Evidence map›Paper›PMID 40139979›Full record

ArticlePsychophysiology2025

Interpersonal Conversations Are Characterized by Increases in Respiratory Sinus Arrhythmia.

Nathan C Stuart, Brett J Peters, Peggy M Zoccola, Ashley Tudder, Jeremy P Jamieson

Abstract read
In one paragraph

Article in Psychophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nathan C StuartOhio University, Athens, Ohio, USA.ORCID 0009-0005-1390-0184
Brett J PetersOhio University, Athens, Ohio, USA.ORCID 0000-0002-6483-7198
Peggy M ZoccolaOhio University, Athens, Ohio, USA.ORCID 0000-0001-5709-0092
Ashley TudderFlorida State University, Tallahassee, Florida, USA.ORCID 0000-0002-9048-6678
Jeremy P JamiesonUniversity of Rochester, Rochester, New York, USA.ORCID 0000-0002-3790-8747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple theoretical perspectives connect vagally mediated heart rate variability, or respiratory sinus arrhythmia (RSA), and self-regulatory and interpersonal processes. Together they suggest that self-regulatory effort and positive social experiences may lead to short-term increases in RSA, which in turn are related to adaptive emotional, social, and physical functioning. However, the extant literature on adult social interactions does not clearly support this premise. To study the connections between dyadic social interactions and phasic changes in RSA, the current research examined 356 dyads (712 adults between 18 and 36 years; 50% males, 50% females) across three studies in which participants engaged in face-to-face social interactions in a laboratory setting. Relationship type and conversation context varied across studies, and high-frequency power was used to estimate RSA across resting baseline, anticipatory periods, and conversation tasks. Analyses indicated that anticipation of and engagement in dyadic social interactions were associated with an increase in RSA from a resting baseline. The mean estimated effect size for anticipation was r = 0.50, and the mean estimated effect size for conversation was r = 0.34. Associations were robust across relationship types, including strangers and romantic couples, conversation context, including topic and valence, and across speaking and listening roles. The present research provides consistent evidence for increased RSA in anticipation of and during in-person social interactions among adults, prompting the need for further investigation into potential underlying mechanisms.

Indexed as

Anticipation, PsychologicalInterpersonal RelationsRespiratory Sinus ArrhythmiaSocial InteractionAdolescentAdultFemaleHeart RateHumansMaleYoung Adult

Identifiers

PMID40139979
PMCPMC11946932

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.