| Literature DB >> 31651462 |
Chan-Juan Xie1, Xiang-Hua Xu, Mei-Jun Ou, Yong-Yi Chen.
Abstract
BACKGROUND: Cancer-related chronic pain is reported by many patients during treatment. There are very few Chinese tools for measuring psychological inflexibility caused by cancer pain, particularly with regard to psychological processes that might influence pain severity and function disorder during cancer treatment.Entities:
Mesh:
Year: 2021 PMID: 31651462 PMCID: PMC8061340 DOI: 10.1097/NCC.0000000000000772
Source DB: PubMed Journal: Cancer Nurs ISSN: 0162-220X Impact factor: 2.760
Figure 1Flow diagram outlining the process of cultural adaptation.
Demographic Information and Pain-Related Characteristics of the Participants (n = 359)
| Variable | n | Frequency (%) | Mean ± SD | Range |
|---|---|---|---|---|
| Age, y | 359 | 52.54 ± 13.29 | 18–82 | |
| Gender | ||||
| Female | 193 | 53.8 | ||
| Male | 166 | 46.2 | ||
| Education | ||||
| Primary | 106 | 29.5 | ||
| Middle | 95 | 26.5 | ||
| High | 102 | 28.4 | ||
| Higher education | 56 | 15.6 | ||
| Marital status | ||||
| Married | 280 | 78.0 | ||
| Unmarried | 18 | 5.0 | ||
| Divorced or widowed (others) | 61 | 17.0 | ||
| Job | ||||
| Employee | 74 | 20.6 | ||
| Self-employed | 55 | 15.3 | ||
| Retired | 35 | 9.7 | ||
| Others | 195 | 54.3 | ||
| Residence area | ||||
| Rural | 213 | 59.3 | ||
| Urban | 146 | 40.7 | ||
| Pain location | ||||
| Abdomen | 143 | 39.8 | ||
| Chest | 125 | 34.8 | ||
| Shoulder and back | 101 | 28.1 | ||
| Leg | 59 | 16.4 | ||
| Arm | 40 | 11.1 | ||
| Neck | 36 | 10.0 | ||
| Lamb | 34 | 9.5 | ||
| Head | 18 | 5.0 | ||
| Others | 31 | 8.6 | ||
| Diagnosis | ||||
| Lung cancer | 87 | 24.2 | ||
| Liver cancer | 54 | 15.0 | ||
| Breast cancer | 43 | 12.0 | ||
| Colon cancer | 33 | 9.2 | ||
| Pancreatic cancer | 23 | 6.4 | ||
| Nasopharynx cancer | 22 | 6.1 | ||
| Cervical cancer | 16 | 4.5 | ||
| Others | 81 | 22.6 | ||
| NRS | 359 | 8.32 (1.58) | 4-10 |
Abbreviation: NRS, numeric rating scale.
Results of Item Discrimination Analyses (n = 359)
| Item number | Low-Score Group, M ± SD | High-Score Group, M ± SD | 95% CI of Difference Value | |||
|---|---|---|---|---|---|---|
| Lower Limit | Upper Limit | |||||
| 1. I cancel planned activities when I am in pain. | 4.48 ± 1.15 | 6.01 ± 0.57 | −12.36 | .000a | −1.78 | −1.29 |
| 2. I say things like “I don’t have any energy,” “I am not well enough,” “I don’t have time,” “I don’t dare,” “I have too much pain,” “I feel too bad,” or “I don’t feel like it.” | 4.26 ± 1.00 | 5.72 ± 0.65 | −12.74 | .000a | −1.69 | −1.23 |
| 3. I need to understand what is wrong in order to move on. | 3.58 ± 1.15 | 5.11 ± 0.80 | −11.41 | .000a | −1.80 | −1.27 |
| 4. Because of my pain, I no longer plan for the future. | 4.73 ± 0.76 | 6.11 ± 0.511 | −15.71 | .000a | −1.55 | −1.21 |
| 5. I avoid doing things when there is a risk it will hurt or make things worse. | 5.05 ± 1.00 | 6.31 ± 0.48 | −11.68 | .000a | −1.48 | −1.05 |
| 6. It is important to understand what causes my pain. | 4.11 ± 0.94 | 5.22 ± 0.64 | −10.23 | .000a | −1.33 | −0.90 |
| 7. I don’t do things that are important to me to avoid pain. | 4.25 ± 1.18 | 6.21 ± 0.76 | −14.52 | .000a | −2.23 | −1.69 |
| 8. I postpone things because of my pain. | 4.44 ± 1.14 | 6.11 ± 0.76 | −12.70 | .000a | −1.94 | −1.42 |
| 9. I would do almost anything to get rid of my pain. | 4.88 ± 1.00 | 5.98 ± 1.00 | −8.19 | .000a | −1.37 | −0.84 |
| 10. It’s not me that controls my life; it’s my pain. | 4.64 ± 0.99 | 6.08 ± 0.58 | −13.01 | .000a | −1.66 | −1.22 |
| 11. I avoid planning activities because of my pain. | 4.35 ± 0.88 | 5.94 ± 0.84 | −13.82 | .000a | −1.82 | −1.37 |
| 12. It is important that I learn to control my pain. | 4.75 ± 1.04 | 6.15 ± 0.60 | −12.12 | .000a | −1.63 | −1.17 |
Abbreviations: 95% CI, 95% confidence interval; M, mean.
