Global Research Research Articles

Research trends on forensic entomology for five decades worldwide

Forensic entomology, the study of insects and arthropods in criminal investigations, is crucial for estimating postmortem intervals, determining changes in corpse positioning, and identifying causes of death. This study analyzes global research trends in forensic entomology using data from the Scopus database spanning 1970 to 2024, with data visualized through VOSviewer. A total of 2,261 articles were identified, with an average productivity of 42 papers per year. The leading countries in forensic entomology research are the United States (n = 444), Brazil (n = 266), China (n = 198), the United Kingdom (n = 194), and Germany (n = 156). Current hot topics in the field include pupae, feeding behavior, beetles, and genetics. These findings underscore the ongoing interest and advancements in forensic entomology, highlighting its significance and diverse applications in criminal investigations.

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ И МАШИННОЕ ОБУЧЕНИЕ В ПЕДИАТРИИ - СОВРЕМЕННЫЕ ИССЛЕДОВАНИЯ И НЕИЗВЕДАННЫЕ ГОРИЗОНТЫ

The scientific article examines the implementation of digital technologies in the field of medicine. This review summarizes current data on the use of artificial intelligence and machine learning (AI-ML) in pediatrics based on global research. Currently, machine learning helps create models for predicting the severity of the condition in children with bronchiolitis, neonatal sepsis, bacterial infections, necrotizing enterocolitis, for screening autism, and internalizing disorders. The review highlights the variety of algorithms, analyzes the main methods with algorithms used in the development of artificial intelligence, and their application depending on specific tasks and requirements. As a result of the work, the relevance and necessity of using intelligent technologies in the modern world was determined. It was also found that despite the serious difficulties in implementing AI-ML systems, the prospects for their use encourage the search for solutions to overcome any obstacles. Highly qualified specialists from different parts of the world are constantly working on the development of this area.

Enhancing Heart Disease Prediction through Machine Learning: A Comparative Analysis of Algorithm Generalization across Datasets with Various Distributions

Heart disease, due to its high prevalence and mortality, remains a key area of global research. Although traditional diagnostic methods are effective, they are often invasive and time-consuming, highlighting the need for non-invasive, AI-based approaches. A significant challenge in real-world applications is ensuring model generalization across different datasets, particularly when the datasets are small. In this study, the performance of machine learning models, including Decision Tree, Random Forest, Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP), was evaluated on two distinct heart disease datasets with different distributions and relatively small sizes. Two datasets with varying distributions were used for training and testing, with the primary focus on assessing model generalization in crossdataset applications. It is shown in the results that, while the Decision Tree model performed best after hyperparameter tuning, the improvements in Random Forest and MLP were limited, and SVM exhibited a decline in performance after tuning in the cross-dataset task. It was found that grid search tuning has limitations in cross-dataset scenarios, especially with small datasets, where complex models are prone to overfitting. The study demonstrates that, with smaller datasets, simpler models like Decision Trees often adapt better to different datasets. Furthermore, transfer learning and domain adaptation techniques are suggested as crucial for improving model generalization. Future research should focus on employing these techniques to enhance the robustness and accuracy of heart disease prediction models across diverse datasets.

Key competencies for global health research: systematic literature review and mapping

Abstract Background Despite a boom in global health programmes and trainings, there is a lack of clarity and standardisation about which competencies are essential for researchers in global health, who stem from diverse disciplines and backgrounds. The objective was to map key competencies for global health research and approaches to progressively develop them in education and training. Methods We performed a systematic review in English in PubMed/MEDLINE, Web of Science, and Psychinfo/EBCSO host of literature published since 1 January 2010. 1827 articles were screened in duplicate. Data was extracted from 84 publications about focus in global health, recommended competencies and educational approaches, with two researchers giving a relevancy rating. AI-assisted extraction was conducted on 40 high-relevance publications to garner further information, informing development and application of a coding framework to these articles. Results Emerging results point to eight main domains and numerous subdomains related to competencies seen as critical for global health research. In addition to traditionally emphasised cognitive competencies (e.g. methodological), the literature underlined the importance of critical analyse of how systems related to globalisation, political economy and structural injustice shape health at local level. Also highlighted was the need for more focus on affective and practical competencies for conducting global health research in alignment with equity principles, including through innovative pedagogical approaches. Conclusions Our review identifies competencies seen as essential for global health researchers, including skills to critically analyse geopolitical, colonial and structural drivers, as well as self-reflexivity, (cultural) humility and other key affective competencies. It also highlights, however, the significant diversity of perspectives, lack of consensus, and ongoing disconnect between principles and practice. Key messages • Greater clarity and consensus is needed around the specific competencies required to work as a researcher in global health, taking account of diversity across disciplines, sectors and stages. • Global health researchers require skills to critically analyse geopolitical, colonial and structural drivers, as well as self-reflexivity, (cultural) humility and other key affective competencies.

