Mood instability is the distinctive feature of neuroticism. Results from the British Health and Lifestyle Study (HALS)

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.

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.

Genetic Variation in the ASTN2 Locus in Cardiovascular, Metabolic and Psychiatric Traits: Evidence for Pleiotropy Rather Than Shared Biology

Background: The link between cardiometabolic and psychiatric illness has long been attributed to human behaviour, however recent research highlights shared biological mechanisms. The ASTN2 locus has been previously implicated in psychiatric and cardiometabolic traits, therefore this study aimed to systematically investigate the genetic architecture of ASTN2 in relation to a wide range of relevant traits. Methods: Baseline questionnaire, assessment and genetic data of 402111 unrelated white British ancestry individuals from the UK Biobank was analysed. Genetic association analyses were conducted using PLINK 1.07, assuming an additive genetic model and adjusting for age, sex, genotyping chip, and population structure. Conditional analyses and linkage disequilibrium assessment were used to determine whether cardiometabolic and psychiatric signals were independent. Results: Associations between genetic variants in the ASTN2 locus and blood pressure, total and central obesity, neuroticism, anhedonia and mood instability were identified. All analyses support the independence of the cardiometabolic traits from the psychiatric traits. In silico analyses provide support for the central obesity signal acting through ASTN2, however most of the other signals are likely acting through other genes in the locus. Conclusions: Our systematic analysis demonstrates that ASTN2 has pleiotropic effects on cardiometabolic and psychiatric traits, rather than contributing to shared pathology.

A genome-wide multiphenotypic association analysis identified common candidate genes for subjective well-being, depressive symptoms and neuroticism

Subjective well-being (SWB), depressive symptoms, and neuroticism are common and vital traits of mental disorders. Genetic mechanisms of SWB, depressive symptoms and neuroticism remain elusive now. The large-scale GWAS summary datasets of SWB (n = 229,883), depressive symptoms (n = 180,866), and neuroticism (n = 170,911) were obtained from published studies. MASH tool was applied to the GWAS datasets for identifying candidate SNPs shared by SWB, depressive symptoms and neuroticism. SNPs detected by MASH, were then mapped to target genes considering regulatory SNP (rSNP), methylated quantitative trait locus (MeQTL) and the SNPs near to known genes. Gene set enrichment analysis (GSEA) was conducted by the FUMA platform. A total of 122 candidate SNPs were detected by MASH analysis, mapping to 29 target genes, such as CLDN23, MSRA and XKR6. GO enrichment analysis identified multiple immune related gene sets for SWB, depressive symptoms and neuroticism, such as GSE2770_UNTREATED_VS_IL4_TREATED_ACT_CD4_TCELL_48H_DN (P = 7.32 × 10^-3), GSE6259_FLT3L_INDUCED_DEC205_POS_DC_VS_CD4_TCELL_DN (P = 2.52 × 10^-2). We also found some mental disorders related gene sets were associated with three phenotypes, such as mood instability (P = 1.15 × 10^-6) and neuroticism (P = 1.72 × 10^-6). We identified multiple candidate genes and GO terms shared by SWB, depressive symptoms and neuroticism. Our results support the overlapping genetic mechanisms, and suggest a functional correlation between immunity and SWB, depressive symptoms and neuroticism.

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.

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.

Mood Instability and Trait Anxiety as Distinct Components of Eysenckian Neuroticism With Differential Relations to Impulsivity and Risk Taking

This article presents the results of 2 studies that investigated mood instability in the Eysenck neuroticism scales and its relationship to trait impulsivity and risk taking. In Study 1 we examined the relationship between a mood instability factor in the Eysenck Personality Inventory and impulsivity (i.e., rapid unplanned behavior) in a general population sample of 6,066 adults. The mood instability factor was positively correlated with impulsivity. The remaining factors, largely reflecting trait anxiety, were also positively correlated with impulsivity, although these correlations disappeared when mood instability was included in the same regression model. In Study 2 we factor analyzed the short form of the revised Eysenck Personality Questionnaire to isolate mood instability and trait anxiety factors and explore their associations with risk taking in a general population sample of 394,170 adults 40 to 69 years old. The mood instability factor was positively associated with risk taking, whereas the association for the trait anxiety factor was negative. Taken together, the results suggest that mood instability and trait anxiety are separable components of Eysenckian neuroticism and that mood instability is the main component that is positively associated with trait impulsivity and risk taking. Further research is needed to clarify the factor structure of Eysenckian neuroticism.

