Abstract
Background and Aims:
To examine the effects of mindfulness-based interventions on gambling behavior and symptoms, urges, and financial outcomes.
Method:
Systematic review and meta-analytic procedures were employed to search, select, code, and analyze studies conducted between 1980 and 2014, assessing the effects of mindfulness-based interventions in the treatment of disordered gambling with adults.
Results:
Thirteen studies met criteria for this review and seven met criteria for meta-analysis. Effects were moderate to large for gambling behaviors/symptoms (g = 0.68, 95% CI = [0.39, 0.98], p < .01), gambling urges (g = 0.69, 95% CI = [0.18, 1.20], p < .01), and financial outcomes (g = 0.75, 95% CI = [0.24, 1.26], p < .01). Heterogeneity was low and nonsignificant.
Conclusions:
The findings provide support for mindfulness-based interventions in the treatment of disordered gambling. However, these results are necessarily tentative, limited by the number and quality of eligible studies, and differing conceptualizations of mindfulness.
Gambling is a global phenomenon with expanding legalization and increased availability in a range of venues from brick and mortar establishments (e.g., casinos and race parks) to virtual forums (e.g., Internet poker and slot parlors; Ladd & Petry, 2002). While millions across the globe enjoy recreational gambling, recent prevalence reports suggest that 0.5–7.5% of a country’s population suffers from a gambling disorder, with a global average now estimated at 2.3% (Williams, Volberg, & Stevens, 2012). Gambling disorder is characterized by a range of symptoms, including preoccupation with gambling-related thoughts, chasing losses, and gambling during times of distress (American Psychiatric Association, 2013). Individuals with gambling disorder represent a heterogeneous sample (Ladouceur, Lachance, & Fournier, 2009), with varying prevalence rates across sociodemographic variables. For instance, disordered gambling prevalence rates are higher among men (Ibanez, Blanco, Moreryra, & Saiz-Ruiz, 2003), minority groups (Welte, Wieczorek, Barnes, & Tidwell, 2006), and nonimmigrant adults when compared to first-generation immigrants to the United States (Wilson, Salas-Wright, Vaughn, & Maynard, 2015). Further, disordered gambling is correlated with co-occurring disorders including psychiatric and substance use disorders (Petry, Stinson, & Grant, 2005; Welte, Barnes, Wieczzorek, Tidwell, & Parker, 2001). Only approximately 3% of disordered gamblers will eventually seek treatment, representing a very small minority (National Gambling Impact Study Commission, 1999). Further, of those that do seek treatment, 50% will drop out by the first or second session (Ladouceur et al., 2009; Ladouceur, Gosselin, Laberge, & Blaszczynski, 2001). Given the heterogeneous nature of disordered gamblers, a single, one-size fits all approach to the problem may not be appropriate for all gamblers who seek treatment (Ladouceur, 2005).
Gambling treatment options range from self-help support groups, such as gamblers anonymous (Lopez-Viets & Miller, 1997), to more individual psychotherapeutic treatment such as motivational interviewing (e.g., Hodgins, Ching, & McEwen, 2009) and cognitive behavior therapy (CBT; Okuda, Balán, Petry, Oquendo, & Blanco, 2009; Petry, 2005; Petry et al., 2006). A series of gambling treatment meta-analyses have found positive effects of psychotherapeutic interventions on gambling (Cowlishaw et al., 2012; Gooding & Tarrier, 2009; Oakley-Browne, Adams, & Mobberly, 2003; Pallesen, Mitsem, Kvale, Johnsen, & Molde, 2005). While CBT is cautiously recommended as “best practice” (Rickwood, Blaszczynksi, Delfabbro, Dowling, & Heading, 2010), current evidence in support of CBT remains tentative may be overestimated and may not work for all gamblers (Cowlishaw et al., 2012; Westphal, 2008). Moreover, evidence from alternative treatment approaches suggests potential benefits in the treatment of disordered gambling that do not fit into traditional applications of cognitive or behavioral therapies; however, few studies have adequately assessed these interventions (Gooding & Tarrier, 2009). Therefore, additional research on emerging gambling treatments is needed.
