Brentwood Community Hospital

Hepatitis C is prominently a hepatic disease whose infection ranges in severity from a mild illness to serious lifelong complications. Multiple organ systems in the body may get affected. Depression is an important complication in almost 70% of HCV patients. Objectives: To find out the frequency of depression in chronic hepatitis C infected population of District Sahiwal. Methods: Descriptive cross-sectional study was performed at Gastroenterology Clinic, Haji Abdul Qayyum Hospital, Sahiwal during nine months from September 2020 to June 2021.Total 350 patients were selected by non - probability purposive sampling on the basis of preset inclusion and exclusion criteria. Beck’s Depression Inventory Scale was utilized to assess the patients for depression and correlate it with level of education and occupation. Results: Out of 350 patients of CHC, 56.6% were male and 43.4% were female. 4.3% patients were suffering from borderline depression; 42.3% were suffering from moderate depression; 46.3% were suffering from severe depression and 2.3 % were suffering from extreme depression. Association of depression with household income (p = 0.044) and duration of disease (p = 0.00) were significant while association of depression with level of education (p = 0.655) and occupation (p = 0.219) were not significant. Conclusion: Level of depression in patients of CHC is dangerously high. Level of depression in patients of CHC is strongly dependent on household income and duration of disease and independent of level of education and occupation.

Depression and cognitive disorders, including dementia and mild cognitive impairment, are common disorders in old age. Depression and anxiety are frequent in dementia, causing distress, reducing the quality of life, exacerbating cognitive and functional impairment and increasing caregiver stress. Even mild levels of depression can significantly add to the functional impairment of dementia patients, and the severity of psychopathological and neurological impairments increases with increasing severity of depression with increased disability, poor quality of life and higher mortality. Depressive symptoms may be both a risk factor and a prodrome of dementia and can often be difficult to distinguish in the early stages. Also, depression is often associated with deterioration in cognitive functioning which is not always completely reversible with treatment. Both depressive and anxiety symptoms are common in mild cognitive impairment and can coexist with higher rates of conversion to dementia.

Dr. Martin Luther King Jr. is renowned for his famous freedom from oppression and tyranny speech “I have a dream”, delivered on 28 August 1963, at the Lincoln Memorial, Washington D.C; and his key role in the advancement of civil rights using non-violent civil disobedience based on his Christian values and beliefs. “Now is the time” a quote from that speech, expresses an urgency to change outcomes for disadvantaged citizens of the United States of America and indeed globally. King is widely considered to be the most influential leader of the American civil rights movement, who fought to overturn Jim Crow segregation laws and eliminate social and economic differences between blacks and whites. King’s background and formative years, being raised in a loving home despite the climate of segregation post the abolition of slavery, his marriage and raising a family of his own is reflected. King’s exceptional academic attainments resulting in a Ph.D. at the age of 26 is recognised, however his journey was not without its struggles. Personal and professional issues faced by King are highlighted as well as his exceptional resilience possibly attributed to his Christian faith.

Contemporary HypnosisVolume 23, Issue 4 p. 181-183 Book Review Help for the helper: the psychophysiology of compassion fatigue and vicarious trauma. By: Babette Rothschild with Marjorie Rand. W.W. Norton and Company, New York, London, 2006. Pp 253. ISBN 0-393-70422-X Marcia D. Degun-Mather, Corresponding Author Marcia D. Degun-Mather mdmath@globalnet.co.uk Private Practice, Brentwood, UKPeacehaven, 47 Peartree Lane, Doddinghurst, Brentwood, Essex, CM15 0RJSearch for more papers by this author Marcia D. Degun-Mather, Corresponding Author Marcia D. Degun-Mather mdmath@globalnet.co.uk Private Practice, Brentwood, UKPeacehaven, 47 Peartree Lane, Doddinghurst, Brentwood, Essex, CM15 0RJSearch for more papers by this author First published: 21 November 2006 https://doi.org/10.1002/ch.322AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume23, Issue4December 2006Pages 181-183 RelatedInformation

This paper considers Bayesian approaches to adjusting small area prevalence estimates derived from a community register of the seriously mentally ill, by taking account of underlying variability in latent prevalence between areas. Adjustment of individual prevalence rates to take account of the entire spatial distribution has implications both for epidemiological inference and resource rankings for localities. The more commonly adopted empirical Bayes approaches are here compared with fully Bayes approaches. Fully Bayes methods allow for uncertainty in the prevalence parameters and also permit the inclusion of information from other sources (for example, hospital admissions for mental illness) or from previous studies. The impact of socioeconomic indices on morbidity and its relevance for adjusted prevalence estimates is also considered. A case study is applied to an East London Health Authority, Barking and Havering.