Predicting which intervention works better for whom: Moderators of treatment effect of Mindfulness-Based Cognitive Therapy and Positive Psychology Intervention in patients with bipolar disorder.

BACKGROUND: This study aimed to identify moderators of treatment effect (i.e. depressive symptoms and well-being) of Mindfulness-Based Cognitive Therapy (MBCT) and Positive Psychology Intervention (PPI) in patients with bipolar disorder. METHODS: Data were drawn from two multicenter randomized controlled trials investigating effectiveness of MBCT vs treatment as usual (TAU; n = 144) and PPI vs TAU (n = 97) in bipolar disorder. Outcomes were assessed at baseline, posttreatment, and 12 months after baseline. Data were analyzed using separate linear regression models, comparing the pooled MBCT or PPI outcomes to TAU, and comparing MBCT to PPI. RESULTS: The exploratory analyses not corrected for multiple comparisons showed a number of variables that were associated with stronger response to the interventions, including higher baseline anxiety, lower well-being, and lower levels of self-focused positive rumination, well-being, and self-compassion, and variables associated with a stronger response to either MBCT (higher levels of depression and anxiety and being married) or PPI (being male). After correcting for multiple testing, depressive symptoms appeared to be the most robust variable associated with better response to MBCT than PPI. LIMITATIONS: The RCTs handled slightly different enrollment criteria and outcome measures. CONCLUSIONS: The most robust finding is that patients with more severe symptomatology seem to benefit more from MBCT than PPI. CLINICAL IMPLICATIONS: This is a first step to improve personalized assignment of third-wave CBT interventions for patients with bipolar disorder. However, before definite treatment assignment criteria can be formulated and implemented in clinical practice, these findings should be replicated.

Idiographic bidirectional associations of stressfulness of events and negative affect in daily life as indicators for mental health: An experience sampling study.

Evidence suggests that complex micro-dynamics occurring in daily life underly the development of mental distress. We aimed to (1) study the cross-lagged association between stressful events and negative affect (NA), (2) show that there is substantial between-person variability in idiographic associations and (3) show that idiographic associations are indicative of mental health. Experience sampling study assessing perceived stressfulness of events (PSE) and NA four times per day for 2 weeks in a non-clinical convenience sample (N = 70, mean age = 22.9, 61% female, 69% German). Bivariate vector autoregressive model implemented in dynamic structural equation modelling to model the associations between stressful events and NA and obtain idiographic associations. Stressfulness of events and NA were significantly reciprocally associated. Autocorrelations and cross-lagged associations from PSE to NA showed substantial variability and were significantly related with trait measures of depression, anxiety, well-being, and perceived stress. Contrary to expectations, cross-lagged associations from NA to stressfulness of events were not related to trait mental health. The approach outlined in this article is useful for studying idiographic dynamics in daily life. The findings increase our understanding of micro-dynamics underlying mental health and individual differences in these processes.

Torn between living or dying-analyses of influencing factors on suicide ambivalence and its longitudinally impact on suicidal ideation and behavior in a high-risk sample.

INTRODUCTION: Findings on the role of suicide ambivalence, an individual's wish to live (WL), and wish to die (WD) in the development of suicidality have been heterogenous. The main goal of this study was to examine associations of these constructs within the past week with sociodemographic factors and to longitudinally investigate their predictive power for suicidal ideation (SI) and suicide attempts (SA). METHODS: N = 308 patients (54% female; M = 36.92 years, SD = 14.30), admitted to a psychiatric ward due to suicidality, were assessed for all constructs after admission, after six, nine, and 12 months. Data were analyzed with univariate fixed-effect models and lagged mixed-effect regression models. RESULTS: Decreased, WL increased post-baseline. Gender showed no significant link to ambivalence, WD, and WL. Ambivalence and WD correlated negatively with age and positively with depressiveness. More participants in a relationship showed a WL compared with single/divorced/widowed participants. More single participants or those in a relationship showed ambivalence than divorced/widowed participants. More single participants showed a WD than participants in a relationship/divorced/widowed. Longitudinally, ambivalence and WD predicted SI and SA. CONCLUSION: The findings underscore the importance of taking suicide ambivalence and WD into account in risk assessment and treatment.