Recently, there has been increased interest in interventions that involve internalized processes including imagination, mindfulness, awareness, and attention to the present moment (hereafter referred to as mindfulness based). Emerging mindfulness-based interventions, while unique in their formal approaches to internalized stimuli and responses, all target experiential avoidance (EA). EA occurs when a person “is unwilling to experience unwanted private events (e.g., bodily sensations, thoughts, memories, urges) and takes steps to reduce the frequency or form of these events, such as disassociation, escape, and avoidance” (Riley, 2014, p. 164). EA has been conceptualized as a core mechanism in the development and course of a range of psychological disorders including gambling (Blaszczynski & Nower, 2002; Dixon & Wilson, 2014). Treatment components addressing EA focus on the function of maladaptive responding (i.e., escape and/or avoidance), rather than the form of the response, to increase adaptive responding to aversive stimuli.
For problem gamblers, escape or avoidance of aversive stimuli is often achieved and maintained through engaging in gambling behaviors. In these cases, using awareness, relaxation, and visualization techniques may assist the gambler with selecting adaptive coping behaviors. For instance, imaginal desensitization (ID) is a technique wherein gamblers are instructed to relax prior to imagining scenarios “in which they feel the urge to gamble, and to imagine exiting the scenario having refrained from gambling” (Whiting & Dixon, 2013, p. 526). These procedures are designed to assist gamblers in selecting alternative responses to aversive stimulation rather than engage in gambling. Attention and awareness to the present-moment techniques assist participants with guiding their focus on internal and external stimulation that is either appetitive or aversive (e.g., Hayes, 2004). These procedures are designed to promote attention to aversive stimuli that evoke problematic behaviors, as a means to assist gamblers in selecting alternative responses. Research to date has identified ID and present-moment awareness as treatment components that share common procedural mechanisms including active imagining during relaxation/meditation states and in vivo muscle relaxation training. Both treatment components have similar effects in brain regions involved with motivation, reward/loss processing, and executive control (Potenza et al., 2013). Similarly, intervention packages such as acceptance and commitment therapy (ACT; Dixon & Wilson, 2014; Hayes, Strosahl, & Wilson, 1999), dialectical behavior therapy (DBT; Linehan & Dimeff, 2001), mindfulness-based relapse prevention (MBRP; Bowen, Chawla, & Marlatt, 2010), and mindfulness-based cognitive therapy (MBCT; Segal, Williams, & Teasdale, 2002) that include related techniques of awareness, visualization, and present-moment focus have been found to increase positive coping strategies for urges to use (Toneatto, Vettese, & Nguyen, 2007) and tolerance of internal experience of negative cognitive and physical experiences (Bowen et al., 2009). Further, present-moment and visualization techniques have been found to increase gamblers’ awareness of structural characteristics of slot machines (e.g., wins compared to near miss or losses disguised as wins). That is, near-miss outcomes (i.e., losses that appear close to a win; see Reid, 1986) and losses disguised as wins (i.e., a win returns a smaller amount than the original bet; see Clark & Sharman, 2014) promote gambling behavior even though they are losses. Present-moment and visualization techniques may decrease gamblers’ preference over losses for these disadvantageous slot machine outcomes (Nastally & Dixon, 2012).
Mindfulness-based interventions for gambling appear to be promising, and researchers have provided theoretical and clinical implications in the treatment of gambling disorders (de Lisle, Dowling, & Allen, 2011). The extent to which these interventions are effective, however, is not known. To date, no systematic review or meta-analysis has been conducted to determine the extent to which emerging mindfulness-based interventions are effective for the treatment of disordered gambling. Therefore, the purposes of the present study were to systematically and quantitatively examine the extent to which mindfulness-based interventions are being adopted in a gambling context, to examine the various configurations of treatment components descriptively, and to examine the effects of these interventions on gambling-related outcomes. Specific questions guiding this review are (1) to what extent are mindfulness-based approaches being tested for the treatment of disordered gambling? and (2) what are the effects of mindfulness-based approaches on gambling outcomes (i.e., gambling behavior, urges, and financial outcomes) with adult problematic or pathological gamblers compared to other treatment or no treatment?
