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Generating physical symptoms from visual cues: An experimental study

Overview of attention for article published in Psychology, Health & Medicine, February 2010
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Article details
Title
Generating physical symptoms from visual cues: An experimental study
Published in
Psychology, Health & Medicine, February 2010
DOI 10.1080/13548500903311547
Pubmed ID
Authors

Jane Ogden, Serafim Zoukas

Abstract

This experimental study explored whether the physical symptoms of cold, pain and itchiness could be generated by visual cues, whether they varied in the ease with which they could be generated and whether they were related to negative affect. Participants were randomly allocated by group to watch one of three videos relating to cold (e.g. ice, snow, wind), pain (e.g. sporting injuries, tattoos) or itchiness (e.g. head lice, scratching). They then rated their self-reported symptoms of cold, pain and itchiness as well as their negative affect (depression and anxiety). The researcher recorded their observed behaviour relating to these symptoms. The results showed that the interventions were successful and that all three symptoms could be generated by the visual cues in terms of both self-report and observed behaviour. In addition, the pain video generated higher levels of anxiety and depression than the other two videos. Further, the degree of itchiness was related to the degree of anxiety. This symptom onset process also showed variability between symptoms with self-reported cold symptoms being greater than either pain or itchy symptoms. The results show that physical symptoms can be generated by visual cues indicating that psychological factors are not only involved in symptom perception but also in symptom onset.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Bangladesh 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Bachelor 10 16%
Student > Master 7 11%
Researcher 6 10%
Student > Postgraduate 4 6%
Other 9 14%
Unknown 15 24%
Readers by discipline
Readers by discipline Count As %
Psychology 16 25%
Medicine and Dentistry 10 16%
Neuroscience 4 6%
Nursing and Health Professions 3 5%
Social Sciences 3 5%
Other 8 13%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2015.
All research outputs
#27,763,431
of 34,410,315 outputs
Outputs from Psychology, Health & Medicine
#844
of 1,111 outputs
Outputs of similar age
#218,315
of 236,190 outputs
Outputs of similar age from Psychology, Health & Medicine
#8
of 9 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,111 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 236,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.