Natasya Nur Mohd Nasir, Ku Anis Shazura Indera Putera, Nur Jihan Noris, Zalina Libasin, Muniamal Krishnan, Nor Fauziah Salaton, Kah Yee Lum, Nur Nadia Renu Abdullah, Intan Syafinaz Saimy
{"title":"Overcrowding Indicators in Emergency Departments Across Countries: Scoping Review.","authors":"Natasya Nur Mohd Nasir, Ku Anis Shazura Indera Putera, Nur Jihan Noris, Zalina Libasin, Muniamal Krishnan, Nor Fauziah Salaton, Kah Yee Lum, Nur Nadia Renu Abdullah, Intan Syafinaz Saimy","doi":"10.2196/78073","DOIUrl":"10.2196/78073","url":null,"abstract":"<p><strong>Background: </strong>Emergency department (ED) overcrowding is a persistent global health issue associated with adverse patient outcomes, diminished staff performance, and compromised health-system efficiency. Despite widespread recognition of the problem, there is no universally accepted approach to monitoring ED overcrowding. The use of disparate, nonstandardized indicators hampers cross-country comparison and the development of effective policies. A comprehensive synthesis of indicators currently used is essential to guide the adoption of robust, evidence-based metrics across diverse health care settings.</p><p><strong>Objective: </strong>This study aims to identify, consolidate, and categorize indicators that have been used internationally to assess ED overcrowding and to highlight gaps in their use.</p><p><strong>Methods: </strong>A comprehensive scoping review was conducted from October to November 2023 using four databases: PubMed, Scopus, Emerald Insight, and Google Scholar. Studies were systematically searched using predefined eligibility criteria. Level 1 and 2 screening were independently conducted by 9 researchers (NNMN, KASIP, NFS, NJN, MK, ZL, NNRA, LKY, and ISS) to minimize bias and enhance reliability, and discrepancies were resolved by consensus. A third reviewer (ISS) performed a full-text review, synthesis, and descriptive analysis. Indicators were categorized into input, throughput, and output. Input refers to factors driving ED demand, throughput encompasses internal ED processes such as triage, diagnostics, and treatment, and output addresses challenges in transferring patients to inpatient beds, such as bed shortages or delays. Descriptive analyses were then used to consolidate these indicators and to establish their relative importance. They were ranked based on frequency of reporting across diverse countries and health care settings.</p><p><strong>Results: </strong>Out of 1347 articles screened, 117 articles were included in the study. A total of 307 indicators were retrieved and then consolidated into 26 distinct indicators. The majority of indicators were classified within the throughput domain (209/307, 68%), followed by the output domain (62/307, 20%) and the input domain (36/307, 12%). The most common throughput indicator, which was frequently reported, was ED length of stay, cited 87 times, followed by left without being seen and waiting time, each reported 30 times. Length of stay consistently emerged as a primary marker of systemic bottlenecks and operational inefficiencies across health care systems.</p><p><strong>Conclusions: </strong>This review indicates that throughput measures, particularly length of stay, dominate current approaches to assessing ED overcrowding, whereas input and output indicators remain comparatively underrepresented. By consolidating 26 distinct indicators from 117 studies, this study provides a comprehensive evidence base to support the standardization of metrics for monitorin","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e78073"},"PeriodicalIF":1.9,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13143202/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147846039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Treating Behavioral Addictions With Augmented Reality and Virtual Reality: Scoping Review.","authors":"Felicia Xin Rou Chiew, Genevieve Huimin Li, Victrine Tseung, Jing Shi","doi":"10.2196/77011","DOIUrl":"https://doi.org/10.2196/77011","url":null,"abstract":"<p><strong>Background: </strong>The use of augmented reality (AR) and virtual reality (VR) to address addictive behaviors such as substance use disorders and gambling disorders has been growing. However, little has been done to explore the use of AR and VR in the treatment of other behavioral addictions.</p><p><strong>Objective: </strong>This scoping review aims to provide an overview of existing literature on AR and VR interventions for behavioral addictions. Specifically, the research questions are as follows: (1) What behavioral addictions or behavioral harms are being treated using AR and/or VR? (2) What AR and/or VR treatment interventions are being used to treat these behavioral addictions?