Hotchkiss Brain Institute, Department of Psychiatry, University of Calgary, Mathison Centre, 3280 Hospital Dr NW, Calgary, AB, Calgary, AB, T2N 4Z6, Canada.
Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
BMC Psychiatry. 2018 Jul 5;18(1):219. doi: 10.1186/s12888-018-1801-0.
Most mental disorders begin in adolescence; however, there are gaps in our understanding of youth mental health. Clinical and policy gaps arise from our current inability to predict, from amongst all youth who experience mild behavioural disturbances, who will go on to develop a mental illness, what that illness will be, and what can be done to change its course and prevent its worsening to a serious mental illness (SMI). There are also gaps in our understanding of how known risk factors set off neurobiological changes that may play a role in determining who will develop a SMI. Project goals are (i) to identify youth at different stages of risk of SMI so that intervention can begin as soon as possible and (ii) to understand the triggers of these mental illnesses.
This 2-site longitudinal study will recruit 240 youth, ages 12-25, who are at different stages of risk for developing a SMI. The sample includes (a) healthy individuals, (b) symptom-free individuals who have a first-degree relative with a SMI, (c) youth who are experiencing distress and may have mild symptoms of anxiety or depression, and (d) youth who are already demonstrating attenuated symptoms of SMI such as bipolar disorder or psychosis. We will assess, every 6 months for one year, a wide range of clinical and psychosocial factors to determine which factors can be used to predict key outcomes. We will also assess neuroimaging and peripheral markers. We will develop and validate a prediction algorithm that includes demographic, clinical and psychosocial predictors. We will also determine if adding biological markers to our algorithm improves prediction.
Outcomes from this study include an improved clinical staging model for SMI and prediction algorithms that can be used by health care providers as decision-support tools in their practices. Secondly, we may have a greater understanding of clinical, social and cognitive factors associated with the clinical stages of development of a SMI, as well as new insights from neuroimaging and later neurochemical biomarker studies regarding predisposition to SMI development and progression through the clinical stages of illness.
大多数精神障碍始于青春期;然而,我们对青年心理健康的理解仍存在空白。临床和政策方面的差距源于我们目前无法预测,在所有经历轻度行为障碍的年轻人中,谁将患上精神疾病,这种疾病将是什么,以及可以采取什么措施来改变其病程并防止其恶化成严重的精神疾病(SMI)。我们对已知风险因素如何引发可能在决定谁将患上 SMI 方面起作用的神经生物学变化也了解不足。
(i)确定处于 SMI 不同风险阶段的青年,以便尽快开始干预,(ii)了解这些精神疾病的诱因。
这项 2 个地点的纵向研究将招募 240 名年龄在 12 至 25 岁之间的青年,他们处于发展 SMI 的不同风险阶段。样本包括:(a)健康个体,(b)一级亲属患有 SMI 的无症状个体,(c)正在经历困扰且可能有轻度焦虑或抑郁症状的个体,(d)已经表现出 SMI 减弱症状(如双相情感障碍或精神病)的个体。我们将每 6 个月评估一次,为期一年,评估广泛的临床和心理社会因素,以确定哪些因素可用于预测关键结果。我们还将评估神经影像学和外周标志物。我们将开发和验证一种预测算法,其中包括人口统计学、临床和心理社会预测因素。我们还将确定在我们的算法中添加生物标志物是否可以提高预测效果。
这项研究的结果包括改进的 SMI 临床分期模型和预测算法,这些算法可以供医疗保健提供者在实践中用作决策支持工具。其次,我们可能会更好地了解与 SMI 发展的临床阶段相关的临床、社会和认知因素,以及神经影像学和后期神经化学生物标志物研究中关于 SMI 发展和通过疾病临床阶段进展的易感性的新见解。