A narrative review of cross‐sectional and prospective associations between self‐schemas and bipolar disorder

Author(s):  
Yan Yang ◽  
Kathryn Fletcher ◽  
Greg Murray
BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e044824
Author(s):  
Shegaye Shumet ◽  
Bethlehem W/Michele ◽  
Dessie Angaw ◽  
Temesgen Ergete ◽  
Nigus Alemnew

ObjectivesTo assess the magnitude of internalised stigma and associated factors among patients with bipolar disorder attending the outpatient department of Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.DesignInstitution-based cross-sectional study design.SettingAmanuel Mental Specialized Hospital, Addis Ababa, Ethiopia.ParticipantsWe recruited about 418 participants using systematic sampling technique for an interview during the study period.MeasurementData were collected by face-to-face interviews. Internalized Stigma of Mental Illness scale was used to measure internalised stigma. The Rosenberg Self-Esteem Scale and the Oslo-3 Social Support were instruments used to assess the associated factors. Bivariate and multivariate logistic regressions were performed to identify factors associated with the outcome variable. ORs with 95% CI were computed to determine the level of significance.ResultsThe magnitude of internalised stigma was 24.9% (95% CI: 21.2% to 28.9%). In the multivariate analysis, unemployed (adjusted OR (AOR)=2.3, 95% CI: 1.0 to 5.0), unable to read and write (AOR=3.3, 95% CI: 1.05 to 10.7), poor social support (AOR=5.3, 95% CI: 1.9 to 15.0), ≥4 previous hospitalisations due to bipolar disorder (AOR=2.6, 95% CI: 1.1 to 6.1) and low self-esteem (AOR=2.4, 95% CI: 1.1 to 5.1) had a significant association with internalised stigma.ConclusionsOne in four patients with bipolar disorder reported high internalised stigma. Unemployment, low educational status, low self-esteem, poor social support and being hospitalised more than three times before were significantly associated with internalised stigma. Thus, a stigma-reduction programme focusing on self-esteem improvement and psychological health of patients to increase their stigma resistance to counteracting effects of internalised stigma is essential.


2019 ◽  
Vol 53 (5) ◽  
pp. 458-469 ◽  
Author(s):  
YC Janardhan Reddy ◽  
Venugopal Jhanwar ◽  
Rajesh Nagpal ◽  
MS Reddy ◽  
Nilesh Shah ◽  
...  

Objective: The treatment of bipolar disorder is challenging because of its clinical complexity and availability of multiple treatment options, none of which are ideal mood stabilizers. This survey studies prescription practices of psychiatrists in India and their adherence to guidelines. Method: In total, 500 psychiatrists randomly selected from the Indian Psychiatric Society membership directory were administered a face-to-face 22-item questionnaire pertaining to the management of bipolar disorder. Results: For acute mania, most practitioners preferred a combination of a mood stabilizer and an atypical antipsychotic to monotherapy. For acute depression, there was a preference for a combination of an antidepressant and a mood stabilizer over other alternatives. Electroconvulsive therapy was preferred in the treatment of severe episodes and to hasten the process of recovery. Approximately, 50% of psychiatrists prescribe maintenance treatment after the first bipolar episode, but maintenance therapy was rarely offered lifelong. While the majority (85%) of psychiatrists acknowledged referring to various clinical guidelines, their ultimate choice of treatment was also significantly determined by personal experience and reference to textbooks. Limitations: The study did not study actual prescriptions. Hence, the responses to queries in the survey are indirect measures from which we have tried to understand the actual practices, and of course, these are susceptible to self-report and social-desirability biases. This was a cross-sectional study; therefore, temporal changes in responses could not be considered. Conclusion: Overall, Indian psychiatrists seemed to broadly adhere to recommendations of clinical practice guidelines, but with some notable exceptions. The preference for antidepressants in treating depression is contrary to general restraint recommended by most guidelines. Therefore, the efficacy of antidepressants in treating bipolar depression in the context of Indian psychiatrists’ practice needs to be studied systematically. Not initiating maintenance treatment early in the course of illness may have serious implications on the long-term outcome of bipolar disorder.


2016 ◽  
Vol 208 (4) ◽  
pp. 343-351 ◽  
Author(s):  
Daniel J. Martin ◽  
Zia Ul-Haq ◽  
Barbara I. Nicholl ◽  
Breda Cullen ◽  
Jonathan Evans ◽  
...  

BackgroundThe relative contribution of demographic, lifestyle and medication factors to the association between affective disorders and cardiometabolic diseases is poorly understood.AimsTo assess the relationship between cardiometabolic disease and features of depresion and bipolar disorder within a large population sample.MethodCross-sectional study of 145 991 UK Biobank participants: multivariate analyses of associations between features of depression or bipolar disorder and five cardiometabolic outcomes, adjusting for confounding factors.ResultsThere were significant associations between mood disorder features and ‘any cardiovascular disease’ (depression odds ratio (OR) = 1.15, 95% CI 1.12–1.19; bipolar OR = 1.28, 95% CI 1.14–1.43) and with hypertension (depression OR = 1.15, 95% CI 1.13–1.18; bipolar OR = 1.26, 95% CI 1.12–1.42). Individuals with features of mood disorder taking psychotropic medication were significantly more likely than controls not on psychotropics to report myocardial infarction (depression OR = 1.47, 95% CI 1.24–1.73; bipolar OR = 2.23, 95% CI 1.53–3.57) and stroke (depression OR = 2.46, 95% CI 2.10–2.80; bipolar OR = 2.31, 95% CI 1.39–3.85).ConclusionsAssociations between features of depression or bipolar disorder and cardiovascular disease outcomes were statistically independent of demographic, lifestyle and medication confounders. Psychotropic medication may also be a risk factor for cardiometabolic disease in individuals without a clear history of mood disorder.