Method
Systematic review procedures (Campbell Collaboration, 2014) were used to search, select, and code studies eligible for the review. Meta-analytic methods were used to synthesize outcomes reported in studies that met inclusion criteria for the meta-analysis. The review protocol, developed a priori, is registered with PROSPERO (Registration #CRD42014010748; Maynard et al., 2014).
Study Eligibility Criteria
Studies conducted between January 1980 and April 2014 assessing the effects of a mindfulness-based intervention with adult participants identified as problematic or pathological gamblers were eligible for this review. Studies must have used a randomized, quasi-experimental, single-group pre–posttest (SGPP) or single-subject experimental design to be included in the review. To be included in the meta-analysis, studies must have used a randomized or quasi-experimental study design assessing effects of a mindfulness-based intervention against a comparison group that did not receive mindfulness-based interventions. For the purposes of this study, mindfulness-based interventions included methods where participants were encouraged to focus their attention either on covert activity (e.g., thoughts, feelings, and urges) or on overt activity (e.g., lights, sounds, and smells) as a primary or adjunctive intervention. Mindfulness-based interventions included present-moment work, meditation, relaxation skills (including muscle relaxation procedures), breathing techniques, and awareness of moment techniques delivered in vivo, via formal meditation practices or informal mindfulness exercises, mindfulness-based stress reduction (MBSR), MBCT, DBT, ACT, and ID. ID was included given similarities to mindfulness-based procedures (e.g., visualizing exposure to gambling-related activities, muscle relaxation, and present-moment focus on in vivo experiences of gambling activities). To be eligible for the review, studies must have assessed the effects on any outcome. For inclusion in the meta-analysis, studies must have measured at least one of the following outcomes: gambling behavior or symptoms, gambling urges, or a gambling-related financial outcome.
Study Search, Selection, and Coding Procedures
A comprehensive and systematic search strategy was conducted in an attempt to identify and retrieve all relevant published and unpublished studies meeting inclusion criteria. The search, completed in April 2014, involved several sources. Information sources included the following 13 electronic databases and research registries: Academic Search Complete, ProQuest Dissertations & Theses, MEDLINE, National Criminal Justice Reference Service (NCJRS), PsycINFO, SCOPUS, Social Science Citation Index, Social Services Abstracts, Social Work Abstracts, Campbell Collaboration Library, Cochrane Collaboration Library, ClinicalTrials.gov, and OpenGrey. We used combinations of the following terms and key words related to the problem, outcome, intervention, and target population (see online supplementary material for details of the database search strategies): gambl* AND (mindfulness OR meditation OR awareness OR acceptance OR relaxation OR “dialectical behavior therapy” OR “present moment”) AND (evaluation OR intervention OR treatment OR outcome OR program). Additional efforts were employed to find unpublished, or “gray,” literature, which included contacting first authors of published studies and other researchers working in the area of gambling interventions.
All titles and abstracts retrieved through the search strategy were screened for relevance by one reviewer. The full text of all studies that were not obviously ineligible or were questionable at this stage was obtained and independently screened for eligibility by two reviewers using a screening instrument. Reviewers resolved discrepancies in screening decisions through discussion and consensus and, when necessary, a third reviewer was consulted. Two reviewers then independently coded all reports that passed eligibility screening using a coding instrument to guide systematic examination and extraction of data. Two reviewers pilot tested the coding instrument with two studies and made adjustments to the coding form. After finalization of the coding instrument, two reviewers independently coded the remainder of the studies. The coding instrument included categories concerning all relevant bibliographic information; study context, intervention, and sample descriptors; research methods and design; and effect size data (coding instrument may be obtained from the authors). Risk of bias was assessed for all studies included in the meta-analysis by two independent coders using the Cochrane Collaboration’s risk of bias tool (Higgins & Thompson, 2002). Agreement between the two reviewers was 96%. Disagreements were resolved by discussion and consensus and, when necessary, a third reviewer was consulted.
