Older Adults Age Research Articles

Yoga-based lifestyle intervention for healthy ageing in older adults: a two-armed, waitlist randomized controlled trial with multiple primary outcomes.

Yoga-based clinical research has shown considerable promise in varied ageing-related health outcomes in older adults. However, robust frameworks have yet to be used in intervention research to endorse yoga as a healthy ageing intervention to test the multidimensional construct of healthy ageing. This was an assessor-masked, randomized controlled trial conducted among 258 sedentary, community-dwelling older adults aged 60-80years, randomly allocated to 26-week yoga-based intervention (YBI) (n = 132) or waitlist control (WLC) (n = 126). The effectiveness of YBI was assessed through two separate global statistical tests, generalized estimating equations and rank sum-based test, against a comprehensive healthy aging panel comprised of ten markers representing the domains of physiological and metabolic, cognitive, physical capability, psychological, and social well-being. The secondary outcomes were individual primary marker scores, Klotho, inflammatory markers, and auxiliary blood markers. We could establish the healthy aging effect of the 26-week YBI over WLC using two models of global statistical test (GEE, β = 0.29; 95% CI = 0.20 to 0.38, p < 0.001), and rank sum-based test (β = 0.28, 95% CI = 0.19 to 0.36, p < 0.001). There were also significant improvements in direction of benefit at individual levels of all the aging markers. Exploratory evaluation with adopted indices from contemporary clinical trials also validated the potential of YBI for healthy aging; HATICE adapted composite score (mean difference = - 0.18; 95% CI = - 0.26 to - 0.09, p < 0.001) and healthy ageing index (mean difference = - 0.33; 95% CI = - 0.63 to - 0.02, p = 0.03). The global effect of YBI across multiple ageing-related outcomes provides a proof of concept for further large-scale validation. The findings hold a great translational value given the accelerated pace of population aging across the globe. Trial registration: CTRI/2021/02/031373.

Cross-sectional and Prospective Associations Between Sleep Health and Multimorbidity in Middle to Older-aged Adults: Results from the Canadian Longitudinal Study on Aging (CLSA)

ObjectiveMiddle-aged to older adults often exhibit the co-existence of poor sleep health and multimorbidity. We examined cross-sectional and prospective associations of pooled index of sleep health with prevalent and incident multimorbidity in the framework of an ongoing cohort study in Canada. MethodsData were from approximately 24,000 individuals from the Canadian Longitudinal Study on Aging (CLSA), an ongoing national study of community-dwelling adults aged 45 to 85 years at baseline. Multimorbidity was defined as two or more chronic conditions out of five major condition categories. Sleep variables included sleep duration, quality, initiation, maintenance, and excessive daytime sleepiness, which were combined into an index using pooled approaches. Weighted logistic regression models were computed for each index with additional age- and sex-stratified analyses. ResultsHigher sleep index scores, indicating poorer sleep health, were observed in females and younger age groups (ages 45-54 and 55-64). In cross-sectional analysis, the fully adjusted model showed that a 1-unit increase in pooled scores was significantly associated with 1.48 higher odds (95% CI = 1.38, 1.58; p<0.001) of prevalent multimorbidity at baseline. Similarly, the prospective analysis indicated significant changes in incident multimorbidity with pooled index scores in the fully adjusted model (OR = 1.33; 95% CI = 1.20, 1.48; p<0.001). ConclusionThe pooled sleep index introduced in this study may offer a novel, concise, and comprehensive approach to assessing sleep health among middle-aged and older adults. Those in these age groups experiencing poorer sleep health are at a greater risk of prevalent multimorbidity, as well as of developing multimorbidity over time.

Age-related loss of intestinal barrier integrity plays an integral role in thymic involution and T cell ageing.