Global malaria vaccine research and community perception in Africa: a systematic review

Abstract Background Malaria vaccine is one of the critical areas in tropical health research, considering the success recorded in other vaccine-preventable diseases. This review provides an overview of global malaria vaccine research and systematically reviews community perception of the vaccine in Africa. Methods A validated search was conducted to identify scientific literature on malaria vaccines in the Scopus database from 2005. Bibliometric indicators explored include publication/citation indices over time and the overall research themes using VOSviewer. A further in-depth search was undertaken in five databases to identify studies on community perception of malaria vaccine in Africa. Studies were screened, quality appraised, and narratively synthesized. Results 6457 malaria-vaccine-related documents were found in 160 journals/sources from 189 countries/territories. There were 214,323 total citations, with 33.2 average citations per document and 167 documents’ h-index. The United States, United Kingdom and Australia combined produced more than 60% of the publication output. Six themes emerged from the global malaria vaccine research: Merozoite surface protein, characterization, trials, infant/children, traveler, and research/review. Twenty studies (n = 20) met the inclusion criteria for the systematic review. Overall perceptions of malaria vaccines varied in African communities (26.2-88.2%), in addition to higher willingness to accept the vaccines (32.3%-96.0%), poor knowledge/awareness (11%-60%) and misconceptions (19.2%-20.9%). Other issues identified include vaccine availability and logistics. Conclusions Malaria vaccine research and citations have increased considerably, mainly targeting vaccine development and safety/efficacy in Africa. African communities’ perceptions of the vaccine varied, with most of the population willing to accept the vaccine. Key messages • An increase in number of malaria vaccine research targeting vaccine development, and safety and efficacy in Africa. • Varried malaria vaccine perception in Africa, including willingness to accept the vaccine, awareness, misconceptions, availability and logistics.

Delirium and risk of incident cardiovascular events in elderly: data from a global health research network

Abstract Introduction Delirium is a common complication of acute medical disorders. A strong association between cardiovascular events and the occurrence of delirium has been recorded. Thus far, no data are available regarding the risk of incident cardiovascular events after delirium onset in older adults. Methods Using data from TriNetX, a global health federated research network, we performed a propensity score matched (PSM) analysis of older adults (age ≥65 years) admitted to the emergency department (ED) reporting delirium within two weeks, who were compared with those without delirium. We evaluated the occurrence of a composite outcome of cardiovascular events (myocardial infarction, ischemic stroke, heart failure, intracranial haemorrhage, ventricular arrhythmias, takotsubo syndrome, and atrial fibrillation) at 30 days and 1 and 3 years of follow-up. Results 4,480,229 patients were retrieved for the analysis, and 82,693 (1.8%) reported delirium. Before PSM, patients reporting delirium were older, with more prevalent comorbidities. After PSM, a total of 165,386 patients were included in the analysis (mean (SD) age 76.6 (9.0) years, 51.1% females). Throughout the entire follow-up period, the cumulative composite cardiovascular events outcome was significantly higher in patients which reported delirium [Red Line, Figure 1]. Delirium was associated with cardiovascular events at 30 days (HR 1.96, 95% CI 1.92-2.00) ,1 year (HR 1.75, 95% CI 1.72-1.78) and 3 years (HR 1.67, 95% CI 1.64-1.69) of follow-up, as well as for each of its components (Table 1). The presence of delirium was also associated with a higher risk of all-cause death and hospital access (Table 1), evaluated as secondary outcomes. In patients with delirium associated with the occurrence of incident cardiovascular events, there was a higher risk of recurrent cardiovascular events at 1 year (HR 3.11, 95% CI 2.92-3.31) and 3 years (HR 2.84, 95% CI 2.67-3.01) of follow-up. Conclusions In a large, unselected cohort of older adults admitted to ED, occurrence of delirium was associated with a higher risk of cardiovascular events, both in the short and long-term follow-up.Figure 1:Delirium and CV EventsTable 1:Cox Regression Analysis

