Ida Ringbom, Jaana Suvisaari, Antti Kääriälä, Andre Sourander, Mika Gissler, Tiina Ristikari, David Gyllenberg
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We predicted that psychiatric disorders, diagnosed by specialist services between 1998 and 2007 when the cohort were 10-20 years of age, would be associated with subsequent long-term NEET (defined as NEET for at least 5 years between 2008 and 2015, when they were 20-28 years of age).</p><p><strong>Results: </strong>In total, 1438 individuals (2.6%) were long-term NEET during follow-up and the associations between long-term NEET and the 11 diagnostic categories we studied were statistically significant (P < 0.001). In multivariate models we included sociodemographic characteristics and upper secondary education as covariates, and the highest effect sizes, measured by odds ratios (OR) with 95% confidence intervals (CI), were found for psychosis (OR = 12.0, 95% CI 9.5-15.2) and autism spectrum disorder (OR = 17.3, 95% CI 11.5-26.0). If individuals had not successfully completed this education, 70.6% of those with autism spectrum disorder and 48.4% of those with psychosis were later long-term NEET.</p><p><strong>Conclusions: </strong>Adolescents who receive treatment for psychiatric disorders, particularly autism spectrum disorder or psychosis, need support to access education and employment. This could help to prevent marginalisation in early adulthood.</p>","PeriodicalId":520791,"journal":{"name":"The British journal of psychiatry : the journal of mental science","volume":" ","pages":"148-153"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Psychiatric disorders diagnosed in adolescence and subsequent long-term exclusion from education, employment or training: longitudinal national birth cohort study.\",\"authors\":\"Ida Ringbom, Jaana Suvisaari, Antti Kääriälä, Andre Sourander, Mika Gissler, Tiina Ristikari, David Gyllenberg\",\"doi\":\"10.1192/bjp.2021.146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Long-term 'not in education, employment or training' (NEET) status is an important indicator of youth marginalisation.</p><p><strong>Aims: </strong>To carry out a comprehensive overview of the associations between different psychiatric illnesses and long-term NEET status.</p><p><strong>Method: </strong>We used the register-based 1987 Finnish Birth Cohort study, which includes all live births in Finland during that year. 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引用次数: 18
摘要
背景:长期“未接受教育、就业或培训”(啃老族)状态是青年边缘化的一个重要指标。目的:对不同精神疾病与长期啃老族状态之间的关系进行全面综述。方法:我们使用1987年芬兰出生队列研究,其中包括那年芬兰所有的活产婴儿。在排除智力残疾、死亡或移民后,分析包括55273人。我们预测,在1998年至2007年间,当队列年龄为10-20岁时,由专家服务诊断的精神疾病将与随后的长期NEET(定义为在2008年至2015年间,当他们年龄为20-28岁时,至少有5年的NEET)相关。结果:随访期间,1438人(2.6%)为长期NEET,长期NEET与我们研究的11种诊断类别之间的相关性具有统计学意义(P < 0.001)。在多变量模型中,我们将社会人口学特征和高中教育程度作为协变量,并通过95%置信区间(CI)的比值比(OR)测量,发现精神病(OR = 12.0, 95% CI 9.5-15.2)和自闭症谱系障碍(OR = 17.3, 95% CI 11.5-26.0)的效应值最高。如果个人没有成功地完成这种教育,70.6%的自闭症谱系障碍患者和48.4%的精神病患者后来成为长期啃老族。结论:接受精神障碍治疗的青少年,特别是自闭症谱系障碍或精神病患者,在获得教育和就业方面需要支持。这可能有助于防止在成年早期被边缘化。
Psychiatric disorders diagnosed in adolescence and subsequent long-term exclusion from education, employment or training: longitudinal national birth cohort study.
Background: Long-term 'not in education, employment or training' (NEET) status is an important indicator of youth marginalisation.
Aims: To carry out a comprehensive overview of the associations between different psychiatric illnesses and long-term NEET status.
Method: We used the register-based 1987 Finnish Birth Cohort study, which includes all live births in Finland during that year. The analyses comprised 55 273 individuals after exclusions for intellectual disability, death or emigration. We predicted that psychiatric disorders, diagnosed by specialist services between 1998 and 2007 when the cohort were 10-20 years of age, would be associated with subsequent long-term NEET (defined as NEET for at least 5 years between 2008 and 2015, when they were 20-28 years of age).
Results: In total, 1438 individuals (2.6%) were long-term NEET during follow-up and the associations between long-term NEET and the 11 diagnostic categories we studied were statistically significant (P < 0.001). In multivariate models we included sociodemographic characteristics and upper secondary education as covariates, and the highest effect sizes, measured by odds ratios (OR) with 95% confidence intervals (CI), were found for psychosis (OR = 12.0, 95% CI 9.5-15.2) and autism spectrum disorder (OR = 17.3, 95% CI 11.5-26.0). If individuals had not successfully completed this education, 70.6% of those with autism spectrum disorder and 48.4% of those with psychosis were later long-term NEET.
Conclusions: Adolescents who receive treatment for psychiatric disorders, particularly autism spectrum disorder or psychosis, need support to access education and employment. This could help to prevent marginalisation in early adulthood.