</p><p><strong>Methods: </strong>This scoping review was conducted based on the framework first proposed by Arksey and O'Malley, later refined by Levac et al, and further outlined in the Joanna Briggs Institute (JBI) Manual for Evidence. The literature was searched in the following databases: CINAHL, PsycArticles, PsycInfo, PubMed, and Web of Science, with Google advanced search complementing the search on Feb 22, 2023. Studies were screened by 2 independent reviewers based on inclusion criteria (all ages; any behavioral addiction, problematic behavior, or behavioral harm; AR or VR treatments and interventions) and exclusion criteria (pornography, sexual, and paraphilic disorders). Discrepancies were resolved by third and fourth reviewers. As this study is a scoping review, risk of bias was not assessed. Data were extracted and presented in tabular form as well as through conceptual analysis as a narrative summary.</p><p><strong>Results: </strong>A total of 9 studies were included in this review, 4 studies on video gaming and 5 studies on gambling behaviors. Participants' age ranged from 12 to 65 years. Only the use of VR was identified. VR was used as a platform for cue exposure therapy and skills training in both gaming and gambling disorders. VR therapy was effective alone or in combination with other treatments and was comparable to traditional interventions. No adverse effect was reported in the studies.</p><p><strong>Conclusions: </strong>VR is efficacious in treating behavioral addictions and can replace or be used in conjunction with traditional methods. Future directions include using VR with other psychotherapy or relapse prevention, applying VR to treat other addictions, and investigating harmful side effects of VR use. The frequency and duration of sessions can also be optimized. A limitation of this study is that there may be other documents beyond those published and searched in gray literature that could not be included in this review due to time and resource restrictions. The use of AR in the treatment of behavioral addictions did not yield any results in this review. However, VR application in behavioral addiction is promising, potentially efficacious, and capable of multiple applications.</p><p><strong>International registered report ide","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e77011"},"PeriodicalIF":1.9,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147823589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah Forberger, Lucia A Reisch, Pieter Van Gorp, Christoph Stahl, Lara Christianson, Jihan Halimi, Karina Karolina De Santis, Chungwan Lo, Cassandra A Omane, Alejandra Loyola-Leyva, Laurent Malisoux, Tiziana de-Magistris, Torsten Bohn
{"title":"Mapping Digital Nudges and Recommender Systems for Obesity Prevention: Scoping Review.","authors":"Sarah Forberger, Lucia A Reisch, Pieter Van Gorp, Christoph Stahl, Lara Christianson, Jihan Halimi, Karina Karolina De Santis, Chungwan Lo, Cassandra A Omane, Alejandra Loyola-Leyva, Laurent Malisoux, Tiziana de-Magistris, Torsten Bohn","doi":"10.2196/73151","DOIUrl":"https://doi.org/10.2196/73151","url":null,"abstract":"<p><strong>Background: </strong>Recommender systems are pivotal in organizing information to enhance noticeability, reduce overload, and streamline decision-making. They can be even more effective if combined with digital nudges. Digital nudging is a subtle approach that combines design, information, and interaction elements to create a choice architecture that can guide user behavior in digital environments. While promising in many fields, there is a notable gap in health promotion, particularly because digital nudges and recommender systems can encourage and support sustained healthier choices in nutrition, physical activity (PA), and sedentary behavior reduction to prevent overweight and obesity.</p><p><strong>Objective: </strong>This scoping review addresses these gaps by exploring how digital nudges and recommender systems are used in obesity prevention.</p><p><strong>Methods: </strong>We prospectively published the scoping review protocol and adhered to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Eligibility was defined using the PCC (Population, Concept, Context) framework. We searched 7 bibliographic databases (MEDLINE and PsycINFO via Ovid, Web of Science, CINAHL via EBSCO, Scopus, ACM Digital Library, and IEEE Xplore) up to October 2023. Following a 2-stage screening by independent reviewers, we selected 68 articles that included 94 user evaluations.