Mood instability, mental illness and suicidal ideas: results from a household survey

Mood instability in patients with unipolar depression measured using smartphones and the association with measures of wellbeing, recovery and functioning

OBJECTIVE

While mood instability is strongly linked to depression, its ramifications remain unexplored. In patients diagnosed with unipolar depression (UD), our objective was to investigate the association between mood instability, calculated based on daily smartphone-based patient-reported data on mood, and functioning, quality of life, perceived stress, empowerment, rumination, recovery, worrying and wellbeing.

METHODS

Patients with UD completed daily smartphone-based self-assessments of mood for 6 months, making it possible to calculate mood instability using the Root Mean Squared Successive Difference (rMSSD) method. A total of 59 patients with UD were included. Data were analyzed using mixed effects regression models.

RESULTS

There was a statistically significant association between increased mood instability and increased perceived stress (adjusted model: B: 0.010, 95% CI: 0.00027; 0.021, p = 0.044), and worrying (adjusted model: B: 0.0060, 95% CI: 0.000016; 0.012, p = 0.049), and decreased quality of life (adjusted model: B: -0.0056, 95% CI: -0.011; -0.00028, p = 0.039), recovery (adjusted model: B: -0.032, 95% CI: -0.0059; -0.00053, p = 0.019) and wellbeing. There were no statistically significant associations between mood instability and functioning, empowerment, and rumination (p's >0.09).

CONCLUSION

These findings underscore the significant influence of mood instability on patients' daily lives. Identification of mood fluctuations offer potential insights into the trajectory of the illness in these individuals.

Development of a self-report screening instrument for emotional dysregulation: the Reactivity, Intensity, Polarity and Stability questionnaire, screening version (RIPoSt-SV)

BACKGROUND

Emotional dysregulation (ED) refers to the inability to manage emotional experiences or expressions hindering goal-oriented behavior. Moderate impairment on at least two domains among temper control, affective lability, and emotional over-reactivity has been proposed to identify ED in adults with attention-deficit/hyperactivity disorder (ADHD). No screening measure designed for use in diverse psychiatric samples exists. We aimed to develop a self-report screening tool for ED based on the 40-item version of the Reactivity, Intensity, Polarity, and Stability questionnaire (RIPoSt-40).

METHODS

150 adult outpatients with non-psychotic conditions were enrolled between February and July 2023 at the Second Psychiatry Unit of Pisa University Hospital. Clinically significant ED (CSED) was defined based on the previously suggested approach for ADHD. Differences between patients with and without CSED were tested. To develop our screening instrument, a decision tree algorithm was trained by hyperparameter tuning through 5-fold cross-validation in 120 subjects and tested on the remaining 30.

RESULTS

75 subjects met criteria for CSED (50 %). CSED was associated with lower age and higher prevalence of psychiatric conditions, including minor mood disorders, ADHD, cannabis use disorders, and eating disorders. We identified a decision tree consisting of six items from RIPoSt-40 that effectively detected CSED, with accuracy, sensitivity, specificity, positive and negative predictive values of 80 % or higher in both the training and testing sets.

LIMITATIONS

Tertiary-level; no consensus on criteria; sample size.

CONCLUSION

The screening version of the Reactivity, Intensity, Polarity, and Stability questionnaire (RIPoSt-SV) demonstrates promise as a valuable tool for ED screening in clinical settings.

A Dimensional Approach to Emotional Lability in Youth

Emotional lability (EL) is a common symptom dimension in youth. It manifests in the context of a number of psychiatric illnesses and is a promising transdiagnostic construct that is recognizable and treatable and warrants further study. Multiple terms and assessment tools exist to define and measure EL, and it has a phenomenology distinct from the related construct of irritability. This clinical perspective reviews the neurobiological and clinical evidence in support of EL as an important symptom dimension that responds to a variety of behavioral and medication interventions and highlights the significant limitations of this approach.

The Mediating Roles of Affect Lability and Experiential Avoidance Between Distress Tolerance and Suicidal Ideation Among College Students

Objective: Suicidal ideation (SI) is highly prevalent among college students. Research has shown that college students are also more likely to experience low distress tolerance, affect lability, and experiential avoidance, which have been linked to SI. There is a critical need to examine the mechanisms that increase the risk of SI among college students. It is hypothesized that distress tolerance will be a strong predictor of SI, and affect lability as well as experiential avoidance will mediate this relationship. Participants and Methods: Participants (n = 820) from a Southeastern University completed an online survey, inquiring about demographic information, affect lability, SI, experiential avoidance, and distress tolerance. Data were analyzed utilizing structural equation modeling. Results: Distress tolerance was not directly related to SI. However, affect lability and experiential avoidance were found to mediate this relationship. Conclusions: Affect lability and experiential avoidance may be important predictors of SI among college students.

Moment-to-moment affective dynamics in schizophrenia and bipolar disorder

BACKGROUND

Affective disturbances in schizophrenia and bipolar disorder may represent a transdiagnostic etiological process as well as a target of intervention. Hypotheses on similarities and differences in various parameters of affective dynamics (intensity, successive/acute changes, variability, and reactivity to stress) between the two disorders were tested.

METHODS

Experience sampling method was used to assess dynamics of positive and negative affect, 10 times a day over 6 consecutive days. Patients with schizophrenia (n = 46) and patients with bipolar disorder (n = 46) were compared against age-matched healthy controls (n = 46).

RESULTS

Compared to controls, the schizophrenia group had significantly more intense momentary negative affect, a lower likelihood of acute changes in positive affect, and reduced within-person variability of positive affect. The bipolar disorder group was not significantly different from either the schizophrenia group or the healthy control group on any affect indexes. Within the schizophrenia group, level of depression was associated with weaker reactivity to stress for negative affect. Within the bipolar disorder group, level of depression was associated with lower positive affect.

