Author(s): Phillipa Hay[sup.1] and Stephen Touyz[sup.2] Editorial This year's Editorial began its life in Antipodean summer in a bay close to where sounds of bell birds and tui, the most melodious wild music first received international attention from records of Cook's journeys in eighteenth century [1]. At that time global journeys were dangerous and rare and their scientific discoveries took years to reach a publisher. Now we live in a world community with rapid communications that means that (on a good day) one can communicate to anywhere with an internet connection from shores Cook took refuge in in 1770. Eating Disorders, like communications, are now global. By its inherent qualities of open access Journal of Eating Disorders is in a position to disseminate and reach every corner of world, and people within them working in field of eating disorders who have access to internet. Alongside this there is an imperative that we understand eating disorders and how to manage them in ways that are helpful beyond our own perspective. In 2015 Journal of Eating Disorders published its first special series on Current Status of Eating Disorders: General and Special Population studies. Many of papers that were submitted were from Asia and accompanying review by Pike and Dunne [2] underscores rise in eating disorders across Asia in particular. Another article in special series points to increasing prevalence of eating disorders across all age groups, both sexes and throughout all socio-economic groups in Australia [3]. Furthermore throughout 2015 Journal's website conveyed an invitation from World Health Organization Global Clinical Practice network for readers to contribute their expertise in Eating and Feeding Disorders to current revisions to ICD-11 [4]. Whilst similar to DSM-5 [5] there will be differences in diagnostic criteria reflecting global cultural and clinical diversity. In 2016 researchers and clinicians working across world thus have opportunity to have input into ICD-11 and its final criteria scheduled to be published in 2017. Along with globalisation and revisions to diagnostic criteria there are increasing challenges to our conceptualisation of What is an eating disorder. Pike and Dunne's [2] review points to diversity of expression of an eating disorder within population samples in Asia. For example, they report a study which found no body image disorder and/or no fat phobia in a large minority of Japanese women with anorexia nervosa. In their review they also point to factors of industrialization and urbanization as being as great if not more significant than Westernization cultural values in understanding rise of eating disorders in Asia and other parts of globe. Taken together this underscores degree to which eating disorders classification is in a state of flux and subject to diverse socio and cultural influences. With Research Domain Criteria (RDoC) [6] movement leading way we may come closer to an understanding of neuroscience of appetite, satiety and its relationship to eating and weight facilitating a new understanding of disorders of feeding and eating. We anticipate increasing science in this area written and published in Journal. It is also important to distil science and disseminate it to clinicians and wider community and in this regard systematic and scientific review is imperative. The Pike and Dunne, and other reviews published in journal reflect this and for first time this year we gave a prize both for a primary research paper and for a review paper. We congratulate again our prize winners, for 2015: Dr Loa Clausen [7] and Dr Carmel Harrison [8]. Finally, reflecting growing globalisation of science, journal encourages and endeavours to support papers from non-English speaking countries. We recognise however that it is imperative to better develop processes that allow that to occur, and to have efficient processes in place. …
0 0 1 183 1008 Cusur 8 2 1189 14.0 Normal 0 21 false false false ES-MX JA X-NONE Abstract The aim of this research was to characterize the scientific production of the Revista Mexicana de Trastornos Alimentarios /Mexican Journal of Eating Disorders during the 2010-2014 period. A retrospective and descriptive analysis of published articles in the period 2010-2014 was performed. The type of production, authorship pattern, country, average number of references per article, and type of documents cited were analyzed. The results showed that 70 articles were published in five volumes of the Revista Mexicana de Trastornos Alimentarios /Mexican Journal of Eating Disorders. The highest percentage was original studies (64.28%). The mean number of author per article was four, and five women were the highest productive ones. Mexican researchers have been made the most percentage of contributions (60%) and most of them belong to the Universidad Nacional Autónoma