del territorio. In ognuna delle cinque aree di registro esisteva, alia fine del 1990, una rete di servizi considerata adeguata rispetto alle esigenze della popolazione. I tassi totali di prevalenza un giorno sono in lieve aumento in tutte le aree di RPC, mentre quelli di prevalenza un anno e incidenza hanno avuto un andamento piuttosto differenziato nelle varie aree. II ricorso al day-hospital è diventato mediamente piu frequente e l'attività territoriale è aumentata dappertutto. Sono diminuiti parallelamente i ricoveri. II fenomeno della lungodegenza è tuttora presente, anche se in forma ridotta, in alcune aree di RPC. I soggetti lungoospitati in comunità sono aumentati in un'area (Arezzo), diminuiti in un'altra (Caltagirone), mentre sono stabili nelle altre aree. I lungoassistiti sono aumentati in quattro aree e in lieve flessione nella quinta (Arezzo). Non e emersa una relazione tra livelli di assistenza psichiatrica erogata e caratteristiche della popolazione di riferimento. Secondo un punteggio assistenziale ponderato di costo lo sviluppo dell'attività assistenziale ha determinato un aumento dei costi a Verona-Sud e ad Arezzo, una diminuzione a Caltagirone e a Legnano e nessuna variazione a Portogruaro.

servizi psichiatrici territoriali, registri psichiatrici dei casi, utilizzazione dei servizi.

After a brief review of the literatur on comparison between Psychiatric Case Registers (PCR), this paper analyzes sociodemografic data and 1987-1990 age/sex standardised rates of psychiatric treatment in five Italian areas with a PCR. There was a correlation between sociodemografic indices and urban-rural characteristics of the areas. At the end of 1990 the comprehensive community psychiatric service of each area was considered able to meet the needs of the population. During the four years of our survey, one-day prevalence rates were consistently slighty increasing, while one-year prevalence and incidence rates showed different trend in the five areas. Overall, there was a development of the community services and a decrease of psychiatric admissions. There were still few hospital long-stay patients in some areas, but what is more evident was the increase of the number of long-term patients (hostel long-stay patients and communiy long-term patients). No correlations were evident between levels of psychiatric treatment and characteristics of the populations in the five areas. The development of a comprehensive network of community services required an increase of the costs in Verona-Sud and Arezzo, a decrease in Caltagirone and Legnano, while there was no variation of costs in Portogruaro.

The introduction of second generation antipsychotic (SGA) medication over a decade ago led to changes in prescribing practices; these drugs have eclipsed their predecessors as treatments for schizophrenia. However, the metabolic side effects of these newer antipsychotics have been marked and there are increasing concerns as to whether these novel drugs really are superior to their predecessors in terms of the balance between risks and benefits. In this article, we review the literature regarding comparisons between first generation antipsychotic (FGA) and SGA in terms of clinical effectiveness.

Large (n > 150) randomized-controlled trials (RCTs) comparing the effectiveness (efficacy and side effects) of FGA and SGA medications other than clozapine were reviewed, as were meta-analyses that included smaller studies.

The superiority in efficacy and reduced extrapyramidal side effects (EPSE) of SGAs is modest, especially when compared with low-dose FGAs. However, the high risk of weight gain and other metabolic disturbances associated with certain SGAs such as olanzapine is markedly higher than the risk with FGAs at the doses used in the trials.

The efficacy profiles of various FGAs and SGAs are relatively similar, but their side effects vary between and within classes. Overall, large pragmatic trials of clinical effectiveness indicate that the care used in prescribing and managing drug treatments to ensure tolerability may be more important than the class of drug used.

COVID-19 has long-term impacts on public mental health, while few research studies incorporate multidimensional methods to thoroughly characterise the psychological profile of general population and little detailed guidance exists for mental health management during the pandemic. This research aims to capture long-term psychological profile of general population following COVID-19 by integrating trajectory modelling approaches, latent trajectory pattern identification and network analyses.

Longitudinal data were collected from a nationwide sample of 18 804 adults in 12 months after COVID-19 outbreak in China. Patient Health Questionnaire-9, Generalised Anxiety Disorder-7 and Insomnia Severity Index were used to measure depression, anxiety and insomnia, respectively. The unconditional and conditional latent growth curve models were fitted to investigate trajectories and long-term predictors for psychological symptoms. We employed latent growth mixture model to identify the major psychological symptom trajectory patterns, and ran sparse Gaussian graphical models with graphical lasso to explore the evolution of psychopathological network.

