Mental health in adolescents: bipolar disorder

2014 ◽  
pp. 2-5
Author(s):  
Anne Duffy
Keyword(s):  
Mental Health ◽  
Bipolar Disorder

scholarly journals A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jakub Tomasik ◽  
Sung Yeon Sarah Han ◽  
Giles Barton-Owen ◽  
Dan-Mircea Mirea ◽  
Nayra A. Martin-Key ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Diagnostic Algorithm ◽  
Health Questionnaire ◽  
Major Depressive ◽  
Blood Biomarker ◽  
Mental Health Questionnaire ◽  
Biomarker Data

AbstractThe vast personal and economic burden of mood disorders is largely caused by their under- and misdiagnosis, which is associated with ineffective treatment and worsening of outcomes. Here, we aimed to develop a diagnostic algorithm, based on an online questionnaire and blood biomarker data, to reduce the misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD). Individuals with depressive symptoms (Patient Health Questionnaire-9 score ≥5) aged 18–45 years were recruited online. After completing a purpose-built online mental health questionnaire, eligible participants provided dried blood spot samples for biomarker analysis and underwent the World Health Organization World Mental Health Composite International Diagnostic Interview via telephone, to establish their mental health diagnosis. Extreme Gradient Boosting and nested cross-validation were used to train and validate diagnostic models differentiating BD from MDD in participants who self-reported a current MDD diagnosis. Mean test area under the receiver operating characteristic curve (AUROC) for separating participants with BD diagnosed as MDD (N = 126) from those with correct MDD diagnosis (N = 187) was 0.92 (95% CI: 0.86–0.97). Core predictors included elevated mood, grandiosity, talkativeness, recklessness and risky behaviour. Additional validation in participants with no previous mood disorder diagnosis showed AUROCs of 0.89 (0.86–0.91) and 0.90 (0.87–0.91) for separating newly diagnosed BD (N = 98) from MDD (N = 112) and subclinical low mood (N = 120), respectively. Validation in participants with a previous diagnosis of BD (N = 45) demonstrated sensitivity of 0.86 (0.57–0.96). The diagnostic algorithm accurately identified patients with BD in various clinical scenarios, and could help expedite accurate clinical diagnosis and treatment of BD.

Association of mitochondrial complex I subunit gene NDUFV2 at 18p11 with bipolar disorder in Japanese and the National Institute of Mental Health pedigrees

2004 ◽  
Vol 56 (7) ◽  
pp. 483-489 ◽  
Author(s):  
Shinsuke Washizuka ◽  
Kazuya Iwamoto ◽  
An-a Kazuno ◽  
Chihiro Kakiuchi ◽  
Kanako Mori ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Complex I ◽  
Mitochondrial Complex I ◽  
Subunit Gene ◽  
Mitochondrial Complex

A Smartphone-Based Self-Management Intervention for Individuals with Bipolar Disorder (LiveWell): User Experiences of the Intervention Change Process (Preprint)

2021 ◽  
Author(s):  
Geneva Kay Jonathan ◽  
Cynthia A Dopke ◽  
Tania Michaels ◽  
Clair R Martin ◽  
Chloe Ryan ◽  
...  
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Medication Adherence ◽  
Behavior Change ◽  
Intervention Development ◽  
Signs And Symptoms ◽  
Self Management ◽  
Health Technologies ◽  
Management Intervention ◽  
Change Framework