</p><p><strong>Results: </strong>Most articles (36/68, 53%) report on recommender systems focused on nutrition, with fewer (16/68, 23%) aiming to promote PA. Most studies on digital nudges (11/68, 16%) targeted nutrition-related nudges for shopping and meal selection (8/68, 2%). Articles address PA and sedentary behavior less frequently (3/68, 4%). Three out of 68 (4%) articles report on recommender systems in combination with games, and 2 out of 68 (3%) articles report on recommender systems and digital nudges. Approaches to item retrieval vary widely, with 31 out of 68 (46%) articles failing to describe their methods. In the scoping review, we found a discrepancy between the target group for which the system was developed and the group with which the evaluation was conducted. Sixty-eight evaluations report positive results, while 26 studies report mixed, negative, or no-difference results.</p><p><strong>Conclusions: </strong>Integrating digital nudges and recommender systems might hold potential in overweight and obesity prevention by subtly encouraging healthier lifestyle choices. However, the heterogeneity in study designs, outcome measures, and reporting quality limits the comparability of findings and makes it difficult to draw robust conclusions about effectiveness. Future work should include detailed definitions, mechanism descriptions, broader geographic representation, and rigorous intervention testing and user evaluations to fully leverage these systems for improved health outcomes and to support sus","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e73151"},"PeriodicalIF":1.9,"publicationDate":"2026-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13089671/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147718811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlota de Miquel, Christina M Van der Feltz-Cornelis, Leona Hakkaart-van Roijen, Dorota Merecz-Kot, Marjo Sinokki, Jordi Rodeiro-Boliart, Jennifer Sweetman, Kaja Staszewska, Ellen Vorstenbosch, Daniele Porricelli, Stijn Peeters, José Luis Ayuso-Mateos, Luis Salvador-Carulla, Sue Lukersmith, Oriol Borrega, Carla Sabariego, Christophe Vanroelen, Alberto Raggi, Diletta Porcheddu, Josep Maria Haro, Beatriz Olaya
{"title":"Effectiveness and Lessons Learned From an Occupational E-Mental Health Intervention for Enhancing Workplace Mental Health: The EMPOWER Cluster Randomized Controlled Trial.","authors":"Carlota de Miquel, Christina M Van der Feltz-Cornelis, Leona Hakkaart-van Roijen, Dorota Merecz-Kot, Marjo Sinokki, Jordi Rodeiro-Boliart, Jennifer Sweetman, Kaja Staszewska, Ellen Vorstenbosch, Daniele Porricelli, Stijn Peeters, José Luis Ayuso-Mateos, Luis Salvador-Carulla, Sue Lukersmith, Oriol Borrega, Carla Sabariego, Christophe Vanroelen, Alberto Raggi, Diletta Porcheddu, Josep Maria Haro, Beatriz Olaya","doi":"10.2196/66041","DOIUrl":"10.2196/66041","url":null,"abstract":"<p><strong>Background: </strong>Occupational e-mental health (OeMH) interventions emerged as a promising solution to prevent common mental health problems and enhance well-being and work performance. However, they must be subject to robust and reliable assessments for effectiveness.</p><p><strong>Methods: </strong>A multimodal e-mental health intervention (EMPOWER [The European Platform to Promote Wellbeing and Health in the Workplace]) delivered over 7 weeks was developed and evaluated through a cluster randomized controlled trial conducted mainly in small to medium enterprises and public agencies from Spain (n=127), Finland (n=141), Poland (n=51), and the United Kingdom (n=389) between February 2022 and May 2024 (recruitment finalized in September 2023 and follow-up completed in May 2024). Inclusion criteria were being 18+ years, having a smartphone, sufficient language knowledge, and agreeing to participate. Clusters (companies or departments) were randomized to intervention or control conditions. The primary outcome was presenteeism, and secondary outcomes were depression and anxiety symptoms, etc, all measured at baseline, postintervention, and in 21 weeks after program completion. The analysis was performed as an intention-to-treat approach using adjusted linear mixed models and as per protocol analysis comparing outcomes by level of engagement.