Task-Contingent Persistence is Related to Better Performance-Based Measures in Patients with Chronic Musculoskeletal Pain

The Relationship Between Pain Intensity and Pain-Related Activity Patterns in Older Adults with Chronic Musculoskeletal Pain: Mediating Roles of Pain Resilience and Pain Catastrophizing

Purpose

To explore the relationship between pain intensity, pain resilience, pain catastrophizing, and pain-related activity patterns in older adults with chronic musculoskeletal pain (CMP).

Patients and Methods

A total of 220 elderly Chinese with chronic musculoskeletal pain were recruited from a tertiary general hospital. Participants completed several measures including a demographic questionnaire, Brief Pain Inventory (BPI), Pain Resilience Scale (PRS), Pain Catastrophizing Scale (PCS), and Patterns of Activity Measure-Pain (POAM-P). Moreover, Process version 3.5 plug-in SPSS26 was used to test the mediation effect between variables.

Results

The scores of POAM-P in older adults with CMP from high to low were: avoidance (27.39 ± 8.10), pacing (24.25 ± 9.48), and overdoing (16.65 ± 10.95). Mediation analysis revealed that pain resilience and pain catastrophizing mediated the relationship between pain intensity and pain-related activity patterns (avoidance and pacing) in older adults with CMP.

Conclusion

These results provide evidence for the role of pain resilience and pain catastrophizing in the relationship between pain intensity and pain-related activity patterns. Interventions targeting these factors should be included in activity management programs for elderly CMP patients. It may be possible to reduce the negative impact of pain intensity on activity patterns by improving pain resilience and reducing pain catastrophizing.

Coping and Beliefs as Predictors of Functioning and Psychological Adjustment in Fibromyalgia Subgroups

Objectives

Research has pointed to two profiles of persons with fibromyalgia according to differences in functionality, thus distinguishing between functional and dysfunctional patients. The role of psychological factors underlying such clusters is unclear. This study aims to explore the contribution of pain beliefs and coping on fibromyalgia clustering.

Methods

A cluster analysis was performed to classify 238 women with fibromyalgia using the Fibromyalgia Impact Questionnaire and the Beck Depression Inventory as clustering variables. Cluster differences in physical functioning, depression, pain beliefs, coping, and age were then calculated (Student's t-test). Finally, a binary logistic regression was conducted to study the unique contribution of age, beliefs, and coping on cluster classification.

Results

Two clusters were revealed. Cluster 1 had a poor adaptation to fibromyalgia regarding physical functioning and depression. They generally embraced less adaptive beliefs (i.e., disability, harm, emotion, and requests) and coping strategies (i.e., guarding, resting, and asking for assistance). Cluster 2 showed a better adaptation to fibromyalgia and adopted more favorable beliefs (i.e., control) and coping strategies (i.e., exercise and task persistence). Cluster differences in age were significant but small. The backward binary logistic regression suggested a final model with six predictors (guarding, task persistence, harm, emotion, solicitude, and age) that explained 31% of the variance of group membership. Discussion. These results suggest that only a subset of psychological variables uniquely and independently contribute to functional/dysfunctional group membership. The results support the need to address psychological components in the management of fibromyalgia and point to a subset of preferred target beliefs and coping strategies.