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P. Gatter (1997)
Pursuit of ecstasy: The MDMA experienceSocial Science & Medicine, 44
C. Clogg, D. Sawyer (1981)
A Comparison of Alternative Models for Analyzing the Scalability of Response PatternsSociological Methodology, 12
Brian Torode, Dick Hebdige (1981)
Subculture: The Meaning of Style.Contemporary Sociology, 10
A. Forsyth, M. Barnard, Neil Mckeganey (1997)
Musical preference as an indicator of adolescent drug use.Addiction, 92 10
A. Caspi, D. Bem, G. Elder (1989)
Continuities and consequences of interactional styles across the life course.Journal of personality, 57 2
M. Keller, P. Lavori, W. Beardslee, J. Wunder, D. Drs, D. Hasin (1992)
Clinical course and outcome of substance abuse disorders in adolescents.Journal of substance abuse treatment, 9 1
M. Kohn (1992)
Dope Girls: The Birth of the British Drug Underground
Debra Blaze-Temple, S. Lo (1992)
Stages of drug use: a community survey of Perth teenagers.British journal of addiction, 87 2
(1997)
LIMDEP Version 7.0 Users Manual (Bellport, Econometric Software)
V. Berridge (1988)
The origins of the English drug "scene" 1890-1930.Medical History, 32
(1997)
Altered State (London, Serpent’ s Tale)
U. McConn, G. Ricaurte (1995)
On the neurotoxicity of MDMA and related amphetamine derivatives.Journal of clinical psychopharmacology, 15 4
C. Clogg (1995)
Latent Class Models
Neil Henry (1969)
Latent structure analysis
N. Solowij, W. Hall, N. Lee (1992)
Recreational MDMA use in Sydney: a profile of 'Ecstacy' users and their experiences with the drug.British journal of addiction, 87 8
D. Fergusson, L. Horwood (1997)
Early onset cannabis use and psychosocial adjustment in young adults.Addiction, 92 3
(1989)
Applied Regression (New York
P. Greenbaum, M. Prange, R. Friedman, S. Silver (1991)
Substance abuse prevalence and comorbidity with other psychiatric disorders among adolescents with severe emotional disturbances.Journal of the American Academy of Child and Adolescent Psychiatry, 30 4
D. Kandel, K. Yamaguchi, Kevin Chen (1992)
Stages of progression in drug involvement from adolescence to adulthood: further evidence for the gateway theory.Journal of studies on alcohol, 53 5
(1992)
The Categorical Data Analysis System, version 3.50 user’s manual (University of Iowa, Department of Sociology)
(1995)
Secular trends in substance
(1977)
Unrestricted and Restricted Maximum Likelihood Latent Structure Analysis: a manual for users, Working paper 1977±
Sarah Thornton (1995)
Club Cultures: Music, Media, and Subcultural Capital
D. Kleinbaum, L. Kupper, H. Morgenstern, Hardcover, Ph. Kleinbaum (1983)
Epidemiologic Research: Principles and Quantitative Methods.Biometrics, 39
D. Fergusson, M. Lynskey, L. Horwood (1993)
Conduct Problems and Attention Deficit Behaviour in Middle Childhood and Cannabis Use by Age 15Australian and New Zealand Journal of Psychiatry, 27
(1997)
New Trends in Synthetic Drugs in the European Union (Lisbon, European Monitoring Centre for Drugs and Drug Addiction (EMCDDA))
H. Kaplan (1984)
Patterns of juvenile delinquency
D. Farrington, R. Loeber, D. Elliott, J. Hawkins, D. Kandel, M. Klein, J. Mccord, D. Rowe, R. Tremblay (1990)
Advancing Knowledge about the Onset of Delinquency and CrimeAdvances in clinical child psychology, 13
Cynthia Rose (1991)
DESIGN AFTER DARK the Story of Dancefloor Style
(1998)
Drug use among young people in Norway, in: WAAL, H. (Ed.) Patterns on the European Drug Scene (Oslo, National Institute of Alcohol and Drug Research)
L. Derogatis, R. Lipman, K. Rickels, E. Uhlenhuth, L. Covi (1974)
The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory.Behavioral science, 19 1
H. Parker, F. Measham, J. Aldridge (1995)
Drug futures: Changing patterns of drug abuse amongst English youth
H. Curran, Ross Travill, Valerie Curran (1997)