Statistical Methods
Several statistical procedures were conducted following recommendations of Pigott (2012). First, statistical analysis was designed to produce descriptive information on the characteristics of all included studies. Effect sizes were then calculated on reported outcomes from the seven studies that met criteria to be included in the meta-analysis. The standard mean difference effect size statistic, corrected for small sample size bias (Hedges’ g), was calculated using a statistical software package, Comprehensive Meta-Analysis Version 2.0 (CMA; Borenstein, Hedges, Higgins, & Rothstein, 2005). For the three studies that measured outcomes using categorical variables, data were entered into CMA and converted to Hedges’ g. Meta-analysis, assuming random effects models using inverse variance weights, was used to quantitatively synthesize results across the included studies. To ensure the independence of study-level effect sizes, we included only one effect size per study per outcome construct. When authors used multiple reports of the same outcome measure (e.g., self and clinician reports) or multiple measures of the same outcome (e.g., two different instruments measuring gambling behavior), we calculated the mean of all measures to create a study-level average across measures. One study (Blaszczynski, Maccallum, & Joukhador, 2001) used three groups, and we selected the ID group as the treatment group and the cognitive therapy group as the comparison group for the meta-analysis. Of note, we chose to conduct separate meta-analyses for each of the three outcomes of interest in this review, gambling behaviors and symptoms, gambling urges, and financial outcomes, given their divergent latent nature. One study included in the meta-analysis of gambling behaviors and symptoms and one study in the meta-analysis of gambling urges used a wait-list control group, while all other studies used an active treatment control group. We conducted a sensitivity analysis to examine whether combining studies with an active versus wait-list control group in the meta-analyses impacted the effect size estimate. We found no significant differences in the magnitude of effect between the studies with an active treatment control group versus a wait-list control group and thus elected to combine them in the meta-analysis.
To examine whether between-study variability is greater than what we would expect from sampling error alone, an analysis of heterogeneity was conducted. We calculated Cochrane’s Q, a commonly used significance test of heterogeneity, as well as I 2, which indicates how heterogenous the effect sizes are (where zero represents homogeneity; Card, 2012; Higgins & Thompson, 2002). The I 2 index is a ratio, put into a percentage, of the between-study variability relative to the total variability and represents the amount of heterogeneity among studies in the meta-analysis. (Card, 2012). A moderate to large amount of heterogeneity, enough to warrant moderator analyses, is between 50% and 100%. We had planned to conduct moderator analyses (type of gambler, whether mindfulness was primary mechanisms, length of treatment, and treatment format), but given the homogeneity across studies on all outcomes, moderator analyses were not indicated (Lipsey & Wilson, 2001). We also planned to assess and report publication bias by constructing a scatter plot of study effect size by sample size; however, the use of funnel plots or other techniques such as regression to assess publication bias with fewer than 10 studies is not indicated (Card, 2012).
Results
The search procedures yielded 3,331 titles from the electronic databases. After review of titles and abstracts from databases in addition to the review of reference lists from 84 prior reviews and primary studies, 39 reports were retrieved in full text for screening. Of those reports, 22 reports were excluded (see online Supplemental Materials), for a full list of excluded studies as they did not meet basic eligibility criteria (e.g., not an intervention study, not a study of problematic or pathological gamblers, and not a mindfulness-based intervention). The final sample for this review included 13 studies reported in 17 articles. Seven of the included studies, all randomized controlled trials, were eligible for the meta-analysis (see Table 1). The remaining six studies (see Table 2) were excluded from the meta-analysis due to not meeting criteria related to study design (n = 5) or did not measure outcomes relevant to this review (n = 1). See Figure 1 for a flow diagram of the search and selection process.
Summary of Studies Included in Meta-Analyses.
