Laura Fusar-Poli, Fabio Panariello, Katherine Berry, Matteo Rocchetti, Letizia Casiraghi, Matteo Malvezzi, Fabrizio Starace, Manuel Zamparini, Cristina Zarbo, Giovanni de Girolamo, DiAPAson Consortium
{"title":"Working alliance in treating staff and patients with Schizophrenia Spectrum Disorder living in Residential Facilities","authors":"Laura Fusar-Poli, Fabio Panariello, Katherine Berry, Matteo Rocchetti, Letizia Casiraghi, Matteo Malvezzi, Fabrizio Starace, Manuel Zamparini, Cristina Zarbo, Giovanni de Girolamo, DiAPAson Consortium","doi":"10.1111/bjc.12450","DOIUrl":"10.1111/bjc.12450","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Working Alliance (WA) is important in the care of patients with Schizophrenia Spectrum Disorders (SSD). This study aims to determine which sociodemographic and clinical factors are associated with WA, as assessed by patients and staff members in Residential Facilities (RFs), and may predict WA dyads' discrepancies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Three hundred and three SSD patients and 165 healthcare workers were recruited from 98 RFs and characterized for sociodemographic features. WA was rated by the Working Alliance Inventory (WAI) for patients (WAI-P) and staff members (WAI-T). SSD patients were assessed for the severity of psychopathology and psychosocial functioning.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Pearson's correlation revealed a positive correlation (<i>ρ</i> = .314; <i>p</i> < .001) between WAI-P and WAI-T ratings. Linear regression showed that patients with higher education reported lower WAI-P ratings (<i>β</i> = −.50, <i>p</i> = .044), while not being engaged in work or study was associated with lower WAI-T scores (<i>β</i> = −4.17, <i>p</i> = .015). A shorter lifetime hospitalization was associated with higher WAI-P ratings (<i>β</i> = 5.90, <i>p</i> = .008), while higher psychopathology severity negatively predicted WAI-T (<i>β</i> = −.10, <i>p</i> = .002) and WAI-P ratings (<i>β</i> = −.19, <i>p</i> < .001). Better functioning level positively foresaw WAI-T (<i>β</i> = .14, <i>p</i> < .001) and WAI-P ratings (<i>β</i> = .12, <i>p</i> < .001). Regarding discrepancies, staff members' age was associated with higher dyads discrepancy in Total scale and Agreement subscale scores, which were also associated with more severe negative symptoms, while patients' age was negatively correlated to Relationship subscale discrepancy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study provides insight into the factors that influence WA in SSD patients and health workers in RFs. The findings address interventions to improve WA and ultimately patient outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 2","pages":"156-177"},"PeriodicalIF":3.1,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12450","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138812420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting treatment response using machine learning: A registered report","authors":"Kristin Jankowsky, Lina Krakau, Ulrich Schroeders, Rüdiger Zwerenz, Manfred E. Beutel","doi":"10.1111/bjc.12452","DOIUrl":"10.1111/bjc.12452","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively screening for patients at risk of low treatment response, gain more knowledge about risk factors and to evaluate treatments, accurate insights about predictors of treatment response in naturalistic inpatient samples are needed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We compared the performance of different machine learning algorithms in predicting treatment response, operationalized as a substantial reduction in symptom severity as expressed in the Patient Health Questionnaire Anxiety and Depression Scale. To achieve this goal, we used different sets of variables—(a) demographics, (b) physical indicators, (c) psychological indicators and (d) treatment-related variables—in a naturalistic inpatient sample (<i>N</i> = 723) to specify their joint and unique contribution to treatment success.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>There was a strong link between symptom severity at baseline and post-treatment (<i>R</i><sup>2</sup> = .32). When using all available variables, both machine learning algorithms outperformed the linear regressions and led to an increment in predictive performance of <i>R</i><sup>2</sup> = .12. Treatment-related variables were the most predictive, followed psychological indicators. Physical indicators and demographics were negligible.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Treatment response in naturalistic inpatient settings can be predicted to a considerable degree by using baseline indicators. Regularization via machine learning algorithms leads to higher predictive performances as opposed to including nonlinear and interaction effects. Heterogenous aspects of mental health have incremental predictive value and should be considered as prognostic markers when modelling treatment processes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 2","pages":"137-155"},"PeriodicalIF":3.1,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12452","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138819293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting treatment response using machine learning: A registered report.","authors":"Kristin Jankowsky, Lina Krakau, Ulrich Schroeders, Rüdiger Zwerenz, Manfred E Beutel","doi":"10.1111/bjc.12452","DOIUrl":"https://doi.org/10.1111/bjc.12452","url":null,"abstract":"<p><strong>Objective: </strong>Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively screening for patients at risk of low treatment response, gain more knowledge about risk factors and to evaluate treatments, accurate insights about predictors of treatment response in naturalistic inpatient samples are needed.