| Literature DB >> 31013292 |
Shuanghong Chen1, Todd Jackson1,2.
Abstract
BACKGROUND: Primary appraisals of pain as a potential threat influence pain perception and coping but comparatively less is known about related effects of challenge appraisals or causal effects of primary appraisals on secondary appraisals of perceived pain coping capacities (e.g., pain self-efficacy).Entities:
Mesh:
Year: 2019 PMID: 31013292 PMCID: PMC6478370 DOI: 10.1371/journal.pone.0215087
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Appraisal condition differences in subjective pain appraisals, reported pain coping and pain perception (N = 235).
| Appraisal conditions | Univariate | ||||
|---|---|---|---|---|---|
| Measures | Challenge (CH) | Higher threat (HT) | Lower threat (LT) | ||
| Pain tolerance | 117.89 (86.20) | 86.99 (72.42) | 95.54 (80.56) | 3.12 | CH > HT |
| Threat appraisal | 5.86 (3.14) | 7.55 (3.06) | 5.46 (2.63) | 10.96 | HT > CH |
| Challenge appraisal | 4.73 (1.99) | 2.51 (2.04) | 2.48 (2.01) | 32.48 | CH > HT |
| Self-efficacy changes | -.50 (7.76) | -3.81 (7.57) | -.87 (5.31) | 5.29 | CH > HT |
| Cognitive coping | 56.53 (16.21) | 48.38 (17.33) | 51.86 (17.68) | 4.48 | CH > HT |
| Catastrophizing | 8.89 (5.13) | 11.30 (4.90) | 10.19 (5.44) | 4.27 | HT > CH |
† p < 0.10
* p < 0.05
** p < 0.01
*** p < 0.001 based on two-tailed significance tests.
Partial correlations between measures of pain tolerance, appraisal and coping (N = 235).
| 1. | 2. | 3. | 4. | 5. | 6. | |
|---|---|---|---|---|---|---|
| 1. Pain tolerance (in seconds) | — | |||||
| 2. Subjective threat appraisal | -.26 | — | ||||
| 3. Subjective challenge appraisal | .15 | -.07 | — | |||
| 4. Self-efficacy changes | .14 | -.13 | .21 | — | ||
| 5. Cognitive coping | .19 | -.20 | .45 | .12 | — | |
| 6. Catastrophizing | -.50 | .40 | -.06 | .03 | -.08 | — |
*p < 0.05
**p < 0.01
***p < 0.001.
Note
1: Controlling for gender and age.
Fig 1. Path analysis of associations between subjective primary appraisals of pain, self-efficacy changes, coping, and pain tolerance (N = 235).
*p < 0.05; **p < 0.01; ***p < 0.001. Note: proportion of variance explained can be calculated via the formula: 1 –standardized error variance (symbolized by a circle). Values given in the pathways represented standardized regression coefficients. Solid and broken lines between measures, respectively, reflected significant and non-significant paths.
Indirect effects of subjective pain appraisals on pain tolerance (bootstrapping iterated 1000 times).
| Path | Estimate | Standard Error | |
|---|---|---|---|
| Effects from challenge appraisal (CA) to pain tolerance | |||
| Sum of indirect effects | .10 | .04 | .012 |
| CA→self-efficacy changes→pain tolerance | .03 | .01 | .050 |
| CA→cognitive coping→pain tolerance | .06 | .03 | .023 |
| CA→self-efficacy changes→cognitive coping→pain tolerance | .00 | .002 | .865 |
| CA→catastrophizing→pain tolerance | .03 | .03 | .401 |
| CA→self-efficacy changes→catastrophizing→pain tolerance | -.01 | .01 | .198 |
| Effects from threat appraisal (TA) to pain tolerance | |||
| Sum of indirect effects | -.23 | .04 | .001 |
| TA→self-efficacy changes→pain tolerance | -.01 | .01 | .224 |
| TA→cognitive coping→pain tolerance | -.02 | .01 | .096 |
| TA→self-efficacy changes→cognitive coping→pain tolerance | .00 | .001 | .883 |
| TA→catastrophizing→pain tolerance | -.20 | .04 | .001 |
| TA→self-efficacy changes→catastrophizing→pain tolerance | .01 | .01 | .384 |