Search Results (90)

Background/Objectives: Neurocognitive disorders (NCDs) encompass a spectrum of conditions that significantly impact cognitive domains, including attention, memory, and language. Mild NCD, increasingly prevalent with aging, represents an early stage of these disorders, characterized by cognitive deficits that do not interfere with daily functioning. Non-pharmacological therapies, especially cognitive stimulation, are widely recommended to preserve cognitive function of older adults. This study aimed to evaluate the effectiveness of a 12-week individual cognitive stimulation (iCS) program on cognitive performance, mood, and prefrontal cortex activation in older adults with mild NCD using a single-blind, randomized, parallel two-arm RCT. Methods: A sample of 36 older adults were selected from a central region of Portugal. The intervention group (n = 18) received 24 iCS sessions, twice weekly for 12 weeks. The control group (n = 18) completed their regularly scheduled activities. Outcomes included global cognitive function, executive functioning, and mood. All participants were assessed at baseline and after the intervention. Functional near infra-red spectroscopy (fNIRS) was also collected to measure prefrontal cortex activity at both time points in the intervention group. Results: The intervention group showed a significant improvement in global cognition and executive functions, and reduced depressive symptomatology compared to the control group. fNIRS data revealed enhanced activation and functional efficiency in the lateral prefrontal cortex following the iCS program. Adherence and degree of collaboration to the intervention were very high. Conclusions: These findings suggest that iCS is an effective approach to improving cognitive function and mood in mildly cognitively impaired older adults. Full article

Objectives: An aging population and declining birth rates are among the challenges that smart cities currently face and will continue to face in the near future. In light of the above, this article seeks to answer the following question: Are older people (seniors) taken into account and described in the literature on smart cities, and if so, how? Methods: To answer this research question, a systematic literature review was conducted using the Bibliometrix package in R. In the process of systematizing the publications, the authors additionally used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method and qualitative text analysis. Findings: The research shows that relatively little attention is paid to seniors in smart cities in the literature on the subject. Among the few publications on smart aging, the technological trend dominates, in which researchers present the possibilities of using IT and ICT to improve medical and social care for seniors, and to improve their quality of life (Smart Living, Smart Mobility). In the non-technological trend, most analyses focus on the determinants of quality of life and the distinguishing features of senior-friendly cities. Implications: There is a clear lack of a “human” perspective on aging in smart cities and publications on Smart Governance and Smart People that would provide guidelines for making elderly people full and equal stakeholders in smart cities. It is also necessary to develop practical documents and procedures that define a comprehensive and long-term urban policy for elderly adults. The analyses contribute to diagnosing current and determining further directions of research on smart aging in smart cities. The results clearly imply the need to intensify social, humanistic, and governance research on the role of seniors in smart cities. Full article

Background: Falls are a major public health concern among older adults, often resulting in injury, functional decline, and reduced quality of life. While handgrip strength (HGS), fall efficacy, and balance confidence have individually been associated with fall risk, their combined predictive value is still underexplored, particularly in physically active older adults. This study aimed to investigate the relationship between HGS, fall efficacy, and balance confidence and their association with fall risk in community-dwelling older adults engaged in regular exercise programs; A cross-sectional study was conducted with 280 participants aged 55 and over from community exercise programs near Lisbon, Portugal. Fall risk was assessed through self-reported falls in the past 12 months. HGS was measured with a dynamometer, fall efficacy using the Falls Efficacy Scale-International (FES-I), and balance confidence using the Activities-specific Balance Confidence (ABC) Scale. Statistical analyses included Spearman correlations and binary logistic regression. Results: Falls were reported by 26.4% of participants. Fall efficacy and balance confidence were significantly associated with fall history, while HGS was not. Fall efficacy was significantly associated with increased fall risk, as indicated by the odds ratio (OR = 3.37, p < 0.001), while balance confidence was negatively associated (OR = 0.95, p < 0.001). HGS was positively correlated with balance and confidence but not with fall incidence. Conclusions: Psychological factors, particularly fall efficacy and balance confidence, play a critical role in fall risk among physically active older adults. However, this study included physically active middle-aged and older adults living in the community, which should be considered when interpreting the generalizability of the results. These findings support the integration of simple, validated psychological assessments into fall prevention strategies in community settings. Full article

