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Traffic Risk Behaviours at Nightlife: Relations between Drinking, Drugs use and Driving and use of T

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... lift from someone drunk and/or drugged. b) Driving themselves drunk ... Times drunk last month. Alcohol use. Cannabis use. Cocaine use. Traffic accidents. 1.64 ... – PowerPoint PPT presentation

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Title: Traffic Risk Behaviours at Nightlife: Relations between Drinking, Drugs use and Driving and use of T


1
Traffic Risk Behaviours at Nightlife Relations
between Drinking, Drugs use and Driving and use
of Transport in Young People
  • Nicole Blay,
  • Seminario Irefrea, Coimbra, 2007

2
Hypothesis
3
Objetives
  • 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.

4
Analyzed 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

5
Table 1 Total Frequencies of transport of going
out at night and coming back
6
Table 2 Traffic Risk behaviours by gender
R1 taking a lift from someone drunk or
drugged R2 driving being drunk R3 driving
drugged
7
Figure 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.
8
Figure 2 Traffic accidents by drunkenness and
drug intake (past 30 days)
9
Figure 3 Drunkenness, alcohol, cannabis and
cocaine consumption by Gender
10
Figure 4 Traffic risk behaviours by times drunk,
cannabis and cocaine intake
11
Figure 4 Traffic risk behaviours X times drunk,
cannabis and cocaine intake (II)
12
Geographical 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)
13
Figure 5 Reasons for rejecting use of public
transport by age, gender and North/ South
14
Figure 5 Reasons for rejecting use of public
transport by age, gender and North/ South
15
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