The Relationship between Mood Instability and Suicidal Thoughts

Clinical features of individuals with schizotypal personality disorder with and without suicidal ideation

This study compared demographic and clinical features in a sample of 384 participants: healthy controls (HC; n = 166) and individuals with schizotypal personality disorder (SPD) with (n = 50) and without (n = 168) suicidal ideation (SI) to examine specific risk factors for suicidality in SPD. Compared to the non-SI group, the SI group showed significantly greater severity of depression, aggression, impulsivity, affective lability, schizotypal features, poorer social adjustment, and had fewer social contacts. Individuals in the SI group were also more likely to have a history of a suicide attempt and comorbid borderline personality disorder in comparison to the non-SI group. Logistic regression analysis indicated that severity of depression and the number of social contacts drove the difference between the SI and non-SI groups. Compared with both SPD subgroups, the HC group was significantly less depressed, aggressive, impulsive, affectively labile, had fewer schizotypal features, was better socially adjusted, and had more social contacts. This study indicates that overall, the SI group is a more severely impaired group of individuals with SPD compared to the non-SI group. Better educating medical professionals about the diagnosis and management of SPD and its associations with suicidality is warranted.

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.

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 moderating role of sexual minority status in the associations of the experience and tolerance of shame-related emotions to suicide risk

OBJECTIVE

This study examined the associations of the experience and tolerance of shame-related emotions to suicide risk, as well as the moderating role of sexual minority status.

METHODS

Community adults (N = 360) were recruited via MTurk and completed self-report questionnaires. Hierarchical regression analyses examined the main and interactive associations of sexual minority status and shame-related variables to suicide risk.

RESULTS

Results revealed significant positive associations between self-disgust and suicide risk for sexual minority and heterosexual participants, although the magnitude was greater for sexual minority participants. Additionally, tolerance of shame was significantly negatively related to suicide risk only among sexual minority participants. Finally, exploratory analyses examining the three-way interaction of self-disgust, shame tolerance, and sexual minority status revealed a significant negative association between shame tolerance and suicide risk only among sexual minority participants with high levels of self-disgust.

CONCLUSION

Results highlight the relevance of shame-related experiences to suicide risk among sexual minorities.

Exploration of mood spectrum symptoms during a major depressive episode: The impact of contrapolarity-Results from a transdiagnostic cluster analysis on an Italian sample of unipolar and bipolar patients

Background

Subthreshold hypomania during a major depressive episode challenges the bipolar-unipolar dichotomy. In our study we employed a cross-diagnostic cluster analysis - to identify distinct subgroups within a cohort of depressed patients.

Methods

A k-means cluster analysis— based on the domain scores of the Mood Spectrum Self-Report (MOODS-SR) questionnaire—was performed on a data set of 300 adults with either bipolar or unipolar depression. After identifying groups, between-clusters comparisons were conducted on MOODS-SR domains and factors and on a set of sociodemographic, clinical and psychometric variables.

Results

Three clusters were identified: one with intermediate depressive and poor manic symptomatology (Mild), one with severe depressive and poor manic symptomatology (Moderate), and a third one with severe depressive and intermediate manic symptomatology (Mixed). Across the clusters, bipolar patients were significantly less represented in the Mild one, while the DSM-5 “Mixed features” specifier did not differentiate the groups. When compared to the other patients, those of Mixed cluster exhibited a stronger association with most of the illness-severity, quality of life, and outcomes measures considered. After performing pairwise comparisons significant differences between “Mixed” and “Moderate” clusters were restricted to: current and disease-onset age, psychotic ideation, suicidal attempts, hospitalization numbers, impulsivity levels and comorbidity for Cluster B personality disorder.

Conclusions

In the present study, a clustering approach based on a spectrum exploration of mood symptomatology led to the identification of three transdiagnostic groups of patients. Consistent with our hypothesis, the magnitude of subthreshold (hypo)manic symptoms was related to a greater clinical severity, regardless of the main categorical diagnosis.

Socio-demographic, economic and mental health problems were risk factors for suicidal ideation among Kenyan students aged 15 plus

BACKGROUND

About a third of youth with suicidal ideation develop suicidal plans and about 60% of youth with suicidal plans make suicidal attempts. This study aimed to study different types of suicidal ideation and the risk factors in Kenyan youth.

