Health Of Elderly Population Research Articles

The Influence of Lifestyle Modifications on Cardiovascular Outcomes in Older Adults: Findings from a Cross-Sectional Study

Background: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality among older adults. Lifestyle modifications, including diet, physical activity, and smoking cessation, are key to reducing cardiovascular risk. This study examines the combined effects of these behaviors on cardiovascular outcomes and their mediating mechanisms. Methods: A cross-sectional study was conducted among older adults (aged ≥ 60 years) in Riyadh, Saudi Arabia. Data on dietary quality, physical activity, and smoking status were collected using validated questionnaires. Cardiovascular outcomes, including low-density lipoprotein cholesterol (LDL), systolic blood pressure (SBP), and body mass index (BMI), were measured. A composite cardiovascular risk score was computed. Path analysis was employed to assess direct and indirect effects of lifestyle factors on cardiovascular outcomes. Results: Participants adhering to a healthy diet, engaging in regular physical activity, and avoiding smoking had significantly lower composite cardiovascular risk scores. Non-smoking status showed the strongest direct effect (β = −0.20, p = 0.006), while dietary quality and physical activity exhibited significant indirect effects mediated by LDL, SBP, and BMI. Combined adherence to multiple healthy behaviors resulted in the greatest reductions in cardiovascular risk. The path analysis highlighted dietary quality and physical activity as critical mediators of cardiovascular health improvements. Conclusions: Lifestyle modifications significantly reduce cardiovascular risk in older adults, with cumulative benefits observed for combined adherence to healthy behaviors. These findings emphasize the importance of comprehensive lifestyle interventions targeting diet, physical activity, and smoking cessation to promote cardiovascular health in aging populations.

Entertainment robots for automatic detection and mitigation of cognitive impairment in elderly populations

This study showed that using collaborative entertainment robots for human-robot interaction can be a promising way to help manage the health of ageing populations by automatically detecting and mitigating cognitive impairment. The system enhanced spoken interaction with users by using cutting-edge technologies such as state-of-the-art speech recognition, natural language processing, and machine learning. The system was tested on senior participants and gathered, analyzed, and displayed individual interaction models to provide automated user engagement, daily interaction monitoring, and automatic early detection of deteriorating mental health. The findings were presented using bar charts and confusion matrices, incorporating important metrics such as mental workload and speech/non-speech interaction graphic. These visualizations aided individuals in managing their behavior to achieve an optimal cognitive workload, a challenging measure to determine due to cognitive decline. In order to make significant progress in the subject, future advancements need to focus on addressing the unpredictability in human speech sequences, using non-speech modalities such as gestures or facial expressions as supplementary inputs to complement speech and behavior, and effectively managing concerns related to human rights and data protection. In addition to technological constraints, future research should prioritize the examination of the enduring impacts of cognitive therapies facilitated by entertainment robots

Uncovering a New Concept of Foodnality in Diet Recommendations for Chinese Aging Populations Based on Systematic and Bibliometric Review.

China is grappling with significant aging challenge, and food patterns play an important role in the health of aging populations. A comprehensive bibliometric analysis with regard to systematically examined population-based studies published between 1 June 2014 and 31 May 2024, and 83 eligible studies, including 43 cross-sectional, 34 longitudinal, and 6 case-control studies, was conducted to investigate the correlations among foods, dietary patterns, and healthy aging concepts. An interesting conclusion from cohort studies was that foods recommended for intake in certain diets might not be recommended in other diets, i.e., food items in various diets showed different contributions. This dual character of foods exhibited in the diet is termed foodnality, a new concept proposed in this study. Foodnality was partially related to the origins, quality, and processing of foods, as well as individual physical status. Therefore, recommended foods with positive foodnality and unrecommended foods with negative foodnality were summarized, and four-dimensional diet recommendations were further proposed, including choosing a suitable dietary pattern, evaluating positive foodnality, upgrading foodnality to a premium diet, and cultivating healthier dietary concepts. This review plays a pivotal role in evaluating the guidelines on food intake and dietary patterns among elderly residents in China.

Technology literacy and access to digital resources for remote assessment among adults enrolled in Alzheimer's disease research.

