Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder?
Does centrality in a cross-sectional network suggest intervention targets for social anxiety disorder?
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DOI：
10.1037/ccp0000336
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发表时间：
2018-10
影响因子：
5.9
通讯作者：
Heimberg RG
中科院分区：
文献类型：
--
作者：
Rodebaugh TL;Tonge NA;Piccirillo ML;Fried E;Horenstein A;Morrison AS;Goldin P;Gross JJ;Lim MH;Fernandez KC;Blanco C;Schneier FR;Bogdan R;Thompson RJ;Heimberg RG
网络分析使我们能够识别最相互关联的（即，中枢）症状，多位作者认为这些症状可能是重要的治疗靶点。这是因为中心症状的变化（相对于其他症状）对所有其他症状的变化有更大的影响。有人认为，来自横截面数据的网络可能有助于识别这些重要的症状。我们在社交焦虑障碍中验证了这一假设。首先，我们基于社交焦虑障碍（N = 910）参与者估计了最先进的正则化偏相关网络，以确定哪些症状更重要。接下来，我们测试了这些中心症状的变化是否确实与接受各种治疗的社交焦虑障碍参与者（N = 244）的单独数据集中的整体症状变化更相关。我们还测试了相对表面的项目属性（项目的认可和变化的频率低）是否可能解释中枢症状的任何影响。中心性指数成功地预测了项目的变化与其余项目的变化之间的相关性。调查结果仅限于网络中使用的措施，并没有推广到其他三个措施有关的社交焦虑的严重程度。相比之下，认可的频率低表明所有措施都有关联。将最近发表的结果从横断面网络分析转移到治疗数据不太可能是直接的。
Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder. We first estimated a state-of-the-art regularized partial correlation network based on participants with social anxiety disorder (N = 910) to determine which symptoms were more central. Next, we tested whether change in these central symptoms were indeed more related to overall symptom change in a separate dataset of participants with social anxiety disorder who underwent a variety of treatments (N = 244). We also tested whether relatively superficial item properties (infrequency of endorsement and variance of items) might account for any effects shown for central symptoms. Centrality indices successfully predicted how strongly changes in items correlated with change in the remainder of the items. Findings were limited to the measure used in the network and did not generalize to three other measures related to social anxiety severity. In contrast, infrequency of endorsement showed associations across all measures. The transfer of recently published results from cross-sectional network analyses to treatment data is unlikely to be straightforward.
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影响因子：
3.7
作者：
Bringmann LF;Vissers N;Wichers M;Geschwind N;Kuppens P;Peeters F;Borsboom D;Tuerlinckx F
通讯作者：
Tuerlinckx F
影响因子：
5.9
作者：
Goldin PR;Morrison A;Jazaieri H;Brozovich F;Heimberg R;Gross JJ
通讯作者：
Gross JJ
影响因子：
4.4
作者：
Fried EI;van Borkulo CD;Cramer AO;Boschloo L;Schoevers RA;Borsboom D
通讯作者：
Borsboom D
影响因子：
3
作者：
Epskamp, Sacha;Rhemtulla, Mijke;Borsboom, Denny
通讯作者：
Borsboom, Denny
影响因子：
6.9
作者：
Fresco, DM;Coles, ME;Goetz, D
通讯作者：
Goetz, D