{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T18:48:30Z","timestamp":1789843710447,"version":"4.0.1"},"reference-count":48,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2024,7,21]],"date-time":"2024-07-21T00:00:00Z","timestamp":1721520000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Early Intervention Psych"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Back<\/jats:title><jats:p>Service disengagement is common in subjects at CHR\u2010P (clinical high risk for psychosis), potentially worsening daily functioning and increasing the duration of untreated psychosis. That is why to identify baseline predictors of service disengagement could help better tailoring follow\u2010up on every CHR\u2010P individual.<\/jats:p><\/jats:sec><jats:sec><jats:title>AIMS<\/jats:title><jats:p>Since there are few studies on this topic, the goals of this examination were: (1) to calculate service disengagement rates in a CHR\u2010P sample along 2\u2010years of follow\u2010up; and (2) to examine the most relevant predictive factors of disengagement at baseline.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>All young CHR\u2010P participants were enrolled within the \u2018Parma At\u2010Risk Mental States\u2019 (PARMS) protocol. At entry, the Global Assessment of Functioning (GAF) scale and the positive and negative syndrome scale (PANSS) were completed. Cox regression analyses were used.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Hundred and eighty CHR\u2010P subjects were recruited in this examination. During the follow\u2010up, a 2\u2010year service disengagement prevalence rate of 15% was observed. A statistically robust predictive factor of service disengagement was a lower prescription of antidepressant drug at entry. Other relevant baseline predictive factors were migrant status, higher GAF score, lower levels of anxious\u2010depressive symptoms and a lower acceptance of psychosocial interventions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Baseline presence of anxious\u2010depressive features in CHR\u2010P individuals could favour engagement to specialized EIP services. However, implementing strategies to improve patients' motivation and involvement in care are needed.<\/jats:p><\/jats:sec>","DOI":"10.1111\/eip.13599","type":"journal-article","created":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T05:49:02Z","timestamp":1721627342000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Clinical high risk for psychosis and service disengagement: Incidence and predictors across 2\u2009years of follow\u2010up"],"prefix":"10.1111","volume":"19","author":[{"given":"Fabio","family":"Catalano","sequence":"first","affiliation":[{"name":"Department of Biomedical and Neuromotor Sciences Universit\u00e0 di Bologna  Bologna Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emanuela","family":"Leuci","sequence":"additional","affiliation":[{"name":"Department of Mental Health Azienda USL di Parma  Parma 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