Bipolar: A creative nonfiction story about mental health and education

2018 ◽  
Author(s):  
Joy Anderson
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Creative Nonfiction ◽  
Narrative Analysis ◽  
Societal Issue ◽  
The Family

This is a creative nonfiction story about a woman’s first encounter with bipolar disorder. Using narrative analysis, this piece seeks to give one perspective of a bigger societal issue and is the beginning of a larger educational piece of the stories of bipolar individuals and the family and friends who support them.

Bipolar: A creative nonfiction story about mental health and education

2018 ◽  
Author(s):  
Joy Anderson
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Creative Nonfiction ◽  
Narrative Analysis ◽  
Societal Issue ◽  
The Family

This is a creative nonfiction story about a woman’s first encounter with bipolar disorder. Using narrative analysis, this piece seeks to give one perspective of a bigger societal issue and is the beginning of a larger educational piece of the stories of bipolar individuals and the family and friends who support them.

Mental Health of Family Members Caring for Individuals Living with Bipolar Disorder

2019 ◽  
Vol 21 (2) ◽  
Author(s):  
Ramatsobane Granny Lekoadi ◽  
Mmasethunya Annie Temane ◽  
Marie Poggenpoel ◽  
Chris Myburgh
Keyword(s):  
Mental Health ◽  
Bipolar Disorder ◽  
Conceptual Framework ◽  
Adult Population ◽  
Family Members ◽  
Mental Health Clinics ◽  
Qualitative Research Design ◽  
Health Clinics ◽  
The Family ◽  
Research Findings

Globally, around a third of the adult population suffers from a mental disorder such as depression, anxiety, schizophrenia and bipolar disorder. Bipolar disorder (BD) is a chronic mental illness which adversely impacts on the lives of the affected individuals and their family members. BD has a strong influence on the family functioning. The burden of care and responsibility makes it challenging for family members to focus on their lives and future. The aim of the study was to develop and describe a conceptual framework to facilitate the empowerment of family members who care for individuals living with BD. A qualitative research design, which is exploratory, descriptive and contextual in nature, was used in this study to explore and describe family members’ mental health when caring for individuals living with BD. The researcher developed and described a conceptual framework based on the research findings of phenomenological interviews with a purposefully selected sample of family members who care for individuals living with BD. The results show that family members were disempowered when caring for individuals living with BD. The central concept of the conceptual framework was identified based on the results as the facilitation of empowerment of family members who care for individuals living with BD. The researcher recommends that the conceptual framework to facilitate the empowerment of family members who care for individuals living with BD be implemented at the mental health clinics. It is also recommended that the conceptual framework be incorporated into the curriculum of psychiatric nursing.

Mental Health of War-Affected Youth in Two Conflicts: The Role of the Family, Community and Classroom

2008 ◽  
Author(s):  
Ivelina Borisova ◽  
Theresa Betancourt ◽  
Wietse Tol ◽  
Ivan Komproe ◽  
Mark Jordans ◽  
...  
Keyword(s):  
Mental Health ◽  
The Family

Where is the family in global mental health?

2018 ◽  
Vol 36 (2) ◽  
pp. 144-147 ◽  
Author(s):  
James L. Griffith ◽  
Jessica Keane
Keyword(s):  
Mental Health ◽  
Global Mental Health ◽  
The Family

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.

Mental health in relation to the family

Public Health ◽  
1947 ◽  
Vol 61 ◽  
pp. 123-128
Author(s):  
C.O. Stallybrass
Keyword(s):  
Mental Health ◽  
The Family

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
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