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The validity of a latent class typology of adolescent drinking patterns

Published online by Cambridge University Press:  13 June 2014

Andrew Percy
Affiliation:
Institute of Child Care Research, Queen's University of Belfast, 5A Lennoxvale, Belfast, Northern Ireland
Dorota Iwaniec
Affiliation:
Institute of Child Care Research, Queen's University of Belfast, 5A Lennoxvale, Belfast, Northern Ireland

Abstract

Objectives: This study examined the validity of a latent class typology of adolescent drinking based on four alcohol dimensions; frequency of drinking, quantity consumed, frequency of binge drinking and the number of alcohol related problems encountered.

Method: Data used were from the 1970 British Cohort Study 16-year-old follow-up. Partial or complete responses to the selected alcohol measures were provided by 6,516 cohort members. The data were collected via a series of postal questionnaires.

Results: A five class LCA typology was constructed. Around 12% of the sample were classified as ‘hazardous drinkers’ reporting frequent drinking, high levels of alcohol consumed, frequent binge drinking and multiple alcohol related problems. Multinomial logistic regression, with multiple imputation for missing data, was used to assess the covariates of adolescent drinking patterns. Hazardous drinking was associated with being white, being male, having heavy drinking parents (in particular fathers), smoking, illicit drug use, and minor and violent offending behaviour. Non-significant associations were found between drinking patterns and general mental health and attention deficient disorder.

Conclusion: The latent class typology exhibited concurrent validity in terms of its ability to distinguish respondents across a number of alcohol and non-alcohol indicators. Notwithstanding a number of limitations, latent class analysis offers an alternative data reduction method for the construction of drinking typologies that addresses known weaknesses inherent in more tradition classification methods.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2007