BACKGROUND Bipolar disorder is a severe mental illness characterized by recurrent episodes of depressed, elevated and mixed mood states. Pharmacological management combined with adjunctive psychotherapy can decrease symptoms, lower relapse rates and improve quality of life; however, access to psychotherapy is limited. Mental health technologies such as smartphone applications are being studied as a means to increase access to and enhance the effectiveness of adjunctive psychotherapies for bipolar disorder. These studies have demonstrated that individuals with bipolar disorder find this intervention format acceptable, but our understanding of how people utilize and integrate these tools into their behavior change and maintenance processes remains limited. OBJECTIVE The objective of this study was to explore how individuals with bipolar disorder perceive and utilize a smartphone intervention for health behavior change and maintenance. METHODS Individuals with bipolar disorder participated in a pilot study of LiveWell, a smartphone-based self-management intervention. At the end of the study, all participants completed in-depth qualitative exit interviews. The behavior change framework developed to organize the intervention design was used to deductively code behavioral targets and determinants involved in target engagement and inductive coding was used to identify themes not captured by this framework. RESULTS In terms of behavioral targets, participants emphasized the importance of managing mood episode related signs and symptoms. They also discussed the importance of maintaining regular routines, sleep duration, and medication adherence. In addition, participants emphasized that receiving support from a coach as well as seeking and receiving assistance from family, friends and providers was important for managing behavioral targets and staying well. In terms of determinants, participants stressed the important role of monitoring for their behavior change and maintenance efforts. Participants indicated that monitoring facilitated self-awareness and reflection which they felt was valuable for staying well. Some participants also felt that the intervention facilitated learning information necessary for managing bipolar disorder but others felt that the information provided was too basic. CONCLUSIONS In addition to addressing acceptability, satisfaction, and engagement, person-based design of mental health technologies can be used to understand how people experience the impact of these technologies on their behavior change and maintenance efforts. This understanding may then be used to guide ongoing intervention development. In this study, participants discussed their perceptions that managing signs and symptoms and maintaining regular routines, sleep duration, and medication adherence were important for staying well and that monitoring played an important role in these efforts. These perceptions aligned with the intervention's primary behavioral targets and use of a monitoring tool as a core intervention feature. However, participants also highlighted how the intervention encouraged involving family and friends in their change efforts. While content addressing building and engaging supports was included in the intervention, this was not a primary intervention target. Participant feedback thus indicates that developing additional content and tools to address building and engaging social support may be an important avenue for improving LiveWell. Our findings suggest that using a comprehensive behavior change framework to understand participant perceptions of their behavior change and maintenance efforts may help facilitate ongoing intervention development. CLINICALTRIAL NCT02405117

scholarly journals STAGE PERSONA, STAND-UP COMEDY AND MENTAL HEALTH: ‘PUTTING YOURSELF OUT THERE’

2020 ◽  
Vol 5 (2) ◽  
pp. 67-82
Author(s):  
MATT HARGRAVE
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Mental Illness ◽  
Depression And Anxiety ◽  
Stand Up Comedy ◽  
The Subject ◽  
The Relationship

This article addresses the subject of stand-up and mental health through the prism of comic persona, generating new, non-diagnostic discourses around mental illness. The article focuses on British and Australian comedians whose material addresses conditions such as bipolar disorder (John Scott), depression and anxiety (Seymour Mace; Lauren Pattison; Felicity Ward), or feigns the staging of mental collapse (Stewart Lee). Based on the analysis of live events and one-on-one interviews, the essay considers the role that persona plays in mediating the relationship between the comedian and their material, arguing that shaping persona is key to developing practices framed within a poetics of vulnerability.

scholarly journals Demystifying the pathway of assessment and treatment for bipolar disorder – utilising co-production and algorithms to personalise the approach

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S150-S150
Author(s):  
Jessica Nicholls-Mindlin ◽  
Digby Quested ◽  
Matthew Taylor ◽  
Lauren Fuzi ◽  
David Gee
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Mental Health Services ◽  
Health Services ◽  
Public Involvement ◽  
Psychological Intervention ◽  
Patient And Public Involvement ◽  
Service Development ◽  
Post Discharge ◽  
Nice Guideline

AimsTo develop an evidence based, patient centred treatment pathway for people experiencing symptoms of bipolar disorder (BD), modifiable to include local resources.MethodThis project was developed in line with current approaches to service development such as coproduction, with patient and public involvement (PPI) and enhancing personalisation of treatment in medicine. As part of a local initiative, a multi-disciplinary team was brought together to understand and analyse the current local pathway for those affected by BD. It was found that the approach to assessment and management was not consistent between locality teams. Two experts by experience who have a diagnosis of BD were invited to become involved with the development of the pathway. Meetings were set up to enable coproduction and elicit information from those with the diagnosis. The responses provided insight into the effectiveness of different approaches used nationally to inform the methods and resources that are most helpful and appropriate to comprehensively support those with the illness.NICE guideline evidence was used to create two algorithms to streamline the care of those with BD in both primary and secondary care. These algorithms include pharmacological, psychological and social approaches. It also considers the junctions at which referrals should be made and the criteria on which decisions are based.ResultOne algorithm was designed for use in primary care and will be distributed to local GPs to clarify the initial steps for assessment and management of BD and the criteria for referral. A second decision tree will be made available to all doctors working in mental health services with detailed medication options, when they are appropriate and whether additional psychological intervention should be considered e.g. post-discharge groups. Other specialist options such as Early Intervention for Psychosis and Perinatal Mental Health Services were also included. An information pack was created to be offered to all those with a diagnosis or possible diagnosis of BD. This contains useful resources such as skills and exercises that patients may find of benefit, external resources and websites regarding additional support and further information on BD, its nature and management.ConclusionThe approach and resources collated here will help to streamline the management of those with bipolar disorder whilst also ensuring a more consistent approach. The involvement of experts by experience and the incorporation of NICE guidelines ensures a well-rounded and comprehensive set of documents that will be helpful to both clinicians and patients.

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