A Longitudinal Study of Ice Hockey Helmet Shelf Life
Bibliographic record
Abstract
Abstract After manufacture and before retail, ice hockey helmets must pass safety standard tests based primarily on multiple impacts at several global sites to receive certification. Unknown is the effective “shelf life” of these products; that is, do material and construction properties deteriorate with aging to a point below the impact criteria for certification? To address this question, a prospective 6 year study has been completed to investigate the effects of aging on hockey helmet impact attenuation. A longitudinal study (2001–2007) was performed on five models of ice hockey helmet to investigate the effects of aging on these helmets’ impact attenuation characteristics. Helmets were tested on the date of manufacture and years two and six (Y0, Y2, and Y6). The five brands (Nike-Bauer-3000, Nike-Bauer-4000, Nike-Bauer-5000, CCM-HT500, and Jofa-690) were evaluated according to ASTM 1045-99 protocol, impacting four sites: the crown, front, rear, and side. All helmets were stored at ambient temperatures 20±4°C and relative humidity between 10 and 50%. Helmets in Y2 and Y6 did not have prior impacts before testing. Peak acceleration (PA, g) and severity index (SI) were calculated for third impacts and compared between years. In general, PA and SI measures remained within safety criteria levels for all helmets and sites during all testing intervals (that is, all met certification standards). Though some specific helmet/site differences were noted, no substantial change in impact attenuation was observed. Visual inspection of helmets postimpact showed no conspicuous damage to liner or shell, though in several instances the binding glue had disintegrated allowing liners to shift or fall away from the shell. From these results, contemporary ice hockey helmets retain their robust impact attenuation characteristics even after several years of storage, though adhesive embrittlement needs to be addressed. Further testing should evaluate the viability of used helmets in a similar prospective manner to ensure safe helmet function.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".