Search Results (160)

Background/Objective: Understanding how chronic conditions such as knee osteoarthritis (OA) and chronic obstructive pulmonary disease (COPD) influence long-term physical activity (PA) is essential for developing condition-specific rehabilitation strategies. This study aimed to examine whether baseline diagnoses of knee OA and COPD are independently associated with the trajectories of PA decline over five years in U.S. adults, informed by the disablement process model. Methods: We analyzed data from 855 adults aged ≥45 years enrolled in the Osteoarthritis Initiative (OAI). The participants were categorized into three baseline groups, control (n = 122), knee OA (n = 646), and COPD (n = 87), based on self-reports and prior clinical assessments. PA was measured annually for five years using the Physical Activity Scale for the Elderly (PASE). General linear mixed models assessed changes in PA over time, adjusting for demographic, behavioral, and clinical covariates. Results: Compared to the controls, participants with knee OA had a significant decline in PA over time (β = −6.62; 95% CI: −15.4 to −2.19; p = 0.014). Those with COPD experienced an even greater decline compared to the knee OA group (β = −11.2; 95% CI: −21.7 to −0.67; p = 0.037). These associations persisted after adjusting for age, sex, body mass index, comorbidities, and smoking. Conclusions: Baseline knee OA and COPD were independently associated with long-term reductions in PA. These findings underscore the importance of early, tailored rehabilitation strategies, particularly pulmonary rehabilitation, in preserving functional independence among older adults with chronic conditions. Full article

In a warming climate, rising temperature are expected to influence atmospheric humidity. This study examined the spatio-temporal dynamics of temperature (TEMP) and relative humidity (RH) across Equatorial Africa from 1980 to 2020. The analysis used RH data from European Centre of Medium-range Weather Forecasts Reanalysis v.5 (ERA5) reanalysis, TEMP and precipitation (PRE) from Climate Research Unit (CRU), and soil moisture (SM) and evapotranspiration (ET) from the Global Land Evaporation Amsterdam Model (GLEAM). In addition, four teleconnection indices were considered: El Niño-Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), North Atlantic Oscillation (NAO), and Pacific Decadal Oscillation (PDO). This study used the Mann–Kendall test and Sen’s slope estimator to analyze trends, alongside multiple linear regression to investigate the relationships between TEMP, RH, and key climatic variables—namely evapotranspiration (ET), soil moisture (SM), and precipitation (PRE)—as well as large-scale teleconnection indices (e.g., IOD, ENSO, PDO, and NAO) on annual and seasonal scales. The key findings are as follows: (1) mean annual TEMP exceeding 30 °C and RH less than 30% were concentrated in arid regions of the Sahelian–Sudano belt in West Africa (WAF), Central Africa (CAF) and North East Africa (NEAF). Semi-arid regions in the Sahelian–Guinean belt recorded moderate TEMP (25–30 °C) and RH (30–60%), while the Guinean coastal belt and Congo Basin experienced cooler, more humid conditions (TEMP < 20 °C, RH (60–90%). (2) Trend analysis using Mann–Kendal and Sen slope estimator analysis revealed spatial heterogeneity, with increasing TEMP and deceasing RH trends varying by region and season. (3) The warming rate was higher in arid and semi-arid areas, with seasonal rates exceeding annual averages (0.18 °C decade⁻¹). Winter (0.27 °C decade⁻¹) and spring (0.20 °C decade⁻¹) exhibited the strongest warming, followed by autumn (0.18 °C decade⁻¹) and summer (0.10 °C decade⁻¹). (4) RH trends showed stronger seasonal decline compared to annual changes, with reduction ranging from 5 to 10% per decade in certain seasons, and about 2% per decade annually. (5) Pearson correlation analysis demonstrated a strong negative relationship between TEMP and RH with a correlation coefficient of r = − 0.60. (6) Significant associations were also observed between TEMP/RH and both climatic variables (ET, SM, PRE) and large scale-teleconnection indices (ENSO, IOD, PDO, NAO), indicating that surface conditions may reflect a combination of local response and remote climate influences. However, further analysis is needed to distinguish the extent to which local variability is independently driven versus being a response to large-scale forcing. Overall, this research highlights the physical mechanism linking TEMP and RH trends and their climatic drivers, offering insights into how these changes may impact different ecological and socio-economic sectors. Full article