METHODS

We studied a total of 9742 high school, college and university students using following self-administered instruments: - a researcher design socio-demographic questionnaire, Psychiatric Diagnostic Screening Questionnaire (PDSQ) to document psychiatric disorders and various types of suicidal ideas in previous two weeks, Washington Early Recognition Center Affectivity and Psychosis tool to assess stress, affectivity and psychosis, Wealth index questionnaire to document economic indicators based on household items for the families of the students. We used descriptive statistics, univariate analysis, bivariate logistic regression analysis and variables with a p-value of less than <.05 were entered into generalized linear models using logit links to identify independent predictors.

RESULTS

The overall prevalence of different types of suicidal ideation was (22.6%), major depression was found in 20.0%, affectivity, psychosis and stress was found in 10.4%, 8.7% and 26.0% respectively. Female gender, major depression, stress, affectivity and psychosis and being in high school were significant (p < 0.05) predictors of suicidal ideation.

LIMITATIONS

This was a cross sectional study that focused only on suicidal ideas and associated economic factors and mental health disorders. It did not study suicidal behavior.

CONCLUSION

Future studies are needed to study the progression from suicidal ideas to suicidal attempts and the factors associated with that progression.

Trajectory Analysis of Suicidal Ideation in Spanish College Students Using Ecological Momentary Assessment

Introduction

Suicide is a preventable death in young people. It is well known that suicide behavior is a multicausal phenomenon. However, suicidal ideation (SI) commonly underlies suicide, and Ecological Momentary Assessment (EMA) can help us to better characterize it and its risk and protective factors in the short term. We aimed, first, to investigate the estimated prevalence and trajectories of SI in a community sample of Spanish college students using an EMA methodology and, second, explore the associations between risk and protective factors and SI categorized as moderate or low.

Materials and Methods

A total of 737 participants followed the EMA during a period of 6 months. We estimated the prevalence and trajectories of SI and the associations between depressive symptoms, positive and negative affect, thwarted belongingness, perceived burdensomeness, cognitive reappraisal, emotional suppression, and purpose in life with the MEmind smartphone App. SI was assessed 14 times during this period.

Results

Twenty-eight participants referred to SI at least once in longitudinal assessments. We found a lack of curvature and, thus, a relatively stable trajectory of SI. Two groups of latent dimensions were observed related to risk and protective factors of SI. One latent dimension of the risk factors (higher levels of thwarted belongingness, perceived burdensomeness, depressive symptoms, negative affect, and emotional suppression) best represented the group with moderate levels of SI, and a second latent dimension of protective variables (positive affect, cognitive reappraisal, and purpose in life) best represented the group with lower levels of SI.

Discussion

These findings may indicate that students with a sense of having a life worth living, in addition to having the ability to reevaluate their negative beliefs, are less likely to experience high levels of SI. Therefore, purpose in life would be a protective factor against the presence of SI.

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.

Instability of Suicidal Ideation in Patients Hospitalized for Depression: An Exploratory Study Using Smartphone Ecological Momentary Assessment

This study used ecological momentary assessment (EMA) to explore the correlates of suicidal ideation (SI) instability in patients hospitalized for depression and SI. Thirty-nine adult inpatients were given smartphones with visual analogue scales to rate current depressed mood, anger/irritability, feeling socially connected, and SI three times a day throughout hospitalization. Affective Lability Scales (ALS) were also completed at baseline. SI instability was correlated with SI intensity, depressed mood instability, and social connection instability. Social connection instability was not associated with SI instability after controlling for depressed mood instability. ALS scores were not associated with EMA-derived SI instability. Participants with multiple past suicide attempts experienced greater SI instability. More research examining the clinical significance of SI instability is warranted.

Migraine and Mood in Children

Migraine is one of the most prevalent headache disorders in children and negatively influences their quality of life. Physical, social, and school functioning are negatively affected. Mood changes are common in migraineurs and may happen before, during, or after a migraine headache. Children with migraine are not exempt from mood swings. The majority of mood changes occur during the prodromal phase, manifesting as a psychobiological response, e.g., difficulty thinking, trouble concentrating, irritability, higher or lower energy, confusion, and depression. A bi-directional relationship between migraine and mood has been proposed, but mechanisms are not clear. Collectively, a maladaptive stress response has been suggested to explain the inability to balance homoeostatic changes when facing various stressors. Recognizing mood changes and monitoring mood patterns in children with migraine, for example, by various apps and so-called mood monitors, is valuable for better management. A multidisciplinary intervention has been recommended to reduce migraine disability, improve coping strategies, and reduce chronification risks in children with migraine. Pharmacological and non-pharmacological strategies are both available and effective. Biofeedback, relaxation, and cognitive-behavioral therapy yield positive outcomes in pediatric migraine. Developing healthy lifestyle habits (diet, exercise, sleep) also seems to improve migraine in this population.

