Are balance problems connected to reading speed or the familial risk of dyslexia?
Bibliographic record
Abstract
AIM: The aim of this study was to examine the connection between balance problems and reading speed in children with and without a familial risk of dyslexia by controlling for the effects of attention, hyperactivity, and cognitive and motor functioning. METHOD: The prevalence of balance problems was studied in 94 children (48 females, 46 males) with a familial risk of dyslexia (at-risk group) and 85 children (38 females, 47 males) without a risk of dyslexia (comparison group). Further, the relationships between balance problems (at age 8y 6mo), reading proficiency (at age 9y), attention-deficit-hyperactivity disorder (at age 8y), and cognitive (at age 8y 6mo) and motor functioning (at age 6y 6mo) were examined. Inclusion criteria for the at-risk group were that at least one parent had a confirmed reading problem and one or more of the parents' close relatives also had a reading problem. The Good Balance System was used to assess static standing balance, word-list and text reading tasks were used to measure reading proficiency. The Behavioural Assessment System for Children - Parent Rating Scale was used to assess attention-deficit-hyperactivity disorder, the Wechsler Intelligence Scale for Children was used to assess cognitive functioning, and the Movement Assessment Battery for Children was used to measure motor functioning. RESULTS: Balance (F((1,177)) =4.82; p=0.029; =0.027) and reading (F((1,176)) =11.95; p=0.001; =0.064) problems were more common in the at-risk group than in the comparison group. Furthermore, attention, hyperactivity, IQ, and motor functioning were not related to balance problems. However, attention (F((1,154)) =10.80; p=0.001; =0.066) and IQ (F((1,170)) =22.08; p<0.001; =0.115) were individually connected to reading speed. INTERPRETATION: Balance problems alone could not produce any differences in reading skills. Instead, both balance problems and reduced reading skills were mainly associated separately with a familial risk of dyslexia. This indicates that there may be a shared genetic mechanism between balance and reading problems.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".