↓ Skip to main content

Lower inhibitory control interacts with greater pain catastrophizing to predict greater pain intensity in women with migraine and overweight/obesity

Overview of attention for article published in The Journal of Headache and Pain, March 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
2 news outlets
twitter
3 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
157 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Lower inhibitory control interacts with greater pain catastrophizing to predict greater pain intensity in women with migraine and overweight/obesity
Published in
The Journal of Headache and Pain, March 2017
DOI 10.1186/s10194-017-0748-8
Pubmed ID
Authors

Rachel Galioto, Kevin C. O’Leary, J. Graham Thomas, Kathryn Demos, Richard B. Lipton, John Gunstad, Jelena M. Pavlović, Julie Roth, Lucille Rathier, Dale S. Bond

Abstract

Pain catastrophizing (PC) is associated with more severe and disabling migraine attacks. However, factors that moderate this relationship are unknown. Failure of inhibitory control (IC), or the ability to suppress automatic or inappropriate responses, may be one such factor given previous research showing a relationship between higher PC and lower IC in non-migraine samples, and research showing reduced IC in migraine. Therefore, we examined whether lower IC interacts with increased PC to predict greater migraine severity as measured by pain intensity, attack frequency, and duration. Women (n = 105) aged 18-50 years old (M = 38.0 ± 1.2) with overweight/obesity and migraine who were seeking behavioral treatment for weight loss and migraine reduction completed a 28-day smartphone-based headache diary assessing migraine headache severity. Participants then completed a modified computerized Stroop task as a measure of IC and self-report measures of PC (Pain Catastrophizing Scale [PCS]), anxiety, and depression. Linear regression was used to examine independent and joint associations of PC and IC with indices of migraine severity after controlling for age, body mass index (BMI) depression, and anxiety. Participants on average had BMI of 35.1 ± 6.5 kg/m(2)and reported 5.3 ± 2.6 migraine attacks (8.3 ± 4.4 migraine days) over 28 days that produced moderate pain intensity (5.9 ± 1.4 out of 10) with duration of 20.0 ± 14.2 h. After adjusting for covariates, higher PCS total (β = .241, SE = .14, p = .03) and magnification subscale (β = .311, SE = .51, p < .01) scores were significant independent correlates of longer attack duration. IC interacted with total PCS (β = 1.106, SE = .001, p = .03) rumination (β = 1.098, SE = .001, p = .04), and helplessness (β = 1.026, SE = .001, p = .04) subscale scores to predict headache pain intensity, such that the association between PC and pain intensity became more positive at lower levels of IC. Results showed that lower IC interacted with higher PC, both overall and specific subcomponents, to predict higher pain intensity during migraine attacks. Future studies are needed to determine whether interventions to improve IC could lead to less painful migraine attacks via improvements in PC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 156 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 18%
Student > Ph. D. Student 21 13%
Researcher 15 10%
Student > Bachelor 12 8%
Student > Doctoral Student 11 7%
Other 33 21%
Unknown 36 23%
Readers by discipline Count As %
Psychology 31 20%
Medicine and Dentistry 30 19%
Nursing and Health Professions 21 13%
Social Sciences 8 5%
Computer Science 4 3%
Other 15 10%
Unknown 48 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 24 January 2022.
All research outputs
#2,032,098
of 25,850,376 outputs
Outputs from The Journal of Headache and Pain
#256
of 1,566 outputs
Outputs of similar age
#37,492
of 324,422 outputs
Outputs of similar age from The Journal of Headache and Pain
#7
of 28 outputs
Altmetric has tracked 25,850,376 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 1,566 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done well, scoring higher than 83% 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 324,422 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 88% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.