Choi Myoungje, Lee Dong-Woo, Cho Maeng Je, Park Jee Eun, Gim Minsook
Department of Psychiatry, Sanggye Paik Hospital, Dongil-ro 1342, Nowon-gu, Seoul, South Korea.
Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Korea.
Soc Psychiatry Psychiatr Epidemiol. 2015 Dec;50(12):1905-14. doi: 10.1007/s00127-015-1106-2. Epub 2015 Aug 19.
Network medicine considers networks among genes, diseases, and individuals. Networks of mental disorders remain poorly understood, despite their high comorbidity. In this study, a network of mental disorders in Korea was constructed to offer a complementary approach to treatment.
Data on the prevalence and morbidity of mental disorders were obtained from the 2006 and 2011 Korean Epidemiologic Catchment Area Study, including 22 psychiatric disorders. Nodes in the network were disease phenotypes identified by Diagnostic and Statistical Manual of Mental Disorders-IV, and the links connected phenotypes showing significant comorbidity. Odds ratios were used to quantify the distance between disease pairs. Network centrality was analyzed with and without weighting of the links between disorders. Degree centrality was correlated with suicidal behaviors and use of mental health services.
In 2011 and 2006, degree centrality was highest for major depressive disorder, followed by nicotine dependence and generalized anxiety disorder (2011) or alcohol dependence (2006). Weighted degree centrality was highest in conversion disorder in both years.
Therefore, major depressive disorder and nicotine dependence are highly connected to other mental disorders in Korea, indicating their comorbidity and possibility of shared biological mechanisms. The use of networks could enhance the understanding of mental disorders to provide effective mental health services.
网络医学研究基因、疾病和个体之间的网络关系。尽管精神障碍的共病率很高,但其网络关系仍未得到充分理解。本研究构建了韩国精神障碍网络,以提供一种补充性的治疗方法。
从2006年和2011年韩国流行病学集水区研究中获取精神障碍患病率和发病率的数据,包括22种精神疾病。网络中的节点是由《精神障碍诊断与统计手册》第四版确定的疾病表型,链接连接显示出显著共病的表型。比值比用于量化疾病对之间的距离。在对疾病之间的链接进行加权和未加权的情况下分析网络中心性。度中心性与自杀行为和心理健康服务的使用相关。
在2011年和2006年,重度抑郁症的度中心性最高,其次是尼古丁依赖和广泛性焦虑症(2011年)或酒精依赖(2006年)。两年中,转换障碍的加权度中心性均最高。
因此,在韩国,重度抑郁症和尼古丁依赖与其他精神障碍高度相关,表明它们的共病性以及共享生物学机制的可能性。使用网络可以增强对精神障碍的理解,以提供有效的心理健康服务。