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Coping and emotion regulation profiles as predictors of nonmedical prescription drug and illicit drug use among high-risk young adults
Journal article   Open access   Peer reviewed

Coping and emotion regulation profiles as predictors of nonmedical prescription drug and illicit drug use among high-risk young adults

Carolyn F Wong, Karol Silva, Aleksandar Kecojevic, Sheree M Schrager, Jennifer Jackson Bloom, Ellen Iverson and Stephen E Lankenau
Drug and alcohol dependence, v 132(1-2), pp 165-171
01 Sep 2013
DOI: https://doi.org/10.1016/j.drugalcdep.2013.01.024
PMID: 23453258
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1016/j.drugalcdep.2013.01.024View
Published, Version of Record (VoR) Open

Abstract

Adaptation, Psychological - physiology Predictive Value of Tests Tranquilizing Agents Central Nervous System Stimulants Prevalence Humans Male Data Collection Socioeconomic Factors Child Abuse Street Drugs Young Adult Substance-Related Disorders - epidemiology Female Child Emotions - physiology Prescription Drug Diversion - statistics & numerical data Analgesics, Opioid Cross-Sectional Studies Los Angeles - epidemiology Neuropsychological Tests Prescription Drug Diversion - psychology Adolescent Substance-Related Disorders - psychology New York City - epidemiology
Deficits in the ability to organize, integrate, and modulate emotions, thoughts, and behaviors when dealing with stress have been found to be related to the onset and escalation of substance use among adolescents and young adults. However, limited research has focused on understanding how coping and emotion regulation tendencies might be associated with different patterns of prescription and illicit drug use, particularly among high-risk young adults who may already face additional challenges relative to lower-risk populations. Young adults aged 16-25 years who had misused prescription drugs within the past 90 days were interviewed in Los Angeles and New York. The current study utilized latent profile analysis to empirically derive coping and emotion regulation typologies/profiles that are then used to predict different patterns of substance use (N=560). Four latent classes/groups were identified: (1) suppressors, (2) others-reliant copers, (3) self-reliant copers and (4) active copers. Distinct patterns of prescription and illicit drug misuse were found among different coping/emotion regulation profiles, including differences in age of initiation of opiates, tranquilizers, and illicit drugs, recent injection drug use, substance use-related problems, and past 90-day use of tranquilizers, heroin, and cocaine. Specifically, suppressors and others-reliant copers evidenced more problematic patterns of substance use compared to active copers. This is among the first studies to show how coping and emotion regulation profiles predict distinct patterns of substance use. Results provide the groundwork for additional investigations that could have significant prevention and clinical implications for substance-using high-risk young adults.

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79 citations in Web of Science
81 citations in Scopus

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UN Sustainable Development Goals (SDGs)

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#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Psychiatry
Substance Abuse
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