Search Results (1,368)

Background: With China’s rapidly aging population, frailty has become a growing concern among older adults. Physical activity (PA) is known to mitigate frailty-related decline, yet few studies have examined these associations longitudinally. Methods: Using five waves (2011–2020) of CHARLS data, we analyzed Chinese adults aged 60+ to assess the association between frailty—measured by a frailty index (FI)—and PA across various types (light, moderate, vigorous, total, and leisure). A generalized linear mixed-effects model was used, adjusting for demographic, socioeconomic, and health-related factors. Results: All PA types were significantly associated with lower odds of concurrent frailty, including light (OR = 0.37), moderate (OR = 0.37), vigorous (OR = 0.40), total (OR = 0.23), and leisure PA (OR = 0.56). Lagged PA also predicted reduced frailty risk over time, except for light PA. Conclusion: Regular PA is linked to a lower risk of frailty among older Chinese adults. These findings underscore the importance of sustained PA as a strategy to promote healthy aging and inform public health interventions for this population. Full article

This study evaluates the potential health risks posed by geogenic arsenic in environments suitable for leisure activities, such as walking, bathing, and playing, for adults and children alike, as well as in neighbouring agricultural areas. The study includes an analysis of environmental characteristics and the main stream originating in the adjacent mining area, with water and sediment samples taken. The study area is representative of other areas in the vicinity of the Mar Menor Lagoon, which is one of the largest and most biodiverse coastal lagoons in the Mediterranean Sea. The general characteristics of the soil and water were determined for this study, as was the concentration of As in the soil and water samples. A granulometric separation was carried out into four different fractions (<2 mm, <250 µm, <100 µm, and <65 µm). The mineralogical composition, total As content, and bioaccessible As content are analysed in each of these fractions. This provides data with which to calculate the danger of arsenic (As) to human health by ingestion and to contribute to As bioaccessibility studies and the role played by the mineralogical composition and particle size of soil ingestion. The conclusions rule out residential use of this environment, although they allow for eventual tourist use and traditional agricultural use of the surrounding soils. Full article

Modern software solutions have a multiplicative effect on enhancing quality of life across various urban sectors, including the environment, education, public health, security, transportation, time efficiency, employment, and other key aspects of city living. This article addresses a specific issue concerning the organisation of leisure activities for both local residents and tourists, using the Chechen Republic as a case study. In response, the study aimed to develop a digital solution to address this challenge, with potential for integration into the Republic’s unified digital ecosystem. By employing system analysis methods, the authors identified the key objects and stakeholders involved in the problem domain. They also defined the software product’s functionality and classified user categories. Using Unified Modelling Language methods, a use case diagram was developed to illustrate the conceptual operation of the system. Furthermore, object-oriented design methods were applied to create a user interface prototype for the software product. As a result, a digital service was developed that enables users to create personalised leisure routes, taking into account individual goals, time constraints, traffic conditions, and the real-time status of urban infrastructure. The resulting software solution is both customisable and scalable. The article also presents selected examples of project development. Full article

Background/Objectives: Smartphone addiction (SA) and gaming addiction (GA) have become risk factors for individuals of all ages in recent years. Especially during adolescence, it has become very difficult for parents to control this situation. Physical activity and the effective use of free time are the most important factors in eliminating such addictions. This study aimed to test a new machine learning method by combining routine regression analysis with the gradient-boosting machine (GBM) and random forest (RF) methods to analyze the relationship between SA and GA with leisure time management (LTM) and the enjoyment of physical activity (EPA) among adolescents. Methods: This study presents the results obtained using our developed GBM + RF hybrid model, which incorporates LTM and EPA scores as inputs for predicting SA and GA, following the preprocessing of data collected from 1107 high school students aged 15–19 years. The results were compared with those obtained using routine regression results and the lasso, ElasticNet, RF, GBM, AdaBoost, bagging, support vector regression (SVR), K-nearest neighbors (KNN), multi-layer perceptron (MLP), and light gradient-boosting machine (LightGBM) models. In the GBM + RF model, probability scores obtained from GBM were used as input to RF to produce final predictions. The performance of the models was evaluated using the R², mean absolute error (MAE), and mean squared error (MSE) metrics. Results: Classical regression analyses revealed a significant negative relationship between SA scores and both LTM and EPA scores. Specifically, as LTM and EPA scores increased, SA scores decreased significantly. In contrast, GA scores showed a significant negative relationship only with LTM scores, whereas EPA was not a significant determinant of GA. In contrast to the relatively low explanatory power of classical regression models, ML algorithms have demonstrated significantly higher prediction accuracy. The best performance for SA prediction was achieved using the Hybrid GBM + RF model (MAE = 0.095, MSE = 0.010, R² = 0.9299), whereas the SVR model showed the weakest performance (MAE = 0.310, MSE = 0.096, R² = 0.8615). Similarly, the Hybrid GBM + RF model also showed the highest performance for GA prediction (MAE = 0.090, MSE = 0.014, R² = 0.9699). Conclusions: These findings demonstrate that classical regression analyses have limited explanatory power in capturing complex relationships between variables, whereas ML algorithms, particularly our GBM + RF hybrid model, offer more robust and accurate modeling capabilities for multifactorial cognitive and performance-related predictions. Full article

