Policy Statement — Prevention of Choking Among Children
Cited in 2 Likelier entries (2 risks, 0 decisions).
Used in 2 entries
For each citing entry, the verbatim excerpt and Likelier's calculation notes (how the source's number was converted to the lifetime-probability framing) are shown below. Click through to read the full claim ledger.
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- Statistic
AAP high-risk food list: hot dogs, hard candy, nuts and seeds, whole grapes, raw carrots, apples, popcorn, chunks of peanut butter, marshmallows, chewing gum, chunks of meat or cheese
“"Choking is a leading cause of morbidity and mortality among children, especially those aged 3 years or younger. Food, coins, and toys are the primary causes of choking-related injury and death."”
Calculation notes
The AAP policy statement is the canonical authority for the "high-risk food" list used in the personal_factor_multipliers and the long-form body. It is also the basis for the under-3 peak-risk framing. Reaffirmed by the AAP in October 2019.
Independence note: AAP policy statement synthesises clinical case-series literature and expert consensus rather than a surveillance dataset. Independent of the NEISS/NCHS surveillance pipeline feeding Chapin, Sideris, and the MMWR brief — addresses the high-risk food categorisation and age-concentration rather than the mortality denominator.
Source date: 2010-03-01 · Accessed: 2026-04-12
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AAP high-risk food list names whole grapes alongside hot dogs, hard candy, nuts and seeds, raw carrots, apples, and popcorn; choking is a leading cause of morbidity and mortality in children aged 3 years or younger
“"Choking is a leading cause of morbidity and mortality among children, especially those aged 3 years or younger. Food, coins, and toys are the primary causes of choking-related injury and death."”
Calculation notes
The canonical clinical authority placing whole grapes on the high-risk food list and naming the under-3 peak-risk group. It is the basis for the cutting-as-lever framing (round foods cut small, ideally quartered lengthwise) and the age multipliers. Reaffirmed by the AAP in October 2019. Provides no numerator — categorisation and age concentration only.
Independence note: Expert-consensus policy synthesising the clinical case-series literature rather than a single surveillance dataset. Independent of the NEISS/NCHS mortality pipeline.
Source date: 2010-03-01 · Accessed: 2026-08-16