Next-generation public health surveillance: extreme heat event prediction and monitoring system

Abstract Background Extreme Heat Events (EHEs) are a growing threat to public health. The increase in the frequency of occurrence of once rarer EHEs and the rise in their average temperatures are dangerously drastic for public health outcomes. Despite this, existing public health surveillance (PHS) systems fail to leverage IoT and AI technologies to facilitate real-time, continuous monitoring of EHE indicators and its associated health risks. This study closes this gap by proposing a comprehensive PHS system that can, in real-time monitor and predict EHE indicators to provide timely alerts to public health authorities. Methods The EHE PHS system collects EHE detection metrics, including indoor temperature and humidity levels, from IoT sensors and thermostats to map them across Canada, primarily focusing on low-income communities. The system also integrates historical climate data (surface temperature, humidity, wind speed and direction, and air quality indicators) from Environment Canada. The system uses the data to train initial prediction models including CNN, LSTM and GNN. The validated model will be integrated into the system, enabling real-time EHE prediction. The output will be displayed in user-friendly visualizations on the EHE PHS system’s dashboard capabilities. Results The system allows for the analysis of real-time data through dashboards and provides alerts when certain indicators (e.g. excessive or prolonged heat) detrimental to public health outcomes are detected. The alerts enable valuable lead time for public health authorities to implement proactive measures, such as issuing heat advisories and deploying resources to vulnerable areas. Conclusions The EHE PHS system will serve as a blueprint for global public health researchers, utilizing IoT and AI technologies for proactive crisis prevention. This knowledge will inform the development of heat-resilient policies and set a precedent for global public health crisis prevention. Key messages • The proposed EHE PHS system uses AI and IoT technologies, to enhance EHE prediction, risk identification, and real-time monitoring for effective public health interventions. • By integrating advanced predictive models and environmental data, the system facilitates early detection of EHE risk, which can significantly mitigate the health impact on vulnerable populations.

Ten-year outcomes in patients with hypertension and primary hyperaldosteronism undergoing surgical adrenalectomy versus medical therapy: data from the multinational collaborative network TriNetX

Abstract Background Surgical adrenalectomy for resection of adenomas has been the standard approach for treating patients with secondary hypertension due to primary hyperaldosteronism. However, few studies explored long-term outcomes in patients treated with adrenalectomy when compared to patients treated with conservative management. Purpose To compare ten-year mortality and cardiovascular outcomes in patients with primary hyperaldosteronism treated with surgical adrenalectomy versus patients with primary hyperaldosteronism treated with medical therapy alone. Methods This retrospective cohort study used real-world data from healthcare organizations participating in the global health research collaborative network TriNetX. We performed propensity score matching for demographic and clinical characteristics and calculated hazard ratios, comparing 2.397 patients in each group. The outcomes were all-cause death, heart failure, and the composite endpoint ischemic stroke, hemorrhagic stroke, myocardial infarction, unstable angina, and aorta aneurysm or dissection (major adverse vascular events) during the 10-year follow-up. Results Patients undergoing surgical adrenalectomy had a lower incidence of all-cause death (3.0%) when compared with patients in medical therapy (5.0%) ( hazard ratio 0.60, 95% CI 0.45-0.81). Patients in the surgical group had a 4.6% incidence of heart failure and the medical therapy had an 8.6% incidence of heart failure (hazard ratio 0.54, 95% CI 0.42-0.69). The incidence of major adverse vascular events was lower in the surgical group (10.9%) compared to the medical therapy group (14. 1%) ( hazard ratio 0.76, 95% CI 0.65-0.90). Conclusion In patients with hypertension and primary hyperaldosteronism, surgical adrenalectomy was associated with lower 10-year mortality, heart failure, and major adverse vascular events compared to medical therapy alone.

