Evidence map›Paper›PMID 37033749›Full record

ArticleIndian journal of occupational and environmental medicine

Driving Fine and its Relationship with Dangerous Driving Behaviour Among Heavy Vehicle Drivers.

Masoud Motalebi Kashani, Hossein Akbari, Hamidreza Saberi, Reihaneh Ghorbanipour, Fahimeh Karamali

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In one paragraph

Article in Indian journal of occupational and environmental medicine. 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 80% 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, 0 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

5 authors at 2 institutions in 1 country.

Masoud Motalebi KashaniSocial Determinant of Health Research Center, Kashan, Iran.
Hossein AkbariTrauma Research Center, Kashan, Iran.
Hamidreza SaberiSocial Determinant of Health Research Center, Kashan, Iran.
Reihaneh GhorbanipourDepartment of Occupational Health, School of Health, Tehran University of Medical Sciences, Tehran, Iran.
Fahimeh KaramaliDepartment of Health, Safety and Environmental Management, School of Health, Kashan University of Medical Sciences, Kashan, Iran.
Kashan University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: There is a significant difference between actual and existing statistics of traffic fines; since some invisible fines and most of the visible traffic violations cannot be recorded by traffic officers. Therefore, dealing with driving fines and road fatalities is considered an important issue in social and public management worldwide. Aims: Explore the factors associated with unsafe behaviors and getting traffic fines among a sample of Iranian heavy-vehicle professional drivers. Settings and Design: The present cross-sectional study was conducted in Iran, from February 2019 to September 2020. Methods and Material: This study used the driver behavior questionnaire (DBQ), demographic and driving characteristics, the number of fines, and structural equation modeling. Also, in this study 320 professional drivers participated. Statistical Analysis Used: This article used structural equation modeling for Statistical analysis. Results: The results of structural equation modeling analysis indicated that the data fit well with the theoretical model proposed in this study. The number of fines was directly predicted by both demographic and driving characteristics and risky driving behaviors. A significant relationship was observed between, driving hours, driving experience, and smoking, respectively, with a mistake, slip, and risky violation. There was a negative correlation between education and all four sub-scales of risky driving behaviors. Conclusions: In order to reduce traffic fines, training courses on increasing attention and precision in drivers' observations and judgments are useful. The courses can decrease traffic violations by trying to change beliefs, attitudes, and social norms. It is therefore helpful to understand the ways to change the drivers' attitudes.

Indexed as

Aberrant driving behaviorsprofessional driversstructural equation modelingtraffic fines

Identifiers

PMID37033749
PMCPMC10077724
OpenAlexW4312985095

What OpenQuestion holds

Textmetadata
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.