Search Results (180)

Background/Objectives: Aging is often accompanied by physical and cognitive decline, affecting older adults’ mobility. Virtual reality (VR) offers innovative opportunities to safely practice everyday tasks, such as street crossing. This study was designed as a feasibility and pilot study to explore acceptance, usability, and preliminary effects of a VR-based road-crossing intervention for older adults. It investigates the use of virtual reality (VR) as an innovative training tool to support senior citizens in safely navigating everyday challenges such as crossing roads. By providing an immersive environment with realistic traffic scenarios, VR enables participants to practice in a safe and controlled setting, minimizing the risks associated with real-world road traffic. Methods: A VR training application called “Wegfest” was developed to facilitate targeted road-crossing practice. The application simulates various scenarios commonly encountered by older adults, such as crossing busy streets or waiting at traffic lights. The study applied a single-group pre-post design. Outcomes included the Timed Up and Go test (TUG), Falls Efficacy Scale-International (FES-I), and Montreal Cognitive Assessment (MoCA). Results: The development process of “Wegfest” demonstrates how a highly realistic street environment can be created for VR-based road-crossing training. Significant improvements were found in the Timed Up and Go test (p = 0.002, d = 0.784) and fall-related self-efficacy (FES-I, p = 0.005). No change was observed in cognitive function (MoCA, p = 0.56). Participants reported increased subjective safety (p < 0.001). Discussion: The development of the VR training application “Wegfest” highlights the feasibility of creating realistic virtual environments for skill development. By leveraging immersive technology, both physical and cognitive skills required for road-crossing can be effectively trained. The findings suggest that “Wegfest” has the potential to enhance the mobility and safety of older adults in road traffic through immersive experiences and targeted training interventions. Conclusions: As an innovative training tool, the VR application not only provides an engaging and enjoyable learning environment but also fosters self-confidence and independence among older adults in traffic settings. Regular training within the virtual world enables senior citizens to continuously refine their skills, ultimately improving their quality of life. Full article

This study, in response to the optimization needs of fall risks for the elderly in the context of cultural and tourism integration in Hebei Province, China, established a quantitative correlation system between ten gait parameters and ten types of spatial risk factors. By collecting gait data (Qualisys infrared motion capture system, sampling rate 200 Hz) and spatial parameters from 30 elderly subjects (with mild, moderate, and severe functional impairments), a multi-level regression model was established. This study revealed that step frequency, step width, and step length were nonlinearly associated with corridor length, door opening width, and step depth (R² = 0.53–0.68). Step speed, ankle dorsiflexion, and foot pressure were key predictive factors (OR = 0.04–8.58, p < 0.001), driving the optimization of core spatial factors such as threshold height, handrail density, and friction coefficient. Step length, cycle, knee angle, and lumbar moment, respectively, affected bed height (45–60 cm), switch height (1.2–1.4 m), stair riser height (≤35 mm), and sink height adjustment range (0.7–0.9 m). The prediction accuracy of the ten optimized values reached 86.7% (95% CI: 82.1–90.3%), with Hosmer–Lemeshow goodness-of-fit x² = 7.32 (p = 0.412) and ROC curve AUC = 0.912. Empirical evidence shows that the graded optimization scheme reduced the fall risk by 42–85%, and the estimated fall incidence rate decreased by 67% after the renovation. The study of the “abnormal gait—spatial threshold—graded optimization” quantitative residential layout optimization provides a systematic solution for the data-quantified model of elderly-friendly residential renovations. Full article

