Spondyloarthritis Is Associated with Poor Function and Physical Health-Related Quality of Life
Bibliographic record
Abstract
OBJECTIVE: To study physical function and health-related quality of life (HRQOL) in US veterans with spondyloarthritis (SpA). METHODS: In a postal survey of 70,334 eligible veterans, demographics, performance of activities of daily living (ADL), and HRQOL, by Veterans Short Form-36, were queried; 58% responded (n = 40,508). Databases provided International Classification of Diseases, 9th ed. codes for ankylosing spondylitis (AS), psoriatic (PsA) and reactive arthritis (ReA), comorbidities, and demographics. Multivariable linear/logistic regressions compared ADL limitations and HRQOL in SpA versus non-SpA, and predictors in SpA. RESULTS: Six hundred sixty-four veteran respondents had diagnoses of SpA: AS, n = 100; PsA, n = 551; ReA, n = 13. Veterans with AS, PsA, and ReA had significantly more limitations in dressing (44%, 23%, 24% vs 22%; p = 0.0002), transferring (57%, 42%, 64% vs 39%; p = 0.0006), walking (74%, 57%, 67% vs 54%; p = 0.0005), and overall mean ADL limitations (2.5, 1.7, 2.1 vs 1.6; p < 0.0001) compared to veterans without SpA, after multivariable adjustment. Limitations in each ADL in patients with SpA were 1.3-5.3 times that of an age-matched US cohort. Physical HRQOL was significantly lower compared with non-SpA veterans (p < 0.0001 for physical component summary, physical functioning, role physical, and bodily pain; p = 0.004 for general health) and age-sex-matched US norms; all differences exceeded clinically meaningful threshold of 5-10 units. More limitations in ADL were significantly associated with lower physical component summary scores in patients with AS and with lower physical and mental component summary scores in PsA. CONCLUSION: After adjustment for differences in demographics and comorbidities, poorer physical function and HRQOL were observed in patients with SpA. Strategies focused to improve/maintain functional status are important for treatment of SpA.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".