National Autonomous University of Nicaragua, León (UNAN-León).
Psicothema. 2023 Feb;35(1):66-76. doi: 10.7334/psicothema2022.17.
Experiencing psychological problems during childhood and adolescence is common. However, the detection of behaviors as symptoms of psychopathologies requiring clinical diagnosis and treatment remains low. In order to advance understanding of psychological phenomena and particularly their behavioral manifestations, new theoretical and methodological perspectives such as network analysis are applied.
In the present study, we explore the dynamics of the symptoms of different internalizing, externalizing, and personal-contextual problems using network analysis. We estimate networks of regularized partial correlations, including measures of standard centrality, and the global and structural impact of symptoms on each network.
The results show that the syndromes we studied are activated through dynamics of symptoms that are strongly related to each other and act as intermediaries of potential psychopathological problems in children and adolescents (e.g., "feels sad", "worries", "won't talk", "nausea", "threatens others", "steals outside"). Centrality measures and impact coefficient ranges were strength (—2.39, 2.05), betweenness (—1.43, 3.38), closeness (—2.60, 2.23), and expected influence (—2.87, 2.13).
The results suggest the need to explore attribute dynamics as well as symptomatic comorbidity between them.
儿童和青少年经历心理问题是很常见的。然而，检测到需要临床诊断和治疗的精神病理行为的症状仍然很低。为了深入了解心理现象，特别是它们的行为表现，人们应用了网络分析等新的理论和方法。
在本研究中，我们使用网络分析来探索不同内化、外化和个人-情境问题症状的动态。我们估计正则化偏相关网络，包括标准中心度的测量，以及症状对每个网络的全局和结构影响。
结果表明，我们研究的综合征是通过与彼此强烈相关的症状动态激活的，这些症状是儿童和青少年潜在精神病理问题的中介（例如，“感到悲伤”、“担忧”、“不愿说话”、“恶心”、“威胁他人”、“偷外面的东西”）。中心度测量和影响系数范围分别为强度（—2.39，2.05）、中介度（—1.43，3.38）、接近度（—2.60，2.23）和预期影响（—2.87，2.13）。
结果表明需要探索属性动态以及它们之间的症状共病。
