Affective instability prior to and after thoughts about self-injury in individuals with and at-risk of psychosis: a mobile phone based study

An In-Depth Exploration of the Relationship Between Suicidal Ideation and Emotion Processes in Adolescents

Previous research has shown a relationship between proximal (i.e., close-in-time) emotion experiences and suicidal ideation (SI). Yet, it remains unclear which emotion processes (i.e., the level of the emotion [intensity], how much emotions vary [variability], emotional consistency [inertia], how specific emotions are [differentiation]) and which emotions (i.e., sadness, hopelessness, anger, nervousness, happiness) are most potent predictors of SI. Seventy-seven adolescents (67.5% assigned female at birth) completed daily diaries for 4 weeks after psychiatric hospitalization. Levels of the above-mentioned emotions and frequency of SI were recorded. For each week and each emotion, mean (intensity), standard deviation (variability), autocorrelation (inertia), and intraclass correlation coefficients (ICCs; negative emotion differentiation) were calculated (i.e., four observations/person). Multilevel models examined whether (a) mean intensity, variability, and their interaction; and (b) mean intensity, inertia, and their interaction, were related to mean weekly SI frequency. A separate model examined whether negative emotion differentiation was related to mean weekly SI frequency after adjusting for mean intensity. A significant interaction between mean intensity of anger and variability of anger emerged (B = 0.54, SE = 0.24, p = .023); a positive relationship between mean anger and mean SI frequency was present at moderate or high levels of anger variability but not at its low levels. Mean intensity of most emotions was related to SI frequency in the expected directions. No other statistically significant findings emerged. Results revealed the importance of considering multiple emotion features, their dynamic nature, and their combined effect. Future research should explore mechanisms accounting for anger being related to heightened proximal SI, along with an examination of effective intervention strategies to reduce anger intensity and variability.

Self-injury and suicidal ideation among Chinese adolescents involved in different subtypes of aggression: The role of gender

BACKGROUND

Although aggression associated self-injury and suicidal ideation, but the specific impact of different subtypes of aggression is unclear. Therefore, the current study aims to quantify the associations between five subtypes of aggression, self-injury, and suicidal ideation in Chinese adolescents.

METHOD

A total of 18,532 students were recruited in grades 7 to 12 using a stratified cluster sampling across five representative provinces in China. The Functional Assessment of Self-Mutilation (CH-FASM) and Buss and Warren's Aggression Questionnaire (BWAQ) assess self-injury and aggression, respectively.

RESULTS

During the last year, the proportion of self-injury, suicidal ideation, and self-injury plus suicidal ideation (SSI) were 13.4 %, 10.0 %, 12.4 %, respectively. Multivariate logistic regression indicated that hostility was associated with self-injury-only (OR = 1.033, 95 % CI = 1.021-1.044), suicidal ideation-only (OR = 1.075, 95 % CI = 1.061-1.088), and SSI (OR = 1.100, 95 % CI = 1.087-1.114) (all P < 0.001) across five subtypes of aggression. In gender stratification, physical aggression was risk factor for self-injury-only, suicidal ideation-only, and SSI (OR = 1.028, 95 % CI = 1.018-1.037, P < 0.001) in females. While anger was association with self-injury-only and suicidal ideation-only in males (P < 0.05).

LIMITATIONS

This study was a cross-sectional design and self-reported questionnaire.

CONCLUSION

Hostility is a strong predictor of self-injury and suicidal ideation across five subtypes of aggression. There are gender differences in relationships. Prevention programs for adolescents' self-injury and suicidal ideation should consider different subtypes of aggression and gender differences.

Emotional distress and dysregulation as treatment targets to reduce suicide in psychosis: a scoping review

There is a pressing need for effective treatments that address the high rate of suicide observed among people with psychosis. In this scoping review we highlight two suicidogenic treatment targets that have been relatively neglected in people with psychotic disorders: emotional distress and emotion dysregulation. We review the research on these constructs in psychosis and their relationship to suicide in this population, and then make clinical recommendations based on research findings. Emotional distress and emotional dysregulation may be promising treatment targets for suicide among people with psychosis.

Multidimensional variability in ecological assessments predicts two clusters of suicidal patients

The variability of suicidal thoughts and other clinical factors during follow-up has emerged as a promising phenotype to identify vulnerable patients through Ecological Momentary Assessment (EMA). In this study, we aimed to (1) identify clusters of clinical variability, and (2) examine the features associated with high variability. We studied a set of 275 adult patients treated for a suicidal crisis in the outpatient and emergency psychiatric departments of five clinical centers across Spain and France. Data included a total of 48,489 answers to 32 EMA questions, as well as baseline and follow-up validated data from clinical assessments. A Gaussian Mixture Model (GMM) was used to cluster the patients according to EMA variability during follow-up along six clinical domains. We then used a random forest algorithm to identify the clinical features that can be used to predict the level of variability. The GMM confirmed that suicidal patients are best clustered in two groups with EMA data: low- and high-variability. The high-variability group showed more instability in all dimensions, particularly in social withdrawal, sleep measures, wish to live, and social support. Both clusters were separated by ten clinical features (AUC = 0.74), including depressive symptoms, cognitive instability, the intensity and frequency of passive suicidal ideation, and the occurrence of clinical events, such as suicide attempts or emergency visits during follow-up. Initiatives to follow up suicidal patients with ecological measures should take into account the existence of a high variability cluster, which could be identified before the follow-up begins.

