JAR life最新文献

Recent findings suggest that brain-stimulating activities may have beneficial effects on both Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD). However, whether cognitive interventions merely enhance cognitive reserve or truly attenuate, or even reverse, the disease's pathophysiology is still controversial. The aim of the present article is to discuss the potential for brain-stimulating activities, including cognitive stimulation (CS), cognitive rehabilitation (CR), and cognitive training (CT), to be symptomatic or disease-modifying interventions in the context of cognitive decline. While emerging evidence indicates that CT can enhance synaptic plasticity, suggesting a potential role in augmenting cognitive reserve, its impact on AD pathology remains uncertain. Small-scale studies suggest that CT and CS may slow down neurodegeneration in MCI patients and that multidomain interventions combining physical activity with CT may benefit Aβ pathology. However, the considerable heterogeneity across studies limits the comparability of findings. It underscores the necessity for a more standardized approach to cognitive interventions in future guidelines for preventing and managing cognitive decline.

Sarcopenia, a complex muscular condition driven by multi-systemic dysregulation and its interactions with lifestyle, physical attributes, and mental health, lacks effective drug treatments, relying primarily on non-pharmacological interventions. Fragmented approaches may prove suboptimal due to its complexity, underscoring the potential for multidomain interventions-a combination of two or more strategies to improve individual health-as a promising treatment option. This review examines the possible roles of multidomain interventions in sarcopenia, specifically addressing their effects on muscle mass and quality, muscle strength, and physical performance in older adults. While the updated literature highlights the beneficial consequences of multidomain interventions in enhancing physical performance outcomes, gaps persist in understanding their influence on the biological aspects of sarcopenia. Promising initial findings suggest changes in plasma inflammatory markers or muscle turnover networks, but further research is necessary to clarify the disease-modifying effects of multidomain intervention in sarcopenic patients.

Introduction: Ageing of the global population has led to an increase in the demand for the treatment of wounds, especially considering the challenges of managing wounds in the elderly. Therefore, more effective treatment strategies need to be explored. In this article, we aimed to compare medical-grade honey (MGH) products with other wound care products and to provide guidelines on using MGH in wounds commonly found in the elderly.

Methods: Based on literature research and expert opinion, an overview of commonly used wound care products and their wound healing characteristics is provided. In addition, literature-based classification of wounds in the elderly and the recommendations for treatments are provided.

Results: Frequently used wound care products include povidone-iodine, enzymatic products, absorbing dressings, larvae, silver dressings, and MGH dressings. Supported by systematic reviews and meta-analyses, MGH dressings were identified as the most potent and all-round wound care product compared to the others. Next, we provided basic guidelines for managing the most common wounds in the elderly, both acute and chronic, and specified how and which MGH products can be used in these wounds.

Conclusion: MGH is a widely applicable, safe, easy-to-use, and cost-effective product to manage wounds in the elderly. In case of doubt, refer to a trained wound care specialist who can support the treatment of difficult-to-heal wounds.

Background: Mild cognitive impairment (MCI) is a condition commonly associated with dementia. Therefore, early prediction of progression from MCI to dementia is essential for preventing or alleviating cognitive decline. Given that dementia affects cognitive functions like language and speech, detecting disease progression through speech analysis can provide a cost-effective solution for patients and caregivers.

Design-participants: In our study, we examined spontaneous speech (SS) and written Mini Mental Status Examination (MMSE) scores from a 60-patient dataset obtained from the Mugla University Dementia Outpatient Clinic (MUDC) and a 153-patient dataset from the Alzheimer's Dementia Recognition through Spontaneous Speech (ADRess) challenge. Our study, for the first time, analyzed the impact of audio features extracted from SS in distinguishing between different degrees of cognitive impairment using both an Indo-European language and a Turkic language, which exhibit distinct word order, agglutination, noun cases, and grammatical markers.

Results: When each machine learning model was tested on its respective trained language, we attained a 95% accuracy using the random forest classifier on the ADRess dataset and a 94% accuracy on the MUDC dataset employing the multilayer perceptron (MLP) neural network algorithm. In our second experiment, we evaluated the effectiveness of each language-specific machine learning model on the dataset of the other language. We achieved accuracies of 72% for English and 76% for Turkish, respectively.

Conclusion: These findings underscore the cross-language potential of audio features for automated tracking of cognitive impairment progression in MCI patients, offering a convenient and cost-effective option for clinicians or patients.

Background/introduction: Though considered a late-onset disease, the 2020 report of the Lancet Commission emphasizes the necessity of conducting primary prevention trials with an approach of never too early in the life course for dementia prevention. Driven by the same notion, we hereby aim to compare the dementia risk reduction potential of two potential interventions, 48 weeks (12 months) of yoga and brisk walking, in middle-aged high-risk subjects.

Design: A randomized controlled trial.

Setting: Community in India.