CONCLUSIONS

Patients with schizophrenia endured a more stable and negative affective state than healthy individuals, and were less likely to be uplifted in response to happenings in daily life. There is little evidence that these affective constructs characterize the psychopathology of bipolar disorder; such investigation may have been limited by the heterogeneity within group. Our findings supported the clinical importance of assessing multiple facets of affective dynamics beyond the mean levels of intensity.

Personality traits as risk factors for relapse or recurrence in major depression: a systematic review

Background

Major depressive disorder (MDD) is highly recurrent. Identifying risk factors for relapse in depression is essential to improve prevention plans and therapeutic outcomes. Personality traits and personality disorders are widely considered to impact outcomes in MDD. We aimed to evaluate the role of personality aspects in the risk of relapse and recurrence in MDD.

Method

A PROSPERO-registered systematic review was conducted using Medline, Embase, PsycINFO, Web of Science and CINAHL as data sources, together with hand searching of four journals over the five years till 2022. There was independent abstract selection, quality assessment and data extraction from each study.

Results

Twenty two studies me t eligibility criteria involving 12,393 participants. Neurotic personality features are significantly associated with the risk of relapse and recurrence of depression, though the data is not uniform. There is some, though limited, evidence that borderline, obsessive-compulsive and dependent personality traits or disorders increase the risk for relapse in depression.

Limitations

The small number, in addition to the methodological heterogeneity of the included studies, did not allow further analysis, such as meta-analysis.

Conclusion

People with high neuroticism and dependent personality traits, borderline personality disorder or obsessive-compulsive personality disorder, compared to those without, may be at a higher risk of experiencing relapse or recurrence of MDD. Specific and targeted interventions may potentially reduce relapse and recurrence rates in these groups and could improve outcomes.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=235919, identifier: CRD42021235919.

Maternal-Infant Attachment and its Relationships with Postpartum Depression, Anxiety, Affective Instability, Stress, and Social Support in a Canadian Community Sample

As a crucial component of child development, maternal-infant attachment influences a child's cognitive, psychological, and social development. Maternal depression, anxiety, stress, and social support have been identified as risk factors for poor maternal-infant attachment in some studies, while others did not find such relationships. The aim of this study was to examine the associations of maternal-infant attachment with depression, anxiety, affective instability, stress, social support, and other variables in a community sample of Canadian postpartum women. A total of 108 Canadian postpartum women participated in this cross-sectional study. The Depression, Anxiety, and Stress Scale-21 (DASS-21) assessed depression, anxiety, and stress, and the Affective lability Scale-18 measured affective instability (AI). Multiple linear regression was conducted to examine the association between maternal-infant attachment and other variables. The findings revealed a significant association of maternal-infant attachment with postpartum depression, and infant temperament, while anxiety, AI, stress, and social support were not identified as predictors for maternal-infant attachment. The results implicate the importance of addressing maternal depression and maternal-infant attachment, consequently decreasing the risk for childhood psychopathology.

The shared genetic basis of mood instability and psychiatric disorders: A cross-trait genome-wide association analysis

Recent genome-wide association studies of mood instability (MOOD) have found significant positive genetic correlation with major depression (DEP) and weak correlations with other psychiatric disorders. We investigated the polygenic overlap between MOOD and psychiatric disorders beyond genetic correlation to better characterize putative shared genetic determinants. GWAS summary statistics for schizophrenia (SCZ, n = 105,318), bipolar disorder (BIP, n = 413,466), DEP (n = 450,619), attention-deficit hyperactivity disorder (ADHD, n = 53,293), and MOOD (n = 363,705) were analyzed using the bivariate causal mixture model and conjunctional false discovery rate methods. MOOD correlated positively with all psychiatric disorders, but with wide variation in strength (r_g  = 0.10-0.62). Of 10.4 K genomic variants influencing MOOD, 4 K-9.4 K influenced psychiatric disorders. Furthermore, MOOD was jointly associated with DEP at 163 loci, SCZ at 110, BIP at 60 and ADHD at 25. Fifty-three jointly associated loci were overlapping across two or more disorders, seven of which had discordant effect directions on psychiatric disorders. Genes mapped to loci associated with MOOD and all four disorders were enriched in a single gene-set, "synapse organization." The extensive polygenic overlap indicates shared molecular underpinnings across MOOD and psychiatric disorders. However, distinct patterns of genetic correlation and effect directions may relate to differences in the core clinical features of each disorder.

Leave Me Alone With Your Symptoms! Social Exclusion at the Workplace Mediates the Relationship of Employee's Mental Illness and Sick Leave

Although a substantial part of employees suffers from a mental illness, the work situation of this population still is understudied. Previous research suggests that people with a mental illness experience discrimination in the workplace, which is known to have detrimental effects on health. Building on the stereotype content model and allostatic load theory, the present study investigated whether employees with a mental illness become socially excluded at the workplace and therefore show more days of sick leave. Overall, 86 employees diagnosed with a mental disorder were interviewed and completed online-surveys. Path analyses supported the hypotheses, yielding a serial mediation: The interview-rated severity of the mental disorder had an indirect effect on the days of sick leave, mediated by the symptomatic burden and the social exclusion at the workplace. In the light of the costs associated with absenteeism the present paper highlights the harmfulness of discrimination. Organizations and especially supervisors need to be attentive for signs of exclusion within their teams and try to counteract as early as possible.

Using a generative model of affect to characterize affective variability and its response to treatment in bipolar disorder

The affective variability of bipolar disorder (BD) is thought to qualitatively differ from that of borderline personality disorder (BPD), with changes in affect persisting longer in BD. However, quantitative studies have not been able to confirm this distinction. It has therefore not been possible to accurately quantify how treatments like lithium influence affective variability in BD. We assessed the affective variability associated with BD and BPD as well as the effect of lithium using a computational model that defines two subtypes of variability: affective changes that persist (volatility) and changes that do not (noise). We hypothesized that affective volatility would be raised in the BD group, noise would be raised in the BPD group, and that lithium would impact affective volatility. Daily affect ratings were prospectively collected for up to 3 y from patients with BD or BPD and nonclinical controls. In a separate experimental medicine study, patients with BD were randomized to receive lithium or placebo, with affect ratings collected from week -2 to +4. We found a diagnostically specific pattern of affective variability. Affective volatility was raised in patients with BD, whereas affective noise was raised in patients with BPD. Rather than suppressing affective variability, lithium increased the volatility of positive affect in both studies. These results provide a quantitative measure of the affective variability associated with BD and BPD. They suggest a mechanism of action for lithium, whereby periods of persistently low or high affect are avoided by increasing the volatility of affective responses.

