Evaluating the combination of a Brief Motivational Intervention plus Cognitive Behavioral Therapy for Depression and heavy episodic drinking in college students

Differentiating action from inaction: Longitudinal relations among impulsive personality traits, internalizing symptoms, and drinking behavior

BACKGROUND

Impulsive personality traits are strong, consistent risk factors for heavy drinking, and modern theories suggest that impulsive traits may also confer risk for internalizing symptoms. However, it remains unclear which specific impulsive traits are linked with heavy drinking versus internalizing symptoms, and whether heavy drinking and internalizing symptoms are mechanisms of risk for negative alcohol consequences in impulsive individuals.

METHOD

Data are from a longitudinal study of young adults (N = 448, Mage = 22.27, 43.5 % female) assessed at baseline (T1), 6 months (T2), and one year later (T3). Longitudinal path models tested whether T1 impulsive traits (i.e., lack of premeditation, lack of perseverance, sensation seeking, positive urgency, negative urgency) were indirectly associated with T3 negative alcohol consequences through heavy T2 drinking and T2 internalizing symptoms (i.e., depression, anxiety, stress). Separate models were tested for positive and negative urgency given strong correlations between these measures.

RESULTS

Across models, T1 lack of premeditation indirectly predicted more T3 negative alcohol consequences through heavy T2 drinking. When tested separately, T1 negative urgency indirectly predicted more T3 negative consequences through higher T2 stress and depressive (but not anxiety) symptoms, and T1 positive urgency predicted higher T2 anxiety symptoms, but T2 anxiety was unrelated to T3 negative consequences. Across models, T1 sensation seeking indirectly predicted less T3 negative consequences through decreased T2 depression.

CONCLUSIONS

Distinct impulsive traits prospectively predicted heavy drinking and internalizing symptoms, both of which conferred risk for negative alcohol consequences. Findings underscore the importance of targeted interventions based on personality and suggest that decreases in drinking may be more effective prevention for those who lack premeditation, whereas decreases in internalizing, particularly depression/stress, may be critical for those high in negative urgency.

Motivational interviewing for substance use reduction

BACKGROUND

Substance use is a global issue, with around 30 to 35 million individuals estimated to have a substance-use disorder. Motivational interviewing (MI) is a client-centred method that aims to strengthen a person's motivation and commitment to a specific goal by exploring their reasons for change and resolving ambivalence, in an atmosphere of acceptance and compassion. This review updates the 2011 version by Smedslund and colleagues.

OBJECTIVES

To assess the effectiveness of motivational interviewing for substance use on the extent of substance use, readiness to change, and retention in treatment.

SEARCH METHODS

We searched 18 electronic databases, six websites, four mailing lists, and the reference lists of included studies and reviews. The last search dates were in February 2021 and November 2022.

SELECTION CRITERIA

We included randomised controlled trials with individuals using drugs, alcohol, or both. Interventions were MI or motivational enhancement therapy (MET), delivered individually and face to face. Eligible control interventions were no intervention, treatment as usual, assessment and feedback, or other active intervention.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane, and assessed the certainty of evidence with GRADE. We conducted meta-analyses for the three outcomes (extent of substance use, readiness to change, retention in treatment) at four time points (post-intervention, short-, medium-, and long-term follow-up).