The SARS-CoV-2 pandemic accelerated development of innovative methods for conducting research remotely via digital technologies. However, few studies have examined participant technological literacy skills or access as key social determinants of brain health in aging populations at risk of Alzheimer's disease and other dementias. To identify associations of sociodemographic and clinical characteristics, cognitive status and geolocation with digital technology access and skill within dementia research cohorts. A self-administered questionnaire surveyed digital access and literacy skills in persons enrolled across various studies conducted at Emory Goizueta Alzheimer's Disease Research Center. We investigated cognitive and sociodemographic characteristics, and neighborhood disadvantage related to these digital attributes. Of 1860 participants (mean age: 65.3 years (SD:11.4)) surveyed, 71.6% were women, 87.1% Whites, 10.4% African Americans, and 46.9% had postgraduate-level education. Most participants had access to digital devices: desktop (53.7%), laptop (81.6%), tablet (71.6%), smartphone (94.6%), internet (82.0%), or videoconferencing (95.5%). Cognitively unimpaired participants had higher odds of digital access (OR:3.75; 95% CI:2.45-5.73) and skill (OR:1.22; 95% CI:1.14-1.30). Although Whites were likelier to have access (OR:1.36; 95% CI:1.01-1.82) than African Americans, no differences were found in skill between the two groups. Living in more disadvantaged neighborhoods was significantly associated with lower technology skills (OR:0.86; 95% CI:0.82-0.91). Cognitive impairment, race, and neighborhood socioeconomic disadvantage are significant barriers which limit digital access and skill. Improving digital knowledge, skill-building, and geographic access may encourage research participation especially in geographically remote or disadvantaged areas and help narrow sociodemographic and racial disparities existing in dementia research.

The efficiency of cardiac rehabilitation on cardio-pulmonary health in elderly populations

The efficiency of cardiac rehabilitation on cardio-pulmonary health in elderly populations

Residential greenness, air pollution and visual impairment: a prospective cohort study

ObjectiveThe aim of this study was to investigate the associations between residential greenness, air pollution (PM2.5, PM10, and NO2), and the risk of visual impairment in Chinese middle-aged and elderly adults.MethodsThe data were used from the China Health and Retirement Longitudinal Study (CHARLS), focusing on adults aged 45 years and older. Exposure to residential greenness was assessed using the Normalized Difference Vegetation Index (NDVI), while air pollution exposure (PM2.5, PM10, and NO2) was estimated from the ChinaHighAirPollutants dataset. Visual impairment was self-reported and categorized as distance visual impairment (DVI) and near visual impairment (NVI). Cox proportional hazards models were applied to investigate the associations between residential greenness, air pollution, and visual impairment. Furthermore, we investigated the potential modification and mediation relationship between residential greenness, air pollution and visual impairment.ResultsA total of 9,591 participants were included in this study. During a 7-year period, 2,650 cases of DVI and 3,130 cases of NVI were identified. In the single exposure model, a higher level of residential greenness was associated with a significantly reduced risk of both DVI and NVI. Specifically, for every 0.1 unit increase in NDVI, the hazard ratio (HR) was 0.68 (95%CI: 0.65,0.71) for DVI, and 0.67 (95%CI: 0.64,0.69) for NVI. Conversely, exposure to air pollution was positively associated with increased risks for both DVI and NVI. For each 10 µg/m3 increase in PM2.5, the HR was 1.60 (95%CI: 1.56,1.65) for DVI and 1.64 (95%CI: 1.60,1.69) for NVI. Similarly, PM10 and NO2 exposure showed elevated risks with HR of 1.28 (95%CI: 1.27,1.30) and 1.73 (95%CI: 1.62,1.85) for DVI, and 1.30 (95%CI: 1.28,1.32) and 1.82 (95%CI: 1.72,1.94) for NVI, respectively. The multiple exposure model also showed significant association between residential greenness, air pollution and visual impairment risk. Additionally, the adverse effects of PM2.5, PM10, and NO2 were attenuated in areas with the highest levels of residential greenness. Mediation analysis revealed that air pollution mediated a significant portion of the association between residential greenness and visual impairment.ConclusionThis study suggests that increased residential greenness may reduce the risk of visual impairment, partially by mitigating air pollution exposure. These findings highlight the environmental benefits to improve air quality and enhance green spaces, thereby promoting visual health in aging populations.

