Evidence map›Paper›PMID 30964865›Full record

ArticlePloS one2019

Comparison of traffic collision victims between older and younger drivers in South Korea: Epidemiologic characteristics, risk factors and types of collisions.

Jae Yun Ahn, Hyun Wook Ryoo, Jung Bae Park, Jong Kun Kim, Mi Jin Lee, Dong Eun Lee, Kang Suk Seo, Yun Jeong Kim, Sungbae Moon

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Determinants and Prediction of Injury Severities in Multi-Vehicle-Involved Crashes.International journal of environmental research and public health · 2021
    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

9 authors.

Jae Yun AhnDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.ORCID 0000-0002-1050-8575
Hyun Wook RyooDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.ORCID 0000-0002-1361-9887
Jung Bae ParkDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Jong Kun KimDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Mi Jin LeeDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Dong Eun LeeDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Kang Suk SeoDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, South Korea.
Yun Jeong KimDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea.
Sungbae MoonDepartment of Emergency Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to show the epidemiological characteristics and the difference in the risk factors and types of collision between older and younger drivers in Korea.

methodsWe collected data from the Emergency Department-based Injury In-depth Surveillance retrieved by the Korea Centers for Disease Control and Prevention from 2011 to 2015. We included injured drivers aged ≥ 18 years who were registered in the database, who were limited to drivers of four-wheeled vehicles. The enrolled patients were divided according to age into older (≥ 65 years) and younger (< 65 years) drivers. The total number of enrolled drivers was 37,511; 2,361 (6.3%) of them were older drivers. The epidemiological characteristics (e.g., age, sex, fatality rate) of traffic collision victims for 5 years were determined, and the risk factors (e.g., seat belt use) and types of collision (single- vs. multi-vehicle) between the two groups were compared.

resultsThe median age and interquartile range (IQR; 25th and 75th percentiles) of all drivers were 41.0 (IQR, 32.0-52.0), and 24,544 (65.4%) of them were men. The median age increased from 40.0 (IQR, 31.0-50.0) to 43.0 (IQR, 33.0-54.0) between 2010 and 2015 (P < 0.001). The proportion of older drivers increased from 5.0% to 8.4% annually during the study period (P < 0.001). Between 2010 and 2015, the fatality rate decreased from 3.1% to 1.2% (P = 0.287) for older drivers and from 0.9% to 0.5% (P = 0.009) for younger drivers. The proportion of single-vehicle collision (25.9% vs. 20.3%) was higher in older than in younger drivers (P < 0.001). Older drivers had a lower rate of seat-belt use than younger drivers (79.0% vs. 83.0%, P < 0.001).

conclusionsThe proportion of older drivers increased annually during the study period, and older drivers experienced more single-vehicle collision and used seat belt less frequently than younger drivers. A national policy support to reduce traffic collision in older drivers and public relation activities to enhance their seat belt use should be strengthened in the future.

Indexed as

Accidents, TrafficAutomobile DrivingAdolescentAdultAgedAge FactorsEmergency Service, HospitalFemaleHumansInjury Severity ScoreMaleMiddle AgedRepublic of KoreaRisk FactorsSeat BeltsYoung Adult

Identifiers

PMID30964865
PMCPMC6456194

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LicenceCC BY
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Registered trials

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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.