This observational pilot study investigated neurocardiovascular responses to an active stand test using continuous physiological monitoring and functional data analysis (FDA) in older women. A sample of 25 community-dwelling female adults aged 59–78 years (mean age: 70.3 years) participated. Participants were dichotomized into comparison groups based on five factors: age (<70 vs. ≥70 years); the presence of initial orthostatic hypotension (IOH, yes/no); body mass index (BMI < 25 vs. ≥25 kg/m²); antihypertensive medication use (yes/no); and physical frailty status assessed by the Survey of Health, Ageing and Retirement in Europe—Frailty Instrument (SHARE-FI score < −0.5 vs. ≥−0.5). Each participant completed an active stand test during which six physiological signals were continuously recorded: systolic (sBP) and diastolic (dBP) blood pressure and heart rate (HR) via digital artery photoplethysmography and left frontal oxygenated hemoglobin (O₂Hb), deoxygenated hemoglobin (HHb), and tissue saturation index (TSI) via near-infrared spectroscopy (NIRS). The signal analysis focused on a standardized 200 s window spanning 50 s before to 150 s after the stand, with all signals resampled and synchronized at 5 Hz. FDA was used to statistically compare the full time series between groups for each signal. Group-level differences revealed that younger participants (<70 years) exhibited significantly higher HR in multiple periods following the stand (~10 s, ~30 s, ~90 s, and ~140 s post-stand) compared to their older counterparts. Participants with IOH demonstrated significantly lower sBP at ~10 s, ~80 s, and ~130 s post-stand and lower dBP at ~10 s post-stand. Among participants classified as overweight/obese (BMI ≥ 25 kg/m²), significantly lower levels of HHb were observed at ~10 s, ~30–50 s, and ~60 s post-stand, while O₂Hb levels were reduced at ~50 s, ~60 s, ~70–110 s, ~130 s, and ~140 s post-stand. No statistically significant group-level differences were observed based on antihypertensive medication use or frailty status. These findings demonstrate the utility of FDA in detecting subtle, time-dependent physiological variations during orthostatic challenge and underscore the value of continuous neurocardiovascular monitoring in assessing orthostatic tolerance in aging populations. Full article

Large-language models (LLMs) show promise for automating evidence synthesis, yet head-to-head evaluations remain scarce. We benchmarked five state-of-the-art LLMs—openai/o1-mini, x-ai/grok-2-1212, meta-llama/Llama-3.3-70B-Instruct, google/Gemini-Flash-1.5-8B, and deepseek/DeepSeek-R1-70B-Distill—on extracting protocol details from transcranial direct-current stimulation (tDCS) trials enrolling older adults. A multi-LLM ensemble pipeline ingested ClinicalTrials.gov records, applied a structured JSON schema, and generated comparable outputs from unstructured text. The pipeline retrieved 83 aging-related tDCS trials—roughly double the yield of a conventional keyword search. Across models, agreement was almost perfect for the binary field brain stimulation used (Fleiss κ ≈ 0.92) and substantial for the categorical primary target (κ ≈ 0.71). Numeric parameters such as stimulation intensity and session duration showed excellent consistency when explicitly reported (ICC 0.95–0.96); secondary targets and free-text duration phrases remained challenging (κ ≈ 0.61; ICC ≈ 0.35). An ensemble consensus (majority vote or averaging) resolved most disagreements and delivered near-perfect reliability on core stimulation attributes (κ = 0.94). These results demonstrate that multi-LLM ensembles can markedly expand trial coverage and reach expert-level accuracy on well-defined fields while still requiring human oversight for nuanced or sparsely reported details. The benchmark and open-source workflow set a solid baseline for future advances in prompt engineering, model specialization, and ensemble strategies aimed at fully automated evidence synthesis in neurostimulation research involving aging populations. Overall, the five-model multi-LLM ensemble doubled the number of eligible aging-related tDCS trials retrieved versus keyword searching and achieved near-perfect agreement on core stimulation parameters (κ ≈ 0.94), demonstrating expert-level extraction accuracy. Full article