Telephone-Delivered Interventions for Suicide Prevention in Schizophrenia and Related Disorders: A Systematic Review

BACKGROUND

Suicide is a health problem among patients diagnosed with schizophrenia. Telehealth technology has become an emerging intervention that may offer opportunities to reach this at-risk group. However, to consider the implementation of telehealth systems in the prevention of suicidal behaviors in patients diagnosed with schizophrenia, a review of the evidence is required. The present aim was to explore the effectiveness of telephone-based suicide prevention programs among patients with schizophrenia and related disorders.

METHODS

A bibliographic search was carried out in the PubMed, PsycInfo, Scopus and Web of Science electronic databases following PRISMA guidelines. Two reviewers performed the selection, data extraction and methodological quality assessment. A total of 352 articles were retrieved, of which five studies met the eligibility criteria.

RESULTS

Globally, an adherence was observed ranging from 78 to 100%. Three studies reported a reduction in suicidal ideation and two studies showed a reduction in the risk of relapse observed in the intervention group compared to a control group.

CONCLUSIONS

In accordance with the limited data available, the use of a telephone contact approach appears to be feasible and effective in schizophrenia patients with suicidal behaviors. The preliminary evidence also suggests that this system appears to reduce suicidal ideation. Further research is required to design evidence-based future interventions and to determine whether this approach can improve patient outcomes.

Prospective and Concurrent Affective Dynamics in Self-Injurious Thoughts and Behaviors: An Examination in Young Adult Women

Affective dynamics, assessed using ecological momentary assessment (EMA), provide a nuanced understanding of within-person fluctuations of negative affect (NA) and positive affect (PA) in daily life. NA and PA dynamics have been associated with psychopathology and response to psychological treatments. NA and PA dynamics have been rarely studied concurrently in association with self-injurious thoughts and behaviors (SITB), transdiagnostic difficulties encountered regularly in clinical and community settings. Here we present EMA data from a large, diverse sample of young adult women with high rates of SITB to examine NA and PA dynamics (mean intensity, variability, and inertia). Specifically, we considered the prospective associations between past-year suicidal thoughts and past-year nonsuicidal self-injury and affective dynamics, as well as the concurrent associations between affective dynamics, EMA-reported suicidal thoughts, and EMA-reported urges for nonsuicidal self-injury. Results demonstrate that elevated mean NA and NA variability are robustly associated with all types of SITB assessed prospectively or concurrently. Interestingly, these associations were weakest for past-year nonsuicidal self-injurious behaviors, relative to past-year and concurrent suicidal or nonsuicidal self-injurious thoughts. Past-year suicidal thoughts further predicted increased NA inertia. Decreased PA inertia was associated with past-year nonsuicidal self-injury behavior, as well as concurrent EMA suicidal thoughts. We found no associations (prospective or concurrent) between SITB and mean PA intensity or PA variability. These results highlight the importance of understanding affective processes to develop real-world interventions to prevent nonsuicidal self-injury and suicidal behavior in daily life.

Precision Medicine and Suicide: an Opportunity for Digital Health

PURPOSE OF REVIEW

A better understanding of suicide phenomena is needed, and precision medicine is a promising approach toward this aim. In this manuscript, we review recent advances in the field, with particular focus on the role of digital health.

RECENT FINDINGS

Technological advances such as smartphone-based ecological momentary assessment and passive collection of information from sensors provide a detailed description of suicidal behavior and thoughts. Further, we review more traditional approaches in the field of genetics. We first highlight the need for precision medicine in suicidology. Then, in light of recent and promising research, we examine the role of smartphone-based information collection using explicit (active) and implicit (passive) means to construct a digital phenotype, which should be integrated with genetic and epigenetic data to develop tailored therapeutic and preventive approaches for suicide.

Exploring the impact of training, job tenure, and education-job and skills-job matches on employee turnover intention

Purpose

The purpose of this study is to explore how training, job tenure and education-job and skills-job matches impact employees’ turnover intention by using a representative national sample from the Korean Labor and Income Panel Study in which 1,531 individuals were followed from 2003 to 2014.