At 12 months after COVID-19 outbreak, psychological symptoms generally alleviated, and five psychological symptom trajectories with different demographics were identified: normal stable (63.4%), mild stable (15.3%), mild-increase to decrease (11.7%), mild-decrease to increase (4.0%) and moderate/severe stable (5.5%). The finding indicated that there were still about 5% individuals showing consistently severe distress and approximately 16% following fluctuating psychological trajectories, who should be continuously monitored. For individuals with persistently severe trajectories and those with fluctuating trajectories, central or bridge symptoms in the network were mainly ‘motor abnormality’ and ‘sad mood’, respectively. Compared with initial peak and late COVID-19 phase, aftermath of initial peak might be a psychologically vulnerable period with highest network connectivity. The central and bridge symptoms for aftermath of initial peak (‘appetite change’ and ‘trouble of relaxing’) were totally different from those at other pandemic phases (‘sad mood’).

This research identified the overall growing trend, long-term predictors, trajectory classes and evolutionary pattern of psychopathological network of psychological symptoms in 12 months after COVID-19 outbreak. It provides a multidimensional long-term psychological profile of the general population after COVID-19 outbreak, and accentuates the essentiality of continuous psychological monitoring, as well as population- and time-specific psychological management after COVID-19. We believe our findings can offer reference for long-term psychological management after pandemics.

Objective - The question of how many psychopathologic factors are involved in Anorexia Nervosa (AN) and Bulimia Nervosa (BN) has no definite answer. The combination of psychopathology and personality research may shed a light upon the determinants of eating pathology. Methods - The study consists inthe administration of the Temperament and Character Inventory (TCI) and the Eating Disorder Inventory 2 (EDI-2) to 95 outpatient anorectic women (50 restrictive and 45 binge-purging) and to 92 bulimic outpatientwomen (78 with and 14 without purging behaviours). The respective scores of each DCA subgroup are compared. Results - Restricter anorectics are characterised by lower novelty seeking on respect to all the other groups and by a higher self-directedness on respect to bingeing-purging anorectics and purging bulimics. Alsopsychopathologic differences between restricter anorectics and the other groups are extensive. Bingeing-purging anorexia shares many traits with bulimia. Conclusions - In their complex, data suggest and in-deep study aimed to a possible re-classification of EDs which would take impulsiveness in greater consideration. The differences in temperament and character traits may partially be responsible of the repression or discontrol of impulsive eating behaviours in different ED subtypes.

Authors received grants and research support from Regione Piemonte (Project no. 19701/27001).

The definition of ultra-high risk (UHR) for psychosis was derived from community-based help-seeking populations. Prisoners have high rates of psychosis and other severe mental health (MH) problems. They also have high rates of risk factors for psychiatric morbidity and yet they are among the populations who are less likely to seek help in the community. Despite a policy of equivalence of care for individuals in prison there are no early intervention services for psychosis in prisons in the UK. This was a study exploring feasibility of introducing such a service into a local London prison. This paper discusses the differences in MH profile of prisoners who met criteria for at-risk mental state compared with those who did not.

A two-stage procedure was used. Participants in a local London prison were routinely screened in the first week of arrival in prison with the Prodrome Questionnaire – Brief Version (PQ-B; Loewy et al. 2011). Those that screened positive as well as a small sample of those who screened negative underwent a further semi-structured assessment to see whether they met criteria for UHR state. Data on self-harm and suicide attempt, family psychiatric history, and anxiety and depression was also collected.

A total of 891 prisoners were screened, 44% of whom screened positive. A total of 354 underwent second stage assessment, 60 of whom had screened negative. Four groups were identified: those that had no MH problems, a group experiencing First Episode Psychosis, those at UHR of psychosis and a group with other MH problems. The UHR state and Psychotic groups had very similar MH profiles of symptoms and distress. Prisoners with no MH problems were at the other end of the spectrum with few symptoms and little distress. The Other group fell in between this group and the psychotic spectrum group in terms of symptomology and distress.

This study is the first to examine risk for psychosis in an adult male prison population. We identified a broad spectrum of MH disorder for which there is little current service provision in prisons. Screening early in the custodial process has the potential to identify unmet MH need and has implications for keeping individuals safe in custody. A long-term strategic approach is required to address MH need in prisons.