</p><p><strong>Methods: </strong>We compared the performance of different machine learning algorithms in predicting treatment response, operationalized as a substantial reduction in symptom severity as expressed in the Patient Health Questionnaire Anxiety and Depression Scale. To achieve this goal, we used different sets of variables-(a) demographics, (b) physical indicators, (c) psychological indicators and (d) treatment-related variables-in a naturalistic inpatient sample (N = 723) to specify their joint and unique contribution to treatment success.</p><p><strong>Results: </strong>There was a strong link between symptom severity at baseline and post-treatment (R<sup>2</sup> = .32). When using all available variables, both machine learning algorithms outperformed the linear regressions and led to an increment in predictive performance of R<sup>2</sup> = .12. Treatment-related variables were the most predictive, followed psychological indicators. Physical indicators and demographics were negligible.</p><p><strong>Conclusions: </strong>Treatment response in naturalistic inpatient settings can be predicted to a considerable degree by using baseline indicators. Regularization via machine learning algorithms leads to higher predictive performances as opposed to including nonlinear and interaction effects. Heterogenous aspects of mental health have incremental predictive value and should be considered as prognostic markers when modelling treatment processes.</p>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138812408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah Giles, Elizabeth K. Hughes, David Castle, Zoe Jenkins, Andrea Phillipou, Susan Rossell, Gemma Urbini, Matthew Fuller-Tyszkiewicz, Isabel Krug
{"title":"A new network analysis model in anorexia nervosa patients based on self-reported eating disorder symptoms, psychological distress, and cognitive flexibility","authors":"Sarah Giles, Elizabeth K. Hughes, David Castle, Zoe Jenkins, Andrea Phillipou, Susan Rossell, Gemma Urbini, Matthew Fuller-Tyszkiewicz, Isabel Krug","doi":"10.1111/bjc.12451","DOIUrl":"10.1111/bjc.12451","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Cognitive flexibility and psychological distress, such as depression and anxiety, have been implicated in the aetiology of Anorexia Nervosa (AN). Despite the known associations between eating disorder (ED) symptoms, depression, anxiety, and cognitive flexibility, the specific pathways that connect these constructs are unclear. We therefore used network analysis to examine the relationship between these symptoms in an AN sample.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>One hundred and ninety-three treatment-seeking individuals diagnosed with AN (95.6% female, <i>M</i> = 26.89 [SD = 9.45] years old) completed self-report measures assessing depression, anxiety, cognitive flexibility, and ED symptoms. To determine each symptom's influence in the network, we calculated the expected influence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The two relationships with the greatest edges were those between (1) weight/shape concerns and eating/dietary restraint and (2) weight/shape concerns and psychological distress (a measure that combined depression and anxiety). Cognitive flexibility was not connected to weight/shape concerns but had negative partial associations with eating concerns/dietary restraint and psychological distress. There was also a slight, non-zero connection between eating concerns/dietary restraint and psychological distress.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The findings underscore the importance of weight/shape, eating/dietary concerns, and psychological distress in the AN network and suggest that addressing cognitive flexibility may be a useful target for eating concerns/dietary restraint and psychological distress. Future studies assessing the longitudinal course of psychopathology within the AN network structure may help in identifying whether specific symptoms function as risk factors or maintaining factors for this co-occurrence.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 1","pages":"118-134"},"PeriodicalIF":3.1,"publicationDate":"2023-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12451","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138578895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roanne V. F. J. Glas, Roy E. de Kleijn, Eline J. Regeer, Ralph W. Kupka, Manja A. Koenders
