Appetitive startle modulation in the human laboratory predicts Cannabis craving in the natural environment

Mereish, Ethan H.; Padovano, Hayley Treloar; Wemm, Stephanie; Miranda, Robert

doi:10.1007/s00213-018-4890-z

Cited by 6 publications

(6 citation statements)

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“…Gray et al (2018) examined predictors of treatment dropout including variables: baseline grams per use day and percent use days, medication side effects, and cannabis-related problems. Mereish et al (2018) focused on laboratory-measured startle response to predict real-world cue-elicited craving. Treloar Padovano and Miranda (2018a) used prerandomization data to examine daily associations between cannabis-use quantity, craving, and cannabis subjective responses of energized, excited, sedated, sluggish, and high.…”

Section: Appendix 1 Data Transparencymentioning

confidence: 99%

A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults.

Berey,

Meisel,

Pielech

et al. 2024

Experimental and Clinical Psychopharmacology

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This study examined day-level associations between trouble sleeping and three cannabis-use indices (likelihood/quantity of use and impaired control). We evaluated behavioral and cognitive mediators of the association between trouble sleeping and cannabis outcomes. Youth (N = 86, ages 15-24, 48.8% female, 58.8% White, 18.6% Latine) who regularly used cannabis were recruited for an intervention study. This preregistered secondary data analysis leveraged data from a 1-week ecological momentary assessment (EMA) study completed prior to intervention. Trouble sleeping, cannabis use, and impaired control over use were assessed each morning; negative affect, risk-taking propensity, and cannabis craving were assessed multiple times and aggregated to create a daily average. Multilevel structural equation modeling evaluated hypothesized temporally sequenced associations and putative mechanisms at the day (i.e., within) and person (i.e., between) level. In bivariate analyses at the person level, there were large-effect associations between trouble sleeping and craving and negative affect, and between craving and cannabis-use likelihood and quantity (rs from .34 to .48). In multilevel analyses at the day level, participants were less likely to use cannabis the next day after reporting more trouble sleeping (β = −.65, p < .001). Trouble sleeping was not directly associated with subsequent cannabis-use quantity or impaired control, or indirectly via negative affect, risk-taking propensity, or craving. Trouble sleeping had differential relations with cannabis-use indices at the day and person levels. To promote youth health and reduce cannabis use, future research may consider the unique, person-and situation-driven mechanistic processes at play. Public Health SignificanceThis analysis used temporally sequenced data to examine if variations in youths' trouble sleeping related to next-day cannabis-use behaviors, and if deviations in negative affect, risk-taking propensity, and craving explained associations between trouble sleeping and cannabis behaviors. On days when youth reported more trouble sleeping than their own average, they were less likely to use cannabis the following day. This study is the first to investigate daily mechanisms relating sleep to cannabis use among youth, and provides insight for future research through investigating real-world mediational pathways linking sleep to cannabis use.

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Section: Appendix 1 Data Transparencymentioning

confidence: 99%

A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults.

Berey,

Meisel,

Pielech

et al. 2024

Experimental and Clinical Psychopharmacology

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“…Time was divided into four equal periods: 12 a.m. to 5:59 a.m., 6 a.m. to 11:59 a.m., 12 p.m. to 5:59 p.m., 6 p.m. to 11:59 p.m. In line with prior work (Mereish et al, 2018), time was coded such that 12 a.m. to 5:59 a.m. served as the reference group.…”

Section: Time Of Daymentioning

confidence: 99%

Peer‐elicited alcohol craving in adolescents and emerging adults: Bridging the laboratory and natural environment

