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Background: Strategies to detect the presence of suicidal ideation (SI) or characteristics of ideation that indicate marked suicide risk are critically needed to guide interventions and improve care during care transition periods. Some studies indicate that machine learning can be applied to momentary data to improve classification of SI. This study examined whether the classification accuracy of these models varies as a function of type of training data or characteristics of ideation., Methods: A total of 257 psychiatric inpatients completed a 3-week battery of ecological momentary assessment and measures of suicide risk factors. The accuracy of machine learning models in classifying the presence, duration, or intensity of ideation was compared across models trained on baseline and/or momentary suicide risk data. Relative feature importance metrics were examined to identify the risk factors that were most important for outcome classification., Results: Models including both baseline and momentary features outperformed models with only one feature type, providing important information in both correctly classifying and differentiating individual characteristics of SI. Models classifying SI presence, duration, and intensity performed similarly., Limitations: Results of this study may not generalize beyond a high-risk, psychiatric inpatient sample, and additional work is needed to examine temporal ordering of the relationships identified., Conclusions: Our results support using machine learning approaches for accurate identification of SI characteristics and underscore the importance of understanding the factors that differentiate and drive different characteristics of SI. Expansion of this work can support use of these models to guide intervention strategies., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The cognitive model of suicide proposes that biased cognitive processes contribute to suicidal thoughts and behaviors, and initial evidence suggests that attentional bias to suicide-congruent cues may predict suicidal behavior beyond established clinical risk factors. To date, much less work has explored the potential role of interpretation biases in the development and prediction of suicide risk. The present study assessed the psychometric properties, including reliability, concurrent validity, and predictive validity, of a novel adaptation of the Word Sentence Association Paradigm (WSAP) to assess suicide-suicide interpretation biases. In a sample of 239 psychiatric inpatients, including patients with no recent suicidal ideation or lifetime attempts (n = 35), those with recent suicide attempts (n = 29), and those with recent suicidal ideation (n = 174), participants completed the modified WSAP as well as self-reported suicidal ideation and attempts for the subsequent 6 months. Although the WSAP demonstrated good reliability, evidence of concurrent and prospective validity (in terms of self-reported suicidal ideation and attempts) was limited. Specifically, the clinical groups did not differ from one another on any measure of interpretation bias, nor did suicide-specific interpretation endorsements predict concurrent or future suicidal ideation when controlling for dysphoric interpretation bias. However, suicide-specific interpretation biases were uniquely associated with a history of a lifetime suicide attempt. Future work should further clarify the extent and specificity of the relationship between suicide-specific interpretation biases and clinical outcomes., Competing Interests: Declaration of competing interest None., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Intimate partner violence (IPV) is a major public health concern among young adults and has shown a consistent association with alcohol use. However, previous research has used cross-sectional and daily diary designs that may fail to pinpoint the effects of alcohol use within several hours of IPV occurring. The present study used novel ecological momentary assessment (EMA) methods to investigate the bidirectional effect of alcohol use and IPV victimization among young adults with a history of IPV perpetration., Methods: One hundred and sixty-eight young adults (age 18-25 years) in a dating relationship who reported IPV perpetration in the past year completed 28 days of randomly prompted EMA surveys (four surveys daily). The effect of alcohol use on IPV victimization and the effect of IPV victimization on alcohol use were examined., Results: The results indicated that alcohol use co-occurs with psychological and physical IPV victimization. Further, alcohol use significantly increased the odds of physical (OR = 4.94; 95% CI = 2.24-10.87) and sexual (OR = 4.66; 95% CI = 1.64-13.22) IPV victimization, but not psychological IPV victimization, in the subsequent EMA survey. Finally, IPV victimization did not significantly increase the odds of reporting alcohol use in the subsequent EMA survey., Conclusions: Using alcohol is proximally related to IPV victimization among those with a history of IPV perpetration. Intervention efforts would benefit from adapting EMA methods to provide resources the moment they are needed., (© 2024 Research Society on Alcohol.)

