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Record W4405531624 · doi:10.1016/j.msksp.2024.103247

Do biopsychosocial factors predict the level of physical activity in individuals with persistent shoulder pain?

2024· article· en· W4405531624 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMusculoskeletal Science and Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of British ColumbiaCentre for Interdisciplinary Research in Rehabilitation
FundersFonds de Recherche du Québec - Santé
KeywordsBiopsychosocial modelMedicinePhysical activityPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

The objective of this cross-sectional study was to compare the physical activity level between individuals with and without rotator cuff related shoulder pain (RCRSP), and, in individuals with RCRSP, investigate whether biopsychosocial factors are associated with the physical activity level. Seventy-four participants with and 84 participants without RCRSP wore a fitness tracking watch for seven consecutive days to assess physical activity (step count, moderate-to-vigorous physical activity (MVPA)-minutes). Additionally, participants with RCRSP completed questionnaires on their level of pain, disability, and physical activity (short version of the International Physical Activity Questionnaire [IPAQ]), as well as on biopsychosocial factors, including resilience, stress, catastrophizing, anxiety and depressive symptoms, self-efficacy, and social support. Statistical analysis included Mann-Whitney U tests and General Linear Models for group comparisons, as well as multiple regression analyses to explore predictors of physical activity. No significant between-group difference was found concerning step count and MVPA-minutes. Age and depressive symptoms explained 14% of the variance in step count, while age and resilience explained 15% of MVPA-minutes variance. Additionally, resilience was associated with IPAQ (P < 0.05), indicating that higher resilience correlates with greater reported physical activity (odds ratio: 2.32 [1.27, 4.22]). While individuals with RCRSP did not show lower physical activity levels compared to their healthy counterparts, greater physical activity was associated with younger age, lower depressive symptoms, and higher resilience in individuals with RCRSP. Future research should explore whether resilience and physical activity interventions can prevent the transition to persistent RCRSP. • Pain was not a significant determinant of reduced physical activity levels. • Younger age and fewer depressive symptoms were associated with higher step counts in RCRSP patients. • Resilience was associated with increased MVPA-minutes in patients with RCRSP. • Resilience was associated with higher levels of self-reported physical activity in RCRSP patients. • Future studies should explore resilience and activity interventions to prevent RCRS

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.388
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it