Air pollution is a major environmental and public health challenge, especially in urban areas where fine-grained air quality data are essential to effective interventions. Traditional monitoring networks, while accurate, often lack spatial resolution and public engagement. This study presents a novel wearable wireless sensor node (WSN) that was developed within the Horizon Europe SOCIO-BEE project to support air quality monitoring through citizen science (CS). The low-cost, body-mounted WSN measures NO₂, O₃, and PM_2.5. Three pilot campaigns were conducted in Ancona (Italy), Maroussi (Greece), and Zaragoza (Spain), and involved diverse user groups—seniors, commuters, and students, respectively. PM_2.5 sensor data were validated through two approaches: direct comparison with reference stations and spatial clustering analysis using K-means. The results show strong correlation with official PM_2.5 data (R² = 0.75), with an average absolute error of 0.54 µg/m³ and a statistical confidence interval of ±3.3 µg/m³. In Maroussi and Zaragoza, where no reference stations were available, the clustering approach yielded low intra-cluster coefficients of variation (CV = 0.50 ± 0.40 in Maroussi, CV = 0.28 ± 0.30 in Zaragoza), indicating that the measurements had high internal consistency and spatial homogeneity. Beyond technical validation, user engagement and perceptions were evaluated through pre-/post-campaign surveys. Across all pilots, over 70% of participants reported satisfaction with the system’s usability and inclusiveness. The findings demonstrate that wearable low-cost sensors, when supported by a structured engagement and data validation framework, can provide reliable, actionable air quality data, empowering citizens and informing evidence-based environmental policy. Full article

The emergence of AI companion robots is transforming the landscape of elderly care, offering numerous conveniences to senior citizens when their children are not around. This trend is particularly pertinent in ageing societies such as China. Against this backdrop, the present study aims to explore the acceptance of AI companion robots among the elderly from a user-centric perspective. By leveraging insights from existing studies in the literature, we identified three individual characteristic variables—technology optimism, innovativeness, and familiarity—to extend the Artificial Intelligence Device Use Acceptance (AIDUA) model. Subsequently, we developed a conceptual model which was empirically tested through structural equation modelling (SEM) analysis. Our dataset comprised responses from 452 elderly individuals in China. The results revealed that technology optimism and innovativeness were positively associated with performance expectancy and effort expectancy, whereas familiarity inversely predicted perceived risk. Furthermore, emotion was found to be positively influenced by performance expectancy and effort expectancy but negatively impacted by perceived risk. This research extends the AIDUA model within the context of AI companion robots by integrating individual characteristic variables. These findings offer valuable insights for the design and development of companion robots and enrich the domain of Human–Robot Interaction (HRI). Full article

Urban allotment gardens are increasingly recognized as multifunctional spaces that contribute not only to ecological sustainability, but also to social cohesion, civic engagement and community resilience. This study explores the role of urban gardens in the city of Valencia as green spaces that (re)produce social capital, as well as spaces produced by consolidated social capital. Using a qualitative methodology, fifteen in-depth interviews were conducted with key informants with experience in the coordination, management, study and promotion of urban garden projects. The analysis focuses on three interconnected dimensions: the strategic objectives guiding organizations involved, the core elements of social capital (networks, belonging, trust, reciprocity and values) and the governance models underpinning these initiatives. The results reveal that urban gardens function as relational infrastructures, facilitating intergenerational learning, intercultural exchange and inclusive participation through both formal and informal mechanisms. These processes are often rooted in local traditions and are underpinned by shared responsibilities and symbolic reciprocity. However, exclusionary attitudes and fragmented governance can limit their potential. In general, the results emphasize the value of urban gardens as platforms for the (re)production of social capital and the improvement of community well-being, which entails relevant implications for urban policies and sustainable development. Full article

As climate change intensifies the frequency and severity of urban heatwaves, elderly populations are becoming increasingly vulnerable to outdoor thermal stress, particularly in dense Mediterranean cities. This study addresses the critical need for micro-scale, climate-responsive design strategies that enhance thermal comfort for aging residents in historically underserved urban neighborhoods. Focusing on the refugee-built area of Nikea in Greater Athens, this research explores the effectiveness of nature-based solutions (NBS) in mitigating extreme heat through spatial interventions tailored to the needs of older adults. Using ENVI-met 5.6.1, two scenarios were simulated: a baseline scenario reflecting existing urban conditions and an optimal scenario incorporating mature tree planting and water features. The results are analyzed across three key time points—morning, peak afternoon, and evening—to capture diurnal thermal variations. The findings demonstrate that NBS significantly reduce the Physiological Equivalent Temperature (PET), with peak improvements exceeding 14 °C in shaded zones. This study highlights the value of fine-grained, nature-based urban interventions in promoting thermal equity and supporting climate adaptation for vulnerable populations. Full article

