Evidence map›Paper›PMID 32909516›Full record

ArticleJournal of applied gerontology : the official journal of the Southern Gerontological Society2021

Older Driver Crash Involvement and Fatalities, by Age and Sex, 2000-2017.

Kendra L Ratnapradipa, Caitlin N Pope, Ann Nwosu, Motao Zhu

Abstract read
In one paragraph

Article in Journal of applied gerontology : the official journal of the Southern Gerontological Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

4 authors.

Kendra L RatnapradipaUniversity of Nebraska Medical Center, Omaha, NE, USA.ORCID 0000-0003-0265-2400
Caitlin N PopeUniversity of Kentucky, Lexington, KY, USA.
Ann NwosuNationwide Children's Hospital, Columbus, OH, USA.
Motao ZhuNationwide Children's Hospital, Columbus, OH, USA.

Funding

Do Cell Phone Laws Reducing Calling, Texting, and Crashes Among Young DriversR01HD074594 · NICHD · WEST VIRGINIA UNIVERSITY · PI ZHU, MOTAO · 2013 to 2021
$2.0M
Licensing Laws, Mobility, and Traffic Safety among Older AdultsR01AG050581 · NIA · WEST VIRGINIA UNIVERSITY · PI ZHU, MOTAO · 2015 to 2019
$1.0M
NIA NIH HHS R01 AG050581NICHD NIH HHS R01 HD074594
6 · The paper itself

Abstract

Federal reporting of crash fatalities has limited age-by-sex stratification, but both age and sex are associated with driving reduction and cessation. We described older driver fatal crash involvement and fatalities using Fatality Analysis Reporting System data to calculate rates (per 100,000 licensed drivers, per 100,000 population) with age-by-sex stratifications. Nationally from 2000 through 2017, 110,422 drivers 65+ were involved in crashes resulting in at least one death within 30 days, and 67,843 of these older drivers died. Involvement and fatality rates per 100,000 licensed drivers in 2017 were lowest for females 65-69 (7.7 and 3.6, respectively) and highest for males age 85+ (34.3 and 25.5, respectively). Females had lower driver fatal crash involvement and fatality rates throughout the lifespan, even when rates generally decreased over time. Elaborating fatal crash trends and rates by age and sex helps to differentiate the public health burden of older driver crashes and fatalities.

Indexed as

Accidents, TrafficAutomobile DrivingAged, 80 and overAge FactorsFemaleHealth BehaviorHumansMalePublic Healthcrash involvementdriver fatality ratesFARSmotor vehicle fatalitytrend

Identifiers

PMID32909516
PMCPMC7943652

What OpenQuestion holds

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Registered trials

None linked

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.