The influence of video-based social modelling on the nocebo effect.
Expectations
Health information
Nocebo effect
Placebo effect
Social learning
Journal
Journal of psychosomatic research
ISSN: 1879-1360
Titre abrégé: J Psychosom Res
Pays: England
ID NLM: 0376333
Informations de publication
Date de publication:
02 2023
02 2023
Historique:
received:
24
06
2022
revised:
22
12
2022
accepted:
22
12
2022
pubmed:
8
1
2023
medline:
1
2
2023
entrez:
7
1
2023
Statut:
ppublish
Résumé
Seeing someone else experience side effects (i.e., social modelling) can increase negative expectations and subsequent nocebo effects. In face-to-face contexts, this effect appears stronger in female participants. Less is known about the influence of gender on negative expectations and nocebo effects generated via video-based social modelling. One hundred and seven undergraduate participants recruited from a participant pool at an Australian university took part in a study ostensibly investigating the influence of beta-blocker medications (actually a sham treatment) on physiological and psychological aspects of anxiety. Participants were randomly assigned to either a no-treatment control group, a standard treatment group, or a video modelling group, in which participants viewed video-recorded confederates (one male, one female) report experiencing four side effects (two each) after taking the study treatment. Symptoms were assessed 15-min following pill ingestion, and at follow-up 24 h later. Video modelling of side effects, compared to standard treatment, interacted with gender and was associated with increased reporting of modelled symptoms in female compared to male participants, p = .01, η Social modelling of side effects via video increased negative expectations, and nocebo symptoms, to a greater extent in female participants. These findings suggest that males and females are differentially impacted by video-based side effect modelling. Results have implications for social modelling of side effects via social media and patient-support websites.
Identifiants
pubmed: 36610337
pii: S0022-3999(22)00421-4
doi: 10.1016/j.jpsychores.2022.111136
pii:
doi:
Types de publication
Randomized Controlled Trial
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
111136Informations de copyright
Copyright © 2022 Elsevier Inc. All rights reserved.