Evidence map›Paper›PMID 39464850›Full record

ArticleBulletin of the World Health Organization2024

Behaviour of motorcyclists and bicyclists before and after a road safety campaign, China.

Peishan Ning, Ruisha Peng, Huiying Zong, David C Schwebel, Cifu Xie, Jieyi He, Peixia Cheng, Li Li, Zhenzhen Rao, Guoqing Hu

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Peishan NingDepartment of Epidemiology and Health Statistics; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China.
Ruisha PengDepartment of Epidemiology and Health Statistics; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China.
Huiying ZongMedical Records Management and Statistical Information Center, Xiangya Hospital, Central South University, Changsha, China.
David C SchwebelDepartment of Psychology, University of Alabama at Birmingham, Birmingham, United States of America.
Cifu XieChangsha Center for Disease Control and Prevention, Changsha, China.
Jieyi HeClinical Trials Center, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Peixia ChengDepartment of Child, Adolescent and Women's Health, School of Public Health, Capital Medical University, Beijing, China.
Li LiDepartment of Epidemiology and Health Statistics; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China.
Zhenzhen RaoDepartment of Epidemiology and Health Statistics; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China.
Guoqing HuDepartment of Epidemiology and Health Statistics; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, 172 Tongzipo Road, Changsha, 410013, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine changes in red-light running and distracted riding among motorcyclists and cyclists before and after the 2020 implementation of the One Helmet, One Seatbelt campaign in China. Methods: We obtained 192 hours of film before (2019) and after (2021) implementation of the campaign in eight road intersections in Changsha. We calculated percentages and ratios of red-light running and distracted riding. To assess the associations between these traffic behaviours and the campaign, we used multivariable logistic regression models to calculate adjusted odds ratios (aOR). Findings: We filmed 5256 motorcyclists and cyclists in 2019 and 6269 in 2021. Red-light running decreased from 45.1% to 41.5% during this period (ratio: 0.92; 95% confidence interval, CI: 0.88-0.96), while distracted riding increased from 3.5% to 5.0% (ratio: 1.42; 95% CI: 1.19-1.69). After adjusting for covariates, male riders were more likely to run a red light compared to female riders (aOR: 1.28; 95% CI: 1.06-1.55). Red-light running was also more likely among electric bicycle riders (aOR: 1.46; 95% CI: 1.10-1.95) and motorcyclists (aOR: 1.47; 95% CI: 1.13-1.90) compared to traditional cyclists. All types of riders were less prone to run a red light during peak hours than off-peak hours (aOR: 0.85; 95% CI: 0.73-0.99). Distracted riding was more common on weekends compared to weekdays (aOR: 3.01; 95% CI: 2.02-4.49). Conclusion: China's national road safety campaign, which focuses on helmet and seatbelt use, was associated with reduced red-light running. Strict enforcement and targeted modifications could improve the campaign's effectiveness.

Indexed as

Accidents, TrafficBicyclingMotorcyclesSafetyAdultChinaDistracted DrivingFemaleHead Protective DevicesHealth PromotionHumansMaleSeat Belts

Identifiers

PMID39464850
PMCPMC11500252

What OpenQuestion holds

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LicenceCC BY
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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.