Dynamic networks of psychotic symptoms in adults living in precarious housing or homelessness. Issue 13 (18th October 2022)

• Record Type: Journal Article
• Authors: Jones, Andrea A.; Gicas, Kristina M.; Mostafavi, Sara; Woodward, Melissa L.; Leonova, Olga; Vila-Rodriguez, Fidel; Procyshyn, Ric M.; Cheng, Alex; Buchanan, Tari; Lang, Donna J.; MacEwan, G. William; Panenka, William J.; Barr, Alasdair M.; Thornton, Allen E.; Honer, William G.
• Is Part Of: Psychological medicine. Volume 52:Issue 13(2022)
• Page Start: 2559
• Page End: 2569
• Publication Date: 2022-10-18
• Subjects: Homelessness and precarious housing -- mortality -- multilevel vector autoregression -- network analysis -- psychotic disorder -- psychotic symptoms -- substance dependence; Psychiatry -- Periodicals; Medicine and psychology -- Periodicals; Clinical psychology -- Periodicals; 616.89
• DOI: 10.1017/S0033291720004444
• Languages: English
• ISSNs: 0033-2917

Abstract

Abstract: 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.