DIGITAL HEALTH最新文献

{"title":"Impact of a pediatric digital mental health intervention on caregiver sleep and stress: A retrospective exploration of moderators of improvement.","authors":"Darian Lawrence-Sidebottom, Kelsey L McAlister, Donna McCutchen, Monika Roots, Jennifer Huberty","doi":"10.1177/20552076251361589","DOIUrl":"10.1177/20552076251361589","url":null,"abstract":"<p><strong>Background: </strong>Children's mental health (MH) places significant strain on their caregivers, who often experience disrupted sleep and heightened stress. Given the close relationship between caregiver and child MH symptoms, understanding how digital MH interventions (DMHIs) influence both child and caregiver symptoms is essential for optimizing family-centered treatment approaches.</p><p><strong>Objectives: </strong>The purpose of this study was to (a) examine associations between child MH and caregiver sleep problems and stress before beginning MH treatment, (b) explore whether a child's engagement level with a DMHI moderates their rate of MH improvement, and (c) determine whether a child's rate of MH improvement is associated with their caregiver's rate of improvement in sleep problems and stress.</p><p><strong>Methods: </strong>Child-caregiver pairs (<i>N</i> = 3104) completed assessments approximately monthly over at least three months of care to assess caregiver sleep problems and stress, and child MH outcomes. Associations between caregiver and child MH symptoms at baseline were tested. Linear mixed-effects models tested whether engagement was associated with child symptom improvements, and to test whether child outcomes were associated with monthly improvements in their caregiver.</p><p><strong>Results: </strong>Caregiver sleep problems were associated with child internalizing symptoms (anxiety, depression, and sleep problems; <i>P</i> < .001). Stress was associated with child externalizing symptoms (inattention, hyperactivity, and opposition; <i>P</i> < .001) and younger child age (<i>P</i> < .001). Improvements in symptoms were marginally larger for children with more frequent coaching and therapy sessions (<i>P</i> = .066). Larger improvements in child symptoms were significantly associated with larger improvements in caregiver sleep problems and stress (<i>P</i>s < .001).</p><p><strong>Conclusion: </strong>Caregivers of children with more severe symptoms experienced higher stress and sleep disturbances. Greater session engagement was linked to greater child symptom improvement, and greater child symptom improvement was associated with greater reductions in caregiver sleep problems and stress. This highlights how a pediatric DMHI can drive meaningful improvements in MH that extend beyond the child, creating positive ripple effects for caregivers as well.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251361589"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in deep learning for lymphoma segmentation: Clinical applications and challenges.","authors":"Wanru Liang, Feiyang Yang, Peihong Teng, Tianyang Zhang, Weizhang Shen","doi":"10.1177/20552076251362508","DOIUrl":"10.1177/20552076251362508","url":null,"abstract":"<p><p>Lymphoma is a prevalent malignant tumor within the hematological system, posing significant challenges to clinical practice due to its diverse subtypes, intricate radiological and metabolic manifestations. Lymphoma segmentation studies based on positron emission tomography/computed tomography (PET/CT), CT, and magnetic resonance imaging represent key strategies for addressing these challenges. This article reviews the advancements in lymphoma segmentation research utilizing deep learning methods, offering a comparative analysis with traditional approaches, and conducting an in-depth examination and summary of aspects such as dataset characteristics, backbone networks of models, adjustments to network structures based on research objectives, and model performance. The article also explores the potential and challenges of translating deep learning-based lymphoma segmentation research into clinical scenarios, with a focus on practical clinical applications. The future research priorities in lymphoma segmentation are identified as enhancing the models' clinical generalizability, integrating into clinical workflows, reducing computational demands, and expanding high-quality datasets. These efforts aim to facilitate the broad application of deep learning in the diagnosis and treatment monitoring of lymphoma.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251362508"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304644/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A scoping review of trauma-informed care principles applied in design and technology.","authors":"Melissa Eggleston, Emily P Jones, Nashmia Khan, William A Romani, Kyle McQuillan, Jessica Otero, Elizabeth Chen","doi":"10.1177/20552076251360925","DOIUrl":"10.1177/20552076251360925","url":null,"abstract":"<p><strong>Objectives: </strong>Since psychological trauma and the use of technology are common in society, designers and researchers have been applying a trauma-informed (TI) approach to the digital design of technology. A TI approach was developed by the social work field to better serve those who have been through trauma. The purpose of this scoping review was to determine the current state of scholarly research on TI digital design and technology.</p><p><strong>Methods: </strong>Searches were conducted in five databases for peer-reviewed articles about the design of digital interventions using TI approaches, published from 2000 to 2023. One hundred and eighteen studies were included and examined for their use of TI approaches, settings, types of digital design, and types of organizations and practitioners designing.