Evidence map›Paper›PMID 37525652›Full record

ArticleBulletin of emergency and trauma2023

Exploring the Causal Impact of Age and Nighttime Driving on Road Traffic Injuries among Elderly Drivers: A Bayesian LASSO Approach.

Fatemeh Jahanjoo, Homayoun Sadeghi-Bazargani, Seyyed Teymoor Hosseini, Mina Golestani, Mahdi Rezaei, Kavous Shahsavarinia, Hamid Soori, Mohammad Asghari-Jafarabadia

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Article in Bulletin of emergency and trauma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fatemeh JahanjooRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Homayoun Sadeghi-BazarganiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Seyyed Teymoor HosseiniDepartment of Engineering Traffic and Transportation, Faculty of the Traffic, Tehran University, Tehran, Iran.
Mina GolestaniRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mahdi RezaeiRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Kavous ShahsavariniaEmergency Medicine Research Team, Tabriz University of Medical, Tabriz, Iran.
Hamid SooriFaculty of Medicine, Cyprus International University, Nicosia 99258, North Cyprus.
Mohammad Asghari-JafarabadiaRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the causal relationship between aging and nighttime driving and the odds of injury among elderly drivers. Methods: In this cross-sectional study, 5460 car accidents were investigated from 2015 to 2016. The data were extracted from the Iranian Integrated Road Traffic Injury Registry System. Pedestrian accidents, motorcycle crashes, and fatalities were excluded from the study. To account for major confounders, Bayesian-LASSO, and treatment-effect cutting-edge approaches were used. Results: Overall, 801 injuries (14.67%) were evaluated. The results of the univariable analysis indicated that aging and nighttime had adverse effects on the odds of road traffic injuries (RTIs), even after adjusting for the effect of other variables, these effects remained statistically significant. According to a newly developed approach, the overall effects of aging and nighttime were significantly and directly correlated with the odds of being injured for older adults (both Conclusion: Aging and nighttime driving are significant risk factors for RTIs among elderly drivers. This highlights the importance of implementing targeted interventions to enhance road safety for this vulnerable population. Furthermore, the use of advanced Bayesian-LASSO and treatment-effect statistical methods highlights the importance of utilizing sophisticated methodologies in epidemiological research to effectively capture and adjust for potential confounding factors.

Indexed as

Accident; Traffic accidentsBayesian estimationCausal effectRegularization algorithm

Identifiers

PMID37525652
PMCPMC10387334

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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.