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Dive into the research topics where Adrian J. Bravo is active.

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Featured researches published by Adrian J. Bravo.


Substance Use & Misuse | 2017

Drinking to Cope With Depressive Symptoms and Ruminative Thinking: A Multiple Mediation Model Among College Students

Adrian J. Bravo; Matthew R. Pearson; James M. Henson

ABSTRACT Background: Understanding the potential psychosocial mechanisms that explain (i.e., mediate) the associations between depressive symptoms and alcohol-related problems can improve interventions targeting college students. Objectives: The current research examined four distinct facets of rumination (e.g., problem-focused thoughts, counterfactual thinking, repetitive thoughts, and anticipatory thoughts) and drinking to cope motives as potential explanatory mechanisms by which depressive symptoms are associated with increased alcohol-related problems. Method: Participants were undergraduate students from a large, southeastern university in the United States that consumed at least one drink per typical week in the previous month (n = 403). The majority of participants were female (n = 291; 72.2%), identified as being either White, non-Hispanic (n = 210; 52.1%), or African American (n = 110; 27.3%), and reported a mean age of 21.92 (SD = 5.75) years. Results: Structural equation modeling was conducted examining the concurrent associations between depressive symptoms, rumination facets, drinking to cope motives, and alcohol-related problems (i.e., cross-sectional). There was one significant double-mediated association that suggested that increased depressive symptoms is associated with increased problem-focused thoughts, which is associated with higher drinking to cope motives and alcohol-related problems. Conclusions/Importance: Our results suggests that problem-focused thoughts at least partially explains the associations between depression and maladaptive coping (i.e., drinking to cope), which in turn is related to problematic drinking among college students. Limitations and future directions are discussed.


Drug and Alcohol Dependence | 2017

Distinguishing subpopulations of marijuana users with latent profile analysis

Matthew R. Pearson; Adrian J. Bravo; Bradley T. Conner

BACKGROUND Although marijuana is the most commonly used illicit drug in the United States, little is known about the effects of typical marijuana use patterns and whether there are distinct subgroups of marijuana users. METHODS The present study used latent profile analysis to determine the number of distinct subgroups of marijuana users in a large sample of college students (n=2129 past month marijuana users across 11 universities). We also examined how these distinct groups differ on several putative risk/protective factors (e.g., personality traits, perceptions of marijuana, and motives for using marijuana). RESULTS Using the Lo-Mendell-Rubin Likelihood Ratio Test, we identified four latent classes with the largest class consisting of infrequent marijuana users, and three other classes demonstrating increasingly frequent use and more negative consequences with the most severe class being the smallest class. We found the largest between-class differences (i.e., distinctions across classes) to be on identification with being a marijuana user and use of protective behavioral strategies (PBS), such that the heavier user classes showed higher identification with marijuana users and lower use of PBS. CONCLUSIONS Our findings demonstrate that college student marijuana users are a heterogeneous group with different profiles of risk/protective factors and that those who use marijuana a few times per month are different from those who are near-daily or daily users. Our findings also serve as a call to action for the field to consider examining identification with being a marijuana user and the use of PBS in future marijuana studies.


Addictive Behaviors | 2017

In the process of drinking to cope among college students: An examination of specific vs. global coping motives for depression and anxiety symptoms

Adrian J. Bravo; Matthew R. Pearson

The present study sought to address an issue in the drinking to cope (DTC) motives literature, namely the inconsistent application of treating DTC motives as a single construct and splitting it into DTC-depression and DTC-anxiety motives. Specifically, we aimed to determine if the effects of anxiety and depression on alcohol-related problems are best explained via their associations with DTC with specific affects or via their associations with a more global measure of DTC by testing four distinct models: the effects of anxiety/depression on alcohol-related problems mediated by DTC-anxiety only (Model 1), these effects mediated by DTC-depression only (Model 2), these effects mediated by a combined, global DTC factor (Model 3), and these effects mediated by both DTC-anxiety and DTC-depression (Model 4). Using path analysis/structural equation modeling across two independent samples, we found that there was a significant total indirect effect of both anxiety and depressive symptoms on alcohol-related problems in every model. However, there was a slightly larger indirect effect in all models using the global DTC motives factor compared to even the model that included the two distinct DTC motives. Our results provide some preliminary evidence that at least at the between-subjects level, a global DTC motives factor may have more predictive validity than separate DTC motives. Additional research is needed to examine how to best operationalize DTC motives at different levels of analysis (e.g., within-subjects vs. between subjects) and in different populations (e.g., college students vs. individuals with alcohol use disorder).


