Association between environmental factors and onset of psoriatic arthritis in patients with psoriasis
Bibliographic record
Abstract
OBJECTIVE: To investigate the association between potential environmental exposures and the development of psoriatic arthritis (PsA) in patients with psoriasis. METHODS: In this case-control study, the cases were patients with recent-onset PsA. The controls were psoriasis patients without arthritis. The occurrence of the following environmental exposures was recorded through a standardized questionnaire: smoking, alcohol consumption, infections, injuries, physically demanding occupational tasks, stressful life events, vaccinations, and female hormonal exposures. The association between each exposure to environmental events and disease status was assessed through logistic regression after adjustment for age, sex, education level, and duration and severity of psoriasis. RESULTS: There were 159 subjects in each group. The following exposures remained significantly associated with PsA following multivariate logistic regression: lifting cumulative loads of at least 100 pounds/hour (odds ratio [OR] 2.8, 95% confidence interval [95% CI] 1.51-5.05), infections that required antibiotics (OR 1.7, 95% CI 1.00-2.77), smoking (OR 0.6, 95% CI 0.36-0.89), and injuries (OR 2.1, 95% CI 1.11-4.01). The results were not appreciably changed with the inclusion of each of these factors in a single regression model; however, the level of significance for injuries had become borderline. No association was found between PsA and alcohol consumption, vaccination, stressful life events, and female hormonal exposures. CONCLUSION: Lifting heavy loads and infections that required antibiotics were associated with the occurrence of arthritis among patients with psoriasis. There was an inverse association between smoking and PsA. Further studies are necessary to determine whether these and other environmental factors are moderated by predisposing genetic factors.
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) | 0.000 | 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".