Jessica Buckle, Gail Kavanagh, Aries Connolly, Sophie Arora, Emily Forshall, Titus Murphy, Marco Pereira, Richard Whale
{"title":"基线时的就业、教育或培训状况(NEET)可预测初发精神病的高阈值症状缓解:一项队列研究","authors":"Jessica Buckle, Gail Kavanagh, Aries Connolly, Sophie Arora, Emily Forshall, Titus Murphy, Marco Pereira, Richard Whale","doi":"10.1111/eip.13586","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aim</h3>\n \n <p>Clinical studies following a first episode of psychosis (FEP) have increasingly exposed the complexity of identifying predictive outcome variables. We aimed to explore the utility of NEET status (not in education, employment or training) at FEP onset in predicting high threshold clinical remission (absence of positive symptoms and off antipsychotic medication for 6 months) at 3 years following treatment with an early intervention for psychosis service.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We studied an established retrospective naturalistic cohort of 354 patients with FEP (the S1P cohort).</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Baseline NEET status was identified in 172 patients (49%) and was significantly associated with mean duration of untreated psychosis (<i>p</i> = .035). Only 64 (21%) achieved defined remission criteria by 3 years. Multivariate logistic regression analysis revealed baseline NEET status as the only variable significantly associated with remission status (<i>p</i> < .001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>NEET may represent an important predictive variable of symptomatic outcomes which requires prospective evaluation.</p>\n </section>\n </div>","PeriodicalId":11385,"journal":{"name":"Early Intervention in Psychiatry","volume":"19 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Employment, education or training status (NEET) at baseline predicts high-threshold symptomatic remission in first episode psychosis: A cohort study\",\"authors\":\"Jessica Buckle, Gail Kavanagh, Aries Connolly, Sophie Arora, Emily Forshall, Titus Murphy, Marco Pereira, Richard Whale\",\"doi\":\"10.1111/eip.13586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aim</h3>\\n \\n <p>Clinical studies following a first episode of psychosis (FEP) have increasingly exposed the complexity of identifying predictive outcome variables. We aimed to explore the utility of NEET status (not in education, employment or training) at FEP onset in predicting high threshold clinical remission (absence of positive symptoms and off antipsychotic medication for 6 months) at 3 years following treatment with an early intervention for psychosis service.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We studied an established retrospective naturalistic cohort of 354 patients with FEP (the S1P cohort).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Baseline NEET status was identified in 172 patients (49%) and was significantly associated with mean duration of untreated psychosis (<i>p</i> = .035). Only 64 (21%) achieved defined remission criteria by 3 years. Multivariate logistic regression analysis revealed baseline NEET status as the only variable significantly associated with remission status (<i>p</i> < .001).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>NEET may represent an important predictive variable of symptomatic outcomes which requires prospective evaluation.</p>\\n </section>\\n </div>\",\"PeriodicalId\":11385,\"journal\":{\"name\":\"Early Intervention in Psychiatry\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Early Intervention in Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/eip.13586\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Early Intervention in Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/eip.13586","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Employment, education or training status (NEET) at baseline predicts high-threshold symptomatic remission in first episode psychosis: A cohort study
Aim
Clinical studies following a first episode of psychosis (FEP) have increasingly exposed the complexity of identifying predictive outcome variables. We aimed to explore the utility of NEET status (not in education, employment or training) at FEP onset in predicting high threshold clinical remission (absence of positive symptoms and off antipsychotic medication for 6 months) at 3 years following treatment with an early intervention for psychosis service.
Methods
We studied an established retrospective naturalistic cohort of 354 patients with FEP (the S1P cohort).
Results
Baseline NEET status was identified in 172 patients (49%) and was significantly associated with mean duration of untreated psychosis (p = .035). Only 64 (21%) achieved defined remission criteria by 3 years. Multivariate logistic regression analysis revealed baseline NEET status as the only variable significantly associated with remission status (p < .001).
Conclusion
NEET may represent an important predictive variable of symptomatic outcomes which requires prospective evaluation.
期刊介绍:
Early Intervention in Psychiatry publishes original research articles and reviews dealing with the early recognition, diagnosis and treatment across the full range of mental and substance use disorders, as well as the underlying epidemiological, biological, psychological and social mechanisms that influence the onset and early course of these disorders. The journal provides comprehensive coverage of early intervention for the full range of psychiatric disorders and mental health problems, including schizophrenia and other psychoses, mood and anxiety disorders, substance use disorders, eating disorders and personality disorders. Papers in any of the following fields are considered: diagnostic issues, psychopathology, clinical epidemiology, biological mechanisms, treatments and other forms of intervention, clinical trials, health services and economic research and mental health policy. Special features are also published, including hypotheses, controversies and snapshots of innovative service models.