Evidence map›Paper›PMID 35070909›Full record

ArticleInternational journal of critical illness and injury science

An assessment of measures to reduce injuries and mortality among motorcyclists: A cross-sectional survey-based study.

Hadi Fadaei, Elaheh Ainy, Roghayeh Paydar

Open access · greenAbstract read
In one paragraph

Article in International journal of critical illness and injury science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Hadi FadaeiDepartment of Geography, Amin Police University, Tehran, Iran.
Elaheh AinyDepartment of Vice Chancellor Research Affairs, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Roghayeh PaydarTobacco Control Research Center, Iranian Anti-Tobacco Association, Shahid Beheshti University of Medical Siences, Tehran, Iran.
Iranian Orthopedic Association · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMotorcyclists are one of the most vulnerable groups in road accidents. This study aimed to investigate the effective measures to reduce injuries and deaths in the most vulnerable road users' motorcyclists in 2020.

methodsThe study was a cross-sectional study. In this study, 147 motorcycles were randomly selected from the list of all motor courier units in Tehran, which was prepared through an internet search. The required information was collected through questionnaires and interviews. The inclusion criteria had a minimum high school education and an age range of 18-65 years. The trained questioners referred to the selected courier offices and after obtaining consent to participate in the study, project questionnaire were completed.

resultsThe mean age of subjects was 31.4 ± 8.0 years. All subjects were male. The purpose of the trip was going to work (84.4%). The highest percentage of leaving home time (94.6%) was observed in the morning. More than half of the subjects had a history of accidents (54.5%), and also more than half of the subjects (54.0%) had a history of an accident in their 2

conclusionIn the viewpoint of the motorcyclist, separating the motorcycle lines could be one of the most effective measurements to injury reduction. Hence, officials and planners need to pay more attention to the logical demands of motorcyclists.

Indexed as

Accidental injuriesdeathmotorcyclestraffic accidents

Identifiers

PMID35070909
PMCPMC8725810
OpenAlexW4206965401

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.