Examining a sentiment algorithm on session patient records in an eating disorder treatment setting: a preliminary study.

Background: Clinicians collect session therapy notes within patient session records. Session records contain valuable information about patients' treatment progress. Sentiment analysis is a tool to extract emotional tones and states from text input and could be used to evaluate patients' sentiment during treatment over time. This preliminary study aims to investigate the validity of automated sentiment analysis on session patient records within an eating disorder (ED) treatment context against the performance of human raters. Methods: A total of 460 patient session records from eight participants diagnosed with an ED were evaluated on their overall sentiment by an automated sentiment analysis and two human raters separately. The inter-rater agreement (IRR) between the automated analysis and human raters and IRR among the human raters was analyzed by calculating the intra-class correlation (ICC) under a continuous interpretation and weighted Cohen's kappa under a categorical interpretation. Furthermore, differences regarding positive and negative matches between the human raters and the automated analysis were examined in closer detail. Results: The ICC showed a moderate automated-human agreement (ICC = 0.55), and the weighted Cohen's kappa showed a fair automated-human (k = 0.29) and substantial human-human agreement (k = 0.68) for the evaluation of overall sentiment. Furthermore, the automated analysis lacked words specific to an ED context. Discussion/conclusion: The automated sentiment analysis performed worse in discerning sentiment from session patient records compared to human raters and cannot be used within practice in its current state if the benchmark is considered adequate enough. Nevertheless, the automated sentiment analysis does show potential in extracting sentiment from session records. The automated analysis should be further developed by including context-specific ED words, and a more solid benchmark, such as patients' own mood, should be established to compare the performance of the automated analysis to.

Predicting non-improvement of symptoms in daily mental healthcare practice using routinely collected patient-level data: a machine learning approach.

Objectives: Anxiety and mood disorders greatly affect the quality of life for individuals worldwide. A substantial proportion of patients do not sufficiently improve during evidence-based treatments in mental healthcare. It remains challenging to predict which patients will or will not benefit. Moreover, the limited research available on predictors of treatment outcomes comes from efficacy RCTs with strict selection criteria which may limit generalizability to a real-world context. The current study evaluates the performance of different machine learning (ML) models in predicting non-improvement in an observational sample of patients treated in routine specialized mental healthcare. Methods: In the current longitudinal exploratory prediction study diagnosis-related, sociodemographic, clinical and routinely collected patient-reported quantitative outcome measures were acquired during treatment as usual of 755 patients with a primary anxiety, depressive, obsessive compulsive or trauma-related disorder in a specialized outpatient mental healthcare center. ML algorithms were trained to predict non-response (< 0.5 standard deviation improvement) in symptomatic distress 6 months after baseline. Different models were trained, including models with and without early change scores in psychopathology and well-being and models with a trimmed set of predictor variables. Performance of trained models was evaluated in a hold-out sample (30%) as a proxy for unseen data. Results: ML models without early change scores performed poorly in predicting six-month non-response in the hold-out sample with Area Under the Curves (AUCs) < 0.63. Including early change scores slightly improved the models' performance (AUC range: 0.68-0.73). Computationally-intensive ML models did not significantly outperform logistic regression (AUC: 0.69). Reduced prediction models performed similar to the full prediction models in both the models without (AUC: 0.58-0.62 vs. 0.58-0.63) and models with early change scores (AUC: 0.69-0.73 vs. 0.68-0.71). Across different ML algorithms, early change scores in psychopathology and well-being consistently emerged as important predictors for non-improvement. Conclusion: Accurately predicting treatment outcomes in a mental healthcare context remains challenging. While advanced ML algorithms offer flexibility, they showed limited additional value compared to traditional logistic regression in this study. The current study confirmed the importance of taking early change scores in both psychopathology and well-being into account for predicting longer-term outcomes in symptomatic distress.

