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Aims: The purpose of this study is to examine the relationship between keywords in existing global health nursing studies during 44 years (1974-2017) and to develop schematic diagrams of the relationship between these keywords from a macro perspective. It is to identify the trend of the literature in global health nursing field.
Design: A descriptive bibliometric analysis of publications in global health nursing.
Methods: The keywords from 7,115 articles and literatures were examined using the Text Rank Analyzer via the applied text network analysis with NetMiner 4.0.
Results: As for global health nursing, keywords with the most frequent appearance and the highest networking degree in centrality were 'study', 'patient', 'nurse', and 'women'. Six central keywords were also found highly related to other keywords: 'global health nursing', 'study', 'patient', 'care', 'nurse', and 'education'. By measuring the degree of keywords connected to other keywords in centrality, six clusters were established. Then, emerging topics assessed by time periods were identified as follows: the beginning phase ('breastfeeding', 'women', and 'children'), the development phase ('quality', 'life', and 'human immunodeficiency virus'), the maturation phase ('mental health', 'depression', and 'global health'), and the expansion phase ('pregnancy', 'palliative care', and 'infectious disease').
Conclusion: The identified trends on this study will help nurse leaders to grasp the trends and insights for global health and to train future nurses to serve clients better in the practice fields.
Impact: Keywords with the highest appearance and centrality in the network were found in the global health articles. The bibliometric analysis showed various subjects according to the following phases: beginning development maturation and expansion. The awareness of the trend change in the global health helps nursing researchers and educators modify the curriculum of global health nursing and train future nurses to be equipped with the global health competencies.
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http://dx.doi.org/10.1111/jan.14685 | DOI Listing |
Talanta
September 2025
Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. Electronic address:
Food spoilage poses a global challenge with far-reaching consequences for public health, economic stability, and environmental sustainability. Conventional analytical methods for spoilage detection though accurate are often cost-prohibitive, labor-intensive, and unsuitable for real-time or field-based monitoring. Microfluidic paper-based analytical devices (μPADs) have emerged as a transformative technology offering rapid, portable, and cost-effective solutions for food quality assessment.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Department of Information Systems and Cybersecurity, The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX, 78249, United States, 1 (210) 458-6300.
Background: Adverse drug reactions (ADR) present significant challenges in health care, where early prevention is vital for effective treatment and patient safety. Traditional supervised learning methods struggle to address heterogeneous health care data due to their unstructured nature, regulatory constraints, and restricted access to sensitive personal identifiable information.
Objective: This review aims to explore the potential of federated learning (FL) combined with natural language processing and large language models (LLMs) to enhance ADR prediction.
Interact J Med Res
September 2025
Department of Medicine, MacKay Medical College, New Taipei, Taiwan.
Background: Dengue fever remains the most significant vector-borne disease in Southeast Asia, imposing a substantial burden on public health systems. Global warming and increased international mobility may exacerbate the disease's prevalence. Furthermore, the unprecedented COVID-19 pandemic may have influenced the epidemiological patterns of dengue.
View Article and Find Full Text PDFJMIR Hum Factors
September 2025
School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Background: Sleep duration plays a crucial role in cognitive health and is closely linked to cognitive decline. However, the relationship between sleep duration and cognitive function in the Chinese population remains poorly understood.
Objective: This study aims to evaluate the association between sleep duration and cognitive function among middle-aged and older adults in China.
Age Ageing
August 2025
Department of Social Determinants of Health, Division of Healthier Populations, World Health Organization, Geneva, Switzerland.
The Abuse of Older People - Intervention Accelerator (AOP-IA) project aims to accelerate the development of effective interventions to prevent and reduce AOP aged 60 and older within the framework of the United Nations Decade of Healthy Ageing (2021-2030). The AOP-IA was launched in response to the global need for interventions with proven effectiveness, as few existing approaches have been rigorously evaluated. This paper focuses on the first two phases of the AOP-IA project, which involved conducting a systematic search, screening and evaluation process to identify candidate interventions ready to be rigorously evaluated in future stages of the project, as well as establishing a network of intervention developers.
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