Well-being in Patients with Affective Disorders Compared to Nonclinical Participants: A Multi-Model Evaluation of the Mental Health Continuum-Short Form.

OBJECTIVES: The Mental Health Continuum-Short Form (MHC-SF), measuring emotional, social, and psychological well-being, has scarcely been validated in clinical populations. We evaluated MHC-SF in 203 patients with affective disorders and 163 nonclinical participants. METHOD: Traditional confirmatory factor analysis (CFA), bifactor CFA, three-factor exploratory structural equation modeling (ESEM), and bifactor ESEM models were compared. Convergent/discriminant validity was tested against classic well-being validators and current mood state. RESULTS: All three subscales were significantly lower in patients. Test-retest reliability in patients was moderate. Bifactor ESEM fitted data best and displayed full scalar gender and partial scalar invariance across groups. Factor strength indices suggested that MHC-SF is primarily unidimensional, especially in patients. However, subscales differed considerably on size, internal consistency, distinctness, discriminant validity, and temporal stability. CONCLUSIONS: MHC-SF was valid and reliable for monitoring well-being in both clinical and nonclinical samples, but further research is needed before safely concluding on its dimensionality.

Validating a two-dimensional bipolar spectrum model integrating DSM-5's mixed features specifier for Major Depressive Disorder.

INTRODUCTION: The literature on DSM-5's 'Major Depressive Disorder with lifetime mixed features' (MDD-MF) is limited. This study investigated MDD-MF's potential inclusion into a bipolar spectrum. METHODS: We recruited 287 patients with Bipolar I disorder (BD-I), BD-II, MDD-MF or 'MDD without lifetime mixed features' (MDD-noMF); most (N=280) were stabilized for at least one year on medication. Sixteen validators (clinical features, psychiatric family history, temperament, stabilizing treatment) were compared across groups and subjected to trend analyses. Two discriminant function analyses (DFA; primary and secondary), excluding or including, respectively, treatment-related predictors, explored latent dimensions maximizing between-group discrimination; mahalanobis distances between group 'centroids' were calculated. RESULTS: Eleven validators differed significantly across groups; nine varied monotonically along a bipolar diathesis gradient with significant linear trends; two peaked at MDD-MF and displayed significant quadratic trends. In the primary DFA, apart from a classic bipolarity dimension, correlating with hospitalizations, early age at onset, lifetime psychosis and lower anxious temperament scores, on which groups ranked along a bipolar propensity gradient, a second dimension was also significant, peaking at BD-II and MDD-MF (challenging the classic bipolar ranking), which correlated with lifetime psychiatric comorbidities, suicidality, lower lifetime psychosis rates, female gender, higher cyclothymic and lower depressive temperament scores; MDD-MF was equipoised amidst BD-II and MDD-noMF. After including treatment-related predictors (secondary DFA), discrimination improved overall but BD-II and MDD-MF were closest than any other pair, suggesting similar treatment patterns for these two groups at this naturalistic setting. CONCLUSIONS: To our knowledge, this is the first time a two-dimensional bipolar spectrum based on classic external validators is proposed, fitting the data better than a unidimensional model. Additional predictors are warranted to improve BD-II/MDD-MF discrimination.

Alexithymia, anxiety and depression in patients with psoriasis: a case-control study.

BACKGROUND: Alexithymia, the difficulty in describing or recognizing emotions, has been associated with various psychosomatic pathologies including psoriasis. The aim of this study was to examine the prevalence of alexithymia and its association with anxiety and depression in patients with psoriasis compared with healthy participants, while taking into consideration demographic and clinical variables. METHODS: One hundred and eight psoriatic patients and 100 healthy participants from the general population completed the Toronto Alexithymia Scale (TAS-20) and the Hospital Anxiety and Depression Scale (HADS). The severity of patients' psoriasis was clinically assessed using the Psoriasis Area and Severity Index (PASI). RESULTS: Psoriatic patients had higher levels of alexithymia compared with healthy participants. While a rather high rate of psoriatic patients presented anxiety and depression as defined by the HADS, the differences that were found in comparison with the control group were not significant. Neither alexithymia nor its dimensions, difficulty in identifying feelings (DIF), difficulty in describing feelings (DDF) and externally oriented thinking (EOT), were associated with gender or psoriasis severity. Age was associated only with EOT, which was independent of depression and anxiety. Higher anxiety and depression were connected with higher alexithymia and DIF, while higher anxiety with higher DDF as well. CONCLUSIONS: The alexithymia prevalence was higher in psoriatic patients than that in healthy participants, while it was positively correlated with anxiety and depression. Difficulty in identifying feelings was connected with both anxiety and depression, whereas difficulty in describing them was only with anxiety. Finally, externally oriented thinking was predicted only from age.

Temperament and character dimensions explain self-reported resilience deficits in patients with affective disorders.