Participants: In total, 323 at-risk dementia subjects will be recruited from community settings through health awareness camps and door-to-door surveys across Delhi, India. Participants will be randomized into yoga or brisk-walking groups (1:1). The yoga intervention group will receive 60 contact yoga sessions per 60-min/day at the community parks, followed by continued tele-supervised home practice, further followed by at-home self-practice, and will be tested at 3-time points (baseline, 24-week and 48-week, post-randomization) to test the efficacy of the intervention. The control group will be asked to do brisk walking daily for 45 minutes at their convenience, followed by weekly telephone follow-ups. Applying the intention-to-treat principle, the primary endpoint will be the change from baseline at the 12th month in the Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) Scores. Secondary outcomes will include the composite scores derived from a comprehensive neuropsychology battery, comprising the Trail Making Test, Digit Span Test, N Back, Color Trail, Animal Fluency Test, COWA (Controlled Oral Word Association Test), and Digit Symbol Substitution. The primary outcome will be analyzed using mixed-effect models for repeated measures, adjusted for covariates as fixed effects. The study has been prospectively registered (CTRI/2023/02/049746) on February 15, 2023. The protocol was conceptualized in 2021 and approved by the Institutional Ethics Committee of SVYASA. Recruitment began in February 2023 and is underway with patient enrollment.

Conclusion: To our knowledge, this is the first controlled trial to investigate the longitudinal effects of a yoga-based intervention on dementia risk reduction using the CAIDE risk score. The findings of this trial will also provide insight into a better understanding of genotype-dependent responses to yoga intervention and open up avenues for understanding the implications of gene-intervention interactions for precision prevention using yoga.

Background: There is a further need to examine the types of planning people do for their lives in retirement and to examine goals and challenges in relation to planning efforts.

Objectives: This report summarizes highlights from a study that examined retirement planning and explored personal retirement experiences.

Design: An online survey included quantitative and qualitative questions about retirement preparedness and satisfaction and open-ended questions about retirement goals, fears, challenges, and advice.

Participants: Canadians (n = 748) fully or partly retired responded to questions.

Results: Quantitative results determined that while both financial and lifestyle planning were significant predictors of higher perceived preparedness, only lifestyle planning was a significant predictor for perceived satisfaction. Qualitative comments highlighted the importance of goal-setting, including planning for meaningful time use and strategies to address anticipated or existing challenges.

Conclusions: Lifestyle planning is an essential component of planning for the transition to retirement.

[This corrects the article DOI: 10.14283/jarlife.2024.1.].

Background: Loneliness is a significant issue in older adults and can increase the risk of morbidity and mortality.

Objective: To present the development of ElliQ, a proactive, AI-driven social robot with multiple social and health coaching functions specifically designed to address loneliness and support older people.

Development/implementation: ElliQ, a consumer robot with a friendly appearance, uses voice, sounds, light, and buttons through a touch screen to facilitate conversation, music, video calls, well-being assessments, stress reduction, cognitive games, and health reminders. The robot was deployed by 15 government agencies in the USA. Initial experience suggests it is not only highly engaging for older people but may be able to improve their quality of life and reduce loneliness. In addition, the development of a weekly report that patients can share with their clinicians to allow better integration into routine care is described.

Conclusion: This paper describes the development and real-world implementation of this product innovation and discusses challenges encountered and future directions.

Background: Emerging evidence suggests that a number of factors can influence blood-based biomarker levels for Alzheimer's disease (AD) and Alzheimer's related dementias (ADRD). We examined the associations that demographic and clinical characteristics have with AD/ADRD blood-based biomarker levels in an observational continuation of a clinical trial cohort of older individuals with type 2 diabetes and overweight or obesity.

Methods: Participants aged 45-76 years were randomized to a 10-year Intensive Lifestyle Intervention (ILI) or a diabetes support and education (DSE) condition. Stored baseline and end of intervention (8-13 years later) plasma samples were analyzed with the Quanterix Simoa HD-X Analyzer. Changes in Aβ42, Aβ40, Aβ42/Aβ40, ptau181, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) were evaluated in relation to randomization status, demographic, and clinical characteristics.

Results: In a sample of 779 participants from the Look AHEAD cohort, we found significant associations between blood-based biomarkers for AD/ADRD and 15 of 18 demographic (age, gender, race and ethnicity, education) and clinical characteristics (APOE, depression, alcohol use, smoking, body mass index, HbA1c, diabetes duration, diabetes treatment, estimated glomerular filtration rate, hypertension, and history of cardiovascular disease) .

Conclusions: Blood-based biomarkers of AD/ADRD are influenced by common demographic and clinical characteristics. These factors should be considered carefully when interpreting these AD/ADRD blood biomarker values for clinical or research purposes.

Background: Frailty increases the risk of falling, hospitalization, and premature death, necessitating practical early-detection tools.

Objectives: To examine the discriminative ability of Kinect^TM-based stepping parameters for identifying frailty phenotype.

Design: Population-based cross-sectional study.

Setting: Eighteen neighborhoods near Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo, Japan.

Participants: In total, 563 community-dwelling older adults aged ≥75 years without mobility limitations, neurological disease, or dementia were included.

Measurements: Step number (SN) and knee total movement distance (KMD) during a 20-s stepping test were evaluated using the Kinect^TM infrared depth sensor.

Results: The number (%) of participants with frailty were 51 (9.1). The area under the receiver operating characteristic curves (95% confidence interval) of a parameter consisting of SN and KMD for frailty was 0.72 (0.64, 0.79).

Conclusions: Stepping parameters evaluated using Kinect^TM provided acceptable ability in identifying frailty phenotype, making it a practical screening tool in primary care and home settings.