First validation of the model of sustainable mental health: Structural model validity and the indirect role of adaptation.

OBJECTIVES: There is a growing interest in mental well-being as a vital outcome in clinical practice in addition to mental illness. The model of sustainable mental health (SMH) was recently introduced to delineate how interventions can improve mental health by targeting barriers and resources of adaptation to life stressors, improving the ability to adapt and thereby reducing mental illness and improving mental well-being. The aim of the current study is to empirically validate the conceptual model of SMH as well as the assumed indirect role of ability to adapt. METHODS: This study used an existing dataset of the general population with self-reported reduced well-being due to the corona crisis (n = 849, mean age 53 years, SD = 15). Measurements of mental illness (depression and anxiety), mental well-being, ability to adapt, a specific barrier for adaptation (i.e., repetitive negative thinking), and a specific resource for adaptation (i.e., positive reframing) were included. Structural equation modeling was used to assess both the structural validity of the model and the indirect effect of ability to adapt. RESULTS: An acceptable to good fit was found for the model of SMH and all paths between the proposed elements of the model were significant and in the hypothesized direction. Ability to adapt served as an indirect pathway trough which repetitive negative thinking (B = 0.149, 95% confidence interval [CI] = 0.016-0.028) and positive reframing (B = 0.163, 95% CI = 0.065-0.123) were linked with mental illness and mental well-being. CONCLUSION: The current study provides the first empirical support of the internal validity of the model of SMH in a sample of the general population with reduced well-being, suggesting that barriers and resources to adaptation have an effect on mental illness and mental well-being through the ability to adapt. The model of SMH may therefore be a good model to use in research and clinical practice for developing, implementing, and evaluating a balanced treatment approach targeting both barriers and resources for adaptation.

Estimating the true effectiveness of smoking cessation interventions under variable comparator conditions: A systematic review and meta-regression.

BACKGROUND AND AIMS: Behavioural smoking cessation trials have used comparators that vary considerably between trials. Although some previous meta-analyses made attempts to account for variability in comparators, these relied on subsets of trials and incomplete data on comparators. This study aimed to estimate the relative effectiveness of (individual) smoking cessation interventions while accounting for variability in comparators using comprehensive data on experimental and comparator interventions. METHODS: A systematic review and meta-regression was conducted including 172 randomised controlled trials with at least 6 months follow-up and biochemically verified smoking cessation. Authors were contacted to obtain unpublished information. This information was coded in terms of active content and attributes of the study population and methods. Meta-regression was used to create a model predicting smoking cessation outcomes. This model was used to re-estimate intervention effects, as if all interventions have been evaluated against the same comparators. Outcome measures included log odds of smoking cessation for the meta-regression models and smoking cessation differences and ratios to compare relative effectiveness. RESULTS: The meta-regression model predicted smoking cessation rates well (pseudo R2 = 0.44). Standardising the comparator had substantial impact on conclusions regarding the (relative) effectiveness of trials and types of intervention. Compared with a 'no support comparator', self-help was 1.33 times (95% CI = 1.16-1.49), brief physician advice 1.61 times (95% CI = 1.31-1.90), nurse individual counselling 1.76 times (95% CI = 1.62-1.90), psychologist individual counselling 2.04 times (95% CI = 1.95-2.15) and group psychologist interventions 2.06 times (95% CI = 1.92-2.20) more effective. Notably, more elaborate experimental interventions (e.g. psychologist counselling) were typically compared with more elaborate comparators, masking their effectiveness. CONCLUSIONS: Comparator variability and underreporting of comparators obscures the interpretation, comparison and generalisability of behavioural smoking cessation trials. Comparator variability should, therefore, be taken into account when interpreting and synthesising evidence from trials. Otherwise, policymakers, practitioners and researchers may draw incorrect conclusions about the (cost) effectiveness of smoking cessation interventions and their constituent components.

