Interpersonal autonomic nervous system synchrony and its association to relationship and performance - a systematic review and meta-analysis.

Autonomic nervous system Interpersonal synchrony Meta-analysis Performance Physiological synchrony Relationship

Journal

Physiology & behavior
ISSN: 1873-507X
Titre abrégé: Physiol Behav
Pays: United States
ID NLM: 0151504

Informations de publication

Date de publication:
01 06 2021
Historique:
received: 18 11 2020
revised: 09 03 2021
accepted: 17 03 2021
pubmed: 22 3 2021
medline: 29 6 2021
entrez: 21 3 2021
Statut: ppublish

Résumé

Interpersonal physiological synchrony is the spontaneous temporal coordination of physiological processes between several individuals. This type of synchrony is critical for human relationships, as it promotes two important outcomes: the quality of the relationships between synchronized individuals, and how well synchronized individuals perform together. Nonetheless a clear estimation of the size of the correlations between interpersonal physiological synchrony and relationship or performance outcomes is missing. To address this gap in knowledge was the main goal of the current meta-analysis. We focused on interpersonal physiological synchrony in measures of autonomic nervous system activity, and specifically we examined the distinct branches of the autonomic nervous system. We conducted two meta-analyses: (1) Estimating the association between interpersonal physiological synchrony and relationship outcomes (2) Estimating the association between interpersonal physiological synchrony and performance outcomes. In the first meta-analysis (i.e., relationships), the overall estimated correlation was small with a marginal significance (ES=0.09, p>.10) and high heterogeneity (I

Identifiants

pubmed: 33744259
pii: S0031-9384(21)00083-4
doi: 10.1016/j.physbeh.2021.113391
pii:
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

113391

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Oded Mayo (O)

Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel.

Michal Lavidor (M)

Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel; The Gonda Brain Research Center, Bar Ilan University, Ramat-Gan, Israel.

Ilanit Gordon (I)

Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel; The Gonda Brain Research Center, Bar Ilan University, Ramat-Gan, Israel. Electronic address: ilanit.gordon@biu.ac.il.

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Classifications MeSH