Network structure of depression symptomology in participants with and without depressive disorder: the population-based Health 2000-2011 study.
Network structure of depression symptomology in participants with and without depressive disorder: the population-based Health 2000-2011 study.
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DOI：
10.1007/s00127-020-01843-7
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发表时间：
2020-10
影响因子：
4.4
通讯作者：
Elovainio M
中科院分区：
文献类型：
--
作者：
Hakulinen C;Fried EI;Pulkki-Råback L;Virtanen M;Suvisaari J;Elovainio M
网络结构形式的抑郁症状之间的假定因果关系最近引起了人们的兴趣，先前的研究表明症状网络的高度连通性可能会驱动疾病过程。我们在两个时间点详细研究了有和没有抑郁症（DD;包括重度抑郁症（MDD）和心境恶劣）的参与者之间的抑郁症状的网络结构。参与者来自具有全国代表性的2000年健康调查和2011年健康调查。在2000年和2011年，有5998名健康参与者（DD-）和595名DD诊断参与者（DD+）。使用贝克抑郁量表（BDI）的13项版本测量抑郁症状。融合图形套索用于估计网络结构，混合图形模型用于评估网络连接性和症状中心性。网络社区结构进行了检查，使用步行陷阱算法和最小生成树（MST）。用预期影响系数和参与系数评价症状中心性。整体连接没有不同的网络与参与者和没有DD，但更简单的社区结构中观察到DD相比，那些没有DD。探索性分析显示，样本之间的差异很小，以一个中心性估计参与系数的顺序。社区结构，但不是症状网络的整体连通性，可能是不同的人与DD相比，没有DD。在估计有和没有精神障碍的群体之间的整体连通性差异时，这种差异可能很重要。本文的在线版本（10.1007/s 00127 -020-01843-7）包含补充材料，可供授权用户使用。
Putative causal relations among depressive symptoms in forms of network structures have been of recent interest, with prior studies suggesting that high connectivity of the symptom network may drive the disease process. We examined in detail the network structure of depressive symptoms among participants with and without depressive disorders (DD; consisting of major depressive disorder (MDD) and dysthymia) at two time points. Participants were from the nationally representative Health 2000 and Health 2011 surveys. In 2000 and 2011, there were 5998 healthy participants (DD−) and 595 participants with DD diagnosis (DD+). Depressive symptoms were measured using the 13-item version of the Beck Depression Inventory (BDI). Fused Graphical Lasso was used to estimate network structures, and mixed graphical models were used to assess network connectivity and symptom centrality. Network community structure was examined using the walktrap-algorithm and minimum spanning trees (MST). Symptom centrality was evaluated with expected influence and participation coefficients. Overall connectivity did not differ between networks from participants with and without DD, but more simple community structure was observed among those with DD compared to those without DD. Exploratory analyses revealed small differences between the samples in the order of one centrality estimate participation coefficient. Community structure, but not overall connectivity of the symptom network, may be different for people with DD compared to people without DD. This difference may be of importance when estimating the overall connectivity differences between groups with and without mental disorders. The online version of this article (10.1007/s00127-020-01843-7) contains supplementary material, which is available to authorized users.
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