</p><p><strong>Results: </strong>A total of 347 participants were allocated to the intervention group and 361 to the control group. In the overall sample, the intention-to-treat analysis detected no statistically significant short-term (7 wk) or long-term (21 wk postintervention) effects of the EMPOWER intervention on presenteeism (postintervention β=2.186; 95% CI -2.424 to 6.796, follow-up β=1.294; 95% CI -3.608 to 6.396) and on other secondary outcomes such as depressive symptoms (postintervention β=-0.052, 95% CI -1.02 to 0.905, follow-up β=0.202, 95% CI -0.840 to 1.245), anxiety symptoms (postintervention β=-0.328, 95% CI -1.168 to 0.512, follow-up β=0.375, 95% CI -0.537 to 1.287), or general stress level (postintervention β=0.385, 95% CI -0.195 to 0.965, follow-up β=0.123, 95% CI -0.502 to 0.749). Subgroup analyses yielded several notable results, with significant differences between age groups, gender, and psychological symptoms at baseline. The per-protocol analysis showed no significant differences between participants who actively engaged with the intervention (119/347, 34%) and those who did not. Implementation challenges were related to technical problems, the complexity of this study's design, external factors, co-design strategy, and organizational barriers, which led to a smaller sample size, high attrition rates, and low adherence.</p><p><strong>Conclusions: </strong>Our study provides evidence from a large cluster randomized controlled trial evaluating an OeMH intervention implemented in workplace settings, including small to medium enterprises and public agencies in Europe. Although ","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e66041"},"PeriodicalIF":1.9,"publicationDate":"2026-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13081584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147693527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Association Between Depressive Symptoms and Incidence of Stroke in a Population With Cardiovascular-Kidney-Metabolic Syndrome Stages 0 to 3: Nationwide Prospective Cohort Study.","authors":"Yunjie Li, Lin Wang, Lujing Gao","doi":"10.2196/80988","DOIUrl":"10.2196/80988","url":null,"abstract":"<p><strong>Background: </strong>The association between depressive symptoms and cardiovascular diseases is well established. However, their impact on the incidence of stroke in individuals with cardiovascular-kidney-metabolic (CKM) syndrome remains unclear.</p><p><strong>Objective: </strong>This study aims to investigate the impact of depressive symptoms at different stages of CKM syndrome on the incidence of new-onset stroke.</p><p><strong>Methods: </strong>This study used data from the China Health and Retirement Longitudinal Study. Depressive symptoms at baseline were assessed using the Center for Epidemiologic Studies Depression Scale, with stroke incidence determined through standardized follow-up questionnaires. Cox regression and restricted cubic spline regression were used to evaluate the association between depressive symptoms and stroke risk.</p><p><strong>Results: </strong>The analysis included 9593 participants (n=5180, 54.92% male; mean age of 60.89, SD 9.39 y), classified into CKM stages 0 to 3. Fully adjusted Cox regression showed that each 1-point increase in depressive score was associated with a 3% higher stroke risk (hazard ratio 1.03, 95% CI 1.02-1.04; P<.001). Restricted cubic spline regression confirmed a significant positive linear relationship between depressive symptoms and stroke incidence (P<.001).</p><p><strong>Conclusions: </strong>This cohort study demonstrates a positive linear association between depressive symptoms and increased stroke incidence in individuals with CKM syndrome (stages 0-3). These findings highlight the importance of emotional health management, suggesting that effective depression treatment may help reduce stroke risk through inflammation reduction and lifestyle improvements.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e80988"},"PeriodicalIF":1.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13043078/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147596162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen B Lee, Alexis B Carter, Muhammad Hamis Haider, Seok-Bum Ko
