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Self-care employs via caring proper care - chronic discomfort patients' experience of integrative therapy.
These results have revealed a role of dopamine in regulating the temporal dynamics of excitation/inhibition balance in VTA-PFC circuit, which provides insights into the functional consequence of activating dopamine system in the mesocortical system. Inflammation inhibitor © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail [email protected] lifestyle interventions (including combinations of physical exercise, cognitive training and nutritional guidance) are attracting increasing research attention for reducing the risk of Alzheimer's disease (AD). Here we examined for the first time the cross-sectional relationship between cortical β-amyloid (Aβ) and multidomain lifestyle interventions (nutritional and exercise counselling and cognitive training), omega 3 polyunsaturated fatty acid (n-3 PUFA) supplementation or their combination in 269 participants of the Multidomain Alzheimer Preventive Trial (MAPT). In adjusted multiple linear regression models, compared to the control group (receiving placebo alone), cortical Aβ, measured once during follow-up (mean 512.7 ± 249.6 days post-baseline), was significantly lower in the groups receiving multidomain lifestyle intervention + placebo (mean difference, -0.088, 95 % CI, -0.148,-0.029, p = 0.004) or multidomain lifestyle intervention + n-3 PUFA (-0.100, 95 % CI, -0.160,-0.041, p = 0.001), but there was no difference in the n-3 PUFA supplementation alone group (-0.011, 95 % CI, -0.072,0.051, p = 0.729). Secondary analysis provided mixed results. Our findings suggest that multidomain interventions both with and without n-3 PUFA supplementation might be associated with lower cerebral Aβ. Future trials should investigate if such multidomain lifestyle interventions are causally associated with a reduction or the prevention of the accumulation of cerebral Aβ.BACKGROUND Effective and measurable participant recruitment methods are urgently needed for clinical studies in Alzheimer's disease. OBJECTIVES To develop methods for measuring recruitment tactics and evaluating effectiveness. METHODS Recruitment tactics for the Alzheimer's Disease Neuroimaging Initiative (ADNI3) were measured using web and phone analytics, campaign metrics and survey responses. RESULTS A total of 462 new participants were enrolled into ADNI3 through recruitment efforts. We collected metrics on recruitment activities including 82,003 unique visitors to the recruitment website and 3,335 calls to study phone numbers. The recruitment sources that produced the most screening and enrollment included online advertisements, local radio and newspaper coverage and emails and referrals from registries. CONCLUSIONS Analysis of recruitment activity obtained through tracking methods provided some insight for effective recruitment. ADNI3 can serve as an example of how a data-driven approach to centralized participant recruitment can be utilized to facilitate clinical research.BACKGROUND Cognitive interventions have the potential to enhance cognition among healthy older adults. However, little attention has been paid to the effect of cognitive training (CT) on mood and activities of daily living (ADL). OBJECTIVES To assess the effectiveness of a multicomponent CT using a training program of executive functions, attention, memory and visuospatial functions (TEAM-V Program) on cognition, mood and instrumental ADL. DESIGN A randomized, single-blinded, treatment-as-usual controlled trial. SETTING Geriatric clinic in Bangkok, Thailand. PARTICIPANTS 77 nondemented community-dwelling older adults (mean age 65.7±4.3 years). INTERVENTION The CT (TEAM-V) program or the treatment-as-usual controlled group. The TEAM-V intervention was conducted over 5 sessions, with a 2-week interval between each session. Of 77 participants randomized (n=40 the TEAM-V program; n=37 the control group). MEASUREMENTS The Thai version of Montreal Cognitive Assessment (MoCA), The Alzheimer's Disease Assessment Scalion group compared with baseline. Further studies incorporating a larger sample size, longitudinal follow-up and higher-intensity CT should be conducted.BACKGROUND Alzheimer's disease (AD) is the most common and most costly chronic neurodegenerative disease globally. AD develops over an extended period prior to cognitive symptoms, leaving a "window of opportunity" for targeted risk-reduction interventions. Further, this pre-dementia phase includes early physiological changes in sleep and autonomic regulation, for which wearable biosensor devices may offer a convenient and cost-effective method to assess AD-risk. METHODS Patients with a family history of AD and no or minimal cognitive complaints were recruited from the Alzheimer's Prevention Clinic at Weill Cornell Medicine and New York-Presbyterian. Of the 40 consecutive patients screened, 34 (85%) agreed to wear a wearable biosensor device (WHOOP). One subject (2.5%) lost the device prior to data collection. Of the remaining subjects, 24 were classified as normal cognition and were asymptomatic, 6 were classified as subjective cognitive decline, and 3 were amyloid-positive (one with pre-clinical AD, one witho continue wearing WHOOP. K-means clustering separated participants into two groups. Group 1 was older, had lower HRV, and spent more time in slow-wave sleep (SWS) than Group 2. Group 1 performed better on two cognitive tests assessing executive function Flanker Inhibitory Attention/Control (FIAC) (p=.031), and Dimensional Change Card Sort (DCCS) (p=.061). In Group 1, DCCS was correlated with SWS (ρ=.68, p=0.024) and HRV (ρ=.6, p=0.019). In