Jing Sun

This study aimed to validate intraoral scanning (IOS) for oral health surveys, describe oral health status among rural older adults in China, and analyze associated factors and pathways to provide evidence for targeted interventions. A cross-sectional survey was conducted in 2024 among 2,179 rural adults aged ≥ 60 from four Chinese provinces using multistage cluster sampling. Data were collected through clinical oral examinations, IOS (dentition status, periodontal status, oral cleanliness, and denture status), and face-to-face questionnaires (general characteristics, oral hygiene behaviors, oral health service utilization, oral health literacy, oral frailty, and oral health-related quality of life). The diagnostic accuracy of the IOS was evaluated using sensitivity, specificity, Cohen's Kappa, and the area under the curve (AUC), with clinical examination as the reference standard. Oral health status was characterized using descriptive analyses. Factors associated with the number of remaining teeth (categorized into three groups: 1-9, 10-19, and ≥ 20) were identified using ordinal logistic regression. Structural equation modeling (SEM), guided by the Wilson and Cleary model, was applied to incorporate variables and examine potential pathways. The Runyes intraoral scanner showed sensitivities of 95.24%-99.41%, AUC values of 0.821-0.919, and kappa coefficients of 0.736-0.845, compared with inter-examiner agreement for clinical examination (kappa: 0.84-0.91). The mean number of remaining teeth was 17.46 ± 10.59, and 13.4% of participants were edentulous. The mean DMFT score was 15.98, with dental caries present in 97.0%. Among dentate participants, dental calculus and gingival recession were observed in 99.9% and 97.3%, respectively, and over 95% had poor oral cleanliness. Approximately 50% of participants used dentures. Fewer remaining teeth were associated with older age, smoking, prior dental treatment, recent toothache, lower income, weaker grip strength, non-use of fluoride toothpaste and dental floss, and lower oral health literacy (OHL). SEM showed that oral health skill, including use of interdental cleaning tools, brushing duration, and brushing force, significantly moderated the downstream effects of poor oral health status into adverse oral health-related quality of life outcomes (interaction effects p < 0.05). 3D IOSs may serve as an efficient tool for oral health surveys. Rural older adults in China experience considerable oral health challenges. Improving OHL through targeted strategies could contribute to better oral health status in this population.

Background: Large Language Models (LLMs) highlight their potential in supporting patient education and self-management. Their performance in responses to orthodontic questions has yet to be explored. Objectives: This study aims to compare the quality, empathy, readability, and satisfaction of responses from LLMs and search engines on common orthodontic questions. Methods: Forty-five common orthodontic questions (six categories) and a prompt were developed, and a self-designed multidimensional evaluation questionnaire was constructed. Questions were presented to 5 LLMs and 3 search engines on December,22,2024. The primary outcomes were the median expert-rated scores of LLMs versus search engine responses on quality, empathy, readability, and satisfaction, using 5- or 10-point Likert scales. Results: LLMs scored significantly higher than search engines in quality (4.00 vs. 3.50, p < 0.001), empathy (3.75 vs. 3.50, p < 0.001), readability (4.00 vs. 3.75, p < 0.001), and satisfaction (8.00 vs. 7.25, p < 0.001). LLM-generated responses were rated significantly higher than those from search engines in therapeutic outcomes category, appliance selection category and cost category. Conclusions: In this cross-sectional study, the LLMs, particularly GPT-4o, outperformed search engines. These results indicate the potential of LLMs as supplementary tools for orthodontic patient education and self-management.