Meisel

Padovano

Pielech

et al. 2023

Alcohol: Clinical and Experimental Research

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Background Although peers figure prominently in developmental models of alcohol use, our understanding of the influence of peer social context in cue reactivity paradigms with adolescents and emerging adults in the human laboratory and the natural environment is limited. This study tested associations between alcohol craving among youth in the human laboratory using alcohol‐related images, with and without peers, and in the natural environment using ecological momentary assessment (EMA). Methods Data for this preregistered secondary analysis were collected prior to randomization in two medication trials (N = 115). Participants completed an image cue exposure paradigm at the baseline laboratory session followed by approximately 7 days of EMA. Results In the laboratory, model‐based mean comparisons from multilevel models (MLMs) showed that all drinking images elicited greater craving than neutral images. No differences were observed across the three image categories containing alcohol. Image category by age interactions demonstrated that, compared to older youth, younger youth displayed lower craving in response to neutral versus social drinking context with peers images and older, compared to younger, youth displayed higher craving in response to nonsocial drinking images versus social drinking contexts with peers images. In the natural environment, craving was greatest when youth were in the presence of alcohol‐using peers and alcohol‐related cues, regardless of age. Laboratory craving to alcohol images was positively associated with craving in the natural environment. Conclusions For youth, peers are a salient social context associated with increased craving, particularly in the natural environment. Laboratory cue reactivity to alcohol images predicted real‐world craving, further supporting the ecological validity of this paradigm in youth.

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“…We identified 8 studies (Table 1) that have used tasks in the laboratory and associated their readouts with self-reported EMA data on substance use collected in the field. For example, Mereish et al [21] measured appetitive startle responses to cannabis pictures in the laboratory using a startle response task. Next, participants reported cannabis cue exposure and craving, in the field.…”

Section: Mobile Data Collection Of Behavioral Tasks In Substance Use ...mentioning

confidence: 99%

“…Next, participants reported cannabis cue exposure and craving, in the field. Using this method, Mereish et al [21] found that reduced appetitive startle responses were associated with a reduced influence of cue exposure on craving. In the same sample, Miranda et al [22] measured working memory (WM) in the laboratory and found that increased WM performance/capacity was associated with a reduced influence of stress on cannabis craving in the field.…”

Section: Mobile Data Collection Of Behavioral Tasks In Substance Use ...mentioning

confidence: 99%

“…After reviewing titles of all 637 search results and abstracts of 236 articles, we included 18 articles in this review. For example, Mereish et al [21] measured appetitive startle responses to cannabis pictures in the laboratory using a startle response task. Next, participants reported cannabis cue exposure and craving, in the field.…”

Section: Section 1: Tasks In the Laboratory And Self-reports Of Subst...mentioning

confidence: 99%

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Mobile Data Collection of Cognitive-Behavioral Tasks in Substance Use Disorders: Where Are We Now?

et al. 2022

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Introduction: Over the last decades, our understanding of the cognitive, motivational, and neural processes involved in addictive behavior has increased enormously. A plethora of laboratory-based and cross-sectional studies has linked cognitive-behavioral measures to between-subject differences in drinking behavior. However, such laboratory-based studies inevitably suffer from small sample sizes and the inability to link temporal fluctuations in task measures to fluctuations in real-life substance use. To overcome these problems, several existing behavioral tasks have been transferred to smartphones to allow studying cognition in the field. Method: In this narrative review, we first summarize studies that used existing behavioral tasks in the laboratory and self-reports of substance use with ecological momentary assessment (EMA) in the field. Next, we review studies on psychometric properties of smartphone-based behavioral tasks. Finally, we review studies that used both smartphone-based tasks and self-reports with EMA in the field. Results: Overall, studies were scarce and heterogenous both in tasks and in study outcomes. Nevertheless, existing findings are promising and point toward several methodological recommendations: concerning psychometrics, studies show that – although more systematic studies are necessary – task validity and reliability can be improved, for example, by analyzing several measurement sessions at once rather than analyzing sessions separately. Studies that use tasks in the field, moreover, show that power can be improved by choosing sampling schemes that combine time-based with event-based sampling, rather than relying on time-based sampling alone. Increasing sampling frequency can further increase power. However, as this also increases the burden to participants, more research is necessary to determine the ideal sampling frequency for each task. Conclusion: Although more research is necessary to systematically study both the psychometrics of smartphone-based tasks and the frequency at which task measures fluctuate, existing studies are promising and reveal important methodological recommendations useful for researchers interested in implementing behavioral tasks in EMA studies.

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Appetitive startle modulation in the human laboratory predicts Cannabis craving in the natural environment

Abstract: Our findings support cue-modulated startle reactivity as an index of the phenotypic expression of cue-elicited cannabis craving.

Cited by 6 publications

References 46 publications

A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults.

A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults.

Peer‐elicited alcohol craving in adolescents and emerging adults: Bridging the laboratory and natural environment

Mobile Data Collection of Cognitive-Behavioral Tasks in Substance Use Disorders: Where Are We Now?

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