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Severity of All-Terrain Vehicle–Related Injuries by Age in Canada, 2002-2019

2023· article· en· W4378782264 on OpenAlexafffundabout
William MacDougall, Xuejing Jiang, Shamsia Sobhan, Robert Balshaw, Barbara Haas, Lynne Moore, Natalie Yanchar, Jonathan McGavock

Bibliographic record

VenueJAMA Network Open · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryGeorge & Fay Yee Centre for Healthcare InnovationSunnybrook Health Science CentreUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
FundersCanadian Institutes of Health Research
KeywordsMedicineOdds ratioInjury preventionOddsSpinal cord injuryPoison controlOccupational safety and healthInjury Severity ScoreCross-sectional studyDemographyPediatricsLogistic regressionEmergency medicineSpinal cordInternal medicine

Abstract

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Importance: Rates of pediatric hospitalizations following an injury while riding an all-terrain vehicle (ATV) are increasing. Few studies have compared the rates of severe injuries among children, adolescents, and adults. Objectives: To investigate whether younger ATV riders are at risk for more severe ATV-related injuries. Design, Setting, and Participants: This cross-sectional study was conducted using administrative data from hospitals in 9 provinces in Canada. Participants included patients admitted to hospitals with ATV-related injuries between 2002 and 2019. Statistical analysis was performed from June 2020 to September 2021. Exposures: The primary exposure was age younger than 16 years. Comparison groups were youths aged 16 to 20 years and adults aged 21 years and older. Main Outcomes and Measures: The main outcomes of interest were death, spinal cord injury, and an Injury Severity Score (ISS) greater than 25. Secondary outcomes were less severe injuries, including head injuries, crush type injuries, and fractures. Results: Among 52 745 patients with complete data, 15% were youths younger than 16 years, 13% were youths aged 16 to 20 years, 82% were male, and 47% lived in rural areas. After adjusting for covariates, the odds of dying were higher among youths aged 16 to 20 years (adjusted odds ratio [aOR], 1.64; 95% CI, 1.04-2.60) compared with those younger than 16 years. Youths aged 16 to 20 years also had higher odds of spinal cord injury (aOR, 2.72; 95% CI, 1.80-4.20) and an injury severity score greater than 25 (aOR, 1.63; 95% CI, 1.36-1.96) compared with youths 16 years of age or less. Sex-specific analyses revealed these associations were greater for male youths aged 16 to 20 years (spinal cord injury: aOR, 3.81; 95% CI, 1.38-11.10, and dying in a hospital: aOR, 4.37; 95% CI, 1.19-21.02) than female youths aged 16 to 20 years. Conclusions and Relevance: In this cross-sectional study of patients hospitalized for ATV injuries in Canada, youths aged 16 to 20 years and adults aged 21 years and older were at an increased risk of death and severe injuries compared with youths younger than 16 years. The increased risk of death and severe injuries was most evident among male patients.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.012
GPT teacher head0.218
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations5
Published2023
Admission routes3
Has abstractyes

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