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John R. M. Copeland

Researcher at University of Liverpool

Publications -  124
Citations -  13696

John R. M. Copeland is an academic researcher from University of Liverpool. The author has contributed to research in topics: Dementia & Depression (differential diagnoses). The author has an hindex of 51, co-authored 124 publications receiving 12937 citations. Previous affiliations of John R. M. Copeland include Liverpool Hospital & University of Amsterdam.

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Journal Article

Prevalence of dementia and major subtypes in Europe : A collaborative study of population-based cohorts

TL;DR: Dementia is more prevalent in women, and AD is the main contributor to the steep increase of prevalence with age, so a large variation across studies was observed, as well as a difference in prevalence between men and women that was age dependent.
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Review of community prevalence of depression in later life.

TL;DR: A systematic review of community-based studies of the prevalence of depression in later life (55+) found consistent evidence for higher prevalence rates for women and among older people living under adverse socio-economic circumstances.
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Rates and risk factors for dementia and Alzheimer’s disease Results from EURODEM pooled analyses

TL;DR: Female gender, current smoking, and low levels of education, and current smoking increased the risk of AD significantly, while head trauma was not a risk factor for AD, and smoking did not protect against AD.
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The Prevalence of Dementia in Europe: A Collaborative Study of 1980–1990 Findings

TL;DR: Age- and gender-specific estimates of the prevalence of dementia in Europe and differences in prevalence across countries were pooled and re-analysed original data of prevalence studies of dementia carried out in some European countries between 1980 and 1990.
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A semi-structured clinical interview for the assessment of diagnosis and mental state in the elderly: the Geriatric Mental State Schedule: I. Development and reliability

TL;DR: A standardized, semi-structured interview for examining and recording the mental state in elderly subjects is described, which allows the classification of patients by symptom profile and can demonstrate changes in that profile over time.