MAIN RESULTS

We included 93 studies with 22,776 participants. MI was delivered in one to nine sessions. Session durations varied, from as little as 10 minutes to as long as 148 minutes per session, across included studies. Study settings included inpatient and outpatient clinics, universities, army recruitment centres, veterans' health centres, and prisons. We judged 69 studies to be at high risk of bias in at least one domain and 24 studies to be at low or unclear risk. Comparing MI to no intervention revealed a small to moderate effect of MI in substance use post-intervention (standardised mean difference (SMD) 0.48, 95% confidence interval (CI) 0.07 to 0.89; I2 = 75%; 6 studies, 471 participants; low-certainty evidence). The effect was weaker at short-term follow-up (SMD 0.20, 95% CI 0.12 to 0.28; 19 studies, 3351 participants; very low-certainty evidence). This comparison revealed a difference in favour of MI at medium-term follow-up (SMD 0.12, 95% CI 0.05 to 0.20; 16 studies, 3137 participants; low-certainty evidence) and no difference at long-term follow-up (SMD 0.12, 95% CI -0.00 to 0.25; 9 studies, 1525 participants; very low-certainty evidence). There was no difference in readiness to change (SMD 0.05, 95% CI -0.11 to 0.22; 5 studies, 1495 participants; very low-certainty evidence). Retention in treatment was slightly higher with MI (SMD 0.26, 95% CI -0.00 to 0.52; 2 studies, 427 participants; very low-certainty evidence). Comparing MI to treatment as usual revealed a very small negative effect in substance use post-intervention (SMD -0.14, 95% CI -0.27 to -0.02; 5 studies, 976 participants; very low-certainty evidence). There was no difference at short-term follow-up (SMD 0.07, 95% CI -0.03 to 0.17; 14 studies, 3066 participants), a very small benefit of MI at medium-term follow-up (SMD 0.12, 95% CI 0.02 to 0.22; 9 studies, 1624 participants), and no difference at long-term follow-up (SMD 0.06, 95% CI -0.05 to 0.17; 8 studies, 1449 participants), all with low-certainty evidence. There was no difference in readiness to change (SMD 0.06, 95% CI -0.27 to 0.39; 2 studies, 150 participants) and retention in treatment (SMD -0.09, 95% CI -0.34 to 0.16; 5 studies, 1295 participants), both with very low-certainty evidence. Comparing MI to assessment and feedback revealed no difference in substance use at short-term follow-up (SMD 0.09, 95% CI -0.05 to 0.23; 7 studies, 854 participants; low-certainty evidence). A small benefit for MI was shown at medium-term (SMD 0.24, 95% CI 0.08 to 0.40; 6 studies, 688 participants) and long-term follow-up (SMD 0.24, 95% CI 0.07 to 0.41; 3 studies, 448 participants), both with moderate-certainty evidence. None of the studies in this comparison measured substance use at the post-intervention time point, readiness to change, and retention in treatment. Comparing MI to another active intervention revealed no difference in substance use at any follow-up time point, all with low-certainty evidence: post-intervention (SMD 0.07, 95% CI -0.15 to 0.29; 3 studies, 338 participants); short-term (SMD 0.05, 95% CI -0.03 to 0.13; 18 studies, 2795 participants); medium-term (SMD 0.08, 95% CI -0.01 to 0.17; 15 studies, 2352 participants); and long-term follow-up (SMD 0.03, 95% CI -0.07 to 0.13; 10 studies, 1908 participants). There was no difference in readiness to change (SMD 0.15, 95% CI -0.00 to 0.30; 5 studies, 988 participants; low-certainty evidence) and retention in treatment (SMD -0.04, 95% CI -0.23 to 0.14; 12 studies, 1945 participants; moderate-certainty evidence). We downgraded the certainty of evidence due to inconsistency, study limitations, publication bias, and imprecision.

AUTHORS' CONCLUSIONS

Motivational interviewing may reduce substance use compared with no intervention up to a short follow-up period. MI probably reduces substance use slightly compared with assessment and feedback over medium- and long-term periods. MI may make little to no difference to substance use compared to treatment as usual and another active intervention. It is unclear if MI has an effect on readiness to change and retention in treatment. The studies included in this review were heterogeneous in many respects, including the characteristics of participants, substance(s) used, and interventions. Given the widespread use of MI and the many studies examining MI, it is very important that counsellors adhere to and report quality conditions so that only studies in which the intervention implemented was actually MI are included in evidence syntheses and systematic reviews. Overall, we have moderate to no confidence in the evidence, which forces us to be careful about our conclusions. Consequently, future studies are likely to change the findings and conclusions of this review.