Traceability for strengthening supply chain systems and enhancing real-time visibility: Focus of NAFDAC on advancing vaccine traceability in Nigeria

This study explores the successful implementation of activities aimed at scaling traceability for COVID-19 and routine immunization (RI) vaccines to the local government area and selected healthcare facilities in Nigeria, funded by the Bill and Melinda Gates Foundation. The study was executed by the National Agency for Food and Drug Administration and Control (NAFDAC) and sought to enhance supply chain systems by deploying advanced traceability mechanisms and ensuring real-time stock visibility. The article discusses the accomplishments, challenges, and regulatory framework of NAFDAC, emphasizing GS1 technology-driven traceability, and presents the results of the field scanning activities conducted in July 2023. The approach involved a phased public sector pilot, showcasing the feasibility and challenges of tracking vaccine movement through the supply chain. The result shows the detection of 43 unique products across 1022 facilities from a total of 110,113 scans, offering valuable insights into vaccine distributions. The strategic goals of the project aligned with developing safety surveillance systems in low- and middle-income countries (LMICs) to facilitate patient access to global health products. Similarly, significant improvement in traceability through automated data capture (barcode scanning) and expanded coverage for COVID-19 and selected RI vaccines in Nigeria was found. Against this background, the information derived from this report will build confidence in patients regarding vaccine authenticity, establish a transparent and robust supply chain, and foster pharmacovigilance capability through integration with the track-and-trace systems. Thus, the study provides invaluable insights and opportunities for global health practitioners, policymakers, and researchers to incorporate track-and-trace into regulatory systems by other national regulatory authorities.

SGLT2 inhibitors in patients with amyloidosis and heart failure: a worldwide retrospective cohort study

Abstract Background Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce the combined risk of death and hospitalization in patients with heart failure with reduced or preserved left ventricular ejection fraction. However, evidence of their impact on patients with heart failure due to amyloidosis is lacking. Purpose To evaluate the effects of SGLT2 inhibitors on mortality and hospitalization in patients with amyloidosis and heart failure. Methods In this retrospective cohort study, we used real-world data from 108 healthcare organizations worldwide from the global health research collaborative network TriNetX. We identified 24,619 patients with amyloidosis and heart failure without exposure to SGLT2 inhibitors (control group) and 2,988 patients with amyloidosis and heart failure under treatment with SGLT2 inhibitors (SGLTi group). We performed propensity score matching for demographic and clinical characteristics and Kaplan–Meier plots, log-rank tests, and Cox proportional hazard models were calculated. The outcomes were 12-month all-cause death and 12-month hospitalization. Results After propensity score matching, 2,237 patients were analyzed in each group. During the 12-month follow-up, 198 (8.8%) patients died in the SGLT2i group, and 431 (19.2%) patients died in the control group (hazard ratio 0.51, 95% CI 0.43-0.61). In the SGLT2i group, 974 (44.5%) patients were hospitalized, and in the control group, 1508 (53.5%) patients were hospitalized (hazard ratio 0,79, 95% CI 0.72-0.86). The Kaplan-Meier curves are shown in Figure 1. Conclusions In conclusion, in this retrospective cohort study with a large number of patients with amyloidosis and heart failure, SGLT2 inhibitors were associated with a lower 12-month all-cause mortality and hospitalization. Further evidence from randomized controlled studies are needed to confirm the efficacy of SGLT2 inhibitors in patients with cardiac amyloidosis.Figure 1.Kaplan-Meier curves

Green supply chain management: a bibliometric analysis of global research trends and future directions

ABSTRACT This study presents a comprehensive bibliometric analysis of GreenSupply Chain Management (GSCM), examining its evolution andprospective directions across strategic, operational, and economicdimensions. Drawing upon organizational theory, stakeholder theory,operations management, environmental management, accounting, andeconomics, the study applies bibliometric techniques, including wordanalysis and network analysis, to discern significant researchtrends. It emphasizes the necessity of aligning strategic objectiveswith environmental sustainability and implementing operationalmeasures to achieve environmental goals while also analyzing theeconomic implications of sustainable practices. Furthermore, thestudy highlights the long-term financial advantages of thesepractices and the potential contributions of emerging technologies,such as blockchain, the Internet of Things, and ArtificialIntelligence, to the enhancement of GSCM.