Physical activity allows people to obtain multidimensional benefits. Regular practice and following the recommendations can provide the benefits mentioned above. However, it has been evidenced that the variability in the environmental temperature is a determining factor to adhere to the regular practice of physical activity. From this point of view, it has become evident that researchers have joined criteria to explore the effects of climate change or global warming on physical activity or physical education. This study is the first bibliometric analysis of the scientific literature related to physical activity, physical education, global warming, and climate change. The objective of the present bibliometric review was to examine annual publication trends, identifying the categories, journals, and countries with the highest number of publications on this topic. In addition, the secondary objective was to identify the most productive and prominent authors, highlight the most cited articles, and determine the keywords most used by the authors. We analyzed 261 papers published in journals indexed in the Web of Science, examining the trend followed by annual publications, identifying prolific and prominent co-authors, leading countries and journals, most cited papers, and most used author keywords. The annual publications followed an exponential growth trend (R² = 90%), which means that there is great interest in the scientific community for this object of study. The Journal of Physical Activity & Health was the journal with the most published papers. M.S. Tremblay and E.Y. Lee were the most prominent co-authors, and as reference authors on the subject, M. Nieuwenhuijsen and H. Khreis were the most prominent authors. The three countries with the highest productivity are the USA, the UK, and Canada. Although a total of 29 keywords were identified, only 25 of them were commonly recurrent, with the most used being climate change and physical activity. Full article

Unprocessed glass waste is commonly disposed of in landfills, posing a significant environmental threat worldwide due to its non-biodegradable nature and long decomposition period. The volume of this waste continues to increase annually, driven by increasing consumption of electronic and household devices, as well as the growing popularity and end-of-life disposal of solar panels and other glass products. Therefore, to promote the development of the circular economy and the principles of sustainability, it is necessary to address the problem of reusing this waste. This review article examines the chemical and physical properties of various types of glass waste, including window glass, bottles, solar panels, and glass recovered from discarded electronic and household appliances. It was determined that the most promising and applicable reuse, which does not require high energy consumption, could be in the manufacture of concrete, which is the most developed construction material worldwide. Glass waste can be incorporated into concrete in three different particle sizes according to their function: (a) cement-sized particles, used as a partial binder replacement; (b) sand-sized particles, replacing fine aggregate; and (c) coarse aggregate-sized particles, substituting natural coarse aggregate either partially or fully. The article analyses the impact of glass waste on the properties of concrete or binder, presents controversial results, and provides recommendations for future research. In addition, the advantages and challenges of incorporating glass waste in ceramics and asphalt concrete are highlighted. Full article

Microplastics (MPs) have become a global issue due to their potential adverse effects on sustainable marine resources and human health. In this study, MP pollution was investigated using natural mussels from all shelf regions of the SoM (Sea of Marmara), which is under the influence of many pollutant sources. A total of 322 mussels were collected along the entire coastline, and MP analyses were performed on these mussels. Mussel tissues were digested using a KOH solution to separate the MPs. Following extraction, the samples were filtered and the particles remaining on top were examined physically and chemically. In the study, the highest values were detected in samples taken both from locations under anthropogenic influence, especially from points close to where rivers flow. Across all the samples, the most predominant shape was fiber (61.08%), color was blue (57.87%) and size was (<0.5 mm) (62.55%). FTIR analysis shows that PE is the most common polymer type (44%). Calculated on the basis of 100 g of daily consumption, the annual ingestive exposures to MPs were found to be 1940, 342, 41 and 39 items for children, adolescents, female adults and male adults, respectively. As a result of a detailed risk assessment related to chronic daily intake (CDI) and microplastic carcinogenic risk (MPCR), it was determined that children are the most vulnerable group exposed to MPs and that these seafood products should be consumed with caution by children to prevent potential hazards. Additionally, it has been determined that the southern shelf and the Çanakkale Strait are the areas under the most intense pollution pressure according to the calculated MPCf and MPLI values. These findings are very relevant in terms of taking practical steps to take plans and actions to prevent contamination in the SoM and ensure the sustainability of food safety in the consumption of products obtained from the sea. Full article

