Investigating the role of the intensity and duration of self-injury thoughts in self-injury with ecological momentary assessment

Longitudinal trajectories of suicidal ideation among child welfare-involved 7- to 12-year-old children

BACKGROUND

Young children involved in the child welfare system (CWS) are at high risk for suicidal ideation (SI) at a time when overall rates of suicide death in this age group are rising. Yet risk factors for and changes in SI over time are poorly understood in this population.

METHOD

We combined data from two large representative longitudinal studies of children involved in the United States CWS. We examined patterns of SI among children who were between ages 7 and 12 years at the initial survey wave (N = 2,186), assessed at three waves using a measure of SI in the past 2 weeks. We conducted a multinomial regression to understand the baseline demographic, child maltreatment, and mental health characteristics that distinguish the trajectories.

RESULTS

There were eight different subgroups (Non-Ideators, Late Ideators, Boomerang Ideators, Delayed Ideators, Desisters, Boomerang Non-Ideators, Late Desisters, and Persisters). Differences in race, type of maltreatment, sex, and mental health symptoms were identified when comparing Persisters (SI at all three waves) to other groups.

CONCLUSIONS

These findings can help researchers and practitioners to develop strategies for better identifying CWS-involved children who are in greatest need of suicide risk monitoring and intervention.

Picturing self-harm: Investigating flash-forward mental imagery as a proximal and modifiable driver of non-suicidal self-injury

OBJECTIVES

Non-suicidal self-injury (NSSI) is theorized to be reinforced by its emotional consequences. Mental images of NSSI are commonly reported as occurring prior to NSSI. Based on the known functional properties of anticipatory mental imagery as an emotional and motivational amplifier, this study investigated whether NSSI mental imagery constitutes a proximal and dynamic mechanism underpinning NSSI risk.

METHOD

An intensive ecological momentary assessment (EMA) study was conducted to track the occurrence and characteristics of NSSI mental imagery alongside NSSI urge and behavior in naturalistic settings. A sample of N = 43 individuals aged 17 to 24 with a history of repetitive NSSI completed EMA surveys seven times a day for 14 days.

RESULTS

Mental preoccupation in the form of NSSI mental imagery-based flash-forwards to the actions, bodily sensations, and emotional benefits of NSSI was found to occur when NSSI urge was high but not when urge was low. Critically, objective cross-panel analyses showed that higher frequencies of NSSI imagery occurrence predicted greater future NSSI urge and increased likelihood of acting on urge, over and above current urge.

CONCLUSIONS

Mental imagery of NSSI is not simply an epiphenomenal by-product of NSSI urge and may constitute a dynamic and proximal novel intervention target.

The Prediction Model of Non-Suicidal Self-Injury in Psychiatric Patients Using Decision Tree Analysis

PURPOSE

The prevalence rate of non-suicidal self-injury (NSSI) in the clinical population is higher than that in the community sample, necessitating the need to investigate the predicting factors of NSSI in this group. The present study aimed to develop a prediction model of NSSI among psychiatric patients in Korea.

MATERIALS AND METHODS

Decision tree analysis was conducted on a sample of 224 psychiatric patients. Emotion regulation strategies (rumination, cognitive reappraisal, and expressive suppression), impulsivity, problematic alcohol use, working memory, depressive mood, and gender were included in the model as predictors of NSSI.

RESULTS

Results indicated that rumination, problematic alcohol use, and working memory predicted lifetime NSSI engagement among psychiatric patients. The best predictor of lifetime NSSI engagement was rumination. Specifically, when the level of rumination was high, the level of working memory was lower, and the risk of NSSI was higher. In the case of low levels of rumination, the higher the level of problematic alcohol use, the higher the risk of NSSI. The highest prevalence of lifetime NSSI engagement was found in a subgroup of patients with high levels of rumination and low levels of working memory.

CONCLUSION

The major contribution of this study is finding a combination of factors to predict the high-risk group of NSSI among psychiatric patients in Korea. This study provides evidence on the effect of rumination, working memory, and problematic alcohol use on NSSI. It is suggested that clinicians and researchers should pay more attention to emotion regulation and related vulnerabilities in preventing and treating NSSI.

How do people conceptualize self-harm recovery and what helps in adolescence, young and middle adulthood? A qualitative meta-synthesis

OBJECTIVE

Self-harm can be understood as any behavior individuals use to harm themselves, irrespective of motive. Evidence has extensively examined the epidemiology and function of self-harm to the individual, but less is known about the subjective processes underpinning recovery. Such insights could inform therapeutic interventions to better support individuals. The present aim was to synthesize qualitative themes from eligible literature to identify how adolescents, young adults, and those in middle adulthood conceptualize self-harm recovery and the factors impacting this process.