Background: As people age, their physical functions decline, and changes in social roles and life experiences put older adults at a higher risk of social isolation. Methods: In this study, we employed both snowball and purposive sampling techniques to collect valid data from 237 seniors aged 60 to 75 residing in Hunan Province. Using structural equation modeling (SEM) with the partial least squares (PLS) method, we examined the relationship between physical activity and social isolation among this elderly population. Result: Findings from this study indicate a positive association between physical activity and regulatory emotional self-efficacy, while revealing a negative association with the perception of being a burden to others. Moreover, a higher regulatory emotional self-efficacy is linked to reduced social isolation, whereas an increased sense of self-perceived burden is associated with greater social isolation. This study also uncovers that the link between physical activity and reduced social isolation is influenced by both regulatory emotional self-efficacy and the perception of self-burden. Conclusion: It is imperative for a collaborative effort involving government entities, societal groups, family units, and individuals to meticulously address and cater to the diverse requirements of senior citizens. Full article

This study empirically analyzed whether any differences exist in older adults’ motivations to use senior citizen centers based on the type of eldercare system, focusing on senior citizen centers in Yeongdo-gu, Busan, South Korea. First, the main factors influencing older adults’ use of senior citizen centers were identified through previous studies. Subsequently, data were collected through a survey. Data groups were categorized according to the type of eldercare system, and multiple regression analysis was conducted to assess the association between the main variables for each type of eldercare system. It was found that the primary age group of older adults using senior citizen centers was 65–69 years, with home- and community-based care being their primary choices. Furthermore, community-based and institutional care facilitated connections within the community, encouraged social interaction among older adults, and fostered intergenerational interaction and social contribution. Home-based care was strongly motivated by emotional stability and the desire to maintain independent living. Finally, participation in cultural activities was common and significant across all eldercare system types, confirming that senior citizen centers play a crucial role in providing cultural experiences and opportunities for older people, as opposed to simply serving as recreational spaces. Full article

Restoring strength, function, and mobility following an illness, accident, or surgery is the primary goal of upper arm rehabilitation. Exoskeletons offer adaptable support, enhancing patient engagement and accelerating recovery. This work proposes an adjustable, wearable robotic exoskeleton powered by electromyography (EMG) data for upper arm rehabilitation. Three activation levels—low, medium, and high—were applied to the EMG data to forecast the Pulse Width Modulation (PWM) based on the range of motion (ROM) angle. Conventional machine learning (ML) models, including K-Nearest Neighbor Regression (K-NNR), Support Vector Regression (SVR), and Random Forest Regression (RFR), were compared with neural network approaches, including Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) to determine the best ML model for the ROM angle prediction. The LSTM model emerged as the best predictor with a high accuracy of 0.96. The system achieved 0.89 accuracy in exoskeleton control and 0.85 accuracy in signal categorization. Additionally, the proposed exoskeleton demonstrated a 0.97 performance in ROM correction compared to conventional methods (p = 0.097). These findings highlight the potential of EMG-based, LSTM-enabled exoskeleton systems to deliver accurate and adaptive upper arm rehabilitation, particularly for senior citizens, by providing personalized and effective support. Full article

In the era where digital technologies are becoming increasingly prevalent, it is anticipated that a majority of the global population will have at least a basic understanding of informatics. However, empirical evidence suggests that a significant portion of the global population remains digitally illiterate. This phenomenon is particularly pronounced in the case of the senior adult population. In light of the aforementioned challenges, this work integrates Computer Science Unplugged exercises, based on games and recreational activities without the use of computers, and L2T2L, a learning-by-teaching methodology whereby university students learn and then, in turn, teach that learning to other populations in a cascading manner. A case study was conducted in Lima, Peru, with the participation of 140 volunteers from centres for the elderly. Thirty-five students and one teacher from the Universidad Científica del Sur were responsible for initiating the transfer of knowledge from the university to the senior citizens, with the assistance of twelve individuals responsible for their care. The results demonstrate that the participants attained a commendable level of comprehension when attempting to complete all of the assigned tasks. Furthermore, the efficacy of L2T2L is evident in its adaptability and suitability for scenarios beyond those for which it was originally designed. Full article

