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Neuropsychiatric Symptoms in mild co...

Kirk, Laura Nelson.

Neuropsychiatric Symptoms in mild cognitive impairment: Development and testing of a conceptual model.

レコード種別:	コンピュータ・メディア : 単行資料
タイトル / 著者:	Neuropsychiatric Symptoms in mild cognitive impairment: Development and testing of a conceptual model./
著者:	Kirk, Laura Nelson.
記述:	202 p.
注記:	Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1568.
含まれています:	Dissertation Abstracts International69-03B.
主題:	Gerontology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308092
国際標準図書番号 (ISBN):	9780549542414

Neuropsychiatric Symptoms in mild cognitive impairment: Development and testing of a conceptual model.
Kirk, Laura Nelson.

Neuropsychiatric Symptoms in mild cognitive impairment: Development and testing of a conceptual model. - 202 p.

Source: Dissertation Abstracts International, Volume: 69-03, Section: B, page: 1568.

Thesis (Ph.D.)--University of Minnesota, 2008.

Mild cognitive impairment (MCI) represents a theorized transitional stage between normal cognitive aging and dementia. Individuals with MCI are thought to be at increased risk for the development of dementia, particularly Alzheimer's disease (AD). Behavioral and psychological disturbances occur concurrently with cognitive disturbance in AD, and recent evidence suggests that a significant proportion of persons with MCI also suffer from such symptoms, with depression, apathy, and/or anxiety predominating (Cummings & Zhong, 2006). As the occurrence of such symptoms is the cause of considerable discomfort and distress for individuals and families, they represent an important target for intervention strategies.

ISBN: 9780549542414Subjects--Topical Terms:

168436
Gerontology.

Neuropsychiatric Symptoms in mild cognitive impairment: Development and testing of a conceptual model.
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500 $a Advisers: Marsha L. Lewis; Joseph Gaugler.
502 $a Thesis (Ph.D.)--University of Minnesota, 2008.
520 $a Mild cognitive impairment (MCI) represents a theorized transitional stage between normal cognitive aging and dementia. Individuals with MCI are thought to be at increased risk for the development of dementia, particularly Alzheimer's disease (AD). Behavioral and psychological disturbances occur concurrently with cognitive disturbance in AD, and recent evidence suggests that a significant proportion of persons with MCI also suffer from such symptoms, with depression, apathy, and/or anxiety predominating (Cummings & Zhong, 2006). As the occurrence of such symptoms is the cause of considerable discomfort and distress for individuals and families, they represent an important target for intervention strategies.
520 $a The purpose of this study was the development, testing, and subsequent refinement of the Neuropsychiatric Symptoms in MCI (NPSMCI) model; a biopsychosocially-based model synthesized from the existing literature, and intended to assist clinicians in the identification of individuals with mild cognitive impairment who are most likely to experience symptoms of depression, apathy, and/or anxiety. The ability of a portion of the model to differentiate between persons with and without these symptoms was examined by fitting simple and multivariable logistic regression models to data from a clinic-based sample of 300 individuals followed at the Mayo Clinic Alzheimer's Disease Research Center (ADRC). Factors within the biological and sociodemographic domains of the model were tested and revealed that subject age and the presence of an APOE &egr;4 allele were associated with the occurrence of depression and anxiety, while living situation (alone versus with others) and degree of comorbid illness were associated with the occurrence of apathy.
520 $a Model refinement entailed an examination of subject history and appraisal through semi-structured interviews with a sub-sample of individuals with MCI and depression, apathy, and/or anxiety. Analysis of interview transcripts revealed very little evidence of neuropsychiatric symptoms. Subjects exhibited limited knowledge of the causes and consequences of MCI and expressed surprisingly few concerns about the future. Finally, the emergence of the variables length of time since diagnosis and stability of symptoms offers guidance for model refinement.
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