Assessment of the mental health of Irish adolescents in the community

Aim: This study aims to assess a community of Irish adolescents using the Strengths and Difficulties Questionnaire (SDQ) for behavioural difficulties and mental health disorders. Method: All fifth and sixth class pupils attending eight primary schools were eligible to participate. The self-report version of the SDQ was administered to the pupils in the classroom. Results: Thirty participants (8.7%) had an abnormal SDQ score and 53 (15.3%) had a borderline abnormal SDQ score. Abnormal SDQ scores were more common among females (9.7%; mean score = 11.86; sd = 5.4) than among males (7.6%; mean score = 10.96; sd = 5.26). The difference was most pronounced on the emotional symptoms subscale (females received a mean score of 4.03 [sd = 2.1] compared to a mean male score of 2.90 [sd = 2.1]). Conclusions: Mental health problems are widespread among Irish adolescents. The SDQ is a useful preliminary assessment tool of the mental health profile of Irish adolescents and highlights the need for childhood mental health promotion in schools. The SDQ could also be used in a primary care setting to screen adolescents for mental disorders.</p

Incidence and persistence of psychotic experiences in the general population: systematic review and meta-analysis

Background and hypothesis: Psychotic experiences (PEs) are associated with increased risk for mental disorders, in particular persistent PEs. PEs therefore might be useful within intervention research. We sought to systematically determine the incidence and persistence of PEs in the general population. Study design: A double-blind search of databases (Embase, Pubmed PMC, Psychinfo, Medline, and Web of Science) from inception to January 2023 and data extraction, were conducted. Study quality was assessed using the NIH assessment tool. Random effects models were conducted to calculate pooled incidence rate per person-year and proportion of persistent PEs per year. Age and study design were all examined using subgroup analyses. Demographic, risk factors, and outcomes for incidence and persistence of PEs were reported in a narrative synthesis. Study results: Using a double-blind screening method for abstract (k = 5763) and full text (k = 250) were screened. In total 91 samples from 71 studies were included, of which 39 were included in a meta-analysis (incidence: k = 17, n = 56 089; persistence: k = 22, n = 81 847). Incidence rate was 0.023 per person-year (95% CI [0.0129;0.0322]). That is, for every 100 people, 2 reported first onset PEs in a year. This was highest in adolescence at 5 per 100(13-17 years). The pooled persistence rate for PEs was 31.0% (95% CI [26.65,35.35]) This was highest in adolescence at 35.8%. Cannabis was particularly associated with incidence of PEs, and persistence of PEs were associated with multiple mental disorders. Conclusions: Each year incidence of PEs is 2 of every 100 people, and persists each year in 31% of cases, this risk is highest in adolescents</p

Prognostic models predicting transition to psychotic disorder using blood-based biomarkers: a systematic review and critical appraisal

Accumulating evidence suggests individuals with psychotic disorder show abnormalities in metabolic and inflammatory processes. Recently, several studies have employed blood-based predictors in models predicting transition to psychotic disorder in risk-enriched populations. A systematic review of the performance and methodology of prognostic models using blood-based biomarkers in the prediction of psychotic disorder from risk-enriched populations is warranted. Databases (PubMed, EMBASE and PsycINFO) were searched for eligible texts from 1998 to 15/05/2023, which detailed model development or validation studies. The checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) was used to guide data extraction from eligible texts and the Prediction Model Risk of Bias Assessment Tool (PROBAST) was used to assess the risk of bias and applicability of the studies. A narrative synthesis of the included studies was performed. Seventeen eligible studies were identified: 16 eligible model development studies and one eligible model validation study. A wide range of biomarkers were assessed, including nucleic acids, proteins, metabolites, and lipids. The range of C-index (area under the curve) estimates reported for the models was 0.67-1.00. No studies assessed model calibration. According to PROBAST criteria, all studies were at high risk of bias in the analysis domain. While a wide range of potentially predictive biomarkers were identified in the included studies, most studies did not account for overfitting in model performance estimates, no studies assessed calibration, and all models were at high risk of bias according to PROBAST criteria. External validation of the models is needed to provide more accurate estimates of their performance. Future studies which follow the latest available methodological and reporting guidelines and adopt strategies to accommodate required sample sizes for model development or validation will clarify the value of including blood-based biomarkers in models predicting psychosis. </p