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Self-efficacy, fear avoidance, and pain intensity as predictors of disability in subacute and chronic musculoskeletal pain patients in primary health care
Abstract
This study examined the relations between disability, as measured by the Pain Disability Index (PDI) and self-efficacy, fear avoidance variables (kinesiophobia and catastrophizing), and pain intensity, using a prospective design. Two primary health care samples (n(1)=210; n(2)=161) of patients with subacute, chronic or recurring musculoskeletal pain completed sets of questionnaires at the beginning of a physiotherapy treatment period. Multiple hierarchial regression analyses showed that self-efficacy explained a considerably larger proportion of the variance in disability scores than the fear avoidance variables in the first sample. This finding was replicated in the second sample. Pain intensity explained a small, but significant proportion of the variance in disability scores in one sample only. Gender, age, and pain duration were not related to disability. These findings suggest that self-efficacy beliefs are more important determinants of disability than fear avoidance beliefs in primary health care patients with musculoskeletal pain. The findings also suggest that pain-related beliefs, such as self-efficacy and fear avoidance, in turn, are more important determinants of disability than pain intensity and pain duration in these patients.
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“One exception is the area of chronic pain research, where several studies demonstrated that perceived self-efficacy not only modulates pain perception (Bandura et al., 1987), but crucially determines coping behavior and quality of life, independently of and often more strongly than physical variables, such as pain intensity or duration (Arnstein et al., 1999; Denison et al., 2004; Burke et al., 20”
From Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression (2016) · cites this paper as Denison et al., 2004
In the citing paper
“As high self-efficacy is suggested to be a more robust determinant of disability than pain intensity or duration,29”
From New approaches towards chronic pain: Patient experiences of a solution-focused pain management programme (2014) · cites this paper as [29]
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Metadata
- Authors
- Denison, E., Åsenlöf, P., & Lindberg, P.
- Affiliations
- Uppsala University (SE)
- Corresponding author
- Denison, Eva
- ORCID
- Åsenlöf, P.
- Venue
- Pain
- Published
- 2004-10
- Volume
- 111
- Issue
- 3
- Pages
- 245-252
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2072413892
- Cited by
- 392
- References
- 45
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 15 · 2023: 6 · 2022: 11 · 2021: 11 · 2020: 19 · 2019: 18 · 2018: 25 · 2017: 23 · 2016: 30 · 2015: 23 · 2014: 19 · 2013: 23 · 2012: 15
- FWCI
- 7.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Vårdalstiftelsen
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pediatric Pain Management Techniques
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Treatment
- Keywords
- self-efficacy, fear avoidance, pain intensity, disability, musculoskeletal pain, chronic pain, subacute pain, kinesiophobia, pain catastrophizing, Pain Disability Index, pain beliefs, physiotherapy, primary care
- MeSH terms
- Adult, Aged, Avoidance Learning, Chronic Disease, Disability Evaluation, Fear, Female, Humans, Male, Middle Aged, Musculoskeletal Diseases, Pain, Pain Measurement, Predictive Value of Tests, Primary Health Care, Regression Analysis, Self Efficacy
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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