de Mexico . Furthermore, the collaboration among researchers of two or three different countries was identified. On average of 46 references were cited per article, mostly of them were scientific journal articles. It is concluded that Revista Mexicana de Trastornos Alimentarios /Mexican Journal of Eating Disorders showed similar indexes to those obtained by health journals and psychology journals. Resumen El objetivo de esta investigación fue caracterizar la producción científica de la Revista Mexicana de Trastornos Alimentarios/ Mexican Journal of Eating Disorders del periodo 2010-2014. Se llevó a cabo un análisis descriptivo retrospectivo de los artículos publicados en el periodo 2010-2014. Se analizó el tipo de artículo, el patrón de autoría, país, promedio de referencias incluidas en los artículos y tipo de referencia incluida. Los resultados mostraron que se publicaron 70 artículos en los cinco volúmenes de la Revista Mexicana de Trastornos Alimentarios/ Mexican Journal of Eating Disorders . El mayor porcentaje de artículos correspondió a trabajos originales (64.28%). El promedio de autores por artículo fue de cuatro y se identificaron cinco autoras con la mayor producción. Investigadores mexicanos han realizado el mayor porcentaje de contribuciones (60%) y la mayoría pertenece a la Universidad Nacional Autónoma de México. Asimismo, se identificó la colaboración entre investigadores de dos o tres países. En promedio se incluyeron 46 referencias por artículo, principalmente artículos de revistas científicas. Se concluye que la Revista Mexicana de Trastornos Alimentarios/ Mexican Journal of Eating Disorders presentó índices similares a los obtenidos en revistas del área de la salud y de psicología. 96 Normal 0 21 false false false ES-TRAD X-NONE X-NONE 96 Normal 0 21 false false false ES-TRAD X-NONE X-NONE
Authors: Phillipa Hay (corresponding author) [1,2]; Stephen Touyz [3] Editorial Some of us can recall the fervour and excitement surrounding the introduction of the third revision of the American Psychiatric Association?s Diagnostic and Statistical Manual of Mental Disorders (DSM) [1] onto the international psychiatric stage in 1980. History will judge the fifth revision of the DSM (DSM-5) [2] and whilst the response thus far appears more muted there are a number of substantive changes already impacting on clinicians and academics. For example, lecturers revising their power-points find it a much simpler system to explain with no axes to distinguish it from general medical classifications or to be a proxy for a simplified formulation. In assessment, Engel [3] and colleagues? ?biopsychosocial? approach to psychiatric formulation may thus resume importance in capturing the understanding of the patient?s problems beyond the diagnosis. Whether the WHO disability scale [4] will have the utility and familiarity as the Global Assessment of Function (GAF [5]) is also unknown, particularly given the highly variable use of the GAF. Beyond the clinician what do the changes mean for academics? Already instruments like the Mini International Neuropsychiatric Interview [6] need urgent official upgrades. Fortunately the gold standard assessment instrument in Eating Disorders research, the Eating Disorder Examination (EDE) [7] and its self-report sister instrument the EDE-Q [8] require little adaptation and indeed have benefited from the alignment of criteria for presence of bulimia behaviours across disorders. Thus researchers will no longer have to inquire about binge eating over the past 6-months (as it is now diagnosed over 3-months) and the final question on menstrual function is no more a diagnostic item for anorexia nervosa. Will Journal of Eating Disorders accept papers using DSM-IV [5] criteria? The short answer is in most instances ?no?, unless authors make a compelling argument. For example in a longitudinal study it is usually not possible to reclassify participants diagnosed according to DSM-IV criteria at entry to the study. There will be an expectation that authors doing systematic reviews carefully check the criteria used for diagnoses in papers. Many applied broad criteria for bulimia nervosa or anorexia nervosa (e.g., the ?Oxford? criteria of once weekly binge eating [7]) that now accord with DSM-5 criteria and this should be reported in the review. What about the alternate international scheme, the World Health Organisation?s International Classification of Diseases and Related Health Problems (ICD)? The tenth revision of the ICD (ICD-10) and DSM-IV schemes currently use similar diagnostic terms and the same numerical systems. This assisted hospital administrators who need to convert DSM-IV into ICD-10 for government data collection and similar purposes, but it was of less interest to researchers and academics. Now however there is potential for confusion with the DSM-5 using some ICD-10 