Affective Instability, Depression, and Anxiety Symptoms in a Community Sample of Pregnant and Postpartum Women: A Cross-Sectional Study

BACKGROUND

Although perinatal women experience an elevated level of affective instability (AI), limited research has been conducted to examine perinatal AI and its relation to depression and anxiety. The current study investigated correlations between AI and depression, between AI and anxiety during the perinatal period, and between current depression and anxiety and the latent factors of the Affective Lability Scale-18 (ALS-18).

METHODS

202 Canadian perinatal women participated in this cross-sectional study. The ALS-18 was used to assess AI, while the Depression, Anxiety, and Stress Scale-21 measured depression, anxiety, and stress. Multiple logistic regression was performed to investigate the relationship between AI and depression and anxiety, and multiple linear regression was conducted to examine the association between current depression and anxiety and the three latent factors of ALS-18.

RESULTS

The findings revealed a significant association between AI and depression and between AI and anxiety. Current depression and anxiety were correlated with ALS-18 factors of depression/anxiety shift and depression/elation shift, while current depression was linked to ALS-18 factor of anger.

CONCLUSIONS

The study findings have important implications for early detection and intervention of maternal anxiety and depression. In order to improve maternal mental health, AI should be included in routine perinatal check-ups.

Characterization of affective lability across subgroups of psychosis spectrum disorders

BACKGROUND

Affective lability is elevated and associated with increased clinical burden in psychosis spectrum disorders. The extent to which the level, structure and dispersion of affective lability varies between the specific disorders included in the psychosis spectrum is however unclear. To have potential value as a treatment target, further characterization of affective lability in these populations is necessary. The main aim of our study was to investigate differences in the architecture of affective lability in different psychosis spectrum disorders, and if putative differences remained when we controlled for current symptom status.

METHODS

Affective lability was measured with The Affective Lability Scale Short Form (ALS-SF) in participants with schizophrenia (SZ, n = 76), bipolar I disorder (BD-I, n = 105), bipolar II disorder (BD-II, n = 68) and a mixed psychosis-affective group (MP, n = 48). Multiple analyses of covariance were conducted to compare the ALS-SF total and subdimension scores of the diagnostic groups, correcting for current psychotic, affective and anxiety symptoms, substance use and sex. Double generalized linear models were performed to compare the dispersion of affective lability in the different groups.

RESULTS

Overall group differences in affective lability remained significant after adjusting for covariates (p = .001). BD-II had higher affective lability compared to SZ and BD-I (p = .004), with no significant differences between SZ and BD-I. There were no significant differences in the contributions of ALS-SF dimensions to the total affective lability or in dispersion of affective lability between the groups.

CONCLUSIONS

This study provides the construct of affective lability in psychosis spectrum disorders with more granular details that may have implications for research and clinical care. It demonstrates that despite overlap in core symptom profiles, BD-I is more similar to SZ than it is to BD-II concerning affective lability and the BD groups should consequently be studied apart. Further, affective lability appears to be characterized by fluctuations between depressive- and other affective states across different psychosis spectrum disorders, indicating that affective lability may be related to internalizing problems in these disorders. Finally, although the level varies between groups, affective lability is evenly spread and not driven by extremes across psychosis spectrum disorders and should be assessed irrespective of diagnosis.

Mood instability, depression, and anxiety in pregnancy and adverse neonatal outcomes

Background

Antenatal women experience an increased level of mood and anxiety symptoms, which have negative effects on mothers’ mental and physical health as well as the health of their newborns. The relation of maternal depression and anxiety in pregnancy with neonate outcomes is well-studied with inconsistent findings. However, the association between antenatal mood instability (MI) and neonatal outcomes has not been investigated even though antenatal women experience an elevated level of MI. We sought to address this gap and to contribute to the literature about pregnancy neonate outcomes by examining the relationship among antenatal MI, depression, and anxiety and neonatal outcomes.

Methods

A prospective cohort of women (n = 555) participated in this study at early pregnancy (T1, 17.4 ± 4.9 weeks) and late pregnancy (T2, 30.6 ± 2.7 weeks). The Edinburgh Postnatal Depression Scale (EPDS) was used to assess antenatal depressive symptoms, anxiety was measured by the EPDS anxiety subscale, and mood instability was measured by a visual analogue scale with five questions. These mood states together with stress, social support, as well as lifestyle were also examined in relation to neonatal outcomes using chi-square tests and logistic regression models.

Results

Mood instability, depression, and anxiety were unrelated to adverse neonatal outcomes. Only primiparous status was associated with small for gestational age after Bonferroni correction.

Conclusions

We report no associations between antenatal mood symptoms including MI, depression, and anxiety and neonatal outcomes. More studies are required to further explore the relationship between antenatal mood instability, depression, and anxiety and neonatal outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-04021-y.

