Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults?
Can network analysis of self-reported psychopathology shed light on the core phenomenology of bipolar disorders in adolescents and young adults?
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对自我报告的精神病理学的网络分析能否揭示青少年和年轻人双相情感障碍的核心现象学？
DOI：
10.1111/bdi.13067
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发表时间：
2021-09
影响因子：
5.4
通讯作者：
Hickie I
中科院分区：
文献类型：
--
作者：
Scott J;Crouse JJ;Ho N;Carpenter J;Martin N;Medland S;Parker R;Byrne E;Couvy-Duchesne B;Mitchell B;Merikangas K;Gillespie NA;Hickie I
网络分析越来越多地应用于精神病理学研究。我们用它来检查新出现的双相情感障碍（BD I和II）和“风险”表现（有BD家族史的重性抑郁症）的核心现象。研究样本包括1867名双胞胎和非双胞胎兄弟姐妹（57%为女性;平均年龄约26岁）的社区队列，他们完成了以下自我报告评级：（i）抑郁样、轻躁狂样和精神病样经历;（ii）BD家族史;（iii）使用复合国际诊断访谈（CIDI）评估情绪和精神病综合征。症状网络进行了比较，最近发作的BD与其他队列成员，然后为个人的BD风险（抑郁症有/无BD家族史）。区分近期发作BD与其他队列成员的四个关键症状是：运动障碍、精神速度、嗜睡和（较少）信心丧失。区分BD高危个体与单相抑郁的四个关键症状是：运动不能、精神速度、注意力受损和绝望。然而，后者的网络不太稳定，更容易出错。我们的研究结果与最近两篇报道BD精神病理学网络分析的出版物之间的重叠令我们感到鼓舞，特别是因为这些研究招募了不同的人群并采用了不同的网络模型。然而，应用网络分析的优点，青年心理健康队列（其中包括许多个人与多种发病率）必须权衡的缺点，包括基本问题，如判断选择项目列入网络模型。
Network analysis is increasingly applied to psychopathology research. We used it to examine the core phenomenology of emerging bipolar disorder (BD I and II) and ‘at risk’ presentations (major depression with a family history of BD). The study sample comprised a community cohort of 1867 twin and non-twin siblings (57% female; mean age ~26) who had completed self-report ratings of (i) depression-like, hypomanic-like and psychotic-like experiences; (ii) family history of BD; and (iii) were assessed for mood and psychotic syndromes using the Composite International Diagnostic Interview (CIDI). Symptom networks were compared for recent onset BD versus other cohort members and then for individuals at risk of BD (depression with/without a family history of BD). The four key symptoms that differentiated recent onset BD from other cohort members were: anergia, psychomotor speed, hypersomnia and (less) loss of confidence. The four key symptoms that differentiated individuals at high risk of BD from unipolar depression were: anergia, psychomotor speed, impaired concentration, and hopelessness. However, the latter network was less stable and more error prone. We are encouraged by the overlaps between our findings and those from two recent publications reporting network analyses of BD psychopathology, especially as the studies recruited from different populations and employed different network models. However, the advantages of applying network analysis to youth mental health cohorts (which include many individuals with multi-morbidity) must be weighed against the disadvantages including basic issues such as judgements regarding the selection of items for inclusion in network models.
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