Volume 35, Issue 10 pp. 1897-1904

Testing a Level of Response to Alcohol-Based Model of Heavy Drinking and Alcohol Problems in 1,905 17-year-olds

Marc A. Schuckit

Marc A. Schuckit

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Tom L. Smith

Tom L. Smith

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Jon Heron

Jon Heron

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Matthew Hickman

Matthew Hickman

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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John Macleod

John Macleod

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Glyn Lewis

Glyn Lewis

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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John M. Davis

John M. Davis

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Joseph R. Hibbeln

Joseph R. Hibbeln

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Sandra Brown

Sandra Brown

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Luisa Zuccolo

Luisa Zuccolo

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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Laura L. Miller

Laura L. Miller

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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George Davey-Smith

George Davey-Smith

From the Department of Psychiatry (MAS, TLS, SB), University of California, San Diego, La Jolla, California; MRC Centre for Causal Analyses in Translational Epidemiology (JH, MH, JM, GL, LZ, LLM, GD-S), School of Social and Community Medicine, University of Bristol, Bristol, U.K.; Department of Psychiatry (JMD), University of Illinois, Chicago, Illinois; and LMBB/NIAAA (JRH), Bethesda, Maryland.

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First published: 18 July 2011
Citations: 22
Reprint requests: Marc A. Schuckit, Department of Psychiatry, University of California, San Diego, 8950 Villa La Jolla Drive, Suite B-218, La Jolla, CA 92037; Tel.: 858-822-0880; Fax: 858-822-1002; E-mail: [email protected]

Abstract

Background: The low level of response (LR) to alcohol is one of several genetically influenced characteristics that increase the risk for heavy drinking and alcohol problems. Efforts to understand how LR operates through additional life influences have been carried out primarily in modest-sized U.S.-based samples with limited statistical power, raising questions about generalizability and about the importance of components with smaller effects. This study evaluates a full LR-based model of risk in a large sample of adolescents from the United Kingdom.

Methods: Cross-sectional structural equation models were used for the approximate first half of the age 17 subjects assessed by the Avon Longitudinal Study of Parents and Children, generating data on 1,905 adolescents (mean age 17.8 years, 44.2% boys). LR was measured with the Self-Rating of the Effects of Alcohol Questionnaire, outcomes were based on drinking quantities and problems, and standardized questionnaires were used to evaluate peer substance use, alcohol expectancies, and using alcohol to cope with stress.

Results: In this young and large U.K. sample, a low LR related to more adverse alcohol outcomes both directly and through partial mediation by all 3 additional key variables (peer substance use, expectancies, and coping). The models were similar in boys and girls.

Conclusions: These results confirm key elements of the hypothesized LR-based model in a large U.K. sample, supporting some generalizability beyond U.S. groups. They also indicate that with enough statistical power, multiple elements contribute to how LR relates to alcohol outcomes and reinforce the applicability of the model to both genders.

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