Network Structure of Perinatal Depressive Symptoms in Latinas: Relationship to Stress and Reproductive Biomarkers.
Network Structure of Perinatal Depressive Symptoms in Latinas: Relationship to Stress and Reproductive Biomarkers.
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DOI：
10.1002/nur.21784
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发表时间：
2017-06
影响因子：
2
通讯作者：
Ruiz RJ
中科院分区：
文献类型：
--
作者：
Santos H Jr;Fried EI;Asafu-Adjei J;Ruiz RJ
根据新出现的证据，情绪障碍可以被合理地概念化为因果相互作用的症状网络，而不是症状作为被动指标的潜在变量。在护理研究的创新方法中，我们使用网络分析来估计20个围产期抑郁（PND）症状的网络结构。然后，提出了两个原理验证分析：将压力和生殖生物标志物纳入网络，并比较非抑郁和抑郁女性PND症状的网络结构。我们分析了515名怀孕中期的拉丁裔妇女的横截面样本数据，并使用正则化偏相关网络模型估计网络。主要分析在网络中产生了五种强烈的症状对症状的关联（例如，哭泣-悲伤）和五种具有潜在临床重要性的症状（即高中心性）。在探索PND症状与压力和生殖生物标志物的关系（原理证明分析1）时，发现了一些微弱的关系。在对非抑郁女性和抑郁女性网络的比较中（原理证明分析2），抑郁参与者总体上有一个更紧密的症状和标志网络，但网络在关系类型（网络结构）上没有差异。我们希望这篇首次将PND症状作为相互作用症状网络的报告将鼓励未来PND研究领域的网络研究，包括症状-生物标志物机制和与PND相关的相互作用的研究。讨论了未来的发展方向和挑战。
Based on emerging evidence, mood disorders can be plausibly conceptualized as networks of causally interacting symptoms, rather than as latent variables of which symptoms are passive indicators. In an innovative approach in nursing research, we used network analysis to estimate the network structure of 20 perinatal depressive (PND) symptoms. Then, two proof-of-principle analyses are presented: Incorporating stress and reproductive biomarkers into the network, and comparing the network structure of PND symptoms between non-depressed and depressed women. We analyzed data from a cross-sectional sample of 515 Latina women at the second trimester of pregnancy and estimated networks using regularized partial correlation network models. The main analysis yielded five strong symptom-to-symptom associations (e.g., cry—sadness), and five symptoms of potential clinical importance (i.e., high centrality) in the network. In exploring the relationship of PND symptoms to stress and reproductive biomarkers (proof-of-principle analysis 1), a few weak relationships were found. In a comparison of non-depressed and depressed women’s networks (proof-of-principle analysis 2), depressed participants had a more connected network of symptoms and markers overall, but the networks did not differ in types of relationships (the network structures). We hope this first report of PND symptoms as a network of interacting symptoms will encourage future network studies in the realm of PND research, including investigations of symptom-to-biomarker mechanisms and interactions related to PND. Future directions and challenges are discussed.
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影响因子：
1
作者：
Brandes, U
通讯作者：
Brandes, U
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
DOI：
10.1146/annurev-clinpsy-050212-185608
发表时间：
2013-01-01
期刊：
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9
影响因子：
--
作者：
Borsboom, Denny;Cramer, Angelique O. J.
通讯作者：
Cramer, Angelique O. J.
DOI：
10.1016/j.bbi.2015.04.012
发表时间：
2015-10
期刊：
Brain, behavior, and immunity
影响因子：
--
作者：
Corwin EJ;Pajer K;Paul S;Lowe N;Weber M;McCarthy DO
通讯作者：
McCarthy DO
影响因子：
3.3
作者：
Costantini, Giulio;Epskamp, Sacha;Cramer, Angelique O. J.
通讯作者：
Cramer, Angelique O. J.