RESUMO
Objectives: To assess the relationships of somatic and anxiety symptoms of depression with functional disability in a sample of older adults with late life depression.Method: Data were analyzed from 78 older adults aged 65-88 with current major depression. Somatic and anxiety symptoms from the 24-item Hamilton Depression Rating Scale (HDRS) were summed to create variables measuring severity of these symptoms. Other symptoms of depression were also assessed using the remaining items of the HDRS. Current physical health burden was assessed using the Functional Comorbidity Index (FCI). Disability was measured with the Late Life Function and Disability Instrument (LLFDI) total limitation score. A linear regression analysis was performed to assess the association of somatic and anxiety symptoms with disability independent of other factors.Results: The model accounted for 26.6% of variance in disability, (F(6,51) = 3.1, p = .01). Somatic (B = -1.9, p = .004) and anxiety (B = -3.7, p = .04) symptoms of depression were significantly associated with disability. Other depressive symptoms and physical illness burden were not associated with disability.Discussion: In older adults with major depression, somatic and anxiety symptoms of depression are associated with disability. Identification and treatment to remission of these symptoms may improve functional outcomes among older depressed adults.
Assuntos
Depressão , Transtorno Depressivo Maior , Idoso , Ansiedade/epidemiologia , Transtornos de Ansiedade/epidemiologia , Efeitos Psicossociais da Doença , Depressão/epidemiologia , Transtorno Depressivo Maior/epidemiologia , HumanosRESUMO
INTRODUCTION: Recruitment, assessment, and longitudinal monitoring of participants for neuroscience studies and clinical trials limit the development of new treatments. Widespread Internet use allows data capture from participants in an unsupervised setting. The Brain Health Registry, a website and online registry, collects data from participants and their study partners. METHODS: The Brain Health Registry obtains self and study partner report questionnaires and neuropsychological data, including the Cogstate Brief Battery, Lumos Labs Neurocognitive Performance Test, and MemTrax Memory Test. Participants provide informed consent before participation. RESULTS: Baseline and longitudinal data were obtained from nearly 57,000 and 28,000 participants, respectively. Over 18,800 participants were referred to, and nearly 1800 were enrolled in, clinical Alzheimer's disease and aging studies, including five observational studies and seven intervention trials. DISCUSSION: Online assessments of participants and study partners provide useful information at relatively low cost for neuroscience studies and clinical trials and may ultimately be used in routine clinical practice.
Assuntos
Encéfalo , Ensaios Clínicos como Assunto , Internet , Estudos Longitudinais , Seleção de Pacientes , Sistema de Registros , Doença de Alzheimer , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Testes Neuropsicológicos , Inquéritos e QuestionáriosRESUMO
We sought to develop and evaluate a composite memory score from the neuropsychological battery used in the Alzheimer's Disease (AD) Neuroimaging Initiative (ADNI). We used modern psychometric approaches to analyze longitudinal Rey Auditory Verbal Learning Test (RAVLT, 2 versions), AD Assessment Schedule - Cognition (ADAS-Cog, 3 versions), Mini-Mental State Examination (MMSE), and Logical Memory data to develop ADNI-Mem, a composite memory score. We compared RAVLT and ADAS-Cog versions, and compared ADNI-Mem to RAVLT recall sum scores, four ADAS-Cog-derived scores, the MMSE, and the Clinical Dementia Rating Sum of Boxes. We evaluated rates of decline in normal cognition, mild cognitive impairment (MCI), and AD, ability to predict conversion from MCI to AD, strength of association with selected imaging parameters, and ability to differentiate rates of decline between participants with and without AD cerebrospinal fluid (CSF) signatures. The second version of the RAVLT was harder than the first. The ADAS-Cog versions were of similar difficulty. ADNI-Mem was slightly better at detecting change than total RAVLT recall scores. It was as good as or better than all of the other scores at predicting conversion from MCI to AD. It was associated with all our selected imaging parameters for people with MCI and AD. Participants with MCI with an AD CSF signature had somewhat more rapid decline than did those without. This paper illustrates appropriate methods for addressing the different versions of word lists, and demonstrates the additional power to be gleaned with a psychometrically sound composite memory score.