Trajectories of Emerging Adults' Binge Drinking and Depressive Symptoms and Associations With Sexual Violence Victimization: Examining Differences by Sexual and Gender Minority Status

We examined longitudinal associations between binge drinking (BD), depressive symptoms, and sexual violence (sexual harassment and sexual assault) among sexual and gender minority (SGM) and non-SGM emerging adults. Data were drawn from four annual web-based surveys of a diverse cohort of 2,553 emerging adults, spanning from approximately age 19 (2016) to age 22 (2020). About 18% were SGM individuals. We tested a multigroup parallel process latent growth curve model (recent depression symptoms; past-year BD) with time-varying covariates (past-year sexual harassment; sexual assault) to determine associations of sexual violence with BD and depression outcomes over time, and whether growth curves and associations differed by SGM status. For both SGM and non-SGM emerging adults, past-year sexual harassment was associated with depressive symptoms at each time point, but harassment was not associated with BD. For both groups, sexual assault was associated with both depressive symptoms and BD. To our knowledge, this is the first study to examine longitudinal, contemporaneous associations of sexual violence (including both harassment and assault as distinct constructs), with BD and depressive symptoms among racially and ethnically diverse emerging adults, comparing SGM and non-SGM groups. Although our models do not disentangle directionality or causality, the findings suggest the need to address sexual violence victimization (assault and harassment) in the context of depression screening and treatment, and vice versa. We discuss a number of intervention strategies currently in use for an implicitly non-SGM general population that could be adapted for greater inclusion of and relevance to SGM populations.

Do interventions principally targeting excessive alcohol use in young people improve depression symptoms?: a systematic review and meta-analysis

BACKGROUND

Excessive alcohol use is common in young people and is associated with a range of adverse consequences including an increased risk of depression. Alcohol interventions are known to be effective in young people, however it is not known if these interventions can also improve depression.

OBJECTIVE

To investigate whether psychosocial interventions principally targeting excessive alcohol use in young people reduce depression symptoms compared to controls.

DESIGN

We conducted a systematic review and meta-analysis of controlled intervention trials, that measured depression symptoms at follow-up. We used a generic inverse variance random effect meta-analysis to pool the standardised mean difference in change in depression symptoms from baseline to follow-up between intervention and control arms. We used I² to measure heterogeneity, the Cochrane tool for randomised trials to assess risk of bias, and Egger's tests to assess small study bias.

DATA SOURCES

APA PsycNET, PubMed, Cochrane Central Register of Controlled Trials, Web of Science, Embase (including MEDLINE), and clinicaltrials.gov were searched for relevant studies published from inception to December 2020. Reference lists of studies were also searched, and authors contacted where articles presented insufficient data.

STUDY ELIGIBILITY CRITERIA

Intervention studies that primarily targeted existing excessive alcohol use in young people (aged 10 to 24) and assessed depression outcomes at baseline with a minimum of four-week follow-up.

RESULTS

Five studies were included in the meta-analysis. Interventions targeting excessive alcohol use were associated with a reduction in depression symptoms from baseline to follow-up when compared to control, standardised mean difference = - 0.26, and 95% confidence interval [- 0.41, - 0.12], p < .001.

CONCLUSIONS

This study found evidence that interventions primarily targeting excessive alcohol use can reduce depression symptoms in young people. However, this finding should be taken with caution given concerns about risk of bias in all studies. More research is needed to examine whether these findings generalise beyond populations of undergraduate students primarily living in high income countries.

TRIAL REGISTRATION

PROSPERO registration number: CRD42020177260 .

