COVID-19 and psychiatric disorders among young people: a cross-sectional study.

During the COVID-19 pandemic, a significant rise in mental health issues was observed. Particularly, children and adolescents have shown a higher risk of developing mental disorders than adults. This study aimed to describe the evolving features of the requests for psychiatric emergency interventions during the COVID-19 pandemic in young people. We conducted a cross-sectional study comparing the number, characteristics, and symptoms of people aged between 12 and 18 years old attending one Emergency Department (ED) for psychiatric issues, considering three different periods: T0 (8 March 2019-7 March 2020), T1 (8 March 2020-7 March 2021), and T2 (8 March 2021-7 March 2022). Total admissions were 220: 99 (45%) during T0, 40 (18.1%) for T1, and 81 (36.8%) for T2 ( P  < 0.001). A significant decrease in the mean age from T0 to T1 was found ( P  < 0.01). Admissions for psychomotor agitation decreased, while admission due to anxiety disorder and nonsuicidal self-injury raised significantly ( P  < 0.05), as for first psychiatric presentation ( P  < 0.01). Regarding substance use, a significant reduction was observed ( P  < 0.05). The rates of eating disorders ( P  < 0.001) and early insomnia ( P  < 0.01) increased from T0. These findings highlight the worsening of psychiatric symptoms in the young population during the COVID-19 pandemic.

Prevalence and correlates of manic/hypomanic and depressive predominant polarity in bipolar disorder: systematic review and meta-analysis.

BACKGROUND: Identification of the predominant polarity, i.e. hypomanic/manic (mPP) or depressive predominant polarity (dPP), might help clinicians to improve personalised management of bipolar disorder. AIMS: We performed a systematic review and meta-analysis to estimate prevalence and correlates of mPP and dPP in bipolar disorder. METHOD: The protocol was registered in the Open Science Framework Registries (https://doi.org/10.17605/OSF.IO/8S2HU). We searched main electronic databases up to December 2023 and performed random-effects meta-analyses of weighted prevalence of mPP and dPP. Odds ratios and weighted mean differences (WMDs) were used for relevant correlates. RESULTS: We included 28 studies, providing information on rates and/or correlates of mPP and dPP. We estimated similar rates of mPP (weighted prevalence = 30.0%, 95% CI: 23.1 to 37.4%) and dPP (weighted prevalence = 28.5%, 95% CI: 23.7 to 33.7%) in bipolar disorder. Younger age (WMD = -3.19, 95% CI: -5.30 to -1.08 years), male gender (odds ratio = 1.39, 95% CI: 1.10 to 1.76), bipolar-I disorder (odds ratio = 4.82, 95% CI: 2.27 to 10.24), psychotic features (odds ratio = 1.56, 95% CI: 1.01 to 2.41), earlier onset (WMD = -1.57, 95% CI: -2.88 to -0.26 years) and manic onset (odds ratio = 13.54, 95% CI: 5.83 to 31.46) were associated with mPP (P < 0.05). Depressive onset (odds ratio = 12.09, 95% CI: 6.38 to 22.90), number of mood episodes (WMD = 0.99, 95% CI: 0.28 to 1.70 episodes), history of suicide attempts (odds ratio = 2.09, 95% CI: 1.49 to 2.93) and being in a relationship (odds ratio = 1.98, 95% CI: 1.22 to 3.22) were associated with dPP (P < 0.05). No differences were estimated for other variables. CONCLUSIONS: Despite some limitations, our findings support the hypothesis that predominant polarity might be a useful specifier of bipolar disorder. Evidence quality was mixed, considering effects magnitude, consistency, precision and publication bias. Different predominant polarities may identify subgroups of patients with specific clinical characteristics.