Lightning strikes pose a significant risk during outdoor activities. The connection between conventionally used rescue blankets in alpine emergencies and the risk of lightning injury is unclear. This experimental study investigated whether rescue blankets made of aluminum-coated polyethylene terephthalate increase the likelihood of lightning injuries. High-voltage experiments of up to 2.5 MV were conducted in a controlled laboratory setting, exposing manikins to realistic lightning discharges. In a balanced test environment, two conventionally used brands were investigated. Upward leaders frequently formed on the edges along the fold lines of the foils and were significantly longer in crumpled rescue blankets (p = 0.004). When a lightning strike occurred, the thin metallic layer evaporated at the contact point without igniting the blanket or damaging the underlying plastic film. The blankets diverted surface currents and prevented current flow to the manikins, indicating potentially protective effects. The findings of this experimental study suggest that upward leaders rise from the edge areas of rescue blankets, although there is no increased risk for a direct strike. Rescue blankets may even provide partial protection against exposure to electrical charges. Full article

Nowadays, society is becoming increasingly committed to traveling by plane for work, tourism, and leisure in general. However, either due to internal, specific factors or to external determinants, like terrorism and climate changes, a growing number of travelers have experienced the so-called fear of flying, a persistent, irrational fear of flight-related situations for which a clear, efficacious therapy does not yet exist. Based on the usual interaction with the surrounding environment, conducted by means of the five human senses, and particularly on the neurophysiological pathway followed by the chemical senses, in this study, we revise the findings in the related literature on the topic, proposing an alternative way to alleviate the anxiety related to the fear of flight. This is based on chemosensory stimulation being applied directly during a flight and is possibly concerned with the consumption of meals, an usual activity performed onboard. After an introductory section aimed at understanding the problem, we present some studies related to chemosensory perception during the flight, highlighting the specificities of the scenarios, followed by a description of findings related to the meals proposed by flight companies in this context, and finally wrapping up the possible alternative approaches that could be conducted by such providers to alleviate the fear of flying condition through chemosensory stimulation vehiculated by meals, and enhance the quality of flight experience related to food consumption onboard. Full article

Generation Z (Gen Z; born 1997–2012) is reshaping global tourism through digital fluency, ethical awareness, and a desire for authentic, sustainable travel experiences. This study surveys 413 Gen Z travelers across France, Portugal, Romania, and the USA to map their booking behaviors, information sources, transport modes, accommodations, dining practices, and leisure activities. The findings reveal a strong preference for independent online bookings and social-media-influenced destination choices (Instagram, TikTok), with air and car travel being used for long-distance journeys and walking/public transit being used for local journeys. Accommodation spans commercial hotels and private rentals, while informal, local dining and nature- or culture-centered leisure prevail. Chi-square tests were performed to identify differences between countries. To reveal distinct traveler segments and their country’s modulations towards sustainability, a hierarchical cluster analysis was performed. The results uncover four segments: “Tech-Active, Nature-Oriented Minimalists” (32.3% in France); “Moderate Digital Planners” (most frequent across all countries, particularly dominant among Romanian respondents); “Disengaged and Indecisive Travelers” (overrepresented in the USA); and “Culturally Inclined, Selective Sustainability Seekers” (>30% in France/Portugal). Although sustainability is widely valued, only some segments of the studied population consistently act on these values. The results suggest that engaging Gen Z requires targeted, value-driven digital strategies that align platform design with the cohort’s diverse sustainability commitments. Full article