</p><p><strong>Results: </strong>Studies and interventions are not explicitly or methodically applying a TI approach to digital design, despite hopes to serve populations with significant trauma (e.g., life-threatening cancer survivors) in various settings. Efforts are sometimes consciously made that align with TI principles (e.g., safety), but other times there's no accounting for trauma and its impacts in the design of interventions.</p><p><strong>Conclusion: </strong>The review indicates that there is a lack of using the evidence-based framework of a TI approach in digital design.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251360925"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304634/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM.","authors":"Xing Zhai, Qinxiang Wang, Yaqing Nie, Aiqing Han, Ruifeng Li","doi":"10.1177/20552076251363463","DOIUrl":"10.1177/20552076251363463","url":null,"abstract":"<p><strong>Objective: </strong>To systematically investigate the key determinants influencing health information quality in social media environments and elucidate their hierarchical relationships, thereby providing evidence-based guidance for quality improvement.</p><p><strong>Methods: </strong>This study employed an innovative integration of meta-ethnography and Decision-Making Trial and Evaluation Laboratory-Interpretive Structural Modeling (DEMATEL-ISM) methodologies. Through systematic extraction and multi-dimensional analysis of influencing factors-including centrality metrics, causal relationships, and hierarchical structures-we developed a comprehensive mechanism model clarifying factor interactions and their cumulative impacts on health information quality enhancement.</p><p><strong>Results: </strong>Our analysis identified 18 critical factors affecting health information quality, which were categorized into six distinct hierarchical levels through rigorous computational modeling. The results revealed complex cross-level interactions and mutual influences among these determinants. Nine core factors emerged as pivotal: information accuracy, authority orientation, platform reputation, creator expertise, information utility, health information literacy, content originality, source authority, and health concepts.</p><p><strong>Conclusion: </strong>The findings establish a hierarchical quality improvement framework, suggesting that targeted interventions focusing on the nine core factors can significantly enhance health information quality in social media ecosystems. This study provides both theoretical foundations and practical insights for multi-stakeholder collaborative governance in digital health communication.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251363463"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304623/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond individual barriers and facilitators: Digital interventions to address diabetes in urban Ghana.","authors":"Ethan Gray, Ann Blandford, Samuel Amon, Publa Antwi, Vida Asah-Ayeh, Raphael Baffour Awuah, Leonard Baatiema, Sandra Boatemaa Kushitor, Hassan Haghparast-Bidgoli, Hannah Maria Jennings, Irene Akwo Kretchy, Daniel Strachan, Megan Vaughan, Edward Fottrell","doi":"10.1177/20552076251349705","DOIUrl":"10.1177/20552076251349705","url":null,"abstract":"<p><strong>Objective: </strong>The prevalence of type 2 diabetes (T2D) and other non-communicable diseases (NCDs) in Ghana and other countries in sub-Saharan Africa (SSA) is increasing at a rate notably higher than the rest of the world. Consequently, there is an urgent need to develop low-cost community interventions for diseases including T2D in Ghana, with digital tools potentially empowering community members in prevention and management. This research aimed to identify effective strategies for leveraging digital tools to address T2D in Ga Mashie, Ghana, through community-driven empowerment and action.</p><p><strong>Method: </strong>This was a mixed methods study involving focus groups (N = 13), qualitative interviews with community representatives (N = 69) and two community workshops (N = 35 participants in each).</p><p><strong>Results: </strong>The focus groups and interviews identified strong facilitators for an individual-level digital intervention focused on education; however, workshops highlighted that the community wants greater access to in-person education and healthcare services in Ga Mashie, limiting the likely impact of an individual digital intervention.</p><p><strong>Conclusion: </strong>Our findings challenge the widespread assumption that digital interventions should be targeted at the individual; rather, digital tools might be used to empower community leaders in Ga Mashie with training and clinical guidance to function as healthcare agents, scaling-up the delivery of education and screening services to their broader community. This suggests a novel system-level strategy for designing community-based, empowerment-focused digital health interventions that reflect the practices and values of community members, though further work is needed to validate this approach.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251349705"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors that influence trust and willingness to use generative AI for health information: A cross-sectional study.","authors":"Adela Svestkova, Yi Huang, David Smahel","doi":"10.1177/20552076251360973","DOIUrl":"10.1177/20552076251360973","url":null,"abstract":"<p><strong>Objective: </strong>Generative AI is increasingly used to provide health-related information in addition to online health information seeking (OHIS). Users' willingness to adopt it is crucial. This study investigates individual factors associated with more frequent OHIS: health status, health anxiety, and eHealth literacy. Using the Technology Acceptance Model (TAM), we examined whether these factors are related to more trust in generative AI for health-related purposes and the willingness to use it.