A multicomponent positive psychology intervention for euthymic patients with bipolar disorder to improve mental well-being and personal recovery: A pragmatic randomized controlled trial.

OBJECTIVE: Mental well-being and personal recovery are important treatment targets for patients with bipolar disorder (BD). The goal of this study was to evaluate the effectiveness of an 8-week group multicomponent positive psychology intervention (PPI) for euthymic patients with BD as an adjunct to treatment as usual (TAU) compared to TAU alone. METHODS: Patients with BD were randomized to receive TAU (n = 43) or the PPI in addition to TAU (n = 54). The primary outcome was well being measured with the Mental Health Continuum-Short Form. Personal recovery was measured with the Questionnaire about the Process of Recovery. Data were collected at baseline, mid-treatment, post-treatment and 6- and 12-month follow-up. Life chart interviews were conducted at 12 months to retrospectively assess recurrence of depression and mania. RESULTS: Significant group-by-time interaction effects for well-being and personal recovery were found favouring the PPI. At post-treatment, between-group differences were significant for well-being (d = 0.77) and personal recovery (d = 0.76). Between-group effects for well-being were still significant at 6-month follow-up (d = 0.72). Effects on well-being and personal recovery within the intervention group were sustained until 12-month follow-up. Survival analyses showed no significant differences in time to recurrence. CONCLUSIONS: The multicomponent PPI evaluated in this study is effective in improving mental well-being and personal recovery in euthymic patients with BD and would therefore be a valuable addition to the current treatment of euthymic BD patients. The fact that the study was carried out in a pragmatic RCT demonstrates that this intervention can be applied in a real-world clinical setting.

The effectiveness of a web-based Dutch parenting program to prevent overweight in children 9-13 years of age: Results of a two-armed cluster randomized controlled trial.

INTRODUCTION: Although parental support is an important component in programs designed to prevent overweight in children, current programs pay remarkably little attention to the role of parenting. We therefore developed a web-based parenting program entitled "Making a healthy deal with your child". This e-learning program can be incorporated into existing overweight prevention programs. The aim of this study was to determine the effectiveness of this e-learning program. MATERIALS AND METHODS: The effectiveness was examined in a two-armed cluster randomized controlled trial. The participants were 475 parent-child dyads of children 9-13 years of age in the Netherlands who participated in an existing schoolclass-based overweight prevention program. At the school grade level, parents were randomly assigned to either the intervention or the control condition. Measurements were taken from both parents and children at baseline, and 5 and 12 months after baseline. Primary outcomes included the child's dietary and sedentary behavior, and level of physical activity. Secondary outcomes included general parenting style, specific parenting practices, and parental self-efficacy. Linear mixed effects models and generalized linear mixed effects models were conducted in R. RESULTS: Intention-to-treat analyses and completers only revealed no significant effects between the intervention and control condition on energy balance-related behaviors of the child and parenting skills after correction for multiple testing. The parents' mean satisfaction with the e-learning program (on a 10-point scale) was 7.0±1.1. CONCLUSIONS: Although parents were generally satisfied with the parenting program, following this program had no significant beneficial effects regarding the children's energy balance-related behaviors or the parenting skills compared to the control condition. This program may be more beneficial if used by high-risk groups (e.g. parents of children with unhealthy energy balance-related behaviors and/or with overweight) compared to the general population, warranting further study.

Disentangling between- and within-person associations of psychological distress and mental well-being: An experience sampling study examining the dual continua model of mental health among university students.