Design/methodology/approach

A hierarchical-regression analysis was conducted to examine the relationships among training, job tenure, education-job match, skills-job match and turnover intention. This analysis focused on 12 year-to-year time points from 2003 to 2014 (one for each year), and the data were measured for each individual.

Findings

The results from the hierarchical-regression analysis supported the hypotheses that on-the-job training, off-the-job training, distance training, job tenure and education-job and skills-job matches are significantly associated with turnover intention.

Originality/value

The findings of this study, based on human capital theory and firm-specific human capital theory, contribute to an understanding of how training and the education-job and skills-job matches may impact turnover intention in a non-Western context. It also provides a longitudinal perspective of the impact of training on employee turnover intention to inform human resource development professionals when planning employee training.

Improving Adherence to Web-Based and Mobile Technologies for People With Psychosis: Systematic Review of New Potential Predictors of Adherence

Background

Despite the boom in new technologically based interventions for people with psychosis, recent studies suggest medium to low rates of adherence to these types of interventions. The benefits will be limited if only a minority of service users adhere and engage; if specific predictors of adherence can be identified then technologies can be adapted to increase the service user benefits.

Objective

The study aimed to present a systematic review of rates of adherence, dropout, and approaches to analyzing adherence to newly developed mobile and Web-based interventions for people with psychosis. Specific predictors of adherence were also explored.

Methods

Using keywords (Internet or online or Web-based or website or mobile) AND (bipolar disorder or manic depression or manic depressive illness or manic-depressive psychosis or psychosis or schizophr* or psychotic), the following databases were searched: OVID including MedLine, EMBASE and PsychInfo, Pubmed and Web of Science. The objectives and inclusion criteria for suitable studies were defined following PICOS (population: people with psychosis; intervention: mobile or Internet-based technology; comparison group: no comparison group specified; outcomes: measures of adherence; study design: randomized controlled trials (RCT), feasibility studies, and observational studies) criteria. In addition to measurement and analysis of adherence, two theoretically proposed predictors of adherence were examined: (1) level of support from a clinician or researcher throughout the study, and (2) level of service user involvement in the app or intervention development. We provide a narrative synthesis of the findings and followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for reporting systematic reviews.

Results

Of the 20 studies that reported a measure of adherence and a rate of dropout, 5 of these conducted statistical analyses to determine predictors of dropout, 6 analyzed the effects of specific adherence predictors (eg, symptom severity or type of technological interface) on the effects of the intervention, 4 administered poststudy feedback questionnaires to assess continued use of the intervention, and 2 studies evaluated the effects of different types of interventions on adherence. Overall, the percentage of participants adhering to interventions ranged from 28-100% with a mean of 83%. Adherence was greater in studies with higher levels of social support and service user involvement in the development of the intervention. Studies of shorter duration also had higher rates of adherence.

Conclusions

Adherence to mobile and Web-based interventions was robust across most studies. Although 2 studies found specific predictors of nonadherence (male gender and younger age), most did not specifically analyze predictors. The duration of the study may be an important predictor of adherence. Future studies should consider reporting a universal measure of adherence and aim to conduct complex analyses on predictors of adherence such as level of social presence and service user involvement.

Turning the Page on Pen-and-Paper Questionnaires: Combining Ecological Momentary Assessment and Computer Adaptive Testing to Transform Psychological Assessment in the 21st Century

The current paper describes new opportunities for patient-centred assessment methods which have come about by the increased adoption of affordable smart technologies in biopsychosocial research and medical care. In this commentary, we review modern assessment methods including item response theory (IRT), computer adaptive testing (CAT), and ecological momentary assessment (EMA) and explain how these methods may be combined to improve psychological assessment. We demonstrate both how a 'naïve' selection of a small group of items in an EMA can lead to unacceptably unreliable assessments and how IRT can provide detailed information on the individual information that each item gives thus allowing short form assessments to be selected with acceptable reliability. The combination of CAT and IRT can ensure assessments are precise, efficient, and well targeted to the individual; allowing EMAs to be both brief and accurate.

Real-Time Monitoring of Non-linear Suicidal Dynamics: Methodology and a Demonstrative Case Report

In recent years, a number of different authors have stressed the usefulness of non-linear dynamic systems approach in suicide research and suicide prevention. This approach applies specific methods of time series analysis and, consequently, it requires a continuous and fine-meshed assessment of the processes under consideration. The technical means for this kind of process assessment and process analysis are now available. This paper outlines how suicidal dynamics can be monitored in high-risk patients by an Internet-based application for continuous self-assessment with integrated tools of non-linear time series analysis: the Synergetic Navigation System. This procedure is illustrated by data from a patient who attempted suicide at the end of a 90-day monitoring period. Additionally, future research topics and clinical applications of a non-linear dynamic systems approach in suicidology are discussed.

Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature

BACKGROUND

Serious mental illness (SMI) is one of the leading causes of disability worldwide. Emerging mobile health (mHealth) and eHealth interventions may afford opportunities for reaching this at-risk group.

