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By a thorough bibliometric examination of the area through time, this paper analyses the research landscape of metaverse in education. It is an effort that is focused on the metaverse research trends, academic production and conceptual focus of scientific publications.

The Web of Science (WoS) database was explored for information containing research articles and associated publications that met the requirements. For a thorough analysis of the trend, thematic focus and scientific output in the subject of metaverse in education, a bibliometric technique was used to analyse the data. The bibliometrix package of R software, specifically the biblioshiny interface of R-studio, was used to conduct the analysis.

The analysis of the metaverse in education spanning from 1995 to the beginning of 2023 reveals a dynamic and evolving landscape. Notably, the field has experienced robust annual growth, with a peak of publications in 2022. Citation analysis highlights seminal works, with Dionisio et al. (2013) leading discussions on the transition of virtual worlds into intricate digital cultures. Thematic mapping identifies dominant themes such as “system,” “augmented reality” and “information technology,” indicating a strong technological focus. Surprisingly, China emerges as a leading contributor with significant citation impact, emphasising the global nature of metaverse research. The thematic map suggests ongoing developments in performance and future aspects, emphasising the essential role of emerging technologies like artificial intelligence and virtual reality. Overall, the findings depict a vibrant and multidimensional metaverse in education, poised for continued exploration and innovation.

The study is among the pioneers that provide a comprehensive bibliometric analysis in the area of metaverse in education which will guide the novice researchers to identify the unexplored areas.

The phase angle (PhA) measured by bioelectrical impedance analysis (BIA) is associated with nutritional status and cellular health, and it is a clinically important parameter used to assess the risk of various diseases. It remains unclear whether PhA is associated with nonalcoholic fatty liver. The purpose of this study is to investigate the relationship between the BIA parameter PhA and nonalcoholic fatty liver disease (NAFLD).

This cross-sectional study was conducted with 300 adults aged 20–64 years (NAFLD: 196, normal: 104). Some biochemical findings of the participants were collected, and whole-body and segmental PhAs were measured using Tanita (MC-780) at 50 kHz.

The PhA values of the whole body (p = 0.003), trunk (p < 0.001), right and left legs (p < 0.001 for both) were found to significantly differ according to the degrees of fatty liver. It was observed that the highest PhA values were in normal individuals. Logistic regression analysis showed that the reduction in PhAs of the whole body (p = 0.038), right (p = 0.019) and left legs (p = 0.049) and trunk (p = 0.001) after adjusting for all confounding factors increased the risk of NAFLD. Additionally, whole body PhA was significantly associated with age (year, p = 0.02), BMI (kg/m²; p < 0.001), fat mass (kg; p = 0.001), fat mass (%; p < 0.001), albumin (g/L; p < 0.001) and CRP (mg/dL; p = 0.001).

The results of this study showed that PhA can be used in the management of NAFLD. To identify potential mechanisms in the relationship between the angle of the liver and NAFLD, large-scale prospective studies are needed.