terms, e.g., ?atypical? anorexia nervosa and bulimia nervosa, with different criteria. In addition, the 11th revision of the ICD [9] may remove the requirement of an objectively large amount in the criterion for binge eating episodes. These changes are of notable concern to researchers attempting to estimate incidence and prevalence data across time and space. With loosening of some diagnostic criteria (e.g., removal of the amenorrhoea criteria for anorexia nervosa) and expansion of the field to new and added disorders of feeding and eating (e.g., Avoidant/Restrictive Food Intake Disorder (ARFID)), care will need to be taken to avoid artificial increases in estimates of burden. And looking forward? We anticipate a stream of papers with reference to the new eating disorders, in particular ARFID. This is both from the child and adolescent and the adult fields as ARFID encompasses both. The area is wide open for research on ARFID assessment, epidemiology, treatment and outcome. …
Dear Readership, It is my great pleasure to present to you this special issue on medical complications in eating disorders for the International Journal of Eating Disorders. Eating disorders are complex psychiatric disorders and their treatment typically involves professionals from different specialties. This diversity of health care providers was a special motivation for me when editing this issue together with Dr. Philip Mehler. The medical complications of eating disorders are complex and it is important that anyone involved in the care of an individual with an eating disorder is aware of and understands those issues, regardless of whether we provide psychiatric or psychotherapeutic care, are a member of an interdisciplinary treatment team as a dietitian or occupational therapist, or provide medical care. The articles have been written with the goal to appeal to a broad readership, and by the same time we have made every effort to provide the most recent information and highest quality papers. Particularly important was for us that the information in the articles in this issue provide practical guidance for clinicians to help patients with eating disorders. There is debate whether providing the best medical care is primarily preventing morbidity and mortality or whether optimized medical care may even help shorten the duration of the eating disorder. What seems clear though is that the right medical care can improve quality of life for our patients and reduce suffering. Having worked in this field for 20 years, at first as a psychotherapist and then as psychiatrist and brain researcher, I deeply appreciate the medical aspects associated with eating disorders as patients typically are very grateful when they get relief from those complications. I would like to express my gratitude to Dr. Weissman, the Editor in Chief of the International Journal of Eating Disorders for making this issue possible, to Dr. Mehler for his hard work on this issue and especially to all authors and reviewers who helped compile these comprehensive reviews on medical complications in anorexia nervosa, bulimia nervosa and binge eating disorder. I hope that you will find this special issue an interesting read, a helpful resource in your clinical work as well as an enrichment for your conceptualization of the pathophysiology of eating disorders. Guido K.W. Frank, MD, FAED Associate Editor, International Journal of Eating Disorders
Previous studies have used a query-based approach to search and gather scientific literature. Instead, the current study focused on domain-specific journals in the field of eating disorders. A total of 8651 documents (since 1981 to 2020), from which 7899 had an abstract, were retrieved from: International Journal of Eating Disorders (n = 4185, 48.38%), Eating and Weight Disorders (n = 1540, 17.80%), European Eating Disorders Review (n = 1461, 16.88%), Eating Disorders (n = 1072, 12.39%), and Journal of Eating Disorders (n = 393, 4.54%). To analyze these data, diverse methodologies were employed: bibliometrics (to identify top cited documents), network analysis (to identify the most representative scholars and collaboration networks), and topic modeling (to retrieve major topics using text mining, natural language processing, and machine learning algorithms). The results showed that the most cited documents were related to instruments used for the screening and evaluation of eating disorders, followed by review articles related to the epidemiology, course and outcome of eating disorders. Network analysis identified well-known scholars in the field, as well as their collaboration networks. Finally, topic modeling identified 10 major topics whereas a time series analysis of these topics identified relevant historical shifts. This study discusses the results in terms of future opportunities in the field of eating disorders.