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References

1.Carroll, KM. Methodological issues and problems in the assessment of substance use. Psych Asses 1995; 7: 349358.CrossRefGoogle Scholar
2.Martin, CS, Winters, KC. Diagnosis and assessment of alcohol use disorders among adolescents. Alcohol Health Res World 1998; 22: 95105.Google ScholarPubMed
3.Meyers, Ket al.Critical issues in adolescent substance use assessment. Drug Alcohol Depend 1999; 55: 235246.CrossRefGoogle ScholarPubMed
4.Dawson, DA, Room, R. Towards agreement on ways to measure and report drinking patterns and alcohol-related problems in adult general population surveys: the Skarpo Conference overview. J Subst Abuse 2000; 12:121.CrossRefGoogle ScholarPubMed
5.Room, R. Measuring drinking patterns: the experience of the last half-century. J Subst Abuse 2000; 12: 23–31.CrossRefGoogle ScholarPubMed
6.Room, R. Concepts and items in measuring social harm from drinking. J Subst Abuse 2000; 12:93111.CrossRefGoogle ScholarPubMed
7.Bailey, SL, Rachal, JV. Dimensions of adolescent problem drinking. J Stud Alcohol 1992; 54:555565.CrossRefGoogle Scholar
8.Steinhausen, HC, Metzke, CW. The validity of adolescent types of alcohol use. J Child Psychol Psychiatry 2003; 44: 677686.CrossRefGoogle ScholarPubMed
9.Windle, M. An alcohol involvement typology for adolescents: Convergent validity and longitudinal stability. J Stud Alcohol 1996; 57: 627637.CrossRefGoogle ScholarPubMed
10.Hibell, Bet al.The ESPAD report 2003: Alcohol and other drug use among students in 35 European Countries. Stockholm: The Swedish Council for Information on Alcohol and Other Drugs (CAN), 2004.Google Scholar
11.Ellickson, PL, McGuigan, KA, Adams, V, Bell, RM, Hays, RD. Teenagers and alcohol misuse in the United States: By any definition a big problem. Addiction 1996, 91:14891503.CrossRefGoogle ScholarPubMed
12.Sullivan, PF, Kessler, RC, Kendler, KS. Latent class analysis of lifetime depressive symptoms in the National Comorbidity Survey. Am J Psychiatry 1998; 155:13981406.CrossRefGoogle ScholarPubMed
13.Bucholz, KK, Hesselbrock, VM, Heath, AC, Kramer, JR, Schuckit, MA. A latent class analysis of antisocial personality disorder symptoms data from a multi-centre family study of alcoholism. Addiction 2000; 95: 553567.CrossRefGoogle ScholarPubMed
14.Kendler, KS, Karkowski, LM, Walsh, D. The structure of psychosis: latent class analysis of probands from the Roscommon Family Study. Arch Gen Psychiatry 1998; 55:492499.CrossRefGoogle ScholarPubMed
15.Rasmussen, ER, Neuman, RJ, Heath, AC, Levy, F, Hay, DA, Todd, RD. Familial clustering of latent class and DSM-IV defined attention-deficit/hyperactivity disorder (ADHD) subtypes. J Child Psychol Psychiatry 2004; 45: 589598.CrossRefGoogle ScholarPubMed
16.Uebersax, JS. Latent class analysis of substance use patterns. In: Collins, LM, Seitz, LA, Eds. Advances in data analysis for prevention intervention research. NIDA Research Monograph 142. Rockville MD: NIDA, 1994: 6480.Google Scholar
17.Hasin, D, Hatzenbuehler, ML, Keyes, K, Ogburn, E. Substance use disorders: Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) and International Classification of Diseases, 10th edition (ICD-10). Addiction 2006; 101 (Suppl.1): 5975.CrossRefGoogle Scholar
18.Hesselbrock, VM, Hesselbrock, MN. Are there empirically supported and clinically useful subtypes of alcohol dependence? Addiction 2006; 101 (Suppl.1): 97103.CrossRefGoogle ScholarPubMed
19.Chung, T, Martin, CS. Classification and course of alcohol problems among adolescents in addiction treatment programs. Alcohol Clin Exp Res 2001; 25: 17341742.CrossRefGoogle Scholar
20.Fergusson, DM, Horwood, LJ, Lynskey, MT. The prevalence and risk factors associated with abusive or hazardous alcohol consumption in 16-year olds. Addiction 1995;90:935946.CrossRefGoogle ScholarPubMed
21.Reboussin, BA, Song, EY, Shrestha, A, Lohman, KK, Wolfson, M. A latent class analysis of underage problem drinking: Evidence from a community sample of 16-20 year olds. Drug Alcohol Depend 2006; 83:199209.CrossRefGoogle Scholar
22.Hagenaars, JA, McCutcheon, AL. Applied latent class analysis. Cambridge: Cambridge University Press, 2002.CrossRefGoogle Scholar
23.von Eye, A, Bergman, LR. Research strategies in developmental psychopathology: dimensional identity and person-orientated approach. Dev Psychopathol 2003; 15: 553580.CrossRefGoogle Scholar
24.Pickles, A, Angold, A. Natural categories or fundamental dimensions: on carving nature at the joints and the rearticulation of psychopathology. Dev Psychopathol 2003; 15: 529551.CrossRefGoogle ScholarPubMed
25.Colder, CR, Chassin, L. The psychological characteristics of alcohol users versus problems users: data from a study of adolescents at risk. Dev Psychopathol 1999; 11: 321348.CrossRefGoogle ScholarPubMed
26.Dawson, DA. Drinking as a risk factor for sustained smoking. Drug Alcohol Depend 2000; 59: 235249.CrossRefGoogle ScholarPubMed
27.Ramsay, M, Percy, A. Drug Misuse Declared: Results from the 1994 British Crime Survey (Home Office Research Study 151). London: Home Office.Google Scholar
28.Rutter, M, Giller, H, Hagel, A. Antisocial behaviour by young people. New York: Cambridge University Press, 1998.Google Scholar
29.Dawes, MA, Tarter, RE, Kirisci, L. Behavioural self-regulation: correlates and 2 year follow-up for boys at risk of substance abuse. Drug Alcoh Depend 1997; 45: 165176.CrossRefGoogle ScholarPubMed
30.Wilens, TE. AOD use and attention deficit/hyperactivity disorder. Alcohol Health Res World 1998; 221: 127130.Google Scholar
