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Record W2792168670

Examining the relationship between chronic pain and health related quality of life among older Canadian adults with disability

2012· dissertation· en· W2792168670 on OpenAlexaboutno aff
Kristina Zawaly

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)Chronic painGerontologyMedicinePsychologyPhysical therapyNursing
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The effects of chronic pain on health-related Quality of Life (HRQoL) among older Canadian adults with disability was not well known. Study Objectives: This study was conducted to examine the relationship between chronic pain and HRQoL among older Canadian adults with disability aged 55+. Methods: This study was a secondary analysis of cross-sectional data from the 2006 Participation and Activity Limitation Survey (PALS). Weighted data was used to examine the relationship between chronic pain and HRQoL using multivariate logistic regression techniques. Results: An estimated 68% of older Canadian adults with disability reported having chronic pain. Multivariate regression analysis confirmed a significant independent effect of chronic pain on self-reported HRQoL. Conclusion: Our results highlight the importance of pain assessment and management for older adults with disabilities in general and in particular among those with limited communication abilities.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.264
Teacher spread0.218 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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