</p><p><strong>Methods: </strong>Using SEM, we analyzed cross-sectional survey data (<i>N</i> = 4775) that is representative of adult Czech internet users (50% female; aged 18-95 years).</p><p><strong>Results: </strong>Trust in AI was strongly associated with willingness to use AI. Health status and health anxiety were related to willingness to use AI only indirectly through trust. Higher eHealth literacy was associated with more trust only marginally and had no direct relationship with willingness to use AI. Wellness-related OHIS was positively associated with willingness to use AI for wellness purposes, and illness-related OHIS was associated with willingness to use AI for illness purposes.</p><p><strong>Conclusion: </strong>Although not emphasized in TAM and its health-related extensions, trust seems to be a critical mediator in the adoption of generative AI for health purposes. Other factors related to OHIS were not associated with willingness to use AI, except for their relationship with trust. eHealth literacy is practically unrelated to trust and willingness to use AI, which is noteworthy given that health anxiety and health status related to higher acceptance are associated with more risky or high-stake use of online health information.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251360973"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the efficacy of integrating digital therapeutics with home-based cardiac rehabilitation on cardiovascular health in high-risk post-PCI patients (DTx-HBCR): Study protocol for a randomized controlled trial.","authors":"Shuangliang Ma, Zhongxiu Chen, Junyan Zhang, Jiani Liu, Lin Xu, Baotao Huang, Mingang Zhou, Hua Wang, Yong Chen, Mian Wang, Chen Li, Yong He","doi":"10.1177/20552076251360885","DOIUrl":"10.1177/20552076251360885","url":null,"abstract":"<p><strong>Background: </strong>Prior research has shown that home-based cardiac rehabilitation (HBCR) and center-based cardiac rehabilitation (CR) achieve comparable clinical outcomes in patients at low to moderate cardiovascular risk. However, the effectiveness of HBCR in high-risk patients remains uncertain. This study evaluates the efficacy of a DTx-integrated, multidisciplinary HBCR program as an alternative to usual care in high-risk patients following percutaneous coronary intervention (PCI).</p><p><strong>Methods: </strong>The DTx-HBCR trial is a parallel-arm, randomized controlled trial that will enroll 366 high-risk patients undergoing PCI at West China Hospital of Sichuan University. Participants will be randomly assigned in a 1:1 ratio to either a 6-month DTx-HBCR group (intervention group) or a 6-month usual care group (control group). Following the intervention period, both groups will be observed for an additional 6-month follow-up without active intervention. Outcome assessments will be conducted at baseline and at 3, 6, and 12 months post-randomization. The primary outcome is the between-group difference in functional capacity at 6 months, assessed by the 6-minute walk test. Key secondary outcomes include changes in cardiovascular health metrics (i.e., smoking status, blood pressure, glycosylated hemoglobin, lipid profile, body mass index, and physical activity), health-related quality of life, psychological well-being, and adherence to evidence-based cardioprotective medications. All analyses will be conducted according to the intention-to-treat principle.</p><p><strong>Conclusion: </strong>The DTx-HBCR trial is a novel randomized controlled clinical study designed to evaluate the efficacy of DTx-integrated HBCR program in improving functional capacity in high-risk patients following PCI. This DTx-integrated intervention has the potential to enhance cardiovascular health outcomes in this high-risk population.</p><p><strong>Trial registration: </strong>NCT06542575 (ClinicalTrials.gov).</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251360885"},"PeriodicalIF":3.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How AI-powered consultation services in internet hospitals influence patient satisfaction: A structural analysis.","authors":"Junkai Wang, Linru Fu, Zeguang Huang, Kan Hu, Zhizhuo Lin, Qiuhong Tang","doi":"10.1177/20552076251358673","DOIUrl":"10.1177/20552076251358673","url":null,"abstract":"<p><strong>Objective: </strong>This study explores how AI-powered consultation services in internet hospitals influence patient satisfaction through perceived value and emotions. A dual-path analytical framework was developed: the technical path uses the E-S-QUAL model to assess the quality of intelligent consultation guidance services in terms of efficiency, system availability, privacy, and fulfillment; the experiential path is based on the Patient Experience-Driven Model, which integrates service encounter theory (focusing on patient-system interactions) and the Stimulus-Organism-Response theory (explaining how external stimuli trigger psychological and behavioral responses).</p><p><strong>Methods: </strong>The dual-path framework includes two submodels. The technical path examines how service quality dimensions affect patient satisfaction through perceived value (i.e., patients' subjective evaluation of the service's usefulness and reliability). The experiential path investigates how service encounters-including interaction, recommendation, and security-indirectly influence satisfaction via perceived value and patient emotions. A structural equation model was applied to analyze data from 1113 valid survey responses.