99 research outputs found

    Health promotion intervention for people with early-stage dementia: A quasi-experimental study

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    Introduction: With the limited advancements in medical treatment, there is a growing need for supporting people with early‐stage dementia adjust to their diagnosis and improve their quality of life. This study aimed to investigate the effects of a 12‐week health promotion course for people with early‐stage dementia. Methods: Quasi‐experimental, single group, pretest‐posttest design. A total of 108 persons with dementia participated in this study, and for each participant, a carer was interviewed. The 12‐week health promotion intervention consisted of 2‐hr sessions at weekly intervals. Outcome measures were cognition, measured by Mini‐Mental State Examination, personal, and instrumental activities of daily living (P‐ADL and I‐ADL), measured by Lawton and Brody's Physical Self‐Maintenance Scale and Instrumental Activities of Daily Living Scale, self‐rated health, measured by the European Quality of life Visual Analogue Scale, depressive symptoms, measured by the Cornell Scale for Depression in Dementia, and neuropsychiatric symptoms, measured by The Neuropsychiatric Inventory. Assessments were conducted at baseline and at follow‐up 1–2 months postintervention. Results: The results demonstrate a small but statistically significant improvement in depressive symptoms (p = .015) and in self‐rated health (p = .031). The results also demonstrated a small statistically significant decline in the participants’ I‐ADL (p = .007). The participants’ cognitive function, P‐ADL, and neuropsychiatric symptoms were stable during the 4‐month follow‐up. Conclusion: This study demonstrates promising results with regard to the benefit of attending a 12‐week health promotion intervention in promoting health and well‐being in people with early‐stage dementia. With the majority of participants with early‐stage dementia living at home without any healthcare services in a vulnerable stage of the condition, this study makes an important contribution to highlighting the need for, and benefit of, educational approaches for this population.publishedVersio

    Frequency and Course of Mild Cognitive Impairment in a Multiethnic Community

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    Objective To examine incidence rates and antecedents of mild cognitive impairment (MCI) and Alzheimer's disease (AD) among diverse elders without dementia at the initial visit, and to examine the characteristics of elders with MCI who reverted to normal on follow-up examination. Methods A total of 2,364 Caribbean Hispanic, black, or non-Hispanic white subjects, aged 65 or older, who were free of dementia at initial evaluation were followed up every 18 to 24 months. Incidence rate of MCI and AD was determined by examination of neurological, medical, psychiatric, and neuropsychological function. Results Over 10,517 person-years, 21% of normal elderly subjects progressed to MCI (annual incidence rate, 5.1%; 95% confidence interval, 4.6–5.6%). Of those with MCI initially, 21.8% were subsequently diagnosed with AD (annual incidence rate, 5.4%; 95% confidence interval, 4.7–6.3%), 47% remained unchanged, and 31% reverted to normal. Those with MCI were 2.8 times more likely to experience development of AD than normal elderly subjects. MCI with impairment in memory and at least one other cognitive domain was associated with greatest risk for progression to AD and was also least likely to revert to normal at follow-up. Consistent diagnosis of MCI or incident probable or possible AD was 60% sensitive and 94% specific for the pathological diagnosis of AD. Interpretation Impaired memory and language were useful predictors of transition to AD. Reversion to normal from MCI was frequent, but those with impairment in more than one cognitive domain were more likely to progress or remain impaired than those with single-domain impairment. Clinical diagnosis of MCI does not always predict AD neuropathology. Ann Neurol 200

    Behavioral Interventions In Six Dimensions Of Wellness That Protect The Cognitive Health Of Community-Dwelling Older Adults: A Systematic Review

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    OBJECTIVES: To systematically identify, appraise, and summarize research on the effects of behavioral interventions to prevent cognitive decline in community-dwelling older adults using a holistic wellness framework. DESIGN: Systematic review of randomized controlled trials that tested the effectiveness of behavioral interventions within each of the six dimensions of wellness: occupational, social, intellectual, physical, emotional and spiritual. Databases searched included PubMed MEDLINE, EMBASE, CENTRAL, PsycINFO, CINAHL, ALOIS, and The Grey Literature Report through July 1, 2014. SETTING: Community. PARTICIPANTS: Individuals aged 60 and older (N = 6,254). MEASUREMENTS: Consolidated Standards of Reporting Trials Checklist. RESULTS: Eighteen studies met the inclusion criteria. Interventions in the physical dimension of wellness were most common (11 studies); interventions in the spiritual dimension were least common (0 studies). Fifty-nine different measures were used to measure multiple cognitive domains, with memory being the most commonly measured (17 studies) and language being the least commonly measured (5 studies). Fifty percent of the interventions examined in the 18 studies demonstrated statistically significant outcomes on at least one cognitive measure. Interventions in the intellectual dimension that examined cognitively stimulating activities using pen and paper or a computer represented the greatest percentage of statistically significant outcomes. CONCLUSION: Intellectual and physical interventions were most studied, with varied results. Future research is needed using more-consistent methods to measure cognition. Researchers should include the National Institutes of Health Toolbox Cognition Battery among measurement tools to facilitate effective data harmonization, pooling, and comparison

