Methodological recommendations for a heartbeat detection-based measure of interoceptive sensitivity.
Methodological recommendations for a heartbeat detection-based measure of interoceptive sensitivity.
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DOI：
10.1111/psyp.12503
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发表时间：
2015-11
期刊：
影响因子：
3.7
通讯作者：
Quigley KS
中科院分区：
文献类型：
--
作者：
Kleckner IR;Wormwood JB;Simmons WK;Barrett LF;Quigley KS
心跳检测任务通常用于测量心脏内感受性的敏感度：即检测来自心脏的感觉的能力。然而，很少有工作来指导决定使用的最佳试验数量，这应该平衡可靠性和功率与任务持续时间和参与者负担。在这里，174名参与者完成了一项广泛使用的心跳检测任务的100次试验，参与者试图检测所呈现的音调与他们的心跳是同步的还是异步的。首先，我们使用相关指标量化了参与者的准确度的测量信度，这些准确度来自于不同的任务试验次数；我们发现至少需要40-60次试验才能获得足够的可靠性。接下来，我们通过模拟试验数量如何影响检测心脏内感受性敏感性与参与者之间不同的其他变量之间相关性的能力来量化功率，包括从我们的样本中测量的变量（体重指数）以及不同效应大小的模拟变量。使用这些模拟，我们量化了样本大小、效应大小和心跳检测任务中试验次数之间的权衡，这样研究人员就可以在给定的其他两个变量的值下轻松确定这些变量中的任何一个。我们的结论是，使用少于40个试验通常是不够的，因为在估计效应大小时可靠性差，功率低，尽管试验的最佳数量可能因研究而异。
Heartbeat detection tasks are often used to measure cardiac interoceptive sensitivity: the ability to detect sensations from one’s heart. However, there is little work to guide decisions on the optimum number of trials to use, which should balance reliability and power against task duration and participant burden. Here, 174 participants completed 100 trials of a widely-used heartbeat detection task where participants attempt to detect whether presented tones occurred synchronously or asynchronously with their heartbeats. First, we quantified measurement reliability of the participant’s accuracy derived from differing numbers of trials of the task using a correlation metric; we found that at least 40–60 trials were required to yield sufficient reliability. Next, we quantified power by simulating how the number of trials influenced the ability to detect a correlation between cardiac interoceptive sensitivity and other variables that differ across participants, including a variable measured from our sample (body mass index) as well as simulated variables of varying effect sizes. Using these simulations, we quantified the trade-offs between sample size, effect size, and number of trials in the heartbeat detection task such that a researcher can easily determine any one of these variables at given values of the other two variables. We conclude that using fewer than forty trials is typically insufficient due to poor reliability and low power in estimating an effect size, although the optimal number of trials can differ by study.