Development and Validation of the Mood Instability Questionnaire-Trait (MIQ-T)

Background and objectives: Mood instability (MI) is a stable trait associated with psychiatric disorders, yet there is a lack of tools to measure MI. The purpose of this study was to develop and validate the Mood Instability Questionnaire-Trait (MIQ-T) to evaluate MI in mood disorder patients. Material and methods: Items were taken from various established questionnaires to create an initial list of MIQ-T questions. Data from 309 psychiatric patients (n = 309; 62 major depressive disorder, 58 bipolar I disorder, and 189 bipolar II disorder) were gathered from their medical records and were utilized in an exploratory factor analysis to clarify the underlying components of MI. Then, anonymous survey data from 288 individuals from the general population were included in the analysis as a comparison group. Associations between MIQ-T and other previously validated clinical instruments for mood disorders were examined to test external validity. Results: The exploratory factor analysis demonstrated that the five-factor structure (Lability, Upward Tendency, Downward Tendency, Childhood Instability, and Seasonality) of 59 items was the most appropriate with clear, cohesive features. MIQ-T exhibited high internal consistency (α = 0.96) and moderate to strong correlations with other previously validated clinical instruments, which were consistent with theoretical predictions, providing evidence of criterion validity. Short forms were also created to address the high internal consistency value, which can indicate redundancy, and to increase the approachability of the measure. We found that the patients with bipolar II disorder had higher MIQ-T scores than the patients with bipolar I disorder or major depressive disorder and the comparison group. Conclusion: Together, these findings validate the newly developed MIQ-T as an instrument of mood instability. MIQ-T can be a potential research tool for mood disorder.

Explaining why childhood abuse is a risk factor for poorer clinical course in bipolar disorder: a path analysis of 923 people with bipolar I disorder

BACKGROUND

Childhood abuse is a risk factor for poorer illness course in bipolar disorder, but the reasons why are unclear. Trait-like features such as affective instability and impulsivity could be part of the explanation. We aimed to examine whether childhood abuse was associated with clinical features of bipolar disorder, and whether associations were mediated by affective instability or impulsivity.

METHODS

We analysed data from 923 people with bipolar I disorder recruited by the Bipolar Disorder Research Network. Adjusted associations between childhood abuse, affective instability and impulsivity and eight clinical variables were analysed. A path analysis examined the direct and indirect links between childhood abuse and clinical features with affective instability and impulsivity as mediators.

RESULTS

Affective instability significantly mediated the association between childhood abuse and earlier age of onset [effect estimate (θ)/standard error (SE): 2.49], number of depressive (θ/SE: 2.08) and manic episodes/illness year (θ/SE: 1.32), anxiety disorders (θ/SE: 1.98) and rapid cycling (θ/SE: 2.25). Impulsivity significantly mediated the association between childhood abuse and manic episodes/illness year (θ/SE: 1.79), anxiety disorders (θ/SE: 1.59), rapid cycling (θ/SE: 1.809), suicidal behaviour (θ/SE: 2.12) and substance misuse (θ/SE: 3.09). Measures of path analysis fit indicated an excellent fit to the data.

CONCLUSIONS

Affective instability and impulsivity are likely part of the mechanism of why childhood abuse increases risk of poorer clinical course in bipolar disorder, with each showing some selectivity in pathways. They are potential novel targets for intervention to improve outcome in bipolar disorder.

Suicidal ideation and affect lability in single and multiple suicidal attempters with Major Depressive Disorder: An exploratory network analysis

INTRODUCTION

A better understanding of the specific contribution of risk factors to suicidal behavior could arise from analyzing suicidal ideation (SI) in clinical samples, and comparing single versus multiple suicide attempters through contemporary methods allowing complex and dynamical analyses of multiple and simultaneously interacting suicide risk factors.

METHOD

We explored associations among suicidal ideation (SI), affect lability and other suicide risk factors in 323 suicidal attempters diagnosed with major depressive disorder (MDD). We analyzed the network structure and centrality of the total sample, and compared single versus multiple attempters and subjects with low and high suicidal ideation.

RESULTS

SI was connected with anxiety (trait) and hopelessness. Central nodes for global and specific groups were affect lability (from anxiety to depression), anxiety as a trait, and harm avoidance. We observed some specific differences between clinical profiles of repeaters and non-repeaters and significant network density between high and low SI.

LIMITATIONS

Because our cross-sectional design, we cannot establish casual relationships among variables. We only examined associations at group level but not at single subject level.

CONCLUSIONS

Affect lability (mainly the shifts from anxiety to depression) and trait anxiety were central in each estimated network. These symptoms might be suitable targets for early detecting and treating suicidal patients.

Affective lability across psychosis spectrum disorders

Background.

Despite apparent clinical remission, individuals with psychotic disorders often experience significant impairments across functional domains. Thus, there is a need to search beyond management of core symptoms to optimize treatment outcomes. Affective dysregulation is considered a risk factor for poor clinical and functional outcomes in many mental disorders, but research investigating such features in psychosis, particularly in schizophrenia, is limited. We aimed to investigate the level of affective lability (AL) in participants with schizophrenia- and bipolar spectrum disorders (n = 222) compared to healthy controls (n = 140), as well as clinical correlates of AL in the diagnostic groups.

Methods.

The Affective Lability Scale (ALS-SF) was used to measure total score of AL and subscores covering the domains of anxiety/depression, depression/elation, and anger. An analysis of covariance was performed to compare the ALS-SF total score between groups, correcting for potential confounders, as well as standard multiple regression analyses for diagnosis-specific investigations of the relationship between AL and demographic and clinical features.

Results.

Both the schizophrenia- and bipolar spectrum group had significantly higher ALS-SF total score compared to controls (p < 0.001), and no significant differences between the patient groups were found. In the schizophrenia group, current psychotic and depressive symptoms were significantly and independently associated with AL (p = 0.012 and p = 0.024, respectively).

Conclusions.

The findings indicate that AL is elevated in psychotic disorders and that it transcends diagnostic boundaries. Further research into the causal relationship between psychotic and affective symptoms and AL, as well as its role as a potential therapeutic target in psychosis spectrum disorders, is warranted.

Mood instability across the perinatal period: A cross-sectional and longitudinal study

BACKGROUND

As a trans-diagnostic concept, mood instability (MI) is significantly linked to a variety of psychiatric disorders in general and clinical samples. However, there is limited research on perinatal MI, even though perinatal women experience an elevated level of MI. In this study, we examined the relationship between perinatal MI and its risk factors, the association between antenatal MI and postpartum depression (PPD), and the trajectory of perinatal MI.