The dual continua model assumes that psychological distress and mental well-being are two related, yet distinct dimensions of mental health. Previous studies did convincingly show the distinctiveness of these two dimensions using mainly cross-sectional research. Despite the importance to distinguish between- and within-person associations in psychological theories, to date, no study specifically distinguished between- and within-person associations for the relationship between distress and well-being. Therefore, the objective of this study was to validate whether the dual continua model actually holds when examined within individuals. Intensive longitudinal data were collected through experience sampling. The sample included 25 university students (mean age = 23.50 years, 56% female), who completed a baseline questionnaire as well as momentary measures of psychological distress and mental well-being three times per day for two weeks. 1,014 timepoints were analyzed using multilevel models and person-mean centering was applied to distinguish between- and within person associations. A significant moderate negative between-person association was found for the relationship between psychological distress and mental well-being (ß = -.363, marginal R 2 = 0.15, p < .001). The within-person association was also significant and similar in magnitude (ß = -.432, marginal R 2 = 0.18, p < .001) at the group level. Individual within-person associations between distress and well-being varied substantially, but were negative for almost all participants. This study is an important step towards validating the applicability and universality of this widely used model. The current findings provide preliminary evidence that the dual continua model does not only hold between people, but also on the level it is actually used for, namely within individual people.

A school-based program to prevent depressive symptoms and strengthen well-being among pre-vocational students (Happy Lessons): protocol for a cluster randomized controlled trial and implementation study.

BACKGROUND: Depression is one of the leading causes of illness and disability among young people. In the Netherlands, one in twelve Dutch adolescents has experienced depression in the last 12 months. Pre-vocational students are at higher risk for elevated depressive symptoms. Effective interventions, especially for this risk group, are therefore needed to prevent the onset of depression or mitigate the adverse long-term effects of depression. The aim of this study is to examine the effectiveness and implementation of a school-based program Happy Lessons (HL), that aims to prevent depression and promote well-being among pre-vocational students. METHODS: A cluster randomized controlled trial (RCT) with students randomized to HL or to care as usual will be conducted. Pre-vocational students in their first or second year (aged 12 to 14) will participate in the study. Subjects in both conditions will complete assessments at baseline and at 3- and 6-months follow-up. The primary outcome will be depressive symptoms using the Center for Epidemiologic Studies Depression Scale (CES-D) at 6-months follow-up. Secondary outcomes are well-being using the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) and life satisfaction (Cantril Ladder) measured at 6-months follow-up. Alongside the trial, an implementation study will be conducted to evaluate the implementation of HL, using both quantitative and qualitative methods (interviews, survey, and classroom observations). DISCUSSION: The results from both the RCT and implementation study will contribute to the limited evidence base on effective school-based interventions for the prevention of depression and promotion of well-being among pre-vocational adolescents. In addition, insights from the implementation study will aid identifying factors relevant for optimizing the future implementation and scale-up of HL to other schools and contexts. TRIAL REGISTRATION: This study was registered on 20 September 2021 in the Dutch Trial Register ( NL9732 ).

Generalized pain hypersensitivity and associated factors in gout.

OBJECTIVES: Previous studies have indicated that a sizeable proportion of patients with inflammatory arthritis present with features characteristic of central pain sensitization. However, this has not yet been examined in patients with gout. The objective of this study was to explore the presence of generalized pain hypersensitivity and associated factors in patients with diagnosed gout. METHODS: A cross-sectional survey was performed in outpatients with crystal proven gout using the generalized pain questionnaire (GPQ) to screen for the presence of generalized pain hypersensitivity. Additional self-reported socio-demographic and medical information was collected and several patient-reported outcome measures were completed. Univariable logistic regressions and multivariable LASSO regression analysis with 10-fold cross-validation was used to explore relationships with patient characteristics, clinical features and PROMs. RESULTS: Of the 97 included patients (84.5% male; mean (s.d.) age: 68.9 ± 11.9 years), 20 patients (20.6%, 95% CI: 13.0, 30.0) reported possible generalized pain hypersensitivity defined as a GPQ score ≥11 (range: 0-28; mean (s.d.) GPQ: 6.3 ± 5.3). Lower age, concomitant fibromyalgia and more experienced difficulties in performing their social role were independently associated with generalized pain hypersensitivity. Notably, use of urate lowering therapy was significantly lower in those with generalized pain hypersensitivity. CONCLUSIONS: Generalized pain hypersensitivity appears to be quite common in gout, despite its more intermittent nature compared with other inflammatory arthritides. As this kind of pain does not respond well to regular treatment, screening for non-inflammatory pain may be important for improving pain management in gout.

