Title: Traffic Risk Behaviours at Nightlife: Relations between Drinking, Drugs use and Driving and use of T
1Traffic Risk Behaviours at Nightlife Relations
between Drinking, Drugs use and Driving and use
of Transport in Young People
- Nicole Blay,
- Seminario Irefrea, Coimbra, 2007
2Hypothesis
3Objetives
- Description of transport habits of young people
during nightlife reasons adduced for transport
preferences - Description of risky traffic behaviours at three
levels - a) Taking a lift from someone drunk and/or
drugged - b) Driving themselves drunk
- c) Driving themselves drugged
- Analysis of the relationship between transport
form and traffic risk behaviours (a, b and c). - Analysis of the relationship between alcohol and
drug consumption and the described risk
behaviours - Analysis between drunkenness and drug consumption
and traffic crashes - Analysis of the geographical differences for use
of transport and risk behaviours in nightlife.
4Analyzed variables
- Transport
- Use of transport when going out at night
- Use of transport when coming back at night
- Reasons for rejecting use of public transport
- Traffic risk behaviours
- Taking a lift from someone drunk/drugged
- Driving drunk
- Driving drugged
- Alcohol and drug use
- Times drunk last month
- Alcohol use
- Cannabis use
- Cocaine use
- Traffic accidents
5Table 1 Total Frequencies of transport of going
out at night and coming back
6Table 2 Traffic Risk behaviours by gender
R1 taking a lift from someone drunk or
drugged R2 driving being drunk R3 driving
drugged
7Figure 1 Traffic risk behaviours by use of
private/public transport
Note category 0 has an inverse value, as it
shows times people NEVER assumed that risk.
8Figure 2 Traffic accidents by drunkenness and
drug intake (past 30 days)
9Figure 3 Drunkenness, alcohol, cannabis and
cocaine consumption by Gender
10Figure 4 Traffic risk behaviours by times drunk,
cannabis and cocaine intake
11Figure 4 Traffic risk behaviours X times drunk,
cannabis and cocaine intake (II)
12Geographical differences
Table 3 Frequencies of transport form and
traffic risk behaviours X North / South
North Countries Austria, Chez Republic, Germany,
UK South Countries Greece, Italy, Portugal,
Slovenia, Spain ? percentage of positive cases
(one or more times in the last month) Significance
s set of chi-square statistics (lt.05lt.01)
13Figure 5 Reasons for rejecting use of public
transport by age, gender and North/ South
14Figure 5 Reasons for rejecting use of public
transport by age, gender and North/ South
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