Over the past decade, the interpersonal theory of suicide has contributed to substantial advances in the scientific and clinical understanding of suicide and related conditions. The interpersonal theory of suicide posits that suicidal desire emerges when individuals experience intractable feelings of perceived burdensomeness and thwarted belongingness and that near-lethal or lethal suicidal behavior occurs in the presence of suicidal desire and capability for suicide. A growing number of studies have tested these posited pathways in various samples; however, these findings have yet to be evaluated meta-analytically. This paper aimed to: (1) conduct a systematic review of the unpublished and published, peer-reviewed literature examining the relationship between interpersonal theory constructs and suicidal thoughts and behaviors; (2) conduct meta-analyses testing the interpersonal theory hypotheses; and (3) evaluate the influence of various moderators on these relationships. Four electronic bibliographic databases were searched through the end of March 2016: PubMed, Medline, PsycINFO, and Web of Science. Hypothesis-driven meta-analyses using random effects models were conducted using 122 distinct published and unpublished samples. Findings supported the interpersonal theory: the interaction between thwarted belongingness and perceived burdensomeness was significantly associated with suicidal ideation; and the interaction between thwarted belongingness, perceived burdensomeness, and capability for suicide was significantly related to a greater number of prior suicide attempts. However, effect sizes for these interactions were modest. Alternative configurations of theory variables were similarly useful for predicting suicide risk as theory-consistent pathways. We conclude with limitations and recommendations for the interpersonal theory as a framework for understanding the suicidal spectrum.

Despite widespread scientific and popular interest in mindfulness-based interventions, questions regarding the empirical status of these treatments remain. We sought to examine the efficacy of mindfulness-based interventions for clinical populations on disorder-specific symptoms. To address the question of relative efficacy, we coded the strength of the comparison group into five categories: no treatment, minimal treatment, non-specific active control, specific active control, and evidence-based treatment. A total of 142 non-overlapping samples and 12,005 participants were included. At post-treatment, mindfulness-based interventions were superior to no treatment (d=0.55), minimal treatment (d=0.37), non-specific active controls (d=0.35), and specific active controls (d=0.23). Mindfulness conditions did not differ from evidence-based treatments (d=-0.004). At follow-up, mindfulness-based interventions were superior to no treatment conditions (d=0.50), non-specific active controls (d=0.52), and specific active controls (d=0.29). Mindfulness conditions did not differ from minimal treatment conditions (d=0.38) and evidence-based treatments (d=0.09). Effects on specific disorder subgroups showed the most consistent evidence in support of mindfulness for depression, pain conditions, smoking, and addictive disorders. Results support the notion that mindfulness-based interventions hold promise as evidence-based treatments.

Despite widespread scientific and popular interest in mindfulness-based interventions, questions regarding the empirical status of these treatments remain. We sought to examine the efficacy of mindfulness-based interventions for clinical populations on disorder-specific symptoms. To address the question of relative efficacy, we coded the strength of the comparison group into five categories: no treatment, minimal treatment, non-specific active control, specific active control, and evidence-based treatment. A total of 142 non-overlapping samples and 12,005 participants were included. At post-treatment, mindfulness-based interventions were superior to no treatment (d = 0.55), minimal treatment (d = 0.37), non-specific active controls (d = 0.35), and specific active controls (d = 0.23). Mindfulness conditions did not differ from evidence-based treatments (d = -0.004). At follow-up, mindfulness-based interventions were superior to no treatment conditions (d = 0.50), non-specific active controls (d = 0.52), and specific active controls (d = 0.29). Mindfulness conditions did not differ from minimal treatment conditions (d = 0.38) and evidence-based treatments (d = 0.09). Effects on specific disorder subgroups showed the most consistent evidence in support of mindfulness for depression, pain conditions, smoking, and addictive disorders. Results support the notion that mindfulness-based interventions hold promise as evidence-based treatments.

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BackgroundDespite an exponential growth in research on mindfulness-based interventions, the body of scientific evidence supporting these treatments has been criticized for being of poor methodological quality.ObjectivesThe current systematic review examined the extent to which mindfulness research demonstrated increased rigor over the past 16 years regarding six methodological features that have been highlighted as areas for improvement. These feature included using active control conditions, larger sample sizes, longer follow-up assessment, treatment fidelity assessment, and reporting of instructor training and intent-to-treat (ITT) analyses.Data sourcesWe searched PubMed, PsychInfo, Scopus, and Web of Science in addition to a publically available repository of mindfulness studies.Study eligibility criteriaRandomized clinical trials of mindfulness-based interventions for samples with a clinical disorder or elevated symptoms of a clinical disorder listed on the American Psychological Association’s list of disorders with recognized evidence-based treatment.Study appraisal and synthesis methodsIndependent raters screened 9,067 titles and abstracts, with 303 full text reviews. Of these, 171 were included, representing 142 non-overlapping samples.ResultsAcross the 142 studies published between 2000 and 2016, there was no evidence for increases in any study quality indicator, although changes were generally in the direction of improved quality. When restricting the sample to those conducted in Europe and North America (continents with the longest history of scientific research in this area), an increase in reporting of ITT analyses was found. When excluding an early, high-quality study, improvements were seen in sample size, treatment fidelity assessment, and reporting of ITT analyses.Conclusions and implications of key findingsTaken together, the findings suggest modest adoption of the recommendations for methodological improvement voiced repeatedly in the literature. Possible explanations for this and implications for interpreting this body of research and conducting future studies are discussed.

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Racial microaggressions, a contemporary form of subtle discrimination that occurs in everyday interactions, are associated with a variety of negative mental health outcomes. Research has not extended the connection between racial microaggressions and negative mental health to include suicide risk. Given the well-known association between negative mental health outcomes and suicide risk, the current study examined whether racial microaggressions predicted suicidal ideation through depression symptoms among 405 young adults of color. Depression symptoms mediated the relationship between racial microaggressions and suicidal ideation. This is the first study to associate racial microaggressions to suicide risk. Societal and clinical implications are discussed.

American Indians (AIs) experience increased suicide rates compared with other groups in the United States. However, no past studies have examined AI suicide by way of a recent empirically supported theoretical model of suicide. The current study investigated whether AI suicidal ideation can be predicted by two components: thwarted belongingness and perceived burdensomeness, from the Interpersonal-Psychological Theory of Suicide (T. E. Joiner, 2005, Why people die by suicide. Cambridge, MA: Harvard University Press). One hundred seventy-one AIs representing 27 different tribes participated in an online survey. Hierarchical regression analyses showed that perceived burdensomeness significantly predicted suicidal ideation above and beyond demographic variables and depressive symptoms; however, thwarted belongingness did not. Additionally, the two-way interaction between thwarted belongingness and perceived burdensomeness significantly predicted suicidal ideation. These results provide initial support for continued research on the components of the Interpersonal-Psychological Theory of Suicide, an empirically supported theoretical model of suicide, to predict suicidal ideation among AI populations.