{"title":"An Introduction to AI for Clinicians: Tutorial.","authors":"Stephen B Lee, Alexis B Carter, Muhammad Hamis Haider, Seok-Bum Ko","doi":"10.2196/85266","DOIUrl":"10.2196/85266","url":null,"abstract":"<p><strong>Unlabelled: </strong>Artificial intelligence (AI) is already fundamentally changing society, with medicine being no exception. AI will impact how we practice, how hospitals operate, and even the practice of medicine itself. The use of AI-based products has already begun, with examples including AI scribes and large language models such as ChatGPT. Work is ongoing to produce models that have specific functions within medicine, such as kidney injury prediction. However, transformative foundational work, such as AlphaFold (for protein structure prediction), also promises to completely change the way we approach medicine. Therefore, clinicians must develop a clear understanding of AI, not as an optional skill, but as a core competency of modern medical practice. This paper serves as a tutorial to guide medical professionals through the basic principles of AI. It will teach clinicians how to build a mental scaffold to understand and springboard into AI. The core parts of this paper are organized in steps, with additional relevant topics addressed in modules at the end of the paper. The core steps are meant to be read sequentially. To prepare the reader for the rest of the paper, this tutorial will first introduce what AI is and then cover some basic definitions needed to understand other concepts. The reader will then be ready to understand what deep learning is and the difference between supervised and unsupervised learning. Finally, the reader will go through how deep learning models learn. Separate modules on safety and clinical applications are also included. This tutorial is relevant to clinicians at all levels but may be particularly useful for practicing clinicians who are encountering AI tools integrated into their practices without previous formal education in the field. Users of this tutorial can refer to specific sections or read the entire paper.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e85266"},"PeriodicalIF":1.9,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13035078/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147583021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Lifetime Dance Exposure Questionnaire for Professional Training: Survey Development and Reliability Study.","authors":"Aston K McCullough, Kai Yi Kaye Han","doi":"10.2196/75632","DOIUrl":"10.2196/75632","url":null,"abstract":"<p><strong>Background: </strong>Dance is a complex mode of physical activity (PA) behavior and an art form, and one's participation in dance may occur across discrete contexts throughout the lifespan. To further advance the study of lifetime participation in dance behavior, reliable questionnaires are needed.</p><p><strong>Objective: </strong>This study aimed to develop and test the reliability of a self-report, online questionnaire for surveilling lifetime participation in professionally led dance classes among adults.</p><p><strong>Methods: </strong>Community-dwelling adults (N=373) completed the Lifetime Dance Exposure Questionnaire for Professional Training (LDEQ-T) at baseline (T1), and 150 adults repeated the LDEQ-T after an 8-week delay (T2). Test-retest reliability for self-reported dance training frequency, duration, and PA intensity was analyzed for the LDEQ-T between T1 and T2. Reliability for the LDEQ-T item on total years of professional dance training was assessed using intraclass correlation coefficients (ICCs; 2-way, random effects); linearly weighted kappa (𝜿w) was used for ordinal variables on dance class duration, intensity, and frequency; an unweighted kappa (𝜿) statistic was used to test the reliability of 3 dance training exposure groups (no or low, homogenous, or variable lifetime exposure to professional dance training). The significance level was set a priori with α=.05.</p><p><strong>Results: </strong>Adults reported having no or low (n=92), homogenous (n=196), or variable (n=85) lifetime exposures to professional dance classes at T1. Among adults who self-reported homogenous exposures to dance training throughout the lifespan, years of dance training were found to be reliable across all age periods (ICC range 0.83-0.94); as were weeks/month, months/year, and hours/week of dance training (𝜿w range 0.35-0.61); but not any measure of PA intensity. Among adults who self-reported variable exposures to dance training, years of dance training across all age periods (ICC=0.70-0.96); classes/week, weeks/month, months/year, and hours/week (𝜿w range 0.32-0.56); and some estimates of PA intensity (𝜿w range 0.30-0.41) were found to be sufficiently reliable.</p><p><strong>Conclusions: </strong>The LDEQ-T appears to be a reliable instrument for quantifying lifetime participation in professional dance training among adults with self-reported low, homogenous, or variable exposures to professional dance classes throughout the lifespan. Among adults, researchers may surveil lifetime exposure to dance training in early childhood, childhood, adolescence, young adulthood, and middle or older adulthood using the LDEQ-T.