METHODS

Eleven studies were identified from a systematic search of five electronic research databases: PsycINFO, Embase, Medline, Global Health, and CINAHL. Studies were critically appraised using an adapted Critical Appraisal Skills Program tool for qualitative research. A meta-synthesis was conducted using reflexive thematic analysis to generate themes across the included studies.

RESULTS

Themes depicted recovery as a multidimensional, nonlinear, and subjective process, characterized by a "push and pull" between states of (re-)engagement and cessation/reduction. Transition between these states was influenced by intrapersonal and interpersonal factors which were embedded in a wider milieu of the meaning of self-harm to the individual.

CONCLUSION

Contemporary ideas of symptom eradication as the only marker of complete recovery may hinder individuals in the long-term, presenting an obstacle both to quality of life and therapeutic progress. Movement away from self-harm recovery as a uniform or singular phenomenon could enhance person-centered care.

The Detection of Acute Risk of Self-injury Project: Protocol for an Ecological Momentary Assessment Study Among Individuals Seeking Treatment

BACKGROUND

Nonsuicidal self-injury (NSSI) is a major mental health concern. Despite increased research efforts on establishing the prevalence and correlates of the presence and severity of NSSI, we still lack basic knowledge of the course, predictors, and relationship of NSSI with other self-damaging behaviors in daily life. Such information will be helpful for better informing mental health professionals and allocating treatment resources. The DAILY (Detection of Acute rIsk of seLf-injurY) project will address these gaps among individuals seeking treatment.

OBJECTIVE

This protocol paper presents the DAILY project's aims, design, and materials used. The primary objectives are to advance understanding of (1) the short-term course and contexts of elevated risk for NSSI thoughts, urges, and behavior; (2) the transition from NSSI thoughts and urges to NSSI behavior; and (3) the association of NSSI with disordered eating, substance use, and suicidal thoughts and behaviors. A secondary aim is to evaluate the perspectives of individuals seeking treatment and mental health professionals regarding the feasibility, scope, and utility of digital self-monitoring and interventions that target NSSI in daily life.

METHODS

The DAILY project is funded by the Research Foundation Flanders (Belgium). Data collection involves 3 phases: a baseline assessment (phase 1), 28 days of ecological momentary assessment (EMA) followed by a clinical session and feedback survey (phase 2), and 2 follow-up surveys and an optional interview (phase 3). The EMA protocol consists of regular EMA surveys (6 times per day), additional burst EMA surveys spaced at a higher frequency when experiencing intense NSSI urges (3 surveys within 30 minutes), and event registrations of NSSI behavior. The primary outcomes are NSSI thoughts, NSSI urges, self-efficacy to resist NSSI, and NSSI behavior, with disordered eating (restrictive eating, binge eating, and purging), substance use (binge drinking and smoking cannabis), and suicidal thoughts and behaviors surveyed as secondary outcomes. The assessed predictors include emotions, cognitions, contextual information, and social appraisals.

RESULTS

We will recruit approximately 120 individuals seeking treatment aged 15 to 39 years from mental health services across the Flanders region of Belgium. Recruitment began in June 2021 and data collection is anticipated to conclude in August 2023.

CONCLUSIONS

The findings of the DAILY project will provide a detailed characterization of the short-term course and patterns of risk for NSSI and advance understanding of how, why, and when NSSI and other self-damaging behaviors unfold among individuals seeking treatment. This will inform clinical practice and provide the scientific building blocks for novel intervention approaches outside of the therapy room that support people who self-injure in real time.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/46244.

Developing a Mobile App for Young Adults with Nonsuicidal Self-Injury: A Prototype Feedback Study

Nonsuicidal self-injury (NSSI) affects approximately 13% of young adults. Though evidence-based treatments for NSSI exist, most young adults do not receive treatment. Digital interventions can provide access to evidence-based treatments for NSSI at scale. Further, preliminary research suggests the acceptability, feasibility, and potential efficacy of digital interventions for NSSI. To date, however, there are few publicly available digital interventions developed specifically for young adults who engage in NSSI. The aim of this study was to solicit young adults' impressions of early app prototypes to identify ways of improving interactive features and content needs. Building on a prior interview study which explored young adults' self-management of NSSI and their use of technology in self-management, this study involved three waves of iterative app prototype feedback sessions with 10 young adults with past month NSSI. In general, participants responded favorably and provided feedback to augment the app to better meet their needs, including adding new features and functionality as well as increasing opportunities for personalization. We discuss two key design challenges related to the roles of tracking and temporality in digital interventions for NSSI, and then frame design considerations related to these challenges within the lived informatics model.