The global research landscape and future trends in healthcare Total Quality Management

Total Quality Management (TQM) is instrumental in augmenting the quality and efficacy of healthcare service delivery, but a comprehensive evaluation of present and evolving TQM research trends within healthcare research articles is notably absent. This study provides an insightful view into the prevailing international scenarios and upcoming research frontiers in healthcare TQM research field, utilizing bibliometric mapping through VOSviewer. Drawing data from 360 publications in the Web of Science core citation database, it delineates a steady growth in the field over the last 30 years. Research outputs span 51 countries and regions, with notable contributions from the United States, United Kingdom, Netherlands, and Italy. The top five research institutions and numerous authors predominantly hail from the United States. Key keywords in near years encompass healthcare safety, healthcare quality assurance, quality indicators, and the application of Six Sigma management principles. This exploration serves as a pivotal reference for understanding the global research landscape and future trends in healthcare TQM, particularly in guaranteeing quality and safety. Future scientific endeavors will build upon these focus areas, exploring and connecting research gaps in more specialized fields.

A global research agenda for understanding the role of alcohol consumption in older women’s lives

Abstract Background The alcohol industry has targeted women for profit and resisted global efforts to address the impact of alcohol on women’s health. Scholars have called for research that moves beyond individual determinants of alcohol consumption in women, to investigate the range of social, environmental, and commercial factors that may contribute to women’s alcohol attitudes, risk/benefit perceptions, and consumption behaviours. While qualitative research has explored younger and midlife women’s perspectives on alcohol consumption, there is a notable lack of research focusing on older women. Methods This study investigated the factors that influence how older Australian women drinkers conceptualised the role of alcohol in their lives, using data collected from an online qualitative survey with n = 144 women aged 60-88 years. Qualitative responses were analysed using a ‘Big Q’ reflexive approach to thematic analysis. Results Participants perceived alcohol consumption as a socially accepted and normalised activity within Australian culture. For some women, alcohol served as a coping mechanism for life changes, such as retirement, and for managing stressful situations. Alcohol also formed part of daily routines and rituals, such as having wine with dinner. Participants had personal expectancies regarding ‘responsible drinking’, often aligning with alcohol industry messaging and resulting in a reduced perception of alcohol-related risks. Conclusions This research provides global lessons for future public health research examining the factors that may shape older women’s alcohol consumption beliefs and behaviours. The authors consider the unique needs and potential vulnerabilities of older women drinkers, and how these may be potentially exploited by the alcohol industry. Further public health research and policy attention should focus on the impact of alcohol industry messaging on older women’s knowledge, attitudes, and behaviours about alcohol risks and harms. Key messages • This research highlights the role of alcohol in older women’s lives, urging further public health research and policy attention to prevent alcohol-related harms in older women. • Older women’s perceptions of responsible alcohol consumption mirror the ambiguous messaging employed by the alcohol industry, highlighting the necessity for targeted interventions.

Environmental niche models improve species identification in DNA barcoding

Abstract Recent advances in DNA barcoding have immeasurably advanced global biodiversity research in the last two decades. However, inherent limitations in barcode sequences, such as hybridization, introgression or incomplete lineage sorting can lead to misidentifications when relying solely on barcode sequences. Here, we propose a new Niche‐model‐Based Species Identification (NBSI) method based on the idea that species distribution information is a potential complement to DNA barcoding species identifications. NBSI performs species membership inference by incorporating niche modelling predictions and traditional DNA barcoding identifications. Systematic tests across diverse scenarios show significant improvements in species identification success rates under the newly proposed NBSI framework, where the largest increase is from 4.7% (95% CI: 3.51%–6.25%) to 94.8% (95% CI: 93.19%–96.06%). Additionally, obvious improvements were observed when using NBSI on potentially ambiguous sequences whose genetic nearest neighbours belongs to another species or more than two species, which occurs commonly with species represented by single or short DNA barcodes. These results support our assertion that environmental factors/variables are valuable complements to DNA sequence data for species identification by avoiding potential misidentifications inferred from genetic information alone. The NBSI framework is currently implemented as a new R package, ‘NicheBarcoding’, that is open source under GNU General Public Licence and freely available from https://CRAN.R‐project.org/package=NicheBarcoding.

