Frontiers in digital health最新文献

{"title":"Clinical experience and perception of risk affect the acceptance and trust of using AI in medicine.","authors":"Peter J Schulz, Kalya M Kee, May O Lwin, Wilson W Goh, Kendrick Y Chia, Max F K Cheung, Thomas Y T Lam, Joseph J Y Sung","doi":"10.3389/fdgth.2025.1620127","DOIUrl":"10.3389/fdgth.2025.1620127","url":null,"abstract":"<p><strong>Background & aims: </strong>As Artificial Intelligence (AI) is progressively making inroads into clinical practice, questions have arisen as to whether acceptance of AI is skewed towards certain medical practitioner segments, even within particular specializations. This study aimed to examine distinct AI attitudes (including trust and acceptance) and intended behaviors among clinicians from contrasting backgrounds and levels of seniority/experience when interacting with AI.</p><p><strong>Methods: </strong>Based on the results we divided participants into four groups, those who have (i) low experience and low risk perception, (ii) low experience and high risk perception, (iii) high experience and low risk perception, and (iv) high experience and perceived risk of AI use to be high. An ANCOVA model was constructed to test whether the four groups differ regarding their overall acceptance of AI.</p><p><strong>Results: </strong>Data from 319 gastroenterologists show the presence of four distinct clusters of clinicians based upon experience levels and perceived risk typologies. Analysis of cluster-based responses further revealed that acceptance of AI was not uniform. Our findings showed that clinician experience and risk perspective have an interactive role in influencing AI acceptance. Senior clinicians with low-risk perception were highly accepting of AI, but those with high-risk perception of AI were substantially less accepting. In contrast, junior clinicians were more inclined to embrace AI when they perceived high risk, yet they hesitated to adopt AI when the perceived risk was minimal.</p><p><strong>Conclusions: </strong>More experienced clinicians were more likely to embrace AI compared to their junior counterparts, particularly when they perceived the risk as low.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1620127"},"PeriodicalIF":3.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12436303/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145082632","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":"Pathologists' user experience in the era of digital pathology: a KAP study in a region of emerging digitization.","authors":"Maher A Sughayer, Lina Souan, Joud S Tadros","doi":"10.3389/fdgth.2025.1603985","DOIUrl":"10.3389/fdgth.2025.1603985","url":null,"abstract":"<p><strong>Background: </strong>Information regarding the use of digital pathology (DP) in developing countries is limited. Additionally, the knowledge and attitudes/perceptions of pathologists are mainly unknown. In this study, we aim to assess the knowledge and attitudes of Jordanian pathologists on DP and artificial intelligence (AI).</p><p><strong>Methods: </strong>A digital survey consisting of 32 questions was constructed using Google Forms and sent to practicing pathologists across all sectors in Jordan. The results were analyzed using descriptive statistics.</p><p><strong>Results: </strong>Forty pathologists representing university hospitals, the Ministry of Health, the Royal Medical Services (RMS), and the private sector (PS) participated in the study. 69.2% of participants had average/above-average knowledge of DP. 77.8% of participants without scanners were interested in obtaining one if funds were available, and 85% were likely or very likely to use it for diagnostic purposes. In comparison, 92.5% were very likely to use it for consultation. Cases diagnosed using DP represent 10%. 85% of participants expressed interest in attending sessions at a national congress on DP, and 37.5% currently use AI platforms. Approximately 65% of people with DP didn't follow any guidelines. Seventy-one percent and twenty-nine percent of the guidelines used were from the College of American Pathologists (CAP) and the Royal College of Pathologists (RCP), respectively. At the same time, all pathologists believed the Jordanian Pathologists Society should develop its guidelines. 76.9% thought that a lack of funds was the primary obstacle to adopting DP. In comparison, a lack of infrastructure and experience ranked second, with 40% indicating a lack of interest or a preference for glass slides as obstacles. As for the primary use of DP, 86.8%, 73.7%, 63.2%, 50%, 44.7%, and 44.7% would use it for consultation, education, research, diagnosis, archiving cases, and tumor boards, respectively.