Mindfulness | 2018

When Traits Match States: Examining the Associations Between Self-Report Trait and State Mindfulness Following a State Mindfulness Induction

Adrian J. Bravo; Matthew R. Pearson; Adam D. Wilson; Katie Witkiewitz

Previous research has found inconsistent relationships between trait mindfulness and state mindfulness. To extend previous research, we sought to examine the unique associations between self-report trait mindfulness and state mindfulness by levels of meditation experience (meditation-naïve vs. meditation-experienced) and by mindfulness induction (experimentally induced mindful state vs. control group). We recruited 299 college students (93 with previous mindfulness meditation experience) to participate in an experiment that involved the assessment of five facets of trait mindfulness (among other constructs), followed by a mindfulness induction (vs. control), and followed by the assessment of state mindfulness of body and mind. Correlational analyses revealed limited associations between trait mindfulness facets and facets of state mindfulness, and demonstrated that a brief mindfulness exercise focused on bodily sensations and the breath elicited higher state mindfulness of body but not state mindfulness of mind. We found significant interactions such that individuals with previous meditation experience and higher scores on the observing facet of trait mindfulness had the highest levels of state mindfulness of body and mind. Among individuals with meditation experience, the strengths of the associations between observing trait mindfulness and the state mindfulness facets increased with frequency of meditation practice. Some other interactions ran counter to expectations. Overall, the relatively weak associations between trait and state mindfulness demonstrate the need to improve our operationalizations of mindfulness, advance our understanding of how to best cultivate mindfulness, and reappraise the ways in which mindfulness can manifest as a state and as a trait.


Drug and Alcohol Dependence | 2017

The search for an elusive cutoff remains: Problems of binary classification of heavy drinking as an endpoint for alcohol clinical trials

Matthew R. Pearson; Adrian J. Bravo; Megan Kirouac; Katie Witkiewitz

BACKGROUND To examine whether a clinically meaningful alcohol consumption cutoff can be created for clinical samples, we used receiver operator characteristic (ROC) curves to derive gender-specific consumption cutoffs that maximized sensitivity and specificity in the prediction of a wide range of negative consequences from drinking. METHODS We conducted secondary data analyses using data from two large clinical trials targeting alcohol use disorders: Project MATCH (n=1726) and COMBINE (n=1383). RESULTS In both studies, we found that the ideal cutoff for men and women that maximized sensitivity/specificity varied substantially both across different alcohol consumption variables and alcohol consequence outcomes. Further, the levels of sensitivity/specificity were poor across all consequences. CONCLUSIONS These results fail to provide support for a clinically meaningful alcohol consumption cutoff and suggest that binary classification of levels of alcohol consumption is a poor proxy for maximizing sensitivity/specificity in the prediction of negative consequences from drinking. Future research examining consumption-consequence associations should take advantage of continuous measures of alcohol consumption and alternative approaches for assessing the link between levels of consumption and consequences (e.g., ecological momentary assessment). Clinical researchers should consider focusing more directly on the consequences they aim to reduce instead of relying on consumption as a proxy for more clinically meaningful outcomes.


American Journal on Addictions | 2018

A quantification of the alcohol use-consequences association in college student and clinical populations: A large, multi-sample study: Alcohol Use And Consequences

Mark A. Prince; Matthew R. Pearson; Adrian J. Bravo; Kevin S. Montes

BACKGROUND The present study sought to quantify the relationship between alcohol use and alcohol-related consequences in both college student and clinical samples. METHODS We gathered 33 college student datasets comprising of 15,618 participants and nine clinical sample datasets comprising of 4,527 participants to determine the effect size of the relationship between alcohol use and alcohol-related consequences. We used random-effects meta-analytic techniques, separately in college and clinical samples, to account for a distribution of true effects and to assess for heterogeneity in effect sizes. RESULTS Results demonstrated that the clear majority of the variability in alcohol-related consequences is not explained by alcohol use (ie, >77% in college samples; >86% in clinical samples), and that there was significant heterogeneity in all effect sizes. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE Experiencing alcohol-related consequences results from factors that extend beyond frequency and quantity of alcohol consumed suggesting a need to examine other predictors of alcohol-related consequences beyond alcohol use. (Am J Addict 2018;27:116-123).


Addictive Behaviors | 2018

Depressive symptoms, ruminative thinking, drinking motives, and alcohol outcomes: A multiple mediation model among college students in three countries

Adrian J. Bravo; Angelina Pilatti; Matthew R. Pearson; Laura Mezquita; Manuel I. Ibáñez; Generós Ortet

BACKGROUND Recent research suggests that ruminative thinking (specifically problem-focused thoughts) may explain why individuals engage in drinking to cope (DTC) when dealing with depressive symptoms; which in turn leads to increased negative alcohol-related consequences. Cross-cultural studies addressing these phenomena are scarce. OBJECTIVES The present study cross-culturally tested whether four rumination facets (problem-focused thoughts, counterfactual thinking, repetitive thoughts, and anticipatory thoughts) uniquely mediate the relationships between depressive symptoms and drinking motives/alcohol outcomes in a multicultural sample of college student drinkers (n=1429) from Spain, Argentina, and the U.S. METHOD Structural equation modeling was conducted to test the models, controlling for sex. Further, we conducted invariance testing to determine whether our models were culturally-specific or culturally-universal. RESULTS Within both proposed models, no rumination facet uniquely mediated the relationship between depressive symptoms and drinking motives. However, an exploratory model with a second-order latent factor of ruminative thinking did significantly mediate these associations (exception was conformity motives). Further, there were two significant double-mediated associations that suggested that increased depressive symptoms is associated with increased ruminative thinking, which is associated with higher DTC motives, which in turn is associated with higher alcohol consumption and negative alcohol-related consequences. All models were found to be invariant across countries and sex, suggesting that these associations may be relatively universal. CONCLUSIONS Rumination is relevant to understand the increased vulnerability of college drinkers to exhibit greater alcohol consumption and negative consequences via DTC motives when dealing with depressive symptoms.