Advancing Knowledge in Forest Water Use Efficiency Under Global Climate Change Through Scientometric Analysis

Forests are critical in regulation of carbon and water cycles and mitigation of climate change. Forest water-use efficiency (WUE) refers to the ratio of biomass produced (or assimilated carbon) to the amount of water used by forests, which indicates how effectively a forest utilizes water to achieve productivity. Climate change and its impact on forest WUE are important research directions that explore the complex relationship between global environmental change and the forest ecosystem dynamics. The global intensification of climate change underscores the need for an inclusive understanding of forest water use and makes it crucial to know how forests balance carbon and water resources, which is essential for effective forest management and predicting ecosystem responses to climate change. This study aims to comprehensively and objectively analyze current research trends and future directions related to the response of forest WUE to climate change. Our database included 1755 research papers from the Web of Science Core Collection, spanning from 2000 to 2023. Our analysis included cooperative networks of countries, authors, and institutions, as well as the most frequently cited journals and articles, keyword co-occurrence analysis, and a keyword burst analysis. The results showed that the top cooperative country, author, and institution is PR China, Prof. Dr. Jesús Julio Camarero from the Consejo Superior de Investigaciones Científicas (CSIC), and the Chinese Academy of Sciences, respectively. The leading journal in this field is “Global Change Biology”. Critical research hot topics include gas exchange, modeling, altitudinal gradients, tree growth dynamics, net carbon exchange, global change drivers, tropical forests, nitrogen stoichiometry, Northern China plains, and extreme drought conditions. Frontier topics that have emerged in recent years include studies on China’s Loess Plateau, stable isotopes, radial growth, gross primary productivity, and Scots pine. The insights from this analysis are vital for researchers, decision-makers, and forestry professionals aiming to mitigate the impacts of climate change on forest WUE and overall ecosystem health and resilience. This study emphasizes the importance of sustained research efforts and global research collaboration in addressing the intricate challenges posed by climate change to forest ecosystems.

Message from the Editor-in-Chief

The IJHE continues to be the choice of journal for many global researchers. As such, the strength of the IJHE journal is reflected in this issue’s five research articles from Canada, South Korea and Saudi Arabia. This issue has a strong focus on improving the online curriculum and learning space for students. Global events continue to dominate media outlets and present everyday challenges for some with seemingly no end or resolve. With significant political change in the air, it is important that we continue to prioritise education and lifelong learning, researching areas that will improve educational access and strategies for success. The IJHE provides an important platform for the development of theory, the addressing of policy questions, and the dissemination of innovative practice in the field of tertiary education, specifically widening participation and lifelong learning.

Global research landscape on the genetics of congenital heart disease: A bibliometric and visualized analysis via VOSviewer and CiteSpace.

Genetic factors play a significant role in the development of congenital heart disease (CHD). Many studies on the genetics of CHD have been published worldwide; however, no research has assessed and mapped the global research landscape of these studies. This bibliometric and visualized study aimed to delineate research hotspots and trends in the field of CHD genetics. Scientific papers on the genetics of CHD from January 1, 1950, to December 31, 2023, were obtained by searching the Web of Science Core Collection. The bibliometric metadata of each chosen research paper were extracted, analyzed, and visualized using tools such as Microsoft Excel 2021, VOSviewer, and CiteSpace. The final analysis included 5317 papers discussing the genetics of CHD. The countries and journals that published the highest number of papers were the United States (n = 2118), and American Journal of Medical Genetics Part A (n = 332), respectively. In addition to CHD and genetics, keywords such as tetralogy of Fallot, ventricular septal defect, and atrial septal defect appeared most frequently among 8365 keywords. Eight clusters were formed to categorize the keywords. Keywords such as case-control study, whole genome sequencing, and whole exome sequencing in clusters 6, 7, and 8, respectively, had the latest average publication year among all clusters. To the best of our knowledge, this is the first bibliometric analysis of CHD genetics studies. Tetralogy of Fallot, ventricular septal defect, and atrial septal defect are global research topics. The interactions between environmental and genetic factors in the pathogenesis of CHD, genetic etiology of CHD-associated pulmonary arterial hypertension, and molecular genetics of CHD via high-throughput genomic technology are possible areas of future research on the genetics of CHD.