This study aimed to investigate the effects of acoustically screened Five-Element Music combined with traditional Chinese mind–body exercises (Taijiquan and Baduanjin) on emotion regulation, working memory, and functional brain connectivity in older adults. A randomized repeated-measures design was employed, recruiting 42 healthy older adults aged 60–70 years. Participants were assigned to five groups: Five-Element Music alone (FE), Taijiquan (TJ), Baduanjin (BDJ), Five-Element Music combined with Taijiquan (FE+TJ), and Five-Element Music combined with Baduanjin (FE+BDJ). Emotion regulation, working memory, and functional brain connectivity were assessed using an emotion regulation choice task, the N-back task, and functional near-infrared spectroscopy (fNIRS), respectively. Five-Element Music was selected using computational acoustic methods to identify music with therapeutic effects. Significant differences were observed in the acceptance rate of emotion regulation for high-intensity unpleasant pictures across different conditions (p = 0.001). Compared to baseline, the acceptance rate was significantly higher in the FE and FE+TJ conditions (p = 0.027, p = 0.021). Moreover, the acceptance rate in the FE+TJ condition was significantly higher than in the FE condition alone (p = 0.007). Significant differences were found in the average accuracy of the 2-back task across conditions (p = 0.001), with the FE+TJ condition showing significantly higher accuracy than baseline (p = 0.005). The average reaction time in the 2-back task also differed significantly across conditions (p = 0.001), with the FE condition demonstrating a significantly lower reaction time compared to baseline and the FE+BDJ condition (p = 0.003, p = 0.001). Significant differences in functional connectivity (FC) were observed between conditions. Specifically, the FC between CH45 and CH9 and between CH29 and CH6 was significantly higher in the FE+TJ condition than in other conditions (p < 0.02). The combination of Five-Element Music and Taijiquan significantly improved emotion regulation, working memory, and prefrontal–parietal connectivity in older adults. These findings underscore the synergistic benefits of integrating auditory stimulation with mind–body exercise, offering a promising intervention for cognitive and emotional health in aging populations. Future research should investigate long-term effects and broader applications. Full article

Background/Objectives: This study explores variations in brain activity between individuals with dementia of the Alzheimer’s type (DAT) and healthy older adults during a resting state using functional near-infrared spectroscopy (fNIRS). Methods: FNIRS measured brain activity in ten AD patients and six healthy individuals. A device with 16 channels was placed on each participant’s forehead to measure oxygenation levels while they kept their eyes closed. The data were analyzed using a support vector machine (SVM) model. Results: The results indicated differences in oxygenated hemoglobin (HbO) levels between the two groups. Specifically, HbO levels were generally higher in the dementia group in the left hemisphere, with a sharp increase after 26 s. Conversely, HbO levels were consistently lower in the right hemisphere of the dementia group. The SVM analysis demonstrated high accuracy in differentiating between the AD and healthy groups based on HbO levels. Conclusions: The study indicates that differences in brain activity during resting state can potentially distinguish people with DAT from healthy individuals. We found relatively reduced hemoglobin activity in the prefrontal areas of those with DAT. Furthermore, the concentration changes in the HbO in the left lateral prefrontal and right medial brain regions emerged as the most informative in distinguishing individuals with DAT from healthy individuals. The results of the current study show that this method could improve current DAT diagnostic practices due to its efficiency. Full article

Aging is associated with cognitive decline, significantly impacting quality of life. Drumming-based cognitive and physical training, a novel intervention, engages motor and cognitive circuits simultaneously, potentially improving executive functions and emotional regulation in older adults. A randomized controlled trial (RCT) was conducted with 40 participants aged 55 years and older, assigned to either an experimental group receiving drumming-based training or a control group undergoing conventional memory exercises. The intervention lasted four weeks, consisting of 30-min training sessions three times per week. Functional near-infrared spectroscopy (fNIRS) was employed to measure brain activity, while cognitive and emotional outcomes were assessed through standardized tests, including the Mini-Mental State Examination (MMSE) and the Geriatric Depression Scale (GDS). Task performance metrics, such as accuracy and success rates, were also recorded. Experimental group exhibited significant improvements in cognitive performance, including a greater number of correct answers (p = 0.0004) and a higher task success rate (p = 0.0001) compared to the control group. fNIRS data revealed increased oxygenated hemoglobin levels in the left orbitofrontal cortex (OFC) (p = 0.028). This study provides compelling evidence that a drumming-based cognitive and physical training program can lead to significant cognitive and emotional benefits in older adults. Full article