Note: All included studies in the meta-analysis were randomized controlled trials. Intervention and control conditions: ID = imaginal desensitization; CBT = cognitive behavioral therapy; CT = cognitive therapy; DBT = dialectical behavior therapy; WLC = wait-list control; MI = motivational interviewing; TAU = treatment as usual; Measures: PG-YBOCS = Yal–Brown Obsessive Compulsive Scale Modified for Pathological Gambling; G-SAS = Gambling Symptom Assessment Scale; PGSI = Problem Gambling Severity Index. Other outcomes were not included in the meta-analyses but are noted.
Summary of Included Studies That Did Not Meet Criteria for Inclusion in Meta-Analysis.
Note. Study design: SGPP = single-group pre–posttest design; QED = quasi-experimental design; SSD = single-subject design; MB = multiple baseline across participants; CS = case study; outcomes reported: SCIP = structured clinical interview for pathological gambling; GSEQ = gambling self-efficacy questionnaire; TAT = thematic apperception test; G-SAS = Gambling Symptom Assessment Scale; GAF = Global Assessment of Functioning Scale; MAAS = Mindfulness Attention and Awareness Scale; GAS = Goal Attainment Scale; BPD = bipolar disorder; DSM = Diagnostic and Statistical Manual; GA = gamblers anonymous; MBCT = mindfulness-based cognitive therapy; NR = not reported; DBT = dialectical behavior therapy.

Study selection flowchart. 1A table of excluded studies with reasons for exclusion is available in online Supplemental Materials.
Characteristics of Included Studies
Study characteristics
Table 3 summarizes study and participant characteristics across included studies. Of the 13 studies included in this review, seven were randomized controlled trials (RCTs), one was a quasi-experimental design (QED) study, two were SGPP studies, and three were single-subject design studies. The included studies were conducted across a broad range of geographical areas, with the largest proportion (53%) being conducted in Australia. Despite attempts to search for unpublished studies, the majority (92%) of the included studies were published in peer-reviewed journals, with one study published as a conference proceeding. Most of the studies employed small sample sizes, with most studies (61%) employing samples of less than 25 participants and no study included over 100 participants. Of the studies included in the meta-analysis, all studies reported posttest outcomes and several studies conducted follow-up analysis, ranging from 3 months to 1-year posttreatment; however, only three of the seven RCTs reported follow-up results for both treatment and comparison groups (Korman et al., 2008; McConaghy, Armstrong, Blaszczynski, & Allcock, 1983, 1988).
Study and Sample Characteristics Across Included Studies.
Note. MA = meta-analysis; RCT = randomized controlled trial; QED = quasi-experimental design; SGPP = single-group pre–posttest; SSD = single-subject design.
aCategories not mutually exclusive.
Participant characteristics
Across the 13 studies, participants included a total of 463 gamblers. Most studies included either pathological gamblers (69%) or problematic gamblers (23%), with only one study including both pathological and problem gamblers. A larger proportion of RCT studies included in the meta-analyses (86%) included pathological gamblers compared to other study designs (50%). Most studies included both male and female participants; however, three studies (23%) included only female participants and two studies (15%) included only male participants. Most studies (76%) did not provide enough information to code race and ethnicity. For the three that did report race or ethnicity, two studies included predominantly Caucasian participants and one included predominantly African American participants.
Intervention characteristics
Table 4 summarizes the characteristics of interventions across the included 13 studies. All studies must have employed a mindfulness component to be included in this review; however, there was variability across studies on intervention characteristics. The mindfulness-based component of the intervention was the primary mechanism of interest in most of the studies (69%). Several studies employed interventions in addition to mindfulness, such as behavioral interventions (7%), cognitive interventions (31%), and other types of counseling interventions (23%). A large proportion of the total studies (46%) and majority of studies included in the meta-analysis (71%) used ID as either the primary or adjunctive intervention. Other interventions tested were DBT (n = 2), MBCT, (n = 1), mindfulness-enhanced CBT (n = 1), and ACT (n = 1). Mindfulness practice was assigned as homework in about half (53%) of the studies. Most studies (76%) delivered the intervention in an individual format, but one study used a group format and one study used both individual and group formats. Interventions varied in terms of the number of sessions (range, 1–20) and length of treatment (range, 1–24 weeks). Of the 12 studies that reported number of sessions and treatment duration, most (75%) were shorter term interventions of less than 12 weeks or 12 sessions. About half of the primary study authors reported the use of an intervention manual and most (84%) monitored fidelity of the intervention; however, only two studies measured and reported treatment fidelity.
