Evidence map›Paper›PMID 33154729›Full record

ArticleFrontiers in psychology2020

Attenuating Pain With the Past: Nostalgia Reduces Physical Pain.

Mike Kersten, Julie A Swets, Cathy R Cox, Takashi Kusumi, Kazushi Nishihata, Tomoya Watanabe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Thalamocortical Mechanisms for Nostalgia-Induced Analgesia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    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

6 authors at 3 institutions in 2 countries.

Mike KerstenDepartment of Psychology, University of Idaho, Moscow, ID, United States.
Julie A SwetsDepartment of Psychology, Texas Christian University, Fort Worth, TX, United States.
Cathy R CoxDepartment of Psychology, Texas Christian University, Fort Worth, TX, United States.
Takashi KusumiGraduate School of Education, Kyoto University, Kyoto, Japan.
Kazushi NishihataGraduate School of Education, Kyoto University, Kyoto, Japan.
Tomoya WatanabeGraduate School of Education, Kyoto University, Kyoto, Japan.
Kyoto University of Education · JPTexas Christian University · USUniversity of Idaho · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous work has found that nostalgia, a sentimental longing for the past, is associated with psychological, emotional, and social benefits. Recent research has demonstrated that nostalgic reflection also can improve individuals' physical health (i.e., exercise) and reduce temperature-related pain. Building on this, two experiments examined how nostalgia can reduce people's pain perceptions (i.e., reduced severity and increased tolerance). Specifically, Study 1 showed that inducing nostalgia through a writing task decreased perceived pain severity (i.e., intensity) among self-reported chronic pain sufferers. Study 2, in turn, demonstrated that Japanese individuals experienced increased pain tolerance (i.e., the maximum level of pain a person can tolerate) for a pressure algometer task following thoughts of nostalgia (vs. a control prime). This work provides evidence that nostalgic reflection may serve as a psychological resource to reduce the perceived severity of physical pain.

Indexed as

emotionhealthnostalgiapain tolerancephysical pain

Identifiers

PMID33154729
PMCPMC7589743
OpenAlexW3093280916

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.