Examining psychometric properties of distress tolerance and its moderation of mindfulness-based relapse prevention effects on alcohol and other drug use outcomes
Highlights
► We examined whether distress tolerance moderated treatment effects on AOD outcomes. ► Clients with lower distress tolerance receiving MBRP vs. TAU had fewer AOD use days. ► A plateau effect suggests that effects were not maintained at the 4-month follow-up. ► Distress tolerance is a characteristic to consider in matching clients to aftercare. ► MBRP may be particularly helpful for individuals with lower distress tolerance.
Introduction
Alcohol and other drug (AOD) use disorders have been considered “chronic relapsing conditions” (Connors et al., 1996, Dixon et al., 1998). One review estimated that 40% to 60% of patients treated for AOD dependence return to active AOD use within one year following termination of treatment (McLellan, Lewis, O'Brien, & Kleber, 2000). Given these high relapse rates, understanding predictors of relapse is a priority.
In Marlatt's (1978) study of common relapse predictors, negative affect emerged as the most common precipitant of a lapse, or initial use of AOD after a period of abstinence. Studies continue to show a strong link between negative affect and relapse (e.g., Hodgins et al., 1995, Litman et al., 1983, Shiffman et al., 1996). In fact, Baker, Piper, McCarthy, Majeskie, and Fiore (2004) suggested that escape or avoidance of negative affect is the chief motive for use and subsequent dependence because AOD use offers negative reinforcement by providing relief from negative affective states. Thus, the ability to tolerate psychological and physical distress may be essential for achieving and maintaining abstinence from AOD.
Distress tolerance refers to the degree to which an individual is able to withstand negative psychological and/or physical states. Empirical literature has indicated that lower distress tolerance is associated with a number of negative AOD use outcomes and psychopathology, including history of smoking cessation (Brown, Lejuez, Kahler, & Strong, 2002), smoking lapse and relapse (Brandon et al., 2003, Brandon et al., 2007, Brown et al., 2009), days till relapse for pathological gambling (Daughters, Lejuez, Kahler, Strong and Brown, 2005, Daughters, Lejuez, Strong, et al., 2005), and abstinence attempts from AOD (Daughters, Lejuez, Kahler, Strong, & Brown, 2005). Across these various addictive behaviors, the role of distress tolerance has been very similar. Specifically, greater distress tolerance predicts longer periods of abstinence and lower risks of lapse and relapse. Taken together, these findings indicate that being able to tolerate psychological and physical distress may be a crucial skill for achieving and maintaining abstinence from AOD.
Given the important role of distress tolerance, measurement issues of this construct have received increasing attention in the literature (McHugh et al., 2011, Zvolensky et al., 2010). Research on AOD relapse has primarily featured behavioral tasks to assess distress tolerance. Among the available self-report measures, only the Distress Tolerance Scale (DTS; Simons & Gaher, 2005) was developed specifically to examine the relationship between distress tolerance and AOD use. The DTS comprises a single, second-order general distress tolerance factor with four first-order indicators (ability to tolerate emotional distress, subjective appraisal of distress, regulation efforts to alleviate distress, attention being absorbed by negative emotions; Simons & Gaher, 2005). Although this measure has evinced good reliability and predictive validity, it has been used with primarily nonclinical samples, such as college students and non-treatment-seeking community members (e.g., Buckner et al., 2007, Howell et al., 2010, Zvolensky et al., 2009). Therefore, research is warranted to examine the reliability, validity and clinical utility of the DTS in a clinical sample of individuals with AOD-use disorders.
Marlatt and colleagues (Bowen, Chawla, & Marlatt, 2010) developed and evaluated mindfulness-based relapse prevention (MBRP), a manual-guided, group-based, outpatient intervention for problematic AOD use. This program is based on the theoretical and empirical support for the effectiveness of mindfulness meditation in the treatment of chronic pain (MBSR; Kabat-Zinn, 1990) and depression (MBCT; Segal, Teasdale, & Williams, 2002). MBRP has integrated traditional cognitive-behavioral relapse prevention techniques (Marlatt & Gordon, 1985) with mindfulness meditation to help individuals: 1) to develop awareness and acceptance of thoughts, feelings, and sensations, particularly those involving urges to use AOD, and 2) to utilize these skills as a coping strategy in the face of high-risk situations, such as interpersonal conflicts that elicit negative affect (Witkiewitz, Marlatt, & Walker, 2005).
An initial randomized controlled trial of MBRP supported the efficacy and feasibility of the treatment (Bowen et al., 2009). MBRP was compared to treatment as usual (TAU), a program largely based on 12-step principles and process-oriented groups. Results indicated that, relative to TAU participants, MBRP participants significantly decreased AOD use and craving, and increased their acceptance and ability to act with awareness during the four months following treatment (Bowen et al., 2009).