aP < .001.
Goodness-of-Fit Values for Different Models (n = 359)
| Model | Model Fit Indices | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| CFI | NFI | GFI | AGFI | RMSR | RMSEA | ||||
| 12-Item PIPSa | 132.91 | 53 | 2.508 | 0.953 | 0.925 | 0.944 | 0.917 | 0.040 | 0.065 |
| 12-Item PIPSb | 264.06 | 53 | 4.98 | 0.98 | Null | Null | Null | 0.058 | 0.070 |
| 14-Item PIPSc | 533.41 | 77 | 6.93 | 0.872 | Null | 0.888 | 0.847 | Null | 0.099 |
| 12-Item PIPSd | 324.60 | 53 | 6.12 | 0.907 | Null | 0.915 | 0.875 | Null | 0.092 |
| 11-Item PIPSe | 81.07 | 53 | 1.53 | Null | Null | 0.925 | Null | Null | 0.054 |
Abbreviations: AGFI, adapted goodness-of-fit index; CFI, comparative fit index; GFI, goodness-of-fit index; NFI, normalized fit index; PIPS, Psychological Inflexibility in Pain Scale; RMSR, root mean square residual; RMSEA, root mean square error of approximation.
aThe 12-item PIPS was a result of goodness-of-fit values in the current study.
bThe 12-item PIPS was a result of goodness-of-fit values in the study of Trompetter et al.[29]
cThe 14-item PIPS was a result of goodness-of-fit values in the study of Wicksell et al.[27]
dThe 12-item PIPS was a result of goodness-of-fit values in the study of Wicksell et al.[27]
eThe 11-item PIPS was a result of goodness-of-fit values in the study of Barke et al.[28]
Figure 2Two-factor model structure with standardized parameter estimates.
Confirmatory Factor Analysis With Standardized and Unstandardized Regression Weights (n = 359)
| Item No. | Subscale | UNSTD | SE | STD | CR | AVE | ||
|---|---|---|---|---|---|---|---|---|
| Item 4 | Avoidance | 1 | 0.862 | 0.89 | 0.50 | |||
| Item 7 | Avoidance | 1.227 | 0.081 | 15.072 | .000a | 0.706 | ||
| Item 2 | Avoidance | 1.019 | 0.065 | 15.743 | .000a | 0.728 | ||
| Item 8 | Avoidance | 1.125 | 0.075 | 15.08 | .000a | 0.706 | ||
| Item 1 | Avoidance | 1.002 | 0.071 | 14.018 | .000a | 0.669 | ||
| Item 11 | Avoidance | 0.995 | 0.074 | 13.489 | .000a | 0.65 | ||
| Item 10 | Avoidance | 0.949 | 0.071 | 13.279 | .000a | 0.643 | ||
| Item 5 | Avoidance | 0.834 | 0.058 | 14.456 | .000a | 0.685 | ||
| Item 3 | Fusion | 1 | 0.693 | 0.74 | 0.42 | |||
| Item 12 | Fusion | 0.897 | 0.089 | 10.074 | .000a | 0.693 | ||
| Item 6 | Fusion | 0.708 | 0.073 | 9.734 | .000a | 0.655 | ||
| Item 9 | Fusion | 0.69 | 0.083 | 8.329 | .000a | 0.536 |
Abbreviations: AVE, average variance extracted; CR, composite reliability; SE, standard error; STD, standardized; UNSTD, unstandardized.
aP < .001.