» Articles » PMID: 27769102

How Strong is the "Fake ID Effect?" An Examination Using Propensity Score Matching in Two Samples

Overview
Specialty Psychiatry
Date 2016 Oct 22
PMID 27769102
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Underage college students who obtain and use false identification (fake ID) are at risk for negative outcomes. However, it is currently unclear how uniquely the fake ID itself serves as a vehicle to subsequent harm (i.e., the "fake ID effect") over and above general and trait-related risk factors (e.g., deviant peers, low self-control).

Methods: To investigate whether the "fake ID effect" would hold after accounting for phenotypic risk, we utilized propensity score matching (PSM) in a cross-sectional sample of 1,454 students, and a longitudinal replication sample of 3,720 undergraduates. Individuals with a fake ID were matched with individuals without a fake ID, in terms of a number of trait-based and social risk factors. These matched groups were then compared on 5 problematic outcomes (i.e., frequent binge drinking, alcohol-related problems, arrests, marijuana use, and hard drug use).

Results: Findings showed that "fake ID effects" were substantially-although not fully-diminished following PSM. The "fake ID effect" remained strongest for alcohol-related arrests. This may relate to issues of enforcement and students' willingness to engage in deviant behavior with a fake ID, or it may be a function of combined processes.

Conclusions: Overall, the findings suggest that interventions should not only be aimed at reducing the fake ID-related alcohol access specifically, but should also be aimed more generally toward at-risk youths' access to alcohol. Future research might examine whether fake IDs have their strongest potency as moderators of the effects of risky traits-such as impulsiveness-on drinking outcomes.

Citing Articles

Where do heavy drinking college students experience alcohol consequences and where are they perceived to be normative?.

Merrill J, Fox O, Boyle H, Haines A, Carey K Addict Behav. 2022; 136:107474.

PMID: 36084415 PMC: 10320835. DOI: 10.1016/j.addbeh.2022.107474.


Exposure to alcohol outlets, alcohol access, and alcohol consumption among adolescents.

Morrison C, Byrnes H, Miller B, Wiehe S, Ponicki W, Wiebe D Drug Alcohol Depend. 2019; 205:107622.

PMID: 31760294 PMC: 6961351. DOI: 10.1016/j.drugalcdep.2019.107622.


Urban and Rural Adolescents' Points-of-Access for Alcohol and Tobacco.

Williams Jr R, Housman J, Evans J, Bishop J, Ray V J Community Health. 2017; 43(2):406-411.

PMID: 29071568 DOI: 10.1007/s10900-017-0438-0.

References
1.
Sher K, Rutledge P . Heavy drinking across the transition to college: predicting first-semester heavy drinking from precollege variables. Addict Behav. 2006; 32(4):819-35. PMC: 2674234. DOI: 10.1016/j.addbeh.2006.06.024. View

2.
Fell J, Scherer M, Thomas S, Voas R . Assessing the Impact of Twenty Underage Drinking Laws. J Stud Alcohol Drugs. 2016; 77(2):249-60. PMC: 4803657. DOI: 10.15288/jsad.2016.77.249. View

3.
Winograd R, Steinley D, Sher K . Drunk personality: reports from drinkers and knowledgeable informants. Exp Clin Psychopharmacol. 2014; 22(3):187-97. PMC: 4091632. DOI: 10.1037/a0036607. View

4.
Lewis M, Neighbors C, Geisner I, Lee C, Kilmer J, Atkins D . Examining the associations among severity of injunctive drinking norms, alcohol consumption, and alcohol-related negative consequences: the moderating roles of alcohol consumption and identity. Psychol Addict Behav. 2010; 24(2):177-89. PMC: 2891553. DOI: 10.1037/a0018302. View

5.
Arria A, Caldeira K, Vincent K, Bugbee B, OGrady K . False identification use among college students increases the risk for alcohol use disorder: results of a longitudinal study. Alcohol Clin Exp Res. 2013; 38(3):834-43. PMC: 3959274. DOI: 10.1111/acer.12261. View