AIM

To review the evidence on using emerging mHealth and eHealth technologies among people with SMI.

METHODS

We searched MEDLINE, PsychINFO, CINAHL, Scopus, Cochrane Central, and Web of Science through July 2014. Only studies which reported outcomes for mHealth or eHealth interventions, defined as remotely delivered using mobile, online, or other devices, targeting people with schizophrenia, schizoaffective disorder, or bipolar disorder, were included.

RESULTS

Forty-six studies spanning 12 countries were included. Interventions were grouped into four categories: (1) illness self-management and relapse prevention; (2) promoting adherence to medications and/or treatment; (3) psychoeducation, supporting recovery, and promoting health and wellness; and (4) symptom monitoring. The interventions were consistently found to be highly feasible and acceptable, though clinical outcomes were variable but offered insight regarding potential effectiveness.

CONCLUSIONS

Our findings confirm the feasibility and acceptability of emerging mHealth and eHealth interventions among people with SMI; however, it is not possible to draw conclusions regarding effectiveness. Further rigorous investigation is warranted to establish effectiveness and cost benefit in this population.

Testing an mHealth momentary assessment Routine Outcome Monitoring application: a focus on restoration of daily life positive mood states

BACKGROUND

Routine Outcome Monitoring (ROM) is used as a means to enrich the process of treatment with feedback on patient outcomes, facilitating patient involvement and shared decision making. While traditional ROM measures focus on retrospective accounts of symptoms, novel mHealth technology makes it possible to collect real life, in-the-moment ambulatory data that allow for an ecologically valid assessment of personalized and contextualized emotional and behavioural adjustment in the flow daily life (mROM).

METHOD

In a sample of 34 patients with major depressive disorder, treated with antidepressants, the combined effect of treatment and natural course was examined over a period of 18 weeks with Ecological Momentary Assessment (EMA). EMA consisted of repeated, within-subject, mini-measurements of experience (eg positive affect, negative affect, medication side effects) and context (eg stressors, situations, activities) at 10 unselected semi-random moments per day, for a period of six days, repeated three times over the 18-week period (baseline, week 6 and week 18).

RESULTS

EMA measures of emotional and behavioural adjustment were sensitive to the effects of treatment and natural course over the 18-week period, particularly EMA measures focussing on positive mood states and the ability to use natural rewards (impact of positive events on positive mood states), with standardized effect sizes of 0.4-0.5. EMA measures of activities, social interaction, stress-sensitivity and negative mood states were also sensitive to change over time.

CONCLUSION

This study supports the use of mROM as a means to involve the patient in the process of needs assessment and treatment. EMA data are meaningful to the patient, as they reflect daily life circumstances. Assessment of treatment response with mROM data allows for an interpretation of the effect of treatment at the level of daily life emotional and social adjustment--as an index of health, obviating the need for an exclusive focus on traditional measures of 'sickness'.

The temporal association between self-injurious thoughts and psychotic symptoms: a mobile phone assessment study

The relationship between psychotic symptoms and self-injurious thoughts (SITs) remains unclear. The short-term temporal associations between psychotic symptoms and SITs were explored. A sample of 36 people with a diagnosis of a psychotic disorder or at-risk mental state completed mobile phone-based measures at multiple times each day for 1 week. Clustered regression with time-lagged variables supported a relationship between paranoia and subsequent SITs. Hallucinations did not predict these thoughts when controlling for paranoia. The role of specific psychotic symptoms in triggering SITs is highlighted and the importance of considering these factors in risk management is discussed.

Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditions

Background

Patient retrospective recollection is a mainstay of assessing symptoms in mental health and psychiatry. However, evidence suggests that these retrospective recollections may not be as accurate as data collection though the experience sampling method (ESM), which captures patient data in “real time” and “real life.” However, the difficulties in practical implementation of ESM data collection have limited its impact in psychiatry and mental health. Smartphones with the capability to run mobile applications may offer a novel method of collecting ESM data that may represent a practical and feasible tool for mental health and psychiatry.

Objective

This paper aims to provide data on psychiatric patients’ prevalence of smartphone ownership, patterns of use, and interest in utilizing mobile applications to monitor their mental health conditions.

Methods

One hundred psychiatric outpatients at a large urban teaching hospital completed a paper-and-pencil survey regarding smartphone ownership, use, and interest in utilizing mobile applications to monitor their mental health condition.

Results

Ninety-seven percent of patients reported owning a phone and 72% reported that their phone was a smartphone. Patients in all age groups indicated greater than 50% interest in using a mobile application on a daily basis to monitor their mental health condition.

Conclusions

Smartphone and mobile applications represent a practical opportunity to explore new modalities of monitoring, treatment, and research of psychiatric and mental health conditions.