Giabbanelli Philippe J, Galgoczy Michael C, Nguyen Duc M, Foy Romain, Rice Ketra L, Nataraj Nisha, Brown Margaret M, Harper Christopher R
Department of Computer Science & Software Engineering, Miami University, Oxford, OH, United States.
IMT Mines Alés, Institut Mines-Telecom, Alés, France.
Proc IEEE ACM Int Conf Adv Soc Netw Anal Min. 2021 Nov 8;12(1):339-342. doi: 10.1145/3487351.3488271. Epub 2022 Jan 20.
Suicide rates are steadily increasing among youth in the USA. Although several theories and frameworks of suicide have been developed, they do not account for some of the features that define suicide as a complex problem, such as a large number of interrelationships and cycles. In this paper, we create the first c omprehensive m ap o f a dverse c hildhood experiences (ACEs) and suicide for youth, by combining a participatory approach (involving 15 subject-matter experts) and network science. This results in a map of 946 edges and 361 concepts, in which we identify ACEs to be the most important factor (per degree centrality). The map is openly shared with the community to support further network analyses (e.g., decomposition into clusters). Similarly to the high-impact Foresight Map developed in the context of obesity, the largest map on suicide and ACEs to date presented in this paper can start a discussion at the crossroad of suicide research and network science, thus bringing new means to address a complex public health challenge.
美国青少年的自杀率正在稳步上升。尽管已经提出了几种自杀理论和框架，但它们并未涵盖将自杀定义为复杂问题的一些特征，例如大量的相互关系和循环。在本文中，我们通过结合参与式方法（涉及15位主题专家）和网络科学，创建了第一份针对青少年的不良童年经历（ACEs）与自杀的综合图谱。这产生了一个包含946条边和361个概念的图谱，我们在其中确定ACEs是最重要的因素（按度中心性）。该图谱已向社区公开分享，以支持进一步的网络分析（例如分解为集群）。与在肥胖背景下开发的具有高影响力的前瞻性图谱类似，本文展示的迄今为止关于自杀与ACEs的最大图谱能够在自杀研究与网络科学的交叉点引发讨论，从而为应对复杂的公共卫生挑战带来新方法。
