Evidence map›Paper›PMID 35521031›Full record

ArticleBulletin of the World Health Organization2022

Effectiveness of a helmet promotion campaign, China.

Peishan Ning, Huiying Zong, Li Li, Peixia Cheng, David C Schwebel, Yang Yang, Lei Yang, Youyou Wu, Min Zhao, Guoqing Hu

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Global, Regional, and National Burden of Road Injuries from 1990 to 2019.International journal of environmental research and public health · 2022
    Article
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, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Huiying ZongDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Li LiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Peixia ChengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
David C SchwebelDepartment of Psychology, University of Alabama at Birmingham, Birmingham, United States of America (USA).
Yang YangDepartment of Biostatistics, University of Florida, Gainesville, USA.
Lei YangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Youyou WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Min ZhaoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.
Guoqing HuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the effectiveness of a 2020 nationwide helmet promotion campaign, in terms of helmet wearing and correct helmet wearing, aimed at electric bike riders and motorcyclists in China. Methods: We obtained 192 hours of film of traffic before (2019) and after (2021) implementation of the campaign at eight road intersections in Changsha, recording cyclist (traditional and electric) and motorcyclist helmet-wearing behaviour during both weekdays and the weekend, and peak and off-peak traffic. We extracted data on rider characteristics and helmet-wearing behaviour. We applied a logistic regression to obtain estimates of helmet wearing and correct helmet wearing, and calculated odds ratios adjusted for rider variables. Findings: We filmed 11 525 cyclists and motorcyclists, 5256 (45.6%) before and 6269 (54.4%) after the campaign. We estimated a substantial increase in the overall percentage of helmet wearing from 8.8% (95% confidence interval, CI: 8.0-9.6) to 62.0% (95% CI: 60.8-63.2). After controlling for covariates, we noted that helmet wearing increased in all groups. However, we observed a decrease in the overall percentage of correct helmet wearing from 91.9% (95% CI: 89.4-94.3) to 83.5% (95% CI: 82.3-84.7). Post-campaign, we estimated the highest percentage of helmet wearing for delivery riders (88.8%) and lowest for traditional cyclists (3.8%); we estimated the lowest percentage of correct helmet wearing for three-wheeled motorcyclists (58.8%). Conclusion: To increase helmet wearing and correct helmet wearing, we recommend amending the campaign to include traditional cyclists as well as education and legislation on the correct fastening of helmet chinstraps.

Indexed as

BicyclingHead Protective DevicesAccidents, TrafficChinaHumansLogistic ModelsOdds Ratio

Identifiers

PMID35521031
PMCPMC9047425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.