Can we increase the subjective well-being of the general population? An umbrella review of the evidence.

INTRODUCTION: Subjective well-being (SWB) refers to being satisfied with one's life, having positive affect and having little negative affect. We may understand it as a subjective definition of good life, or in colloquial terms "happiness", and it has been associated with several important benefits such as lower mortality. In the last decades, several randomized controlled trials (RCT) have investigated the efficacy of several interventions in increasing SWB in the general population but results from different disciplines have not been integrated. METHODS: We conducted an umbrella review of systematic reviews and meta-analyses of RCT that assess the efficacy of any kind of interventions in increasing SWB in the general population, including both positive psychology interventions (PPI) and other interventions. We (re)calculated the meta-analytic statistics needed to objectively assess the quality of the evidence of the efficacy of each type of intervention in improving each component of SWB according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS: There was moderate-quality evidence that PPI might induce small decreases of negative affect, and low-quality evidence that they might induce moderate increases of positive affect. We found similar results for those PPI specifically consisting in conducting acts of kindness (especially spending money on or giving items to others), for which there was low-quality evidence that they might induces small increases of life satisfaction, but not for PPI specifically consisting in practicing gratitude. Quality of the evidence of the efficacy for the other interventions included in the umbrella review (yoga, resilience training, physical activity, leisure, control enhancement, psychoeducation, and miscellaneous) was very low. CONCLUSION: There is some evidence that PPI, and specially conducting acts of kindness such as spending money on others, may increase the SWB of the general population. The quality of the evidence of the efficacy for other interventions (e.g., yoga, physical activity, or leisure) is still very low. Registration number: PROSPERO CRD42020111681.

Multimodal Brain Changes in First-Episode Mania: A Voxel-Based Morphometry, Functional Magnetic Resonance Imaging, and Connectivity Study.

BACKGROUND: Brain structural and functional changes in bipolar disorder (BD) are well-established findings, but it is uncertain whether these changes are already present in first episode mania (FEM). METHODS: We compared 31 FEM subjects, with 31 healthy individuals matched for age, sex, and premorbid IQ. Whole-brain voxel-wise morphometry, functional magnetic resonance imaging during the n-back task, and a functional connectivity analysis were performed. RESULTS: There were no volumetric differences between the 2 groups. During the 2-back task, FEM patients did not perform differently from controls and activated similar regions, but they showed less deactivation in the ventromedial prefrontal cortex (vmPFC), the anterior hub of the default mode network (DMN). They showed preserved functional connectivity between the vmPFC and other regions of the DMN, but increased connectivity with the superior frontal gyrus. CONCLUSIONS: The absence of volumetric changes in FEM patients suggests that these changes could be related to progression of the illness. On the other hand, the failure of deactivation of the anterior hub of the DMN is present from the onset of the illness and may represent a core pathophysiological feature of BD.

Lifetime Psychotic Symptoms, Subthreshold Depression and Cognitive Impairment as Barriers to Functional Recovery in Patients with Bipolar Disorder.

(1) Background: bipolar disorder (BD) is a chronic disease that often leads to functional impairment. The objective of this study is to elucidate which variables are associated with better functional outcomes in a sample of euthymic patients with BD. (2) Methods: patients were recruited at the Hospital Clinic of Barcelona and they underwent a clinical interview, a functional assessment, and a comprehensive neuropsychological evaluation. After that, patients were divided into two groups according to the Functioning Assessment Short Test total score: functionally remitted vs. functionally impaired. Following this, a multivariate logistic regression was run in order to identify clinical, demographic and cognitive factors associated with functional remission. (3) Results: a total of 420 euthymic patients with BD were assessed for this study, distributed as follows: functionally remitted (n = 221) and functionally impaired (n = 199). Finally, the multivariate logistic regression revealed that only five variables significantly contributed to the model, including: lifetime history of psychotic symptoms (the variable that contributed the most to the model), followed by the Hamilton Depression total score, and cognitive performance (executive functions and verbal memory). (4) Conclusions: treatments to ensure a good functional outcome in BD should specially prevent psychosis, target subthreshold depressive symptoms and enhance cognition, more specifically executive functions and verbal memory.

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI).

Most methods for conducting meta-analysis of voxel-based neuroimaging studies do not assess whether effects are not null, but whether there is a convergence of peaks of statistical significance, and reduce the assessment of the evidence to a binary classification exclusively based on p-values (i.e., voxels can only be "statistically significant" or "non-statistically significant"). Here, we detail how to conduct a meta-analysis using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI), a novel method that uses a standard permutation test to assess whether effects are not null. We also show how to grade the strength of the evidence according to a set of criteria that considers a range of statistical significance levels (from more liberal to more conservative), the amount of data or the detection of potential biases (e.g., small-study effect and excess of significance). To exemplify the procedure, we detail the conduction of a meta-analysis of voxel-based morphometry studies in obsessive-compulsive disorder, and we provide all the data already extracted from the manuscripts to allow the reader to replicate the meta-analysis easily. SDM-PSI can also be used for meta-analyses of functional magnetic resonance imaging, diffusion tensor imaging, position emission tomography and surface-based morphometry studies.