Going against the Norm: A Mixed Methods Analysis of College Students' Arguments against the College Drinking Culture

College alcohol beliefs (e.g. "College is a time for experimentation with alcohol") are highly predictive of heavy drinking and its consequences. Yet, current college alcohol interventions do not address this belief system even though researchers have recommended that these beliefs be targeted. Using a mixed methods approach, we conducted two studies to generate arguments against the college drinking culture and to evaluate the effectiveness of such arguments. In Study 1, freshman students (N = 104, 65% women) wrote an essay to a fictitious roommate presenting arguments against the college drinking culture. Responses were reliably coded into a 19-category scheme. The most common arguments included that (1) one's focus should be on academics, (2) drinking will lead to academic consequences, and (3) drinking is not a rite of passage in college. In Study 2, college students (N = 488) rated the effectiveness of prototype arguments drawn from each Study 1 category. According to their ratings, the most effective arguments were that (1) one's focus should be on academics, (2) drinking could have a negative impact on one's career, and (3) one could do potential harm to others. The student-generated arguments against the college drinking culture identified in his research have inherent ecological validity and will help inform the development of new interventions to counter such beliefs. We offer suggestions for translating our findings into clinical interventions.The problem of college student drinking has been long-standing (Kilmer et al., 2014) and remains a significant public health issue today (Hingson et al., 2017). Decades of research on college student drinking and its consequences have identified key cognitive factors that underlie drinking and its consequences, such as the misperception of norms for drinking (Borsari & Carey, 2003) and the positive expectancies students hold about the effects of drinking (Jones et al., 2001; Monk & Heim, 2013). The robust relationships between these cognitive variables and alcohol consumption among college students have led to the development of interventions that target these variables. Social norms marketing campaigns (DeJong et al., 2006), personalized normative feedback (Lewis & Neighbors, 2006), and expectancy challenge techniques (Scott-Sheldon et al., 2012) have been a part of interventions designed to correct students' misperceptions about the percentage of and amount students drink and the effects that alcohol has on their functioning in social situations. Reviews of the literature have demonstrated that interventions containing these components are effective for first year students (Scott-Sheldon et al., 2014) and mandated students (Carey et al., 2016), except for interventions targeting student members of Greek letter organizations (Scott-Sheldon et al., 2016). Effect sizes in most interventions across freshman and mandated students tend to be modest and not very durable in the long-term (Carey et al., 2016; Scott-Sheldon et al., 2014). However, recent research reveals that a variety of new intervention strategies may be useful in addressing the problem of college student drinking (Dunn et al., 2020; Kazemi et al., 2020; King et al., 2020; Magill et al., 2017; Pedrelli et al., 2020; Young & Neighbors, 2019). Aside from social norms and positive alcohol expectancies, another cognitive variable has been found to be a very robust predictor, mediator, and moderator of college student drinking and its consequences - college alcohol beliefs (Crawford & Novak, 2006; Osberg et al., 2010).

Using Demand Curves to Quantify the Reinforcing Value of Social and Solitary Drinking

BACKGROUND

Young adults typically drink in social settings and report high levels of episodic heavy drinking despite a range of adverse consequences. Behavioral economics posits that this may reflect a reinforcer pathology in which alcohol is overvalued relative to other reinforcers. Theoretically, the value of alcohol is related to both the direct pharmacological effects of alcohol (euphoria, sedation) and the associated social reinforcement, but to date no studies have differentiated the value of social vs. solitary drinking. The current study examines two modified hypothetical alcohol purchase tasks (APTs), one explicitly social and one explicitly solitary, in order to quantify the reward value of social vs. solitary drinking and to determine whether there are unique clinical correlates of solitary alcohol demand.

METHODS

Participants were young adults (N = 274, Mage  = 25.15, SD = 4.10) recruited from Mturk and from a university subject pool. Participants completed a solitary and social APT, in addition to measures of alcohol consumption and problems.

RESULTS

Participants reported significantly greater demand in the social APT compared to the solitary APT across all demand indices. Elevated solitary and social demand were associated with elevated levels of alcohol use and problems. Using a residualized change approach, solitary demand amplitude (maximum consumption and expenditure) and persistence (price sensitivity) contributed additional variance above and beyond their social APT composite counterparts in predicting typical drinks per week and the self-care, academic/occupational, and physical dependence subscales of the YAACQ.

CONCLUSIONS

The presence of peers increases alcohol demand compared to a solitary scenario, and greater relative solitary drinking demand may be a risk factor for greater alcohol consumption and problems.