Validity of the cold pressor test and pain sensitivity questionnaire via online self-administration

McIntyre, Matthew H.; Kless, Achim; Hein, Peter; Field, Mark; Tung, Joyce Y.

doi:10.1371/journal.pone.0231697

Cited by 18 publications

(18 citation statements)

References 36 publications

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“…We could check this by assessing whether studies employed protocols from previously published work, or how homogenous protocols were across studies. Two studies were excluded due to a lack of methodological standardization [76,133] 4. Desirable statistics-Most studies provided Pearson's correlations for our variables of interest, but a few provided Spearman's rank correlations.…”

Section: Missing Data-mentioning

confidence: 99%

Do “central sensitization” questionnaires reflect measures of nociceptive sensitization or psychological constructs? A systematic review and meta-analyses

Adams

Gandhi

Harrison

et al. 2022

Pain

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Section: Missing Data-mentioning

confidence: 99%

Do “central sensitization” questionnaires reflect measures of nociceptive sensitization or psychological constructs? A systematic review and meta-analyses

Adams

Gandhi

Harrison

et al. 2022

Pain

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“…2 The PSQ total score has shown a modest correlation with experimental thermal pain threshold, tolerance, and intensity. 2,8,35 The PSQ contains 17 items: fourteen items relate to situations that are usually considered to be painful for most persons covering a variety of different pain qualities, while three items (items 5, 9, 13) describe normally non-painful situations. Pain magnitude is rated on a 0-10 scale with one anchor at 0, representing 'no pain at all', and the other anchor at 10, representing the 'worst pain one can imagine'.…”

Section: Self-reportedmentioning

confidence: 99%

More Insight on the Role of Personality Traits and Sensitivity to Experimental Pain

Grouper¹,

Eisenberg²,

Pud³

2021

JPR

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Purpose The present study aimed to assess the influence of personality traits on the variability of sensitivity to pain in two distinct groups of healthy subjects with low versus high sensitivity to pain (LSP vs HSP, respectively). Methods Healthy subjects (n=156) were allocated to two groups according to their tolerability to cold stimulation (cold pressor test, CPT, 1°C). Group LSP (n=76) reached the cut-off time of 180±0 sec, and a size matched group of HSP (n=80) tolerated the CPT for an average of 10.5±3.4 sec only. Subjects from both groups completed the self-reported pain sensitivity questionnaire (PSQ), the Pain Catastrophizing Scale (PCS), and the Neuroticism Extraversion Openness - Five Factor Inventory (NEO-FFI). Results In comparison to the LSP group, HSP individuals had higher scores of PSQ ( p <0.001), catastrophizing ( p =0.001), and extraversion ( p =0.01). By adjusting for age and gender, mediation analyses revealed that catastrophizing mediated the relationship between neuroticism and pain sensitivity, both in the allocation of subjects to a certain group of sensitivity to pain (LSP or HSP, B=0.02 95% CI: 0.006–0.040) and in the PSQ score (B=0.01 95% CI: 0.001–0.023). Conclusion These results, which were demonstrated by two different prisms (CPT and PSQ), point to the potential of the five-factor inventory and pain catastrophizing scale as tools for identifying specific personality traits associated with a high sensitivity to pain.

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“…Such approaches could be leveraged to quantify acute pain in the presence of RRI data from a range of sources, from ECG data in clinical settings to data derived from PPG in consumer wearables. The use of the CPT allowed for controlled, replicable pain induction promotes a moderately painful but rapidly reversible stimulus, as widely reported via self-report ( 31 ) or behavioral change ( 32 ). Given the high prevalence of pain worldwide, which reaches up to 25% of the population in some countries ( 33 ), and the lack of objective methods to classify pain, this approach has the potential to identify and better mitigate individual pain.…”

Section: Discussionmentioning

confidence: 99%

“…The average duration of the CPT was similar to previous studies ( 48 ), but the percentage of participants that did not complete the CPT was approximately double previously reported percentages ( 49 ). Duration of CPT has been used previously as a proxy for pain tolerance ( 32 ). In our study, participants found the CPT highly painful, unpleasant, difficult to complete, and stressful ( 49 ).…”

Section: Discussionmentioning

confidence: 99%

Automatic detection of pain using machine learning

Winslow

Kwasinski²,

Whirlow³

et al. 2022

Front. Pain Res.

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Pain is one of the most common symptoms reported by individuals presenting to hospitals and clinics and is associated with significant disability and economic impacts; however, the ability to quantify and monitor pain is modest and typically accomplished through subjective self-report. Since pain is associated with stereotypical physiological alterations, there is potential for non-invasive, objective pain measurements through biosensors coupled with machine learning algorithms. In the current study, a physiological dataset associated with acute pain induction in healthy adults was leveraged to develop an algorithm capable of detecting pain in real-time and in natural field environments. Forty-one human subjects were exposed to acute pain through the cold pressor test while being monitored using electrocardiography. A series of respiratory and heart rate variability features in the time, frequency, and nonlinear domains were calculated and used to develop logistic regression classifiers of pain for two scenarios: (1) laboratory/clinical use with an F1 score of 81.9% and (2) field/ambulatory use with an F1 score of 79.4%. The resulting pain algorithms could be leveraged to quantify acute pain using data from a range of sources, such as ECG data in clinical settings or pulse plethysmography data in a growing number of consumer wearables. Given the high prevalence of pain worldwide and the lack of objective methods to quantify it, this approach has the potential to identify and better mitigate individual pain.

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Validity of the cold pressor test and pain sensitivity questionnaire via online self-administration

Abstract: ¶ Membership of the 23andMe Research Team is provided in the Acknowledgments.

Cited by 18 publications

References 36 publications

Do “central sensitization” questionnaires reflect measures of nociceptive sensitization or psychological constructs? A systematic review and meta-analyses

Do “central sensitization” questionnaires reflect measures of nociceptive sensitization or psychological constructs? A systematic review and meta-analyses

More Insight on the Role of Personality Traits and Sensitivity to Experimental Pain

Automatic detection of pain using machine learning

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