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e75632"},"PeriodicalIF":1.9,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13026436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147534556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mapping the Global Surge in Postoperative Sleep Research From 2014 to 2024: Bibliometric Analysis.","authors":"Xin Wei, Lijuan Fu, Wencai Jiang, Xianjie Zhang, Rui Zhou","doi":"10.2196/86086","DOIUrl":"10.2196/86086","url":null,"abstract":"<p><strong>Background: </strong>Postoperative sleep is closely associated with recovery among patients undergoing surgery.</p><p><strong>Objective: </strong>This study aimed to analyze the research status and developmental trends in postoperative sleep between 2014 and 2024.</p><p><strong>Methods: </strong>Publications were retrieved from the Web of Science Core Collection. Microsoft Excel and VOSviewer were used to analyze the papers in terms of publication trends, countries, institutions, authors, journals, and keywords.</p><p><strong>Results: </strong>A total of 964 papers were obtained for the bibliometric analysis. The number of publications on this topic has increased gradually over the last 10 years. Zhu Junchao was the most prolific author in the field, and Chung Frances had the most citations. China had the most publications, followed by the United States. Scientific institutions in China, such as China Medical University and Capital Medical University, have led the way in terms of publication numbers. A total of 40 journals have published at least 5 papers. BMC Anesthesiology, with 19 publications, ranked first in publication count. The papers published in the British Journal of Anaesthesia, Journal of Clinical Anesthesia, Anesthesia and Analgesia, Journal of Pain, and Journal of Sleep Medicine had higher citation counts on average. The high-frequency keywords were \"sleep quality,\" \"postoperative pain,\" \"quality of life,\" and \"surgery,\" while \"lung cancer,\" \"enhanced recovery after surgery,\" \"breast cancer,\" and \"dexamethasone\" emerged as new topics in this area.</p><p><strong>Conclusions: </strong>There has emerged a large body of literature on postoperative sleep over the past 10 years. Authors and organizations from China are leading contributors, followed by those from the United States. Anesthesiology is a critical discipline in this field. Postoperative pain is closely related to postoperative sleep and has become a major research focus. Recent studies have mainly focused on lung cancer and breast cancer surgeries. Enhanced recovery after surgery has become an emerging keyword.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e86086"},"PeriodicalIF":1.9,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13068188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147655353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prevalence and Associated Factors of Excessive Dietary Supplement Use Among Japanese Adults: Cross-Sectional Study.","authors":"Minami Sugimoto, Keiko Asakura, Nana Shinozaki, Kentaro Murakami","doi":"10.2196/82623","DOIUrl":"10.2196/82623","url":null,"abstract":"<p><strong>Background: </strong>The use of dietary supplements (DSs) can lead to an excessive intake of certain nutrients, posing potential health risks. However, studies are scarce on whether DS users adhere to recommended doses provided by the manufacturer and what factors are associated with overconsumption of DS.</p><p><strong>Objective: </strong>By leveraging purchase history data to estimate DS use precisely, this study aimed to investigate the factors associated with DS consumption exceeding manufacturer-recommended doses and examine the prevalence of excess nutrient intake among DS users.</p><p><strong>Methods: </strong>An online survey was conducted from November to December 2024 among 2002 adults (aged 18-74 years) with a history of buying one of the 25 major DS products and who had used it in the previous month or regularly. Self-reported daily DS consumption was assessed using a questionnaire and compared to the manufacturer-recommended doses indicated in the package. Using multivariate logistic regression analysis, the associations between DS consumption exceeding the manufacturer-recommended doses and sociodemographic factors were examined.