31.Goodman, A, Butler, NR. BCS70 – The British Cohort Study: The 16-Year Follow-up. A Guide to the BCS70 16 Year Data Available at the Economic and Social Research Council Data Archive. London: Social Statistics Research Unit, not dated.Google Scholar
32.Vermunt, JK. LEM: a general program for the analysis of categorical data [Computer programme]. Tilberg NL: Tilberg University, 1999.Google Scholar
33.Vermunt, JK. LEM: a general program for the analysis of categorical data [User manual]. Tilberg, NL: Tilberg University, 1997.Google Scholar
34.Schafer, JL. Analysis of incomplete multivariate data. London: Chapman and Hall, 1997.CrossRefGoogle Scholar
35.Schafer, JL, Graham, JW. Missing data: Our view of the state of the art. Psychol Methods 2002; 7: 147177.CrossRefGoogle ScholarPubMed
36.Schafer, JL. NORM version 2.03 [Computer programme]. University Park, PA: The Methodology Centre, Pennsylvania State University, 2000.Google Scholar
37.Muthén, BO, Muthén, LK. Mplus version 3 [Computer Programme]. Los Angeles, CA: Muthén & Muthén, 19982004.Google Scholar
38.Muthén, BO, Muthén, LK. Mplus user's guide (3rd ed.)[User Manual]. Los Angeles, CA: Muthén & Muthén, 19982004.Google Scholar
39.Roeder, K, Lynch, KG, Nagin, DS. Modelling uncertainty in latent class membership: a case study in criminology. J Am Stat Assoc 1999; 94: 766776.CrossRefGoogle Scholar
40.Kelley, BJ, Loeber, R, Kennan, K, DeLamatre, M. Developmental pathways in boys disruptive behaviour. (OJJDP Bulletin, 12). Washington, DC: Office of Juvenile Justice and Delinquency Prevention, 1997.Google Scholar
41.Conners, CK. Symptom patterns in hyperkinetic, neurotic and normal children. Child Dev 1970; 41: 667682.CrossRefGoogle Scholar
42.Goyette, CH, Conners, CK, Ulrich, RF. Normative data on Revised Conners' Parent and Teachers Rating Scales. J Abnorm Child Psychol 1978; 6: 221236.CrossRefGoogle ScholarPubMed
43.Rutter, M, Tizard, J, Whitmore, K. Education, health and behaviour. London: Longman, 1970.Google Scholar
44.Collins, LM, Fidler, PL, Wugalter, SE, Long, JD. Goodness of fit statistics for latent class models. Multi Beh Res 1993; 28: 375389.CrossRefGoogle ScholarPubMed
45.Akaike, H. Factor analysis and AIC. Psychometrica, 1987; 52: 317332.CrossRefGoogle Scholar
46.Croon, M. Latent class analysis with ordered latent classes. Br J Math Stat Psychol 1990; 43: 171192.CrossRefGoogle Scholar
47.DeWitt, DJ, Adlaf, EM, Offord, DR, Ogborne, AC. Age at first alcohol use: a risk factor for the development of alcohol disorders. Am J Psychiatry 2000; 157: 745750.CrossRefGoogle Scholar
48.Grant, BF, Stinson, FS, Harford, TC. Age of onset of alcohol use and DSM-IV alcohol abuse and dependency: A 12 year follow-up. J Subst Abuse 2001; 13: 493504.CrossRefGoogle Scholar
49.Gruber, E, DiClemente, RJ, Anderson, M, Lodico, M. Early drinking onset and its association with alcohol use and problem behaviour in late adolescences. Prev Med 1996; 25: 293300.CrossRefGoogle Scholar
50.Dawson, DA. Alternative measures and models of hazardous consumption. J Subst Abuse 2000; 12: 7991.CrossRefGoogle ScholarPubMed
51.Jackson, KM, Sher, KJ, Wood, PK. Prospective analysis of comorbidity: tobacco and alcohol use disorders. J Abnorm Psychol 2000; 109: 679694.CrossRefGoogle ScholarPubMed
52.Lynskey, M, Fergusson, D, Horwood, L. The origins of the correlations between tobacco, alcohol, and cannabis use during adolescence. J Child Psychol Psychiatry, 1998; 39: 9951007.CrossRefGoogle ScholarPubMed
53.Jessor, R, Jessor, S. Problem behaviour and psychosocial development – a longitudinal study of youth. New York: Academic Press, 1977.Google Scholar
54.White, HR, Loeber, R, Stouthamer-Loeber, M, Farrington, DP. Developmental associations between substance use and violence. Dev Psychopathol 1999; 11: 785803.CrossRefGoogle ScholarPubMed
55.Fergusson, DM, Horwood, LJ. Alcohol abuse and crime: a fixed-effects regression analysis. Addiction 2000; 95: 15251536.CrossRefGoogle ScholarPubMed
56.Fergusson, DM, Lynskey, MT, Horwood, LJ. Alcohol misuse and juvenile offending in adolescence. Addiction 1996; 91: 483494.CrossRefGoogle ScholarPubMed
57.Ellis, DA, Zucker, RA, Fiztgerald, HE. The role of family influences in development and risk. Alcohol Health Res World 1997; 21: 218226.Google ScholarPubMed
58.Johnson, JL, Leff, M. Children of substance abusers: overview of research findings. Paediatrics, 1999; 103: 10851099.CrossRefGoogle ScholarPubMed
59.Lieb, R, Merikangas, KR, Höfler, M, Pfisher, H, Isensee, B, Wittchen, HU. Parent alcohol use disorders and alcohol use and disorders in offspring: a community sample. Psychol Med 2000; 32: 6378.CrossRefGoogle Scholar
60.Armstrong, TD, Costello, EJ. Community studies on adolescent substance use, abuse or dependency and psychiatric comorbidity. J Consult Clin Psychol 2002; 70: 12241239.CrossRefGoogle ScholarPubMed
61.Rohde, P, Lewinsohn, PM, Seeley, JR. Psychiatric comorbidity with problem alcohol use in high school students. J Am Acad Child and Adolesc Psychiatry 1996; 35: 101109.CrossRefGoogle ScholarPubMed
62.Biederman, J, Mick, E, Faraone, SV. Age-dependant decline of symptoms of attention deficit hyperactivity disorder: impact of remission definition and symptom type. Am J Psychiatry 2000; 157: 816818.CrossRefGoogle Scholar
63.Faraone, SVet al.Attention-deficit/hyperactivity disorder in adults: an overview. Biol Psychiatry, 2000; 48: 920.CrossRefGoogle ScholarPubMed
64.Eid, M, Langeheine, R, Deiner, E. Comparing typological structures across cultures bymultigroup latent class analysis: A primer. J Cross-Community Psychol 2003; 34: 195210.CrossRefGoogle Scholar