The intestinal epithelium serves as a physical and functional barrier against harmful substances, preventing their entry into the circulation and subsequent induction of a systemic immune response. Gut barrier dysfunction has recently emerged as a feature of ageing linked to declining health, and increased intestinal membrane permeability has been shown to promote heightened systemic inflammation in aged hosts. Concurrent with age-related changes in the gut microbiome, the thymic microenvironment undergoes a series of morphological, phenotypical and architectural alterations with age, including disorganisation of the corticomedullary junction, increased fibrosis, increased thymic adiposity and the accumulation of senescent cells. However, a direct link between gut barrier dysbiosis and thymic involution leading to features of immune ageing has not been explored thus far. Herein, we reveal strong associations between enhanced microbial translocation and the peripheral accumulation of terminally differentiated, senescent and exhausted T cells and the compensatory expansion of regulatory T cells in older adults. Crucially, we demonstrate that aged germ-free mice are protected from age-related increases in intestinal permeability, highlighting the direct impact of mucosal permeability on thymic ageing. Together, these findings establish a novel mechanism by which gut barrier dysfunction drives systemic activation of the immune system during ageing through thymic involution. This enhances our understanding of drivers of T cell ageing and opens up the possibility for the use of microbiome-based interventions to restore immune homeostasis and promote healthy ageing in older adults.

Factors Associated With Caregiver Burden in Family Caregivers of Older Adults: A Cross-Sectional Study.

This study aimed to assess caregiver burden and identify factors associated with caregiver burden among family caregivers of older adults. This cross-sectional study included 140 older adults and their family caregivers. The study was conducted between February and November 2020 at a hospital in İstanbul. Data were collected using the Zarit Burden Interview (ZBI), Multidimensional Scale of Perceived Social Support (MSPSS), General Health Questionnaire-12 (GHQ-12), and Katz Activities of Daily Living Scale (Katz ADL). The mean age of the caregivers was 49.20 ± 10.75 years, and 72.9% were female. The mean ZBI score was 30.65 ± 9.31. Katz Activities of Daily Living Scale (β = -.579, p < .001), older adults' age (β = -.462, p < .001), caregiver's gender (β = .250, p < .001), MSPSS (β = -.195, p < .01), whether the caregiver had regular health check-ups (β = -.156, p < .05), and GHQ-12 (β = .147, p < .05) were found to be significant predictors of caregiver burden respectively. These variables explain 56.3% of the total variance for the caregiver burden (R2 = .563, p < .001). Being a female caregiver and experiencing poor mental health were associated with a higher caregiver burden. Regular health check-ups received by caregivers and good social support were associated with a lower caregiver burden. Older age and higher dependency of older adults were associated with a lower caregiver burden. Based on these findings, there is a need for interventions and social policies aimed at reducing caregiver burden among family caregivers of older adults.

Explaining deep learning models for age-related gait classification based on acceleration time series

BackgroundGait analysis holds significant importance in monitoring daily health, particularly among older adults. Advancements in sensor technology enable the capture of movement in real-life environments and generate big data. Machine learning, notably deep learning (DL), shows promise to use these big data in gait analysis. However, the inherent black-box nature of these models poses challenges for their clinical application. This study aims to enhance transparency in DL-based gait classification for aged-related gait patterns using Explainable Artificial Intelligence, such as SHapley Additive exPlanations (SHAP). MethodsIn this cross-sectional study, a total of 244 participants, comprising 129 adults and 115 older adults (age>65), were included. They performed a 3-min walking task while accelerometers were affixed to the lumbar segment L3. DL models, convolutional neural network (CNN) and gated recurrent unit (GRU), were trained using 1-stride and 8-stride accelerations, respectively, to classify adult and older adult groups. SHAP was employed to explain the models' predictions. ResultsCNN achieved a satisfactory performance with an accuracy of 81.4 % and an AUC of 0.89, and GRU demonstrated promising results with an accuracy of 84.5 % and an AUC of 0.94. SHAP analysis revealed that both CNN and GRU assigned higher SHAP values to the data from vertical and walking directions, particularly emphasizing data around heel contact, spanning from the terminal swing to loading response phases. Furthermore, SHAP values indicated that GRU did not treat every stride equally. ConclusionCNN accurately distinguished between adults and older adults based on the characteristics of a single stride's data. GRU achieved accurate classification by considering the relationships and subtle differences between strides. In both models, data around heel contact emerged as most critical, suggesting differences in acceleration and deceleration patterns during walking between different age groups.

