Background: There is a tendency for older adults to become more physically inactive, especially older women. Physical inactivity has been exacerbated since the COVID-19 pandemic. Lockdowns and information-based preventive measures for COVID-19 increased the number of short-form video app users and short-form video exposure, including content exposure and the duration of exposure, which has demonstrated important effects on youths’ health and health-related behaviors. Despite more older adults viewing short-form videos, less is known about the status of their short-form video exposure or the impacts of the exposure on their physical activity. Objective: This study aims to describe physical activity–related content exposure among older adults and to quantify its impacts along with the duration of short-form video exposure on step counts, low-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). Methods: We analyzed a subsample (N=476) of older women who used smartphones and installed short-form video apps, using the baseline data collected from an ongoing cohort study named the Physical Activity and Health in Older Women Study (PAHIOWS) launched from March to June 2021 in Yantai, Shandong Province, China. The information on short-form video exposure was collected by unstructured questions; physical activity–related content exposure was finalized by professionals using the Q-methodology, and the duration of exposure was transformed into hours per day. Step counts, LPA, and MVPA were assessed with ActiGraph wGT3X-BT accelerometers. Multiple subjective and objective covariates were assessed. Linear regression models were used to test the effects of short-form video exposure on step counts, LPA, and MVPA. MVPA was dichotomized into less than 150 minutes per week and 150 minutes or more per week, and the binary logistic regression model was run to test the effects of short-form video exposure on the achievement of spending 150 minutes or more on MVPA. Results: Of 476 older women (mean age 64.63, SD 2.90 years), 23.7% (113/476) were exposed to physical activity–related short-form videos, and their daily exposure to short-form videos was 1.5 hours. Physical activity–related content exposure increased the minutes spent on MVPA by older women (B=4.14, 95% CI 0.13-8.15); the longer duration of short-form video exposure was associated with a reduced step count (B=−322.58, 95% CI −500.24 to −144.92) and minutes engaged in LPA (B=−6.95, 95% CI −12.19 to −1.71) and MVPA (B=−1.56, 95% CI −2.82 to −0.29). Neither content exposure nor the duration of exposure significantly increased or decreased the odds of older women engaging in MVPA for 150 minutes or more per week. Conclusions: Short-form video exposure has both positive and negative impacts on the physical activity of older adults. Efforts are needed to develop strategies to leverage the benefits while avoiding the harms of short-form videos.

Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Self-management is critical for older adults with type 2 diabetes mellitus, but the practice of the self-management remains suboptimal. Social media has become an accessible and effective stimulus source for the public which has the potential to promote health behaviors, but its effect on self-management of older adults with type 2 diabetes mellitus remains unknown. Objective: To investigate the relationships between social media exposure, specifically time exposure and content exposure, and the self-management of older adults with type 2 diabetes mellitus. Methods: In this cross-sectional study, we enrolled 257 older adults with type 2 diabetes mellitus and who used short-form video Apps from community healthcare centers. We assessed subjective and objective time and content exposure. We transformed the text-based content exposure into the diabetes-related content exposure encompassing irrelevant, harmful, hypobeneficial and hyperbeneficial categories using Q-methodology. The self-management was assessed through a validated questionnaire. We used restricted cubic splines and linear regression models to model the relationships between time exposure and content exposure and the self-management, respectively. Results: Of 257 older adults with type 2 diabetes (median age 69 [65-72] years), 53.3% were women, the mean sum score of self-management was 35.7 (10.4). the median subjective time exposure was 120 (60-120) minutes, and 61.1% of them were exposed to hyperbeneficial content. There was an approximate L-shaped dextrorotatory relationship between time exposure and self-management, with a decline in self-management when time exposure surpassed 139.8 minutes daily. Exposure to hyperbeneficial content was positively associated with the overall self-management (B = 3.46, 95%CI 0.71 to 6.21). For participants exposure more than 139.8 minutes daily, this positive association remained robust (B = 7.27, 95%CI 1.54 to 13.00). In sub-dimensional analyses, hyperbeneficial content exposure was positively associated with general diet (B = 1.51, 95%CI 0.54 to 2.49), and blood-glucose testing (B = 1.31, 95%CI 0.25 to 2.38), respectively. Conclusions: Social media exposure had two-sided effects on self-management of older adults with type 2 diabetes mellitus. The self-management declined when the daily time spent on social media exceeded 139.8 minutes. However, exposure to hyperbeneficial content contributed to better self-management of individuals, regardless of excessive time spent on social media. It is important to explore the potential of social media in empowering the self-management of older adults with type 2 diabetes mellitus.

