Evidence map›Paper›PMID 40688807›Full record

ArticleBulletin of emergency and trauma2025

Influencing Factors on Students' Pedestrian Safety Behavior: A Descriptive Analytical Study.

Marzeyeh Soleymani Nejad, Fatemeh Estebsari, Mahmoud Abbasi, Marzieh Latifi

Abstract read
In one paragraph

Article in Bulletin of emergency and trauma, 2025. 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
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.

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

4 authors.

Marzeyeh Soleymani NejadMedical Ethics and Law Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh EstebsariDepartment of Operating Room and Anesthesia, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahmoud AbbasiMedical Ethics and Law Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Marzieh LatifiMedical Ethics and Law Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to identify the factors influencing pedestrians' preventive behaviors regarding road traffic safety among students at Shahid Beheshti University of Medical Sciences (SBMU), using the Health Belief Model (HBM) as a framework. Methods: In 2022, a total of 337 SBMU students were selected using a multi-stage sampling method. Data were collected using a 45-item questionnaire based on HBM constructs: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, and behavior. The questionnaire was distributed electronically via SBMU's social media channels. Data analysis was performed using SPSS software (version 18). Results: The mean age of the participants was 26.68±2.8 years. The most significant influential factor was family (94.3%), followed by social media. Among HBM constructs, perceived susceptibility had the highest mean score. A one-point increase in perceived susceptibility, perceived benefits, and cues to action scores significantly increased the likelihood of adherence to safe pedestrian behavior (β=0.06, Conclusion: Family and social media play a crucial role in shaping students' perceptions of road traffic safety. Enhancing perceived susceptibility and benefits, as well as providing effective cues to action, can significantly promote preventive behaviors among students.

Indexed as

Pedestrian behaviorPreventive behaviorsRisk perceptionRoad traffic safety

Identifiers

PMID40688807
PMCPMC12275171

What OpenQuestion holds

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LicenceCC BY-NC
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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.