Search

Background: People living in precarious housing or homelessness have higher than expected rates of psychotic disorders, persistent psychotic symptoms, and premature mortality. Psychotic symptoms can be modeled as a complex dynamic system, allowing assessment of roles for risk factors in symptom development, persistence, and contribution to premature mortality. Method: The severity of delusions, conceptual disorganization, hallucinations, suspiciousness, and unusual thought content was rated monthly over 5 years in a community sample of precariously housed/homeless adults (n = 375) in Vancouver, Canada. Multilevel vector auto-regression analysis was used to construct temporal, contemporaneous, and between-person symptom networks. Network measures were compared between participants with (n = 219) or without (n = 156) history of psychotic disorder using bootstrap and permutation analyses. Relationships between network connectivity and risk factors including homelessness, trauma, and substance dependence were estimated by multiple linear regression. The contribution of network measures to premature mortality was estimated by Cox proportional hazard models. Results: Delusions and unusual thought content were central symptoms in the multilevel network. Each psychotic symptom was positively reinforcing over time, an effect most pronounced in participants with a history of psychotic disorder. Global connectivity was similar between those with and without such a history. Greater connectivity between symptoms was associated with methamphetamine dependence and past trauma exposure. Auto-regressive connectivity was associated with premature mortality in participants under age 55. Conclusions: Past and current experiences contribute to the severity and dynamic relationships between psychotic symptoms. Interrupting the self-perpetuating severity of psychotic symptoms in a vulnerable group of people could contribute to reducing premature mortality. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic arrived with significant hardship. The secondary impacts of the pandemic and our response with respect to pediatric mental health has been a subject of significant discussion in the lay public, media, and decision-maker groups. The initiatives to control SARS-CoV-2 have become politicized. A narrative emerged early that strategies to mitigate the spread of the virus were harming children’s mental health. Position statements from professional organizations in Canada have been used to support this claim. The aim of this commentary is to provide a reanalysis of some of the data and research methodology used to support these position statements. Some of the direct claims such as “online learning is harmful,” should be supported by a strong evidence base with significant consensus that speaks directly to causality. We find that the quality of the studies and the heterogeneity of the results does not support the strength of the unequivocal claims made by these position statements. In a sample of the current literature examining the issue, we find that outcomes range from improvements to deteriorations. Earlier studies relying on cross-sectional surveys typically have shown stronger negative effects than longitudinal cohort studies, which often have also shown groups of children experiencing no changes to measured mental health characteristics or groups that have experienced improvements. We argue it is imperative that policymakers use the highest quality evidence in making the best decisions. We as professionals must avoid discussing only one side of heterogeneous evidence. [ABSTRACT FROM AUTHOR]