Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus
July 10, 2026 · via Europe PMC
A nationwide retrospective study of toy-related ocular injuries in children presenting to emergency departments in the United States.
Ashourizadeh H, Grinspan N, Lu ES, Armstrong GW.
AI summary — for doctors, generated from the abstract only
An estimated 131,094 toy-related eye injuries reached US emergency departments from 2003 to 2022, with a stable annual rate of 8.9 per 100,000 children.
What was studied
An analysis of National Electronic Injury Surveillance System (NEISS) data on toy-related ocular injuries in US children over 20 years, using descriptive statistics and multivariable logistic regression.
Key findings
- Estimated 131,094 injuries; annual incidence 8.9 per 100,000, statistically stable over time
- Contusions/abrasions were most common (56.4%)
- Vision-threatening injuries such as ruptured globe and retinal detachment were uncommon
- Toy guns with projectiles (9.2%), balls (4.4%), and nonprojectile toy weapons (3.3%) were frequently implicated
- Younger age and male sex were associated with higher odds of injury
Clinical relevance
Highlights projectile toys and young boys as key targets for injury prevention efforts; the surveillance data capture only ED visits and rely on coded diagnoses.
Who should care
Limitations
Based on ED surveillance estimates with a large share of nonspecific diagnoses (27.1% 'Others/Not Stated'); injuries not presenting to EDs are missed.
Toy-related eye injuries in children have not declined, pointing to a need for more prevention and awareness.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Background
Toy-related ocular injuries are a significant cause of preventable eye trauma in children. This study examined the epidemiologic trends and risk factors associated with toy-related eye injuries in US children.
Methods
Data from the National Electronic Injury Surveillance System (NEISS) were analyzed for pediatric toy-related ocular injuries (code 77: eyeball) between 2003 and 2022. Descriptive statistics and multivariable logistic regression were used to identify risk factors and trends.
Results
An estimated 131,094 toy-related ocular injuries occurred in children presenting to US EDs from 2003 to 2022. The annual incidence rate of 8.9 per 100,000 remained statistically stable during the study period. Common diagnoses included contusions/abrasions (56.4%), "Others/Not Stated" diagnoses (27.1%), and dermatological/conjunctival injuries (5.3%). Free-text review showed that the "Others/Not Stated" diagnoses included injury, pain, hyphema, subconjunctival hemorrhage, iritis, trauma, and chemical exposure. Vision-threatening conditions, including blunt eye trauma, ruptured globe, vision disturbance, retinal detachment, and commotio retinae, were uncommon. Toy guns with projectiles (9.2%), balls (4.4%), and nonprojectile toy weapons (3.3%) were frequently implicated. In multivariable analysis, younger age and male sex were associated with higher odds of injury, whereas Black or African American race (vs White race) was associated with lower odds. Injuries occurring outside the home and those requiring hospital admission were less likely to be toy-related.
Conclusions
Despite efforts to improve toy safety, the relatively constant number of toy-related ocular injuries and the higher prevalence of certain types of toys associated with these injuries highlight the need for increased education and awareness.
DOI
10.1016/j.jaapos.2026.104893
PMID
42431578
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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