Association between gut microbiota and locomotive syndrome risk in healthy Japanese adults: a cross-sectional study

This cross-sectional study examined the association between gut microbiota composition and locomotive syndrome in 568 healthy Japanese adults (36.8% male, median age 58.5 years) using data from the Kanagawa “ME-BYO” Prospective Cohort Study. Locomotive syndrome was assessed using the 5-question Geriatric Locomotive Function Scale (GLFS-5). Linear discriminant analysis effect size showed an enrichment of Actinobacteria and depletion of Firmicutes in GLFS-5 positive individuals. Classification tree analysis identified three terminal nodes as GLFS-5 positive, with one node involving Holdemania. Participants aged ≥70.0 and <78.0 years who did not consume probiotic foods and had ≥0.04% relative abundance of Holdemania were classified as at risk for locomotive syndrome. Our findings suggest a potential association between gut microbiota, particularly higher Holdemania abundance, and locomotive syndrome in older adults. This study provides insights into the complex relationship between gut microbiome composition and musculoskeletal health in aging populations. However, the cross-sectional design limits causal inference.

Facial aging, cognitive impairment, and dementia risk

BackgroundFacial aging, cognitive impairment, and dementia are all age-related conditions. However, the temporal relation between facial age and future risk of dementia was not systematically examined.ObjectivesTo investigate the relationship between facial age (both subjective/perceived and objective) and cognitive impairment and/or dementia risk.MethodsThe study included 195,329 participants (age ≥ 60 y) from the UK Biobank (UKB) with self-perceived facial age and 612 participants from the Nutrition and Health of Aging Population in China Project (NHAPC) study (age ≥ 56 y) with objective assessment of facial age. Cox proportional hazards model was used to prospectively examine the hazard ratios (HRs) and their 95% confidence intervals (CIs) of self-perceived facial age and dementia risk in the UKB, adjusting for age, sex, education, APOE ε4 allele, and other potential confounders. Linear and logistic regressions were performed to examine the cross-sectional association between facial age (perceived and objective) and cognitive impairment in the UKB and NHAPC, with potential confounders adjusted.ResultsDuring a median follow-up of 12.3 years, 5659 dementia cases were identified in the UKB. The fully-adjusted HRs comparing high vs. low perceived facial age were 1.61 (95% CI, 1.33 ~ 1.96) for dementia (P-trend ≤ 0.001). Subjective facial age and cognitive impairment was also observed in the UKB. In the NHAPC, facial age, as assessed by three objective wrinkle parameters, was associated with higher odds of cognitive impairment (P-trend < 0.05). Specifically, the fully-adjusted OR for cognitive impairment comparing the highest versus the lowest quartiles of crow’s feet wrinkles number was 2.48 (95% CI, 1.06 ~ 5.78).ConclusionsHigh facial age was associated with cognitive impairment, dementia and its subtypes after adjusting for conventional risk factors for dementia. Facial aging may be an indicator of cognitive decline and dementia risk in older adults, which can aid in the early diagnosis and management of age-related conditions.

Fracture Risk Assessment in Elderly with Chronic Liver Disease and its Relationship with Serum Albumin Level

Abstract Background Falls and fractures have detrimental effect on health of elderly population. Detection of risk factors for this syndrome is crucial in its prevention, especially in populations suffering negative bone alterations such as patients with chronic liver disease (Stains et al., 2020). Objective To estimate and detect fracture risk factors among elderly with chronic liver disease and relation to serum albumin level. Subjects and Methods A case control study included total number of one hundred and thirty (130) participants recruited form the geriatric outpatient clinic in Ain Shams university hospital in Cairo and chosen by convenience sampling method. The study sample was distributed into two groups: cases (n = 65) with positive history of falls, fall related fracture or risk falls, while controls (n = 65) were negative for these factors. All subjects underwent comprehensive geriatric assessment with focus on liver disease, drug history, assessment of risk of falls using timed up and go test (TUG), with radiological assessment for chronic liver disease and laboratory assessment for serum albumin Results Age difference between cases and controls was statistically significant, where cases had higher mean (74.37 ± 7.17) compared to that of the control group (67.12 ± 5.81). the cases group had higher prevalence of females (66.2%) compared to the control group (44.6%). The diagnosis of hepatic focal lesion was also more prevalent among cases compared to controls (13.8% vs 1.5%). Lower serum albumin levels were found among cases (3.1 ± 0.46) compared to controls (3.1 ± 0.46). Conclusion Higher age, female sex and lower serum albumin level were associated with higher risk of falls, falls and fall related fractures in patients with chronic liver disease. Categories: Preventive Medicine, Public Health, Geriatrics.