Social media has become a prominent source of health educational short videos (HESVs), yet their quality varies significantly, with many being inaccurate, incomplete, or poorly presented. Both healthcare professionals and the public lack clear criteria to evaluate HESVs quality when seeking health information on social media. This study aims to evaluate the quality of HESVs on YouTube and Douyin based on Lasswell’s 5 W communication model, and analyze the key factors for selecting high-quality HESVs. 200 videos were selected from YouTube and Douyin, respectively, between October 1 and November 30, 2024. Four independent reviewers analyzed the quality of HESVs using the Lasswell’s Video Quality scale (LassVQ), modified DISCERN (M-DISCERN), and Global Quality Score (GQS). Comparative analysis, correlation analysis, and multiple linear regression were conducted by R 4.3.2 software. The median video length was 189 s on YouTube and 88 s on Douyin. Douyin videos received significantly more likes (152190 vs. 116354, P < 0.001) and comments (10496 vs. 2726, P < 0.001) than YouTube videos. The median quality scores on YouTube and Douyin were: LassVQ (3.77 vs. 3.66, P = 0.0254), M-DISCERN (3.12 vs. 2.41, P < 0.001), and GQS (4 vs. 4, P = 0.906). Except for like volume on Douyin (r = 0.25–0.4, P < 0.001), no significant correlation between engagement metrics and the quality of HESVs. Multiple linear regression analysis revealed that key factors for high-quality video selection included visible reference information (YouTube: P = 0.002, Douyin: P = 0.014), necessary relevant information (Douyin: P < 0.001), clear dubbing, louder than background music (YouTube: P = 0.005, Douyin: P = 0.021), perception of knowledge acquisition (Douyin: P = 0.021), perception of action necessity (Douyin: P = 0.031), motivation to share (YouTube: P < 0.001), recommended as a trending video (Douyin: P = 0.033). The quality of HESVs on YouTube and Douyin is inadequate. Users should prioritize trending HESVs produced by experts, with clear dubbing, visible references, essential content, and a clear sense of knowledge acquisition, action necessity, and sharing motivation.

Background: With the increasing use of social media platforms for health communication, the quality of health educational short videos (HESVs) has become a key concern. However, no standardized framework exists to evaluate the quality of health videos on social media, highlighting the need for a comprehensive evaluation system. Objective: This study aimed to develop a valid and structured evaluation tool for assessing the quality of HESVs on social media. Methods: The initial evaluation indicators obtained from the literature review and brainstorming undertaken in the study group were provided to the nominal group reference Lasswell’s 5W communication model, and 2 rounds of nominal group technique (NGT) were carried out to screen, add, revise, and adjust indicators, and reach a consensus of evaluation system. The indicators were then ranked based on their significance, as scored by the experts using the analytic hierarchy process. The content validity was assessed by experts who rated the relevance of each indicator on a 4-point Likert scale. Results: The primary indicators include communicator, communication content, communication channel, and communication effect, along with 13 secondary indicators and 34 tertiary indicators. In total, 11 experts were enrolled in the NGT, 45% (5/11) of experts had a doctoral degree, and 80% (9/11) of them were ranked as an associate professor or professor. The average values of the expert judgment coefficient and authority coefficient were 0.93 (SD 0.08) and 0.85 (SD 0.10), respectively. In round 1 of NGT, the “communication target” of 5 primary indicators, 7 of 20 secondary indicators, and 66 of 94 tertiary indicators did not reach a consensus, and therefore, they were not deleted and proceeded to the next round of NGT. In round 2 of NGT, 1 primary indicator, 7 secondary indicators, and 59 tertiary indicators were deleted based on the consensus criteria. Among primary indicators, communication content was found to be the most influential, accounting for 45.68%. Among secondary indicators, credibility, scientificity, availability, and social attention were the most influential indicators, with priorities of 56.67%, 24.26%, 74.62%, and 39.89% in their respective categories. Among tertiary indicators, “become a hot search recommended by the platform” was the most influential indicator with a weight of 0.07. The content validity of all the evaluation indicators was 0.73-1.0, and the scale-level content validity index (average) was 0.87 (SD 0.15), which was indicated as acceptable. Conclusions: The evaluation system for the quality of HESVs on social media (LassVQ; the Lasswell’s Video Quality scale) was developed, and its validity was acceptable. The proposed evaluation system can be used in conjunction with qualitative methods to gain a holistic perspective on the multidimensional quality of HESVs on social media.