Exploring factors associated with personal recovery in bipolar disorder.

BACKGROUND: Personal recovery is increasingly recognized as important outcome for people with bipolar disorder (BD), but research addressing associated factors of personal recovery in this group remains scarce. This study aimed to explore the association of sociodemographic variables, social participation, psychopathology, and positive emotion regulation with personal recovery in BD. METHODS: Baseline data from a randomized controlled trial and survey data were combined (N = 209) and split into a training (n = 149) and test sample (n = 60). Block-wise regression analyses and model training were used to determine the most relevant predictors. The final parsimonious model was cross-validated in the test sample. RESULTS: In the final parsimonious model, satisfaction with social roles (ß = .442, p < .001), anxiety symptoms (ß = -.328, p < .001), manic symptoms (ß = .276, p < .001), and emotion-focused positive rumination (ß = .258, p < .001) were independently associated with personal recovery. The model explained 57.3% variance in personal recovery (adjusted R2  = .561) and performed well in predicting personal recovery in the independent test sample (adjusted R2  = .491). CONCLUSIONS: Our findings suggest that especially social participation, anxiety and positive rumination might be relevant treatment targets when aiming to improve personal recovery. PRACTITIONER POINTS: Personal recovery is considered an increasingly important outcome for people with chronic mental health conditions, including bipolar disorder. We found that anxiety and manic symptoms as well as positive rumination and social participation were independently associated with personal recovery in bipolar disorder. Therefore, these outcomes might be relevant treatment targets when aiming to improve personal recovery in bipolar disorder. Possible interventions to improve these outcomes are discussed, including supported employment and vocational rehabilitation for social participation and exercising with savoring strategies to increase positive rumination.

Gratitude as Mood Mediates the Effects of a 6-Weeks Gratitude Intervention on Mental Well-Being: Post hoc Analysis of a Randomized Controlled Trial.

There is a gap of knowledge about the extent to which gratitude is indeed the working mechanism of change in gratitude interventions aiming to promote mental well-being. This study explores the mediational role of gratitude as mood in the context of a recently conducted randomized controlled trial on the effects of a 6-week gratitude intervention on mental well-being in comparison with a waitlist control group. Gratitude as mood was measured at 2, 4, and 6 weeks. Both simple and multiple mediation models were conducted as well as various sensitivity analyses. Results showed a gradual increase of gratitude as mood during the intervention. The effects of the 6-week gratitude intervention on mental well-being were mediated by increases of gratitude as mood at 4 weeks but not at 2 weeks. These findings suggest a dose-response relationship for gratitude interventions, but more research is warranted.

Economic evaluations of non-pharmacological interventions and cost-of-illness studies in bipolar disorder: A systematic review.

Background Bipolar disorder (BD) is associated with substantial societal burden. Therefore, economic studies in BD are becoming increasingly important. The goal of the current study is three-fold: (1) summarize the evidence regarding economic evaluations (EEs) of non-pharmacological interventions for BD, (2) summarize cost-of-illness studies (COIs) for BD published 2012 or later and (3) assess the quality of the identified studies. Methods A systematic search was conducted in MedLine, EMBASE and PsycINFO. For both EEs and COIs, quality assessments were conducted and general and methodological characteristics of the studies were extracted. Outcomes included incremental-cost-effectiveness ratios for EEs and direct and indirect costs for COIs. Results Eight EEs and ten COIs were identified. The included studies revealed high heterogeneity in general and methodological characteristics and study quality. All interventions resulted in improved clinical outcomes. Five studies additionally concluded decreased total costs. For COIs, we found a wide range of direct ($881-$27,617) and indirect cost estimates per capita per year ($1,568-$116,062). Limitations High heterogeneity in terms of interventions, study design and outcomes made it difficult to compare results across studies. Conclusions Interventions improved clinical outcomes in all studies and led to cost-savings in five studies. Findings suggest that non-pharmacological intervention for BD might be cost-effective. Studies on the costs of BD revealed that BD has a substantial economic burden. However, we also found that the number of EEs was relatively low and methodology was heterogenous and therefore encourage future research to widen the body of knowledge in this research field and use standardized methodology.