Introduction: Several characteristics of suicidal ideation, including frequency, duration, perceived controllability, and intensity, have been identified. The present study examined whether these characteristics of baseline suicidal ideation uniquely predicted (1) the severity, variability, and frequency of suicidal ideation assessed through real-time monitoring; and (2) suicide attempts at 3-week and 6-month follow-up among recently discharged psychiatric inpatients., Methods: A sample of 249 adults (M age  = 40.43, 55.1% female, 91.4% White) completed a baseline assessment of their suicidal ideation characteristics during psychiatric hospitalization, five daily ecological momentary assessments (EMA) for 21 days following discharge, and follow-up assessments of suicide-related outcomes at 3-week and 6-month follow-up., Results: Perceived controllability of suicidal thoughts was uniquely associated with the variability of EMA-assessed suicidal ideation and the presence of suicide attempts at 3-week, but not 6-month follow-up. No other characteristic of baseline suicidal ideation was uniquely associated with EMA-assessed suicidal ideation or the presence of suicide attempts at follow-up., Conclusions: Given links between the perceived controllability of suicidal ideation and (1) momentary variability of suicidal ideation and (2) suicide attempts over the subsequent 3 weeks, perceived controllability of suicidal thinking may be a useful marker of short-term risk that may be malleable to clinical intervention., (© 2024 The Author(s). Suicide and Life‐Threatening Behavior published by Wiley Periodicals LLC on behalf of American Association of Suicidology.)

Background: Attentional biases to suicide-related stimuli have been linked to suicide-related outcomes. However, behavioral tasks that have been previously modified to capture suicide-specific attentional biases have demonstrated inconsistent reliability and validity. Adaptation of the Dot Probe Task, a computerized assessment that has been adapted to study a wide variety of biases, may be a promising candidate for assessing suicide-specific biases., Methods: In 280 recently discharged inpatients (51% male; M age  = 40.22 years), we evaluated the psychometric properties of a modified Suicide Dot Probe Task. Participants completed this task and assessments of suicidal thoughts and behaviors at baseline and 6-month follow-up., Results: The Suicide Dot Probe Task demonstrated poor-to-moderate internal consistency and poor test-retest reliability, and participant response times were slower to suicide-specific and dysphoric stimuli than positive stimuli. However, there were no differences based on the presence or characteristics of recent or lifetime suicidal ideation or attempts. Participants' suicide-specific biases were not predictive of suicidal ideation or attempts at follow-up., Conclusions: The Suicide Dot Probe Task exhibited questionable reliability, and differences in attentional biases were not associated with suicidal ideation or attempts. This study contributes to a body of research demonstrating the questionable utility of several behavioral tasks to study suicide-specific attentional biases., (© 2023 American Association of Suicidology.)

The purpose of this manuscript is to provide an overview of, and rationale for, the increasing adoption of a wide range of cutting-edge technological methods in assessment and intervention which are relevant for treatment. First, we review traditional approaches to measuring and monitoring affect, behavior, and cognition in behavior and cognitive-behavioral therapy. Second, we describe evolving active and passive technology-enabled approaches to behavior assessment including emerging applications of digital phenotyping facilitated through fitness trackers, smartwatches, and social media. Third, we describe ways that these emerging technologies may be used for intervention, focusing on novel applications for the use of technology in intervention efforts. Importantly, though some of the methods and approaches we describe here warrant future testing, many aspects of technology can already be easily incorporated within an established treatment framework., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Ambulatory assessment methods have made it possible to study psychological phenomena in real-time, with translational potential for psychotherapy process research. This article uses case example data to demonstrate applications of ambulatory assessment to measuring emotion regulation, a process with relevance across diagnoses and treatment modalities that may be particularly important to measure in situ . Two methods are reviewed: Ecological Momentary Assessment (EMA), which enables self-reported momentary assessments as people go about their days, and the Electronically Activated Recorder (EAR), an unobtrusive naturalistic observation methodology that collects short audio recordings from participants' moment-to-moment environments, capturing an acoustic diary of their social interactions, daily behaviors, and natural daily language use. Using case example data from research applying EMA and EAR methods in the context of adolescent self-injurious thoughts and behaviors, we illustrate how EMA can be used to measure emotion regulation over time and across contexts, and how EAR can assess the behaviors and social-environmental factors that interact with emotion regulation in clinically important ways. We suggest applications of this measurement approach for investigations of clients' emotional change over the course of psychotherapy, as well as potential clinical applications of these methods.