Universities in severely cold regions face the dual challenge of adapting to seasonal climate variations while enhancing outdoor thermal comfort in outdoor leisure plazas. This study takes a university in Hohhot as a case study. Through field investigations conducted in summer and winter, thermal benchmarks were established. Based on this, an orthogonal experimental design was developed considering greenery layout, plant types, and surface albedo. ENVI-met was used to simulate and analyze the seasonal regulatory effects of landscape elements on the microclimate. The results show that: (1) the lower limit of the neutral PET range in Hohhot in winter is −11.3 °C, and the upper limit in summer is 31.3 °C; (2) the seasonal contribution of landscape elements to PET ranks as follows: plant types > greenery layout > surface albedo; and (3) the proposed optimization plan achieved a weighted increase of 6.0% in the proportion of activity area within the neutral PET range in both summer and winter. This study is the first to construct outdoor thermal sensation categories for both summer and winter in Hohhot and to establish a thermal comfort optimization evaluation mechanism that considers both diurnal and seasonal weightings. It systematically reveals the comprehensive regulatory effects of landscape elements on the thermal environment in severely cold regions and provides a nature-based solution for the climate-responsive design of campus plazas in such areas. Full article

Background: Apathy predicts functional and cognitive decline in community-dwelling older adults. However, the behavioral correlates of apathy, which could promote cognitive decline have not been described. Our objective was to investigate the associations of apathy with leisure and social engagement. Methods: N = 538 older adults enrolled in the Central Control of Mobility in Aging study. We used the GDS3A, a 3-item subscale of the Geriatric Depression Scale, to define apathy and the frequency of participation in cognitive, physical, and social leisure activities. Linear regression models were conducted to assess the association between apathy and its behavioral correlates: social engagement and leisure activity participation. Covariates included age, gender, education level, multimorbidity, and dysphoria. Results: Apathy was present in 29.7% of participants and was significantly associated with less frequent participation in physical activity days per week (−1.688. p = 0.003) but not cognitive (−1.094, p = 0.252) or social (−0.654, p = 0.103) leisure activities. Apathy was also associated with a decreased social behavior composite score (−0.055, p < 0.001), Social Network Index (−0.478, p = 0.003), and Medical Outcomes Study Social Support scores (−0.26, p = 0.001). Conclusions: Our findings suggest that apathy presents with reduced participation in physical leisure activities and reduced social engagement, which may provide a way for clinicians and caregivers to identify apathy in the future. Full article

Globally, forest leisure and recreation (FLR) activities are widely recognized not only for their environmental and social benefits but also for their economic contributions. To better understand these economic contributions, it is vital to examine how the regional economic levels of customers vary when consuming FLR. This study aimed to empirically examine whether the regional economic level of residents (i.e., gross regional domestic product; GRDP) is classifiable using FLR expenditure data, and to interpret which variables contribute to its classification. We acquired anonymized credit card transaction data on residents of two regions with different GRDP levels. The data were preprocessed by identifying FLR-related industries and extracting key spending features for classification analysis. Five classification models (e.g., deep neural network (DNN), random forest, extreme gradient boosting, support vector machine, and logistic regression) were applied. Among the models, the DNN model presented the best performance (overall accuracy = 0.73; area under the curve (AUC) = 0.82). SHAP analysis showed that the “FLR industry” variable was most influential in differentiating GRDP levels across all the models. These findings demonstrate that FLR consumption patterns may vary and are interpretable by economic levels, providing an empirical framework for designing regional economic policies. Full article

Engaging in nightlife activities is an essential form of leisure, especially among young people. However, it also presents considerable risks associated with the occurrence of various forms of violence. Recently, increasing attention has been directed toward sexual violence occurring in nightlife settings. Despite numerous preventive efforts, such as awareness raising, bystander intervention training, alcohol policies, and situational preventive measures, sexual violence remains a persistent issue in nightlife contexts. With the extended usage of smartphones, mobile apps represent a promising approach that complements sexual violence prevention. This article presents findings from a systematic literature review and an online overview of mobile apps aimed at the intervention and prevention of sexual violence, focusing on identifying features suitable for nightlife contexts. The literature review revealed limited academic resources addressing such mobile apps, with only six articles found across four databases. An online review highlighted a wide range of mobile apps that tackle violence. However, when it comes to sexual violence, only 18 apps explicitly focus on prevention or intervention. Although many apps address some aspects of the problem, we noticed a lack of a comprehensive approach that would target all relevant stakeholders. Based on the conducted mobile app’s feature assessment, we propose a set of functionalities that should be incorporated into a holistic mobile app for nightlife sexual violence prevention, which may complement existing educational, community-based, and structural prevention efforts. Full article

