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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pain threshold reflects psychological traits in patients with chronic pain: a cross-sectional study
|
|---|---|
| Published in |
BioPsychoSocial Medicine, May 2017
|
| DOI | 10.1186/s13030-017-0098-4 |
| Pubmed ID | |
| Authors |
Fumie Kato, Tetsuya Abe, Kenji Kanbara, Ikumi Ban, Tadashi Kiba, Sadanobu Kawashima, Yukie Saka, Yasuyuki Mizuno, Mikihiko Fukunaga |
| Abstract |
Chronic pain enhances sensory sensitivity and induces the biased development of psychological traits such as depression and pain catastrophizing, leading to the formation of heterogeneous conditions. Fluctuations in the sensory-related thresholds of non-injured sites (with normal peripheral tissue) in patients with chronic pain are thought to be related to central sensitization. The objectives of this study were to analyze the association between pain tolerance thresholds (PTTs) in non-injured sites and the psychological traits of patients with chronic pain and to evaluate the usefulness of PTT measures in assessments of pathological conditions related to chronic pain. This study included 57 patients with chronic pain. The PTTs were measured in non-injured sites with quantitative sensory testing (QST) with electrical stimulation and then classified with cluster analysis. The Short-Form McGill Pain Questionnaire was used to subjectively assess pain in the injured sites. The Minnesota Multiphasic Personality Inventory (MMPI) was used to assess the patients' psychological traits. Based on the cluster analysis of PTTs, the patients were classified into a High-Sensitivity group and an Others group consisting of the remaining patients. The results of the MMPI profiles showed that the High-Sensitivity group included significantly more patients with the Neurotic Triad pattern and no patients with the Conversion V pattern. The scores of the hypochondriasis and hysteria scales were significantly lower in the High-Sensitivity group than in the Others group. This study indicated that patients with chronic pain can be classified according to PTTs in non-injured sites and suggests that patients with High-Sensitivity have characteristic psychological traits. Assessment of PTTs in non-injured sites would be useful for evaluating the psychological condition of patients with chronic pain. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 14% |
| United Kingdom | 3 | 14% |
| Switzerland | 2 | 10% |
| Canada | 1 | 5% |
| Ireland | 1 | 5% |
| Belgium | 1 | 5% |
| Germany | 1 | 5% |
| Unknown | 9 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 4 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 17% |
| Student > Master | 9 | 13% |
| Researcher | 5 | 7% |
| Other | 5 | 7% |
| Student > Doctoral Student | 5 | 7% |
| Other | 14 | 20% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 32% |
| Nursing and Health Professions | 7 | 10% |
| Neuroscience | 4 | 6% |
| Psychology | 4 | 6% |
| Sports and Recreations | 2 | 3% |
| Other | 11 | 15% |
| Unknown | 20 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 07 July 2022.
All research outputs
#1,840,507
of 25,269,846 outputs
Outputs from BioPsychoSocial Medicine
#41
of 322 outputs
Outputs of similar age
#34,281
of 316,377 outputs
Outputs of similar age from BioPsychoSocial Medicine
#2
of 6 outputs
Altmetric has tracked 25,269,846 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 87% of its peers.
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 316,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.