The relationship between emotion regulation and well-being in patients with mental disorders: A meta-analysis.

BACKGROUND: The importance of both specific emotion regulation strategies and overall deficits in emotion regulation in the context of psychopathology is widely recognized. Besides alleviating psychological symptoms, improving mental well-being is increasingly considered important in treatment of people with mental disorders. However, no comprehensive meta-analysis on the relationship between emotion regulation and well-being in people with mental disorders has been conducted yet. OBJECTIVE: The aim of the current study was to synthesize and meta-analyze evidence regarding the relationship between emotion regulation and well-being in clinical samples across studies. METHOD: A systematic literature search was conducted in PsycINFO, PubMed and Scopus and 94 cross-sectional effect sizes from 35 studies were meta-analyzed to explore this relationship. To be eligible for the meta-analysis, studies had to include a clinical sample, assess at least one specific emotion regulation strategy or overall deficits in emotion regulation and include well-being as outcome. RESULTS: The findings showed significant small to moderate negative relationships with well-being for the strategies avoidance (r = -0.31) and rumination (r = -0.19) and positive relationships with reappraisal (r = 0.19) and acceptance (r = 0.42). Grouping together putative adaptive and maladaptive strategies revealed similar sized relationships with well-being in the expected direction. Overall deficits in emotion regulation showed a negative moderate correlation with well-being (r = -0.47). No substantial difference in relationships was found when clustering studies into hedonic and eudaimonic well-being. CONCLUSION: Our findings suggest that emotion regulation is not merely related with psychopathology, but also with well-being in general as well as hedonic and eudaimonic well-being. Therefore, it might also be important to improve emotion regulation when aiming to improve well-being in people with mental disorders.

Psychometric properties and utility of the Responses to Positive Affect questionnaire (RPA) in a sample of people with bipolar disorder.

OBJECTIVES: To evaluate the psychometric properties of the Responses to Positive Affect (RPA) questionnaire in a sample of persons with bipolar disorder (BD). METHOD: Cross-sectional survey study with 107 persons with BD. The original 3-factor model of the RPA was compared with a 2-factor model. Construct validity was determined with measures of well-being, personal recovery, social role participation, and psychopathology and incremental validity was evaluated. RESULTS: The fit of the 3-factor model was acceptable for most fit indices. Subscores of the RPA revealed a significant relationship with aspects of well-being, personal recovery, and psychopathology. Dampening and self-focused positive rumination explained additional variance in personal recovery above and beyond well-being. CONCLUSIONS: The RPA is an internally consistent and valid tool to assess positive emotion regulation processes in persons with BD. Specifically, the processes of dampening and emotion-focused positive rumination seem to play an important role in BD.

Measuring personal recovery in people with bipolar disorder and exploring its relationship with well-being and social role participation.

The relevance of personal recovery receives increasing attention in mental health care and is also important for people with bipolar disorder (BD). There is a need for reliable and valid instruments measuring personal recovery. Therefore, the current study evaluated the psychometric properties of a Dutch translation of the Questionnaire about the Process of Recovery (QPR) in a sample of people with BD and explored the relationship with constructs of well-being, social role participation, and psychopathology. A cross-sectional survey study was conducted in which 102 people diagnosed with BD completed the QPR. Factor structure of the QPR was evaluated by conducting confirmatory factor analyses (CFA), and internal consistency was assessed by calculating reliability coefficients. Convergent validation measures assessed well-being, social role participation, and symptomatology. Incremental validity was determined by evaluating the ability of the QPR to explain variance in symptomatology above and beyond well-being. Findings of the CFA supported a unidimensional factor structure, and internal consistency estimates were excellent. Scores of the QPR showed strong correlations with convergent measures, but were only weakly associated with manic symptomatology. Moreover, personal recovery explained additional variance in symptoms of depression and anxiety above and beyond well-being, indicating incremental validity. The QPR appears to be a reliable and valid tool to assess personal recovery in people with BD. Our findings underline the importance of personal recovery in the context of treatment of BD. Personal recovery demonstrates a substantial overlap with well-being.

