Li Xiaomin, Kuelz Ashley, Boyd Savannah, August Kristin, Markey Charlotte, Butler Emily
Department of Family Studies and Human Development, The University of Arizona, Tucson, AZ, United States.
Department of Psychology, The University of Arizona, Tucson, AZ, United States.
Front Psychol. 2021 Jan 18;11:619255. doi: 10.3389/fpsyg.2020.619255. eCollection 2020.
We explore physiological linkage (i.e., covariation of physiological channels between interacting partners; PL) among 34 same-sex male couples. Interbeat interval, an indicator of cardiovascular arousal, was collected across four conversational contexts in the lab: (1) a baseline period that did not involve conversation, (2) a conversation about body image, (3) a conversation about health goals, and (4) a recovery period that allowed for unstructured conversation. We used a newly developed R statistical package (i.e., ; Butler and Barnard, 2019) that simplifies the use of dynamic models for investigating interpersonal emotional processes. We identified two different PL patterns: (1) a simple one that was characterized by stable synchronization and low frequency of oscillation; and (2) a complex one that was characterized by drifting synchronization, high frequency of oscillation, and eventual damping. Guided by social baseline theory and the reactive flexibility perspective, we explored the interactions between couple relationship functioning (i.e., love, conflict, commitment, sexual satisfaction, and relationship length) and conversational context as predictors of the PL patterns. The results suggest that partners in well-functioning relationships and emotionally challenging situations may be especially likely to show complex PL patterns that may reflect (or support) coregulatory processes.
我们探究了34对同性男性伴侣之间的生理联系（即互动双方生理通道的协变；PL）。心跳间期作为心血管唤醒的一个指标，是在实验室的四种对话情境中收集的：（1）不涉及对话的基线期；（2）关于身体形象的对话；（3）关于健康目标的对话；（4）允许进行无结构对话的恢复期。我们使用了一个新开发的R统计软件包（即；巴特勒和巴纳德，2019），该软件包简化了用于研究人际情感过程的动态模型的使用。我们识别出了两种不同的PL模式：（1）一种简单模式，其特征是稳定同步和低频振荡；（2）一种复杂模式，其特征是漂移同步、高频振荡以及最终衰减。在社会基线理论和反应灵活性观点的指导下，我们探究了伴侣关系功能（即爱情、冲突、承诺、性满意度和关系时长）与对话情境之间的相互作用，将其作为PL模式的预测因素。结果表明，在关系良好且处于情感挑战情境中的伴侣可能尤其容易表现出复杂的PL模式，这些模式可能反映（或支持）共同调节过程。