Uncontrolled Diabetes Mellitus Type II Prevalence among Young, Middle, and Old-Aged Adults in Perambalur District Population of Tamil Nadu, India.

This study is aimed to approximate the prevalence of uncontrolled diabetes mellitus among Perambalur District population of South TamilNadu. Diabetes mellitus (DM) is a chronic metabolic disorder due to insulin deficiency or resistance which can affect multiple organs of the body such as heart, kidneys and eyes. Uncontrolled diabetes mellitus (DM), refers to having high blood sugar levels (hyperglycemia). Uncontrolled diabetes is at a greater risk of diabetic complications and a significant health concern in Perambalur District of Tamil Nadu, Southern India, India. A study conducted in Dhanalakshmi Srinivasan Institute of Medical Sciences &amp; Hospital, Perambalur district of Tamil Nadu, Southern India, India. The study included 454 uncontrolled diabetes mellitus subjects of which 60.35% uncontrolled diabetes mellitus in female population and 39.65% uncontrolled diabetes mellitus in male population. The study included 274 female subjects was further divided into three age groups, age group I (25 to 44 years) of 23.38% uncontrolled diabetes mellitus population, age group II (45 to 60 years) of 47.46% uncontrolled diabetes mellitus population, and age group III (61 to 85 years) of 29.20% uncontrolled diabetes mellitus population. The 180 uncontrolled diabetes mellitus male subjects was further divided into three age groups: age group I (25 to 44 years) of 32.22% uncontrolled diabetes mellitus population, age group II (45 to 60 years) of 42.22% uncontrolled diabetes mellitus population, and age group III (61 to 85years) of 25.56% uncontrolled diabetes population. This uncontrolled diabetes mellitus was confirmed by estimating glycated hemoglobin (HbA1C) in these diabetes mellitus population. Our study confirmed that there may be a significant burden of diabetes mellitus related both micro vascular and macro vascular complications in this Perambalur district region of Tamil Nadu, Southern India, India.

Effects of home-based exercise alone or combined with cognitive training on cognition in community-dwelling older adults: A randomized clinical trial

BackgroundStructured and supervised physical exercise and cognitive training are two efficient ways to enhance cognition in older adults. Performing both within a combined intervention could maximize their effect on cognition due to their potential synergy on brain functions. During the COVID-19 pandemic, these interventions were particularly relevant due to the collateral impact of social restrictions regarding physical activity and the level of cognitive stimulation. However, the benefits of remotely monitored intervention combining physical exercise and cognitive training for older adult cognition remain to be demonstrated. Methods127 older adults (age: 65.20 ± 7.95) were randomized in two arms, encouraging self-engagement in six months of home-based physical exercise alone or combined with cognitive training, monitored by phone once a week. Neuropsychological assessment was performed under videoconference supervision at baseline and after three and six months. Composite Z-scores were calculated for processing speed, executive functioning, working, and episodic memory to assess changes after three and six months of training. The weekly metabolic expenditure of self-reported activities was estimated using the compendium of physical activity to distinguish participants performing higher and lower doses of exercise (median split). Results106 participants (83.46 %) completed the 6-month training. Results showed a greater Z-score change in executive functioning for participants in the combined arm than those who only exercised (F = 4.127, p = 0.046, ηp2 = 0.050). Group x Exercise dose interaction was observed for episodic memory Z-score change (F = 6.736, p = 0.011, ηp2 = 0.070), with a greater improvement for participants performing higher doses of exercise compared to those who performed a lower dose, only in exercise alone arm. Performing a higher dose of exercise increased the working memory Z-score change in both intervention arms compared to a lower dose (F = 7.391, p = 0.008, η p2 = 0.076). ConclusionRemote combined training may lead to larger improvement in executive functioning than exercise alone. Physical exercise showed a dose-related improvement in working and episodic memory performances. The combination of cognitive interventions mitigated the effects of exercise on episodic memory. These results suggest that home-based exercise and cognitive training may help improve older adults' cognition. Trial registrationCOVEPIC was retrospectively registered on December 03, 2020. Clinical trials Identifier: NCT04635462 - https://clinicaltrials.gov/ct2/show/record/NCT04635462?term=NCT04635462&draw=2&rank=1

Association of Limited Health Literacy With Frailty, Health-Related Quality of Life, and Health Care Utilization Among Older Adults With Cancer: The Cancer and Aging Resilience Evaluation Registry.