Posttraumatic stress disorder (PTSD) is a well-known risk factor for suicidal thoughts and behaviors (STBs). However, there is a scarcity of longitudinal studies exploring underlying pathways. This study sought to examine the mechanistic role of emotion dysregulation in the relations between PTSD and STBs following discharge from psychiatric inpatient treatment, a particularly high-risk period for suicide. Participants were 362 trauma-exposed psychiatric inpatients (45% female, 77% white, M age  = 40.37). PTSD was assessed via a clinical interview (Columbia Suicide Severity Rating Scale) during hospitalization, emotion dysregulation was assessed via self-report 3-weeks post-discharge, and STBs were assessed via a clinical interview 6-months post-discharge. St'1ructural equation modeling showed that emotion dysregulation significantly mediated the relation between PTSD and suicidal thoughts (β = 0.10, SE = 0.04, p = .01, 95%CI [0.04, 0.39]) but not suicide attempts (β = 0.04, SE = 0.04, p = .29, 95%CI [-0.03, 0.12]) post-discharge. Findings highlight a potential clinical utility of targeting emotion dysregulation among individuals with PTSD to prevent suicidal thoughts following discharge from psychiatric inpatient treatment., Competing Interests: Declarations of competing interest None., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Introduction: Non-suicidal self-injury (NSSI) is a serious public health concern that can be understood within an emotion dysregulation framework. The current study adds to the literature by utilizing a micro-longitudinal design and novel statistical modeling to test reciprocal associations between emotion dysregulation and NSSI, as well as the potential moderating effect of posttraumatic stress symptoms (PTSS)., Methods: Participants were 81 individuals with a history of sexual assault and NSSI (M age  = 33.80; 67.9% women; 80.2% white) recruited from the community who self-reported on symptoms of emotion dysregulation and NSSI thoughts/behaviors once daily for 7 days. Average compliance rate was 72.8% (SD = 31.3%) and 34 participants (42.0%) endorsed NSSI thoughts/behaviors over the course of the study., Results: Findings revealed a significant positive effect of NSSI thoughts/behaviors on subsequent abilities to regulate negative emotions. Furthermore, while results did not detect a moderating influence of baseline PTSS on the relation between emotion dysregulation and NSSI thoughts/behaviors over time, individuals with higher baseline PTSS were found to experience heightened levels of NSSI thoughts/behaviors and emotion dysregulation on average., Conclusion: Information from this study may be useful for future research and intervention development focused on the intersection of NSSI, PTSS, and emotion dysregulation., (© 2022 American Association of Suicidology.)

Background: Concerns regarding the potential iatrogenic effects of suicide assessment have long impeded suicide research. Aims: We sought to examine the effects of an intensive, suicide-focused assessment protocol on mood, suicidality, and urges to harm oneself or others. Method: Participants were adults admitted to a psychiatric inpatient unit for recent suicidal ideation or behavior, or reasons unrelated to suicide. Our study protocol included clinical interviews evaluating suicide history and laboratory tasks with suicide-related stimuli. We modified an existing measure to create a brief, 6-item interview, the Assessment Session Check-In, which was administered before and after research procedures. Results: These indicated overall reductions in distress, suicidal intent, and urges to harm oneself or others from preassessment to postassessment. Postassessment reductions in stress predicted lower likelihood of a suicide attempt at follow-up. Limitations: Although beneficial to examine a high-risk sample, it is possible that an intensive suicide-focused protocol could prove more problematic for those with lower baseline levels of negative affect and suicidal thoughts. Conclusions: Results challenge the belief that assessing suicide elevates distress or suicidality, even among a high-risk sample of adults admitted to a psychiatric inpatient unit.

