Evidence map›Paper›PMID 36568717›Full record

ArticleBulletin of emergency and trauma2022

The Prevalence of Crash and Associated Factors Among Commercial Motorcyclist in Owo, Western Nigeria.

Anthony Ayotounde Olasinde, Kehinde Sunday Oluwadiya

Open access · greenAbstract read
In one paragraph

Article in Bulletin of emergency and trauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 1 country.

Anthony Ayotounde OlasindeDepartment of Orthopaedic Surgery and Traumatology, Federal Medical Centre, Owo, Ondo State, Western Nigeria.
Kehinde Sunday OluwadiyaCollege of Medicine, Ekiti State University, Ado-Ekiti, Ekiti state, Nigeria.
Ekiti State University · NGFederal Medical Centre · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the prevalence of crash and associated factors among commercial motorcyclists in Owo, Ondo State, Nigeria. Methods: This study is a descriptive cross-sectional study. Data was collected by using pre-tested structured questionnaires administered to commercial motorcyclists. Collected information was socio-demographic characteristics of the respondents, riding experience, formal training, possession of valid drivers' licence, motorcycle ownership status, mobile phone usage, history of crash in the previous one year, riding hours per day, helmet use, carrying more than one passenger, riding against traffic and daily income. Results: The study were enrolled 502 individuals with a mean age of 31.5±8.7. The ratio of men to women was 250:1. All respondents who admitted to engage in the study had at least one risky behaviour in the past (95.4% admitted to transporting one passenger more than the legal) and 56.6% admit to a prior history of traffic offences. The crashes' predictive factors include respondent age, cell phone use while riding, prior traffic offences, carrying more than one pillion rider, use of stimulants such as kolanut and bitter kola, alcohol drink riding, and admission of fault in the prior of crashes. Conclusion: Commercial motorcyclists in Owo, Ondo State Nigeria engaged in risky behaviours that raised their likelihood of being involved in crashes. The objectives of public enlightenment and driver education at these behaviours could help to reduce the occurrence of crashes among them.

Indexed as

BehavioursCrashesMotorcyclistsRisk taking

Identifiers

PMID36568717
PMCPMC9758705
OpenAlexW4312210650

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.