Victoria A F Luther, Delia Ab Bandoh, Adolphina A Addo-Lartey
{"title":"Prevalence of motorcycle accidents and associated factors among road traffic accident victims in Accra, Ghana.","authors":"Victoria A F Luther, Delia Ab Bandoh, Adolphina A Addo-Lartey","doi":"10.4314/gmj.v59i1.1","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study determined the prevalence of motorcycle accidents and associated risk factors in Accra, Ghana.</p><p><strong>Design: </strong>Cross-sectional.</p><p><strong>Setting: </strong>Legon, Pentecost, Madina, and Kekele hospitals, Motor Transport and Traffic Unit offices in Accra, and Kaneshie District Court. Data were collected using structured questionnaires.</p><p><strong>Participants: </strong>Road traffic accident victims (387), aged 15 years and above, were randomly selected from health facilities' registers and interviewed.</p><p><strong>Main outcome measure: </strong>Number of road traffic accidents involving motorcycles.</p><p><strong>Results: </strong>The prevalence of motorcycle accidents among road traffic accidents was 37% [95% CI: 32.0-42.0]. Motorcycle accidents predominantly occurred among people aged 15-25 and 26-35 years. The prevalence among men was 38% while women reported 24% [95% CI: 85.0-91.0]. Motorcycle accident occurrence was higher (63% vs 10%) among those earning < GH₵349 ($22.37) a month compared to those earning above GH₵3000 ($192.31). After adjusting for all the factors that showed association at the univariate level and potential confounders like sex, followed by post-estimation analysis and a Hosmer-Lemeshow goodness of fit test, factors that were significantly associated with motorcycle accidents included ownership [AOR:2.32, p=0.018 95%CI: 1.16-4.65], education level [AOR=1.48, p=0.020 95%CI: 1.06-2.05], motor license [AOR=132.74, p<0.001 95%CI: 17.56-1003.62], and income level [AOR=0.65, p=0.002 95%CI: 0.50-0.85].</p><p><strong>Conclusion: </strong>Motorcycle accidents remain prevalent and significantly related to income level, ownership level, education level, and having a motor license. To reduce motorcycle accidents, governments must implement policies that address these factors and support safer road practices.</p><p><strong>Funding: </strong>None declared.</p>","PeriodicalId":94319,"journal":{"name":"Ghana medical journal","volume":"59 1","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12224126/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ghana medical journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/gmj.v59i1.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: This study determined the prevalence of motorcycle accidents and associated risk factors in Accra, Ghana.
Design: Cross-sectional.
Setting: Legon, Pentecost, Madina, and Kekele hospitals, Motor Transport and Traffic Unit offices in Accra, and Kaneshie District Court. Data were collected using structured questionnaires.
Participants: Road traffic accident victims (387), aged 15 years and above, were randomly selected from health facilities' registers and interviewed.
Main outcome measure: Number of road traffic accidents involving motorcycles.
Results: The prevalence of motorcycle accidents among road traffic accidents was 37% [95% CI: 32.0-42.0]. Motorcycle accidents predominantly occurred among people aged 15-25 and 26-35 years. The prevalence among men was 38% while women reported 24% [95% CI: 85.0-91.0]. Motorcycle accident occurrence was higher (63% vs 10%) among those earning < GH₵349 ($22.37) a month compared to those earning above GH₵3000 ($192.31). After adjusting for all the factors that showed association at the univariate level and potential confounders like sex, followed by post-estimation analysis and a Hosmer-Lemeshow goodness of fit test, factors that were significantly associated with motorcycle accidents included ownership [AOR:2.32, p=0.018 95%CI: 1.16-4.65], education level [AOR=1.48, p=0.020 95%CI: 1.06-2.05], motor license [AOR=132.74, p<0.001 95%CI: 17.56-1003.62], and income level [AOR=0.65, p=0.002 95%CI: 0.50-0.85].
Conclusion: Motorcycle accidents remain prevalent and significantly related to income level, ownership level, education level, and having a motor license. To reduce motorcycle accidents, governments must implement policies that address these factors and support safer road practices.