OBJECTIVES: Generative Artificial Intelligence (AI) could transform how science is conducted, supporting researchers with writing, coding, peer review, and evidence synthesis. However, it is not yet known how eating disorder researchers utilize generative AI, and uncertainty remains regarding its safe, ethical, and transparent use. The Executive Committee of the International Journal of Eating Disorders disseminated a survey for eating disorder researchers investigating their practices and perspectives on generative AI, with the goal of informing guidelines on appropriate AI use for authors, reviewers, and editors. METHOD: A survey was distributed globally via eating disorder organizations, professional networks, and individual researchers. Researchers (N = 158) of various career stages completed the survey. RESULTS: Nearly three-quarters (70%) reported using generative AI for research, most commonly for proofreading written work or coding support. Nine in 10 took steps to verify AI-generated output, and 1 in 3 disclosed their use of AI. Only 21% reported using AI for peer review, typically in a limited capacity (e.g., proofreading), and always with full human oversight. Authors were comfortable for editors to use AI to support administrative tasks (i.e., selecting reviewers, detecting plagiarism). However, many participants acknowledged key drawbacks of generative AI, including concerns about inaccurate outputs, ethical issues such as plagiarism, the potential for reduced critical thinking, and anticipated negative impacts on the future of eating disorder research. CONCLUSION: These insights informed the development of field-specific guidelines to support authors, reviewers, and editors in the appropriate use of generative AI in eating disorder research and publishing.
Current evidence suggests that the majority of patients with eating disorders will not fully recover during treatment, and little doubt can exist around the urgent need for improved treatment outcomes across the field of eating disorders. While empirical efforts are underway to optimize outcomes, this article reviews treatment-related research findings published in Eating Disorders: The Journal of Treatment & Prevention during 2018. Importantly, this review encapsulates research addressing (i) barriers to access and the uptake of empirically supported treatments, (ii) research assessing the delivery of empirically supported treatments across the full spectrum of patient care, and (iii) research aiming to isolate treatment mechanisms and optimize treatment outcomes across a transdiagnostic array of eating disorders. Ultimately, while much ground has been covered in 2018, further research is needed to enhance the accessibility and uptake existing treatments, since only a fraction of those with eating disorders are currently engaged in treatment. Further, with the expanding scope of non-outpatient eating disorder treatment settings, further research is required to adapt and assess the implementation of empirically supported treatments in higher levels of patient care. Lastly, in aiming to optimize patient outcomes, treatment outcome research must seek to identify (i) mechanisms that underlie illness eating disorder psychopathology, and (ii) the active mechanisms of existing treatments.
in 2024. Anorexia nervosa is the most lethal and arguably the most well-studied eating disorder, yet treatment outcomes have been slow to advance. Herein, we review advances to both measuring AN symptom severity specifiers, identifying key treatment targets, and overview treatment advances. With regards to binge spectrum eating disorders, we review how purging and non-purging compensatory behaviors impact illness severity, and carefully review evidence relating to treatment outcomes. In this review, we also review novel treatment developments including yoga-based and ayahuasca-based interventions, as well as novel treatments for augmenting weight restoration in restrictive eating disorders. Additionally, we review evidence relating to eating disorder comorbidities, elucidating the impact on illness severity and treatment outcomes, and evidence addressing access to care for specialized eating disorder treatment, and lastly, how non-outpatient levels of eating disorder care may augment outcomes. Overall, the articles published in Eating Disorders: The Journal of Treatment & Prevention in 2024 evidence the promise of treatment advances in the field and requires further work to address the development of efficacious treatments to achieve greater outcomes for those with eating disorders.