A case for the use of deep learning algorithms for individual and population level assessments of mental health disorders: Predicting depression among China's elderly

BackgroundWith the continuous advancement of age in China, attention should be paid to the mental well-being of the elderly population. The present study uses a novel machine learning (ML) method on a large representative elderly database in China as a sample to predict the risk factors of depression in the elderly population from both holistic and individual level. MethodsA total of participants met the inclusion criteria from the fourth waves of the China Health and Retirement Longitudinal Study (CHARLS) were analyzed with ML algorithms. The level of depression was assessed by the 10-item Center for Epidemiological Studies Depression Scale (CESD-10). ResultsThe current study found top 5 factors that were important for predicting depression in the elderly population in China, including average sleep time, gender, age, social activities and nap time during the day. The results also provide reliable diagnostic likelihood at the individual level to support clinicians identify the most impactful factors contributing to patient depression. Our findings also suggested that activities such as interacting with friends and play ma-Jong, chess or join community clubs may have a positive collaborative effect for elderly's mental health. ConclusionsHolistic approaches are an effective method of deriving and interpreting sophisticated models of mental health in elderly populations. More detailed information about a patient's demographics, medical history, sleeping patterns and social/leisure activities can help to inform policy and treatment interventions on a population and individual level. Large scale surveys such as CHARLS are effective methods for testing the most accurate models, however, further research using professional clinical input could further advance the field.

Can tissue-specific PD-1/PD-L1 targeting combined with other immune checkpoint blockades enhance immune clearance?

Age-related disorders are exacerbated by senescent cells (SnCs) due to their secretion of proinflammatory molecules, yet current therapeutic strategies have limited success in preclinical settings and clinical trials. A novel approach is needed to enhance SnCs clearance by targeting immune checkpoints, particularly the PD-1/PD-L1 axis, combined with tissue-specific delivery of therapeutic agents. This strategy is critical in reducing the chronic inflammation and improving tissue health in aging populations. However, challenges such as immune evasion by SnCs and potential autoimmune responses must be addressed. The aim of this manuscript is to propose a combined approach to improve the efficacy of senolytic therapy.

Impact of physical activity on mental health in elderly population

Impact of physical activity on mental health in elderly population

Prevention of Dementia Through Physical Exercise and Cognitive Training: A Narrative Review

Background: Dementia reduces the ability to live independently, thus deteriorating the patient’s quality of life and caregivers' mental health. Consequently, dementia indirectly affects economic and social growth. Dementia is also a major contributor to death worldwide. There is no effective treatment for dementia, but preventing physical and cognitive inactivity among the elderly could help. Studies show that the risk of dementia increases in the elderly with mild cognitive impairment (MCI). Methods: This review set out to compare the effects of physical exercise (PE) and cognitive training (CT) on cognitive performance among the elderly with MCI, by examining the evidence from published literature between 2013-2023. Four major electronic databases were used to search the relevant studies, resulting in 2782 articles. A total of fourteen articles were included in the review. Results: The findings showed that interventions with naturally combined cognitive and physical training not only improved cognitive performance, but also prevented the elderly from stress and fatigue. Integrating physical exercise and cognitive training interventions with the best combination method is crucial to ensure participant adherence. Therefore, the intervention can be incorporated effectively into healthcare policies and programs to support cognitive health in aging populations. Conclusion: Future studies should also explore the optimal duration of training sessions to maximise cognitive benefits and ensure participant adherence and motivation.