{"title":"Do you feel up when you go up? A pilot study of a virtual reality manic-like mood induction paradigm","authors":"Roanne V. F. J. Glas, Roy E. de Kleijn, Eline J. Regeer, Ralph W. Kupka, Manja A. Koenders","doi":"10.1111/bjc.12445","DOIUrl":"10.1111/bjc.12445","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>In order to understand the working mechanisms of mania, it is necessary to perform studies during the onset of manic (-like) mood states. However, clinical mania is difficult to examine experimentally. A viable method to study manic mood like states is mood induction, but mood induction tasks thus far show variable effectiveness.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this pilot study, a new paradigm to induce mood through virtual reality (VR) is examined. Both state characteristics, namely changes in emotion, and trait characteristics, such as high and low scores on the hypomanic personality scale (HPS), were measured in 65 students. These students participated in either a neutral VR mood induction or an activating VR mood induction in which excitement, goal directedness, and tension (being aspects of mania) were induced. All participants performed a risk-taking behavioural task, Balloon Analogue Risk Task (BART).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The experimental VR task induced excitement and tension. In participants with higher sensitivity to hypomanic personality (HPS), irritation increased in response to activation whereas it decreased in the low HPS group, and excitement increased more steeply in the low HPS group. There were no effects on the behavioural task.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The VR task is effective in inducing relevant state aspects of hypomania and is suitable as a paradigm for future experimental studies. Activation of dual affective states (excitement and tension) is an essential aspect in manic-like mood induction paradigms.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 1","pages":"105-117"},"PeriodicalIF":3.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12445","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136399746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COVID-19 and mental health in the UK: Depression, anxiety and insomnia and their associations with persistent physical symptoms and risk and vulnerability factors","authors":"Lin Yu, Lance M. McCracken","doi":"10.1111/bjc.12446","DOIUrl":"10.1111/bjc.12446","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Mental health problems and persistent COVID-19 symptoms were prevalent in the context of COVID-19. However, despite the long-observed association between physical symptoms and mental health problems, such association has not been adequately examined in the context of COVID-19. Our understanding of wider patterns of risk and vulnerability factors for mental health also remains limited. This study investigated the associations between general mental health, and persistent physical symptoms, and additional risk and vulnerability factors in the context of COVID-19.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Two hundred fourteen adults, living in the UK, recruited via social media, completed the online survey and were included in the analyses. Correlation and regression analyses were conducted to examine the associations of persistent physical symptoms and risk and vulnerability factors with measures of general mental health including depressive symptoms, anxiety and insomnia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>78.5% of the participants reported between 1 and 26 persistent symptoms, and about 28%–92% of them associated these symptoms with COVID-19 infection. Persistent physical symptoms were uniquely associated with all measures of mental health, <i>β</i> = .19–.32. Mental health history and worries were the most prominent risk factors, |<i>β</i>| = .12–.43.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>People who experience more persistent physical symptoms post-COVID-19 have poorer mental health. It may be important to consider and discuss the recovery from COVID-19 beyond a negative COVID-19 test. Multidisciplinary interventions that address the complex impact of COVID-19 for people with long COVID are needed.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 1","pages":"92-104"},"PeriodicalIF":3.1,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12446","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71487565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amitai Abramovitch, Akuekegbe Uwadiale, Anthony Robinson
{"title":"A randomized clinical trial of a gamified app for the treatment of perfectionism","authors":"Amitai Abramovitch, Akuekegbe Uwadiale, Anthony Robinson","doi":"10.1111/bjc.12444","DOIUrl":"10.1111/bjc.12444","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Perfectionism is a common transdiagnostic problem that may lead to substantial distress and functional impairments. Cognitive behavioural therapy (CBT) is an effective treatment for perfectionism. However, the existing significant barriers to access and utilization of mental health services, including among college students, demand the development of low-intensity accessible interventions. The aim of the present study was to evaluate the effectiveness of a low-intensity CBT-based self-help gamified app developed specifically for perfectionism in a sample of college students.