Intervention Characteristics Across Included Studies.
Note. MA = meta-analysis.
aCategories not mutually exclusive.
Risk of Bias
Risk of bias was assessed for all studies included in the meta-analyses. Overall, there was moderate risk of bias within and across the included studies (see Table 5). Selection bias, assessed on random sequence generation and allocation concealment, was assessed as unclear in the majority of studies, as the study authors stated they randomized participants to condition but did not report sufficient information regarding randomization procedures. In terms of performance bias, all studies were rated as high risk, as they did not report blinding participants to condition. Most of the studies (57%) were rated as high risk of bias for detection bias, as only three studies reported blinding of outcome assessors. Attrition bias and reporting bias were assessed as low risk across most of the studies, with only one study assessed as high risk of bias for attrition bias and one study assessed as high risk of bias for reporting bias.
Risk of Bias Summary Table: Review Authors’ Judgments About Each Risk of Bias for Each Included Study.
Note. Toneatto—reporting bias—did not report gambling behavior that one would expect to report. H = high risk of bias; L = low risk of bias; U = unclear risk of bias.
Effects of Interventions
Meta-analysis was conducted for each of the three outcomes included in this review for the seven intervention studies that met criteria to be included in the meta-analysis.
Gambling behavior and symptoms
Mean effects and confidence intervals (CIs) for the six studies that measured gambling behaviors and/or symptoms (Blaszczynski et al., 2001; Dowling, Smith, & Thomas, 2006; Grant et al., 2009; Korman et al., 2008; McConaghy et al., 1983, 1988) are shown in Figure 2. The results indicate a positive, moderate, and statistically significant treatment effect (g = 0.68, 95% CI = [0.39, 0.98], p < .01). Heterogeneity was low (I 2 = 0%) and not statistically significant (Q = 4.21, p = .42). This effect represents a difference of approximately 40% in frequency and 48% in duration of gambling behavior and, on the Problem Gambling Severity Index, would represent the difference between scoring moderate risk versus high risk for gambling severity.

Effects of mindfulness-based interventions on gambling behaviors/symptoms. *p < .01.
Gambling urges
Mean effects and CIs for the four studies that reported outcomes related to gambling urges (Grant et al., 2009; McConaghy et al., 1983, 1988; Toneatto, Pillai, & Courtice, 2014) are shown in Figure 3. The results indicate a positive, moderate, and statistically significant treatment effect (g = 0.69, 95% CI = [0.18, 1.20], p = .01). Heterogeneity was low (I 2 = 33.44%) and not statistically significant (Q = 4.51, p = .21). This effect represents a difference in the number of gambling urges of approximately 31%.

Effects of mindfulness-based interventions on gambling urges. *p < .01.
Financial outcomes
Mean effects and CIs for the two studies that reported outcomes related to financial outcomes are shown in Figure 4. The results of the synthesis indicate a positive, large, and statistically significant treatment effect (g = 0.75, 95% CI = [0.24, 1.26], p < .01). Heterogeneity was low (I 2 = 0%) and not statistically significant (Q = 0.65, p = .52). This effect represents a difference in expenditure between control and intervention groups of approximately 87%.

Effects of mindfulness-based interventions versus control on financial outcomes. *p < .01.