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prevalent liver disorder with significant metabolic implications. Metabolic age, determined through bioimpedance analysis, has emerged as a potential indicator of overall metabolic health. The objective of this study is to evaluate the association between metabolic age and MASLD risk scores in a cohort of Spanish workers. Methods: A cross-sectional study was conducted on 8590 Spanish workers who underwent annual occupational health examinations between 2019 and 2020. Metabolic age was determined using bioelectrical impedance analysis, and the Avoidable Lost Life Years (ALLY) index was calculated as the difference between their metabolic and chronological age. MASLD risk was assessed using various validated scales, including the Fatty Liver Index (FLI), Hepatic Steatosis Index (HSI), Zhejiang University Index (ZJU), Fatty Liver Disease Index (FLD), and Lipid Accumulation Product (LAP). A multinomial logistic regression analysis was performed to examine the association between metabolic age and MASLD risk scores, adjusting for sociodemographic and lifestyle variables. Results: Higher metabolic age values were observed in individuals with greater MASLD risk across all evaluated scales. The mean metabolic age was consistently lower in women compared to men, and these differences were statistically significant (p < 0.01). Multinomial logistic regression analysis revealed that the strongest associations with increased metabolic age were found for MASLD risk scores, physical inactivity, and poor adherence to the Mediterranean diet. ROC curve analysis demonstrated a high predictive capacity for the FLD (AUC: 0.935 in women and 0.917 in men) and FLI (AUC: 0.900 in women and 0.833 in men), with high Youden index values. Conclusions: Metabolic age is significantly associated with MASLD risk, suggesting its potential as a non-invasive biomarker for identifying individuals with a higher risk for metabolic liver disease. Lifestyle factors, including physical activity and dietary patterns, play a crucial role in modulating metabolic age, highlighting the importance of targeted interventions for MASLD prevention. Further research is warranted to validate metabolic age as a prognostic tool in MASLD risk assessment. Full article

The interplay between Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and viral hepatitis, primarily hepatitis B virus (HBV) and hepatitis C virus (HCV), presents a complex challenge in managing chronic liver diseases. Recent epidemiological insights suggest an escalating prevalence of MASLD globally, attributed mainly to the obesity epidemic and associated metabolic disorders. Concurrently, chronic viral hepatitis remains a significant contributor to liver disease morbidity and mortality worldwide, despite advances in antiviral therapies. According to the World Health Organization (WHO) 2023 data, approximately 296 million people are living with chronic HBV infection (about 3.8% of the global population), and 58 million people with HCV infection (about 0.7%), together accounting for over 1.1 million deaths annually. The coexistence of MASLD and viral hepatitis presents a complex scenario in clinical outcomes, where the effects on liver health can vary. Although many studies highlight the potential for additive or synergistic worsening of liver conditions, leading to complications such as cirrhosis, liver failure, and HCC, the impact of HBV on MASLD is not consistent. Managing patients with dual MASLD and viral hepatitis is complex due to the interplay of metabolic and viral factors. Lifestyle modifications, including weight loss, dietary changes, and physical activity, are fundamental to MASLD management and help reduce fibrosis risk in viral hepatitis. This review examines the dual impact of MASLD and viral hepatitis on liver pathology and delineates shared pathophysiological mechanisms, including the influence on hepatic steatosis, inflammation, and fibrogenesis. It also discusses therapeutic strategies tailored to manage this comorbidity, emphasizing the need for an integrated care approach that addresses both metabolic dysfunctions and viral infection to optimize patient outcomes. Full article

Ensuring people’s quality of life (QOL) has become increasingly challenging due to population aging. This study aimed to investigate the QOL among older people and factors associated with it in an urban setting of Central Nepal using the World Health Organization Quality of Life (WHOQOL-OLD) tool. A cross-sectional study was conducted in Central Nepal. The association between QOL and independent variables was first examined using a univariate analysis of variance followed by multiple linear regressions. The mean age of the 366 participants was 70 years (standard deviation [SD]: 8.2 years). The mean of the overall QOL scores was 74.37 (SD: 7.82). Older people who were literate (regression coefficient (β): 1.909; 95% confidence interval (CI): 3.771 (1.986, 5.556)), who had an annual household income of NPR 40,000 (Nepalese Rupees) or more (β: 1.909: 95% CI: 0.337, 3.480), who reported health services as accessible (β: 4.019; 95% CI: 0.666, 7.371) and affordable (β: 3.176; 95% CI: 1.327, 5.025), and who reported partaking in physical activity (β: 2.107; 95% CI: 0.607, 3.606) had higher QOL scores compared to their respective counterparts. A holistic model of service using the social determinants of health framework is essential to improve the well-being of older people in Nepal. Full article