METHODS

A total of 648 women participated in this longitudinal study at three points: T1 (17.4 ± 4.9 weeks pregnant), T2 (30.6 ± 2.7 weeks pregnant), and T3 (4.2 ± 2.1 weeks postpartum). Linear regression was used to examine MI and its risk factors, hierarchical multiple regression was utilized to investigate the relationship between antenatal MI and PPD, and a linear mixed model was employed to examine the trajectory of perinatal MI over T1-T3.

RESULTS

Perinatal depression, history of depression, and stress at T1, T2, and T3, and labor/birth complications at T3 were significant risk factors for MI. MI at T1 was associated with PPD after controlling for important confounders at T1. The trajectory of perinatal MI had a declined trend from early pregnancy to postpartum.

LIMITATIONS

The participants were predominantly Caucasian and with post-secondary education, which may limit the generalization of our findings. A lack of research on perinatal MI limited our ability to discuss the topic in relation to existing literature.

CONCLUSIONS

This study expands our understanding of MI in perinatal women, and indicates that more research is needed.

Effectiveness of iconic therapy for the reduction of borderline personality disorder symptoms among suicidal youth: study protocol for a randomised controlled trial

BACKGROUND

Borderline personality disorder (BPD) is associated with an intensive use of mental health services, even in the absence of a full diagnosis. Early symptom detection and intervention may help alleviate adverse long-term outcomes. Iconic Therapy is an innovative manual-driven psychotherapy that treats BPD symptoms in a specific and intensive manner. Preliminary results are promising and the indication is that Iconic Therapy may be effective in reducing BPD symptoms. The aim of this study is to assess how effective Iconic Therapy is compared to Structured Support Therapy in a real clinical setting.

METHODS/DESIGN

Our study will be a controlled 12-month pragmatic, two-armed RCT. A total of 72 young people (15 to 25 years old) with suicidal ideation/self-injuring behaviour and BPD traits and symptoms will participate in the study. The subjects will be randomised into two groups: Iconic Therapy or Structured Support Therapy. The participants will be assigned to either group on a 1:1 basis. Both the Iconic Therapy and the Structured Support Therapy programmes consist of 11 weekly sessions delivered by two trained psychologists in a group format of between 8 to 12 outpatients. The primary outcome will be measured by the change in symptom severity. Secondary outcomes include changes in suicidal ideation/ behaviour, non-suicidal self-injury, maladjustment to daily life and cost-effective analysis. The primary outcome will be a decrease in the severity of BPD symptoms as assessed by the Borderline Symptom List (BSL-23). For the clinical evaluation, three study assessments will take place: at baseline, after treatment and at 12-month follow-up. We hypothesise that patients attending the Iconic Therapy group will show a significantly higher reduction in symptoms than those in the Structured Support Therapy group. Data will be analysed using generalised estimating equation (GEE) models.

DISCUSSION

By responding to the need for briefer and more comprehensive therapies for BPD, we foresee that Iconic Therapy may provide an alternative treatment whose specific therapeutic principles, visually represented on icons, will overcome classical Structured Support Therapy at reducing BPD symptoms.

TRIAL REGISTRATION

NCT03011190.

Attention-deficit/hyperactivity disorder symptoms and happiness among adults in the general population

Despite an increasing focus on the role of mood and emotions in attention-deficit/hyperactivity disorder (ADHD), as yet, there has been comparatively little research on positive emotions. To address this research gap, the current study examined the association between ADHD symptoms and happiness using data from the 2007 Adult Psychiatric Morbidity Survey. The analytic sample comprised 7274 adults aged 18 and above residing in private households in England. Information was collected on ADHD symptoms using the Adult ADHD Self-Report Scale (ASRS) Screener, while happiness was assessed with a single (3-point) measure. Multivariable ordinal logistic regression analysis and a mediation analysis were performed to examine associations. Greater ADHD symptom severity was associated with higher odds for feeling less happy. Mood instability (percentage mediated 37.1%), anxiety disorder (35.6%) and depression (29.9%) were all important mediators of the association between ADHD and happiness. Given that happiness has been linked to a number of beneficial outcomes, the results of this study highlight the importance of diagnosing ADHD in adults and also of screening for and treating any comorbid psychiatric disorders in these individuals.

Suicidality in People With Obsessive-Compulsive Symptoms or Personality Traits

Objective: Obsessive-Compulsive Disorder (OCD) and Obsessive-Compulsive Personality Disorder (OCPD) have been reported to be associated with mood instability (MI), depression and suicide-related outcomes. We examined whether obsessive-compulsive symptoms and personality traits as well as obsessional thoughts of death, are associated with suicidal thoughts, non-suicidal self-injury and attempted suicide. Methods: We used data from 7,839 people from the 2000 British Adult Psychiatric Morbidity Survey that elicited symptoms of OCD with a computerized version of the Clinical Interview Schedule-Revised (CIS-R) and traits of OCPD with a self-completed version of the SCID-II. We created a series of logistic regression models, first entering only OCD symptoms and OCPD traits in separate models, to which depression and mood instability (MI) were added. We also examined the relation of obsessional thoughts about death with self-harm in a network analysis model that included the main symptoms of mood instability and depression. Results: OCD symptoms were associated with suicidal thoughts (OR: 1.23, 95% CI: 1.14-1.32), and suicide attempts (OR: 1.13, 95% CI: 1.04-1.24) in the fully-adjusted model. OCPD traits were associated with suicidal thoughts (OR: 1.14, 95% CI: 1.10-1.19), non-suicidal self-injury (OR: 1.14 95% CI: 1.03-1.26), and suicide attempts (OR: 1.09; 1.01-1.17). Depression and MI were both associated with all three suicide-related outcomes. In the network analysis, MI was the most prominent correlate of suicide-related outcomes, being associated with suicidal ideas (partial r = 0.15) and non-suicidal self-injury (partial r = 0.07). Limitation: This was a cross-sectional study that used a single-item measure for mood instability. Conclusions: Obsessive-compulsive symptoms and personality traits are related to suicide-related outcomes independently of depressive symptoms and mood instability. This relationship is not accounted for by obsessional thoughts of death alone.

