What is the impact of adolescent arthritis and rheumatism? Evidence from a national sample of Canadians.
Bibliographic record
Abstract
OBJECTIVE: Adolescent arthritis or rheumatism (AAR) has been shown to influence the activities, mental health, and healthcare utilization of affected individuals. However, these effects have never been estimated in a population-based sample. We examined the association of AAR with health status, health services use, health behaviors, and activity limitations. We also investigated the effect of socioeconomic status and family background on respondents with AAR. METHODS: The 1996 National Population Health Survey is a nationally representative survey exploring the health status and behaviors of Canadians. Among the 26,012 individuals aged 12 to 19 with complete responses on the presence of chronic illnesses, the 213 self-reporting arthritis or rheumatism (AAR) were compared to: (1) all other adolescents as a single group; or (2) the group of 9161 adolescents reporting other chronic diseases (OCD) but not AAR, and the group of 16,638 adolescents without chronic disease (WCD). Between-group differences were examined for the following variables: health status; use of health services; presence of activity limitations in school, work, or at home; and school enrollment and work status. RESULTS: Compared to those without, respondents with AAR reported more diagnoses of non-AAR chronic illnesses. Depression among AAR individuals was more prevalent than among non-AAR individuals, as was suffering from moderate or severe pain. Those with AAR were more likely than WCD individuals to use physician services, hospital services, and pain relief medications. AAR patients were more likely to be limited in their activities, and less likely to be enrolled in school than OCD or WCD individuals. CONCLUSION: This study indicates a broad range of effects of AAR in a nationally representative sample. Arthritis or rheumatism affected measures of mental health, health service use, and the school, work, and home activities of affected individuals, compared to individuals without chronic disease or with other chronic disease.
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".