| Literature DB >> 24927488 |
Nina El-Shormilisy, Jenny Strong, Pamela J Meredith.
Abstract
BACKGROUND: Developing strategies for coping with chronic pain is an integral part of successfully living with this often debilitating health condition. While gender differences in pain coping strategies have long been investigated, the relationship between gender-specific engagement in coping and associated functioning in individuals experiencing chronic pain is yet to be clearly understood.Entities:
Mesh:
Year: 2014 PMID: 24927488 PMCID: PMC4325891 DOI: 10.1155/2015/490610
Source DB: PubMed Journal: Pain Res Manag ISSN: 1203-6765 Impact factor: 3.037
Study characteristics
| Bergström et al ( | Cross-sectional (n=235) | Long-term nonspecific low back pain and/or neck pain | 32.5±58.7 | 43.6±10.3 | 106/129 | CSQ-CAT | MPI-S | 71.43 |
| Edwards et al ( | Cross-sectional (n=215) | Chronic pain | 58.8±61.2 | 42.9±10.9 | 101/114 | CSQ | MPI | 71.43 |
| Hirsh et al ( | Cross-sectional (n=248) | Chronic pain secondary to a disability (SCI and MS) >3 months | – | SCI: 48.49±11.84 | 120/128 | CSQ-CAT | BPI (mod) | 85.71 |
| Keefe et al ( | Cross-sectional (n=168) | Chronic pain due to osteoarthritis of the knees | – | 60.88±10.75 | 72/96 | CSQ-CAT | AIMS | 78.57 |
| Koopman et al ( | Prospective cohort study (n=51) | Chronic low back pain >6 months | 76.5±102.6 (range 6–545) | 41.7±8.5 | 30/21 | CSQ | QBPDS | 57.14 |
| Smith et al ( | Cross-sectional (n=80) | Chronic myofascial pain >6 months | 136.56±91.32 (range 6–420) | 48.67±11.82 (range 24–86) | 20/60 | EAC | WHYMPI | 71.43 |
| Wijnhofen et al ( | Cross-sectional (n=2517) | Chronic musculoskeletal pain >3 months | – | M: 55.7 | 1070/1447 | PCS | SQUASH | 71.43 |
AIMS Arthritis Impact Measurement Scale; BPI Brief Pain Inventory; CSQ Coping Strategies Questionnaire; CSQ-CAT Catastrophizing Subscale of the CSQ; DRI Disability Rating Index; EAC Emotional Approach Coping Scale; F Female; M Male; MPI Multidimensional Pain Inventory; MPI-S MPI – Swedish Version; MS Multiple Sclerosis; PCS Pain Catastrophizing Scale; PILE Progressive Isoinertial Lifting Evaluation; QBPDS Quebec Back Pain Disability Scale; RTW Return to Work; SCI Spinal Cord Injury; SQUASH Short Questionnaire to Assess Health-Enhancing Physical Activity; VMPCI Vanderbilt Multidimensional Pain Coping Inventory; WHYMPI The West-Haven-Yale Multidimensional Pain Inventory
Figure 1)The process of study inclusion
Summary of the identified associations (including effect sizes)
| ‘Catastrophizing’ and lower levels of functioning | Bergström et al ( | Catastrophizing and interference in activities of daily living were more strongly correlated for women (Pearson’s correlation coefficient: 0.44; P<0.001) than men (0.24; P<0.05) |
| Hirsh et al ( | The association between gender and catastrophizing approached significance for pain interference (β=0.28; P=0.06). Women with greater catastrophizing were slightly stronger associated with greater pain interference (R=0.50; P<0.001) when compared with men (R=0.42; P<0.001) | |
| Keefe et al ( | Catastrophizing appeared to function as a mediator in the relationship between gender and pain-related outcomes (including physical disability). It has been found that women were using catastrophizing significantly more often (mean [± SD] 7.01±6.95 and 3.08±4.48) and also experienced greater physical disability levels (1.95±1.00 and 1.45±0.87) compared with men, respectively | |
| Wijnhofen et al ( | High levels of catastrophizing were associated with poorer levels of functioning in men (1.74 [95% CI 1.31–2.31]; P≤0.05) and women (1.66 [95% CI 1.33–2.07]; P≤0.05). The difference between the genders, however, has not been found to be statistically significant. Women, however, have been found to engage in this coping pattern more often (P<0.05). Men engaging in catastrophizing coping behaviours have been found to experience greater work disability (2.63 [95% CI 1.63–4.25]; P≤0.05) when compared with women (1.35 [95% CI 0.89–2.04]; not statistically significant) | |
| ‘Reinterpreting pain sensations’ and higher levels of functioning | Koopman et al ( | Male gender and engagement in ‘reinterpretation of pain sensations’ were factors related to return to work within 12 month (OR for sex in multiple logistic regression analyses: 1.00 and 0.10) |
| Emotional Approach Coping and higher levels of functioning | Smith et al ( | Men engaging in Emotional Approach Coping experienced lower physical impairment. This association was not found for women (partial correlation coefficients −0.30 and 0.06, respectively) |
| Presence of emotional states (eg, anxiety and depression) are associated with coping and functioning | Edwards et al ( | Men with high anxiety levels experienced greater pain interference when compared to men with low anxiety levels (P<0.05). This association was not found for women and did not appear to be mediated by coping strategies. |
| 1. Is the hypothesis/aim/objective of the study clearly described? | |
| 2. Are the main outcomes to be measured clearly described in the Introduction or Methods section? | |
| 3. Are the characteristics of the patients included in the study clearly described? (inclusion and/or exclusion criteria) | |
| 4. Is the approach to coping and activity measure clearly described? | |
| 5. Are the main findings of the study clearly described? | |
| 6. Does the study provide estimates of random variability in the data for the main outcomes (eg, interquartile range for nonnormally distributed data; standard error, standard deviation, or confidence intervals for normally distributed data)? | |
| 7. Have the actual probability values been reported (eg, 0.035 rather than <0.05) for the main outcomes except where the probability value is less than 0.001? | |
| 8. Were the subjects asked to participate in the study representative of the entire population from which they were recruited? | |
| 9. Were those subjects who were prepared to participate representative of the entire population from which they were recruited? | |
| 10. Were the staff, places, and facilities where patients were treated representative of the treatment the majority of patients receive? | |
| 11. If any of the results of the study based on “data dredging” (analysis that had not been planned at the outset of the study), was this made clear? | |
| 12. Were the statistical tests used to access the main outcomes appropriate? | |
| 13. Were the main outcome measures used accurate (valid and reliable)? | |
| 14. Did the study report on statistical power? | |