By examining the significant flaws in multivariate risk analysis and integrated risk analysis, this article introduces a new approach to evaluating the total risk within complex risk systems: the principle of multi-dimensional risk (MDR) analysis. Under this framework, the scope of each individual risk is first defined, and the risk-bearing entity is identified. Each risk is then analyzed independently, and the results are subsequently integrated to provide a comprehensive view of MDR. Multivariate risk analysis becomes increasingly impractical as the number of factors grows, due to the correspondingly large sample size required—often unattainable in real-world conditions. Integrated risk analysis methods, such as weighted combinations and Copula techniques, are heavily influenced by subjective factors, which compromise the reliability of their results. In contrast, MDR analysis involves fewer variables per individual risk, reducing the sample size requirement and making data collection more feasible. Individual risks can be quantified using objective physical indicators such as economic loss or physical injury, enabling more accurate calculations of the total risk across the system. A case study involving two-dimensional risks—flood and earthquake—demonstrated that these events often have vastly different occurrence cycles. When these risks are entangled in conventional analysis, the resulting annual total risk value can be severely distorted. By analyzing individual risks separately, maintaining the focus on overall system risk, and treating the total risk as an MDR problem, a more reliable foundation for policy-making and risk management can be established. There are at least three types of MDR relationships: independent, compounding, and negatively correlated. As a result, no universal MDR analysis model exists. Full article

Lignin, the most abundant aromatic polymer in nature, plays a critical role in lignocellulosic biomasses by providing structural support. However, its presence complicates the industrial exploitation of these materials for biofuels, paper production and other high-value compounds. Annually, the industrial extraction of lignin reaches an estimated 225 million tons, yet only a fraction is recovered for reuse, with most incinerated as low-value fuel. The growing interest in lignin potential has sparked research into sustainable recovery methods from lignocellulosic agro-industrial wastes. This review examines the chemical, physical and physicochemical processes for isolating lignin, focusing on innovative, sustainable technologies that align with the principles of a circular economy. Key challenges include lignin structural complexity and heterogeneity, which hinder its efficient extraction and application. Nonetheless, its properties such as high thermal stability, biodegradability and abundant carbon content place lignin as a promising material for diverse industrial applications, including chemical synthesis and energy generation. A structured analysis of advancements in lignin extraction, characterization and valorization offers insights into transforming this undervalued by-product into a vital resource, reducing reliance on non-renewable materials while addressing environmental sustainability. Full article

The closure of educational institutions, playgrounds, and sports facilities has had a significant impact on children’s levels of physical activity during the COVID-19 pandemic. Currently, there are only a few studies available that address the consequences of these pandemic-related restrictions on the development of motor skills in younger children. The aim of the present study was to gain insights into the impact of the COVID-19 pandemic on the development of children’s fine and gross motor skills by comparing cohorts of German preschoolers. For this purpose, data from annual (years 2015 to 2018 and 2020 to 2024) routine examinations of children’s (n = 1426; mean age: 5.46 ± 0.29 years) motor development conducted in the child daycare centers of the SportService des Landessportbund Brandenburg e.V. [Federal Sports Association of Brandenburg, Germany] were subjected to a secondary analysis. While no effects on overall motor performance as measured by the MOT 4–6, a standardized motor skills test, were found for the groups of preschoolers, a more detailed analysis revealed that the cohorts of children differed with respect to certain motor domains, i.e., jumping performance and fine motor skills. The findings are relevant for designing targeted remedial measures for children affected by the pandemic-related restrictions. Full article

