Evidence map›Paper›PMID 36441473›Full record

ArticleJournal of epidemiology and global health2022

Helmet Use Among Two-Wheeler Riders' Road Accident Victims in Benin.

Bella Hounkpè Dos Santos, Alphonse Kpozehouen, Yolaine Glèlè Ahanhanzo, Donatien Daddah, Alain Levêque, Yves Coppieters

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Bella Hounkpè Dos SantosEcole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium. neemamarie@yahoo.fr.ORCID 0000-0002-3379-6151
Alphonse KpozehouenInstitut Régional de Santé Publique, Ouidah, Benin.
Yolaine Glèlè AhanhanzoInstitut Régional de Santé Publique, Ouidah, Benin.
Donatien DaddahEcole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium.
Alain LevêqueEcole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium.
Yves CoppietersEcole de Santé Publique, Université Libre de Bruxelles, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Benin, some riders of two-wheeled vehicles still do not wear helmets, the main protection against head injuries in road accidents. The objective of this study is to describe the characteristics of two-wheeled users, and to determine the factors influencing helmet use among this group.

methodsThis is a prospective cross-sectional study of 977 two-wheeled road accident victims from a cohort. Proportions or means were calculated for the different variables. Statistical comparisons were made to test the association with helmet use. Logistic regression modelling was performed to identify factors associated with helmet use.

resultsAmong all subjects, 81.1% [CI

conclusionThe factors influencing helmet use are gender, reason for travel, length of time as a driver, possession of health insurance, conditions, and visibility of the road on which the subject are driving. These factors are related to experience and appropriation of the notion of risk, but also related to the environment. To increase helmet use among two-wheelers, helmet awareness should take into account the individual factors found in this study. Enforcement actions should be strengthened, and the quality of the roads improved.

Indexed as

Head Protective DevicesMotorcyclesAccidents, TrafficBeninCross-Sectional StudiesFemaleHumansMaleProspective StudiesBeninHelmet useTrauma victimsTwo-wheeler riders

Identifiers

PMID36441473
PMCPMC9723083

What OpenQuestion holds

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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.