</p><p><strong>Conclusions: </strong>Although digital pathology and slide scanners are limited in Jordan, most pathologists are willing to adopt their use, provided that the significant challenges of a lack of funding and inadequate infrastructure are addressed. The primary uses of DP in Jordan seem to be related to consultations and research.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1603985"},"PeriodicalIF":3.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434013/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076595","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":"Feasibility and acceptability of an in-home digital device health and activity assessment platform in a diverse South Texas cohort: a pilot study.","authors":"Julia J Mathews, Rachel Mulavelil, Nathaniel Rodrigues, Tiffany F Kautz, Kevin Cosgrove, Chen-Pin Wang, Daniel MacCarthy, Roman A Fernandez, Sarah Gothard, Nicole Sharma, Luis Serranorubio, Vanessa M Young, Lyndsey Miller, Sudha Seshadri, Jeffrey Kaye, Zachary T Beattie, Mitzi M Gonzales","doi":"10.3389/fdgth.2025.1603062","DOIUrl":"10.3389/fdgth.2025.1603062","url":null,"abstract":"<p><strong>Introduction: </strong>Health tracking technologies hold promise as a tool for early detection of cognitive and functional decline.</p><p><strong>Methods: </strong>This pilot study of 5 households [<i>N</i> = 7 residents, mean age: 74 (5), 71% Hispanic, 14% Black] used the Oregon Center for Aging & Technology (ORCATECH) platform to evaluate the technology and acceptance of the technology over a one-year interval in South Texas. Cognitive assessments and other surveys were administered at baseline and end-of-study visits.</p><p><strong>Results: </strong>Participants felt comfortable with the technology in their homes (86% Very Satisfactory or Satisfactory) and did not express privacy concerns (100% Very Satisfactory or Satisfactory).</p><p><strong>Conclusion: </strong>Health, cognition, and activity measures did not significantly change from baseline to end-of-study. Depression scores significantly improved (<i>p</i> = 0.034). The ORCATECH platform was an acceptable method of analyzing health and activity in a small, but diverse older population.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1603062"},"PeriodicalIF":3.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434754/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076627","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":"Assessment of shoulder functional movements through inertial measurement units for tele-rehabilitation: a quaternion-based approach.","authors":"Matteo Iurato, Paolo Dondero, Mirko Job, Ronny Stanzani, Gaia Leuzzi, Igor Ingegnosi, Marco Testa","doi":"10.3389/fdgth.2025.1576031","DOIUrl":"10.3389/fdgth.2025.1576031","url":null,"abstract":"<p><p>Telerehabilitation improves accessibility and accelerates recovery: in this context, Inertial Measurement Units (IMUs) are promising wearable sensors for remote movement data collection, which allows to evaluate how closely exercise repetitions align with a prescribed trajectory. Current data processing methods for this purpose include data-driven approaches, requiring exercise-specific training through large amount of data, or distance-based methods with unbounded output, not easy to interpret. This study proposes a novel algorithm which combines the versatility of a bounded output score with numerical stability of quaternions. Data from an IMU-based device were acquired during the execution of human functional shoulder movements by both a young and elderly group of participants. Outputs from the application of the proposed methodology on collected data from same or different movements were statistically compared, revealing ability of discriminating repetitions of the same or of different movements ( <math><mi>p</mi> <mo><</mo> <mn>0.01</mn></math> , <i>rrb</i> effect size = 0.97, contrast ratio 1.7). The proposed algorithm was also confronted with the traditional approaches by statistically comparing outputs from comparison matrices rescaled in equal range of values, and results indicated mild differences in performance (<i>rrb</i> effect size < 0.5). Future works may involve integrating this approach into a functioning telerehabilitation system and obtaining feedback on the usability from real users.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1576031"},"PeriodicalIF":3.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434763/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076618","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":"Effect of transcutaneous auricular vagus nerve stimulation on stress regulation: an EEG and questionnaire study.","authors":"Woo-Jin Kim, Yun-Sung Lee, Ki Hwan Hong, Hyuk Choi, Jae-Jun Song, Han-Jeong Hwang","doi":"10.3389/fdgth.2025.1593614","DOIUrl":"10.3389/fdgth.2025.1593614","url":null,"abstract":"<p><strong>Introduction: </strong>Transcutaneous auricular vagus nerve stimulation (taVNS) has demonstrated efficacy in alleviating stress-related symptoms, yet its underlying neurophysiological mechanisms remain incompletely understood. In this study, we aimed to elucidate the effects of taVNS on stress regulation by employing self-report surveys and electroencephalography (EEG) measures.