Introduction: Among adolescents, an increasing rate of interpersonal interactions occurs online. Previous research has shown that interpersonal context exerts a robust impact on suicidal thoughts or behaviors, yet little attention has focused on examining the content of online interactions surrounding self-injurious thoughts or behaviors. As such, the present study sought to compare online social networking behaviors among adolescents on days with and without experiencing self-injurious thoughts or behaviors, as influenced by childhood maltreatment history., Method: Adolescents aged 13-18 hospitalized for self-injurious thoughts or behaviors were recruited as part of an ongoing longitudinal study. A subsample (N = 22) of adolescents provided data from their online social networking platforms (i.e., text messages, Facebook, Instagram, and Twitter). Using a mixed-methods approach, online social networking data on days of experiencing self-injurious thoughts or behaviors and days of not experiencing self-injurious thoughts or behaviors were compared., Results: Results indicate the frequency and content of online social networking messaging do not change by day of self-injurious thoughts or behaviors or history of childhood maltreatment. However, childhood maltreatment predicts received conflictual messages as well as sent symptomatic messages on days of experiencing self-injurious thoughts or behaviors., Conclusions: Childhood maltreatment may play a role in the content of adolescent online behaviors, particularly on days when they experience self-injurious thoughts or behaviors. Implications for intervention are discussed., (© 2022 The Foundation for Professionals in Services for Adolescents.)

While suicide prevention is a national priority, particularly among service members and veterans (SMVs), understanding of suicide-related outcomes remains poor. Person-centered approaches (e.g., latent class analysis) have promise to identify unique risk profiles and subgroups in the larger population. The current study identified latent subgroups characterized by prior self-directed violence history and proximal risk factors for suicide among suicide attempt survivors, and compared subgroups on demographics and most-lethal attempt characteristics. Participants included civilians and SMVs reporting lifetime suicide attempt(s) (n = 2643) from the Military Suicide Research Consortium. Two classes emerged from Common Data Elements: suicide attempt and non-suicidal self-injury frequency, suicide attempt method, perceived likelihood of future suicide, suicide disclosure, suicide intent, and perceived and actual lethality of attempt. A Higher-Risk History class was characterized by greater intent to die, certainty about attempt fatality and method lethality, belief injury would be medically unfixable, and likelihood of prior non-suicidal self-injury. A Lower-Risk History class was characterized by greater ambivalence toward death and methods. Higher-Risk class members were more likely to be male, older, SMVs, have less formal education, use firearms as most-lethal attempt method, and require a higher degree of medical attention. Lower-Risk class members were more likely to be female, civilian, use cutting as most-lethal attempt method, and require less medical attention for attempts. Findings have implications for risk assessments and highlight the importance of subjective perceptions about suicidal behavior. Further investigation of real-time individual-level is necessary, especially for SMVs who may be at greatest risk for potentially lethal suicidal behavior., (Published by Elsevier Ltd.)

