Associations between health-related quality of life, physical function and pain in older women with osteoporosis and vertebral fracture
Bibliographic record
Abstract
BACKGROUND: Osteoporosis and vertebral fractures represent a major health burden worldwide, and the prevalence of osteoporosis is expected to increase as the world's population ages. Suffering from vertebral fracture has a substantial impact on the individual's health-related quality of life (HRQoL), physical function and pain. Complex health challenges experienced by older people with osteoporosis and vertebral fractures call for identification of factors that may influence HRQoL, as some of these factors may be modifiable. The objective is to examine the independent associations between HRQoL, physical function and pain in older women with osteoporosis and vertebral fracture. METHODS: This study has a cross-sectional design, using data from 149 home-dwelling Norwegian women with osteoporosis and vertebral fracture, aged 65+. Data on HRQoL (Short Form 36 (SF-36), Quality of Life Questionnaire of the European Foundation for Osteoporosis (QUALEFFO-41)), physical function (walking speed, balance and strength), pain, as well as sociodemographic information were collected. Simple linear regression analyses were conducted and multivariable regression models were fitted to investigate the associations. RESULTS: Lower levels of HRQoL were significantly associated with lower levels of physical function, measured by walking speed, and higher levels of pain. Pain was significantly associated with all of the subscales in SF-36, with the exception of Mental Health and Mental Component Score, and all the subscales of QUALEFFO-41. Walking speed was significantly associated with 5 of 8 subscales of SF-36 (except Bodily Pain, Vitality, Mental Health and Mental Component Score), and with 4 of 6 subscales of QUALEFFO-41 (except Score Pain and Mood). CONCLUSION: This study shows that pain and walking speed were, independently of one another, associated with HRQoL in older women with osteoporosis and vertebral fracture. These findings can inform clinicians and health managers about the importance of pain management and exercise interventions in health care for this group. Future research should address interventions targeting both physical function and pain with HRQoL as an outcome. REGISTRATION: ClincialTrials.gov Identifier: NCT02781974. Registered 18.05.16. Retrospectively registered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".