无血性
心理信息
心理学
心情
重性抑郁障碍
中心性
临床心理学
人口
萧条(经济学)
情绪低落
精神科
荟萃分析
梅德林
医学
宏观经济学
精神分裂症(面向对象编程)
法学
经济
内科学
组合数学
环境卫生
数学
政治学
作者
Matteo Malgaroli,Adam Calderon,George A. Bonanno
标识
DOI:10.1016/j.cpr.2021.102000
摘要
There has been a marked increase of network studies of Major Depressive Disorder (MDD). Despite rapidly growing contributions, their findings have yet to be systematically aggregated and examined. We therefore conducted a systematic review of depression network studies using PRISMA guidelines. A total of 254 clinical and population studies were collected from ISI's Web of Science and PsycINFO, between January 2010 to May 2020. A total of 23 between-subject studies were included for review, resulting in 58 cross-sectional networks. To determine their most critical symptoms and their connections, we analyzed strength centrality rankings, and aggregated the most robust symptoms connections into a summary network. Results indicated substantial variability between study samples, depression measures, and network features. Fatigue and Depressed Mood were the most central symptoms, while Weight changes tended to have the weakest centrality. Depressed Mood and Fatigue formed two separated symptoms communities characterized by recurrent connections, with Mood-Anhedonia as the most frequent edge of MDD. Network analysis informed our understanding of MDD, suggesting the critical role of Fatigue and Depressed Mood. The study's findings are discussed in their clinical and methodological implications, including future directions for network studies of MDD.
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