Background/Objectives: Academic libraries offer a range of activities and initiatives for their students and community users. However, wellbeing, as a concept in academic libraries, is not very well defined and is poorly understood. The objective of this scoping review was to examine the role of academic libraries in student and community wellbeing, identify the various kinds of activities and initiatives that they carry out to address their wellbeing, and uncover gaps that might require further research. Methods: An extensive search was conducted in the Library Information Sciences Association (LISA), Education Resources Information Centre (ERIC), Medline (OVID), Scopus, and Web of Science (WOS) databases. Grey literature was searched on a selection of library websites and digital repositories. Data were extracted from studies that met the inclusion criteria for the scoping review. Themes were identified by the authors and reported as a narrative summary. Results: Of the 5437 records identified, a total of 40 documents were included in this scoping review. The authors identified 11 different kinds of activities and initiatives carried out in academic libraries that promote student and community wellbeing, i.e., (1) animal-assisted activities; (2) facilitating dialogues about belonging and identity; (3) fun recreational activities; (4) study support; (5) physical activity promotion; (6) meditation, yoga, and mindfulness; (7) book clubs; (8) art exhibitions; (9) technology and digital support; (10) free food and tea; and (11) health awareness. These activities were found to promote the physical, emotional, and social wellbeing of student and community users. Conclusions: This review highlights the need for further systematic research on the long-term effects of wellbeing initiatives and activities on both student and community users, and how they might impact aspects of wellbeing for specific population groups such as senior citizens and LGBTQIA members. This scoping review demonstrates the potential of academic libraries in promoting health and wellbeing for their users. Full article

This study addresses the critical challenge of optimizing spatial arrangements for the elderly in rapidly aging societies. It investigates the proximity preference preferences among nine types of facilities frequently used by senior citizens in Dubai. The research is set against demographic shifts and policy paradigms that are shifting towards aging-in-community, emphasizing the need for comprehensive urban planning tailored to the elderly. The study classified individuals aged 65 and above as seniors and surveyed 180 participants at Dubai’s Al Safa Park. Researchers analyzed the proximity preference, termed ‘adjacency,’ of facilities, including residential, rest, public, cultural, transportation, welfare, medical, commercial, and religious facilities. Data collection spanned nine days and employed cross-analysis and multidimensional scaling (MDS) to interpret the findings. The results revealed a high preference for proximity between residential spaces and parks, supermarkets, and bus stops, indicating a desire for accessible facilities. MDS analysis showed residential, rest, and transportation facilities were spatially closer, while religious facilities were distinct in location. Income levels significantly influenced facility proximity preferences, with high-income seniors preferring commercial facilities near residential areas but medical facilities farther away. This study highlights the importance of considering income levels in urban planning for the elderly. Recommendations include planning residential, transportation, and green spaces in proximity preference while acknowledging varying preferences for religious facilities. Future research should focus on diverse regions and consider individual circumstances. This study contributes to urban planning by providing insights into senior citizens’ spatial preferences, which is crucial for enhancing facility usage and satisfaction in aging societies. Full article