Limited health literacy-ability to obtain, process, and understand health information-can hinder communication, access to medical treatment, and identification and management of comorbidities. Older adults have high rates of poor health literacy, but its role in aging-related outcomes among older adults with cancer is understudied. We included 876 older adults age 60 years and older with cancer from the Cancer and Aging Resilience Evaluation Registry completing self-reported geriatric assessment, including health literacy, at first visit to medical oncology. The exposure was limited health literacy. Outcomes were frailty, physical/mental health-related quality of life (HRQOL), and health care utilization. We used modified Poisson regression to examine the association of exposure on outcomes adjusting for age, race-ethnicity, sex, and cancer type/stage. Median age at enrollment was 68; 57.8% were male; 20.2% were non-Hispanic Black. The most prevalent cancers were advanced-stage (46.8% stage IV) colorectal (26.9%) and pancreatic (19.0%). Those with limited health literacy were older (70 v 68 years; P < .001), male (63.0% v 55.1%; P = .026), non-Hispanic Black (28.8% v 16.1%; P < .001), ≤high school educated (62.3% v 28.1%; P < .001), and retired/disabled (86.3% v 71.2%; P < .001). In multivariable analysis, limited health literacy was associated with higher prevalence of frailty (prevalence ratio [PR], 2.64 [95% CI, 2.15 to 3.26]), impaired physical (PR, 1.90 [95% CI, 1.59 to 2.27]) and mental (PR, 2.08 [95% CI, 1.76 to 2.47]) HRQOL, and hospitalization in the last year (PR, 1.28 [95% CI, 1.10 to 1.48]) versus adequate health literacy. Older adults with cancer and limited health literacy had higher adjusted prevalence of frailty, impaired physical and mental HRQOL, and recent hospitalization. Interventions to address limited health literacy should be explored in this vulnerable and growing cancer population.

Reduced Achilles tendon stiffness in aging associates with higher metabolic cost of walking.

The mechanisms responsible for increased metabolic cost of walking in older adults are poorly understood. We recently proposed a theoretical premise by which age-related reductions in Achilles tendon stiffness (kAT) can disrupt the neuromechanics of calf muscle force production and contribute to faster rates of oxygen consumption during walking. The purpose of this study was to objectively evaluate this premise. We quantified kAT at a range of matched relative activations prescribed using electromyographic biofeedback and walking metabolic cost and ankle joint biomechanics in a group of 15 younger (age: 23±4 yrs) and 15 older adults (age: 72±5 yrs). Older adults averaged 44% lower kAT than younger adults at matched triceps surae activations during isokinetic dorsiflexion tasks on a dynamometer (p=0.046). Older adults also walked with a 17% higher net metabolic power (p=0.017) but indistinguishable peak Achilles tendon forces than younger adults. Thus, data implicate altered tendon length-tension relations with age more than differences in the operating region of those length-tension relations between younger and older adults. In addition, we discovered empirical evidence that lesser kAT - likely due to the shorter muscle lengths and thus higher relative activations it imposes - was positively correlated with higher net metabolic power during walking (r=-0.365, p=0.048). These results pave the way for interventions focused on restoring ankle muscle-tendon unit structural stiffness to improve walking energetics in aging.

Gender differences in longitudinal association of fear of falling with grip strength and depressive symptoms in older adults

The authors investigated the longitudinal associations of fear of falling (FOF) with grip strength and depressive symptoms. We also examined whether the longitudinal relationships are gendered. Data were obtained from the Korean Longitudinal Study of Aging from 2006 to 2018. A total of 6447 respondents from individuals aged 65 years or older (23,002 person-waves) were included. To account for the unobserved confounders, we estimated individual fixed effects (FE) regression models. Our results indicated that FOF is associated with grip strength and depressive symptoms. Older adults with fear of falling tend to have lower grip strength and great depressive symptoms. In gender-specific analyses, men with FOF are more likely to have lower grip strength and experience more depressive symptoms, while women with FOF are only more likely to present the latter. The authors of this study reveal the importance of managing FOF, which will help older adults age more healthily.