A Mobile Health Intervention (LifeBuoy App) to Help Young People Manage Suicidal Thoughts: Protocol for a Mixed-Methods Randomized Controlled Trial

BACKGROUND

Self-help smartphone apps offer a new opportunity to address youth suicide prevention by improving access to support and by providing potentially high fidelity and cost-effective treatment. However, there have been very few smartphone apps providing evidence-based support for suicide prevention in this population. To address this gap, we developed the LifeBuoy app, a self-help smartphone app informed by dialectical behavior therapy (DBT), to help young people manage suicidal thoughts in their daily life.

OBJECTIVE

This study describes the protocol for a randomized controlled trial to evaluate the efficacy of the LifeBuoy app for reducing suicidal thoughts and behaviors, depression, anxiety, and psychological distress, and improving general mental well-being in young adults aged 18 to 25 years.

METHODS

This is a randomized controlled trial recruiting 378 young adults aged between 18 and 25 years and comparing the LifeBuoy app with a matched attention control (a placebo app with the same display but no DBT components). The primary outcome is suicidal thoughts measured by the Suicidal Ideation Attributes Scale (SIDAS). The secondary outcomes are suicidal behavior, depression, anxiety, psychological distress, and general mental well-being. The changes in the levels of insomnia, rumination, suicide cognitions, distress tolerance, loneliness, and help seeking before and after using the app are evaluated in this study. The study also addresses risk factors and responses to the intervention. A series of items assessing COVID-19 experiences is included in the trial to capture the potential impact of the pandemic on this study. Assessments will occur on the following three occasions: baseline, postintervention, and follow-up at 3 months postintervention. A qualitative interview about user experience with the LifeBuoy app will take place within 4 weeks of the final assessment. Using linear mixed models, the primary analysis will compare the changes in suicidal thoughts in the intervention condition relative to the control condition. To minimize risks, participants will receive a call from the team clinical psychologist by clicking a help button in the app or responding to an automated email sent by the system when they are assessed with elevated suicide risks at the baseline, postintervention, and 3-month follow-up surveys.

RESULTS

The trial recruitment started in May 2020. Data collection is currently ongoing.

CONCLUSIONS

This is the first trial examining the efficacy of a DBT-informed smartphone app delivered to community-living young adults reporting suicidal thoughts. This trial will extend knowledge about the efficacy and acceptability of app-based support for suicidal thoughts in young people.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12619001671156; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378366.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/23655.

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.

Mood instability contributes to impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders

OBJECTIVES

The purpose of this study was to determine whether mood instability in people with anxiety disorders contributes to trait impulsivity, non-suicidal self-injury, and binge eating/purging.

METHODS

Data were analysed from a general population sample of 7,221 adults (M_age  = 51.0 years; 56.9% female). Logistic regression analyses with effect decompositions were used to establish the associations of five anxiety disorders (generalized anxiety disorder, social phobia, panic disorder, agoraphobia, and obsessive-compulsive disorder) with impulsivity, non-suicidal self-injury, and binge eating/purging, and then to determine the extent that adding mood instability to each model reduced these relationships.

RESULTS

Participants with an anxiety disorder were more likely to report impulsivity compared to participants without an anxiety disorder (ORs = 2.40-3.92, all p < .001), but these relationships reduced by 59-78% and became non-significant when mood instability was added to the models. Participants with an anxiety disorder were also more likely to report non-suicidal self-injury (ORs = 3.86-18.9, all p < .001) and binge eating/purging (ORs = 4.05-14.9, all p < .01); adding mood instability to the models reduced these relationships by at least 30%.

CONCLUSIONS

Mood instability and impulsivity are common in people with anxiety disorders. Anxiety disorders are associated with impulsivity largely because of the association between mood instability and impulsivity. Mood instability may contribute to non-suicidal self-injury and binge eating/purging in people with anxiety disorders. Treatments for mood instability in addition to standard anxiety disorder treatment may reduce impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders.

PRACTITIONER POINTS

Many patients with anxiety disorders experience mood instability, which is associated with impulsivity, non-suicidal self-injury, and binge eating/purging. Treating mood instability alongside anxiety may help reduce impulsivity, non-suicidal self-injury, and binge eating/purging in people with anxiety disorders.

