Literature DB >> 26751352

The Low Level of Response to Alcohol-Based Heavy Drinking Prevention Program: One-Year Follow-Up.

Marc A Schuckit1, Tom L Smith1, Peyton Clausen1, Kim Fromme2, Jessica Skidmore1, Alexandra Shafir1, Jelger Kalmijn1.   

Abstract

OBJECTIVE: Heavy drinking is common on college campuses, with a marked increase from high school to freshman year. Programs addressing heavy campus drinking often personalize prevention protocols to fit a student's demography and prior drinking characteristics. Few efforts have individualized approaches to address a person's vulnerability through his or her low level of response (low LR) to alcohol.
METHOD: This article describes the recently completed 55-week outcome in drinking quantities and problems for the >90% of 500 participants in a prevention program at a U.S. university (62% female, mean age = 18 years) who completed a 4-week series of 50-minute videos delivered via the Internet. We evaluated whether, for low LRs, participation in an educational approach that focused on a low LR (the LR-based [LRB] condition) was associated with better outcomes than a state-of-the-art (SOTA) general education or with a no-intervention control condition.
RESULTS: Using a mixed-design analysis of variance and focusing on the most closely ethnically matched high and low LR pairs, students with low LRs in the LRB condition demonstrated the greatest decreases in usual and maximum drinks over the 55 weeks, especially when compared with closely ethnically matched students with high LRs. Low LR controls showed the highest drinking values over time.
CONCLUSIONS: This study underscores the potential importance of targeting a person's specific preexisting vulnerability toward heavy drinking when he or she enters college. The approach can be used in a relatively inexpensive protocol of video education sessions delivered via the Internet.

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Mesh:

Year:  2016        PMID: 26751352      PMCID: PMC4711317          DOI: 10.15288/jsad.2016.77.25

Source DB:  PubMed          Journal:  J Stud Alcohol Drugs        ISSN: 1937-1888            Impact factor:   2.582


  36 in total

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8.  Behavioral risks during the transition from high school to college.

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9.  Are social norms the best predictor of outcomes among heavy-drinking college students?

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Review 10.  ALDH2, ADH1B, and ADH1C genotypes in Asians: a literature review.

Authors:  Mimy Y Eng; Susan E Luczak; Tamara L Wall
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3.  A Prospective Comparison of How the Level of Response to Alcohol and Impulsivity Relate to Future DSM-IV Alcohol Problems in the COGA Youth Panel.

Authors:  Marc A Schuckit; Tom L Smith; George Danko; Robert Anthenelli; Lara Schoen; Mari Kawamura; John Kramer; Danielle M Dick; Zoe Neale; Samuel Kuperman; Vivia McCutcheon; Andrey P Anokhin; Victor Hesselbrock; Michie Hesselbrock; Kathleen Bucholz
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Review 4.  Post-GWAS in Psychiatric Genetics: A Developmental Perspective on the "Other" Next Steps.

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5.  Predictors of Increases in Alcohol Problems and Alcohol Use Disorders in Offspring in the San Diego Prospective Study.

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6.  Alcohol-related blackouts across 55 weeks of college: Effects of European-American ethnicity, female sex, and low level of response to alcohol.

Authors:  Marc A Schuckit; Tom L Smith; Priscila Dib Goncalves; Robert Anthenelli
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7.  The Search for Contributors to Low Rates of Recognition of Paternal Alcohol Use Disorders in Offspring From the San Diego Prospective Study.

Authors:  Marc A Schuckit; Dennis F Clarke; Tom L Smith; Lee Anne Mendoza; Lara Schoen
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8.  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.

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9.  Drinking Patterns Across Spring, Summer, and Fall in 462 University Students.

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10.  Predictors of Patterns of Alcohol-Related Blackouts Over Time in Youth From the Collaborative Study of the Genetics of Alcoholism: The Roles of Genetics and Cannabis.

Authors:  Marc A Schuckit; Tom L Smith; Alexandra Shafir; Peyton Clausen; George Danko; Priscila Dib Gonçalves; Robert M Anthenelli; Grace Chan; Samuel Kuperman; Michie Hesselbrock; Victor Hesselbrock; John Kramer; Kathleen K Bucholz
Journal:  J Stud Alcohol Drugs       Date:  2017-01       Impact factor: 2.582

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