</p><p><strong>Results: </strong>The prevalence of DS users exceeding tolerable upper intake levels (ULs), defined according to the Dietary Reference Intakes for Japanese, was calculated based on vitamin and mineral intake from DS only. Consequently, 371 (18.5%) of the 2002 participants consumed DS above the manufacturer-recommended dose. Consumption of DS above the recommended dose was associated with middle-aged, part-time or full-time employment, use of tablet-form DS, especially single water-soluble vitamin tablets, use of DS for 6 months or more, and intentional consumption above the recommended dose. For 1705 individuals consuming DS with UL nutrients, 17.4% (n=297) exceeded the manufacturer-recommended dose. Of these, 61.9% (184/297) surpassed UL by ≥1 nutrient.</p><p><strong>Conclusions: </strong>Middle-aged, part-time or full-time jobs, using tablet-form DS, and using DS for 6 months or more were associated with DS consumption exceeding the manufacturer-recommended dose, which may lead to excessive nutrient intake.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e82623"},"PeriodicalIF":1.9,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13002161/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147488417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information and Communication Technologies for Chronic Disease Self-Management in Adults Aged 65 Years and Older: Scoping Review.","authors":"Paul Murdock, Yiyi Wu, Charles R Senteio","doi":"10.2196/60542","DOIUrl":"10.2196/60542","url":null,"abstract":"<p><strong>Background: </strong>The increasing number of older adults living with chronic conditions has led to rapid growth in information and communication technologies (ICTs) designed to support chronic disease self-management. Although many technologies target behaviors such as medication adherence, physical activity, dietary management, and follow-up care, the breadth, characteristics, and design considerations of these tools for adults aged 65 years and older have not been comprehensively reported.</p><p><strong>Objective: </strong>This scoping review aims to systematically map the existing literature describing ICTs developed to support chronic disease self-management among adults aged 65 years and older. Specifically, the review seeks to (1) identify the types of ICTs available; (2) characterize the self-management behaviors they target; and (3) examine the extent of older adults' involvement in the design, adaptation, or evaluation of these technologies.</p><p><strong>Methods: </strong>This review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Seven databases (PubMed, CINAHL, Web of Science, Cochrane Library, Compendex, IEEE Xplore, and Computers & Applied Sciences Complete) were searched, with all searches completed on December 15, 2024. Inclusion criteria were peer-reviewed studies published in English between 2007 and 2025 that (1) included adults aged ≥65 years; (2) addressed one or more chronic diseases; and (3) evaluated, described, or tested an ICT intended to support at least 1 chronic disease self-management behavior. Two reviewers independently screened all titles and abstracts and full texts; disagreements were resolved by a third reviewer. Data were charted using a standardized extraction template and synthesized narratively by technology type and self-management domain.</p><p><strong>Results: </strong>Nineteen studies met the inclusion criteria. Technologies were grouped into 4 broad categories: mobile apps, online platforms, wearable or sensor-based tools, and smart home or device-integrated systems. Physical activity and medication management were the most targeted self-management behaviors, whereas follow-up appointment adherence and dietary behaviors were less frequently addressed. Only a small number of studies explicitly involved older adults in the design or development process, and such involvement was often limited to usability testing rather than participatory co-design.</p><p><strong>Conclusions: </strong>The current evidence base is fragmented, with substantial variability in technology types, targeted behaviors, and reported outcomes. Significant gaps remain regarding the participatory design of ICTs with older adults and the development of technologies that address multiple self-management needs simultaneously. Future ICT development should intentionally incorporate older adults and caregivers throughout the design cycle and","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"15 ","pages":"e60542"},"PeriodicalIF":1.9,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13002154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147488425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}