Personality and Postpartum Sexual Functioning in Israeli Women: The Mediating Role of Body Image

In this study, we aimed to measure the association between the postpartum personality and sexual functioning. This association was examined in light of the possible mediation effect of body image measures, that is, body satisfaction and body exposure during sexual activity. This cross-sectional study employed a web-based questionnaire for women who had given birth in the previous year ( N = 382). Key outcome measures included sexual functioning after birth, body image satisfaction, neuroticism, and extraversion personality dimensions. Among the key findings, increased anxiety regarding body exposure during sexual activity and lower body satisfaction were associated with lower postpartum sexual functioning. Higher neuroticism, but not extraversion, was associated with lower postpartum sexual functioning; however, this association was mediated by the body image measures. Given this mediation by body image variables, it may be beneficial to address body image issues when treating women with postpartum sexual difficulties.

Mood instability as a predictor of clinical and functional outcomes in adolescents with bipolar I and bipolar II disorder

BACKGROUND

Traditional assessment and treatment of bipolar disorder (BD) often overlooks an important feature of the illness, mood instability (MI). MI - the presence of intense, rapidly shifting emotional states - is associated with a number of poor prognostic outcomes. This study examined whether MI among adolescents with BD was cross-sectionally related to bipolar subtype (I vs. II) and prognostically associated with symptoms and functioning over 3 months.

METHODS

Participants included 145 adolescents (mean age: 15.6 years ± 1.4) with BD I or II with a mood episode in the previous 3 months. Depression and (hypo)mania instability were computed using the root mean square successive difference (rMSSD) score, reflecting both the size and temporal order of changes in weekly depression and (hypo)mania scores (over 12 weeks) from the Adolescent Longitudinal Interval Follow-Up Evaluation.

RESULTS

Greater depression instability was associated with BD II, whereas greater (hypo)mania instability was associated with BD I. Baseline MI, particularly depression, predicted more instability, a higher percentage of weeks in a clinical mood state, and poorer global functioning over 3 months, even when covarying concurrent mood severity scores.

LIMITATIONS

The clinical measure of symptoms used retrospective reports of clinically significant symptoms only. We were unable to standardize medication use or adherence.

CONCLUSIONS

MI differs by diagnostic subtype, is relatively stable over time, and predicts clinical and functional outcomes. Targeting MI should be considered a clinical focus to augment traditional methods of assessing and treating BD during adolescence to enhance clinical and functional outcomes.

Neuroticism and suicide in a general population cohort: results from the UK Biobank Project

BACKGROUND

Neuroticism has often been linked to suicidal thoughts and behaviour.

AIMS

To examine whether neuroticism is associated with suicide deaths after adjusting for known risks.

METHOD

UK Biobank participants (n = 389 365) were assessed for neuroticism as well as social, demographic and health-related variables at study entry and followed for up to 10 years. Suicide risk was modelled using Cox regression stratified by gender.

RESULTS

Neuroticism increased the risk of suicide in both men (hazard ratio (HR) = 1.15, 95% CI 1.09-1.22) and women (HR = 1.16, 95% CI 1.06-1.27). In a subsample who were assessed for mood disorders, neuroticism remained a significant predictor for women (HR 1.25, 95% CI 1.03-1.51) but not for men.

CONCLUSIONS

Screening and therapeutic interventions for neuroticism may be important for early suicide prevention.

DECLARATION OF INTEREST

None.

Moods in Clinical Depression Are More Unstable than Severe Normal Sadness

OBJECTIVE

Current descriptions in psychiatry and psychology suggest that depressed mood in clinical depression is similar to mild sadness experienced in everyday life, but more intense and persistent. We evaluated this concept using measures of average mood and mood instability (MI).

METHOD

We prospectively measured low and high moods using separate visual analog scales twice a day for seven consecutive days in 137 participants from four published studies. Participants were divided into a non-depressed group with a Beck Depression Inventory score of ≤10 (n = 59) and a depressed group with a Beck Depression Inventory score of ≥18 (n = 78). MI was determined by the mean square successive difference statistic.

RESULTS

Mean low and high moods were not correlated in the non-depressed group but were strongly positively correlated in the depressed group. This difference between correlations was significant. Low MI and high MI were weakly positively correlated in the non-depressed group and strongly positively correlated in the depressed group. This difference in correlations was also significant.

CONCLUSION

The results show that low and high moods, and low and high MI, are highly correlated in people with depression compared with those who are not depressed. Current psychiatric practice does not assess or treat MI or brief high mood episodes in patients with depression. New models of mood that also focus on MI will need to be developed to address the pattern of mood disturbance in people with depression.

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.

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.