2017 ◽  
Vol 211 (6) ◽  
pp. 381-387 ◽  
Author(s):  
Paul Roux ◽  
Aurélie Raust ◽  
Anne-Sophie Cannavo ◽  
Valérie Aubin ◽  
Bruno Aouizerate ◽  
...  

BackgroundThe relationship between residual depressive symptoms, cognition and functioning in patients with euthymic bipolar disorder is a subject of debate.AimsTo assess whether cognition mediates the association between residual depressive symptoms and functioning in patients with bipolar disorder who were euthymic.MethodWe included 241 adults with euthymic bipolar disorder in a multicentre cross-sectional study. We used a battery of tests to assess six cognition domains. A path analysis was then used to perform a mediation analysis of the relationship between residual depressive symptoms, cognitive components and functioning.ResultsOnly verbal and working memory were significantly associated with better functioning. Residual depressive symptoms were associated with poorer functioning. No significant relationship was found between residual depressive symptoms and any cognitive component.ConclusionsCognition and residual depressive symptoms appear to be two independent sources of variation in the functioning of people with euthymic bipolar disorder.


2013 ◽  
Vol 151 (2) ◽  
pp. 540-550 ◽  
Author(s):  
Felice Iasevoli ◽  
Alessandro Valchera ◽  
Emanuela Di Giovambattista ◽  
Massimo Marconi ◽  
Maria Paola Rapagnani ◽  
...  

PLoS Medicine ◽  
2021 ◽  
Vol 18 (10) ◽  
pp. e1003782
Author(s):  
Michael Wainberg ◽  
Samuel E. Jones ◽  
Lindsay Melhuish Beaupre ◽  
Sean L. Hill ◽  
Daniel Felsky ◽  
...  

Background Sleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at scale. Here, we aimed to examine the association of accelerometer-derived sleep measures with psychiatric diagnoses and polygenic risk scores in a large community-based cohort. Methods and findings In this post hoc cross-sectional analysis of the UK Biobank cohort, 10 interpretable sleep measures—bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration—were derived from 7-day accelerometry recordings across 89,205 participants (aged 43 to 79, 56% female, 97% self-reported white) taken between 2013 and 2015. These measures were examined for association with lifetime inpatient diagnoses of major depressive disorder, anxiety disorders, bipolar disorder/mania, and schizophrenia spectrum disorders from any time before the date of accelerometry, as well as polygenic risk scores for major depression, bipolar disorder, and schizophrenia. Covariates consisted of age and season at the time of the accelerometry recording, sex, Townsend deprivation index (an indicator of socioeconomic status), and the top 10 genotype principal components. We found that sleep pattern differences were ubiquitous across diagnoses: each diagnosis was associated with a median of 8.5 of the 10 accelerometer-derived sleep measures, with measures of sleep quality (for instance, sleep efficiency) generally more affected than mere sleep duration. Effect sizes were generally small: for instance, the largest magnitude effect size across the 4 diagnoses was β = −0.11 (95% confidence interval −0.13 to −0.10, p = 3 × 10−56, FDR = 6 × 10−55) for the association between lifetime inpatient major depressive disorder diagnosis and sleep efficiency. Associations largely replicated across ancestries and sexes, and accelerometry-derived measures were concordant with self-reported sleep properties. Limitations include the use of accelerometer-based sleep measurement and the time lag between psychiatric diagnoses and accelerometry. Conclusions In this study, we observed that sleep pattern differences are a transdiagnostic feature of individuals with lifetime mental illness, suggesting that they should be considered regardless of diagnosis. Accelerometry provides a scalable way to objectively measure sleep properties in psychiatric clinical research and practice, even across tens of thousands of individuals.


BJPsych Open ◽  
2021 ◽  
Vol 7 (4) ◽  
Author(s):  
Timea Sparding ◽  
Erik Joas ◽  
Caitlin Clements ◽  
Carl M. Sellgren ◽  
Erik Pålsson ◽  
...  

Background Cross-sectional studies have found impaired cognitive functioning in patients with bipolar disorder, but long-term longitudinal studies are scarce. Aims The aims of this study were to examine the 6-year longitudinal course of cognitive functioning in patients with bipolar disorder and healthy controls. Subsets of patients were examined to investigate possible differences in cognitive trajectories. Method Patients with bipolar I disorder (n = 44) or bipolar II disorder (n = 28) and healthy controls (n = 59) were tested with a comprehensive cognitive test battery at baseline and retested after 6 years. We conducted repeated measures ANCOVAs with group as a between-subject factor and tested the significance of group and time interaction. Results By and large, the change in cognitive functioning between baseline and follow-up did not differ significantly between participants with bipolar disorder and healthy controls. Comparing subsets of patients, for example those with bipolar I and II disorder and those with and without manic episodes during follow-up, did not reveal subgroups more vulnerable to cognitive decline. Conclusions Cognitive performance remained stable in patients with bipolar disorder over a 6-year period and evolved similarly to healthy controls. These findings argue against the notion of a general progressive decline in cognitive functioning in bipolar disorder.


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