Prevalence of bone fractures among children and adolescents with attention-deficit/hyperactivity disorder: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a significant neurodevelopment disorder among children and adolescents, with 5 % prevalence. Bone fractures account for 25 % of accidents and injuries among all children and adolescents. Considering the characteristics of inattention, hyperactivity, and impulsivity in children with ADHD, it is critical to examine bone fractures among these children. The objective of our meta-analysis was to determine the prevalence of bone fractures among children and adolescents with ADHD. METHODS: We completed a systematic review and meta-analysis using an electronic search of the following databases: CINAHL, EMBASE, PsycINFO, PubMed, and Scopus. The search terms used were: "attention deficit hyperactivity disorder OR attention deficit disorder" and "bone fracture*." We included studies examining patients 18 years or younger who were diagnosed with ADHD and tracked (prospectively or retrospectively) for five or more years. Effect size (es), using a random effects model, was calculated. We registered the review protocol with PROSPERO (CRD42019119527). RESULTS: From 445 records retrieved, 31 full text articles were reviewed and 5 articles met inclusion criteria for meta-analysis. The summary es revealed the prevalence of bone fractures among children and adolescents with ADHD to be 4.83 % (95 % CI: 3.07-6.58 %). The location of bone fractures, using a subset of data, showed a distribution of 69.62 %, 22.85 %, and 7.53 % in the upper limbs, lower limbs, and other anatomical regions, respectively. Another subset of studies revealed a 2.55-fold increase in the prevalence of fractures among the children with ADHD compared to their counterparts. CONCLUSIONS: Awareness of these findings is critical to physicians, parents, and policy makers to create safe environments and provide supports in order to optimize the health and safety of children and adolescents with ADHD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".