Evidence map›Paper›PMID 42201913›Full record

ArticlePloS one2026

Motorization and its consequences: A mixed-methods study on the epidemiology, impact, and stakeholder perspectives of road traffic injuries among undergraduate two-wheeler riding students in Nepal.

Nikita Bhattarai, Diksha Pokhrel, Pranil Man Singh Pradhan, Sunil Kumar Joshi

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

Nikita BhattaraiDepartment of community medicine, Kathmandu Medical College, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-4036-5007
Diksha PokhrelDepartment of community medicine, Kathmandu Medical College, Kathmandu, Nepal.
Pranil Man Singh PradhanDepartment of Community Medicine and Public Health, Maharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-0066-8583
Sunil Kumar JoshiDepartment of community medicine, Kathmandu Medical College, Kathmandu, Nepal.ORCID https://orcid.org/0000-0002-2704-5060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMotorization has undeniably enhanced mobility and convenience, but it comes at a significant cost, as the increasing number of vehicles has led to a surge in road traffic injuries (RTIs) now a major global cause of disability and death. Over the past decade, the significant growth in two-wheelers has coincided with a rise in RTIs, creating an increasing concern for young individuals. This mixed-method study aims to explore epidemiology, assess their impact on undergraduate students, and gather key recommendations from stakeholders to improve road safety and reduce injury rates. METHODOLOGY: The quantitative data collection was conducted among undergraduate students in the four colleges in Kathmandu district. The total number of participants in this study was 1217 students of 17-31 years of age. Furthermore, for the qualitative data collection, 5 Key informant interviews were conducted among various stakeholders.

resultsThe prevalence of RTI in 2021-2022 was 23%. The most common injuries were bruises in the upper and lower limbs. It was seen that only 78% of the respondents had a driving license. The injuries led to academic loss and caused financial strain due to healthcare and vehicle repair expenses. 5 key recommendations to decrease the ever-increasing burden of RTI have emerged from the qualitative data analysis.

conclusionThe study highlighted a high prevalence and impact of RTIs among undergraduate students along with 5 key recommendations that came forward from this study could be instrumental for road safety in Nepal.

Indexed as

Accidents, TrafficAutomobile DrivingMotorcyclesStudentsWounds and InjuriesAdolescentAdultFemaleHumansMaleNepalUniversitiesYoung Adult

Identifiers

PMID42201913
PMCPMC13215494

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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.