A bibliometric analysis and visualization of global food addiction over the last decade.

Food addiction is a chronic psychological disorder resulting from repeated consumption of highly palatable foods, leading to physical and mental harm. It involves individuals who struggle to control their intake of high-energy, high-fat, and high-sugar foods, often experiencing withdrawal reactions and intense cravings that trigger binge eating during stress. Recent research has focused on the impact of food addiction on physical health, nutrition, and mental well-being. This study aims to review and analyze current evidence on food addiction to advance research in China. A total of 941 articles on food addiction published between January 2013 and April 2023 were analyzed using the Web of Science Core Collection. CiteSpace software was utilized to identify research trends, collaborations among disciplines, authors, and institutions, as well as key topics and emerging keywords. The number of publications on food addiction has steadily increased over the past decade, with the United States leading in research output (393 articles). The University of Michigan and author Gearhardt AN were prominent contributors. Key research topics included obesity, eating disorders, addiction, and overeating. Emerging themes encompassed obesity psychology, food composition, brain function, and behavioral addiction. Global research on food addiction primarily focuses on understanding the psychological and neurological underpinnings, metabolic implications, addictive behaviors, and treatment modalities such as sleeve gastrectomy. Future research aims to develop personalized prevention and intervention strategies for food addiction.

A Bibliometric Analysis of the Articles Published in the Aesthetic Plastic Surgery Journal (1976-2023).

Despite the important role of the Aesthetic Plastic Surgery (APS) journal in the field of aesthetic plastic surgery, there is a notable absence of literature that focuses exclusively on the bibliometric analysis of this journal. In recognition of APS's 48 years of publishing, this study aims to perform a bibliometric analysis of the articles published in the APS (1976-2023). Articles published in the APS were extracted from the Web of Science Core Collection database. VOSviewer was employed to perform bibliometric analyses. Microsoft Excel was utilized to analyse the publication and citation trends. From 1976 to 2023, 5134 articles were published in the APS. These articles were contributed by 12,963 researchers from 3354 institutions across 91 countries. The USA and China were the leading contributors. The most prolific author is Luan Jie from China. The co-citation networks highlighted the influence of the journal Plastic and Reconstructive Surgery. We categorized the articles into four groups, and the results show that articles with the highest publications and citations in the APS are related to facial cosmetic surgery. In terms of specific surgical procedures, breast augmentation surgery has garnered consistent attention from researchers over the past 48 years, ranking first in both the number of publications and citations. The findings of this study indicate that the APS is a significant scientific journal, is widely utilized by global researchers in the field of aesthetic plastic surgery, and spans diverse knowledge domains. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Challenges library and information science (LIS) postgraduate students encounter in research topic selection

This study examines research topic selection among LIS postgraduate students in Tanzania. A quantitative approach was used to collect the data, and purposive sampling was used to recruit a total of 105 respondents. Key findings showed that research topic selection is influenced by how extensively the topic has been researched, postgraduates’ personal interests and whether the topic has been previously researched by a student. Insufficient research knowledge, little global LIS research exposure and insufficient supervisory leading roles affect research topic selection. Findings showed male and doctorate postgraduate students face more challenges in LIS research topic selection. The study concludes that LIS postgraduates’ research topic selection is challenging due to insufficient research methodology training and foundations. The study suggests research methodology training for supervisors and students, revising LIS curricula and appropriate research guidance to LIS postgraduates would be important in addressing the challenges found. The study also recommends the establishment of an LIS national repository centre with research content accessible to all students.