</p><p><strong>Methods: </strong>Participants performed mental arithmetic (MA) and 2-back tasks to induce stress, receiving either taVNS or sham stimulation in a randomized, crossover design. Resting-state EEG was recorded at baseline and immediately after each stress-inducing task-thereby capturing persisting taVNS-induced changes in neural activity-and subjective stress levels were assessed immediately before and after stimulation.</p><p><strong>Results: </strong>The survey results showed a significant increase in perceived stress following the tasks in the sham condition, whereas stress levels in the taVNS condition did not significantly change. Power spectral density (PSD) analyses revealed that theta and alpha band power in the frontal region significantly decreased only in the sham condition, suggesting elevated stress. Furthermore, whole-brain network analysis indicated a significant reduction in theta band path length in the taVNS condition following both tasks, pointing to enhanced global network efficiency that may help prevent stress escalation.</p><p><strong>Discussion: </strong>By demonstrating distinctive EEG and behavioral differences between taVNS and sham stimulation, this study provides a neurophysiological basis for taVNS as a non-invasive intervention for stress regulation. Future research involving a more diverse participant pool and optimization of taVNS parameters will further clarify its therapeutic potential.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1593614"},"PeriodicalIF":3.2,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12434109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076604","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":"Videoconferencing psychotherapy: determining acceptance, drivers and barriers of use.","authors":"Angelina Nurtsch, Lisa Maria Jahre, Julia Barbara Krakowczyk, Anita Robitzsch, Martin Teufel, Alexander Bäuerle","doi":"10.3389/fdgth.2025.1634013","DOIUrl":"10.3389/fdgth.2025.1634013","url":null,"abstract":"<p><strong>Background: </strong>With increasing digitalization in psychotherapy, some healthcare interactions are transitioning to online services. This study examined the acceptance of videoconferencing psychotherapy (VCP) among patients affected by mental health disorders and healthy controls, identifying drivers and barriers.</p><p><strong>Methods: </strong>A cross-sectional survey study was conducted from February to October 2024 in North Rhine-Westphalia, Germany. Participants were recruited via outpatient clinics, online study platforms, and psychotherapy-related social media. Inclusion criteria were age ≥ 18 years, German language proficiency, and internet access. Sociodemographic, medical, psychotherapeutic anamnesis, and information and communication technologies (ICT) related data were collected. Acceptance of VCP was assessed using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model.</p><p><strong>Results: </strong>Of <i>N</i> = 483 participants, 47.6% (<i>n</i> = 230) reported high, 34.2% (<i>n</i> = 165) moderate and 18.2% (<i>n</i> = 88) low acceptance. Significant predictors included digital overload (<i>β</i> = .14, <i>p</i> = .006), depressive symptoms (<i>β</i> = .11, <i>p</i> = .033), current psychotherapy: outpatient (<i>β</i> = -.34, <i>p</i> = .003), concern: effectiveness (<i>β</i> = -.47, <i>p</i> < .001), concern: emotional expression (<i>β</i> = -.25, <i>p</i> < .001), and the UTAUT predictors: social influence (<i>β</i> = .28, <i>p</i> < .001), performance expectancy (<i>β</i> = .32, <i>p</i> < .001) and effort expectancy (<i>β</i> = .15, <i>p</i> = .001). Explained variance of the final model was 72.9%.</p><p><strong>Conclusions: </strong>The moderate to high acceptance indicates that VCP could supplement psychotherapeutic care addressing the global treatment gap. Identified drivers and barriers highlight factors that should be considered to enable broader implementation.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1634013"},"PeriodicalIF":3.2,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12427252/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145066180","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 impact of tele-expertise in oncology: current state and future perspectives.","authors":"Pierre Heudel, Mona Amini-Adle, Julien Anriot, Gualter Vaz, Claire Laine, Aline Desoutter, Hugo Crochet","doi":"10.3389/fdgth.2025.1552182","DOIUrl":"10.3389/fdgth.2025.1552182","url":null,"abstract":"<p><strong>Background: </strong>Tele-expertise, the asynchronous exchange of medical expertise via secured digital platforms, is revolutionizing healthcare delivery. By overcoming geographical and logistical barriers, it enables timely access to specialized care and supports multidisciplinary decision-making, particularly in oncology. Its adoption has accelerated with the COVID-19 pandemic and regulatory changes, improving patient outcomes by facilitating efficient diagnosis and treatment.