Spread the Joy: How High and Low Bias for Happy Facial Emotions Translate into Different Daily Life Affect Dynamics
Spread the Joy: How High and Low Bias for Happy Facial Emotions Translate into Different Daily Life Affect Dynamics
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传播欢乐：快乐面部情绪的高低偏差如何转化为不同的日常生活影响动态
DOI：
10.1155/2018/2674523
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
A. Oldehinkel
中科院分区：
文献类型：
--
作者：
C. Vrijen;C. Hartman;E. Roekel;P. Jonge;A. Oldehinkel
有证据表明，人们在实验室任务中通常会表现出对快乐面部情绪的偏见，也就是说，他们识别其他人的快乐面部情绪比其他人的负面面部情绪更快。然而，并不是每个人都表现出这种偏见。例如，与健康对照组相比，易患抑郁症的个体表现出较低的快乐偏见。这项研究的主要目的是通过研究这些如何转化为人们的日常生活，以更好地了解快乐偏见的实验室措施。我们研究了在实验室任务中稳定的高和低快乐偏差是否与不同的日常生活影响动力学（即，从一个6小时的时间间隔到下一个的影响）。我们比较了年轻人（18-24岁）的日常生活影响动态与高偏见对快乐的面部情绪（N=25）的年轻人的影响动态与低偏见对快乐的情绪（N=25）。在30天内每天评估三次影响和相关措施。我们使用多水平向量自回归（VAR）模型来估计滞后1影响网络的高和低快乐偏见组，并使用排列测试来比较两组。与快乐倾向低的同龄人相比，快乐倾向高的人更能持续日常生活奖励体验的影响。具有高幸福偏见的人可能会在日常生活中更好地利用他们的奖励经验来建立促进幸福和心理健康的资源。日常生活中的低奖励反应可能是为什么在实验室任务中表现出低幸福偏见的人容易患抑郁症的关键。这项研究说明了一个网络的方法来解开心理机制的潜在好处。
There is evidence that people commonly show a bias toward happy facial emotions during laboratory tasks, that is, they identify other people’s happy facial emotions faster than other people’s negative facial emotions. However, not everybody shows this bias. Individuals with a vulnerability for depression, for example, show a low happy bias compared to healthy controls. The main aim of this study was to acquire a better understanding of laboratory measures of happy bias by studying how these translate to people’s daily life. We investigated whether stable high and low happy bias during a laboratory task were associated with different daily life affect dynamics (i.e., effects from one time interval of 6 hours to the next). We compared the daily life affect dynamics of young adults (age 18–24) with a high bias toward happy facial emotions (N=25) to the affect dynamics of young adults with a low bias toward happy emotions (N=25). Affect and related measures were assessed three times per day during 30 days. We used multilevel vector autoregressive (VAR) modelling to estimate lag 1 affect networks for the high and low happy bias groups and used permutation tests to compare the two groups. Compared to their peers with a low happy bias, individuals with a high happy bias more strongly sustained the effects of daily life reward experiences over time. Individuals with a high happy bias may use their reward experiences more optimally in daily life to build resources that promote well-being and mental health. Low reward responsiveness in daily life may be key to why individuals who show a low happy bias during laboratory tasks are vulnerable for depression. This study illustrates the potential benefits of a network approach for unraveling psychological mechanisms.
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影响因子：
4.6
作者：
NOLENHOEKSEMA, S
通讯作者：
NOLENHOEKSEMA, S
影响因子：
4.2
作者：
Cohn, Michael A.;Fredrickson, Barbara L.;Brown, Stephanie L.;Mikels, Joseph A.;Conway, Anne M.
通讯作者：
Conway, Anne M.
影响因子：
12.8
作者：
Kashdan, Todd B.;Rottenberg, Jonathan
通讯作者：
Rottenberg, Jonathan
影响因子：
2.6
作者：
B. Fredrickson;R. Levenson
通讯作者：
B. Fredrickson;R. Levenson
影响因子：
3.7
作者：
McLaughlin, Katie A.;Borkovec, Thomas D.;Sibrava, Nicholas J.
通讯作者：
Sibrava, Nicholas J.