This is the first study exploring how temperament and character personality dimensions impact self-reported resilience in major depressive disorder (MDD) and bipolar disorder (BD). We included 130 euthymic patients with affective disorders (AFD; 66 MDD and 64 BD) and 134 healthy controls (HC). Connor and Davidson resilience scale and Temperament and Character Inventory (TCI-140) were administered. Multiple linear regressions and interaction analyses were performed. Mediation analyses examined if personality dimensions explained group differences in resilience. Resilience was lower in MDD and BD vs. HC and in MDD vs. BD, adjusting for sex, age and education. Higher resilience was predicted by lower harm avoidance (HA) and higher persistence (P) in AFD and MDD, lower HA in BD and higher P and self-directedness (SD) in HC. However, only HA and P had a group-specific effect on resilience in AFD vs. HC. In mediation analyses, specific TCI dimensions at least partially explained differences in resilience: HA, P and SD in AFD or MDD vs. HC; SD in BD vs. HC; P in BD vs. MDD. Concludingly, two temperament traits (HA, P) and a character trait (SD) predict resilience in AFD. Focusing on personality could identify sources of compromised resilience as potential treatment targets.

[Childhood trauma and suicidality in bipolar disorder: The mediatory role of impulsivity].

Childhood trauma (CT) is correlated with suicidality among patients with bipolar disorder (BD). However, it has not been adequately investigated if a third factor, for instance impulsivity, mediates the effect of CT on suicidality in BD. This study aimed to explore potential mediatory effects of impulsivity in the pathway from CT to suicidality in BD. CT was assessed with the Early Trauma Inventory Self Report-Short Form (ETI-SR-SF), impulsivity with the Barratt Impulsivity Scale-11 (BIS-11) while lifetime suicidality was investigated with the Suicidal Behaviors Questionnaire-Revised (SBQ-R). The effect of childhood trauma on suicidality and impulsivity as well as the effect of impulsivity on suicidality were examined with multiple linear regressions, including gender, age and diagnosis (BD-I, BD-II) as covariates. Structural equation models were built and path analyses were performed (with AMOS 25 software and using bootstrapping in 1000 samples) for the examination of the mediatory role of BIS-11 and its subtypes in the effect of childhood trauma and its subtypes on suicidality. We included 78 BD euthymic patients (60.3% female, 67.9% BD-I). ETI-SR-SF significantly predicted SBQ-R (p=0.004) and BIS-11 (p<0.001), while BIS-11 significantly predicted SBQ-R (p=0.001). In a model including ETI-SR-SF and BIS dimensions, only ETISR-SF physical abuse (p=0.012) and BIS attentional (p<0.001) subscales significantly predicted SBQ-R. In structural equation models, the indirect effect of childhood trauma on suicidality via impulsivity was significant (p=0.003) while the direct effect of childhood trauma on suicidality was non-significant (complete mediation of the effect of childhood trauma on suicidality via impulsivity). In specific, both the indirect effect of physical abuse on suicidality via attentional impulsivity (p=0.002) and the direct effect of physical abuse on suicidality (p=0.013) were statistically significant (partial mediation of the effect of physical abuse on suicidality via attentional impulsivity). Childhood trauma predicts suicidality and impulsivity, while impulsivity predicts suicidality. More specifically, physical abuse and attentional impulsivity predict suicidality. The mediatory role of impulsivity completely explained the effect of childhood trauma on suicidality. Moreover, attentional impulsivity partially mediated the effect of physical abuse on suicidality. Therefore, management of impulsivity and especially of attentional impulsivity is crucial for the prevention and management of suicidality among BD patients with a history of childhood trauma.

Sleep disturbance as a proximal predictor of suicidal intent in recently hospitalized attempters.

OBJECTIVES: Insomnia and short self-reported sleep duration are associated with suicidality, adjusting for concurrent depression. Yet, it is unknown whether they correlate with attempters' suicidal intent and the lethality of suicidal acts. This cross-sectional study in hospitalized suicide attempters aimed to investigate whether temporally proximal self-reported sleep disturbance predicts suicidal intent or exerts mediatory effects. METHODS: Attempters were retrospectively assessed for insomnia severity (Athens Insomnia Scale [AIS]) and average night sleep duration (ANSD) for 2 weeks preceding attempt. The effects of insomnia or ANSD on suicidal intent (Beck's Suicide Intent Scale [BSIS]) were explored in multiple regressions. Mediatory effects were investigated in structural equation models (SEMs). RESULTS: A total of 127 adults (59.8% females) were interviewed within two weeks post-suicide attempt. Major psychiatric diagnoses included affective, psychotic, and alcohol-related disorders. Of the participants, 38.6% had current major depression (MDE). A total of 62.2% reported insomnia (AIS ≥ 6); 42.5% reported short ANSD (≤5 hours). BSIS was predicted by AIS (p = 0.034), short ANSD (p = 0.015), or insomnia with short ANSD (p = 0.006). In SEMs, indirect effects of current MDE, affective disorder, and alcohol-related disorder diagnoses on BSIS via AIS tested significant; both AIS and short ANSD partially mediated the effect of age on BSIS. CONCLUSION: Insomnia, short ANSD, and, in particular, insomnia with short ANSD proximally predicted suicidal intent in recent attempters. The effects of current depression and affective and alcohol-related disorder diagnoses on suicidal intent were partially mediated by insomnia; both insomnia and short ANSD partially mediated the effect of age on suicidal intent. Therefore, management of sleep disturbance in at-risk subjects is important, as it may reduce unfavorable outcomes of suicidal acts.