Background: Digital health technologies are increasingly applied in diabetes care, enabling continuous monitoring, personalized support and remote interventions. Meanwhile, artificial intelligence (AI) is enhancing the precision and effectiveness of these tools. This study aims to map global research trends and thematic developments in AI-driven digital health technologies for diabetes management and to explore their future directions. Methods: We collected data from the Web of Science Core Collection, including articles and reviews published up to July 12, 2025, using CiteSpace, VOSviewer, and Microsoft Excel to analyze countries/regions, institutions, journals, references, authors, and keywords. Results: A total of 673 publications were included in the analysis. Global publications on AI-driven digital health technologies for diabetes increased steadily, with the USA leading in output. The University of London ranked as the most productive institution. Sensors and diabetes care were the most frequently published and cited journals in this field. Herrero P was among the most prolific authors. The most cited article was “Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.” “diabetes” was the most frequently occurring keyword. Keyword cluster analysis identified 3 primary research hotspots: AI-enabled monitoring, digital health interventions, and AI-based diabetic retinopathy screening. Conclusions: This study summarizes the evolution of AI-driven digital health technologies in diabetes care. Although challenges remain in data security, standardization and validation, these technologies hold increasing potential for accurate diagnosis, real-time monitoring and personalized care.

Emergency specialist nurses play a critical role in improving the quality of emergency care and enhancing patient satisfaction. In China, there is a growing need to systematically evaluate the training and deployment of these nurses to better inform educational and managerial policymaking. This cross-sectional study, conducted in Jiangsu Province between December 2021 and February 2022, sought to comprehensively investigate the training experiences and professional status of emergency specialist nurses. Specific objectives included: assessing perceptions of the training program, including curriculum design, faculty composition, and instructional methods; identifying post-training developments in core competencies and career trajectories; and exploring key challenges and support mechanisms in their current practice. A convenience sample of 567 certified nurses completed a structured questionnaire. Key findings revealed that 63.8% of participants called for the inclusion of experienced clinicians in the training faculty, while 72.5% identified nursing research and teaching as the most needed areas for reinforcement. Only 48.5% regarded online teaching as effective. Training coordination was primarily managed by head nurses (71.4%). Although participants reported substantial improvements in clinical, teaching, managerial, and research capabilities after training, 19.2% had moved to nonemergency departments. The study concludes that while the existing training framework is structurally sound, several areas require attention: online training formats need optimization, the quality of clinical teaching should be enhanced, and greater emphasis should be placed on scientific research training. Continuous professional development also remains essential. A key limitation of this study is its reliance on convenience sampling and self-reported data without instrument validation.

Introduction Concept analysis is widely used in nursing to clarify key concepts, support theory development and improve conceptual consistency in research and practice. Although concept analysis studies have increased substantially, concerns remain regarding methodological heterogeneity and incomplete reporting. Based on preliminary scoping of the literature, no dedicated scoping review has yet mapped the broad landscape of concept analysis studies in nursing while also examining reporting completeness. This protocol describes a scoping review that will characterise methodological trends, identify recurrent reporting omissions and generate an evidence map to support future methodological work in this field. Methods and analysis This scoping review will follow established scoping review guidance and will be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Guided by the Population-Concept-Context framework, we will search major English-language and Chinese-language databases for nursing-related concept analysis studies. All concept analysis approaches will be considered eligible, provided the study explicitly reports analysing a nursing-related phenomenon. Two reviewers will independently screen records, assess full texts and chart data using a standardised extraction form. In parallel, reporting completeness will be examined using an author-developed, evidence-informed audit checklist. Findings will be synthesised using descriptive statistics and qualitative thematic analysis. Ethics and dissemination Ethical approval is not required because this review will synthesise data from publicly available sources. Findings will be disseminated through peer-reviewed publication and conference presentation. The review is expected to provide a structured overview of current concept analysis practices in nursing and to identify priority areas for improving reporting transparency in future methodological work.