Expressive suppression mediates the relation between disordered eating and suicidal ideation

OBJECTIVE

Although disordered eating is robustly associated with suicidal thoughts, it is not well understood why these conditions relate to each other. Emotion dysregulation is a shared risk factor for disordered eating and suicidal thoughts. Individuals with dysregulated emotions struggle to select appropriate strategies to modulate emotions and the strategies they use might explain some of the shared variances. Thus, we examined whether emotion regulation strategies mediated the relationship between disordered eating and suicidal ideation.

METHOD

Adult participants (N = 230) completed questionnaires on current disordered eating symptoms, emotion regulation strategies, and current suicidal ideation.

RESULTS

Disordered eating symptoms positively associated with suicidal ideation. In addition, expressive suppression mediated the relation between disordered eating symptoms and current suicidal ideation. No relation was found for cognitive reappraisal.

CONCLUSIONS

The use of expressive suppression as an emotion regulation strategy may be related to increased suicidal ideation in individuals who express concerns about eating.

Suicide Ideation in Adolescents Following Inpatient Hospitalization: Examination of Intensity and Lability Over 6 Months

Understanding suicide ideation (SI) in adolescents, especially during the high-risk time following hospitalization for a suicidal event, is a crucial component of improving risk assessment. Most studies rely on single assessments of SI, despite the potential for SI to vary considerably over time. This study examined how indices of SI intensity (mean values) and lability (mean squared successive difference values) over a 6-month period predict suicide attempts (SAs) and self-harm, as well as how they relate to psychosocial risk factors and affective functioning, in a sample of 103 adolescents hospitalized for a SA or significant SI. Across the sample, SI intensity, but not lability, was associated with SAs and nonsuicidal self-injury at 6-month follow-up. SI intensity performed similarly to single time point SI assessments, and its relations were not moderated by SI lability. SI intensity was also associated with borderline personality disorder criteria and a history of sexual abuse. In contrast, SI lability was associated with greater negative affect intensity and lability. These findings suggest that intensity of SI may confer more risk posthospitalization, and provide support for using these statistical methods to capture two distinct parameters of SI.

Variability in Suicidal Ideation is Associated with Affective Instability in Suicide Attempters with Borderline Personality Disorder

Objective: Suicidal ideation (SI) is heterogeneous with different patterns and risk factors. SI can be persistent with stable severity, but may also fluctuate rapidly over a short period of time. The latter pattern is likely associated with affective instability and may consist of activation of SI at times of stress, that then subside. Although affective instability is a hallmark of borderline personality disorder (BPD), little is known about SI variability in BPD. We hypothesized that SI variability would be associated with affective instability in BPD suicide attempters. Method: Sample included 38 females with BPD and history of suicidal behavior. SI was assessed over 1 week using ecological momentary assessment (EMA) at six epochs daily. The relationship between SI variability (i.e., change of SI from one epoch to another) and SI severity (i.e., average scores across epochs), and affective instability, assessed using the Affective Lability Scale (ALS), were examined. Possible confounding effects of depression severity and impulsiveness were tested. Results: Participants demonstrated high ALS scores and wide range of SI variability. ALS scores predicted SI variability, even after controlling for depression severity. Although ALS also predicted SI severity, this association was driven by depression severity. ALS did not correlate with impulsiveness score. Conclusions: Affective instability may predict SI variability in BPD suicide attempters independent of depression severity. This supports our model of suicidal subgroups with different constellations of clinical aspects and risk factors. Future studies could examine these associations in larger samples and different populations to determine implications for suicide prevention.

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.

Suicidal ideation and behavior in institutions of higher learning: A latent class analysis

Suicide is the second leading cause of death among undergraduate students, with an annual rate of 7.5 per 100,000. Suicidal behavior (SB) is complex and heterogeneous, which might be explained by there being multiple etiologies of SB. Data-driven identification of distinct at-risk subgroups among undergraduates would bolster this argument. We conducted a latent class analysis (LCA) on survey data from a large convenience sample of undergraduates to identify subgroups, and validated the resulting latent class model on a sample of graduate students. Data were collected through the Interactive Screening Program deployed by the American Foundation for Suicide Prevention. LCA identified 6 subgroups from the undergraduate sample (N = 5654). In the group with the most students reporting current suicidal thoughts (N = 623, 66% suicidal), 22.5% reported a prior suicide attempt, and 97.6% endorsed moderately severe or worse depressive symptoms. Notably, LCA identified a second at-risk group (N = 662, 27% suicidal), in which only 1.5% of respondents noted moderately severe or worse depressive symptoms. When graduate students (N = 1138) were classified using the model, a similar frequency distribution of groups was found. Finding multiple replicable groups at-risk for suicidal behavior, each with a distinct prevalence of risk factors, including a group of students who would not be classified as high risk with depression-based screening, is consistent with previous studies that identified multiple potential etiologies of SB.

