Road traffic accidents and psychotropic medication use in the Netherlands:a case-control study
AIM To examine the association between the use of commonly prescribed psychotropic medications and road traffic accident risk. METHODS A record-linkage database was used to perform a case-control study in the Netherlands. The data came from three sources: pharmacy prescription data, police traffic accident data and driving licence data. Cases were defined as drivers, who had a traffic accident that required medical assistance between 2000 and 2007. Controls were defined as adults, who had a driving licence and had no traffic accident during the study period. Four controls were matched for each... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2011 |
Reihe/Periodikum: | Ravera , S , van Rein , N , de Gier , J J & de Jong-van den Berg , L T W 2011 , ' Road traffic accidents and psychotropic medication use in the Netherlands : a case-control study ' , British Journal of Clinical Pharmacology , vol. 72 , no. 3 , pp. 505-513 . https://doi.org/10.1111/j.1365-2125.2011.03994.x |
Schlagwörter: | case-control study / pharmacoepidemiology / psychotropic medications / road traffic accidents / MOTOR-VEHICLE COLLISIONS / BENZODIAZEPINE USE / PSYCHOACTIVE MEDICATIONS / MEDICINAL DRUGS / RISK / DRIVERS / IMPACT / CRASH / ANTIDEPRESSANTS / PRESCRIPTIONS |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29607338 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/11370/2acb0586-7eed-4efe-9432-a239f37a199f |
AIM To examine the association between the use of commonly prescribed psychotropic medications and road traffic accident risk. METHODS A record-linkage database was used to perform a case-control study in the Netherlands. The data came from three sources: pharmacy prescription data, police traffic accident data and driving licence data. Cases were defined as drivers, who had a traffic accident that required medical assistance between 2000 and 2007. Controls were defined as adults, who had a driving licence and had no traffic accident during the study period. Four controls were matched for each case. The following psychotropic medicine groups were examined: antipsychotics, anxiolytics, hypnotics and sedatives, and antidepressants stratified in the two groups, SSRIs and other antidepressants. Various variables, such as age, gender, medicine half-life and alcohol use, were considered for the analysis. RESULTS Three thousand nine hundred and sixty-three cases and 18 828 controls were included in the case-control analysis. A significant association was found between traffic accident risk and exposure to anxiolytics (OR = 1.54, 95% CI 1.11, 2.15), and SSRIs (OR = 2.03, 95% CI 1.31, 3.14). A statistically significant increased risk was also seen in chronic anxiolytic users, females and young users (18 to 29 years old), chronic SSRI users, females and middle-aged users (30 to 59 years old), and intermediate half-life hypnotic users. CONCLUSIONS The results of this study support previous findings and confirm that psychoactive medications can constitute a problem in traffic safety. Both health care providers and patients should be properly informed of the potential risks associated with the use of these medicines.