The practice of mindfulness meditation is a helpful tool in promoting awareness and acceptance of psychological and physiological reactions to negative affect and AOD withdrawal. One of the primary tenets of mindfulness meditation is that the adoption of a curious and accepting stance in the face of unpleasant and distressing experiences changes the meaning of these experiences, thereby increasing distress tolerance (Bishop et al., 2004). Indeed, mindfulness-based interventions are designed to address acceptance and affect tolerance among people with AOD-use disorders, which may make them particularly beneficial for individuals with low distress tolerance.
A few studies to date have tested this hypothesis. For example, Brown et al. (2008) examined a distress tolerance treatment (i.e., combined exposure, meditation and acceptance and commitment therapy) for smokers with an early lapse history. Findings indicated that this treatment enabled participants, who were previously unable to quit smoking for more than 72 h, to achieve a median of 24 days of continuous abstinence and 40.5 days of noncontinuous abstinence. Additionally, studies testing the efficacy of dialectical behavior therapy (DBT)—a treatment that incorporates mindfulness activities to increase distress tolerance—in treating AOD-use disorders have collectively shown that DBT reduces emotional intensity, substance-use cravings as well as AOD use (Axelrod et al., 2011, Linehan et al., 1999, Rizvi et al., 2011). Taken together, these studies indicate that a mindfulness-based approach may be particularly beneficial for those with low distress tolerance. However, studies to date have focused on smokers or individuals with co-occurring borderline personality disorders. The generalizability of these findings in a more general population with AOD-use disorders has not been examined.
To build on the research literature to date, this study evaluated the basic psychometric properties of the DTS in a clinical sample of people with AOD-use disorders. Regarding concurrent validity, mindfulness theory suggests that being able to observe and approach psychological distress with acceptance is associated with affect tolerance (Bishop et al., 2004). It was therefore hypothesized that greater mindfulness would be associated with greater distress tolerance (Dimeff & Linehan, 2008). To understand the potential clinical utility of the DTS within a clinical population, we also tested whether distress tolerance at baseline moderated treatment effects on AOD outcomes over the 4-month follow-up in the context of an initial efficacy trial of MBRP. Specifically, we hypothesized that MBRP participants with lower baseline distress tolerance would report greater reductions in AOD use days during the follow-up period than TAU participants with lower baseline distress tolerance.
Section snippets
Participants
Participants (n = 168) in the parent study (Bowen et al., 2009) were recruited from a private, nonprofit agency providing inpatient and outpatient care for individuals with AOD-use disorders. Approximately 57% of the outpatient and 2% of inpatient clients in this setting seek substance abuse treatment due to legal mandate, and 19% of outpatient and 75% of inpatient clients are homeless. Approximately 55% of clients complete treatment as recommended by the treatment agency.
Interested individuals (N
Sample description
Participants ranged from 18 to 70 years of age (M = 40.45 years, SD = 10.28). Although our sample comprised more men than women (36.3% women), this gender ratio is consistent with other studies (Greenfield et al., 2007). Over half of the participants identified as non-Hispanic European Americans (53.6%). African American participants accounted for close to one-third of the sample (28.6%), and the rest of the sample was composed of Native American/Alaska Native (7.7%) and Hispanic/Latino (6.0%)
Discussion
The first aim of the study was to evaluate the basic psychometric properties of the DTS in a clinical sample of individuals with AOD-use disorders. Results of principal component and factor analyses indicated a one-factor solution, which is consistent with how the DTS has been implemented in other studies (e.g., Buckner et al., 2007, Howell et al., 2010, Zvolensky et al., 2009), and this solution corresponds to findings from the preliminary DTS development study (Simons & Gaher, 2005). As
Conclusion
Despite its limitations, this study serves as an important step towards understanding the role of distress tolerance in mindfulness-based interventions. This is particularly important given the recent surge in mindfulness-based interventions and the need to examine potential moderators and underlying mechanisms of change. Current findings suggest that distress tolerance may be a crucial client characteristic to consider in matching participants to an optimal aftercare treatment: For individuals
Role of funding sources
This research was supported by the National Institute on Drug Abuse (NIDA) Grant R21 DA010562 to G. Alan Marlatt. NIDA had no role in the study design, collection, analysis or interpretation of the data, writing the manuscript, or the decision to submit the paper for publication.
Contributors
Ms. Hsu conducted literature searches and provided summaries of previous research studies. Dr. Collins conducted the statistical analysis. Ms. Hsu wrote the first draft of the manuscript and all authors contributed to and have approved the final manuscript.
Conflict of interest
All authors declare that they have no conflicts of interest.
Acknowledgments
This research was supported by the National Institute on Drug Abuse Grant R21 DA010562 to G. Alan Marlatt. Sharon Hsin Hsu's time was supported by a National Institute on Alcoholism and Alcohol Abuse (NIAAA) Institutional Training Grant (T32AA007455; PI: Mary E. Larimer) and an NIAAA F31 fellowship (AA 019608-03). Susan E. Collins's time was supported by a NIAAA Institutional Training Grant (T32AA007455; PI: Mary E. Larimer) and an NIAAA K22 Career Transition Award (1K22AA018384-01; PI: Susan
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