    The role of dyadic cognitive report and subjective cognitive decline in early ADRD clinical research and trials: Current knowledge, gaps, and recommendations.

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    Efficient identification of cognitive decline and Alzheimer's disease (AD) risk in early stages of the AD disease continuum is a critical unmet need. Subjective cognitive decline is increasingly recognized as an early symptomatic stage of AD. Dyadic cognitive report, including subjective cognitive complaints (SCC) from a participant and an informant/study partner who knows the participant well, represents an accurate, reliable, and efficient source of data for assessing risk. However, the separate and combined contributions of self- and study partner report, and the dynamic relationship between the two, remains unclear. The Subjective Cognitive Decline Professional Interest Area within the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment convened a working group focused on dyadic patterns of subjective report. Group members identified aspects of dyadic-report information important to the AD research field, gaps in knowledge, and recommendations. By reviewing existing data on this topic, we found evidence that dyadic measures are associated with objective measures of cognition and provide unique information in preclinical and prodromal AD about disease stage and progression and AD biomarker status. External factors including dyad (participant-study partner pair) relationship and sociocultural factors contribute to these associations. We recommend greater dyad report use in research settings to identify AD risk. Priority areas for future research include (1) elucidation of the contributions of demographic and sociocultural factors, dyad type, and dyad relationship to dyad report; (2) exploration of agreement and discordance between self- and study partner report across the AD syndromic and disease continuum; (3) identification of domains (e.g., memory, executive function, neuropsychiatric) that predict AD risk outcomes and differentiate cognitive impairment due to AD from other impairment; (4) development of best practices for study partner engagement; (5) exploration of study partner report as AD clinical trial endpoints; (6) continued development, validation, and optimization, of study partner report instruments tailored to the goals of the research and population

    Novel CSF biomarkers to discriminate FTLD and its pathological subtypes

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    Objective: Frontotemporal lobar degeneration (FTLD) is the second most prevalent dementia in young patients and is characterized by the presence of two main protein aggregates in the brain, tau (FTLD-Tau) or TDP43 (FTLD-TDP), which likely require distinct pharmacological therapy. However, specific diagnosis of FTLD and its subtypes remains challenging due to largely overlapping clinical phenotypes. Here, we aimed to assess the clinical performance of novel cerebrospinal fluid (CSF) biomarkers for discrimination of FTLD and its pathological subtypes. Methods: YKL40, FABP4, MFG-E8, and the activities of catalase and specific lysosomal enzymes were analyzed in patients with FTLD-TDP (n\ua0=\ua030), FTLD-Tau (n\ua0=\ua020), AD (n\ua0=\ua030), DLB (n\ua0=\ua029), and nondemented controls (n\ua0=\ua029) obtained from two different centers. Models were validated in an independent CSF cohort (n\ua0=\ua0188). Results: YKL40 and catalase activity were increased in FTLD-TDP cases compared to controls. YKL40 levels were also higher in FTLD-TDP compared to FTLD-Tau. We identified biomarker models able to discriminate FTLD from nondemented controls (MFG-E8, tTau, and A\u3b242; 78% sensitivity and 83% specificity) and non-FTLD dementia (YKL40, pTau, p/tTau ratio, and age; 90% sensitivity, 78% specificity), which were validated in an independent cohort. In addition, we identified a biomarker model differentiating FTLD-TDP from FTLD-Tau (YKL40, MFGE-8, \u3b2HexA together with \u3b2HexA/tHex and p/tTau ratios and age) with 80% sensitivity and 82% specificity. Interpretation: This study identifies CSF protein signatures distinguishing FTLD and the two main pathological subtypes with optimal accuracy (specificity/sensitivity\ua0>\ua080%). Validation of these models may allow appropriate selection of cases for clinical trials targeting the accumulation of Tau or TDP43, thereby increasing their efficiency and facilitating the development of successful therapies
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