The Profiles of Health Aging in Older Ethiopian Adults within the WHO Healthy Aging Framework

AbstractThe World Health Organisation’s (WHO) Healthy Aging framework describes healthy aging as the maintenance of functional capacity in older adults. However, aging is a heterogeneous process influenced by genetics, lifestyle, and environmental factors, leading to variations in experiences of functional capacity among adults. In this study, Latent Class Analysis (LCA) classified groups of individuals based on their health and functional capacities. Adults from Northwest Ethiopia (n = 845) aged ≥ 60 years old, were interviewed about their cognition, mental health, social support, independence, and sensory functioning. LCA identified three groups, reflecting “high-“ (47.5%); "moderate-" (37.3%); and "low-functioning" (15.2%) participants. Compared to low-functioning individuals, high-functioning individuals were less likely to be aged 80+ (RR = 0.61; 95% CI: 0.46, 0.80), lonely (RR = 2.34; 95% CI: 1.72, 3.18), but more likely to report normal nutritional status (RR = 2.05; 95% CI: 1.47, 2.86), no multimorbidity (RR = 1.18; 95% CI: 1.06, 1.32), living in an urban area (RR = 1.12; 95% CI: 1.03, 1.22), and financially independent (RR = 1.24; 95% CI: 1.03, 1.49). Notably, almost half of the sample was classified as high functioning, comparable to findings from other developing countries. Those individuals in the high-functioning group who did not meet the WHO criteria for functional capacity across all domains did not differ from those individuals who did meet all the WHO criteria. This positively demonstrates that older adults do not need to be functional across all dimensions to experience healthy aging.

Weight loss rather than weight gain has a detrimental effect on successful aging in older adults: A 4-year longitudinal study in China

This study explored the effect of weight change on successful aging in older adults. A total of 1865 adults (≥65 years) were divided into the weight gain group (weight gain ≥5 %), the weight loss group (weight loss ≥5 %), and the weight stable group (weight change <5 %) according to weight changes over 4 years. Results showed that compared to the stable weight, the weight loss is associated with a lower rate of successful aging (OR=0.64, 95 % CI: 0.49-0.83), and the association was found greater in women (OR=0.61, 95 % CI: 0.43-0.86) and young-old adults (OR=0.66, 95 % CI: 0.41-0.88) than their counterparts. However, no significant association was found between weight gain and successful aging. The findings suggest that weight loss rather than weight gain in older adults has a detrimental impact on successful aging, and this detrimental impact is greater in women and young-old adults.

The Association Between Accelerated Biological Aging and Cardiovascular Outcomes in Older Adults with Hypertension.

Current hypertension treatments rely on chronological age, which may not reflect individual differences in aging and its impact on cardiovascular health. This study aimed to determine whether biological age can predict adverse outcomes in older adults with hypertension, independent of traditional risk factors including chronological age. An analysis of a prospective cohort was conducted using data from the Health and Retirement Study, a longitudinal survey of older adults in the United States. The Klemera-Doubal method was employed to calculate the biological age of the participants with hypertension at the time of enrollment in 2016. Discrete-time survival analysis was conducted to analyze the relationship between accelerated biological aging and the risk of mortality, heart disease, and stroke over four years of follow-up. A total of 4,442 individuals were analyzed. Of these, 2,438 showed decelerated aging, whereas 2,004 experienced accelerated aging (biological age > chronological age). The median age of the patients in both groups was around 70 years. Both groups had similar racial and ethnic distributions and predominantly consisted of non-Hispanic whites. The accelerated aging group had a higher prevalence of chronic diseases, lower education levels, and less wealth than the decelerated aging group. After adjustment for these differences, accelerated aging was associated with a higher risk of a composite outcome of death, heart disease, and stroke, with an adjusted hazard ratio (a-HR) of 1.62 (95% confidence interval: 1.27-2.06, p= 0.001). Accelerated biological age is a predictor of cardiovascular outcomes and death in patients with hypertension.