Performance on an emotional stop-signal task designed to assess emotional response inhibition has been associated with Negative Urgency and psychopathology, particularly self-injurious behaviors. Indeed, difficulty inhibiting prepotent negative responses to aversive stimuli on the emotional stop-signal task (i.e. poor negative emotional response inhibition) partially explains the association between Negative Urgency and non-suicidal self-injury. Here, we combine existing data sets from clinical (hospitalised psychiatric inpatients) and non-clinical (community/student participants) samples aged 18-65 years ( N  = 450) to examine the psychometric properties of this behavioural task and evaluate hypotheses that emotional stop-signal task metrics relate to distinct impulsive traits among participants who also completed the UPPS-P ( n  = 223). We specifically predicted associations between worse negative emotional response inhibition (i.e. commission errors during stop-signal trials representing negative reactions to unpleasant images) and Negative Urgency, whereas commission errors to positive stimuli - reflecting worse positive emotional response inhibition - would relate to Positive Urgency. Results support the emotional stop-signal task's convergent and discriminant validity: as hypothesised, poor negative emotional response inhibition was specifically associated with Negative Urgency and no other impulsive traits on the UPPS-P. However, we did not find the hypothesised association between positive emotional response inhibition and Positive Urgency. Correlations between emotional stop-signal task performance and self-report measures were the modest, similar to other behavioural tasks. Participants who completed the emotional stop-signal task twice ( n  = 61) additionally provide preliminary evidence for test-retest reliability. Together, findings suggest adequate reliability and validity of the emotional stop-signal task to derive candidate behavioural markers of neurocognitive functioning associated with Negative Urgency and psychopathology., Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2021.)

Childhood abuse and/or neglect adversely influences development of neurocognitive systems that regulate affect and behavior. Poor inhibitory control over emotional reactions is thus one potential pathway from maltreatment to suicide. Adult psychiatric inpatients completed the Childhood Trauma Questionnaire and an emotional stop-signal task indexing negative emotional action termination (NEAT): the ability to inhibit ongoing motor reactions to aversive stimuli triggered by negative affect. Clinical interviews assessed suicidal thoughts and behaviors during hospitalization (n = 131) and at follow-up assessments 6 months later (n = 87). Our primary aim was to examine whether maltreatment history and NEAT explain overlapping variance in suicidal behaviors (1) retrospectively and (2) 6 months following hospital discharge. Contrary to prediction, childhood maltreatment was unrelated to history of suicidal behaviors. However, NEAT was consistently associated with prior suicidal acts, even controlling for suicidal ideation and demographic covariates. NEAT similarly contributed to the prediction of post-discharge suicidal behaviors, whereas we found no effect of maltreatment history. The present study suggests that NEAT captures suicide risk independently of childhood maltreatment. Results implicated NEAT impairment specifically, rather than broader response inhibition deficits (e.g., to positive stimuli), in past and future suicidal behaviors. These findings provide preliminary support for NEAT as a behavioral vulnerability marker for suicide, with implications for understanding links between maltreatment history and suicidal acts., Competing Interests: Conflict of Interest Statement The authors declare no conflicts of interest., (Copyright © 2021. Published by Elsevier Ltd.)

Despite significant advances in psychiatric and psychological treatment over the last 30 years, suicide deaths have increased. Unfortunately, neuroscience insights have yielded few translational interventions that specifically target suicidal thoughts and behaviors. In our view, this is attributable to two factors. The first factor is our limited integration of neurocircuitry models with contemporary suicide theory. The second challenge is inherent to the variable nature of suicide risk over time. Few interventional neuroscience studies evaluate how temporal fluctuations in risk affect treatment, despite evidence that temporality is a key component distinguishing suicide phenotypes. To wit, individual variability in risk trajectories may provide different treatment targets to engage as a patient moves between suicidal ideation and attempt. Here, we first review contemporary ideation-to-action theories of suicide from a neurobiological perspective, focusing on valence and executive function circuits and the key role of state-induced (e.g., within stressful contexts) functional modulation on longitudinal risk trajectories. We then describe neural correlates of suicide reduction following various interventions, ranging from circuit specific (i.e., transcranial magnetic stimulation) to broader pharmacological (i.e., ketamine, lithium) to psychological (i.e., brief cognitive therapy). We then introduce novel strategies for tracking risk in naturalistic settings and real time using ecological momentary interventions. We provide a critical integration of the literature focusing on the intersection between targets and temporality, and we conclude by proposing novel research designs integrating real-time and biologically based interventions to generate novel strategies for future suicide reduction research., (Published by Elsevier Inc.)

