Publication:
Activity Pattern Profiles: Relationship With Affect, Daily Functioning, Impairment, and Variables Related to Life Goals.

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Date

2017-01-04

Authors

Esteve, Rosa
López-Martínez, Alicia E
Peters, Madelon L
Serrano-Ibáñez, Elena R
Ruíz-Párraga, Gema T
González-Gómez, Henar
Ramírez-Maestre, Carmen

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Abstract

The aim of this cross-sectional study was to identify subgroups of patients on the basis of their activity patterns and to investigate their relationship with life goals, optimism, affect, and functioning. The sample was comprised of 276 patients with chronic musculoskeletal pain. Hierarchical cluster analysis was performed on the activity pattern variables and the resulting clusters were compared using 1-way analysis of variance. The 4-cluster was the optimal solution. The 4 clusters comprised: 1) avoiders: patients with high levels of avoidance and low levels of persistence, who use pacing to reduce pain, 2) doers: patients with high levels of persistence and low levels of pacing and avoidance, 3) extreme cyclers: patients with high levels of avoidance and persistence and low levels of pacing, and 4) medium cyclers: patients with moderately high levels of avoidance and persistence and high levels of pacing. Comparison of the clusters showed that doers had the most adaptive profile, whereas avoiders, followed by extreme cyclers, had unhealthy profiles. Doers showed a high level of optimism and a good balance between goal value, expectancy, and conflict. It is useful to distinguish profiles on the basis of various activity patterns. In contrast to profiles characterized by avoidance, profiles characterized by high persistence and low avoidance were associated with adaptive results. Patients with this profile also showed a high level of optimism and a good balance between goal value, expectancy, and conflict.

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MeSH Terms

Activities of Daily Living
Adaptation, Psychological
Adult
Affect
Chronic Pain
Disability Evaluation
Female
Goals
Humans
Male
Middle Aged
Motor Activity
Pain Measurement
Self Report
Statistics as Topic

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Keywords

Activity patterns, avoidance, chronic pain, life goals, pacing, persistence

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