Persistence of psychotic experiences and clinical outcomes in adolescents at familial high risk of schizophrenia or bipolar disorder: The Danish High Risk and Resilience Study
Rohd, S. B.; Thorup, A. A.; Wilms, M.; Schiavon, M.; Streyma, D. H. B.; Laursen, A. F.; Bundgaard, A. F.; Sondergaard, A.; Krantz, M. F.; Veddum, L.; Hjorthoj, C.; Greve, A.; Mors, O.; Nordentoft, M.; Hemager, N.; Gregersen, M.
Show abstract
Objective: This study examined the prevalence of psychotic experiences (PE) and how early onset and persistence of PE contribute to risk and severity of mental disorders in adolescents at familial high-risk of schizophrenia (FHR-SZ) or bipolar disorder (FHR-BP) and adolescents from a population-based control group (PBC). Methods: This is the second follow-up of a nationwide cohort study including 522 children at FHR-SZ (N=202), FHR-BP (N=120), and PBC (N=200). Participants were assessed at ages 7, 11, and 15 using a semi-structured interview to evaluate PE and mental disorders. Results: At age 15, adolescents at FHR-SZ reported more PE than PBC over the past six months (current) and the past four years, while adolescents at FHR-BP only reported more current PE. PE reported at two or three timepoints (persistent PE) predicted any Axis I disorder in mid-adolescence, corresponding to three- (OR 2.9, 95% CI [1.5-5.7]) and 21-fold (OR 21.4, 95% CI [2.8-162.3]) increased risks, respectively. Persistent PE also predicted multimorbidity, with three- (OR 2.8, 95% CI [1.0-7.6]) and four-fold (OR 4.1, 95% CI [1.2-14.1]) increased risks, respectively. This was after adjustment for sex, early mental disorders, and familial risk. Conclusions: This study demonstrates a strong link between persistent PE and mid-adolescence mental disorders. Our findings emphasize PE as important risk markers for mental disorders during mid-adolescence and highlight the importance of monitoring children with PE before age 7 who develop persistent symptoms.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pan T cells, Helper T cells, and Regulatory T cells are Associated with Negative Symptoms in Persons with Anti-Gliadin Antibody Positive Schizophrenia and Related Disorders 95%
- Moderate to severe negative symptoms predict low risk of symptoms worsening in schizophrenia patients in CATIE 95%
- Dopamine D1 receptor availability is not associated with delusional ideation measures of psychosis proneness 95%
Similar papers in this journal
- Can we detect the undetected? Comparing the prodromes of individuals with first episode psychosis detected and undetected by clinical high risk for psychosis services: an electronic health record study 95%
- Motor and Activity Psychosis-Risk (MAP-R) Scale: An exploration of scale structure with replication and validation 94%
- Severe outcomes and length of stay among people with schizophrenia hospitalized for COVID-19: A population-based retrospective cohort study 94%
Similar papers in this journal
- Analysis of diagnosis instability in electronic health records reveals diverse disease trajectories of severe mental illness 94%
- Associations between antipsychotic use, substance use and relapse risks in patients with schizophrenia - real-world evidence from two national cohorts 93%
- Smoking and the risk for bipolar disorder: causal evidence from a bidirectional Mendelian randomization study 93%
Similar papers in this journal
- Subjective mental health and need for care among psychiatric outpatients during the COVID-19 pandemic: results from an outreach initiative in Sweden 93%
- The Relationship between Cannabis Use and Cognition in People with Bipolar Disorder: A Systematic Scoping Review 92%
- Prevalence and Predictors of General Psychiatric Disorders and Loneliness during COVID-19 in the United Kingdom: Results from the Understanding Society UKHLS 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.