World Drug Report 2006 - United Nations Office on Drugs and Crime
World Drug Report 2006 - United Nations Office on Drugs and Crime
World Drug Report 2006 - United Nations Office on Drugs and Crime
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<str<strong>on</strong>g>World</str<strong>on</strong>g> <str<strong>on</strong>g>Drug</str<strong>on</strong>g> <str<strong>on</strong>g>Report</str<strong>on</strong>g> <str<strong>on</strong>g>2006</str<strong>on</strong>g> Volume 2. Statistics<br />
Annual prevalence am<strong>on</strong>g the general populati<strong>on</strong> (age 15-64) <strong>and</strong> life-time prevalence am<strong>on</strong>g 15-16 year<br />
old students in Western Europe, 2003<br />
annual prevalence am<strong>on</strong>g general populati<strong>on</strong> (age 15<br />
64)<br />
12.0<br />
10.0<br />
8.0<br />
6.0<br />
4.0<br />
2.0<br />
Data<br />
Regressi<strong>on</strong> curve<br />
y = 0.1958x + 1.4971<br />
R = 0.79<br />
R 2 = 0.63<br />
0.0<br />
0 5 10 15 20 25 30 35 40 45<br />
Life-time prevalence am<strong>on</strong>g 15-16 year old students<br />
Sources: UNODC, Annual <str<strong>on</strong>g>Report</str<strong>on</strong>g>s Questi<strong>on</strong>naire Data, EMCDDA, Annual <str<strong>on</strong>g>Report</str<strong>on</strong>g> 2004, Council of Europe, The ESPAD <str<strong>on</strong>g>Report</str<strong>on</strong>g> 2003.<br />
In order to arrive at UNODC’s final estimates for individual countries a number of additi<strong>on</strong>al steps were taken.<br />
This will be shown for the case of Austria. Participating in the school surveys (ESPAD) that were c<strong>on</strong>ducted<br />
under the auspices of the Council of Europe, Austria reported a life-time prevalence rate of cannabis use am<strong>on</strong>g<br />
15-16 year students of 20.5% (average of 23% for male <strong>and</strong> 18% for female students) for the year 2003.<br />
Applying the regressi<strong>on</strong> curve model, cannabis use could be estimated at 5.5% (=20.5 * 0.1958 + 1.4971).<br />
Similar models were also established linking annual prevalence am<strong>on</strong>g the general populati<strong>on</strong> with annual<br />
prevalence of cannabis use <strong>and</strong> with m<strong>on</strong>thly prevalence of cannabis use. The results showed very similar values<br />
(5.6% in the other two cases). In additi<strong>on</strong>, the unweighted ratios of student surveys results versus general<br />
populati<strong>on</strong> use were calculated for all of the West European countries. This resulted in a ratio of 0.3, indicating<br />
that annual prevalence of cannabis use am<strong>on</strong>g the general populati<strong>on</strong> is, <strong>on</strong> average, equivalent to 30% of lifetime<br />
use of this drug am<strong>on</strong>g the general populati<strong>on</strong>. Applying this ratio, cannabis use in Austria could be<br />
around 6.15% (=20.5 * 0.3). The c<strong>on</strong>fidence interval (at α = 0.05) for this estimate was calculated to range<br />
from 4.2% - 8%. Results from an actual prevalence study carried out in Austria in 2004 c<strong>on</strong>firmed an annual<br />
prevalence rate of 7.5 wich falls within the c<strong>on</strong>fidence interval.<br />
A more unc<strong>on</strong>venti<strong>on</strong>al approach was used for countries wich had either very low or very high levels of drug use<br />
as compared to other countries in the regi<strong>on</strong>. One example here is the case of Turkey. This country is generally<br />
known to have surprisingly low levels of drug c<strong>on</strong>sumpti<strong>on</strong> by European st<strong>and</strong>ards -which was also rec<strong>on</strong>firmed<br />
in the 2003 ESPAD studies. Applying the results of a simple linear regressi<strong>on</strong> curve, would show<br />
rather high levels of cannabis c<strong>on</strong>sumpti<strong>on</strong>. Using a combinati<strong>on</strong> of two approaches - linear regressi<strong>on</strong> curve<br />
<strong>and</strong> use of the unweighted ratios - brings the estimates probably more in line with reality. As compared to the<br />
classical linear regressi<strong>on</strong> model, estimates based <strong>on</strong> this combinati<strong>on</strong> of the two methods are slightly lower for<br />
countries with low levels of prevalence rates am<strong>on</strong>g their student populati<strong>on</strong> <strong>and</strong> slightly higher for countries<br />
with already high levels of prevalence rates. There would be, of course, a number of n<strong>on</strong>-linear curves with<br />
similar properties that statisticians would prefer; given the large number of calculati<strong>on</strong>s <strong>and</strong> the many country<br />
specific (qualitative) informati<strong>on</strong>, provided to UNODC, that were taken into account in making such<br />
estimates, it was decided to stay with simple models, as shown above, <strong>and</strong> to adjust results, wherever needed<br />
(e.g. to various combinati<strong>on</strong>s of estimates).<br />
It goes without saying that each method of extrapolating results from other countries is not without problems<br />
<strong>and</strong> despite lost of efforts made, results of these estimati<strong>on</strong>s for individual countries must be still interpreted<br />
with cauti<strong>on</strong> as they may well differ from reality. However, this should not influence the overall results as some<br />
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