Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L8, Canada.
J Exp Child Psychol. 2021 Sep;209:105177. doi: 10.1016/j.jecp.2021.105177. Epub 2021 Jun 2.
Although excessive avoidance has been implicated in mental health problems and socioemotional difficulties, relatively little is known about dynamic changes of avoidance behaviors. We used a latent class growth analysis to examine the temporal course of avoidance behaviors in real time and determined whether the derived classes were distinguishable on temperament and physiological markers of regulation and reactivity (N = 153; M = 4.20 years). A three-class solution was found and identified a low, medium, and high increasing avoidance group. The high and increasing avoidance group had the highest physiological reactivity (cortisol reactivity) and shyness, and the lowest physiological regulation (i.e., respiratory sinus arrythmia suppression). High and increasing avoidance may therefore be associated with temperamental and physiological indices of risk implicated in maladjustment and highlight the value of data-driven, group-based approaches for examining dynamic patterns of behavior.
虽然过度回避与心理健康问题和社会情感困难有关，但人们对回避行为的动态变化知之甚少。我们使用潜在类别增长分析实时研究回避行为的时间进程，并确定所得到的类别是否可以通过调节和反应性的气质和生理标记来区分（N=153；M=4.20 年）。发现了一个三类别解决方案，并确定了一个低、中、高逐渐增加的回避群体。高和逐渐增加的回避群体具有最高的生理反应性（皮质醇反应性）和害羞，以及最低的生理调节（即呼吸窦性心律失常抑制）。因此，高和逐渐增加的回避可能与失调中涉及的气质和生理风险指标有关，并强调了基于数据的、基于群体的方法来检查行为的动态模式的价值。