Addictive Behaviors | 2017

Marijuana protective behavioral strategies as a moderator of the effects of risk/protective factors on marijuana-related outcomes

Adrian J. Bravo; Amber M. Anthenien; Mark A. Prince; Matthew R. Pearson; Marijuana Outcomes Study Team

Given that both marijuana use and cannabis use disorder peak among college students, it is imperative to determine the factors that may reduce risk of problematic marijuana use and/or the development of cannabis use disorder. From a harm reduction perspective, the present study examined whether the use of marijuana protective behavioral strategies (PBS) buffers or amplifies the effects of several distinct risk and protective factors that have been shown to relate to marijuana-related outcomes (i.e., use frequency and consequences). Specifically, we examined marijuana-PBS use as a moderator of the effects of impulsivity-like traits, marijuana use motives, gender, and marijuana use frequency on marijuana-related outcomes in a large sample of college students (n=2093 past month marijuana users across 11 universities). In all models PBS use was robustly related with use frequency and consequences (i.e., strongly negatively associated with marijuana outcomes). Among interactions, we found: 1) unique significant interactions between specific impulsivity-like traits (i.e., premeditation, perseverance, and sensation seeking) and marijuana-PBS use in predicting marijuana consequences, 2) unique significant interactions between each marijuana use motive and marijuana-PBS use in predicting marijuana use frequency and 3) marijuana-PBS use buffered the risk associated with male gender in predicting both marijuana outcomes. Our results suggest that marijuana-PBS use can buffer risk factors and enhance protective factors among marijuana using college students. Future research is needed to understand context-specific factors and individual-level factors that may make marijuana-PBS use more effective.


Traumatology | 2018

Psychometric properties of a Modified Moral Injury Questionnaire in a military population.

Abby L. Braitman; Allison R. Battles; Michelle L. Kelley; Hannah C. Hamrick; Robert J. Cramer; Sarah J. Ehlke; Adrian J. Bravo

Moral injury (MI) results from perpetration of or exposure to distressing events, known as morally injurious events (MIEs), that challenge moral beliefs and values. Due to the type of involvement in recent military conflicts, many veterans report MIEs that may cause dissonance and, in turn, MI. Although 2 existing measures assess MIEs, neither currently assesses the defining characteristics of MI (i.e., guilt, shame, difficulty forgiving self and others, and withdrawal). The present study reports the initial psychometric test of a modified version (Robbins, Kelley, Hamrick, Bravo, & White, 2017) of the Moral Injury Questionnaire—Military version (MIQ-M; Currier, Holland, Drescher, & Foy, 2015) in a sample of 328 military personnel (e.g., veterans, National Guard/reservists, and active-duty members). The MIQ-M was modified to assess both MIEs and the defining characteristics of MI. Exploratory factor analyses suggested a 3-factor model of MIEs consisting of Atrocities of War, Psychological Consequences of War, and Leadership Failure or Betrayal. The modified MIQ-M factors were correlated with defining characteristics of MI. In addition, each MIE factor and associated defining characteristics of MI were positively correlated with symptoms of posttraumatic stress disorder, depression, and anxiety, as well as substance use. The modified MIQ-M is a reliable measure of MI that comprises 3 subscales that are associated with, but distinct from, mental health outcomes. Although findings are promising, further research evaluating the applicability of the modified MIQ-M in clinical settings is required to establish construct validity of the defining characteristics and secondary manifestations of MI.


Addictive Behaviors | 2018

Personality, marijuana norms, and marijuana outcomes among college students

Matthew R. Pearson; John T.P. Hustad; Clayton Neighbors; Bradley T. Conner; Adrian J. Bravo

Based on the high prevalence of marijuana use among college students, we examined distal and proximal antecedents to marijuana-related outcomes in this population. Specifically, we examined three marijuana-related perceptions (descriptive norms, injunctive norms, and internalization of college marijuana use culture) as potential mediators of the associations between four personality traits (impulsivity, sensation seeking, hopelessness, and anxiety sensitivity) and marijuana-related outcomes (marijuana use, negative marijuana-related consequences). In a large sample of college student marijuana users (n=2129), our path analysis revealed marijuana-related perceptions to significantly mediate the associations between personality and marijuana-related outcomes. Specifically, internalization of college marijuana use culture mediated the effects of both impulsivity and sensation seeking on marijuana-related outcomes. Not only do our findings suggest the importance of distinct types of marijuana-related norms in predicting marijuana involvement, but also the possibility that such normative beliefs could be targeted as part of personality-tailored interventions.

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Angelina Pilatti

National University of Cordoba

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Mark A. Prince

Colorado State University

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Adam D. Wilson

University of New Mexico

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