Association between school absence and physical function in paediatric chronic fatigue syndrome/myalgic encephalopathy
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To investigate factors associated with school attendance and physical function in paediatric chronic fatigue syndrome/myalgic encephalopathy (CFS/ME). DESIGN: Cross-sectional study. SETTING: Regional specialist CFS/ME service. PATIENTS: Children and young people aged under 18 years. OUTCOME MEASURES: Self-reported school attendance and physical function measured using the physical function subscale of the Short Form 36. METHODS: Linear and logistic regression analysis of data from self-completed assessment forms on children attending a regional specialist service between 2004 and 2007. Analyses were done in two groups of children: with a completed Spence Children's Anxiety Scale (SCAS) and with a completed Hospital Anxiety and Depression Scale (HADS). RESULTS: Of 211 children with CFS/ME, 62% attended 40% of school or less. In children with completed SCAS, those with better physical function were more likely to attend school (adjusted odds ratio (OR) 1.70; 95% CI 1.36 to 2.13). This was also true for those with completed HADS (adjusted OR 2.05; 95% CI 1.4 to 3.01). Increasing fatigue and pain and low mood were associated with worse physical function. There was no evidence that anxiety, gender, age at assessment, family history of CFS/ME or time from onset of symptoms to assessment in clinic were associated with school attendance or physical function. IMPLICATIONS: Paediatricians should recognise that reduced school attendance is associated with reduced physical function rather than anxiety. Improving school attendance in children with CFS/ME should focus on evidence-based interventions to improve physical function, particularly concentrating on interventions that are likely to reduce pain and fatigue.
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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 | 0.001 |
| 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) | 0.000 | 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 it