Background: Boredom is a common but insufficiently explored experience in adolescence, which has been increasingly linked to the development of risky behaviours. This study explores the extent to which boredom predicts engagement in various risky behaviours among adolescents aged 15 to 17. Methods: A cross-sectional study on a sample of 281 high-school students in Croatia was performed in 2024. The participants completed a structured online questionnaire, including validated scales measuring their proneness to boredom, substance use, disordered eating, theft, and cyberbullying. Data were analysed using non-parametric tests, correlation coefficients, and linear regression. Results: Boredom showed a significant association with all forms of risky behaviour, with the strongest association found for disordered eating. Moderate predictive ability was observed for alcohol, marijuana, and drug use, while weaker but significant associations with cyberbullying and theft were also found. Male adolescents reported higher involvement in certain risky behaviours, although no significant gender differences were observed in boredom levels. Conclusions: Boredom is a developmental risk factor, notably when leisure time lacks structure and meaning. While the cross-sectional design of this study limits causal conclusions, the findings highlight the importance of taking boredom into consideration regarding pedagogical prevention efforts. Pedagogical activities targeting quality leisure time, especially within schools and families, may reduce adolescents’ susceptibility to harmful behaviours. Full article

This study presents an analysis of England’s 2023 national assessment of assistive technology (AT) access and use, with a particular focus on the qualitative impact of AT as described by users. It aims to address limitations in conventional AT impact assessments, which often prioritize clinical outcomes or user satisfaction, by offering a deeper account of how impact is experienced in everyday life. Drawing on data from a nationally representative survey of 7000 disabled adults and children, as well as six focus group discussions and 28 semi-structured interviews with stakeholders across the WHO 5Ps framework (People, Providers, Personnel, Policy, and Products), the study applies Amartya Sen and Martha Nussbaum’s Capability Approach to explore these experiences. Using inductive thematic analysis, we identify three main domains of user-reported impact: Functions and Activities (e.g., mobility, communication, vision, leisure, daily routines, and cognitive support), Outcomes (e.g., autonomy, quality of life, safety, social participation, wellbeing, and work and learning), and Lived Experience (e.g., access barriers, essentiality, identity and emotional connection, peace of mind, and sense of control and confidence). These findings offer a more user-centered understanding of AT impact and can inform the development of future measurement tools, research design, and government-led interventions to improve AT provision. Full article

This study aims to predict the purpose of the use of IC card data in LRT immediately after its opening by means of a questionnaire survey and to understand the changes in the number of commuters to better understand the growth in LRT commuter ridership, which has not been fully clarified in Japan. Furthermore, to assess long-term commuter retention for LRT systems, the analysis revealed the following three points. First, a discriminant analysis based on a national PT survey revealed that commuting and leisure or business activities can be classified with high accuracy. Second, it was found that commuter numbers increased immediately after opening, while the number of leisure or business users decreased in the first few months after opening and then leveled off. Third, the increase in the number of commuters was modeled using a logistic curve, and the annual rate of change in ridership was predicted to be less than 1% in the first three to four years after opening. Full article

Recent research in the area of physical literacy has revealed that the early years are a period that has not been well studied. Our research team designed a deductive review with the aim of investigating how preschool children’s physical literacy manifests across affective, physical, cognitive and social domains. The review includes scientific publications from the last four years, which investigate the elements of physical literacy in preschool children: motivation, confidence, motor competence, knowledge, understanding and use of physical activity. The characteristics of the elements were systematised into four domains, affective, physical, cognitive and social, as engagement in physical activities. Results. The majority of the articles explained physical literacy behaviours in 4- to 5-year-old children. The physical domain was most frequently described, mainly including the three basic motor skills of postural stability, object control, and locomotion, as well as physical qualities of movement. The second most frequently described domain was the social domain of the application of physical activities in preschool stages, including the types and amounts of physical activity used in both organised and leisure time. Conclusions. Physical literacy of preschool children is a purposefully organised and guided process, during which a child is given the opportunity to try and apply age-appropriate movement skills, without being limited by the child’s gender, parental attitudes, sporting choices, or the traditions of sport culture. Full article