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Objective. Aging is a growing public health concern for people, organizations, and governments. The current study was undertaken to provide insights into the global research output on geriatric nursing. Methods. A bibliometric study was implemented using the WoS database for the period from 1900 to 2020. Various tools and measures were used to analyze and visualized. Results. The search strategy found 4923 papers. The oldest paper was written by Beverly C. Andre in 1953. As team size increases, so does the number of citations. The USA was the active country and the highest number of coauthors. New York University was an active institution. Stig Karlsson was the most active author in Geriatric Nursing with 28 articles from Sweden, followed by Koen Milisen and Sandman, with 26 articles each from Sweden and Belgium. The most frequent words in this field were depression, malnutrition, education, Alzheimer's disease, and dementia. The latest research themes in this field were COVID-19, interprofessional locomotive syndrome, emergency nursing, and public health. The most influential papers were specified. Journal of the American Geriatrics Society was the most active journal. Conclusions. Geriatric nursing is a rooted field and has received special attention in the last decade. Policymakers, especially in developing countries, should pay attention to geriatric nursing as a specialty of nursing to solve aging issues they would face considering the increasing elderly population. [ABSTRACT FROM AUTHOR]

The arrival of the big data era has opened up new avenues for assessing the quality of physical education instruction. Using big data to explore these systems may help improve the quality of physical education itself, in addition to assisting schools in developing quality assessment systems for physical education. More and more schools are making football a compulsory part of their physical education and wellness curriculum. Therefore, this study used the methods of literature materials, expert interviews, questionnaires, and Delphi method to determine the evaluation indicators and index weight coefficients of football teaching and borrowed the application background of big data to initially explore the construction of a football teaching quality evaluation system. To this end, this paper completes the following tasks: (1) The current state of football teaching quality evaluation studies in the United States and internationally is summarized. (2) A football teaching quality evaluation system based on the background of big data is constructed. (3) Our experiments show that the assessment approach described in this study is scientifically and rationally distributed and can accurately represent all components of physical education. As a result, evaluating football instruction using big data is a possibility. [ABSTRACT FROM AUTHOR]