Prediction of Postoperative Delirium in Older Adults from Preoperative Cognition and Occipital Alpha Power from Resting-State Electroencephalogram.

Postoperative delirium is the most common complication following surgery among older adults, and has been consistently associated with increased mortality and morbidity, cognitive decline, and loss of independence, as well as markedly increased health-care costs. Electroencephalography (EEG) spectral slowing has frequently been observed during episodes of delirium, whereas intraoperative frontal alpha power is associated with postoperative delirium. We sought to identify preoperative predictors that could identify individuals at high risk for postoperative delirium, which could guide clinical decision-making and enable targeted interventions to potentially decrease delirium incidence and postoperative delirium-related complications. In this prospective observational study, we used machine learning to evaluate whether baseline (preoperative) cognitive function and resting-state EEG could be used to identify patients at risk for postoperative delirium. Preoperative resting-state EEGs and the Montreal Cognitive Assessment were collected from 85 patients (age = 73 +- 6.4 years, 12 cases of delirium) undergoing elective surgery. The model with the highest f1-score was subsequently validated in an independent, prospective cohort of 51 older adults (age = 68 +- 5.2 years, 6 cases of delirium) undergoing elective surgery. Occipital alpha powers have higher f1-score than frontal alpha powers and EEG spectral slowing in the training cohort. Occipital alpha powers were able to predict postoperative delirium with AUC, specificity and accuracy all >90%, and sensitivity >80%, in the validation cohort. Notably, models incorporating transformed alpha powers and cognitive scores outperformed models incorporating occipital alpha powers alone or cognitive scores alone. While requiring prospective validation in larger cohorts, these results suggest that strong prediction of postoperative delirium may be feasible in clinical settings using simple and widely available clinical tools. Additionally, our results suggested that the thalamocortical circuit exhibits different EEG patterns under different stressors, with occipital alpha powers potentially reflecting baseline vulnerabilities.

Chronic Musculoskeletal Pain is Associated With Depressive Symptoms in Community-Dwelling Older Adults Independent of Physical Activity. Experimental Aging Research

ABSTRACT Background Prevalence of chronic musculoskeletal pain and depressive symptoms in adults is high; however, whether there is an association between these conditions in older adults is unknown. Objective The aim of this study was to investigate the association of depressive symptoms with chronic musculoskeletal pain, and specifically with chronic LBP and knee osteoarthritis (OA), in community-dwelling older adults. In addition, we explored whether physical activity can mitigate these associations. Methods A cross-sectional study design. A cross-sectional study design. Participants recruited were older adults (age ≥60 years) living in the community. Chronic musculoskeletal pain was assessed by specific questions regarding the presence of chronic LBP and knee OA. Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale. Multivariable regression model adjusted for potential confounders (i.e., age, sex, economic status, body composition, and physical activity) was used to investigate the association between chronic musculoskeletal pain and depressive symptoms. Separate analyses were also conducted for older adults with LBP and with knee OA. Results A total of 509 (69% women) older adults were recruited. The regression analysis showed that musculoskeletal pain was associated with higher depressive symptoms ( β = 2.52, 95% CI: 0.50 to 4.54; p-value < .05) compared with older adults without chronic musculoskeletal pain. Similarly, in the fully adjusted model, which included physical activity, LBP was associated with higher depressive symptoms ( β = 2.80, 95% CI: 0.82 to 4.79; p-value < .01). The association between knee OA and depressive symptoms was not statistically significant after adjusting for physical activity ( β = 2.00, 95% CI: −0.13 to 4.13; p-value = .06). Conclusion Older adults with chronic musculoskeletal pain have higher depressive symptoms scores, when compared to those without musculoskeletal pain. Physical activity does not seem to influence this association.

