A case-control study estimating accident risk for alcohol, medicines and illegal drugs.

<h4>Background</h4>The aim of the present study was to assess the risk of having a traffic accident after using alcohol, single drugs, or a combination, and to determine the concentrations at which this risk is significantly increased.<h4>Methods</h4>A population-based case-c...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim Paula Colette Kuypers, Sara-Ann Legrand, Johannes Gerardus Ramaekers, Alain Gaston Verstraete
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/3ecfe58defb14c92b5dbaade346205fa
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3ecfe58defb14c92b5dbaade346205fa
record_format	dspace
spelling	oai:doaj.org-article:3ecfe58defb14c92b5dbaade346205fa2021-11-18T07:07:21ZA case-control study estimating accident risk for alcohol, medicines and illegal drugs.1932-620310.1371/journal.pone.0043496https://doaj.org/article/3ecfe58defb14c92b5dbaade346205fa2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22952694/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>The aim of the present study was to assess the risk of having a traffic accident after using alcohol, single drugs, or a combination, and to determine the concentrations at which this risk is significantly increased.<h4>Methods</h4>A population-based case-control study was carried out, collecting whole blood samples of both cases and controls, in which a number of drugs were detected. The risk of having an accident when under the influence of drugs was estimated using logistic regression adjusting for gender, age and time period of accident (cases)/sampling (controls). The main outcome measures were odds ratio (OR) for accident risk associated with single and multiple drug use. In total, 337 cases (negative: 176; positive: 161) and 2726 controls (negative: 2425; positive: 301) were included in the study.<h4>Results</h4>Main findings were that 1) alcohol in general (all the concentrations together) caused an elevated crash risk; 2) cannabis in general also caused an increase in accident risk; at a cut-off of 2 ng/mL THC the risk of having an accident was four times the risk associated with the lowest THC concentrations; 3) when ranking the adjusted OR from lowest to highest risk, alcohol alone or in combination with other drugs was related to a very elevated crash risk, with the highest risk for stimulants combined with sedatives.<h4>Conclusion</h4>The study demonstrated a concentration-dependent crash risk for THC positive drivers. Alcohol and alcohol-drug combinations are by far the most prevalent substances in drivers and subsequently pose the largest risk in traffic, both in terms of risk and scope.Kim Paula Colette KuypersSara-Ann LegrandJohannes Gerardus RamaekersAlain Gaston VerstraetePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 8, p e43496 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kim Paula Colette Kuypers Sara-Ann Legrand Johannes Gerardus Ramaekers Alain Gaston Verstraete A case-control study estimating accident risk for alcohol, medicines and illegal drugs.
description	<h4>Background</h4>The aim of the present study was to assess the risk of having a traffic accident after using alcohol, single drugs, or a combination, and to determine the concentrations at which this risk is significantly increased.<h4>Methods</h4>A population-based case-control study was carried out, collecting whole blood samples of both cases and controls, in which a number of drugs were detected. The risk of having an accident when under the influence of drugs was estimated using logistic regression adjusting for gender, age and time period of accident (cases)/sampling (controls). The main outcome measures were odds ratio (OR) for accident risk associated with single and multiple drug use. In total, 337 cases (negative: 176; positive: 161) and 2726 controls (negative: 2425; positive: 301) were included in the study.<h4>Results</h4>Main findings were that 1) alcohol in general (all the concentrations together) caused an elevated crash risk; 2) cannabis in general also caused an increase in accident risk; at a cut-off of 2 ng/mL THC the risk of having an accident was four times the risk associated with the lowest THC concentrations; 3) when ranking the adjusted OR from lowest to highest risk, alcohol alone or in combination with other drugs was related to a very elevated crash risk, with the highest risk for stimulants combined with sedatives.<h4>Conclusion</h4>The study demonstrated a concentration-dependent crash risk for THC positive drivers. Alcohol and alcohol-drug combinations are by far the most prevalent substances in drivers and subsequently pose the largest risk in traffic, both in terms of risk and scope.
format	article
author	Kim Paula Colette Kuypers Sara-Ann Legrand Johannes Gerardus Ramaekers Alain Gaston Verstraete
author_facet	Kim Paula Colette Kuypers Sara-Ann Legrand Johannes Gerardus Ramaekers Alain Gaston Verstraete
author_sort	Kim Paula Colette Kuypers
title	A case-control study estimating accident risk for alcohol, medicines and illegal drugs.
title_short	A case-control study estimating accident risk for alcohol, medicines and illegal drugs.
title_full	A case-control study estimating accident risk for alcohol, medicines and illegal drugs.
title_fullStr	A case-control study estimating accident risk for alcohol, medicines and illegal drugs.
title_full_unstemmed	A case-control study estimating accident risk for alcohol, medicines and illegal drugs.
title_sort	case-control study estimating accident risk for alcohol, medicines and illegal drugs.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/3ecfe58defb14c92b5dbaade346205fa
work_keys_str_mv	AT kimpaulacolettekuypers acasecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs AT saraannlegrand acasecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs AT johannesgerardusramaekers acasecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs AT alaingastonverstraete acasecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs AT kimpaulacolettekuypers casecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs AT saraannlegrand casecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs AT johannesgerardusramaekers casecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs AT alaingastonverstraete casecontrolstudyestimatingaccidentriskforalcoholmedicinesandillegaldrugs
_version_	1718423910997819392

A case-control study estimating accident risk for alcohol, medicines and illegal drugs.

Ejemplares similares