Quality of life of depressed and suicidal patients seeking services from traditional and faith healers in rural Kenya

Background

In rural Kenya, traditional and faith healers provide an alternative pathway to health care, including mental health care. However, not much is known about the characteristics of the populations they serve. The purpose of this study was to determine the relationship between depression, suicidal ideation, and socio-demographic variables with Quality of Life (QoL) indicators in a sample seeking mental health services from traditional and faith healers in rural Kenya. Understanding QoL in this sample can help develop mental health policy and training to improve the well-being of this population.

Method

This was a cross-sectional epidemiological survey (n = 443) conducted over a period of 3 months among adult patients seeking care from traditional and faith healers in rural Kenya. Data were collected using the Beck Depression Inventory II (BDI-II), Beck Scale for Suicide Ideation (BSS) and WHO Quality of Life Survey- BREF (WHOQOL-BREF), and analyzed using correlation analyses, parametric tests, and regression analyses.

Results

Increasing levels of depression were associated with lower QoL among patients seeking care from traditional and faith healers. BSS scores were significantly negatively correlated with overall, physical, psychological, and environmental QoL, p < .05. There was a statistically significant difference between mean scores for overall QoL between depressed (M = 2.35, SD = 0.76) and non-depressed participants (M = 3.03, SD = 0.67), t(441) = 8.899, p < .001. Overall life satisfaction for depressed participants (M = 2.23, SD = 0.69) was significantly lower than non-depressed participants. Regression analyses indicated that depression, suicidal ideation, and being married predicted lower overall QoL controlling for other variables. Post hoc tests and subgroup analysis by gender revealed significant differences for females only. Depression, and older age predicted lower life satisfaction whereas being self-employed predicted higher life satisfaction, when controlling for other variables.

Conclusion

This study sheds light on correlates of QoL in depressed and non-depressed patients in rural Kenya. Evidence suggests that traditional and faith healers treat patients with a variety of QoL issues. Further research should focus on understanding how these issues tie into QoL, and how these healers can target these to improve care.

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 Is a Precursor of Relationship and Marital Difficulties: Results from Prospective Data from the British Health and Lifestyle Surveys

The DSM system implies that affective instability is caused by reactivity to interpersonal events. We used the British Health and Lifestyle Survey that surveyed community residents in 1984 and again in 1991 to study competing hypotheses: that mood instability (MI) leads to interpersonal difficulties or vice versa. We analyzed data from 5,352 persons who participated in both waves of the survey. Factor analysis of the Eysenck Personality Inventory neuroticism scale was used to derive a 4-item scale for MI. We used depression measures that were previously derived by factor analyzing the General Health Questionnaire. We tested the competing hypotheses by regressing variables at follow-up against baseline variables. The results showed that MI in 1984 clearly predicted the development of interpersonal problems in 1991. After adjusting for depression, depression becomes the main predictor of spousal difficulties, but MI remains a predictor of interpersonal difficulties with family and friends. Attempts to investigate the reverse hypothesis were ambiguous. The clinical implication is that when MI and interpersonal problems are reported, the MI should be treated first, or at least concurrently.

Risk of Suicide Attempt among Adolescents with Conduct Disorder: A Longitudinal Follow-up Study

OBJECTIVE

To assess the independent or comorbid effect of conduct and mood disorders on the risk of suicide.

STUDY DESIGN

The Taiwan National Health Insurance Research Database was used to derive data for 3711 adolescents aged 12-17 years with conduct disorder and 14 844 age- and sex-matched controls between 2001 and 2009. The participants were followed up to the end of 2011, and those who attempted suicide during the follow-up period were identified.

RESULTS

Adolescents with conduct disorder had a higher incidence of suicide (0.9% vs 0.1%; P <.001) and attempted suicide at a younger age (17.38 ± 2.04 vs 20.52 ± 1.70 years of age) than did the controls. The Cox proportional hazards regression model, after adjustment for demographic data and psychiatric comorbidities, determined that conduct disorder was an independent risk factor for subsequent suicide attempts (hazard ratio, 5.17; 95% CI, 2.29-11.70). The sensitivity after those with other psychiatric comorbidities were excluded revealed a consistent finding (hazard ratio, 10.32; 95% CI, 3.71-28.71).

DISCUSSION

Adolescents with conduct disorder had an increased risk of suicide attempts over the next decade. Future studies are required to clarify the underlying pathophysiology and elucidate whether prompt intervention for conduct disorder could reduce this risk.