Predictors of unplanned drinking in daily life: The influence of context, impulsivity, and craving in those with emotion dysregulation

Beyond the mean: examining associations between intraindividual variability in posttraumatic stress disorder symptoms and posttrauma reckless behaviors

BACKGROUND/OBJECTIVES

Posttrauma reckless behaviors have been linked to the onset and exacerbation of posttraumatic stress disorder (PTSD) symptoms. However, PTSD symptoms fluctuate across time, triggered by environmental stimuli in daily life, referred to as (intraindividual) variability in PTSD symptoms.

DESIGN

We utilized experience sampling methods to investigate associations between engagement in posttrauma reckless behaviors and variability in PTSD symptoms and the moderating role of emotion dysregulation in this association.

METHODS

Data from 166 trauma-exposed university students (Mage = 21.43 ± 5.07, 85.4% women) were collected between January 2019 to August 2020. Participants completed baseline and follow-up surveys to assess engagement in posttrauma reckless behaviors and daily surveys (10-days) to assess variability in PTSD symptoms. Results. Analyzes indicated greater baseline engagement in posttrauma reckless behaviors was associated with greater 10-day variability in PTSD symptoms (β = 0.23, p = .031), and baseline emotion dysregulation moderated this association (β = -0.33, p = .003). Additionally, greater 10-day variability in PTSD symptoms was associated with greater follow-up engagement in posttrauma reckless behaviors (β = 0.14, p = .045).

CONCLUSIONS

Findings substantiate the interplay between engagement in posttrauma reckless behaviors and daily fluctuations in PTSD symptoms and support therapeutically targeting both engagement in posttrauma reckless behaviors and emotion dysregulation to impact PTSD symptoms.

A daily diary exploration of contexts and experiences associated with planned drinking decisions in young adults

OBJECTIVE

Despite the potential for negative consequences, young adults continually engage in heavy alcohol use. Unplanned (vs. planned) drinking has been of particular interest in several studies, as it is theoretically suggested to be related to poor behavioral regulation and negative consequences. Ecological momentary assessment and daily diary (DD) studies have been used to examine the contexts and consequences of planned and unplanned drinking specifically, resulting in somewhat mixed findings surrounding the factors contributing to and consequences of planned drinking. The present DD study adds to this literature by studying rewarding incentives and physical contexts of planned versus unplanned alcohol use, as well as the experiences, or consequences, of planned drinking events.

METHOD

Ninety-nine young adults took part in a mobile study investigating drinking decisions for the current day and day prior, reporting the rewarding incentives contributing to their decision, the context of drinking events, and the experience of each event.

RESULTS

Planned drinking was associated with being influenced by social/party and alcohol incentives, as well as being at a bar and pregaming. There was a positive relationship between planned drinking and subjective level of intoxication, but not negative or positive experience.

CONCLUSIONS

Planned drinking is likely associated with rewarding incentives and social contexts and may contribute to higher levels of subjective intoxication. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Distress tolerance, coping motives, and alcohol craving and consumption: Two experiments testing momentary responses to a mood induction

BACKGROUND

The current studies examined the relationship between state and trait distress tolerance (DT), drinking-related variables (alcohol craving and consumption), and the moderating role of drinking to cope with negative affect (i.e., coping motives).

METHODS

Study 1 was a laboratory-based experiment. Participants (n=71) completed measures of trait DT, craving, coping motives, and affect valence prior to a negative mood induction task. Post-mood induction, participants completed measures of affect valence, alcohol craving, and state DT. Next, participants completed an alcohol taste task, measuring alcohol consumption. Study 2 was completed online. Participants (n=592) completed the same pre- and post-mood induction measures as study 1, but were randomized to a mood condition (neutral, negative, or positive). Study 2 did not include alcohol consumption.

RESULTS

Negative mood induction lowered reported affect in both studies. In study 1, higher coping motives predicted increased craving in response to negative mood induction but state and trait DT did not predict craving change alone. Contrary to our hypothesis, individuals with higher coping motives showed a positive relationship between trait DT and craving. Analyses predicting alcohol consumption were not significant. In study 2, lower trait DT predicted post-mood induction craving prior to inclusion of interactions in the model. Higher coping motives were the strongest and most consistent predictor of craving. Other predictors (state DT, mood condition) and interaction terms were not significant.

CONCLUSIONS

Findings broadly align with previous research suggesting that coping motives are predictive of craving and indicate that trait DT may also impact craving.

Early maladaptive schemas and addictive behaviours: A systematic review and meta-analysis

BACKGROUND

Recently, early maladaptive schemas have been increasingly focused as the underlying factor of several psychopathologies. The primary objective is to systematically review and meta-analytically analyse the evidence on the relationship between early maladaptive schemas and types of addictive behaviours. Additionally, the secondary objective was to examine potential moderators of the effect sizes.

METHODS

The systematic search was conducted on three databases including 'Scopus', 'Web of Science' and 'PubMed'. They were searched for quantitative studies investigating the relationship between early maladaptive schemas and addictive behaviours. The studies that were non-English and had insufficient information to calculate effect sizes were excluded. The random-effect model was utilized to estimate the pool effect sizes, and the meta-regression was used for moderation analysis.

