JAR life最新文献

{"title":"Lifestyle Planning in the Transition to Retirement.","authors":"S L Hutchinson","doi":"10.14283/jarlife.2024.4","DOIUrl":"10.14283/jarlife.2024.4","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objectives: </strong>This report summarizes highlights from a study that examined retirement planning and explored personal retirement experiences.</p><p><strong>Design: </strong>An online survey included quantitative and qualitative questions about retirement preparedness and satisfaction and open-ended questions about retirement goals, fears, challenges, and advice.</p><p><strong>Participants: </strong>Canadians (n = 748) fully or partly retired responded to questions.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>Lifestyle planning is an essential component of planning for the transition to retirement.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11095240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140946640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to: Association between Modifiable Risk Factors and Levels of Blood-Based Biomarkers of Alzheimer's and Related Dementias in the Look AHEAD Cohort.","authors":"K M Hayden, M M Mielke, J K Evans, R Neiberg, D Molina-Henry, M Culkin, S Marcovina, K C Johnson, O T Carmichael, S R Rapp, B C Sachs, J Ding, H Shappell, L Wagenknecht, J A Luchsinger, M A Espeland","doi":"10.14283/jarlife.2024.3","DOIUrl":"https://doi.org/10.14283/jarlife.2024.3","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.14283/jarlife.2024.1.].</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10964847/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140295527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ElliQ, an AI-Driven Social Robot to Alleviate Loneliness: Progress and Lessons Learned.","authors":"E Broadbent, K Loveys, G Ilan, G Chen, M M Chilukuri, S G Boardman, P M Doraiswamy, D Skuler","doi":"10.14283/jarlife.2024.2","DOIUrl":"10.14283/jarlife.2024.2","url":null,"abstract":"<p><strong>Background: </strong>Loneliness is a significant issue in older adults and can increase the risk of morbidity and mortality.</p><p><strong>Objective: </strong>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.</p><p><strong>Development/implementation: </strong>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.</p><p><strong>Conclusion: </strong>This paper describes the development and real-world implementation of this product innovation and discusses challenges encountered and future directions.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10917141/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140051243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between Modifiable Risk Factors and Levels of Blood-Based Biomarkers of Alzheimer's and Related Dementias in the Look AHEAD Cohort.","authors":"K M Hayden, M M Mielke, J K Evans, R Neiberg, D Molina-Henry, M Culkin, S Marcovina, K C Johnson, O T Carmichael, S R Rapp, B C Sachs, J Ding, H Shappell, L Wagenknecht, J A Luchsinger, M A Espeland","doi":"10.14283/jarlife.2024.1","DOIUrl":"10.14283/jarlife.2024.1","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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) .</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10775955/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139418755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discrimination of Frailty Phenotype by Kinect^TM-Based Stepping Parameters.","authors":"Y Osuka, N Takeshima, N Kojima, T Kohama, E Fujita, M Kusunoki, Y Kato, W F Brechue, H Sasai","doi":"10.14283/jarlife.2023.17","DOIUrl":"10.14283/jarlife.2023.17","url":null,"abstract":"<p><strong>Background: </strong>Frailty increases the risk of falling, hospitalization, and premature death, necessitating practical early-detection tools.</p><p><strong>Objectives: </strong>To examine the discriminative ability of Kinect^TM-based stepping parameters for identifying frailty phenotype.</p><p><strong>Design: </strong>Population-based cross-sectional study.</p><p><strong>Setting: </strong>Eighteen neighborhoods near Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo, Japan.</p><p><strong>Participants: </strong>In total, 563 community-dwelling older adults aged ≥75 years without mobility limitations, neurological disease, or dementia were included.</p><p><strong>Measurements: </strong>Step number (SN) and knee total movement distance (KMD) during a 20-s stepping test were evaluated using the Kinect^TM infrared depth sensor.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10767484/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139378851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between Lifestyle and Frailty among Iranian Community-Dwelling Older Adults: Pilot Study.","authors":"S Nazari, M Bakhtiyary, A N Shabestari, F Sharifi, P F Afshar","doi":"10.14283/jarlife.2023.16","DOIUrl":"10.14283/jarlife.2023.16","url":null,"abstract":"<p><strong>Background: </strong>Aging affects physical, mental, and social functions, which can lead to an increase in frailty. Old adults with frailty syndrome are prone to disabilities and hospitalization. Lifestyle is a context-based factor that has the potential to prevent frailty.