Our aims were: (i) to identify all reports of randomized controlled trials (RCTs) in the International Journal of Eating Disorders, (ii) to assess the number of these that were available in EMBASE and PsycLIT, and (iii) to investigate the precision of search strategies, designed for 100% sensitivity, for each of the above databases. The International Journal of Eating Disorders was handsearched for reports of RCTs. The 40 reports identified were then sought in EMBASE and PsycLIT. These records were assessed to identify methodological words/phrases which could be used to develop search strategies capable of identifying all reports of RCTs in the Journal. The precision of these searches was calculated. EMBASE contained 35 (88%) trials, and PsycLIT only 27 (68%). The 100% sensitive EMBASE strategy, designed to find all of the 35 trials, using methodological indexing text terms, identified 391 reports, and the 100% sensitive PsycLIT strategy identified 289 reports. The precision, therefore, of both searches was poor. Search strategies designed for high sensitivity resulted in very poor precision. A significant proportion of reports of RCTs were not indexed in PsycLIT.
in 2022. Novel interventions such as neurosurgical and neuromodulatory treatments were discussed, as evidence continues to mount around their potential utility in treating eating disorders, in particular namely anorexia nervosa. Important pragmatic and theoretical developments around feeding and refeeding approaches emerged, and are also discussed. In this review, we carefully review evidence alluding to the potential efficacy of exercise in partially ameliorating binge eating disorder symptomatology, while examining broader evidence underscoring the importance of therapeutically ameliorating compulsive exercise in anorexia nervosa and bulimia nervosa. In addition, we overview evidence relating to the risk and sequelae associated with premature discharge from intensive eating disorder treatment, as well as the efficacy of CBT versus group therapy-based maintenance treatments. Finally, important developments around the use of open versus blind weighing in treatment are assessed. Overall, the articles published in Eating Disorders: The Journal of Treatment & Prevention in 2022 evidence the promise of treatment advances in the field and requires further work to address the development of efficacious treatments to achieve greater outcomes for those with eating disorders.
BACKGROUND: Risk factors represent a range of complex variables associated with the onset, development, and course of eating disorders. Understanding these risk factors is vital for the refinement of aetiological models, which may inform the development of targeted, evidence-based prevention, early intervention, and treatment programs. This Rapid Review aimed to identify and summarise research studies conducted within the last 12 years, focusing on risk factors associated with eating disorders. METHODS: The current review forms part of a series of Rapid Reviews to be published in a special issue in the Journal of Eating Disorders, funded by the Australian Government to inform the development of the National Eating Disorder Research and Translation Strategy 2021-2031. Three databases were searched for studies published between 2009 and 2021, published in English, and comprising high-level evidence studies (meta-analyses, systematic reviews, moderately sized randomised controlled studies, moderately sized controlled-cohort studies, or population studies). Data pertaining to risk factors for eating disorders were synthesised and outlined in the current paper. RESULTS: A total of 284 studies were included. The findings were divided into nine main categories: (1) genetics, (2) gastrointestinal microbiota and autoimmune reactions, (3) childhood and early adolescent exposures, (4) personality traits and comorbid mental health conditions, (5) gender, (6) socio-economic status, (7) ethnic minority, (8) body image and social influence, and (9) elite sports. A substantial amount of research exists supporting the role of inherited genetic risk in the development of eating disorders, with biological risk factors, such as the role of gut microbiota in dysregulation of appetite, an area of emerging evidence. Abuse, trauma and childhood obesity are strongly linked to eating disorders, however less conclusive evidence exists regarding developmental factors such as role of in-utero exposure to hormones. Comorbidities between eating disorders and mental health disorders, including personality and mood disorders, have been found to increase the severity of eating disorder symptomatology. Higher education attainment, body image-related factors, and use of appearance-focused social media are also associated with increased risk of eating disorder symptoms. CONCLUSION: Eating disorders are associated with multiple risk factors. An extensive amount of research has been conducted in the field; however, further studies are required to assess the causal nature of the risk factors identified in the current review. This will assist in understanding the sequelae of eating disorder development and in turn allow for enhancement of existing interventions and ultimately improved outcomes for individuals.
