Intensive Longitudinal Methods for Studying the Role of Self-Regulation Strategies in Substance Use Behavior Change

Roos, Corey R.; Kober, Hedy; Trull, Timothy J.; MacLean, R. Ross; Mun, Chung Jung

doi:10.1007/s40429-020-00329-5

Cited by 22 publications

(15 citation statements)

References 78 publications

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“…Despite the promise of the present findings and their implications for smoking cessation treatment, there are some limitations that are worth mentioning. First, although daily diary measures are a valid and often preferred method to capture daily substance use behaviors in vivo (Roos et al, 2020), our main outcome measure (cigarettes smoked per day) was nonetheless estimated from self-report. Future studies can and should incorporate additional validation of smoking (e.g., via carbon monoxide or urine cotinine measures)-which is now our practice as well (Kober, Brewer, Height, & Sinha, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…We included both strategies to test whether they would be equally or differentially effective. Across both studies, participants completed ROC-T via computer in the lab, and we measured their post-intervention craving and smoking behaviors with daily diary surveys, an ecologically-valid and increasingly common way to assess longitudinal changes in substance use behaviors (Roos, Kober, Trull, MacLean, & Mun, 2020), as well as follow-up telephone interviews. Two primary hypotheses were tested in both studies, building on previous studies of the efficacy of cognitive strategies in attenuating craving (e.g., Kober et al, 2010a;2010b;Lopez et al, 2015;.…”

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confidence: 99%

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Brief training in regulation of craving reduces cigarette smoking

Lopez

Ochsner

Kober

2022

Journal of Substance Abuse Treatment

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Brief training in regulation of craving reduces cigarette smoking

Lopez

Ochsner

Kober

2022

Journal of Substance Abuse Treatment

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“…Perceived effectiveness may be examined by directly asking participants whether a given strategy helped or changed how they felt (e.g., Daniel et al, 2019) or may be deduced from negative affect ratings following emotion-regulation efforts (e.g., King et al, 2018). Alternatively, identifying strategy effectiveness may be tied to specific events or outcomes also measured via EMA, such as physical health symptoms (e.g., Massey et al, 2009) or alcohol/substance use (e.g., Roos et al, 2020). Furthermore, given the ability to ask a range of questions within one set of momentary surveys, multiple components of the emotion-regulation process may be examined simultaneously using this method; indeed, several studies have included inquiries about both strategy use and effectiveness (e.g., Daniel et al, 2019;Lennarz et al, 2019) or context and strategy use (e.g., Stone et al, 2019).…”

Section: Implementation Effectiveness and Modificationmentioning

confidence: 99%

Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review

Bettis

Burke

Nesi

et al. 2021

Clinical Psychological Science

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The ability to regulate emotions in response to stress is central to healthy development. Whereas early research in emotion regulation predominantly employed static, self-report measurement, the past decade has seen a shift in focus toward understanding the dynamic nature of regulation processes. This is reflected in recent refinements in the definition of emotion regulation that emphasize the importance of the ability to flexibly adapt regulation efforts across contexts. The latest proliferation of digital technologies employed in mental health research offers the opportunity to capture the state- and context-sensitive nature of emotion regulation. In this conceptual review, we examine the use of digital technologies (ecological momentary assessment; wearable and smartphone technology, physical activity, acoustic data, visual data, and geo-location; smart-home technology; virtual reality; social media) in the assessment of emotion regulation and describe their application to interventions. We also discuss challenges and ethical considerations and outline areas for future research.

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“…We build upon existing research describing the use of crowdsourcing recruitment by demonstrating how the Prolific platform can be leveraged for brief longitudinal data collection. Intensive longitudinal designs increasingly are used in research on substance use course, mechanisms, and assessment (e.g., Carpenter et al, 2019;Roos et al, 2020;Weiss et al, 2017), but with some exceptions (e.g., Strickland & Stoops, 2018;, prior studies using crowdsourcing platforms have relied heavily on cross-sectional designs. Furthermore, prior reviews and studies describing the use of crowdsourcing methods for substance use research have focused primarily on AMT (e.g., Arditte et al, 2020;Mellis & Bickel, 2020;Schick et al, 2019), such that demonstrating the utility of other platforms such as Prolific is useful for making researchers aware of the strengths and limitations of other available options.…”

Section: Recommendations For Repeated Assessment and Psychometric Studiesmentioning

confidence: 99%

A Multisample Demonstration of Using the Prolific Platform for Repeated Assessment and Psychometric Substance Use Research

Stanton¹,

Carpenter²

2021

Preprint

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We present data from multiple samples demonstrating the Prolific platform’s potential for efficiently collecting data for substance use research involving repeated assessments, including for psychometric research requiring large samples. First, we present data from a 5-day daily diary protocol. We recruited a large sample (N = 321 at Day 1) screened for a history of self-identified mental health issues and weekly alcohol use. Participant adherence was good (82%) even without in-person contact. Alcohol use patterns conformed to theoretical expectations: Participants were more likely to drink on Fridays and Saturdays than other days, men drank more than women, and higher Alcohol Use Disorders Identification Test (AUDIT; Saunders et al., 1993) scores were associated with an increased likelihood of use and more overall drinking. Second, we present data from 429 Prolific participants screened for a history of mental health issues who completed assessments 2 weeks apart with strong retention (N = 377; 88%). We compare these data with data from undergraduates (N = 529) to demonstrate Prolific’s utility for conducting psychometrically-oriented substance use research. Internal consistency estimates for measures from the Prolific data matched or exceeded those from the undergraduate data. Furthermore, measure scores showed strong temporal stability, and factor structures (e.g., AUDIT item level structures) conformed to theoretical expectations. Collectively, findings indicate that Prolific can be used successfully for repeated measures data collection. We also provide recommendations for using Prolific to target participant recruitment for repeated measures studies, especially in the areas of psychometric and substance use research.

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Intensive Longitudinal Methods for Studying the Role of Self-Regulation Strategies in Substance Use Behavior Change

Cited by 22 publications

References 78 publications

Brief training in regulation of craving reduces cigarette smoking

Brief training in regulation of craving reduces cigarette smoking

Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review

A Multisample Demonstration of Using the Prolific Platform for Repeated Assessment and Psychometric Substance Use Research

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