</p><p><strong>Objectives: </strong>This study aimed to assess the relationship between lifestyle and frailty among Iranian community-dwelling older adults.</p><p><strong>Design setting: </strong>This is a descriptive-analytical cross-sectional study. The participants were 513 older adults over 60 years by the convenience sampling method from the retirement center.</p><p><strong>Measurements: </strong>Data were collected using Tilberg's frailty index, the Iranian elderly lifestyle questionnaire, and the Mini-Cog test. Data were analyzed with SPSS v.26 software by chi-square and logistic regression tests.</p><p><strong>Results: </strong>The age of the participants was 66.43 ± 4.69 years. The male-to-female sex ratio was 1.5 (39.2% women). The lifestyle of 96 (19.3%) old adults was unfavorable. 18.7 percent of older adults had Frailty syndrome. The logistic regression test showed that moderate and favorable lifestyle (OR= 0.06; 95% CI: 0.02-0.16), age over 75 years (OR= 5.25; 95% CI: 2.35-11.69), retired employment status (OR= 0.13; 95% CI: 0.29-0.05) are factors that have a significant relationship with frailty (P< 0.05).</p><p><strong>Conclusion: </strong>The findings showed that lifestyle can predict frailty. Therefore, it seems that an optimal lifestyle can prevent the frailty of older adults.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690137/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138479677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Patterns of Cognitive Impairment in a Sample of Community Dwelling Older People in Nigeria.","authors":"V Ucheagwu, B Giordani","doi":"10.14283/jarlife.2023.15","DOIUrl":"10.14283/jarlife.2023.15","url":null,"abstract":"<p><strong>Objective: </strong>Prevalence and patterns of cognitive impairment were studied in older people from Nigeria.</p><p><strong>Method: </strong>Four hundred and forty one participants (263 females; age: 60-87) were recruited from community dwelling adults in Anambra state Nigeria. Five domains of cognition were tested using the Uniform Data Set Version 3 (UDS-3).</p><p><strong>Result: </strong>Prevalence: 49.7% were classified as normal cognition, 34% as borderline, 12.9% as MCI (2.72% with amnesic MCI) and 3.4% as dementia. We showed in descending order in that 13% of the participants were impaired on visual-spatial index; 6.8% on memory index; 5.2% on attention/concentration index; 2.7% were impaired on executive function index and 34.80% (based on mean) of the participants were impaired on processing speed index. There were significant interaction effects for gender and education on visual spatial and attention domains respectively. Significant effects of education were seen on executive function and processing speed while interaction effect was found on executive function alone. 8% scored 1.5 SD below the mean on MoCA. There was a significant effect of education on MoCA with the pairwise comparison showing a significant difference between tertiary education and other two levels of education. The groups did differ significantly for hypertension on MoCA.</p><p><strong>Conclusion: </strong>This study showed a high prevalence of cognitive impairment among older adult population from Nigeria. A significant proportion of the sample were impaired on the visual spatial domain and at least half of the participants were impaired on one cognitive domain. Hypertensive participants performed significantly poor on MoCA compared to non-hypertensive group.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682501/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138464793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum to: Blueberry Supplementation Effects on Neuronal and Pathological Biomarkers in Subjects at Risk for Alzheimer's Disease: A Pilot Study.","authors":"P M Doraiswamy,&nbsp;M G Miller,&nbsp;C A Hellegers,&nbsp;A Nwosu,&nbsp;J Choe,&nbsp;D M Murdoch","doi":"10.14283/jarlife.2023.14","DOIUrl":"https://doi.org/10.14283/jarlife.2023.14","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.14283/jarlife.2023.13.].</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551122/pdf/jarlife-12-0014.