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; Mage = 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.

中文翻译：

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实时避免行为的轨迹：与学龄前儿童气质和生理失调的关联。

尽管过度回避与心理健康问题和社会情感困难有关，但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来实时检查回避行为的时间过程，并确定派生类别是否在气质和调节和反应性生理标记上可区分（N = 153；Mage = 4.20 年）。找到了三类解决方案，并确定了低、中和高增加回避组。高和增加回避组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（即呼吸性窦性心律不齐抑制）。