This is a revised application with the goal of evaluating how a low level of response (LR) to alcohol relates to other domains in a person's life (e.g., drinking among peers, ways of coping with stress, etc.) to increase the risks for heavy drinking and alcohol-related problems in teenagers and young adults. The evaluations focus on an LR-Social Information Processing Model which is studied in the second generation from 437 families that represent a 97% follow-up of eligible pedigrees over a 20-year period. We propose to test the model during the 25-year follow-up when the offspring, the major focus of this work, will be relatively young. Data will be gathered directly from sons and daughters age 12 and above, as well as from the parents. The major analyses will test the full model on an estimated 250 drinkers from among the 327 offspring age 12-24. At the core of the model are the family history of alcoholism and the low LR to alcohol. We hypothesize that a low LR might alter a person's expectations of the effects of alcohol which then enhances the probability of using alcohol to cope with stress. The initial need for higher amounts of alcohol for effects might also enhance the probability of acquiring heavy-drinking friends, who then increase the likelihood of alcohol problems. The family history of alcoholism is projected to be associated with a child's observing heavy drinking in the home, which also affects the selection of heavy-drinking friends and problematical coping mechanisms. The revised application expands the background information on the self-report measure of the level of response to alcohol, presents specific power calculations relevant to the structural equation modeling approach being used, and demonstrates how age, gender, ethnic background, and the non-independence of ratings among siblings can be modeled within the analyses to enhance understanding of how a low LR operates in teenagers and young adults. Our ultimate goal is to identify ways to prevent the escalation of drinking and associated problems in young populations.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Project (R01)
Project #
5R01AA005526-25
Application #
7389606
Study Section
Behavioral Genetics and Epidemiology Study Section (BGES)
Program Officer
Matochik, John A
Project Start
1982-09-29
Project End
2009-03-31
Budget Start
2008-04-01
Budget End
2009-03-31
Support Year
25
Fiscal Year
2008
Total Cost
$433,558
Indirect Cost
Name
Veterans Medical Research Fdn/San Diego
Department
Type
DUNS #
933863508
City
San Diego
State
CA
Country
United States
Zip Code
92161
Schuckit, Marc A (2018) A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity. Alcohol Clin Exp Res 42:822-835
Gonçalves, Priscila Dib; Schuckit, Marc A; Smith, Tom L (2017) Drinking Status Between Ages 50 and 55 for Men From the San Diego Prospective Study Who Developed DSM-IV Alcohol Abuse or Dependence in Prior Follow-Ups. J Stud Alcohol Drugs 78:512-520
Schuckit, Marc A; Smith, Tom L; Heron, Jon et al. (2015) Latent trajectory classes for alcohol-related blackouts from age 15 to 19 in ALSPAC. Alcohol Clin Exp Res 39:108-16
Schuckit, Marc A (2014) A brief history of research on the genetics of alcohol and other drug use disorders. J Stud Alcohol Drugs Suppl 75 Suppl 17:59-67
Schuckit, Marc A; Smith, Tom L; Kalmijn, Jelger A (2014) The patterns of drug and alcohol use and associated problems over 30 years in 397 men. Alcohol Clin Exp Res 38:227-34
Schuckit, Marc A; Smith, Tom L (2013) Stability of scores and correlations with drinking behaviors over 15 years for the Self-Report of the Effects of Alcohol Questionnaire. Drug Alcohol Depend 128:194-9
Trim, Ryan S; Schuckit, Marc A; Smith, Tom L (2013) Predictors of initial and sustained remission from alcohol use disorders: findings from the 30-year follow-up of the San Diego Prospective Study. Alcohol Clin Exp Res 37:1424-31
Schuckit, Marc A; Smith, Tom L; Kalmijn, Jelger (2013) Relationships among independent major depressions, alcohol use, and other substance use and related problems over 30 years in 397 families. J Stud Alcohol Drugs 74:271-9
Schuckit, Marc A; Smith, Tom L; Kalmijn, Jelger et al. (2012) Comparison across two generations of prospective models of how the low level of response to alcohol affects alcohol outcomes. J Stud Alcohol Drugs 73:195-204
Schuckit, Marc A; Smith, Tom L; Trim, Ryan S et al. (2012) Sex differences in how a low sensitivity to alcohol relates to later heavy drinking. Drug Alcohol Rev 31:871-80

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