Evidence map›Paper›PMID 24146086›Full record

Trial reportAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2014

Computer-delivered social norm message increases pain tolerance.

Kim Pulvers, Jacquelyn Schroeder, Eleuterio F Limas, Shu-Hong Zhu

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Kim PulversDepartment of Psychology, California State University San Marcos, 333 S. Twin Oaks Valley Rd, San Marcos, CA, 92096, USA, kpulvers@csusm.edu.
Jacquelyn Schroeder
Eleuterio F Limas
Shu-Hong Zhu

Funding

MBRS RISE Program at California State Univ, San MarcosR25GM064783 · NIGMS · CALIFORNIA STATE UNIVERSITY SAN MARCOS · PI TRUJILLO, KEITH A · 2002 to 2019
$9.6M
Nonsmokers and Tobacco Control Norms: Population Surveys and Intervention StudiesU01CA154280 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHU, SHU-HONG · 2011 to 2015
$7.9M
California State University San Marcos MARC U*STAR ProgramT34GM008807 · NIGMS · CALIFORNIA STATE UNIVERSITY SAN MARCOS · PI TRUJILLO, KEITH A · 2001 to 2019
$4.8M
NCI NIH HHS U01 CA154280NCI NIH HHS U01CA154280NIGMS NIH HHS R25 GM064783NIGMS NIH HHS T34 GM-008807NIGMS NIH HHS T34 GM008807
6 · The paper itself

Abstract

backgroundFew experimental studies have been conducted on social determinants of pain tolerance. PURPOSE: This study tests a brief, computer-delivered social norm message for increasing pain tolerance.

methodsHealthy young adults (N = 260; 44 % Caucasian; 27 % Hispanic) were randomly assigned into a 2 (social norm) × 2 (challenge) cold pressor study, stratified by gender. They received standard instructions or standard instructions plus a message that contained artificially elevated information about typical performance of others.

resultsThose receiving a social norm message displayed significantly higher pain tolerance, F(1, 255) = 26.95, p < .001, η p (2)  = .10 and pain threshold F(1, 244) = 9.81, p = .002, η p (2)  = .04, but comparable pain intensity, p > .05. There were no interactions between condition and gender on any outcome variables, p > .05.

conclusionsSocial norms can significantly increase pain tolerance, even with a brief verbal message delivered by a video.

Indexed as

Social NormsAdolescentAdultFemaleHumansMalePainPain ManagementPain ThresholdTherapy, Computer-AssistedYoung Adult

Identifiers

PMID24146086
PMCPMC3995893

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.