Data · dataset · 2015
Young age as a predictor of poor road safety practices of commercial motorcyclists in Oyo state, Nigeria
Listed in DataCite
Objective : This study examined the association between young age and poor road safety practices of commercial motorcyclists in Oyo state, Nigeria.
Description
Methods
A cross-sectional study of 371 commercial motorcyclists selected via a multi-stage sampling technique was conducted. Information on socio-demographic characteristics and road safety practices (possession of a valid license, helmet use, number of passengers carried per trip and compliance with ten selected traffic signs) were obtained with the aid of an interviewer-administered questionnaire. Individual road safety practice items were scored and a total score obtained giving minimum and maximum obtainable scores of 0 and 35.
Read the rest (5 more)
Respondents with scores ≤ 17.5 (i.e. less than or equal to half of the maximum obtainable score of 35) were categorized as having poor road safety practices. Descriptive statistics, chi-square and multiple logistic regression tests were conducted. Selected socio-demographic and occupation-related factors were controlled for in the logistic regression analysis.
Results : All respondents were male, 80.1% had been riding for commercial purposes for less than five years and 73.0% had other jobs in addition to commercial riding. Road safety practices were generally poor as 84.4% of commercial riders were categorized as having poor road safety practices. Almost all (98.6%) respondents aged < 25 years compared to 84.3% of those aged 25 to < 35 years and 76.8% of those ≥ 35 years had poor road safety practices.
This difference was statistically significant. Following logistic regression, younger age (<25 years) remained predictive of poor road safety practices. Motorcyclists aged < 25 years had about 16 times higher odds of having poor road safety practices compared to those aged 35 years and more (OR = 15.72, 95% CI =1.82 – 135.91).
Conclusion : Most studies conduct only bivariate analysis to test the association between age and road practices of commercial motorcyclists; however, we investigated the influence of potential confounding variables using multivariate analysis. Our findings confirmed young age as a predictor of poor road safety practices among our sample of commercial motorcyclists and emphasizes the need for road safety programmes to target this category of riders.
The current minimum age for obtaining a riders' license in Nigeria is 18 years, our findings suggest that it might be beneficial to increase the age at which riders in our study area can obtain a commercial riders' license to above 25 years.
Links
Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Young_age_as_a_predictor_of_poor_road_safety_… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.1285812.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/15389588.2014.1001842 doi.org/10.1080/15389588.2014.1001842 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.1285812.v1 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.1285812.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Health sciences
Related
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.1285812.v1 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:health-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['Biological Sciences'] |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |