TY - JOUR
T1 - Exploring Physiological Linkage in Same-Sex Male Couples
AU - Li, Xiaomin
AU - Kuelz, Ashley
AU - Boyd, Savannah
AU - August, Kristin
AU - Markey, Charlotte
AU - Butler, Emily
N1 - Publisher Copyright:
© Copyright © 2021 Li, Kuelz, Boyd, August, Markey and Butler.
PY - 2021/1/18
Y1 - 2021/1/18
N2 - 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., rties; 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.
AB - 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., rties; 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.
KW - conversational context
KW - physiological linkage
KW - relationship functioning
KW - rties package
KW - same-sex male couples
UR - https://www.scopus.com/pages/publications/85100519275
UR - https://www.scopus.com/pages/publications/85100519275#tab=citedBy
U2 - 10.3389/fpsyg.2020.619255
DO - 10.3389/fpsyg.2020.619255
M3 - Article
AN - SCOPUS:85100519275
SN - 1664-1078
VL - 11
JO - Frontiers in Psychology
JF - Frontiers in Psychology
M1 - 619255
ER -