Effect of diet, exercise and sleep on tic severity: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Tourette syndrome is a common childhood-onset neuropsychiatric disorder, with tics that wax and wane in frequency and severity over time. The purpose of the proposed scoping review is to map the types of evidence available pertaining to the effect of diet, sleep and exercise on tic severity and identify key concepts and gaps in research. METHODS: and Joanna Briggs Institute. We will attempt to identify all the relevant literature regardless of study design. We will search six electronic databases, the reference lists of all selected studies and the grey literature for studies examining an association between dietary factors, sleep or physical exercise and tics, or studies of interventions targeting diet, sleep or exercise to reduce tics. Our analysis plan includes description of the reported associations among dietary factors, sleep and physical exercise and tics, the effects of interventions, the research methodologies and how outcomes are measured. ETHICS AND DISSEMINATION: An approval from a recognised committee is not required to conduct the proposed review, as the study entails secondary analysis of the literature available publicly. For dissemination of the study, the results will be submitted for publication to peer-reviewed scientific journals and presented at relevant public forums and conferences.
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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 | 0.073 | 0.058 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.013 | 0.014 |
| Bibliometrics | 0.014 | 0.011 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.055 | 0.009 |
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".