Background: Postural symmetry ensures balanced alignment and equal weight distribution, promoting optimal function and minimizing stress on muscles and joints. This study aimed to evaluate lower limb movement symmetry in response to mechanical perturbations. Methods: Twelve healthy young women were subjected to mechanical perturbation tests while standing on the Motek GRAIL system treadmill. Maximum values of kinematic and kinetic parameters and symmetry indices were counted to compare the responses of dominant and non-dominant limbs. Results: The study identified symmetrical and asymmetrical features in lower limb dynamics. Symmetry nearness was observed in the ankle joint angle (SI = 0.03), the hip torque (SI = 0.03), and the vertical component of the ground reaction force (SI = 0.04). However, significant asymmetries were found in the medio-lateral component of the ground reaction force (SI = 1.84), ankle torque (SI = 0.23), knee torque (SI = 0.19), hip angle (SI = 0.15), and knee angle (SI = 0.08). The anterior–posterior component of the ground reaction force (SI = 0.14) showed asymmetry but was not statistically significant. Conclusions: Perturbations impact lower limb dynamics, revealing dominance- and joint-specific asymmetries. Bilateral assessment is crucial for understanding postural control, guiding rehabilitation to restore symmetry, and reducing the risk of injuries, falls, and musculoskeletal strain, particularly in athletes and older adults. These findings emphasize the value of symmetry indices in optimizing therapy and prevention strategies. Full article

Mesosaurs have long been considered to be small to mid-sized aquatic to semiaquatic amniotes that lived in Gondwana during the Early Permian or Late Carboniferous, according to recent research that showed their ghost range extending back to the Pennsylvanian. Previous morphometric analyses based on several hundred mesosaur specimens, including materials from Uruguay, Brazil, South Africa, Namibia, and the Paris National History Museum, provided a comprehensive understanding of mesosaur ontogeny, documented from fetus to adults. As a result, it was possible to determine the approximate size of any individual, measuring just one isolated limb bone, vertebrae, or even cranial elements. Herein, we describe large, poorly preserved and incomplete skulls, as well as axial and appendicular bones, from the Mangrullo Formation Konservat-Lagerstätte of Uruguay that suggest the existence of gigantism in mature mesosaurs reaching more than twice the size of previously described adults and type specimens. The sporadic occurrence of these giant individuals contrasts sharply with the abundant remains of young mesosaurs and, in general, with what is commonly found in the fossil record of vertebrates. The poor preservation of the mature individuals and their presence in coastal areas of the basin is consistent with the hypothesis that older mesosaurs have spent more time near the coast. An alternative hypothesis suggesting pelagic lifestyles is less supported by the available data. Given the preservation of unborn and hatchlings, as well as early juvenile, mature and very mature individuals, the mesosaur record is considered exceptional among early amniotes. Full article

Mild cognitive impairment (MCI) affects nearly 20% of older adults worldwide, with no targetable interventions for prevention. COVID-19 adversely affects cognition, with >70% of older adults with Long COVID presenting with cognitive complaints. Neurovascular coupling (NVC), an essential mechanism of cognitive function, declines with aging and is further attenuated in neurocognitive disorders. The effect of COVID-19 on NVC responses has yet to be addressed in older adults who are vulnerable to dementia progression. Participants with MCI and a history of COVID-19 (COV+, N = 31) and MCI participants with no history of infection (COV− N = 11) participated in this cross-sectional study to determine if COVID-19 affects cerebrocortical NVC responses and vascular function. Functional near-infrared spectroscopy was used to measure cerebrocortical NVC responses, and endothelial function was assessed via insonation of the brachial artery during a flow-mediated dilation protocol. NVC responses were elicited by the working memory n-back paradigm. NVC in the left dorsolateral prefrontal cortex and endothelial function was decreased in the COV+ group compared to the COV− group. These data provide mechanistic insight into how COVID-19 may exacerbate long-term cognitive sequela seen in older adults, highlighting the urgent need for further research and clinical trials to explore novel therapeutic interventions aimed at preserving/restoring NVC. Full article