Group 2, DCCS was correlated with HRV (ρ=.55, p=0.018). There were no significant differences in blood biomarkers between the two groups. CONCLUSIONS Wearable biosensor devices may be a feasible tool to assess AD-related physiological changes. Longitudinal collection of sleep and HRV data may potentially be a non-invasive method for monitoring cognitive changes related to pre-clinical AD. Further study is warranted in larger populations.BACKGROUND Rice wine lees (RWL), a Japanese traditional fermented product, is a rich source of one-carbon metabolism-related nutrients, which may have beneficial effects on cognitive function. OBJECTIVES We aimed to examine the effect of the RWL on cognitive function in community-dwelling physically active older adults. DESIGN Double-blind, randomized, placebo-controlled study (clinical trial number UMIN 000027158). SETTING Community-based intervention including assessments conducted at the University of Hyogo and a public liberal arts school in Himeji City, Japan. PARTICIPANTS A total of 35 community-dwelling older adults (68-80 years) who performed mild exercise before and during the trial were assigned to either the RWL (n=17) or the placebo group (n=18). INTERVENTION Daily consumption of 50 g RWL powder, which contained one-carbon metabolism-related nutrients, or the placebo powder (made from soy protein and dextrin) for 12 weeks. Both supplements included equivalent amounts of energy and protein. MEASUREMENTS Montreal Cognitive Assessment, computerized cognitive function test, and measurements of serum predictive biomarkers (transthyretin, apolipoprotein A1, and complement C3) were conducted at baseline and follow-up. RESULTS Visual selective attention and serum transthyretin significantly improved in the RWL group, whereas there was no significant change in the placebo group. No significant group difference was observed in the remaining cognitive performance tests. CONCLUSIONS RWL supplements seem to have a few effects on cognitive function in community-dwelling physically active older adults. However, the impact was limited; therefore, further studies with sufficient sample size are warranted to elucidate this issue.The neuropsychological scores and Functional Activities Questionnaire (FAQ) are significant to measure the cognitive and functional domain of the patients affected by the Alzheimer's Disease. Further, there are standardized dataset available today that are curated from several centers across the globe that aid in development of Computer Aided Diagnosis tools. However, there are numerous clinical tests to measure these scores that lead to a challenging task for their assessment in diagnosis. Also, the datasets suffer from common missing and imbalanced data issues. In this paper, we propose a machine learning based framework to overcome these issues. Empirical results demonstrate that improved performance of Genetic Algorithm is obtained for the neuropsychological scores after Miss Forest Imputation and for FAQ scores is obtained after subjecting it to the Synthetic Minority Oversampling Technique.The Macao Dementia Policy was recognized by Alzheimer Disease International as the 27th globally and one of the highest stage 5 to develop dementia friendly community and primary health professionals are in a pivotal position to enhance community-based dementia prevention and care quality. This study aimed to investigate the knowledge, attitude and preventive practice on dementia care among primary health professionals in Macao. A specially designed 30-item questionnaire was developed and validated for the study. The Content Validity Index (CVI) and Cronbach's α of the questionnaire were 0.973 and 0.808. The questionnaires were distributed to all 375 primary health professionals from 8 Health Centers throughout Macao and 234 valid questionnaires (62.4%) were returned. The score for dementia care knowledge was 87.02±14.01; attitude was 69.52±5.83; preventive practice was 77.88±13.18, of which doctors (79.89±13.77) was significantly higher (t=2.29, p=0.023) than nurses (75.91±12.33). There were positive relationships between preventive practice and attitude (r=0.163, p=0.014), and age (r=0.212, p=0.002), and a negative relationship between knowledge and age (r=-0.139, p=0.040). These findings have significant implications that most primary health professionals in Macao had sufficient knowledge, a positive attitude and appropriate preventive practice on dementia care. However, enhanced dementia education to improve knowledge and preventive practice was a strong agenda for the training for senior staff and nurses.BACKGROUND Cognitive interventions have the potential to enhance cognition among healthy older adults. However, little is known of the factors associated with the joining and participating of older people in group-based multicomponent cognitive training (CT). OBJECTIVES To explore factors that contribute to joining and regularly practicing CT over 1 year among healthy older adults. DESIGN A qualitative study. SETTING Geriatric clinic in Bangkok, Thailand. PARTICIPANTS 40 nondemented community-dwelling older adults. INTERVENTION The CT of executive functions, attention, memory and visuospatial functions (TEAM-V) program was conducted over 5 sessions, with a 2-week interval between each session. MEASUREMENTS An inductive qualitative approach, based on semi-structure interviews with 40 healthy older adults, was employed. The interviews explored factors of joining CT at baseline, factors of regularly participating in class at 6 months and at home at 1 year. Data were coded and analyzed using and the thematic analysis approach.
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