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Carmel B. Dyer

Researcher at University of Texas Health Science Center at Houston

Publications -  82
Citations -  2970

Carmel B. Dyer is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Poison control & Elder abuse. The author has an hindex of 30, co-authored 81 publications receiving 2771 citations. Previous affiliations of Carmel B. Dyer include Baylor University & University of Texas at Austin.

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Elder self-neglect and abuse and mortality risk in a community-dwelling population.

TL;DR: Examination of the relationship of elder self-neglect or abuse reported to social services agencies with all-cause mortality among a community-dwelling elderly population found increased mortality risks were not restricted to those with the lowest levels of cognitive or physical function.
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The High Prevalence of Depression and Dementia in Elder Abuse or Neglect

TL;DR: The risk factors for mistreatment of older people include age, race, low income, functional or cognitive impairment, a history of violence, and recent stressful events.
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Progress in elder abuse screening and assessment instruments.

TL;DR: There is much to be done in terms of achieving consensus on what constitutes an appropriate screen or assessment instrument for detecting EM, and effort must be focused on instruments that can be used for brief, rapid screenings and those that can been used for more‐detailed diagnostic assessments.
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Self-Neglect Among the Elderly: A Model Based on More Than 500 Patients Seen by a Geriatric Medicine Team

TL;DR: A model of self-neglect was developed wherein executive dyscontrol leads to functional impairment in the setting of inadequate medical and social support and will impart a better understanding of the pathways to self-Neglect and provide clinicians and public service workers with more effective prevention and intervention strategies.
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Quantifying the Problem of Abuse and Neglect in Adults—Analysis of a Statewide Database

TL;DR: There is a lack of precise estimates of the magnitude of the problem and the variability in risk for different types of mistreatment depending on such factors as age and gender.