Evidence map›Paper›PMID 34948867›Full record

ArticleInternational journal of environmental research and public health2021

Sex Differences in the Amount and Patterns of Car-Driving Exposure in Spain, 2014 to 2017: An Application of a Quasi-Induced Exposure Approach.

José Mateos-Granados, Luis Miguel Martín-delosReyes, Mario Rivera-Izquierdo, Eladio Jiménez-Mejías, Virginia Martínez-Ruiz, Pablo Lardelli-Claret

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Global, Regional, and National Burden of Road Injuries from 1990 to 2019.International journal of environmental research and public health · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

José Mateos-GranadosDepartment of Preventive Medicine and Public Health, School of Medicine, University of Granada, Avenida de la Investigación 11, 18071 Granada, Spain.
Luis Miguel Martín-delosReyesDepartment of Preventive Medicine and Public Health, School of Medicine, University of Granada, Avenida de la Investigación 11, 18071 Granada, Spain.ORCID 0000-0002-2163-354X
Mario Rivera-IzquierdoDepartment of Preventive Medicine and Public Health, School of Medicine, University of Granada, Avenida de la Investigación 11, 18071 Granada, Spain.ORCID 0000-0001-6159-6037
Eladio Jiménez-MejíasDepartment of Preventive Medicine and Public Health, School of Medicine, University of Granada, Avenida de la Investigación 11, 18071 Granada, Spain.
Virginia Martínez-RuizDepartment of Preventive Medicine and Public Health, School of Medicine, University of Granada, Avenida de la Investigación 11, 18071 Granada, Spain.ORCID 0000-0001-6512-8935
Pablo Lardelli-ClaretDepartment of Preventive Medicine and Public Health, School of Medicine, University of Granada, Avenida de la Investigación 11, 18071 Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We designed a cross-sectional study in Spain, from 2014 to 2017. Our objective was to assess sex-related differences in the amount of driving exposure of car drivers, overall and stratified by the main environment-related driving conditions. We compared the sex distribution across three populations: (1) total number of person-years aged > 18 years; (2) total number of person-years aged > 18 years holding a valid car-driving license; and (3) total number of non-responsible car drivers involved in crashes with another offending driver, stratified by different environmental variables. The quasi-induced exposure approach was applied: the non-responsible drivers were considered as representative of the entire population of drivers on the road at the place and time at which the crash occurred. We calculated the female-to-male odds ratio (OR) by comparing population 2 versus 1, and population 3 versus 2. Finally, we performed separate regression models in population 3 for each environment-related variable as the dependent variable and driver's age and sex as the independent variables. The female-to-male OR for the first comparison was 1.12, but values below 1 were found for extreme age groups. In the second comparison, an OR of 0.50 (0.49-0.51) was found, with progressively lower OR values as age increased. In population 3, women were found to drive less than men in environments known to be high risk (i.e., open roads, night-time, poor light conditions, and weekends). A significant gender gap exists in the amount and type of driving exposure. Although women obtain a driving license more frequently than men, they drive much less and tend to avoid high-risk environments. These results emphasize the need to incorporate a gender perspective in the development and implementation of road safety interventions.

Indexed as

AutomobilesSex CharacteristicsAccidents, TrafficCross-Sectional StudiesFemaleHumansMaleSpaincar-driving exposureenvironmental factorsgender differencesquasi-induced exposuretraffic epidemiology

Identifiers

PMID34948867
PMCPMC8701879

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Registered trials

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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.