B-positive: a randomized controlled trial of a multicomponent positive psychology intervention for euthymic patients with bipolar disorder - study protocol and intervention development.

BACKGROUND: Bipolar disorder (BD) is characterized by recurrent (hypo)manic and depressive episodes, alternating with euthymic states in which patients are relatively symptom free. Besides clinical recovery, it is important to also strive for improvement of mental well-being and personal recovery. One prominent field focussing on the improvement of well-being is positive psychology. However, studies assessing the effects of positive psychology or personal recovery interventions for people with BD are scarce and have used weak methodological designs. The study described in this protocol article aims to assess the effectiveness of a multicomponent positive psychology intervention ("Living well with bipolar disorder") adjusted for people with BD in the euthymic phase to improve well-being and personal recovery. METHOD: The study concerns a pragmatic randomized multicenter trial. The principle objective of the study is to assess whether the positive psychology intervention offered to BD patients in remission in addition to usual care (CAU) is more effective than CAU. The study will include 112 participants randomized to either the experimental condition receiving the intervention in addition to CAU or the control condition receiving CAU. The study population are patients with BD I or II in the euthymic phase. The inclusion criteria are 1) diagnosis of BD I or BD II, 2) between the ages of 18-65, 3) four or more supportive sessions in the last year, and 4) only residual depressive or manic symptoms. Patients are excluded if they are in a depressive or manic episode, have current addiction problems or have optimal levels of well-being. Measurements take place at baseline, post-intervention and follow-up 6 and 12 months from baseline. Outcomes of measures include positive well-being, personal recovery, psychopathology, self-compassion, positive relationships, dampening of positive affect and relapse. DISCUSSION: The outlined study will be the first RCT examining the effects of a multicomponent positive psychology intervention for patients with bipolar disorder. Several limitations, including generalizability of the results and possible attrition issues, are discussed in advance. TRIAL REGISTRATION: This study has been registered in the Netherlands Trial Register ( NTR6729 ) on 12 October 2017.

The effect of positive psychology interventions on well-being and distress in clinical samples with psychiatric or somatic disorders: a systematic review and meta-analysis.

BACKGROUND: Although positive psychology interventions (PPIs) show beneficial effects on mental health in non-clinical populations, the current literature is inconclusive regarding its effectiveness in clinical settings. We aimed to examine the effects of PPIs on well-being (primary outcome), depression, anxiety, and stress (secondary outcomes) in clinical samples with psychiatric or somatic disorders. METHODS: A systematic review and meta-analysis was conducted following PRISMA guidelines. PsycINFO, PubMed, and Scopus were searched for controlled studies of PPIs in clinical samples between Jan 1, 1998 and May 31, 2017. Methodological quality of each study was rated. We used Hedges' adjusted g to calculate effect sizes and pooled results using random-effect models. RESULTS: Thirty studies were included, representing 1864 patients with clinical disorders. At post-intervention, PPIs showed significant, small effect sizes for well-being (Hedges' g = 0.24) and depression (g = 0.23) compared to control conditions when omitting outliers. Significant moderate improvements were observed for anxiety (g = 0.36). Effect sizes for stress were not significant. Follow-up effects (8-12 weeks), when available, yielded similar effect sizes. Quality of the studies was low to moderate. CONCLUSION: These findings indicate that PPIs, wherein the focus is on eliciting positive feelings, cognitions or behaviors, not only have the potential to improve well-being, but can also reduce distress in populations with clinical disorders. Given the growing interest for PPIs in clinical settings, more high quality research is warranted as to determine the effectiveness of PPIs in clinical samples. TRIAL REGISTRATION: PROSPERO CRD42016037451.