Social interaction, such as voluntary employment, can promote well-being and mental health for older people. Since walking and public transit are two major commuting modes for older adults, understanding the determinants of older employment behavior near metro stations is critical for the government and urban planners to encourage older employment. Using the mobile signaling data of 1,640,145 older employees and other multi-source spatiotemporal datasets in Shanghai, the Light Gradient Boosting Machine (LightGBM) is employed in this study to explore the nonlinear effects of the built environment on older employment near 333 metro stations. Results show that density, diversity, and design variables have a significant contribution on older employment, while distance to the city center, employment density among all age groups, and the number of older residents are the top three important variables. Partial dependence plots reveal that all independent variables have irregular nonlinear impacts on older employment. Each variable needs to reach an associated threshold to maximize older employment, and their nonlinear impacts are only effective when they are within certain ranges. Research findings can promote older employment and benefit mental health among older people by helping the government prioritize urban planning policies or interventions. Full article

This article describes and reflects upon the work of a co-research team on the Healthy Ageing in Scotland (HAGIS) ‘COVID-19 Impact and Recovery’ study (January 2021 to November 2022). The co-research team (seven older adults and three academics) was constituted near the start of this project; the team contributed to the development of recruitment materials and research tools and undertook qualitative research and analysis with older adults living across Scotland. This article provides a collaborative autoethnography about the activities undertaken by the team, the impact of the co-research process on the individuals involved, and the research findings and reflects the realities of co-research during the COVID-19 pandemic. Team members describe benefits, including increased confidence, new skills, and social connections, and reflect on the increased validity of the findings through their close involvement in the co-creation of knowledge. The process of team building and the adoption of an ‘ethics of care’ in our practice underpinned the success of this project and the sustainability of the group during and after the challenging circumstances of the pandemic. Full article

Falls are a major health hazard for older adults; therefore, in the context of an aging population, predicting the risk of a patient suffering falls in the near future is of great impact for health care systems. Currently, the standard prospective fall risk assessment instrument relies on a set of clinical and functional mobility assessment tools, one of them being the Timed Up and Go (TUG) test. Recently, wearable inertial measurement units (IMUs) have been proposed to capture motion data that would allow for the building of estimates of fall risk. The hypothesis of this study is that the data gathered from IMU readings while the patient is performing the TUG test can be used to build a predictive model that would provide an estimate of the probability of suffering a fall in the near future, i.e., assessing prospective fall risk. This study applies deep learning convolutional neural networks (CNN) and recurrent neural networks (RNN) to build such predictive models based on features extracted from IMU data acquired during TUG test realizations. Data were obtained from a cohort of 106 older adults wearing wireless IMU sensors with sampling frequencies of 100 Hz while performing the TUG test. The dependent variable is a binary variable that is true if the patient suffered a fall in the six-month follow-up period. This variable was used as the output variable for the supervised training and validations of the deep learning architectures and competing machine learning approaches. A hold-out validation process using 75 subjects for training and 31 subjects for testing was repeated one hundred times to obtain robust estimations of model performances At each repetition, 5-fold cross-validation was carried out to select the best model over the training subset. Best results were achieved by a bidirectional long short-term memory (BLSTM), obtaining an accuracy of 0.83 and AUC of 0.73 with good sensitivity and specificity values. Full article

The world is facing a significant demographic transition, with a substantial increase in the proportion of older persons, as well as long-lived persons (especially nonagenarians and centenarians). One of the popular beliefs is that old age is synonymous with disease and disability. However, the successful aging hypothesis suggests that those older persons with advanced chronological age who maintain their functional capacity derive from it a delay in biological aging, enhancing the quality of organic aging and regulation. Therefore, regardless of chronological age, even in cases of extreme longevity, those older adults with a successful aging phenotype and favorable functional capacity would be expected to have satisfactory post-surgical recovery with a low risk of morbidity and mortality. Currently, there is a significant gap between the availability of high-certainty surgical evidence that allows for evidence-based interventions applicable to the long-lived population—taking into account the actual conditioning factors of the health phenotype in older persons—and, above all, predictors of satisfactory post-surgical evolution. The application of meta-research to geriatric surgery emerges as a fundamental tool to address this knowledge gap and reveals opportunities and limitations that need to be resolved in the near future to establish evidence-based surgical care for older persons. The aim of this manuscript was to present a real and globally relevant scenario related to surgical care, addressing the longevity, the availability, and the quality of surgical evidence applicable to this population, and also to present variables to consider in analysis and future perspectives in research and meta-research in geriatric surgery. Full article