The present research sought to examine whether hatha yoga, implemented as an adjunctive intervention for major depression, influences markers of inflammation. A subset of 84 participants who were enrolled in a randomized controlled trial (RCT) of hatha yoga vs. health education control provided blood samples at baseline (pre-treatment) and at 3-(during treatment) and 10-week (end of treatment) follow-up visits. To be eligible for the RCT, participants met criteria for a current or recent (past two years) major depressive episode, had current elevated depression symptoms, and current antidepressant medication use. Venous blood was drawn between 2 and 6 pm and following at least one hour of fasting, and inflammatory markers (IL-6, CRP, and TNF-α) were assayed. Effects of participation in yoga relative to health education on inflammatory markers over time were examined with latent growth analyses. We observed a significant reduction in IL-6 concentrations in the yoga treatment group relative to the health education control group as demonstrated by a negative interaction between treatment group and slope of IL-6. TNF-α and CRP did not evidence significant interactions of treatment group by mean slope or intercept. In addition to the benefits of hatha yoga as an adjunctive intervention for individuals who have shown inadequate response to antidepressant medications, our findings point to possible benefits of yoga on IL-6 in depressed populations. Further research is needed to explore the effects of hatha yoga on immune function over time.

Objective: To evaluate the psychometric and predictive performance of the Columbia-Suicide Severity Rating Scale (C-SSRS) in emergency department (ED) patients with suicidal ideation or attempts (SI/SA)., Methods: Participants (n = 1,376, mean age 36.8, 55% female, 76.8% white) completed the C-SSRS during the ED visit and were followed for one year. Reliability analyses, exploratory structural equation modeling, and prediction of future SA were explored., Results: Reliability of the Suicidal Ideation subscale was adequate, but was poor for the Intensity of Ideation and Suicidal Behavior subscales. Three empirically derived factors characterized the C-SSRS. Only Factor 1 (Suicidal Ideation and Attempts) was a reliable predictor of subsequent SA, though odds ratios were small (ORs: 1.09-1.10, CI 95% : 1.04, 1.15). The original C-SSRS Suicidal Ideation and Suicidal Behavior subscales and the C-SSRS ED screen predicted subsequent SA, again with small odds ratios (ORs: 1.07-1.19, CI 95% : 1.01, 1.29). In participants without a SA history, no C-SSRS subscale predicted subsequent SA. History of any SA (OR: 1.98, CI 95% : 1.43, 2.75) was the strongest predictor of subsequent SA., Conclusions: The psychometric evidence for the C-SSRS was mixed. History of a prior SA, as measured by the C-SSRS, provided the most parsimonious and powerful assessment for predicting future SA., (© 2020 The American Association of Suicidology.)

It is essential that investigators in clinical research settings follow ethical guidelines for monitoring, assessing, and responding to suicide risk. Given the unique considerations associated with suicide risk assessment in a research context, resources informing the development of research-specific suicide risk management procedures are needed. With decades of collective experience across heterogeneous contexts, we discuss approaches to monitoring, assessing, and responding to suicide risk as a function of study sample (e.g., students, psychiatric inpatients), data collection methodologies (e.g., interview, self-report, or ecological momentary assessment), and study design (e.g., treatment research). Additional considerations include training and supervision of staff to identify suicide risk, coordination of others to respond to risk, and documentation of procedures. Finally, we attend to the impact of these procedures on the external validity of outcome data. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Adolescent romantic relationships involve complex patterns of interaction. Innovative technological advances offer opportunities to capture features and dynamics of these relationships that traditional research methods have not addressed. With the explosion of digital communication platforms (e.g., mobile texting, direct messaging, social media applications), researchers can now observe and understand adolescent relationships in vivo, offering for the first time a naturalistic lens into adolescent worlds. Recognizing this scientific opportunity, in this article, we 1) discuss the potential theoretical and methodological benefits of collecting and coding digital communication data to understand adolescent romantic relationships, 2) suggest ways to use these data to develop innovative prevention tools, and 3) address potential challenges in collecting digital communication data from adolescents.

