Evidence map›Paper›PMID 42305644›Full record

ArticlePublic health in practice (Oxford, England)2026

The rising burden of non-motor vehicle crashes: An emerging challenge for road traffic injury prevention in China, 1997-2023.

Ruibing Deng, Shuxian Yu, Jiexuan Lin, Zhaojing Yang, Wanbao Ye

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2026. 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

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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

5 authors.

Ruibing DengSchool & Hospital of Stomatology, School of Medicine, Foshan University, Foshan, 528000, China.
Shuxian YuCancer Hospital of Shantou University Medical College, Shantou, 515063, China.
Jiexuan LinDepartment of Nursing, Shantou University Medical College, Shantou, 515063, China.
Zhaojing YangThe First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Wanbao YeCancer Hospital of Shantou University Medical College, Shantou, 515063, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate preventive achievements and identify emerging trends and challenges regarding road traffic injuries (RTIs) in China from 1997 to 2023. Study design: Ecological trend study. Methods: Data on road traffic crashes, injuries, and deaths were extracted from China's National Bureau of Statistics. Joinpoint regression analysis was employed to identify significant temporal trends and compute the annual percentage change (APC) and average annual percentage change (AAPC). All outcome variables were log-transformed prior to analysis due to skewed distributions, as determined by normality assessment. Results: Over the 27-year period, the number of road traffic crashes and associated casualties showed three distinct phases: a rapid increase until 2001, a significant decline until around 2011, and a subsequent stabilization or slight rebound. While motor vehicle-related incidents initially drove these trends, injuries ( Conclusions: Despite commendable gains in reducing motor vehicle-related RTIs, China now faces the acute challenge of a rising injury burden involving non-motor vehicles. Consequently, future road safety initiatives must be formulated on a holistic approach that integrates enhanced vehicle safety, road infrastructure optimized for vulnerable users, and precise behavioral interventions targeting high-risk populations. The findings provide an evidence base for prioritizing non-motor vehicle safety in China's next phase of road safety strategy and offer methodological insights for similar trend analyses in other low- and middle-income countries experiencing rapid e-bike adoption.

Indexed as

Non-motor vehiclePublic healthRoad safetyTraffic injuryTrend analysis

Identifiers

PMID42305644
PMCPMC13266251

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.