A. Whittaker, E. Asamane, J. Aunger, D. Bondarev, A. Cabbia, P. Doody, N. Gensous, Barbara Iadarola, K. Ramsey, Belina Rodrigues, Muhammad Rizwan Tahir, S. Yeung
{"title":"Physical Activity and Nutrition INfluences in Ageing: Current Findings from the PANINI Project","authors":"A. Whittaker, E. Asamane, J. Aunger, D. Bondarev, A. Cabbia, P. Doody, N. Gensous, Barbara Iadarola, K. Ramsey, Belina Rodrigues, Muhammad Rizwan Tahir, S. Yeung","doi":"10.20900/AGMR20190005","DOIUrl":"https://doi.org/10.20900/AGMR20190005","url":null,"abstract":"Background: The ageing of the population is a global challenge and the period of life spent in good health, although increasing, is not keeping pace with lifespan. Consequently, understanding the important factors that contribute to healthy ageing and validating interventions and influencing policy to promote healthy ageing are vital research priorities. \u0000Method: The PANINI project is a collaboration of 20 partners across Europe examining the influence of physical activity and nutrition in ageing. Methods utilised encompass the biological to the social, from genetics to the influence of social context. For example, epigenetic, immunological, and psychological assessments, and nutritional and sports science-based interventions have been used among older adults, as well as mathematical modelling and epidemiology. The projects are multi-disciplinary and examine health outcomes in ageing from a range of perspectives. \u0000Results: The results discussed here are those emerging thus far in PANINI from 11 distinct programmes of research within PANINI as well as projects cross-cutting the network. New approaches, and the latest results are discussed. \u0000Conclusions: The PANINI project has been addressing the impact of physical activity and nutrition on healthy ageing from diverse but interlinked perspectives. It emphasises the importance of using standardized measures and the advantages of combining data to compare biomarkers and interventions across different settings and typologies of older adults. As the projects conclude, the current results and final data will form part of a shared dataset, which will be made open access for other researchers into ageing processes.","PeriodicalId":72094,"journal":{"name":"Advances in geriatric medicine and research","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78139584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Brown, John B. Young, E. Teale, G. Santorelli, A. Clegg
{"title":"A Cross-Sectional Study of the Impact of Pain in Older People with Frailty: Findings from the Community Ageing Research 75+ (CARE75+) Study","authors":"L. Brown, John B. Young, E. Teale, G. Santorelli, A. Clegg","doi":"10.20900/AGMR20190002","DOIUrl":"https://doi.org/10.20900/AGMR20190002","url":null,"abstract":"Background: Pain prevalence is higher in older people with frailty compared to fit older people. However, little is known about pain impact on the lives of older people with frailty. Objectives: To investigate pain impact in community dwelling older people (≥75 years) using data from the Community Ageing Research 75+ (CARE75+) cohort study (UKCRN 18043). Methods: Participants were assessed as not frail, pre-frail or frail (phenotype model of frailty). Pain impact was measured using the Geriatric Pain Measure Short-Form (GPM-12), an instrument incorporating 10 items on how pain impacts on ambulation, social engagement, ability to accomplish tasks and sleep, along with current pain intensity and average pain intensity (last 7 days). Intrusive pain was calculated from an item in the Short-Form 36 questionnaire. Differences in the GPM-12 scores between frailty categories were compared using Kruskal-Wallis H tests. Logistic regression models were used to investigate the association between frailty and intrusive pain. Results: 887 participants: not frail 139; pre-frail 471; and frail 268. Total GPM-12 median (IQR): not-frail 5.0 (0.0, 12.5); pre-frail 10.0 (0.0, 27.5); and frail 40.0 (10.0, 65.0) (p ≤ 0.0001). Current pain: not frail 0.0 (0.0, 1.0); pre-frail 0 (0.0, 3.0); and frail 3.0 (0.0, 5.0) (p ≤ 0.0001). Average pain: not-frail 0.0 (0.0, 2.0); pre-frail 1 (0.0, 4.0); frail 4.0 (2.0, 6.8) (p ≤ 0.0001). There was a strong association between being frail and intrusive pain (adjusted for sex, ethniciaty, mood and high comorbid burden): OR 3.53 (95% CI 2.47, 5.04). Conclusions: This research has identified an important new finding that pain in older people with frailty appears to be of sufficient severity to impact negatively on multiple aspects of day-to-day life","PeriodicalId":72094,"journal":{"name":"Advances in geriatric medicine and research","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90952421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Aging Well: Using Precision to Drive Down Costs and Increase Health Quality.","authors":"Rhoda Au, Marina Ritchie, Spencer Hardy, Ting Fang Alvin Ang, Honghuang Lin","doi":"10.20900/agmr20190003","DOIUrl":"10.20900/agmr20190003","url":null,"abstract":"<p><p>Efforts to provide patients with individualized treatments have led to tremendous breakthroughs in healthcare. However, a precision medicine approach alone will not offset the rapid increase in prevalence and burden of chronic non-communicable illnesses that is continuing to pervade the world's aging population. With rapid advances in technology, it is now possible to collect digital metrics to assess, monitor and detect chronic disease indicators, much earlier in the disease course, potentially redefining what was previously considered asymptomatic to pre-symptomatic. Data science and artificial intelligence can drive the discovery of digital biomarkers before the emergence of overt clinical symptoms, thereby transforming the current healthcare approach from one centered on precision medicine to a more comprehensive focus on precision health, and by doing so enable the possibility of preventing disease altogether. Presented herein are the challenges to the current healthcare model and the proposition of first steps for reversing the prevailing intractable trend of rising healthcare costs and poorer health quality.</p>","PeriodicalId":72094,"journal":{"name":"Advances in geriatric medicine and research","volume":"1 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656386/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41221540","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}