Sleep problems and suicide associated with mood instability in the Adult Psychiatric Morbidity Survey, 2007

OBJECTIVE

Mood instability is common in the general population. Mood instability is a precursor to mental illness and associated with a range of negative health outcomes. Sleep disturbance appears to be closely linked with mood instability. This study assesses the association between mood instability and sleep disturbance and the link with suicidal ideation and behaviour in a general population sample in England.

METHOD

The Adult Psychiatric Morbidity Survey, 2007 collected detailed information about mental health symptoms and correlates in a representative sample of adult household residents living in England ( n = 7303). Mood instability was assessed using the Structured Clinical Interview for DSM-IV Axis-II. Sleep problems were defined as sleeping more than usual or less than usual during the past month. Other dependent variables included medication use and suicidal ideation and behaviour (response rate 57%). Generalized linear modelling was used to estimate the prevalence of mood instability and sleep problems. Logistic regression was used to estimate odds ratios. All estimates were weighted.

RESULTS

The prevalence of mood instability was 14.7% (95% confidence interval [13.6%, 15.7%]). Sleep problems occurred in 69.8% (95% confidence interval: [66.6%, 73.1%]) of those with mood instability versus 37.6% (95% confidence interval: [36.2%, 39.1%]) of those without mood instability. The use of sedating and non-sedating medications did not influence the association. Sleep problems were significantly associated with suicidal ideation and behaviour even after adjusting for mood instability.

CONCLUSION

Sleep problems are highly prevalent in the general population, particularly among those with mood instability. Sleep problems are strongly associated with suicidal ideation and behaviour. Treatments that target risk and maintenance factors that transcend diagnostic boundaries, such as therapies that target sleep disturbance, may be particularly valuable for preventing and addressing complications related to mood instability such as suicide.

Affect lability predicts occurrence of suicidal ideation in bipolar patients: a two-year prospective study

OBJECTIVE

The aim of our study was to investigate, in bipolar patients, whether affect lability was associated with suicidal ideation incidence during 2-year follow-up, and which subtype of affect lability was associated with suicidal ideation.

METHOD

A total of 319 euthymic or mildly depressed bipolar outpatients recruited in the French FondaMental Advanced Centres of Expertise for Bipolar Disorder were divided into two subgroups according to the occurrence of suicidal ideation during a 2-year follow-up. Affect lability was assessed by the French version of the Affect Lability Scale.

RESULTS

Bipolar patients with high affect lability were more likely to report suicidal ideation during follow-up, even after adjustment for age, study level, rapid cycling, current depression level, anxiety disorder, and lifetime history SA (OR = 2.47; 95% CI [1.15-5.30], P = 0.01). The risk of suicidal ideation increased with the level of affect lability. More specifically, the propensity to switch from neutral to elation affect, from anxious to depressive affect (or inversely), and from neutral to anger affect predicted suicidal ideation.

CONCLUSION

Reducing affective lability could become a new therapeutic target of suicidal prevention in bipolar disorder.

Mood instability and impulsivity as trait predictors of suicidal thoughts

OBJECTIVES

Impulsivity, the tendency to act quickly without adequate planning or concern for consequences, is a commonly cited risk factor for suicidal thoughts and behaviour. There are many definitions of impulsivity and how it relates to suicidality is not well understood. Mood instability, which describes frequent fluctuations of mood over time, is a concept related to impulsivity that may help explain this relationship. The purpose of this study was to determine whether impulsivity could predict suicidal thoughts after controlling for mood instability.

METHODS

This study utilized longitudinal data from the 2000 Adult Psychiatric Morbidity Survey (N = 2,406). There was a time interval of 18 months between the two waves of the study. Trait impulsivity and mood instability were measured with the Structured Clinical Interview for DSM-IV Axis II Personality Disorders. Logistic regression analyses were used to evaluate baseline impulsivity and mood instability as predictors of future suicidal thoughts.

RESULTS

Impulsivity significantly predicted the presence of suicidal thoughts, but this effect became non-significant with mood instability included in the same model.

CONCLUSIONS

Impulsivity may be a redundant concept when predicting future suicidal thoughts if mood instability is considered. The significance is that research and therapy focusing on mood instability along with impulsivity may be useful in treating the suicidal patient.

PRACTITIONER POINTS

Mood instability and impulsivity both predict future suicidal thoughts. Impulsivity does not predict suicidal thoughts after controlling for mood instability. Assessing and treating mood instability could be important aspects of suicide prevention and risk management.

Mood Instability and Irritability as Core Symptoms of Major Depression: An Exploration Using Rasch Analysis

BACKGROUND

Mood instability (MI) and irritability are related to depression but are not considered core symptoms. Instruments typically code clusters of symptoms that are used to define syndromic depression, but the place of MI and irritability has been under-investigated. Whether they are core symptoms can be examined using Rasch analysis.

METHOD

We used the UK Psychiatric Morbidity Survey 2000 data (n = 8,338) to determine whether the nine ICD/DSM symptoms, plus MI and irritability, constitute a valid depression scale. Rasch analysis was used, a method concerned with ensuring that items constitute a robust scale and tests whether the count of symptoms reflects an underlying interval-level measure. Two random samples of 500 were drawn, serving as calibration and validation samples. As part of the analysis, we examined whether the candidate symptoms were unidimensional, followed a Guttman pattern, were locally independent, invariant with respect to age and sex, and reliably distinguished different levels of depression severity.

RESULTS

A subset of five symptoms (sad, no interest, sleep, cognition, suicidal ideas) together with mood instability and irritability satisfactorily fits the Rasch model. However, these seven symptoms do not separate clinically depressed persons from the rest of the population with adequate reliability (Cronbach α = 0.58; Person Separation Index = 0.35), but could serve as a basis for scale development. Likewise, the original nine DSM depression symptoms failed to achieve satisfactory reliability (Cronbach α = 0.67; Person Separation Index = 0.51).

