Evidence map›Paper›PMID 35421975›Full record

ArticleBMC public health2022

Demographics of road injuries and micromobility injuries among China, India, Japan, and the United States population: evidence from an age-period-cohort analysis.

Yudi Zhao, Jinhong Cao, Yudiyang Ma, Sumaira Mubarik, Jianjun Bai, Donghui Yang, Kai Wang, Chuanhua Yu

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Diverging trends in motor neuron disease burden in China: an ageing-driven increase despite declining age-standardised rates - a GBD 2021 analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Yudi ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Jinhong CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Yudiyang MaDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Sumaira MubarikDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Jianjun BaiDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Donghui YangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Kai WangDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China.
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China. yuchua@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicromobility sharing platforms have involved skyrocketing numbers of users in multiple countries since 2010. However, few studies have examined the overall impact of the growing micromobility market on road injuries.

methodWe use road injury data from the Global Burden of Disease Study database to examine the effect of age, period, and cohort on micromobility injury-related deaths and incidence. We compared four countries that vary in demographic background and road infrastructure. By comparing the countries, we analyzed the relationship between the trends in road injuries and these factors.

resultsWe found an overall upward trend in micromobility injuries. A higher risk of micromobility-related injuries was witnessed in China and the US in 2015-2019, and people older than 45 showed a growing micromobility-related mortality and incidence rate in China, India, and the US. Cohorts after 1960 showed higher micromobility injury incidence risks in China and India, but the population born after 1990 in India showed a slightly lower risk compared to those before it.

conclusionsThe boosted usage of micromobility devices explains these increasing trends. Road infrastructure and separated traffic ease the collisions from micromobility devices. The overall situation calls for improvement in legislation as well as road infrastructure.

Indexed as

Accidents, TrafficWounds and InjuriesChinaCohort StudiesHumansIncidenceJapanUnited StatesAsiaMicromobilityRoad traffic injuriesTraffic fatalitiesUnited States

Identifiers

PMID35421975
PMCPMC9011927

What OpenQuestion holds

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LicenceCC BY
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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.