The association between road traffic accidents and visual functions: A systematic review and meta-analysis.
association
meta-analysis
road traffic accident
systematic review
vision function
Journal
African journal of primary health care & family medicine
ISSN: 2071-2936
Titre abrégé: Afr J Prim Health Care Fam Med
Pays: South Africa
ID NLM: 101520860
Informations de publication
Date de publication:
09 Aug 2024
09 Aug 2024
Historique:
received:
04
05
2024
accepted:
25
06
2024
revised:
24
06
2024
medline:
2
9
2024
pubmed:
2
9
2024
entrez:
2
9
2024
Statut:
epublish
Résumé
Poor visual functions have been reported to be related to the occurrence of road traffic accidents. To review the association between visual function and road traffic accidents (RTAs) from published relevant empirical studies. Worldwide. A random effects (RE) model meta-analysis was conducted using STATA 18. Statistical tests conducted include meta-summary statistics, RE meta-analysis (forest plot), meta-regression (relationship between mean age and effect sizes), funnel plots, Egger's and Begg's tests for publication bias and small study effects. A total of 17 relevant studies, which were either cross-sectional or observational by design, were included in the meta-analysis. Reported effect sizes were within computed confidence intervals (CI) at 95%. The computed Q test of homogeneity was 61.94. The overall mean effect size of 1.43 (95% CI of 0.985-1.883) was statistically significant at a 5% level (Z = 6.26; p 0.001). The I-squared = 62.17% (p = 0.00) confirmed moderate heterogeneity and the Q-value of 61.94 (p = 0.00) rejected the null hypothesis that the effect size was the same in all the studies. The funnel plot showed that the remaining majority of 13 studies were within the funnel plot on the right-hand side of the line of no effect. These results provide evidence of associations between visual functions and RTAs, and highlight the need for targeted interventions and further research to address the challenges associated with impaired visual functions and road safety.Contributions: The study contributes to the understanding of the implications of visual functions for road safety.
Sections du résumé
BACKGROUND
BACKGROUND
Poor visual functions have been reported to be related to the occurrence of road traffic accidents.
AIM
OBJECTIVE
To review the association between visual function and road traffic accidents (RTAs) from published relevant empirical studies.
SETTING
METHODS
Worldwide.
METHODS
METHODS
A random effects (RE) model meta-analysis was conducted using STATA 18. Statistical tests conducted include meta-summary statistics, RE meta-analysis (forest plot), meta-regression (relationship between mean age and effect sizes), funnel plots, Egger's and Begg's tests for publication bias and small study effects.
RESULTS
RESULTS
A total of 17 relevant studies, which were either cross-sectional or observational by design, were included in the meta-analysis. Reported effect sizes were within computed confidence intervals (CI) at 95%. The computed Q test of homogeneity was 61.94. The overall mean effect size of 1.43 (95% CI of 0.985-1.883) was statistically significant at a 5% level (Z = 6.26; p 0.001). The I-squared = 62.17% (p = 0.00) confirmed moderate heterogeneity and the Q-value of 61.94 (p = 0.00) rejected the null hypothesis that the effect size was the same in all the studies. The funnel plot showed that the remaining majority of 13 studies were within the funnel plot on the right-hand side of the line of no effect.
CONCLUSION
CONCLUSIONS
These results provide evidence of associations between visual functions and RTAs, and highlight the need for targeted interventions and further research to address the challenges associated with impaired visual functions and road safety.Contributions: The study contributes to the understanding of the implications of visual functions for road safety.
Identifiants
pubmed: 39221740
doi: 10.4102/phcfm.v16i1.4601
doi:
Types de publication
Journal Article
Systematic Review
Meta-Analysis
Review
Langues
eng
Sous-ensembles de citation
IM