Evidence map›Paper›PMID 38923430›Full record

ArticleTraffic injury prevention2024

Comparing alcohol involvement among injured pedalcycle and motorcycle riders across three national public-use datasets.

Kathryn G Burford, Andrew G Rundle, Spiros Frangos, Ashley Pfaff, Stephen Wall, Oluwaseun Adeyemi, Charles DiMaggio

Abstract readComparative Study
In one paragraph

Article in Traffic injury prevention, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kathryn G BurfordDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.
Andrew G RundleDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Spiros FrangosDepartment of Surgery. NYU Grossman School of Medicine, NYC Health & Hospitals/Bellevue, New York, New York.
Ashley PfaffDepartment of Surgery. NYU Grossman School of Medicine, NYC Health & Hospitals/Bellevue, New York, New York.
Stephen WallDepartment of Population Health, NYU Grossman School of Medicine, New York, New York.
Oluwaseun AdeyemiRonald O. Perelman Department of Emergency Medicine, NYU Grossman School of Medicine, New York, New York.
Charles DiMaggioDepartment of Surgery. NYU Grossman School of Medicine, New York, New York.

Funding

Supplemental Training in Making Data FAIR and AI/ML ReadyT32ES007322 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Pam R Factor-Litvak, Allison Kupsco · 2000 to 2026
$12.1M
Identifying alcohol-related and built environment factors that can be modified to prevent pedestrian road traffic deathR01AA028552 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RUNDLE, ANDREW G · 2021 to 2024
$2.6M
NCIPC CDC HHS R49 CE003094NIAAA NIH HHS R01 AA028552NIEHS NIH HHS T32 ES007322
6 · The paper itself

Abstract

backgroundAnnually since 2008; over 38% of fatally injured motorcycle riders and 20% of pedalcyclists involved in traffic crashes were under the influence of alcohol, yet public health surveillance of alcohol involvement in these injuries is underdeveloped. This study determined alcohol involvement among fatally and non-fatally injured pedalcycle and motorcycle riders and compared findings across three national public-use datasets.

methodsUsing the 2019 National Emergency Medical Services Information System (NEMSIS), the Fatality Analysis Reporting System (FARS), and National Electronic Injury Surveillance System (NEISS) datasets, we identified alcohol involvement in fatal and non-fatal injuries to pedalcycle and motorcycle riders (≥21 years). Alcohol involvement was positive based on the clinician's evaluation of alcohol at the scene (NEMSIS) or within the ED record (NEISS); or when Blood Alcohol Content (BAC) values were ≥.01 (FARS). Pedalcycle and motorcycle injuries were identified across datasets using: 1) ICD10 codes for pedalcycle (V10-V19) or motorcycle (V20-V29) within the cause of injury and EMS respondent's impression of the encounter variables (NEMSIS); 2) product codes for bicycles or moped/power-assisted cycle/minibike/two-wheeled, powered, off-road vehicles (NEISS); and 3) American National Standard Institute's classifications for pedalcycle and motorcycle in the person and vehicle type variables (FARS). The descriptive epidemiology was compared across datasets.

resultsThere were 26,295 pedalcyclist and 50,122 motorcycle rider injuries resulting in an EMS response within NEMSIS data; 10.2% and 8.5% of these injuries respectively involved alcohol. These estimates were greater than the 7.3% of pedalcyclist and 6.1% of moped/power-assisted cycle/minibike/two-wheeled, powered, off-road vehicle injuries involving alcohol among patients who presented to an ED within the NEISS dataset. Based on FARS data, alcohol was involved in 27.0% of pedalcyclist and 42.0% of motorcyclist fatal injuries. Regardless of the data source, pedalcyclist and motorcycle fatal and non-fatal injuries were more likely to involve alcohol among middle-aged adults compared to older and early aged adults, and for men compared to women, with proportions that were generally 3-8% higher for men.

conclusionsMeasures for pedalcycle and motorcycle injuries and alcohol involvement vary substantially across national public-use datasets. Standardized, valid, and feasible methods are needed to accurately inform injury prevention efforts.

Indexed as

Accidents, TrafficBicyclingMotorcyclesWounds and InjuriesAdultAgedAlcohol DrinkingBlood Alcohol ContentDatasets as TopicFemaleHumansMaleMiddle AgedUnited StatesYoung AdultBlood Alcohol ContentalcoholbicyclistcyclistInjurymotorcyclistsurveillance

Identifiers

PMID38923430
PMCPMC11560702

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.