Rapidly changing digital technologies are reconfiguring the way human society lives, indicating that more and more middle-aged and older adults will lead a digital life in the future. Whether digital technology for today can effectively improve the quality of digital life of this cohort is the focus of this study. This study proposed a “cognitive–emotional–behavioral” model and situated the use of the Extreme Edition App as a cross-sectional research object. The study also explored the relationship between middle-aged and older adults’ perceptions of the benefits of cash subsidies, the pleasure and worry generated by the use of the app, and their continued use of the app. It has become a fact that human beings are walking side by side with digital technology; digital technology still moves forward and upward. Thus, it is forward-looking to pay attention to the digital life adaptation of the current middle-aged and older groups. A total of 1200 valid questionnaires were obtained, and regression analysis showed that (1) the more comprehensive and in-depth the cohort’s knowledge of the benefits of cash subsidies is, and the more sustainable their continuous use of the Extreme Edition App is, the more pleasure they experience, and the less worry they feel during its use. (2) The more pleasure middle-aged and older adults feel while using the Extreme Edition App, the more likely they are to continue using it. Conversely, the more worry they feel, the less likely they are to maintain its use. (3) Emotions generated during the use of the Extreme Edition App mediate the relationship between this cohort’s perceptions of cash subsidy benefits and their continued-use behavior. Full article

This study evaluated the potential of using dogs’ apparent age, judged from photographs, as a non-invasive tool for assessing their welfare. Traditional welfare assessment methods often rely on behavioral and physiological indicators, which can be resource-intensive and invasive. This research explored whether apparent age, a measure used in humans to predict health and longevity, can also serve as an indicator of welfare in dogs by investigating its association with relative telomere length (RTL), a biomarker of biological aging. Photographs of 60 domestic dogs were evaluated by canine specialists and general volunteers via the citizen science platform Zooniverse. Participants estimated the age of 20 dogs from three different age categories: young (0–2 years), adult (2–5 years), and senior (6+ years). The accuracy of these predictions was compared to the dogs’ chronological ages and RTLs. Generalized linear models were used to assess factors influencing prediction accuracy, including the dogs’ age, sex, and origin. Results indicated that both specialists and volunteers reliably estimated the age of senior dogs, with no significant differences in accuracy between groups. Dogs with accurate apparent age estimates had RTLs matching their chronological age, while those with premature aging signs had shorter RTLs. This suggests apparent age could be a practical, non-invasive welfare assessment tool, offering a potentially accessible method for new welfare assessment protocols. Full article

Scabies is a worldwide parasitic dermatosis with a significant health burden on the young and the elderly. Statistics about the prevalence of scabies in Hong Kong are not available. This is a retrospective study of patients from a regional hospital cluster in Hong Kong with microscopy-documented Sarcoptes scabiei infestations from January 2018 to December 2022. The condition was categorised into classical scabies and crusted scabies upon clinical presentation. Demographic data, comorbid diseases, mobility and residential status, seasonal variability, secondary bacterial infection, treatment and outcomes were described. These were compared between classic and crusted scabies. In total, 604 patients were identified, representing 51.65 per 100,000 discharged patients during the study period. The median age was 84 years and 54.5% were male. The majority (506 or 83.8%) came from residential care homes for the elderly. The mean time from admission to diagnosis was 8.8 days for community-acquired infestation. There were 564 and 40 cases of classic and crusted scabies, respectively. The two groups of patients were comparable in terms of residence in elderly homes, co-existing chronic illnesses, mobility, and time from admission to diagnosis. Forty-five (7.5%) patients had positive blood cultures temporally associated with scabies. Patients with crusted scabies were at higher risk for bacteraemia (7/40 versus 38/564, p = 0.022). Permethrin and benzyl benzoate were the most popular treatment regimens, with treatment failure observed in 59/397 (14.4%) and 18/173 (10.4%), respectively. There were 172 (28.5%) mortalities within 30 days of scabies diagnosis. Thus, the burden of scabies infestation is significant in Hong Kong. Hospitalised patients diagnosed with scabies are mainly senior citizens living in residential care homes for the elderly, suggesting reservoirs of S. scabiei in the community. Of concern, bacteraemic illnesses are common and significant mortality is temporarily associated with infestation. With a rising elderly population, there is a pressing need to understand and control scabies in Hong Kong. Our study did not find that common medical illness, besides immunosuppressive therapy, predisposed patients to crusted scabies. The crusted form of scabies was associated with a higher risk of bacteraemia. The current study provides a better perspective of the disease load of scabies in Hong Kong. Full article