The COVID-19 pandemic has profoundly disrupted people's daily life and contributed to adverse health and mental health outcomes. People with pre-existing mental health conditions are particularly likely to experience symptom exacerbation. Complementing the adverse impacts of the pandemic are eating disorder specific risk factors for worsening of eating disorder symptoms and/or impeding treatment progress and recovery. For this joint Virtual Issue, we selected 15 articles that have been published in two leading journals in the field of eating disorders (International Journal of Eating Disorders and Journal of Eating Disorders) to highlight studies that offer information about individuals' lived experience with an eating disorder during the COVID-19 pandemic. In these studies, most participants reported worsening of eating disorder symptoms which they attributed to challenges arising from changes in daily routines including eating and exercise related habits, increased stress, and diminished social contacts. These research findings reported a mixed picture about patients' perceptions of the ease of the transition to virtual delivery of treatment and the quality of care they received during the pandemic. Qualitative studies suggested strategies for supporting people with eating disorders during pandemic conditions, with some of these holding promise for improving care for individuals who experience an eating disorder.
This paper describes the participation of the SINAI team in the eRisk@CLEF lab. Specifically, two of the proposed tasks have been addressed: i) Task 1 on the early detection of signs of pathological gambling, and ii) Task 3 on measuring the severity of the signs of eating disorders. The approach presented in Task 1 is based on the use of sentence embeddings from Transformers with features related to volumetry, lexical diversity, complexity metrics, and emotion-related scores, while the approach for Task 3 is based on text similarity estimation using contextualized word embeddings from Transformers. In Task 1, our team has been ranked in second position, with an F1 score of 0.808, out of 41 participant submissions. In Task 3, our team also placed second out of a total of 3 participating teams.
Generative AI systems may pose serious risks to individuals vulnerable to eating disorders. Existing safeguards tend to overlook subtle but clinically significant cues, leaving many risks unaddressed. To better understand the nature of these risks, we conducted semi-structured interviews with 15 clinicians, researchers, and advocates with expertise in eating disorders. Using abductive qualitative analysis, we developed an expert-guided taxonomy of generative AI risks across seven categories: (1) providing generalized health advice; (2) encouraging disordered behaviors; (3) supporting symptom concealment; (4) creating thinspiration; (5) reinforcing negative self-beliefs; (6) promoting excessive focus on the body; and (7) perpetuating narrow views about eating disorders. Our results demonstrate how certain user interactions with generative AI systems intersect with clinical features of eating disorders in ways that may intensify risk. We discuss implications of our work, including approaches for risk assessment, safeguard design, and participatory evaluation practices with domain experts.
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for categorizing tweets related to eating disorders. Methods: Over three months, we collected tweets about eating disorders. A 2,000-tweet subset was labeled for: (1) being written by individuals with eating disorders, (2) promoting eating disorders, (3) informativeness, and (4) scientific content. Both traditional machine learning and deep learning models were employed for classification, assessing accuracy, F1 score, and computational time. Results: From 1,058,957 collected tweets, transformer-based bidirectional encoder representations achieved the highest F1 scores (71.1%-86.4%) across all four categories. Conclusions: Transformer-based models outperform traditional techniques in classifying eating disorder-related tweets, though they require more computational resources.
