Sánchez Hernández Milagros Ocalin, Carrasco Miguel A, Holgado-Tello Francisco Pablo
Department of Psychology, National Autonomous University of Nicaragua, León, Nicaragua.
Department of Personality Psychology, Evaluation and Psychological Treatment, National University of Distance Education (UNED), Madrid, Spain.
Child Psychiatry Hum Dev. 2023 Jun;54(3):736-749. doi: 10.1007/s10578-021-01286-4. Epub 2021 Nov 19.
The combination of depression and anxiety is among the most prevalent comorbidities of disorders leading to substantial functional impairment in children and adolescents. The network perspective offers a new paradigm for understanding and measuring psychological constructs and their comorbidity. The present study aims to apply network analysis to explore the comorbidity between depression and anxiety symptoms. Specifically, the study examines bridge symptoms, comorbidity, and shortest pathway networks and estimates the impact of the symptoms in the network's connectivity and structure. The findings show that "feeling lonely" and "feeling unloved" are identified as the most central bridge symptoms. The shortest path network suggests that the role of a mixed anxiety-depressive symptomatology, and specific and non-specific symptoms of clinical criteria, such as "worries," "feels depressed," "fears school," and "talks about suicide" could serve as a warning for comorbidity.
抑郁和焦虑的合并出现是导致儿童和青少年出现严重功能损害的疾病中最常见的共病情况之一。网络视角为理解和测量心理结构及其共病提供了一种新的范式。本研究旨在应用网络分析来探索抑郁症状和焦虑症状之间的共病情况。具体而言，该研究考察了桥梁症状、共病情况以及最短路径网络，并估计这些症状对网络连通性和结构的影响。研究结果表明，“感到孤独”和“感到不被爱”被确定为最核心的桥梁症状。最短路径网络表明，混合性焦虑抑郁症状学以及临床标准中的特定和非特定症状，如“担忧”、“感到沮丧”、“害怕上学”和“谈论自杀”，可能是共病的一个警示信号。
