ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2025
Exploring the knowledge and practices on road safety measures among motorbikers in Dhaka, Bangladesh: a cross-sectional study.
Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Article
- Mothers' Knowledge of and Practices Toward Oral Hygiene of Children Aged 5-9 Years in Bangladesh: Cross-Sectional Study.JMIRx med · 2025Article
- Factors associated with road traffic injury in a high-risk zone of Bangladesh: a mixed-method study.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025Article
- Analyzing the Prevalence of and Factors Associated with Road Traffic Crashes (RTCs) among Motorcyclists in Bangladesh.TheScientificWorldJournal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRoad traffic injuries (RTIs), particularly motorbike injuries, are one of the leading causes of death worldwide and have been a serious concern in low- and middle-income countries like Bangladesh. Therefore, this study aimed to assess the level of knowledge and practices on road safety measures among motorbikers in Dhaka, Bangladesh.
methodsThis cross-sectional study was conducted from January 2022 to December 2022 among 350 motorbikers of Dhaka city via a series of face-to-face interviews. Motorbikers who regularly ride a motorcycle were interviewed about their road safety knowledge and practices through a two-stage cluster sampling technique. Frequency distribution, independent sample t-test and one-way analysis of variance (ANOVA) were performed in data analysis.
resultsOut of the 350 motorbikers, only 54.6% had good knowledge and 16.9% had poor knowledge on the signs and safety regulations of roads. Moreover, only 50.6% of respondents followed good practices while 23.4% followed poor practices of road safety measures. One-way ANOVA analysis demonstrates that the average knowledge score was significantly (p<0.05) higher among higher-educated, unmarried and non-smokers. Additionally, higher education level, non-smoking status and being Muslim were significantly (p<0.05) associated with good road safety practices.
conclusionsThe overall good knowledge level and practices of road safety measures among the motorbikers was not satisfactory although the majority of them knew individual signs and regulations. Therefore, this study suggests that education and strict enforcement of traffic rules may increase their knowledge and practice behaviour regarding road safety which in turn would minimise traffic injuries and fatalities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.