We compare the network of aggregated journal-journal citation relations provided by the Journal Citation Reports (JCR) 2012 of the Science and Social Science Citation Indexes (SCI and SSCI) with similar data based on Scopus 2012. First, global maps were developed for the two sets separately; sets of documents can then be compared using overlays to both maps. Using fuzzy-string matching and ISSN numbers, we were able to match 10,524 journal names between the two sets; that is, 96.4% of the 10,936 journals contained in JCR or 51.2% of the 20,554 journals covered by Scopus. Network analysis was then pursued on the set of journals shared between the two databases and the two sets of unique journals. Citations among the shared journals are more comprehensively covered in JCR than Scopus, so the network in JCR is denser and more connected than in Scopus. The ranking of shared journals in terms of indegree (that is, numbers of citing journals) or total citations is similar in both databases overall (Spearman's \r{ho} > 0.97), but some individual journals rank very differently. Journals that are unique to Scopus seem to be less important--they are citing shared journals rather than bein
Past research has shown the benefits of food journaling in promoting mindful eating and healthier food choices. However, the links between journaling and healthy eating have not been thoroughly examined. Beyond caloric restriction, do journalers consistently and sufficiently consume healthful diets? How different are their eating habits compared to those of average consumers who tend to be less conscious about health? In this study, we analyze the healthy eating behaviors of active food journalers using data from MyFitnessPal. Surprisingly, our findings show that food journalers do not eat as healthily as they should despite their proclivity to health eating and their food choices resemble those of the general populace. Furthermore, we find that the journaling duration is only a marginal determinant of healthy eating outcomes and sociodemographic factors, such as gender and regions of residence, are much more predictive of healthy food choices.
Rankings of scholarly journals based on citation data are often met with skepticism by the scientific community. Part of the skepticism is due to disparity between the common perception of journals' prestige and their ranking based on citation counts. A more serious concern is the inappropriate use of journal rankings to evaluate the scientific influence of authors. This paper focuses on analysis of the table of cross-citations among a selection of Statistics journals. Data are collected from the Web of Science database published by Thomson Reuters. Our results suggest that modelling the exchange of citations between journals is useful to highlight the most prestigious journals, but also that journal citation data are characterized by considerable heterogeneity, which needs to be properly summarized. Inferential conclusions require care in order to avoid potential over-interpretation of insignificant differences between journal ratings. Comparison with published ratings of institutions from the UK's Research Assessment Exercise shows strong correlation at aggregate level between assessed research quality and journal citation `export scores' within the discipline of Statistics.
Social networks are vital for information sharing, especially in the health sector for discussing diseases and treatments. These platforms, however, often feature posts as brief texts, posing challenges for Artificial Intelligence (AI) in understanding context. We introduce a novel hybrid approach combining community-maintained knowledge graphs (like Wikidata) with deep learning to enhance the categorization of social media posts. This method uses advanced entity recognizers and linkers (like Falcon 2.0) to connect short post entities to knowledge graphs. Knowledge graph embeddings (KGEs) and contextualized word embeddings (like BERT) are then employed to create rich, context-based representations of these posts. Our focus is on the health domain, particularly in identifying posts related to eating disorders (e.g., anorexia, bulimia) to aid healthcare providers in early diagnosis. We tested our approach on a dataset of 2,000 tweets about eating disorders, finding that merging word embeddings with knowledge graph information enhances the predictive models' reliability. This methodology aims to assist health experts in spotting patterns indicative of mental disorders, thereby improvi
An exploratory, descriptive analysis is presented of the national orientation of scientific, scholarly journals as reflected in the affiliations of publishing or citing authors. It calculates for journals covered in Scopus an Index of National Orientation (INO), and analyses the distribution of INO values across disciplines and countries, and the correlation between INO values and journal impact factors. The study did not find solid evidence that journal impact factors are good measures of journal internationality in terms of the geographical distribution of publishing or citing authors, as the relationship between a journal's national orientation and its citation impact is found to be inverse U-shaped. In addition, journals publishing in English are not necessarily internationally oriented in terms of the affiliations of publishing or citing authors; in social sciences and humanities also USA has their nationally oriented literatures. The paper examines the extent to which nationally oriented journals entering Scopus in earlier years, have become in recent years more international. It is found that in the study set about 40 per cent of such journals does reveal traces of internati