LIMITATIONS

The time frame over which symptoms were experienced varied, and some required recall over the last year. Symptoms other than those examined here might also be core depression symptoms.

CONCLUSION

Mood instability and irritability are candidate core symptoms of the depressive syndrome and should be part of its clinical assessment.

Mood instability: significance, definition and measurement

Mood instability is common, and an important feature of several psychiatric disorders. We discuss the definition and measurement of mood instability, and review its prevalence, characteristics, neurobiological correlates and clinical implications. We suggest that mood instability has underappreciated transdiagnostic potential as an investigational and therapeutic target.

Mood instability as a precursor to depressive illness: A prospective and mediational analysis

OBJECTIVE

Mood instability levels are high in depression, but temporal precedence and potential mechanisms are unknown. Hypotheses tested were as follows: (1) mood instability is associated with depression cross-sectionally, (2) mood instability predicts new onset and maintenance of depression prospectively and (3) the mood instability and depression link are mediated by sleep problems, alcohol abuse and life events.

METHOD

Data from the National Psychiatric Morbidity Survey 2000 at baseline (N = 8580) and 18-month follow-up (N = 2413) were used. Regression modeling controlling for socio-demographic factors, anxiety and hypomanic mood was conducted. Multiple mediational analyses were used to test our conceptual path model.

RESULTS

Mood instability was associated with depression cross-sectionally (odds ratio: 5.28; 95% confidence interval: [3.67, 7.59]; p < 0.001) and predicted depression inception (odds ratio: 2.43; 95% confidence interval: [1.03-5.76]; p = 0.042) after controlling for important confounders. Mood instability did not predict maintenance of depression. Sleep difficulties and severe problems with close friends and family significantly mediated the link between mood instability and new onset depression (23.05% and 6.19% of the link, respectively). Alcohol abuse and divorce were not important mediators in the model.

CONCLUSION

Mood instability is a precursor of a depressive episode, predicting its onset. Difficulties in sleep are a significant part of the pathway. Interventions targeting mood instability and sleep problems have the potential to reduce the risk of depression.

Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes

OBJECTIVES

Mood instability is a clinically important phenomenon but has received relatively little research attention. The objective of this study was to assess the impact of mood instability on clinical outcomes in a large sample of people receiving secondary mental healthcare.

DESIGN

Observational study using an anonymised electronic health record case register.

SETTING

South London and Maudsley NHS Trust (SLaM), a large provider of inpatient and community mental healthcare in the UK.

PARTICIPANTS

27,704 adults presenting to SLaM between April 2006 and March 2013 with a psychotic, affective or personality disorder.

EXPOSURE

The presence of mood instability within 1 month of presentation, identified using natural language processing (NLP).

MAIN OUTCOME MEASURES

The number of days spent in hospital, frequency of hospital admission, compulsory hospital admission and prescription of antipsychotics or non-antipsychotic mood stabilisers over a 5-year follow-up period.

RESULTS

Mood instability was documented in 12.1% of people presenting to mental healthcare services. It was most frequently documented in people with bipolar disorder (22.6%), but was common in people with personality disorder (17.8%) and schizophrenia (15.5%). It was associated with a greater number of days spent in hospital (β coefficient 18.5, 95% CI 12.1 to 24.8), greater frequency of hospitalisation (incidence rate ratio 1.95, 1.75 to 2.17), greater likelihood of compulsory admission (OR 2.73, 2.34 to 3.19) and an increased likelihood of prescription of antipsychotics (2.03, 1.75 to 2.35) or non-antipsychotic mood stabilisers (2.07, 1.77 to 2.41).

CONCLUSIONS

Mood instability occurs in a wide range of mental disorders and is not limited to affective disorders. It is generally associated with relatively poor clinical outcomes. These findings suggest that clinicians should screen for mood instability across all common mental health disorders. The data also suggest that targeted interventions for mood instability may be useful in patients who do not have a formal affective disorder.

Suicidality and its relationship with depression, alcohol disorders and childhood experiences of violence: results from the ESEMeD study

BACKGROUND

Suicidality constitutes a major health concern in many countries. The aim of the present paper was to analyse 10 of its risk factors and their interdependence.

METHODS

Data on suicidality, mental disorders and experience of childhood violence was collected from 8796 respondents in the European Study of the Epidemiology of Mental Disorders (ESEMeD). The CIDI was used to assess mental disorders. Individuals were randomly divided into two subgroups. In one, a Graphical Markov model to predict suicidality was constructed, in the second, predictors were cross-validated.

RESULTS

Lifetime suicidality was predicted mainly by lifetime depression and early experiences of violence, with a pseudo R-square of 12.8%. In addition, alcohol disorders predicted suicidality, but played a minor role compared with the other risk factors in this sample.

CONCLUSION

In addition to depression, early experience of violence constitutes an important risk factor of suicidality.

LIMITATIONS

This is a cross-sectional and retrospective study assessing risk factors for suicidality, not for suicide itself.

Neurobiological and behavioural studies of affective instability in clinical populations: a systematic review

OBJECTIVES

To evaluate the neurobiological, psychophysical and behavioural measures of affective instability in clinical populations.

DATA SOURCES

A range of medical and psychological science electronic databases were searched (including MEDLINE, EMBASE, and PsycINFO). Hand searching and reference checking are also included.

REVIEW METHODS

Reviews, systematic reviews, experimental and cross-sectional studies, providing affective instability in neurobiological and behavioural measurements in clinical populations. Studies were selected, data were extracted and quality was appraised.

RESULTS

Twenty-nine studies were included, 6 of which were review studies (one a meta-analysis) and 23 of which were primary studies, across a wide variety of disorders including ADHD, bipolar affective disorder, schizophrenia, severe mood dysregulation, major depression, and borderline personality disorder.

CONCLUSIONS

The bulk of the studies converge on the role of the amygdala, particularly in borderline personality disorders, and how it connects with other areas of the brain. Future research needs to extend these findings across diagnoses and development.