Residual depressive symptoms, sleep disturbance and perceived cognitive impairment as determinants of functioning in patients with bipolar disorder.

BACKGROUND: Many patients with bipolar disorder (BD) experience residual symptoms during their inter-episodic periods. The study aimed to analyse the relationship between residual depressive symptoms, sleep disturbances and self-reported cognitive impairment as determinants of psychosocial functioning in a large sample of euthymic BD patients. METHODS: This was a cross-sectional study of 468 euthymic BD outpatients. We evaluated the residual depressive symptoms with the Bipolar Depression Rating Scale, the sleep disturbances with the Pittsburgh Sleep Quality Index, the perceived cognitive performance using visual analogic scales and functioning with the Functioning Assessment Short Test. Structural equation modelling (SEM) was used to describe the relationships among the residual depressive symptoms, sleep disturbances, perceived cognitive performance and functioning. RESULTS: SEM showed good fit with normed chi square=2.46, comparative fit index=0.94, root mean square error of approximation=0.05 and standardized root mean square residuals=0.06. This model revealed that residual depressive symptoms (path coefficient =0.37) and perceived cognitive performance (path coefficient=0.27) were the most important features significantly related to psychosocial functioning. Sleep disturbances were indirectly associated with functioning via residual depressive symptoms and perceived cognitive performance (path coefficient=0.23). CONCLUSIONS: This study contributes to a better understanding of the determinants of psychosocial functioning during the inter-episodic periods of BD patients. These findings should facilitate decision-making in therapeutics to improve the functional outcomes of BD during this period.

Polarity index of pharmacological agents used for maintenance treatment of bipolar disorder.

Over one half of bipolar patients have been reported to be more prone to either depressive or manic relapses. This study aimed to define profiles of drugs used for maintenance treatment of bipolar disorder (BD) by the means of Polarity Index. Polarity Index is a new metric indicating the relative antimanic versus antidepressive preventive efficacy of drugs. Polarity Index was retrieved by calculating Number Needed to Treat (NNT) for prevention of depression and NNT for prevention of mania ratio, as emerging from the results of randomized placebo-controlled trials. Included trials were randomized and double blind, with a minimal duration of 24 weeks, assessing effectiveness of a mood stabilizer or antipsychotic drug alone or in combination with a mood stabilizing agent versus a placebo comparator in BD maintenance treatment. Polarity Index value above 1.0 indicates a relative greater antimanic prophylactic efficacy, number below 1.0 a relative greater antidepressive efficacy. The polarity index for the drugs used in maintenance therapy for bipolar disorder was 12.09 for risperidone, 4.38 for aripiprazole, 3.91 for ziprasidone, 2.98 for olanzapine, 1.39 for lithium, 1.14 for quetiapine, and 0.40 for lamotrigine. Polarity index of valproate and oxcarbazepine may not be reliable due to the failure of their maintenance trials. The polarity index provides a measure of how much antidepressant versus antimanic a drug is in bipolar disorder prophylaxis, and may guide the choice of maintenance therapy in bipolar patients.

Clinical predictors of interpersonal functioning in patients with bipolar disorder.

OBJECTIVE: Functional impairment has been repeatedly reported in patients with bipolar disorder even during clinical remission. Less is known about specific domains, such as interpersonal relationships. The aim of this study was to identify clinical predictors of poor interpersonal relationships. METHODS: Using a specific subscale of the Functioning Assessment Short Test (FAST), we assessed the interpersonal relationships of a sample of 71 euthymic bipolar (Hamilton Depression Rating Scale [HAM-D] < 8; Young Mania Rating Scale [YMRS] < 5) patients. The sample was divided into two categories: low vs. high level functioning in interpersonal relationships according to the median of the sample. Multivariate analyses were applied to identify significant predictors of interpersonal functioning. RESULTS: Age (p=0.026), the number of previous depressive and mixed episodes and HAM-D scores differed significantly between the two groups (p<0.05). For manic episodes, only a tendency was detected (p=0.064). After running multivariate analyses, age (p=0.026), depressive symptoms (p=0.055) and the number of previous manic episodes (p=0.033) could be considered predictors of poor interpersonal functioning. The model predicted 83.3% of the variance (R=0.59; gl=1; p<0.001). DISCUSSION: Our results indicate a link between greater impairment in interpersonal relationships and being older and having more residual symptoms and a higher number of previous manic episodes. Patients with these features should be carefully monitored and specific psychosocial interventions should be implemented to improve their outcome.