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自闭症人群中共病心理健康诊断的患病率:一项系统评价和荟萃分析。

Prevalence of co-occurring mental health diagnoses in the autism population: a systematic review and meta-analysis.

作者信息

Lai Meng-Chuan, Kassee Caroline, Besney Richard, Bonato Sarah, Hull Laura, Mandy William, Szatmari Peter, Ameis Stephanie H

机构信息

The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada; Centre for Brain and Mental Health and Department of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK; Department of Psychiatry, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan.

The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.

出版信息

Lancet Psychiatry. 2019 Oct;6(10):819-829. doi: 10.1016/S2215-0366(19)30289-5. Epub 2019 Aug 22.

Abstract

BACKGROUND

Co-occurring mental health or psychiatric conditions are common in autism, impairing quality of life. Reported prevalences of co-occurring mental health or psychiatric conditions in people with autism range widely. Improved prevalence estimates and identification of moderators are needed to enhance recognition and care, and to guide future research.

METHODS

In this systematic review and meta-analysis, we searched MEDLINE, Embase, PsycINFO, Scopus, Web of Science, and grey literature for publications between Jan 1, 1993, and Feb 1, 2019, in English or French, that reported original research using an observational design on the prevalence of co-occurring mental health conditions in people with autism and reported confirmed clinical diagnoses of the co-occurring conditions and autism using DSM or ICD criteria. For co-occurring mental health conditions reported with at least 15 datapoints (studies), we assessed risk of bias and we determined pooled estimates of prevalence for different co-occurring conditions in autism using random-effects models, and descriptively compared these with prevalence estimates for the general population from the literature (post hoc). We investigated heterogeneity in prevalence estimates using random-effects meta-regression models. This systematic review is registered with PROSPERO, CRD42018103176.

FINDINGS

Of 9746 unique studies identified, 432 were selected for full-text review. 100 studies were eligible for inclusion in our qualitative synthesis, of which 96 were included in our meta-analyses. 11 categories of co-occurring conditions were investigated, of which eight conditions were included in the meta-analyses and three were descriptively synthesised (ie, trauma and stressor-related disorders, substance-related and addictive disorders, and gender dysphoria). From our meta-analyses, we found overall pooled prevalence estimates of 28% (95% CI 25-32) for attention-deficit hyperactivity disorder; 20% (17-23) for anxiety disorders; 13% (9-17) for sleep-wake disorders; 12% (10-15) for disruptive, impulse-control, and conduct disorders; 11% (9-13) for depressive disorders; 9% (7-10) for obsessive-compulsive disorder; 5% (3-6) for bipolar disorders; and 4% (3-5) for schizophrenia spectrum disorders. Estimates in clinical sample-based studies were higher than in population-based and registry-based studies, and these estimates were mostly higher than those in the general population (post hoc). Age, gender, intellectual functioning, and country of study were associated with heterogeneity in prevalence estimates, yet remaining heterogeneity not explained was still substantial (all I >95%).

INTERPRETATION

Co-occurring mental health conditions are more prevalent in the autism population than in the general population. Careful assessment of mental health is an essential component of care for all people on the autism spectrum and should be integrated into clinical practice.

FUNDING

Academic Scholars Awards, Department of Psychiatry, University of Toronto; O'Brien Scholars Program, Slaight Family Child and Youth Mental Health Innovation Fund, and The Catherine and Maxwell Meighen Foundation via the Centre for Addiction and Mental Health Foundation.

摘要

背景

心理健康或精神疾病共病在自闭症患者中很常见,会损害生活质量。自闭症患者中报告的心理健康或精神疾病共病患病率差异很大。需要改进患病率估计并确定调节因素,以加强识别和护理,并指导未来研究。

方法

在这项系统评价和荟萃分析中,我们检索了MEDLINE、Embase、PsycINFO、Scopus、Web of Science和灰色文献,查找1993年1月1日至2019年2月1日期间以英文或法文发表的、报告了使用观察性设计对自闭症患者心理健康共病患病率进行的原创研究、并报告了使用DSM或ICD标准确诊的共病和自闭症临床诊断的文献。对于报告了至少15个数据点(研究)的心理健康共病,我们评估了偏倚风险,并使用随机效应模型确定了自闭症中不同共病的合并患病率估计值,并将其与文献中一般人群的患病率估计值进行事后描述性比较。我们使用随机效应元回归模型研究患病率估计值的异质性。本系统评价已在PROSPERO注册,注册号为CRD42018103176。

结果

在识别出的9746项独特研究中,432项被选入全文评审。100项研究符合纳入我们定性综合分析的条件,其中96项纳入了我们的荟萃分析。共调查了11类共病情况,其中8种情况纳入了荟萃分析,3种进行了描述性综合分析(即创伤和应激源相关障碍、物质相关和成瘾性障碍以及性别焦虑症)。从我们的荟萃分析中,我们发现注意缺陷多动障碍的总体合并患病率估计值为28%(95%CI 25-32);焦虑症为20%(17-23);睡眠-觉醒障碍为13%(9-17);破坏性行为、冲动控制和品行障碍为12%(10-15);抑郁症为11%(9-13);强迫症为9%(7-10);双相情感障碍为5%(3-6);精神分裂症谱系障碍为4%(3-5)。基于临床样本的研究中的估计值高于基于人群和基于登记处的研究,并且这些估计值大多高于一般人群中的估计值(事后分析)。年龄、性别、智力功能和研究国家与患病率估计值的异质性相关,但未解释的剩余异质性仍然很大(所有I>95%)。

解读

心理健康共病在自闭症人群中比在一般人群中更普遍。对心理健康进行仔细评估是对所有自闭症谱系患者护理的重要组成部分,应纳入临床实践。

资助

多伦多大学精神病学系学术学者奖;奥布赖恩学者计划、斯莱特家庭儿童和青少年心理健康创新基金,以及通过成瘾与心理健康基金会中心获得的凯瑟琳和麦克斯韦·梅根基金会。

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