Discussion and Application to Practice
Despite the emerging evidence of mindfulness-based interventions for a growing number of health and behavioral health conditions (Chiesa & Serretti, 2014; de Vibe, Bjorndal, Tipton, Hammerstrom, & Kowalski, 2012; Ost, 2008; Swain, Hancock, Hainsworth, & Bowman, 2013; Zgierska et al., 2009), little is known about the effects of mindfulness-based interventions for gambling. Given the increased popularity of mindfulness-based interventions across a range of problems, and particularly for gambling, we believe it is important to examine the current state of research of mindfulness-based interventions on gambling to inform practice and future research in this area. In terms of practice, it is important that practitioners are aware, despite the popularity of mindfulness-based interventions, of the empirical evidence of this novel intervention, so practitioners can make informed decisions. In terms of research, synthesizing an emerging body of research provides evidence of gaps and limitations in the current evidence base that researchers can use to build upon and advance research in this area to better inform practice. Moreover, quantitatively synthesizing two or more studies provides additional information than what can be revealed in individual studies and allows for more valid conclusion than other techniques such as narrative synthesis or vote counting (Valentine, Pigott, & Rothstein, 2010). Therefore, this study provides an important first step toward understanding the utility and effectiveness of emerging mindfulness-based treatments for disordered gambling.
The present review included 13 studies, of which 7 assessed effects using a comparison group design and met criteria to be included in the meta-analysis. Overall, mindfulness-based interventions demonstrated positive and significant effects on gambling behavior and symptoms, gambling urges, and financial outcomes. Thus, the present findings provide tentative support for the utility of mindfulness-based interventions in the treatment of disordered gambling. Studies that met criteria for this review used various strategies, six used ID (46%) and five (38%) tested effects of a “named” intervention (i.e., DBT, MBSR, MBCT, and ACT). It is important to note that when study findings were examined individually, effects of several interventions were not significantly different from zero. When combined, however, the pooled effect size was significant. Given the small sample sizes within each study, it is possible that primary studies failed to demonstrate significant effects because they were underpowered. One of the strengths of meta-analysis over narrative or vote-counting methods is the capability to find effects that are not readily apparent or are obscured when using less sophisticated approaches (Lipsey & Wilson, 2001). By pooling effects across studies, meta-analysis can combine the results of underpowered studies, producing a synthesized effect estimate with considerably more statistical power to discover meaningful effects that can be missed in low-powered individual studies (Card, 2012).
Current findings are generally consistent with prior reviews of mindfulness-based interventions with other problems and support the notion that mindfulness-based interventions are promising or effective for a range of mental and behavioral health conditions, including anxiety (Arch, Eifert, Davies, & Vilardaga, 2012) and substance use disorders (Powers, Zum Vorde Sive Vording, & Emmelkamp, 2009; Zgierska et al., 2009). For example, a recent systematic review comparing ACT to CBT found ACT outperformed CBT across a range of symptoms (Ruiz, 2012). Similarly, a meta-analysis of laboratory-based studies of mindfulness components found significant effects, particularly for those that included experiential processes (Levin, Hildebrandt, Lillis, & Hayes, 2012). Implications of these analyses support the significance of the underlying mechanisms within mindfulness-based interventions, particularly the impact of experiential processes and mindfulness meditation practices.