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41167474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blueberry Supplementation Effects on Neuronal and Pathological Biomarkers in Subjects at Risk for Alzheimer's Disease: A Pilot Study.","authors":"P M Doraiswamy, M G Miller, C A Hellegers, A Nwosu, J Choe, D M Murdoch","doi":"10.14283/jarlife.2023.13","DOIUrl":"10.14283/jarlife.2023.13","url":null,"abstract":"<p><strong>Background: </strong>There is a need to develop non-invasive practical lifestyle interventions for preventing Alzheimer's disease (AD) in people at risk, such as those with mild cognitive impairment (MCI). Blueberry consumption has been associated with reduced risk of dementia in some epidemiologic studies and with improvements in cognition in healthy aging adults. Blood-based biomarkers have emerged at the forefront of AD therapeutics research spurred by the development of reliable ultra-sensitive \"single-molecule array\" assays with 100-1000-fold greater sensitivity over traditional platforms.</p><p><strong>Objective: </strong>The purpose of this study was to examine the effect of blueberry supplementation in MCI on six blood biomarkers: amyloid-beta 40 (Aβ40), amyloid-beta 42 (Aβ42), phosphorylated Tau181 (ptau181), neurofilament light (NfL), Glial Fibrillary acidic protein (GFAP), and Brain-Derived Neurotrophic Factor (BDNF).</p><p><strong>Methods: </strong>This was a 12-week, open-label, pilot trial of 10 participants with MCI (mean age 80.2 years + 5.16). Subjects consumed 36 grams per day of lyophilized blueberry powder in a split dose consumed with breakfast and dinner. Baseline and endpoint venous blood was analyzed using an ultrasensitive SIMOA assay. Our aim was to test if blueberry supplementation would particularly impact p-tau181, NfL, and GFAP elevations associated with the neurodegenerative process.</p><p><strong>Results: </strong>There were no statistically significant (p < 0.05) changes from baseline to endpoint for any of the biomarker values or in the ratios of Aβ42 / Aβ40 and ptau181/ Aβ42. Adverse effects were mild and transient; supplementation was relatively well tolerated with all subjects completing the study.</p><p><strong>Conclusion: </strong>To our knowledge, this is the first study to prospectively examine the effects of blueberry supplementation on a panel of blood biomarkers reflecting the neurodegenerative process. Our findings raise two possibilities - a potential stabilization of the neurodegenerative process or a lack of a direct and acute effect on beta-amyloid/tau/glial markers. A larger controlled study is warranted.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10110070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Daytime Sleepiness Is Associated with Lower Cognitive Scores: The Look AHEAD Study.","authors":"K M Hayden, A Anderson, A P Spira, M-P St-Onge, J Ding, M Culkin, D Molina-Henry, A H Sanderlin, D Reboussin, J Bahnson, M A Espeland","doi":"10.14283/jarlife.2023.9","DOIUrl":"10.14283/jarlife.2023.9","url":null,"abstract":"<p><strong>Background: </strong>Daytime sleepiness is common in older adults and may result from poor nighttime sleep due to sleep disordered breathing, fragmented sleep, or other sleep disorders. Daytime sleepiness may be associated with cognition in older adults.</p><p><strong>Objectives: </strong>We investigated the association between self-reported daytime sleepiness and cognitive function in the Look AHEAD clinical trial.</p><p><strong>Design: </strong>Observational follow-up of a randomized clinical trial of an intensive lifestyle intervention.</p><p><strong>Setting: </strong>Clinic.</p><p><strong>Participants: </strong>Participants (n=1,778) aged 45-76 years at baseline with type 2 diabetes and overweight or obesity.</p><p><strong>Interventions: </strong>Participants were randomized to an intensive lifestyle intervention for weight loss or a control condition of diabetes support and education.</p><p><strong>Measurements: </strong>Participants provided self-reported levels of daytime sleepiness at baseline and years 12-13. Cognitive function was assessed with a neurocognitive battery at years 12-13 and 18-20.</p><p><strong>Results: </strong>Participants who reported having frequent daytime sleepiness (often or always) performed significantly worse than others on the cognitive composite (-0.35; p-value=0.014) after controlling for covariates. When stratified by intervention arm, participants assigned to the intensive lifestyle intervention who reported often/always having daytime sleepiness performed worse on Digit Symbol Coding (-0.63; p-value=0.05) and Trail Making Part-B (-0.56; p-value=0.02) after controlling for covariates. Statistical interactions revealed associations between daytime sleepiness and the following covariates: race and ethnicity, APOE ε4 carrier status, baseline history of cardiovascular disease, and depression.</p><p><strong>Conclusions: </strong>Daytime sleepiness over ~13 years predicted poorer cognitive performance in older individuals who, by virtue of having diabetes and overweight/obesity, are at high risk for sleep disorders and cognitive impairment.</p>","PeriodicalId":73537,"journal":{"name":"JAR life","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10345450/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9816664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}