A Machine Learning Approach for Predicting Non-Suicidal Self-Injury in Young Adults

Artificial intelligence techniques were explored to assess the ability to anticipate self-harming behaviour in the mental health context using a database collected by an app previously designed to record the emotional states and activities of a group of subjects exhibiting self-harm. Specifically, the Leave-One-Subject-Out technique was used to train classification trees with a maximum of five splits. The results show an accuracy of 84.78%, a sensitivity of 64.64% and a specificity of 85.53%. In addition, positive and negative predictive values were also obtained, with results of 14.48% and 98.47%, respectively. These results are in line with those reported in previous work using a multilevel mixed-effect regression analysis. The combination of apps and AI techniques is a powerful way to improve the tools to accompany and support the care and treatment of patients with this type of behaviour. These studies also guide the improvement of apps on the user side, simplifying and collecting more meaningful data, and on the therapist side, progressing in pathology treatments. Traditional therapy involves observing and reconstructing what had happened before episodes once they have occurred. This new generation of tools will make it possible to monitor the pathology more closely and to act preventively.

Development of a Mobile App for Clinical Research: Challenges and Implications for Investigators

Advances in mobile app technologies offer opportunities for researchers to feasibly collect a large amount of patient data that were previously inaccessible through traditional clinical research methods. Collection of data via mobile devices allows for several advantages, such as the ability to continuously gather data outside of research facilities and produce a greater quantity of data, making these data much more valuable to researchers. Health services research is increasingly incorporating mobile health (mHealth), but collecting these data in current research institutions is not without its challenges. Our paper uses a specific example to depict specific challenges of mHealth research and provides recommendations for investigators looking to incorporate digital app technologies and patient-collected digital data into their studies. Our experience describes how clinical researchers should be prepared to work with variable software and mobile app development timelines; research institutions that are interested in participating in mHealth research need to invest in supporting information technology infrastructures in order to be a part of the growing field of mHealth and gain access to valuable patient-collected data.

Affective variability and childhood abuse increase the risk for nonsuicidal self-injury following psychiatric hospitalization

Childhood abuse is associated with myriad negative behavioral health outcomes, including nonsuicidal self-injury (NSSI). Models aimed at understanding the mechanism whereby childhood abuse may exert negative effects frequently highlight alterations or dysregulations in experienced affect, particularly during times of stress. The period immediately following discharge from psychiatric hospitalization represents a time of risk for individuals experiencing NSSI. We aimed to investigate the extent to which childhood abuse predicts affective variability and examine whether affective variability predicts who will experience NSSI thoughts or behaviors in the 6 months following hospital discharge. Participants were adults (N = 133) engaged in a 3-week ecological momentary assessment study immediately following psychiatric hospitalization who returned for a 6-month follow-up. Location scale modeling (LSM) was used to model the impact of childhood abuse on affect variability; estimates of affect variability were then resampled and examined as risk factors for NSSI at follow-up. Overall, individuals who experienced childhood abuse reported lower positive affect intensity. Participants exposed to emotional and sexual abuse reported less between-person variability in positive affect, and those who experienced sexual abuse evidenced higher between-person variability in negative affect. Models indicated that higher overall negative affect was associated with a higher NSSI risk, ORs ∼ 1.82-2.10 even after accounting for childhood abuse and lifetime NSSI. These findings indicate the importance of in vivo affect as a critical influence on behavior during high-risk periods, reinforcing the need to move beyond traditional cross-sectional approaches of assessment, analysis, and treatment.

Opening the Black Box of Daily Life in Nonsuicidal Self-injury Research: With Great Opportunity Comes Great Responsibility

Although nonsuicidal self-injury (NSSI)-deliberate damaging of body tissue without suicidal intent-is a behavior that occurs in interaction with real-world contexts, studying NSSI in the natural environment has historically been impossible. Recent advances in real-time monitoring technologies have revolutionized our ability to do exactly that, providing myriad research and clinical practice opportunities. In this viewpoint paper, we review new research pathways to improve our ability to understand, predict, and prevent NSSI, and provide critical perspectives on the responsibilities inherent to conducting real-time monitoring studies on NSSI. Real-time monitoring brings unique opportunities to advance scientific understanding about (1) the dynamic course of NSSI, (2) the real-time predictors thereof and ability to detect acute risk, (3) the ecological validity of theoretical models, (4) the functional mechanisms and outcomes of NSSI, and (5) the promotion of person-centered care and novel technology-based interventions. By considering the opportunities of real-time monitoring research in the context of the accompanying responsibilities (eg, inclusive recruitment, sound and transparent research practices, participant safety and engagement, measurement reactivity, researcher well-being and training), we provide novel insights and resources to open the black box of daily life in the next decade(s) of NSSI research.