Childhood maltreatment and personality disorders in patients with a major depressive disorder: A comparative study between France and Togo

Few studies have examined the association between childhood maltreatment (CM) and personality disorders (PDs) in adulthood in two different cultural contexts, including sub-Saharan Africa. The aims of this study were to compare the frequency of CM between patients in treatment in France and Togo for a major depressive disorder (MDD), to explore the link between CM and PDs, and to examine the mediating effect of personality dimensions in the pathway from CM to PDs in 150 participants (75 in each country). The 28-item Childhood Trauma Questionnaire, the International Personality Item Pool, and the Personality Diagnostic Questionnaire (PDQ-4+) were used to assess CM, personality dimensions, and PDs respectively. Togolese participants reported sexual and physical abuse (PA) and emotional and physical neglect significantly more frequently than French participants. In Togo, severe PA was associated with schizoid, antisocial, narcissistic, obsessive-compulsive, depressive, and negativist PDs whereas in France, PA was only linked to paranoid PD. In Togo, emotional instability partly mediated the relationship between CM and PDs while in France, no personality dimension appeared to mediate this link. Our results support the hypothesis that CM is more common in low-income countries and suggest that the links between CM and PDs are influenced by social environment.

Mood instability underlies the relationship between impulsivity and internalizing psychopathology

Impulsivity, the tendency to act without adequate forethought, has been associated with various internalizing disorders. Mood instability, the tendency to experience rapid and intense mood swings, relates to both internalizing disorders and impulsivity. We hypothesized that the association between mood instability and impulsivity accounts for the relationship between impulsivity and internalizing psychopathology. We conducted two studies to test our hypothesis. In Study 1 we used data from the 2007 Adult Psychiatric Morbidity Survey to examine mood instability in the relationship between depression and impulsivity. Mood instability and impulsivity were assessed with the Structured Clinical Interview for DSM-IV Axis-II Personality Disorders and depression was assessed with the revised Clinical Interview Schedule. In Study 2 we used data from the 1984 and 1991 British Health and Lifestyle Surveys to examine mood instability in the longitudinal relationship between impulsivity and internalizing symptoms. Mood instability and impulsivity were measured with the Eysenck Personality Inventory and internalizing symptoms were assessed with the General Health Questionnaire. In both studies we used a sequential regression analysis to test our hypothesis. Results from Study 1 showed that participants with depression were more likely to report impulsivity, but this effect became nonsignificant when mood instability was included in the same regression model. In Study 2 impulsivity predicted internalizing symptoms seven years in the future, but this effect became nonsignificant after mood instability was included in the same regression model. We conclude that impulsivity relates to internalizing psychopathology largely by being associated with mood instability. Research and therapy for internalizing conditions might be more productively directed at mood instability rather than impulsivity.

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.

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.

Maintaining sleep and physical activity alleviate mood instability

OBJECTIVE

Building on previous work indicating that mood instability is the hallmark of neuroticism, our aim was to examine whether changes in exercise, sleep duration and leisure predicted decreases in mood instability with time.

METHODS

We used data from 3374 participants of the British Health and Lifestyle Study who answered the Eysenck Personality Inventory-Neuroticism subscale (EPI-N) and the General Health Questionnaire on two occasions 7 years apart. We predicted mood instability scores derived from the EPI-N at follow-up using self-reported changes in exercise, sleep duration and leisure hours between the two time points as independent variables.

RESULTS

We confirmed the observation that mood instability decreases with age. Maintaining one's exercise at baseline level decreased mood instability (beta=-0.21) while sleeping less increased mood instability (beta=0.14). Change in leisure time was not independently related to mood instability after accounting for the two other lifestyle factors.

CONCLUSION

Personality, at least with regard to mood instability, can be modified by lifestyle factors. Exercise and sleep support mood stability and could be important components of preventative mental health (as well as physical health) benefits.

Personality does not distinguish people with fibromyalgia but identifies subgroups of patients

OBJECTIVES

The objectives were to compare the personality of fibromyalgia (FM) patients with other chronic painful and nonpainful disorders considering the confusion due to psychopathology and to assess the clustering of FM patients according to their personality profile.

METHODS

Differences in the NEO Five-Factor Inventory between FM, non-FM chronic pain and drug-resistant epileptic patients were assessed including the confounding effect of demographics and psychopathological status by multivariate regression analysis. Clustering of FM patients was assessed by two-step cluster analysis. Differences in clinical severity and psychosocial problems between subgroups and their outcome 6 months after multidisciplinary treatment were assessed.

RESULTS

The final sample comprised 874 patients. Once the effect of confounding variables was considered, clinically nonsignificant differences in personality were observed between groups. FM patients could, however, be grouped into two clusters. Cluster 1 was characterized by higher neuroticism and lower extraversion and showed a worse pretreatment clinical state including more psychosocial problems. In spite of having reached a wider general improvement at 6-month follow-up, Cluster 1 patients remained more anxious and depressed.

CONCLUSIONS

Identifying personality-based subgroups of FM might allow implementing specific preventive strategies. FM treatment might be optimized by increasing medication compliance, improving therapeutic alliance and testing different therapeutic options and treatment sequencing for each personality subgroup.

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.