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. 2021 Dec;29(6):580-586.
doi: 10.1037/pha0000386. Epub 2020 May 28.

Predicting college student prescription stimulant misuse: An analysis from ecological momentary assessment

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Predicting college student prescription stimulant misuse: An analysis from ecological momentary assessment

Ty S Schepis et al. Exp Clin Psychopharmacol. 2021 Dec.

Abstract

Prescription stimulant misuse (PSM) is common in young adult college students, at over 10% in the past year, and it is associated with other substance use and risk behaviors. Research focused on the real-time drivers of PSM is absent, impeding prevention and intervention. This research aimed to fill that gap by examining the relationships between affect, global stress, or academic stress and PSM via ecological momentary assessment (EMA); we also investigated baseline predictors of PSM frequency during the 21-day EMA period. Forty-one full-time college students (mean age: 20.5, 66% female) who endorsed current PSM (≥ 6 past-year episodes) participated. Participants were asked to complete EMA questions in response to 3 daily investigator-initiated prompts and after every PSM episode. Assessments were selected based on affect regulation (e.g., positive affect [PA], negative affect [NA]) and drug instrumentalization (e.g., academic stress and/or demands) theories of substance use. Mixed-effects linear models examined EMA data, and negative binomial regression analyses examined baseline predictors of PSM episode frequency. PA was higher on PSM days and increased post-PSM, whereas NA was unrelated to PSM. Although global and academic stress were largely unrelated to PSM, when the motive endorsed for PSM was "to study," pre-PSM ratings of academic demand and stress were significantly higher. Finally, a history of recreational motives (e.g., to get high) or higher levels of attention-deficit/hyperactivity disorder symptoms predicted a greater number of PSM episodes over the EMA period. The results offered mixed support for both affect regulation and instrumentalization as applied to PSM. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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Conflict of interest statement

The authors have no conflicts of interest.

Figures

Figure 1:
Figure 1:
Temporal Relationship between Positive Affect and PSM Episodes Positive affect (PA) did not increase or decrease at a significant rate prior to PSM (B= 1.06, SE= .67, p = .115), but it increased at a significant rate following PSM (B= −1.86, SE= .81, p= .023). PA was summed scores for current ratings of “alert”, “inspired”, “determined”, “attentive”, “active” on a 5-point Likert scale (1: “not at all” to 5: “always”).

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