Objective: With the development of ChatGPT, the number of studies within the nursing field has increased. The sophisticated language capabilities of ChatGPT, coupled with its exceptional precision, offer significant support within the nursing field, which includes clinical nursing, nursing education, and the clinical decision-making process. Preliminary findings suggest positive outcomes, underscoring its potential as a valuable resource for enhancing clinical care. However, a comprehensive analysis of this domain is lacking, and the application of bibliometric methods remains rare. This study aims to describe and predict the developmental trajectory of the discipline, identify research hotspots and trends, and provide a comprehensive framework for the integration of ChatGPT in nursing.Methods: Following the development of a search strategy in collaboration with librarians, the implementation of this strategy occurred in the Web of Science Core Collection (WoSCC) on June 30, 2024. For bibliometric and visual analyses—including evaluations of sources, institutions, countries, author collaboration networks, and keywords—Bibliometrix (version 4.4.2) and CiteSpace (version 6.2.R2 Basic) were employed.Results: A total of 81 articles published by 67 authors were retrieved from the Web of Science Core Collection database, covering the period of June 30, 2024. The number of published studies has exhibited an increasing trend. The “European Journal of Cardiovascular Nursing” emerged as the most productive journals, while the USA, the UK, and China were identified as the leading countries in terms of publication output. The top 10 keywords identified in this study include artificial intelligence, nursing education, large language models, ChatGPT, natural language processing, generative artificial intelligence, care, nursing practice, clinical decision-making, and deep learning.Conclusion: ChatGPT is an emerging tool in the nursing field, currently in the foundational research phase. While there is significant international collaboration, cooperation among author groups remains somewhat limited. Studies focusing on ChatGPT in nursing primarily concentrate on two key themes: (1) the deep learning of ChatGPT in nursing and (2) the feasibility of its application. It is essential for nurses across various specialties to collaborate in exploring the diverse applications of ChatGPT within their domains, thereby fostering the ongoing development and enhancement of this technology.

Objectives: The aim of this research is to discuss the research status, hotspots, frontiers, and development trends in the field of small bowel adenocarcinoma based on bibliometrics and visual analysis by CiteSpace software.Methods: The relevant research articles on SBA from 1923 to 2023 were retrieved from the Web of Science Core Collection database. CiteSpace software was used to form a visual knowledge map and conduct analysis for the countries/regions, journals, authors, keywords, clusters, research hotspots and frontiers of the included articles.Results: There were 921 articles included, and the number of articles published during 1923-2023 is increasing. The country with the highest number of articles published was the United States (443, 38.76%), followed by Japan (84, 9.12%) and France (72, 7.82%). The author with the highest number of publications is Ansell, Overman MJ (33, 3.58%), and the author with the highest co-citation frequency is Overman MJ (218). Journal of Clinical Oncology is the journal with the highest publication frequency. The top five cluster groups were “chemotherapy”, “inflammatory bowel disease”, “celiac disease”, “tumor” and “small intestine”. The related disease, chemotherapy drugs, and treatment regimens of SBA form the main research fields, and prognosis and diagnosis are the research hotspots and trends.Conclusion: The global research field in SBA has expanded in the past 100 years. The prognosis and new diagnosis of SBA are hotspots in this field and require further study in the future.

The content of this article is the blood glucose control of diabetic patients and its related factors, and the topic has certain clinical value. Introduction The basic concepts of diabetes and blood glucose control described by the author in this s...

This study aimed to examine the relationship between difficulties in emotion regulation and emotional eating and the role of impulsivity and depressive symptoms in mediating this chain. Four hundred ninety-four undergraduate students participated in the study. A self-designed questionnaire was used in the survey from February 6 to 13, 2022, to finish our purpose, including the Emotional Eating Scale (EES-R), Depression Scale (CES-D), Short Version of the Impulsivity Behavior Scale (UPPS-P) and Difficulties in Emotion Regulation Scale (DERS). The results showed that 1) difficulties in emotion regulation, impulsivity, depressive symptoms, and emotional eating were correlated; 2) impulsivity and depressive symptoms separately mediated the relationship between difficulties in emotion regulation and emotional eating; 3) impulsivity and depressive symptoms played a chain mediating role between difficulties in emotion regulation and emotional eating. The current study provided a better understanding of the psychologically related pathway of emotional eating. The results would be helpful for prevention and intervention of emotional eating among undergraduate students.