Unit 7 epidemiology bipolar disorder
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Bipolar disorder has a lifetime prevalence of approximately 1-3% according to population studies. The average age of onset is 25 years old, though onset can range from 12 to 65+ years old. Bipolar disorder is more common in urban populations and among those who are cohabiting, divorced or never married. A family history of bipolar disorder is also a risk factor. Earlier epidemiological studies found the prevalence of bipolar disorder did not differ by sex or ethnicity.
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![Lifetime Prevalence of Bipolar Disorder by Age Source: Kessler RC et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 62:593-602. ,[object Object],[object Object],[object Object],Total (%) 18-29 (%) 30-44 (%) 45-59 (%) 60+ Bipolar I-II disorders 3.9 5.9 4.5 3.5 1.0](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Word-of-mouth is storytelling—real customer experiences related by the real people that have them—and it influences up to 50% of purchase decisions today. Word-of-mouth becomes marketing (WOMM) when you harness the power of this inherent behavior, infuse it with intention, measure it, and use it to empower your brand. And in today’s social environment, doing so strategically is more important than ever.
Panic disorder
THERE ARE LOTS OF DISORDERS IN MENTAL HEALTH ASPECT.THIS PRESENTATION'S FOCUS IS ON PANIC DISORDER AND ITS MANAGEMENT.THIS CLASS IS IN ASPECT OF PSYCHIATRIC NURSING STUDENTS.
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Very few studies on mental health have been carried out with respect to Cameroonian prisons with none addressing depression amongst inmates. The aim of this study was to investigate the prevalence, associated risk factors and effects of depression amongst inmates in Buea central prison. A total of 296 inmates including 254 adult male, 22 females and 20 minor male were selected for the study. Data on depression symptoms was collected using PHQ 9 and semi structured questionnaires and all inmates were diagnosed classified as not depressed, mild, moderate and severe depression based on PHQ 9 scores of 0 4, 5 9, 10 19 and 20 27 respectively. Result revealed that the prevalence of depression in Buea central prison is 93.2 and the prevalence of mild, moderate and severe depression are 20.9 , 58.7 and 13.5 respectively. Identified risk factors such as missing love ones, being detained, lack of psychosocial support and low economic status were significantly higher in depressed than non depressed inmates P value 0.0002, 0.001, 0.006, and 0.029 respectively . Three identified effects of depression such as hyper anger, frequent tiredness and low self esteem significant were significantly higher in depressed than non depressed inmates P = 0.002, 0.0115, 0,019 respectively .Our findings revealed that the prevalence of depression in Buea central prison is high and stands at 93.2 . Missing love ones, being detained, lack of psychosocial support and low economic status are risk factors of depression and hyper anger, frequent tiredness and low self esteem are the effects associated with depression in Buea central prison. Binwi Florence | Sylvester Ndeso Atanga (AP) | Dr. Ambei Moses Chu | Endii Negatah Abungwah "Prevalence, Associated Risk Factors and Effects of Depression among Prison Inmates: Case of Buea Central Prison South West Region-Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29349.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/29349/prevalence-associated-risk-factors-and-effects-of-depression-among-prison-inmates-case-of-buea-central-prison-south-west-region-cameroon/binwi-florence
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Not only is the coronavirus crisis a natural laboratory of stress offering health and social care services a unique historical opportunity to observe its impact on entire populations around the world, but the responses to the crisis by international health authorities, such as the WHO, along with national and local educational institutions and health care and social services, are creating an unprecedented and unpredictable environment for children and youth. This hostile new environment for growth and development is marked by the sudden and unpredictable imposition of confinement and social isolation, cutting off or limiting opportunities for the development of cognitive abilities, peer relationships, and social skills, while exposing vulnerable children and youth to depriving, negligent, or even abusive home environments.
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This exceptional set of circumstances—in response not only to the biomedical and populational health aspects but also in constructing policies for entire societies—is creating an “experimental childhood” for billions of children and youth around the world. With its commitment to the social determinants of health and mental health, notably in light of the monumental Adverse Childhood Events (ACE) studies (Felitti & Anda, 2010), social psychiatry and global mental health in partner with child and family psychiatry and allied professions must now consider their roles for the future of these “experimental children” around the world. The parameters for observing the conditions of this coronavirus-induced syndemic in the family and in society, along with recommendations for social psychiatric interventions, and prospective paediatric, psychological, and social studies will be outlined.
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This annotated bibliography summarizes research on the bio-psycho-social aspects of bipolar disorder. Key findings include:
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2. Social factors like interpersonal problems, occupational issues, and early onset may predict higher suicide risk. Mortality is also elevated compared to the general population.
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