RESULTS

Thirty-three studies with 12,577 participants were included for analyses. Most of included studies were conducted in the United States (k = 12, 36.36%). The mean ages of participants varied from 13.32 to 46.09 years. The findings indicated that all of early maladaptive schemas and schema domains positively correlated with addictive behaviours. The disconnection and rejection, impaired limits and impaired autonomy were the domains with the highest association with substance addictions (pool r = 0.338, 3.26 and 3.16, respectively). Furthermore, disconnection and rejection and impaired autonomy were the schema domains with the highest association with behavioural addictions (0.310 and 0.304, respectively). The moderation analysis demonstrated that study design was the factor affecting the effect sizes between schema domain and addictive behaviours.

LIMITATION

All included studies were from peer-reviewed journals in English. Moreover, the number of research examining the relationship between early maladaptive schemas and behavioural addictions was limited.

CONCLUSION

The findings provide evidence supporting the idea that substance addictions and behavioural addictions have shared risk factors, supporting the validity of the schema model, which can be applied for targeting and preventing addictive behaviours.

Predicting Alcohol Consumption Patterns for Individuals with a User-Friendly Parsimonious Statistical Model

Many studies on the relationship between alcohol and health outcome focus primarily on average consumption over time and do not consider how heavy per-occasion drinking may influence apparent relationships. Improved methods concerning the most recent drinking occasion are essential to inform the extent of alcohol-related health problems. We aimed to develop a user-friendly and readily replicable computational model that predicts: (i) an individual's probability of consuming alcohol ≥2, 3, 4… drinks; and (ii) the total number of days during which consumption is ≥2, 3, 4… drinks over a specified period. Data from the 2010 and 2011 National Survey on Drug Use and Health (NSDUH) were used to develop and validate the model. Predictors used in model development were age, gender, usual number of drinks consumed per day, and number of drinking days in the past 30 days. Main outcomes were number of drinks consumed on the last drinking occasion in the past 30 days, and number of days of risky levels of consumption. The area under ROC curves ranged between 0.86 and 0.91 when predicting the number of drinks consumed. Coefficients were very close to 1 for all outcomes, indicating closeness between the predicted and observed values. This straightforward modelling approach can be easily adopted by public health behavioral studies.

To drink or not to drink: When drinking intentions predict alcohol consumption and consequences

OBJECTIVES

We examined daily associations between drinking intentions and drinking behaviour and tested past drinking behaviour and current social environment as potential moderators of the daily intention-behaviour association. We expected both more frequent past drinking and being in a high drinking environment to weaken the intention-behaviour association. We also tested intentionality as a moderator of the association between alcohol consumption and next-day negative outcomes, expecting that less intentional alcohol consumption would be related to greater stress and regret.

DESIGN

We tested these hypotheses using two separate micro-longitudinal studies of college students (Ns = 1,641, 540).

METHODS

In two samples, participants completed bursts of data collection in which they indicated their previous alcohol consumption and then completed 30 days of diary surveys in which they reported their alcohol consumption and social environment the previous evening and their levels of stress, regret, and drinking intentions that day.

RESULT

Consistent with our predictions, drinking intentions more strongly predicted drinking behaviour among individuals with less frequent past drinking behaviour, and, in Sample 1, drinking intentions more strongly predicted drinking behaviour among individuals in a low drinking environment. Contrary to hypotheses, results indicated that individuals with low drinking intentions were more likely to experience stress the next day, particularly if they consumed less alcohol. Greater consumption, however, was related to greater odds of experiencing regret, but this was stronger among individuals with higher drinking intentions.

CONCLUSIONS

Findings are discussed in terms of the complex interplay between intentions and both social environment and contextual factors with respect to predicting drinking level and related problems.

Mobile assessment of decisions to drink in young adults: Examining the role of incentives and disincentives

BACKGROUND

Research on decision-making (DM) biases in persons with alcohol use disorder have largely relied on behavioral economic DM tasks, which do not assess the dynamic multitude of factors associated with real-world decisions about drinking. The current study extends the literature on DM and alcohol use by using a mobile daily diary approach to investigate whether, and how, real-world incentives and disincentives are associated with actual drinking decisions in college students.

METHODS

We assessed current drinking and lifetime alcohol problems in 104 young adults (61.5% female, 84.5% White) who, for 14 days, used a mobile daily diary to respond to questions about drinking decisions from the day prior. Mobile prompts assessed daily data on the timing of drinking decisions, alcohol quantity initially decided to drink, quantity actually decided to drink, and the incentives that influenced drinking decisions.

RESULTS

Users of the app reported high usability, high compliance rates were observed, and incentive responses were reduced to three subtypes: alcohol, social/party, and mood. Daily mobile measures of drinking quantity were strongly correlated with self-reported drinking 2 weeks prior to the daily assessment. Lifetime alcohol problems were positively related to the average quantity decided to drink per event, drinking more than initially decided, and higher levels of self-reported drinking-decision incentives. "Alcohol" and "social/party" incentives were positively related to the quantity the participant decided to drink at drinking events. Mood incentives and disincentives showed little to no significant relationships with drinking decisions.

CONCLUSIONS

The results suggest that mobile data collection can be useful for assessing aspects of real-world drinking decisions and the influence of multiple drinking decision incentives.