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Participants completed assessments of perfectionism, related symptoms, emotional burden and functional impairments at pretreatment, posttreatment and at one-month follow-up.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Compared with the waitlist condition (<i>n</i> = 35), the app condition (<i>n</i> = 35) demonstrated a significant and greater reduction in perfectionism, obsessive-compulsive symptoms, functional impairments and subjective ratings of emotional burden.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Results suggest that a brief, daily app-based game-like intervention targeting maladaptive perfectionistic beliefs may be a viable, low-cost alternative to traditional CBT treatments for vulnerable populations on college campuses.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 1","pages":"73-91"},"PeriodicalIF":3.1,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12444","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49683680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carla Nardelli, George A. Bonanno, Shuquan Chen, Catherine Bortolon
{"title":"Emotion regulation flexibility and psychosis: A longitudinal study disentangling components of flexibility in psychosis-proneness","authors":"Carla Nardelli, George A. Bonanno, Shuquan Chen, Catherine Bortolon","doi":"10.1111/bjc.12443","DOIUrl":"10.1111/bjc.12443","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Flexibility in self-regulation has emerged as an important component of mental health. Previous findings found that deficits in two components of regulatory flexibility were linked cross-sectionally to psychosis-proneness. We aimed to replicate and extend these findings longitudinally.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We measured psychosis-proneness and components of emotion regulation flexibility (i.e. context sensitivity, repertoire and feedback) at two time points with three months in between.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Two flexibility components predicted psychotic-like experiences. The ability to detect the absence of contextual cues was implicated in both positive and negative dimensions but through opposite pathways. Expressive suppression ability—a subcomponent of repertoire-predicted positive symptoms. None of the flexibility components predicted distress related to the symptoms.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The current study provides further evidence on the implication of emotion regulation flexibility in the longer-term maintenance of psychotic-like experiences. Future studies can advance this work further by evaluating possible bidirectional relationships between psychotic-like experiences and deficits in emotion regulation flexibility.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 1","pages":"54-72"},"PeriodicalIF":3.1,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41241909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chloe Woods, Thomas Richardson, Emma Palmer-Cooper
{"title":"Are dysfunctional attitudes elevated and linked to mood in bipolar disorder? A systematic review and meta-analysis","authors":"Chloe Woods, Thomas Richardson, Emma Palmer-Cooper","doi":"10.1111/bjc.12442","DOIUrl":"10.1111/bjc.12442","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Dysfunctional attitudes (DA) are higher in depression; however, less is understood about their role in bipolar disorder (BD). This paper aimed to explore the presence of DA in BD in comparison to clinical and non-clinical groups. Also explored were the associations between DA and mood states of depression, mania or euthymia in BD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A systematic review and meta-analysis were conducted. A total of 47 articles were included in the systematic review of which 23 were included in the meta-analysis. The quality of each study was rated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The meta-analysis showed significantly higher DA in BD than healthy controls (<i>d</i> = .70). However, no difference was observed between BD and unipolar participants (<i>d</i> = −.16). When reviewing mood state within BD, a significant mean difference was found between DA scores for euthymic and depressed participants (<i>d</i> = −.71), with those who were depressed scoring higher. Three studies found that psychological therapies significantly reduce DA in BD (d = −.38).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These findings imply not only that DA are both a characteristic of BD that is not as prevalent in healthy populations but also that a depressed mood state is associated with increased severity. This implies that DA could possibly go ‘offline’ when mood symptoms are not present. Psychological therapies appear to reduce DA in BD. Implications for future research as well as practice-based implications are expanded on in the discussion.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48211,"journal":{"name":"British Journal of Clinical Psychology","volume":"63 1","pages":"16-53"},"PeriodicalIF":3.1,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/bjc.12442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41170527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}