</p><p><strong>Results: </strong>Both paths significantly influenced satisfaction. Fulfillment and privacy had the most significant effects in the technical path. In the experiential path, service encounters impacted satisfaction through perceived value and emotions. Emotions acted as psychological amplifiers, with positive emotions enhancing the positive effect of perceived value on satisfaction, while negative emotions weakened this effect. Notably, service encounters suppressed negative emotions more strongly than they enhanced positive ones.</p><p><strong>Conclusions: </strong>This study clarifies the dual role of technical service quality and emotional experience in shaping patient satisfaction, providing theoretical and practical insights for optimizing AI-powered healthcare consultations.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251358673"},"PeriodicalIF":3.3,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144745924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexual health service users' perspectives on artificial intelligence applications for identification of lesions associated with sexually transmissible infections: A qualitative study.","authors":"Alicia J King, Nyi Nyi Soe, Phyu Mon Latt, Lei Zhang, Meredith Temple-Smith, Kate Maddaford, Christopher K Fairley, Eric Pf Chow, Tiffany R Phillips","doi":"10.1177/20552076251361749","DOIUrl":"10.1177/20552076251361749","url":null,"abstract":"<p><p><b>Background:</b> Early identification of sexually transmissible infections (STIs) is central to their control by facilitating timely access to healthcare. A web-based sexual health application using artificial intelligence (AI) to identify the risk of a genital or anal lesion being an STI, from a photographic image, is in development. However, the usefulness, accessibility, and acceptability of this technology to potential users are unknown. <b>Method:</b> This research adopted a developmental evaluation approach to explore potential users' views of the usefulness of this AI application, as well as factors impacting its acceptability and accessibility. Three focus groups were conducted with attendees of a sexual health clinic. Focus group discussions were recorded, transcribed, and analysed using action coding to identify key concepts. <b>Results:</b> A diverse group of 12 participants provided feedback on the proposed application. Feedback on the application's usefulness highlighted its potential value in supporting access to individualised sexual health information; informing decisions about healthcare seeking; and preventing transmission to others. Factors mediating the accessibility and acceptability of AI-powered applications included potential users' awareness of the application; concerns about data security; the accessibility of the application to diverse user groups; trust in the technology; and transparency about the application's limitations. <b>Conclusion:</b> AI applications for the identification of visible changes in the ano-genital region have the potential to support access to sexual health information, healthcare seeking and the prevention of onward transmission of STIs. Codesign approaches will increase the likelihood of more widespread uptake and public health impact of AI-powered sexual health applications.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251361749"},"PeriodicalIF":3.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12301645/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144735196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Internet addiction, test anxiety, adult separation anxiety disorder: Is there a connection?","authors":"Hadi Hasani, Mahdi Manoochehri, Fatemeh Zarezadeh, Fatemeh Ramezanian, Milad Bazghaleh, Behnaz Alafchi, Amir Mohammad Chekeni","doi":"10.1177/20552076251361678","DOIUrl":"10.1177/20552076251361678","url":null,"abstract":"<p><strong>Background and aim: </strong>Internet addiction can cause anxiety and depression. Exams and living far from home can cause anxiety as well. This research aimed to explore the correlation between Internet addiction, exam-related anxiety, and adult separation anxiety among students.</p><p><strong>Methods: </strong>This study used a correlational descriptive method to select a varied group of 258 students from Shahroud University of Medical Sciences by using a multistage sampling technique. Several university majors were selected by using a random selection process. The demographic form, Internet Addiction Test (IAT), Frieden Test Anxiety Scale (FTA), and Adult Separation Anxiety (ASA) were the data collection tools.</p><p><strong>Results: </strong>The average Internet addiction score was 37.34 ± 10.18, demonstrating a positive correlation with test anxiety (<i>r</i> = 0.28, <i>P</i> < .000). The average adult separation anxiety score was 35/44 ± 18/24, which showed a significant positive correlation with Internet addiction (<i>r</i> = 0.37, <i>P</i> < .000). Internet addiction was also related to the amount of Internet usage, self-phone usage, being native or not, and studying only the night before the exam instead of studying throughout the semester.</p><p><strong>Conclusion: </strong>Internet addiction can be related to test anxiety in students. Moreover, students who experience adult separation anxiety due to living away from familiar situations and people can experience Internet addiction more.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":"11 ","pages":"20552076251361678"},"PeriodicalIF":3.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12301646/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144735191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}