Non-exercise-based interventions to support healthy ageing in older adults: A systematic review and meta-analysis of randomised controlled trials.

Healthy ageing is a multidimensional construct, where various factors play a role in influencing wellbeing in older age. Many studies heavily emphasise the importance of physical activity, negating other aspects such as psychosocial or cognitive influences. This review aimed to evaluate the effectiveness of non-exercise-based interventions on the quality of life (QoL) and life satisfaction of community-dwelling, healthy older adults. A systematic review and meta-analysis of randomised controlled trials was conducted. Four electronic databases were searched from inception. Three independent reviewers screened the articles and appraised the risk of bias. Data relating to study characteristics, intervention and outcomes were extracted. The mean difference and standardised mean difference with 95% confidence intervals were synthesised to pool effect sizes. Outcomes that could not be included in the meta-analysis were synthesised narratively. Thirty-six articles from 35 randomised controlled trials, involving 6,127 older adults, were included. Most were multi-component interventions and involved supporting lifelong learning. Most participants were females (70.2%). Pooled analyses revealed small but statistically significant effects on overall QoL (SMD=0.26, CI: 0.00 to 0.53), and QoL subscales relating to mental health and psychological wellbeing (SMD=0.26, CI: 0.12-0.41) and environment (SMD=0.31, CI: 0.03-0.58). Effects on social health and functioning, and role functioning related to physical health were marginal. There were no improvements in other subscales. Results revealed non statistically significant improvements in life satisfaction. Multicomponent non-exercise-based interventions that support lifelong learning in older adults can support healthy ageing, particularly in improving overall QoL, and mental health, social health and environment QoL subscales.

Delirium and risk of incident cardiovascular events in elderly: data from a global health research network

Abstract Introduction Delirium is a common complication of acute medical disorders. A strong association between cardiovascular events and the occurrence of delirium has been recorded. Thus far, no data are available regarding the risk of incident cardiovascular events after delirium onset in older adults. Methods Using data from TriNetX, a global health federated research network, we performed a propensity score matched (PSM) analysis of older adults (age ≥65 years) admitted to the emergency department (ED) reporting delirium within two weeks, who were compared with those without delirium. We evaluated the occurrence of a composite outcome of cardiovascular events (myocardial infarction, ischemic stroke, heart failure, intracranial haemorrhage, ventricular arrhythmias, takotsubo syndrome, and atrial fibrillation) at 30 days and 1 and 3 years of follow-up. Results 4,480,229 patients were retrieved for the analysis, and 82,693 (1.8%) reported delirium. Before PSM, patients reporting delirium were older, with more prevalent comorbidities. After PSM, a total of 165,386 patients were included in the analysis (mean (SD) age 76.6 (9.0) years, 51.1% females). Throughout the entire follow-up period, the cumulative composite cardiovascular events outcome was significantly higher in patients which reported delirium [Red Line, Figure 1]. Delirium was associated with cardiovascular events at 30 days (HR 1.96, 95% CI 1.92-2.00) ,1 year (HR 1.75, 95% CI 1.72-1.78) and 3 years (HR 1.67, 95% CI 1.64-1.69) of follow-up, as well as for each of its components (Table 1). The presence of delirium was also associated with a higher risk of all-cause death and hospital access (Table 1), evaluated as secondary outcomes. In patients with delirium associated with the occurrence of incident cardiovascular events, there was a higher risk of recurrent cardiovascular events at 1 year (HR 3.11, 95% CI 2.92-3.31) and 3 years (HR 2.84, 95% CI 2.67-3.01) of follow-up. Conclusions In a large, unselected cohort of older adults admitted to ED, occurrence of delirium was associated with a higher risk of cardiovascular events, both in the short and long-term follow-up.Figure 1:Delirium and CV EventsTable 1:Cox Regression Analysis

Adoption and Utilization of Telemedicine and Digital Health Services among Older Adults in Israel