The Relationship between Mood Instability and Suicidal Thoughts

The objective of this study was to determine whether affective instability predicts suicidal thoughts. Data from a Dutch panel study (N = 1686) was used. Affective instability was assessed with 7 items representing suddenly shifting moods. Suicidal thoughts were assessed by the occurrence of suicidal thoughts in the past week. Negative affect was indexed by anxious, depressed and angry moods extracted by factor analysis. Odds ratios using logistic regression modeling were calculated, adjusting for clinical and demographic variables. The study found that both males (OR: 1.14; 95% CI: 1.02-1.28) and females (OR: 1.11; 95% CI: 1.00-1.23) were more likely to experience suicidal thinking with higher affective instability. Affective instability and negative affect independently predict suicidal thoughts. Affective instability requires more attention in the assessment of suicide risk.

Mood instability and psychosis: analyses of British national survey data

BACKGROUND

We used British national survey data to test specific hypotheses that mood instability (1) is associated with psychosis and individual psychotic phenomena, (2) predicts the later emergence of auditory hallucinations and paranoid ideation, and (3) mediates the link between child sexual abuse and psychosis.

METHODS

We analyzed data from the 2000 and 2007 UK national surveys of psychiatric morbidity (N = 8580 and 7403, respectively). The 2000 survey included an 18-month follow-up of a subsample (N = 2406). Mood instability was assessed from the Structured Clinical Interview for DSM-IV Axis II (SCID-II) questionnaire. Our dependent variables comprised auditory hallucinations, paranoid ideation, the presence of psychosis overall, and a 15-item paranoia scale.

RESULTS

Mood instability was strongly associated in cross-sectional analyses with psychosis (2000: OR: 7.5; 95% CI: I 4.1-13.8; 2007: OR: 21.4; CI: 9.7-41.2), paranoid ideation (2000: OR: 4.7; CI: 4.1-5.4; 2007: OR: 5.7; CI: 4.9-6.7), auditory hallucinations (2000: OR: 3.4; CI: 2.6-4.4; 2007: OR 3.5; CI: 2.7-4.7), and paranoia total score (2000: Coefficient: 3.6; CI: 3.3-3.9), remaining so after adjustment for current mood state. Baseline mood instability significantly predicted 18-month inceptions of paranoid ideation (OR: 2.3; CI: 1.6-3.3) and of auditory hallucinations (OR: 2.6; CI: 1.5-4.4). Finally, it mediated a third of the total association of child sexual abuse with psychosis and persecutory ideation and a quarter of that with auditory hallucinations.

CONCLUSIONS

Mood instability is a prominent feature of psychotic experience and may have a role in its genesis. Targeting mood instability could lead to innovative treatments for psychosis.

The role of stress sensitization in progression of posttraumatic distress following deployment

PURPOSE

Military personnel exposed to combat are at risk for experiencing post-traumatic distress that can progress over time following deployment. We hypothesized that progression of post-traumatic distress may be related to enhanced susceptibility to post-deployment stressors. This study aimed at examining the concept of stress sensitization prospectively in a sample of Dutch military personnel deployed in support of the conflicts in Afghanistan.

METHOD

In a cohort of soldiers (N = 814), symptoms of post-traumatic stress disorder (PTSD) were assessed before deployment as well as 2, 7, 14, and 26 months (N = 433; 53 %) after their return. Data were analyzed using latent growth modeling. Using multiple group analysis, we examined whether high combat stress exposure during deployment moderated the relation between post-deployment stressors and linear change in post-traumatic distress after deployment.

RESULTS

A higher baseline level of post-traumatic distress was associated with more early life stressors (standardized regression coefficient = 0.30, p < 0.001). In addition, a stronger increase in posttraumatic distress during deployment was associated with more deployment stressors (standardized coefficient = 0.21, p < 0.001). A steeper linear increase in posttraumatic distress post-deployment (from 2 to 26 months) was predicted by more post-deployment stressors (standardized coefficient = 0.29, p < 0.001) in high combat stress exposed soldiers, but not in a less combat stress exposed group. The group difference in the predictive effect of post-deployment stressors on progression of post-traumatic distress was significant (χ²(1) = 7.85, p = 0.005).

CONCLUSIONS

Progression of post-traumatic distress following combat exposure may be related to sensitization to the effects of post-deployment stressors during the first year following return from deployment.

The relationship between mood instability and depression: implications for studying and treating depression

BACKGROUND

Most individuals with depressed mood report mood fluctuations (Mood Instability) within hours or days. This is not recognized in diagnostic criteria or standard rating scales for depression.

HYPOTHESIS

That mood instability is a distinct component of the development of depression that has been omitted from criteria for depression because of reliance on retrospective recall and structured interviews. The inclusion of Mood Instability would enhance research into causes and treatment of depression.

STUDIES

We examined three datasets that used retrospective and prospective measures of depressed symptom ratings and mood instability to determine the relationship between the two. Study 1 used data from the 1991 UK Health and Lifestyle Surveys (HALS). Studies 2 and 3 used clinical samples. The scales used to assess mood instability were the mood instability factor from the Eysenck Personality Inventory Neuroticism Scale, the Affective Lability Scale (ALS), and the Visual Analogue Depression Scale (VAS). The depression scales (depressive symptoms) were the General Health Questionnaire (GHQ) depression factor, the Beck Depression Inventory IA (BDI) and the mean from the Visual Analogue Depression Scale (VAS). We used partial correlation analysis to assess the association between mood instability and depression and exploratory factor analysis to determine the factor structure of items pooled from the mood instability and depression scales from studies 1 and 2.

RESULTS

Mood Instability was found to be moderately associated with depressive symptoms. The Pearson's r-values ranged from 0.49 to 0.57. The correlation was lower when recalling mood in the past. The factor analytic solution supported the hypothesis that MI and depressive symptoms are related but distinct constructs.

CONCLUSIONS

Reliance exclusively on the retrospective assessment of depressive symptoms has occluded the widespread occurrence of mood instability. Including Mood Instability in diagnostic and assessment criteria would enhance causal and treatment research in depression.