</p><p><strong>Materials and methods: </strong>An anaysis of peer-reviewed studies published in the past decade was conducted using PubMed, MEDLINE, and the Cochrane Library. The inclusion criteria focused on studies evaluating tele-expertise for remote consultations, imaging interpretation, pathology evaluation, and multidisciplinary tumor boards. Methodological quality, including study design, sample size, and reliability of outcomes, was assessed. Cross-referencing and manual searches were performed to ensure comprehensive coverage.</p><p><strong>Results: </strong>The review demonstrated that tele-expertise improves access to specialized consultations, enhances diagnostic accuracy, and expedites clinical decision-making. Applications in oncology include remote imaging interpretation and support for multidisciplinary teams. Challenges identified include the transmission of large imaging files, the need for secure and robust IT infrastructure, and training healthcare providers. Ethical considerations, such as data privacy and medical liability, remain key barriers.</p><p><strong>Conclusion: </strong>Tele-expertise is transforming healthcare by enabling equitable access to specialized care and fostering collaboration in oncology. Addressing challenges related to infrastructure, training, and ethical issues is critical to maximizing its potential. The integration of AI and further advancements in telemedicine platforms will enhance its role in delivering high-quality, timely care globally.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1552182"},"PeriodicalIF":3.2,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12426277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145066591","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":"Study protocol for a parallel-group randomized controlled trial of internet-delivered behavior therapy for adults with Tourette syndrome.","authors":"Max Sannemalm, Nathalie Lybert, Lisa Gunnarsson, Per Andrén, Martin Kraepelien, Maria Bragesjö, Robin Fondberg, Volen Z Ivanov, David Mataix-Cols, Lorena Fernández de la Cruz, Erik Andersson, Christian Rück, Ekaterina Ivanova","doi":"10.3389/fdgth.2025.1518666","DOIUrl":"10.3389/fdgth.2025.1518666","url":null,"abstract":"<p><strong>Introduction: </strong>Tourette syndrome (TS) and chronic motor or vocal tic disorder (CTD) are neurodevelopmental disorders associated with functional impairment and reduced quality of life. Behavioral therapy (BT) is an effective treatment, but lack of experienced practitioners makes it hard for patients to receive appropriate help. One approach to bridge the gap between demand and availability is to offer the treatment remotely over the internet with minimal support from a therapist.</p><p><strong>Methods: </strong>This single-blind randomized controlled superiority trial including 110 participants will compare internet-delivered BT (I-BT) primarily consisting of exposure and response prevention (ERP) to a control condition consisting of internet-delivered general psychological support. The primary aim of the trial is to evaluate whether ERP-based I-BT is superior to the control condition in reducing TS/CTD symptoms. The primary outcome measure is the Yale Global Tic Severity Scale - Total Tic Severity score administered by blinded raters at primary endpoint 11 weeks after the treatment start. Secondary endpoints occur at week 23 and 14 months after the treatment start, and the secondary outcomes include tic-related impairment, rates of responders, self-rated tic severity, symptoms of depression, quality of life and cost-effectiveness. Data on dropout rates and adverse events is also collected.</p><p><strong>Discussion: </strong>This is the first randomized controlled trial to evaluate therapist-guided ERP-based I-BT for adults with TS/CTD. The study has been approved by the Swedish Ethical Review Authority (EPM 2023-06541-01). The hypotheses were pre-registered before the start of the data collection. Results from all analyses will be reported according to the Consolidated Standards of Reporting Trials statement for non-pharmacological trials (CONSORT) and Consolidated Health Economic Evaluation Reporting Standards (CHEERS). The participants in the control condition will have the opportunity to receive I-BT after the data from the first follow-up is collected. The study will be published in open access and the results will be shared with service user organizations. At the moment of submission, the study has recruited 87 out of 110 planned participants and the recruitment is expected to be completed in February 2025.