a Center for Mental Health, University of Pennsylvania , Philadelphia , PA, USA.
c Psychology Department, School of Arts and Sciences , University of Pennsylvania , Philadelphia , PA, USA.
Stress. 2019 May;22(3):303-311. doi: 10.1080/10253890.2019.1572744. Epub 2019 Mar 1.
Identifying triggers for challenging behavior is difficult in some children with autism because of their limited communication abilities. Physiological indicators of stress may provide important insights. This study examined whether heart rate (HR) predicts challenging behavior in children with autism. While wearing an electrocardiograph monitor, 41 children with autism aged 2- to 4-years participated in tasks designed to induce low-level stress (e.g. waiting for a snack). Coders identified 106 time periods during which challenging behaviors occurred and also coded 106 randomly selected time samples that did not include challenging behaviors. Thirteen (32%) participants exhibited challenging behaviors and were included in the study. Baseline-corrected HR was computed for each behavior/time sample. On average, children with autism showed a 22 ± 16% HR increase from baseline 58 ± 22 seconds before the onset of a challenging behavior episode. Peak HR change had moderate predictive utility (area under the curve = .72, p < .001). The increase in HR before challenging behaviors was similar for children of different characteristics (age, autism severity, expressive language ability, overall developmental ability). Results highlight the promise of using physiological stress to predict challenging behavior in preschoolers with autism; although, they need to be replicated in larger samples. Given recent advances in wearable biosensing, it may be useful to incorporate HR monitoring in autism intervention. Lay summary In children with autism, changes in heart rate (HR) may help us predict when challenging behavior is about to occur - but this hypothesis has not been well studied. In this study, HR increase moderately predicted challenging behavior in preschoolers with autism. Given recent advances in wearable sensors, it may be useful to incorporate HR monitoring in autism intervention.
识别自闭症儿童的挑战性行为的触发因素具有一定难度,因为他们的沟通能力有限。压力的生理指标可能提供重要的见解。本研究检验了心率(HR)是否可以预测自闭症儿童的挑战性行为。41 名 2 至 4 岁的自闭症儿童佩戴心电图监测器,参与了旨在引起低水平压力的任务(例如等待零食)。编码员确定了 106 个发生挑战性行为的时间段,以及 106 个未包括挑战性行为的随机选择时间段。有 13 名(32%)参与者表现出挑战性行为,并被纳入研究。为每个行为/时间样本计算了基线校正后的 HR。平均而言,自闭症儿童在挑战性行为发作前 58±22 秒开始时,HR 从基线增加了 22±16%。峰值 HR 变化具有中等的预测效用(曲线下面积 = .72,p < .001)。不同特征(年龄、自闭症严重程度、表达性语言能力、整体发育能力)的儿童在挑战行为之前的 HR 增加相似。结果强调了使用生理压力预测自闭症学龄前儿童挑战行为的前景;尽管如此,仍需要在更大的样本中进行复制。鉴于可穿戴生物传感器的最新进展,在自闭症干预中纳入 HR 监测可能会很有用。
非专业人士精简版
识别自闭症儿童的挑战性行为的触发因素具有一定难度,因为他们的沟通能力有限。压力的生理指标可能提供重要的见解。本研究检验了心率(HR)是否可以预测自闭症儿童的挑战性行为。
41 名 2 至 4 岁的自闭症儿童佩戴心电图监测器,参与了旨在引起低水平压力的任务(例如等待零食)。编码员确定了 106 个发生挑战性行为的时间段,以及 106 个未包括挑战性行为的随机选择时间段。有 13 名(32%)参与者表现出挑战性行为,并被纳入研究。为每个行为/时间样本计算了基线校正后的 HR。
平均而言,自闭症儿童在挑战性行为发作前 58±22 秒开始时,HR 从基线增加了 22±16%。峰值 HR 变化具有中等的预测效用(曲线下面积 = .72,p < .001)。不同特征(年龄、自闭症严重程度、表达性语言能力、整体发育能力)的儿童在挑战行为之前的 HR 增加相似。
结果强调了使用生理压力预测自闭症学龄前儿童挑战行为的前景;尽管如此,仍需要在更大的样本中进行复制。鉴于可穿戴生物传感器的最新进展,在自闭症干预中纳入 HR 监测可能会很有用。