Abstract Background As the population ages and the prevalence of long-term diseases rises, telecare is being used increasingly frequently to aid elderly people. Aims We aimed to explore the usage and adoption of 3 types of telehealth services among the senior population in Israel- prior, during, and after the COVID-19 pandemic rise in Israel. Methods We explored the usage characteristics of older adults (age 65 and above) belonging to ‘Clalit’, in the use of three types of telehealth services: digital services for administrative tasks, synchronous ‘online visits’ with the patient’s personal physician during clinic business hours, and ‘afterhours’ consultations during evenings, nights, and weekends. The data was collected and analyzed throughout three distinct time periods in Israel: before the COVID-19 pandemic, during the onset of the COVID-19 pandemic and following the COVID-19 ‘peak’. Results Data of 618850 patients who met the inclusion criteria was extracted. Telehealth services utilized for administrative purposes were the most popular. The older population significantly increased their use of all types of telehealth services during the COVID-19 period, and in the majority of types, this usage decreased after the COVID-19 peak, but to a level that was higher than the baseline level prior to the COVID-19 period. Prior to the COVID-19 period, 23.1% of the study population used ‘online visits’, and 2.2% used ‘afterhours’ consultations, at least once. The percentage of usage for these services increased during the COVID-19 period to 59.2% and 5.0%, and then decreased during the third period to 39.5% and 2.4%, respectively (P &amp;lt; 0.001). Multiple patient variables have been found to be associated with the use of the different telehealth services, in each time-period. Conclusions The senior population uses telehealth services, and can increase their consumption, when they are needed. Suitable and straightforward telehealth solutions tailored for this population should be created. Key messages • The senior population uses telehealth services, and can increase their consumption, when they are needed. • Suitable and straightforward telehealth solutions tailored for this population should be created.

Influences of tea consumption on self-rated health and life satisfaction among older adults: Evidence from the CLHLS.

The benefits of tea consumption as a special diet for health and life satisfaction have attracted considerable attention; however, it is not clear whether the effect of tea consumption on self-rated health (SRH) and self-rated life satisfaction (SRL) is equal among all types of tea, and it is unclear whether these associations are impacted by gender and age in older adults. This study aimed to examine the associations between tea consumption, SRH and SRL in older adults and to explore the role of gender and age. Participants aged 65-105 (N = 78,345) were interviewed in the years 2002, 2005, 2008, 2011, 2014 and 2018 in the Chinese Longitudinal Healthy Longevity Study (CLHLS). Generalized estimation equations (GEE) with the identity link function were adopted to estimate the cross-sectional associations of tea consumption with SRH and SRL. GEE with the logic link function were used to explore the longitudinal associations of tea consumption with SRH decline and SRL decline. Drinking tea at present, especially scented tea, was significantly associated with better SRH and SRL for older adults. Male participants benefited more from tea consumption than females, and the protective effect of green tea consumption on improving SRH and SRL in males was evident. Older adults aged 90-105 with current tea consumption daily had better SRH and reduced risk of SRL decline.

The epidemiology of type 1 diabetes mellitus in older adults.

Although type 1 diabetes mellitus (T1DM) is traditionally viewed as a youth-onset disorder, the number of older adults being diagnosed with this disease is growing. Improvements in the average life expectancy of people with T1DM have also contributed to the growing number of older people living with this disease. We summarize the evidence regarding the epidemiology (incidence, prevalence and excess mortality) of T1DM in older adults (ages ≥60 years) as well as the genetics, immunology and diagnostic challenges. Several studies report an incidence peak of T1DM in older adults of a similar size to or exceeding that in children, and population prevalence generally increases with increasing age. Glutamic acid decarboxylase antibody positivity is frequently observed in adult-onset T1DM. Guidelines for differentiating T1DM from type 2 diabetes mellitus in older adults recommend measuring levels of C-peptide and autoantibodies, including glutamic acid decarboxylase antibodies. However, there is no gold standard for differentiating T1DM from type 2 diabetes mellitus in people aged 60 years and over. As such, the global variation observed in T1DM epidemiology might be in part explained by misclassification, which increases with increasing age of diabetes mellitus onset. With a growing global population of older adults with T1DM, improved genetic and immunological evidence is needed to differentiate diabetes mellitus type at older ages so that a clear epidemiological picture can emerge.