We evaluated the feasibility and acceptability of a novel, 12-week, adjunctive, smartphone-assisted intervention to improve treatment adherence in bipolar disorder. Eight participants completed 4 in-person individual therapy sessions over the course of a month, followed by 60 days of twice-daily ecological momentary intervention (EMI) sessions, with a fifth in-person session after 30 days and a sixth in-person session after 60 days. Perceived credibility of the intervention and expectancy for change were adequate at baseline, and satisfaction on completion of the intervention was very high. Participants demonstrated good adherence to the intervention overall, including excellent adherence to the in-person component and fair adherence to the smartphone-facilitated component. Qualitative feedback revealed very high satisfaction with the in-person sessions and suggested a broad range of ways in which the EMI sessions were helpful. Participants also provided suggestions for improving the intervention, which primarily related to the structure and administration of the EMI (smartphone-administered) sessions. Although this study was not designed to evaluate treatment efficacy, most key outcome variables changed in the expected directions from pretreatment to posttreatment, and several variables changed significantly over the course of the in-person sessions or during the EMI phase. These findings add to the small but growing body of literature suggesting that EMIs are feasible and acceptable for use in populations with bipolar disorder., Competing Interests: The authors declare no conflicts of interest.

Research suggests that individuals with a history of non-suicidal self-injury (NSSI) do not have difficulty generating alternatives to social problems but choose more negative solutions, suggesting a deficit in decision-making. However, studies report no significant differences in risky decision-making on a performance-based task among individuals with and without NSSI histories. A limitation of these studies is that decision-making was only assessed at baseline. As individuals with a history of NSSI typically self-injure when experiencing negative emotions, decision-making ability may become impaired specifically in the presence of these emotions. The aim of the current study was to investigate decision-making ability among individuals with and without NSSI histories both at baseline and following a distressing social exclusion task. We compared individuals with (n=48) and without (n=72) NSSI histories on the Iowa Gambling Task, a behavioral measure of risky decision-making, before and after exclusion or inclusion on the Cyberball task. Results indicated no significant group differences in performance regardless of condition. When participants were grouped by racial/ethnic minority status, results indicated that non-Hispanic White individuals with a history of NSSI exhibited deterioration in risky decision-making ability following social exclusion. Potential explanations for these findings and clinical implications are discussed., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Severe mental illnesses, including schizophrenia and other psychotic-spectrum disorders, are a major cause of disability worldwide. Although efficacious pharmacological and psychosocial interventions have been developed for treating patients with schizophrenia, relapse rates are high and long-term recovery remains elusive for many individuals. Furthermore, little is still known about the underlying mechanisms of these illnesses. Thus, there is an urgent need to better understand the contextual factors that contribute to psychosis so that they can be better targeted in future interventions. Ecological Momentary Assessment (EMA) is a dynamic procedure that permits the measurement of variables in natural settings in real-time through the use of brief assessments delivered via mobile electronic devices (i.e., smart phones). One advantage of EMA is that it is less subject to retrospective memory biases and highly sensitive to fluctuating environmental factors. In the current article, we describe the research-to-date using EMA to better understand fluctuating symptoms and functioning in patients with schizophrenia and other psychotic disorders and potential applications to treatment. In addition, we describe a novel EMA protocol that we have been employing to study the outcomes of patients with schizophrenia following a hospital discharge. We also report the lessons we have learned thus far using EMA methods in this challenging clinical population.

Ecological momentary assessment (EMA) is one research method increasingly employed to better understand the processes that underpin depression and related phenomena. In particular, EMA is well suited to the study of affect (e.g., positive and negative affect), affective responses to stress (e.g., emotion reactivity), and behaviors (e.g., activity level, sleep) that are associated with depression. Additionally, EMA can provide insights into self-harm behavior (i.e. suicide and non-suicidal self-injury), and other mood disorders (e.g. bipolar disorder) commonly associated with depressive episodes. Given the increasing availability and affordability of handheld computing devices such as smartphones, EMA is likely to play an increasingly important role in the study of depression and related phenomena in the future.