Components of mindfulness, including nonreactivity to inner experiences, acting with awareness, and observing inner experiences (e.g., thoughts, feelings, urges, etc.), have been identified as predictors of psychological symptoms (Baer, Smith, Hopkins, Krietemeyer, & Toney, 2006) and gambling proclivity (Lakey, Campbell, Brown, & Goodie, 2007). Each of these operative components, which together constitute the multifaceted construct of mindfulness, has been delivered in a variety of procedures, and the contribution of each component differs based on the arrangement of the task (Baer et al., 2006). For example, within the present analysis, several studies implemented ID including imagery of abstaining from gambling within a problematic context (e.g., Dowling, et al., 2006; McConaghy et al., 1983, 1988). The instructions and exercises featured awareness of urges and imagining with this awareness as central components, but the acceptance or nonreactivity component was less prevalent. In contrast, practice mindfulness exercises such as those utilized by Toneatto, Pillai, and Courtice (2014) specifically target all three components. For disordered gamblers, effective mindfulness-based interventions target problematic EA by assisting with awareness of inner experiences (including gambling-related triggers and urges to use), and focusing activity to both covert and overt experiences from a nonjudgmental and nonreactive position. Each component of mindfulness represents part of the effort toward this end, and as suggested by the results of the present meta-analysis, different arrangements and presentations of these components may be effective in combating disordered gambling as they relate to covert (e.g., gambling-related urges; Toneatto et al., 2014) and overt experiences (e.g., gambling behaviors and financial outcomes; Dowling et al., 2006). However, definitional issues related to mindfulness-based interventions limit the extent to which researchers have identified and tested key mechanisms of change across these interventions. Therefore, future research should conduct component analyses to determine specific mechanisms of change in mindfulness-based interventions that result in robust behavioral change.
Overall, the current review provides tentative support for mindfulness-based interventions in the treatment of disordered gambling; however, it is clear that additional research is needed. Consistent with findings from prior reviews of other interventions for gambling, primary studies included in this review suffer from methodological shortcomings and small sample sizes. Future studies should employ more rigorous study designs and larger samples. Independent replication studies are also needed as are studies assessing comparative effects of interventions, particularly against CBT, which is currently considered best practice. Future research should also consider longer term effects of interventions, as the current evidence base is sorely lacking evidence of long-term effectiveness. In addition, while examining effects of interventions is important, other aspects of interventions, such as implementation, acceptability, and cost-effectiveness, are important to consider when selecting interventions and should be measured and reported in future studies to better inform treatment decisions.
Limitations
The conduct and reporting of this review was guided by standards and policies for the conduct and reporting of systematic reviews to ensure a rigorous and transparent review designed to minimize bias and error. This review is not without its limitations, however, and the findings must be interpreted in light of the study’s limitations. We conducted a comprehensive search, including a search for gray literature; however, we discovered only one unpublished study and our sample size was too small to conduct meaningful publication bias analyses, thus publication bias is a potential threat to the validity of this review. Despite the inclusion of only randomized trials in the meta-analysis, the included studies presented with various risks of bias and thus caution must be used when drawing causal conclusions and applying findings from this review. Also, due to the nascent use of mindfulness-based interventions, particularly for gambling, our review includes a relatively small number of studies, which restricted our ability to conduct more sophisticated analyses and limits the generalizability of our findings. Moreover, we were unable to examine the differential effects of different types of mindfulness interventions. While the lack of heterogeneity across studies indicates that effects of interventions are similar, we likely did not have sufficient statistical power to detect heterogeneity and, due to the small number of studies, moderator analyses would have been underpowered. It also should be noted that this review is limited to adults, and none of the studies included participants of Asian background. Therefore, additional research is needed on both of these populations who are at high risk of developing gambling problems. Lastly, there is disagreement about what constitutes a mindfulness-based intervention and thus different authors may have made different inclusion decisions; however, we were transparent in our definition and inclusion criteria and thus other authors may choose to conduct a different synthesis using a different framework. Despite these limitations, the present study provides the first systematic synthesis of mindfulness-based interventions for problematic and pathological gambling and elucidates the promise of these types of interventions and the gaps in the evidence in this area to inform future research.
Conclusion
Our findings revealed promising preliminary evidence for use of mindfulness-based approaches in the treatment of gambling disorders, but conclusive evidence is lacking. The current evidence base is small and the methodological limitations found in the corpus of studies limit the conclusions that can be drawn from this review. Nevertheless, the findings of the current review confirm that approaches that include imaginal, attention focusing, awareness, and mindfulness may be effective in reducing gambling behaviors and symptoms, urges, and financial losses. Findings also demonstrate the need for further development and more rigorous evaluation of the effects of these emerging approaches in the treatment of gambling disorders.
Footnotes
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
Supplemental Material
Supplementary material for this article is available online.
References
Supplementary Material
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