The impact of age-related hearing loss on cognitive decline: The mediating role of brain age gap

In recent years, the relationship between age-related hearing loss, cognitive decline, and the risk of dementia has garnered significant attention. The significant variability in brain health and aging among individuals of the same chronological age suggests that a measure assessing how one’s brain ages may better explain hearing-cognition links. The main aim of this study was to investigate the mediating role of Brain Age Gap (BAG) in the association between hearing impairment and cognitive function.This research included 185 participants aged 20–79 years. BAG was estimated based on the difference between participant’s brain age (estimated based on their structural T1-weighted MRI scans) and chronological age. Cognitive performance was assessed using the Montreal Cognitive Assessment (MoCA) test while hearing ability was measured using pure-tone thresholds (PTT) and words-in-noise (WIN) perception. Mediation analyses were used to examine the mediating role of BAG in the relationship between age-related hearing loss as well as difficulties in WIN perception and cognition.Participants with poorer hearing sensitivity and WIN perception showed lower MoCA scores, but this was an indirect effect. Participants with poorer performance on PTT and WIN tests had larger BAG (accelerated brain aging), and this was associated with poorer performance on the MoCA test. Mediation analyses showed that BAG partially mediated the relationship between age-related hearing loss and cognitive decline.This study enhances our understanding of the interplay among hearing loss, cognition, and BAG, emphasizing the potential value of incorporating brain age assessments in clinical evaluations to gain insights beyond chronological age, thus advancing strategies for preserving cognitive health in aging populations.

Musculoskeletal Failure.

Osteoarthritis, osteoporosis, and sarcopenia are prevalent musculoskeletal disorders that significantly impact the aging population's health and quality of life. Osteoarthritis, characterized by joint inflammation, leads to pain, stiffness, and reduced mobility. Osteoporosis, a condition marked by bone density loss, increases fracture susceptibility, especially in postmenopausal women and older adults. Sarcopenia, the age-related loss of muscle mass and function, contributes to frailty and an increased risk of falls. Combined, osteoarthritis, osteoporosis and sarcopenia constitute "Musculoskeletal Failure." These 3 conditions share common risk factors like aging, genetics, and hormonal changes, as well as unhealthy lifestyle behaviors resulting in systemic chronic inflammation. Healthy lifestyle behaviors, including regular physical activity and a nutritious diet across the lifespan play a crucial role in the prevention and management of musculoskeletal failure. Awareness of the relationship between lifestyle behaviors, systemic chronic inflammation and the development and progression of these 3 common conditions is a key step in prevention, early detection and are essential for addressing the complex interplay of these musculoskeletal disorders. As the global population ages, understanding and effectively preventing and managing osteoarthritis, osteoporosis, and sarcopenia become paramount for promoting healthy aging and mitigating the societal and economic burden associated with these conditions.

Association of dietary selenium intake and all-cause mortality of Parkinson’s disease and its interaction with blood cadmium level: a retrospective cohort study

BackgroundParkinson’s disease (PD) is a slowly progressive neurodegenerating disease that may eventually lead to disabling condition and pose a threat to the health of aging populations. This study aimed to explore the association of two potential risk factors, selenium and cadmium, with the prognosis of Parkinson’s disease as well as their interaction effect.MethodsData were obtained from the National Health and Nutrition Examination Survey (NHANES) 2005–2006 to 2015–2016 and National Death Index (NDI). Participants were classified as Parkinson’s patients by self-reported anti-Parkinson medications usage. Cox regression models and restricted cubic spline models were applied to evaluate the association between PD mortality and selenium intake level as well as blood cadmium level. Subgroup analysis was also conducted to explore the interaction between them.ResultsA total of 184 individuals were included. In full adjusted cox regression model (adjusted for age, gender, race, hypertension, pesticide exposure, smoking status and caffeine intake), compared with participants with low selenium intake, those with normal selenium intake level were significantly associated with less risk of death (95%CI: 0.18–0.76, P = 0.005) while no significant association was found between low selenium intake group and high selenium group (95%CI: 0.16–1.20, P = 0.112). Restricted cubic spline model indicated a nonlinear relationship between selenium intake and PD mortality (P for nonlinearity = 0.050). The association between PD mortality and blood cadmium level was not significant (95%CI: 0.19–5.57, P = 0.112). However, the interaction term of selenium intake and blood cadmium showed significance in the cox model (P for interaction = 0.048). Subgroup analysis showed that the significant protective effect of selenium intake existed in populations with high blood cadmium but not in populations with low blood cadmium.ConclusionModerate increase of selenium intake had a protective effect on PD mortality especially in high blood cadmium populations.