Mood and cognitive effects of +/-3,4-methylenedioxymethamphetamine (MDMA, 'ecstasy'): week-end 'high' followed by mid-week low.Addiction, 92 7
C. Martin, A. Arria, A. Mezzich, O. Bukstein (1993)
Patterns of polydrug use in adolescent alcohol abusers.The American journal of drug and alcohol abuse, 19 4
H. White, E. Labouvie (1989)
Towards the assessment of adolescent problem drinking.Journal of studies on alcohol, 50 1
(1996)
Generation XTC. Techno und Ekstase (Berlin, Verlag Volk und Welt Gmbh)
Colin Becg, R. Gray (1984)
Calculation of polychotomous logistic regression parameters using individualized regressionsBiometrika, 71
Aims. (i) To describe illegal drug use patterns in an adolescent normal population sample with special emphasis on MDMA, ecstasy; (ii) to investigate where ecstasy is introduced in a hypothesized drug use sequence, and (iii) to contrast the predictors of ecstasy use with those of other illegal substances. Special attention was given to the relationship to subcultural music preferences and house‐party‐going. Design. A school‐based survey of the total cohort of adolescents enrolled in the school system in a city. Participants. 10 812 adolescents, age 14‐17 years, response rate 94.3%. Setting. Oslo, the capital and only metropolitan town in Norway. Measurements. Social class was measured by the occupation standard ISCO 88, questions were posed as regards frequency of alcohol use and alcohol intoxication, cigarette smoking and use of cannabis, amphetamines, ecstasy and heroin. Alcohol problems were measured by a shortened version of Rutgers Alcohol Problem Index (RAPI), conduct problems were measured according to the four categories of acts forming the basis of the diagnosis conduct disorder in DSM‐IV, internalizing mental health problems were measured using items from Hopkins Symptoms Checklist (HCL). A number of questions were asked as regards subcultural music preferences and house‐party‐going. Statistical models. A hypothesized cumulative sequence in drug use was investigated by means of latent class analysis, and the predictors of the various patterns of drug use were estimated and compared by means of multinominal logistic regression analysis. Findings. The use of ecstasy was often intermingled with the use of cannabis, amphetamines and heroin, in a pattern of polydrug use. The latent class analysis revealed the following drug use sequence: (1) alcohol, (2) cigarettes, (3) cannabis, (4) amphetamines, (5) ecstasy and (6) heroin. There was no significant association between ecstasy use and parental social class or residential area of the town. All patterns of illegal drug use were highly associated with cigarette smoking, alcohol use, alcohol problems and conduct problems, whereas the associations with internalizing mental health problems were of less magnitude. Multinominal logistic regression analysis revealed that the use of ecstasy (E) was significantly more weakly associated with cigarette smoking than were the use of cannabis only (C), amphetamines (A) and the combination of ecstasy and amphetamines (A + E). The association between E and conduct problems (CP) was weaker than the association between CP and A and A + E. Finally, there were associations between E and A + E and House/Techno preferences and house‐party‐going, which were not found for C and A. Conclusions. Ecstasy is used by adolescents who use other legal and illegal substances in a polydrug‐use pattern. The substance is introduced late in a hypothesized drug use sequence. Even so, ecstasy use seems to differ from the use of, e.g. amphetamines, in that the association with smoking and conduct problems is weaker and that the associations with subcultural music preferences and house‐party‐going are much stronger.
Addiction – Wiley
Published: Nov 1, 1999
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