Evidence map›Paper›PMID 27547704›Full record

ArticleInjury epidemiology2016

Mortality from motorcycle crashes: the baby-boomer cohort effect.

Victor Puac-Polanco, Katherine M Keyes, Guohua Li

Abstract read
In one paragraph

Article in Injury epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Epidemiologic study of traffic crash mortality among motorcycle users in Iran (2011-2017).Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2020
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Victor Puac-PolancoEpidemiology Department, Columbia University in the City of New York, New York, NY USA.
Katherine M KeyesEpidemiology Department, Columbia University in the City of New York, New York, NY USA.
Guohua LiDepartments of Anesthesiology and Epidemiology, Columbia University in the City of New York, New York, NY USA.

Funding

Columbia Injury Control Research CenterR49CE002096 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, GUOHUA · 2012 to 2018
$5.5M
Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
ACL HHS R49CE002096NCIPC CDC HHS R49 CE002096NIAAA NIH HHS K01 AA021511
6 · The paper itself

Abstract

backgroundMotorcyclists are known to be at substantially higher risk per mile traveled of dying from crashes than car occupants. In 2014, motorcycling made up less than 1 % of person-miles traveled but 13 % of the total mortality from motor-vehicle crashes in the United States. We assessed the cohort effect of the baby-boomers (i.e., those born between 1946 and 1964) in motorcycle crash mortality from 1975 to 2014 in the United States.

methodsUsing mortality data for motorcycle occupants from the Fatality Analysis Reporting System, we performed an age-period-cohort analysis using the multiphase method and the intrinsic estimator method.

resultsBaby-boomers experienced the highest mortality rates from motorcycle crashes at age 20-24 years and continued to experience excess mortality after age 40 years. After removing the effects of age and period, the estimated mortality risk from motorcycle crashes for baby-boomers was 48 % higher than that of the referent cohort (those born between 1930 and 1934, rate ratio 1.48; 95 % CI: 1.01, 2.18). Results from the multiphase method and the intrinsic estimator method were consistent.

conclusionsThe baby-boomers have experienced significantly higher mortality from motorcycle crashes than other birth cohorts. To reduce motorcycle crash mortality, intervention programs specifically tailored for the baby-boomer generation are warranted.

Indexed as

Baby-boomersCohort effectCrashesMortalityMotorcycle

Identifiers

PMID27547704
PMCPMC4978754

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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.