Egg consumption and bone mass density among the elderly: A scoping review.

Eggs offer a range of essential nutrients that could support skeletal health as individuals age. Maintaining bone density is crucial for reducing the risk of fractures and improving overall mobility and quality of life in later years. Understanding the potential benefits of habitual egg consumption on bone mass density among older people is essential, given that the natural decline in bone mass density occurs with age. This area of research has not garnered sufficient attention basically because of the mixed reactions and conflicting reports about the safety of egg consumption especially among the older adults. This scoping review aims to systematically examine the existing literature to map the evidence regarding the association between habitual egg consumption and bone mass density in older adults' individuals. The scoping review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines to ensure methodological rigor and transparency. Five electronic databases were searched for published pieces of literature. While high egg intake has been linked to increased mortality and dyslipidemia, eggs contain compounds like Ovo transferrin and carotenoids that may benefit bone health. As aging increases vulnerability to bone fragility and fractures, it's crucial to provide comprehensive dietary recommendations. The complex relationship between egg consumption, cholesterol, and health highlights the need for nuanced assessment. Overall, eggs present a potentially valuable dietary component for promoting bone health in aging populations. Limited research on the link between egg consumption and bone mass density in older adults highlights the need for further investigation. Concerns about cholesterol have overshadowed potential benefits. Given aging populations and bone health challenges, exploring eggs' role in preventing falls and fractures is essential for a proactive approach to older adults' well-being.

Advancing Cognitive Health in Aging Populations by Leveraging Digital Assessment

Advancing Cognitive Health in Aging Populations by Leveraging Digital Assessment

Brief virtual intervention associated with increased social engagement and decreased negative affect among people aging with HIV

ABSTRACT Virtual Villages—online communities that deliver supports to promote aging in place—are proposed to mitigate isolation and support the health of aging populations. Using a community-engaged approach, we developed and pilot-tested a Virtual Village intervention tailored for people living with HIV (PLWH) aged 50+ . The intervention employed a Discord server featuring social interaction, regional and national resources, expert presentations, and mindful meditation exercises. In 2022, a sample of PLWH aged 50+ from three U.S. study sites participated in a four-week pilot. Pre- and post-intervention surveys assessed participants’ demographic characteristics; degree of loneliness, social connectedness, HIV-related stigma, and technology acceptance; mental wellbeing and physical health outcomes; and user experience. Participants (N = 20) were socioeconomically and racially/ethnically diverse, aged 51–88 years, and predominantly identified as gay or bisexual men (75%). Paired t-tests revealed a significant increase in participants’ mean social engagement scores and a significant decrease in participants’ mean negative affect scores, following the intervention. User experience scores were acceptable and participants reported a positive sense of connectedness to the Virtual Village community. Results suggest that a virtual community can be accessible to older PLWH and may enhance social engagement and improve aspects of mental wellbeing.

Adaptative computerized cognitive training decreases mental workload during working memory precision task - A preliminary fNIRS study

With the growing concern for the health of ageing populations, much research continues to look at the impact of cognitive training, particularly in relation to cognitive decline. We sought to use novel techniques, including augmented reality and portable neurotechnology, to evaluate the impact of a dynamically adjusting cognitive training programme, in comparison to a statically challenging alternative. Before and after an 8-week training period, and at a 5-week follow-up, we used portable functional Near Infrared Spectroscopy to examine mental workload in a mixed battery of cognitive and transfer tasks. A recently developed tablet-based task was used to identify changes in cognitive misbinding. Augmented Reality was used to create a supermarket shopping experience, as a more ecologically valid and realistic transfer task relating to an everyday task relating to independence that quickly becomes difficult with cognitive decline. The analyses showed a decreased mental workload within the dorsolateral prefrontal cortex and that participants considerably increased their performance in the trained task. Some results were maintained at the 5-week follow-up assessment. In terms of transfer, we observed reliable group differences immediately after training completion, which were mainly driven by distinct conditions. Some behavioural memory gains were maintained during the follow-up. The use of novel technologies brought new insights into the effects produced by the dynamic computerised cognitive training programme, which has potential future applications in cognitive decline screening and prevention.