Predicting Non-Suicidal Self-Injury in Young Adults with and without Borderline Personality Disorder: a Multilevel Approach Combining Ecological Momentary Assessment and Self-Report Measures

Non-suicidal self-injury (NSSI) is an increasingly prevalent phenomenon associated with many detrimental outcomes, ranging from poor academic performance to suicide attempts. Research on self-harming behaviors has identified emotion dysregulation, negative affect, and borderline pathology as strong risk factors of NSSI, whereas the potential protective effects of metacognitive skills such as decentering have not yet been explored. The current study combined ecological momentary assessment (EMA) and self-report measures to explore potential risk and protective factors of NSSI in a clinical group of Borderline Personality Disorder (BPD) patients with NSSI (N = 22), a subclinical group of college students with NSSI (N = 19), and a non-clinical healthy control group (N = 23). Participants completed self-report measures of borderline pathology, emotion dysregulation, decentering ability, and negative emotional symptoms, and they used the Sinjur App (EMA instrument) at least three times a day for 15 days to capture negative affect and NSSI in daily life. A multilevel mixed-effect regression analysis with both self-report and EMA measures was conducted to identify predictors of NSSI. The multilevel analysis showed that only momentary frustration directly predicted NSSI. Momentary guilt and anger only predicted NSSI when interacting with more stable traits of borderline pathology and negative emotional symptoms. Most importantly, greater decentering capacity protected against self-injury and attenuated the association between momentary sadness and NSSI. Findings contribute novel knowledge about NSSI, documenting the protective effects of decentering and highlighting the benefit of interventions that target metacognitive emotion regulation skills.

Suicidal thoughts, suicidal behaviours and self-harm in daily life: A systematic review of ecological momentary assessment studies

Background

Ecological Momentary Assessments (EMA) offer an approach to understand the daily risk factors of suicide and self-harm of individuals through the use of self-monitoring techniques using mobile technologies.

Objectives

This systematic review aimed to examine the results of studies on suicidality risk factors and self-harm that used Ecological Momentary Assessments.

Methods

Pubmed and PsycINFO databases were searched up to April 2020. Bibliographies of eligible studies were hand-searched, and 744 abstracts were screened and double-coded for inclusion.

Results

The 49 studies using EMA included in the review found associations between daily affect, rumination and interpersonal interactions and daily non-suicidal self-injury (NSSI). Studies also found associations between daily negative affect and positive affect, social support, sleep, and emotions and a person's history of suicide and self-harm. Associations between daily suicide thoughts and self-harm, and psychopathology factors measured at baseline were also observed.

Conclusions

Research using EMA has the potential to offer clinicians the ability to understand the daily predictors, or risk factors, of suicide and self-harm. However, there are no clear reporting standards for EMA studies on risk factors for suicide. Further research should utilise longitudinal study designs, harmonise datasets and use machine learning techniques to identify patterns of proximal risk factors for suicide behaviours.

Fluctuations in Affective States and Self-Efficacy to Resist Non-Suicidal Self-Injury as Real-Time Predictors of Non-Suicidal Self-Injurious Thoughts and Behaviors

INTRODUCTION

Although research over the past decade has resulted in significantly increased knowledge about distal risk factors for non-suicidal self-injury (NSSI), little is known about short-term (proximal) factors that predict NSSI thoughts and behaviors. Drawing on contemporaneous theories of NSSI, as well as the concept of ideation-to-action, the present study clarifies (a) real-time factors that predict NSSI thoughts and (b) the extent to which theoretically important momentary factors (i.e., negative affect, positive affect, and self-efficacy to resist NSSI) predict NSSI behavior in daily life, beyond NSSI thoughts.

METHODS

Using experience sampling methodology, intensive longitudinal data was obtained from 30 young adults with frequent NSSI episodes in the last year. Participants completed assessments up to eight times per day for 12 consecutive days (signal-contingent sampling). This resulted in the collection of 2,222 assessments (median compliance = 79.2%) during which 591 NSSI thoughts and 270 NSSI behaviors were recorded. Using the dynamic structural equation modeling framework, multilevel vector autoregressive models were constructed.

RESULTS

Within the same assessment, negative affect was positively associated with NSSI thoughts, whereas positive affect and self-efficacy to resist NSSI were each negatively associated with NSSI thoughts. Across assessments, higher-than-usual negative affect and self-efficacy to resist NSSI were predictive of short-term change in NSSI thoughts. While fluctuations in both negative affect and positive affect prospectively predicted NSSI behavior, these factors became non-significant in models that controlled for the predictive effect of NSSI thoughts. In contrast, self-efficacy to resist NSSI incrementally predicted a lower probability of engaging in NSSI, above and beyond NSSI thoughts.

DISCUSSION

This study provides preliminary evidence that affective fluctuations may uniquely predict NSSI thoughts but not NSSI behaviors, and point to the role of personal belief in the ability to resist NSSI in preventing NSSI behavior. These findings illustrate the need to differentiate between the development of NSSI thoughts and the progression from NSSI thoughts to behavior, as these are likely distinct processes, with different predictors.