In contrast, active workers (98.1%, em n /em ?=?819), and people living in towns with no more than 10,000 people stated (99.3%, em n /em ?=?217) they were using medicines for this disorder less CP 316311 frequently. It was not possible to establish a significant relationship between age, type of vehicle, risk exposure, driving experience, reasons for the journey, daylight/night driving, hours of non-stop driving in daily commutes, most frequently type of road, crashes, sanctions over the last 3?years (except parking tickets), risk assumed, and occupation. On the other hand, the percentage of people using CP 316311 medicines to treat insomnia is slightly higher (3.7%). 13.5% were using medicines to treat one of these disorders; while 1.5% used them for a number of of these disorders. A 2.5% of drivers were using medicines to treat depression, 2.6% to treat anxiety, and 3.7% to treat insomnia. The 8.3% of those drivers who were not using any medicines to treat these three disorders were occasionally using some type of tranquilizers. Benzodiazepines and selective serotonin reuptake inhibitors (SSRIs) were the most used type of medicines among drivers. Benzodiazepines were the most used medicines to treat panic, while SSRIs were the most used to treat major depression, 56.5% and 43.5%, respectively. Conclusions Steps can be developed to reduce traffic incidents caused by the results of these medicines; however, this will only be possible once the drivers and the use CP 316311 of these medicines are understood. Health care professionals and individuals should be properly informed about the potential effects of some psychotropic medications on traveling abilities considering individual and group variations. (on the way to or from work), during work, amusement, and/or personal, regardless labor or leisure). Experience/riskThe following are the experiences/risks: ? Years of driving experience. Experience has been defined as the time that this respondent has been driving on a regular basis. This variable is usually complementary to the risk exposure, since both variables are an indicator of learning situations (both positive and negative) that this respondent has been able to experience in their driving history. (Grouped in less than 1?12 months, 1C2 years, 3C10 years, 11C20, 21C30, over 30?years). ? Risky behavior. The risky taking is calculated by five items. The objective of this set of items is to rate drivers for certain risk behaviors (exceeding speed limits and not keep a safe distance, making a rushed or improper pass, driving after drinking alcohol, using a mobile while driving without using a hands-free device). For each behavior considered have applied the classification criteria of risk-no risk used in the study SARTRE 3 , depending on how often they engaged in these actions. Taking these criteria into account, drivers have been classified into three groups: No Risk group: drivers that have not been classified in any of the risk behaviors considered. Medium risk group: drivers who have been classified in one or two risk behaviors considered. High risk group: drivers of risk are classified in more than one of the considered behaviors. ? Traffic violations. Number of penalties received in the last 3?years, excluding parking offenses (none, one, more than one penalty). ? CP 316311 Crash history. Number of accidents occurring throughout a driver’s life, focusing primarily on accidents suffered as a conductor (none, one, more than one accident). Once the data was obtained, the relevant statistical analyses were carried out with the Statistical Package for the Social Sciences (SPSS). Results The results showed that 15% of the participants were consuming psychotropic drugs, to treat depressive disorders, stress disorders, insomnia disorders, or tranquilizers; 13.5% were using drugs to treat one Rabbit Polyclonal to ABHD12 of these disorders; while 1.5% used them for several of these disorders. A 2.5% of drivers were using medicines to treat depression, 2.6% to treat anxiety, and 3.7% to treat insomnia. The 8.3% of those drivers who were not using any drugs to treat these three disorders were occasionally using some type of tranquilizers (7.7% of the total drivers interviewed) (Determine?1). Open in a separate window Physique 1 Percentage distribution of drivers using drugs to treat depressive disorder, anxiety, stress, or tranquilizers. There were statistically significant CP 316311 differences for gender (or classified according to their gender or age. Table 1 Frequency and percentage of people with or without depressive disorder medication classified according to their gender or age or classified according to their gender or age. Table 2 Frequency and percentage of people with or without stress medication classified according to their gender or age or or em without tranquilizers /em . Table 4 Frequency and percentage of different gender and age groups em with /em or em without tranquilizers /em thead valign=”top” th colspan=”2″ align=”left” valign=”bottom” rowspan=”1″ ? hr / /th th colspan=”2″ align=”center” valign=”bottom” rowspan=”1″ With tranquilizers hr / /th th colspan=”2″ align=”center” valign=”bottom” rowspan=”1″ Without tranquilizers hr / /th th colspan=”2″ align=”left” rowspan=”1″ ? /th th align=”center” rowspan=”1″ colspan=”1″ Frequency ( em n /em ?=?92) /th th align=”center” rowspan=”1″ colspan=”1″ Percentage /th th align=”center” rowspan=”1″ colspan=”1″ Frequency ( em n /em ?=?1021) /th th align=”center” rowspan=”1″.
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