The use of latent class analysis for identifying subtypes of depression: A systematic review.
The use of latent class analysis for identifying subtypes of depression: A systematic review.
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DOI：
10.1016/j.psychres.2018.03.003
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发表时间：
2018-08
影响因子：
11.3
通讯作者：
Lapane KL
中科院分区：
文献类型：
--
作者：
Ulbricht CM;Chrysanthopoulou SA;Levin L;Lapane KL
抑郁症是一个重大的公共卫生问题，但症状缓解很难预测。这可能是由于这种疾病的异质性。潜在分类分析（LCA）常用于阐明临床相关的抑郁症亚型，但是否出现一致的亚型尚不清楚。在此背景下，我们试图通过进行系统回顾，以确定详细使用LCA来探索支持抑郁症状的成人样本中抑郁症亚型的文章，以批判性地检查LCA的实施和报告。检索PubMed， PsycINFO， CINAHL， Scopus和谷歌Scholar，以确定2016年1月之前被索引的符合条件的文章。24篇报道28种LCA模型的文章符合纳入条件。样品特征差异很大。大多数文章使用抑郁症状作为潜在抑郁亚型的观察指标。关于模型拟合和选择的细节往往缺乏。在所有研究中没有确定一致的抑郁症亚型集。模型构建方式的差异可能部分解释了相互矛盾的结果。使用、解释和报告LCA模型的标准可以提高我们对LCA结果的理解。结合症状以外的抑郁维度，如功能，可能有助于确定抑郁症的亚型。
Depression is a significant public health problem but symptom remission is difficult to predict. This may be due to substantial heterogeneity underlying the disorder. Latent class analysis (LCA) is often used to elucidate clinically relevant depression subtypes but whether or not consistent subtypes emerge is unclear. We sought to critically examine the implementation and reporting of LCA in this context by performing a systematic review to identify articles detailing the use of LCA to explore subtypes of depression among samples of adults endorsing depression symptoms. PubMed, PsycINFO, CINAHL, Scopus, and Google Scholar were searched to identify eligible articles indexed prior to January 2016. Twenty-four articles reporting 28 LCA models were eligible for inclusion. Sample characteristics varied widely. The majority of articles used depression symptoms as the observed indicators of the latent depression subtypes. Details regarding model fit and selection were often lacking. No consistent set of depression subtypes was identified across studies. Differences in how models were constructed might partially explain the conflicting results. Standards for using, interpreting, and reporting LCA models could improve our understanding of the LCA results. Incorporating dimensions of depression other than symptoms, such as functioning, may be helpful in determining depression subtypes.
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影响因子：
6.9
作者：
Li, Y.;Aggen, S.;Shi, S.;Gao, J.;Li, Y.;Tao, M.;Zhang, K.;Wang, X.;Gao, C.;Yang, L.;Liu, Y.;Li, K.;Shi, J.;Wang, G.;Liu, L.;Zhang, J.;Du, B.;Jiang, G.;Shen, J.;Zhang, Z.;Liang, W.;Sun, J.;Hu, J.;Liu, T.;Wang, X.;Miao, G.;Meng, H.;Li, Y.;Hu, C.;Li, Y.;Huang, G.;Li, G.;Ha, B.;Deng, H.;Mei, Q.;Zhong, H.;Gao, S.;Sang, H.;Zhang, Y.;Fang, X.;Yu, F.;Yang, D.;Liu, T.;Chen, Y.;Hong, X.;Wu, W.;Chen, G.;Cai, M.;Song, Y.;Pan, J.;Dong, J.;Pan, R.;Zhang, W.;Shen, Z.;Liu, Z.;Gu, D.;Wang, X.;Liu, X.;Zhang, Q.;Flint, J.;Kendler, K. S.
通讯作者：
Kendler, K. S.
影响因子：
11
作者：
Milaneschi Y;Lamers F;Peyrot WJ;Abdellaoui A;Willemsen G;Hottenga JJ;Jansen R;Mbarek H;Dehghan A;Lu C;CHARGE inflammation working group;Boomsma DI;Penninx BW
通讯作者：
Penninx BW
影响因子：
10.6
作者：
Milaneschi, Yuri;Lamers, Femke;Penninx, Brenda W. J. H.
通讯作者：
Penninx, Brenda W. J. H.
影响因子：
4
作者：
de Vos, Stijn;Wardenaar, Klaas J.;de Jonge, Peter
通讯作者：
de Jonge, Peter
影响因子：
6.6
作者：
Alexandrino-Silva, Clovis;Wang, Yuan-Pang;Andrade, Laura Helena
通讯作者：
Andrade, Laura Helena