Urban traffic-related air pollution has emerged as a significant concern for the physical environment in densely populated urban areas. This study numerically investigates the dispersion of air pollutants and ventilation within typical urban blocks in Shanghai, considering the prevailing annual winds—northerly in winter (4.64 m/s) and easterly in summer (5.85 m/s). Multiple factors influence the dispersion of urban pollution. In this research, we examine the effects of viaducts and urban ventilation corridors, alongside the impact of urban parameters on pedestrian-level ventilation, by analyzing variations in building forms along residential streets in Shanghai. A novel approach for analyzing pollution dispersion is proposed, which involves performing a sensitivity analysis on the buffer radius and mapping various radii onto the C* parameter. The results indicate that: (1) enhancing air fluidity in regions with stagnant winds can be achieved by introducing vertical turbulence; (2) the prevailing wind direction, urban ventilation corridors, and urban permeability play a crucial role in determining the direction of pollutant dispersion at pedestrian levels in densely populated urban environments; (3) the contribution of pollutants released at ground level is significantly higher than those from viaducts at pedestrian height (248.58%). Drawing on both theoretical and experimental research, this study explores the spatial dispersion of air pollutants across various scales, including city-wide, block-level, and building-specific perspectives. The findings provide recommendations for the design of environmentally sustainable urban streets in residential areas. Full article

A method was developed to estimate the average annual indoor radon activity concentration from three-week short-term measurements using active radon-222 measuring devices, taking into account the relevant influencing parameters (season, temperature difference, temporal air pressure gradient, etc.) during the short-term measurements. A total of 24 long-term measurements (6 months) and 50 short-term measurements (3 weeks) were carried out in 24 indoor spaces in private houses in four Austrian federal states between October 2022 and July 2023. At the same time as the short-term measurements, ambient parameters (outside and inside temperature, air pressure inside, outside, air humidity inside, outside, wind speed, wind direction, amount of precipitation) were also recorded to investigate their influence on the measured radon-222 activity concentrations. Building and usage data of the indoor spaces examined were also collected. Based on the evaluation of the radon-222 measurements carried out, a first guideline was developed for estimating the annual mean value of the radon-222 activity concentration from short-term measurements lasting around three weeks. The result shows that by applying the developed method, the approximation to the long-term average value can be significantly improved, at least by a factor of 2. This criterion is only valid for the 24 indoor spaces examined in this study. Generalisation requires a test and validation study of the method presented. It is planned to test and validate the developed method in other indoor spaces by means of further measurements and in-depth physical-statistical considerations, and to improve the functional relationships and the approximation to the long-term average value. Full article

Column O/N₂ ratio (∑O/N₂), a physical quantity representing thermospheric disturbances, is influenced by solar extreme ultraviolet radiation flux (Q_EUV) changes. Investigating the correlation between these two factors is essential for understanding the evolution of the thermosphere. This study examines the correlation and periodic variations of ∑O/N₂ and Q_EUV across different phases of solar activity, using data from the Global Ultraviolet Imager (GUVI) spanning from 2002 to 2022. A correlation analysis reveals a positive relationship between ∑O/N₂ and Q_EUV. The function fitting results show that the magnitude of changes in ∑O/N₂ due to Q_EUV variations is approximately 30% of the mean ∑O/N₂. A wavelet analysis reveals their coherence in periodic components of 27-day, annual, and 11-year periods. These results are significant for studying the Sun–Earth coupling mechanism and understanding the impact of space weather on the thermosphere. Full article

The combination of artificial intelligence with extended reality technologies can significantly impact the educational domain. This study aims to present an overview regarding the combination of artificial intelligence with augmented reality and virtual reality technologies and their integration in education through an analysis of the existing literature. Hence, this study examines 201 documents from Scopus and the Web of Science (WoS). This study focuses on examining the basic characteristics of the document collection, highlighting the most prevalent themes, areas, and topics, exploring the thematic evolution of the topic, revealing current challenges and limitations and on identifying emerging topics and future research directions. Based on the outcomes, a significant annual growth rate (60.58%) was observed indicating the increasing interest in the topic. Additionally, the potential of combining artificial intelligence with virtual reality and augmented reality technologies to provide personalized, affective, interactive, and immersive learning experiences across educational levels in both formal and informal settings supporting both teachers and students arose. Therefore, through this combination, intelligent tutoring systems (ITSs), which offer behavioral, cognitive, and social personalization, have a virtual presence, and can effectively be used as tutors or peer learners, can be created. Such ITSs can be characterized as affective and social entities that can increase students’ learning performance, learning motivation, and engagement and promote both self-directed learning and collaborative learning. This study also highlights the need to examine how the physical presence that characterizes some new technologies compares to the virtual presence that extended reality technologies offer in terms of overall learning outcomes and students’ development. Full article