</p><p><strong>Trial registration: </strong>Open Science Framework: https://osf.io/cq97b/ (uploaded 31/01/2024); Clinicaltrials.gov: NCT06271083 (submitted 14/02/2024).</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1518666"},"PeriodicalIF":3.2,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12426249/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145066664","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":"Ontologies as the semantic bridge between artificial intelligence and healthcare.","authors":"Radha Ambalavanan, R Sterling Snead, Julia Marczika, Gideon Towett, Alex Malioukis, Mercy Mbogori-Kairichi","doi":"10.3389/fdgth.2025.1668385","DOIUrl":"10.3389/fdgth.2025.1668385","url":null,"abstract":"<p><strong>Background: </strong>Ontologies serve as a foundational bridge between artificial intelligence (AI) and healthcare, enabling structured knowledge frameworks that enhance data interoperability, clinical decision support, and precision medicine.</p><p><strong>Objective: </strong>This perspective aims to highlight the essential role of ontologies in enabling adaptive, interoperable frameworks that evolve with technological and medical advances to support personalized, accurate, and globally connected healthcare solutions.</p><p><strong>Methods: </strong>This perspective is based on a targeted literature exploration conducted across PubMed, Scopus, and Google Scholar, prioritizing studies published between 2010 and 2025 and including earlier seminal works where necessary to provide historical context, focusing on ontology-driven AI applications in healthcare. Sources were selected for their relevance to semantic integration, interoperability, and interdisciplinary applicability.</p><p><strong>Results: </strong>Through the standardization of medical concepts, relationships, and terminologies, ontologies enable semantic integration across diverse healthcare datasets, including clinical, genomic, and phenotypic data. They also address challenges such as fragmented data and inconsistent terminologies. This semantic clarity supports AI applications in clinical decision support, predictive analytics, natural language processing (NLP), and patient-specific disease modeling.</p><p><strong>Conclusions: </strong>Despite their transformative potential, ontology integration faces significant challenges, including computational complexity, scalability, and semantic mismatches across evolving international standards, such as SNOMED CT and HL7 FHIR. Ethical concerns, particularly around data privacy, informed consent, and algorithmic bias, also require careful consideration. To address these challenges, this perspective outlines strategies including adaptive ontology models, robust governance frameworks, and AI-assisted ontology management techniques. Together, these approaches aim to support personalized, accurate, and globally interoperable healthcare systems.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1668385"},"PeriodicalIF":3.2,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12426170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145066605","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":"Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary study.","authors":"Radoslava Švihrová, Davide Marzorati, Michal Bechný, Max Grossenbacher, Yuriy Ilchenko, Jürg Grossenbacher, Athina Tzovara, Francesca Dalia Faraci","doi":"10.3389/fdgth.2025.1640900","DOIUrl":"10.3389/fdgth.2025.1640900","url":null,"abstract":"<p><p>Wearable devices have gained significant popularity in recent years, as they provide valuable insights into behavioral patterns and enable unobtrusive continuous monitoring. This work explores how daily lifestyle choices and physiological factors contribute to coping capacities and aims at designing burnout prevention systems. Key variables examined include sleep stage proportions and nocturnal stress levels, as both play a crucial role in recovery and resilience. Longitudinal data from a 1-week study incorporating wearable-derived features and contextual information are analyzed using a mixed-effects model, accounting for both overall trends and individual differences. A Bayesian inference approach is exploited to quantify uncertainty in estimated effects, providing their probabilistic interpretation and ensuring robustness despite the low sample size. Findings indicate that alcohol consumption negatively affects rapid-eye-movement sleep, increases awake time, and elevates nocturnal stress. Excessive daily stress reduces deep sleep, while an increase in daily active hours promote it. These results align with the existing literature, demonstrating the potential of consumer-grade wearables to monitor clinically relevant relationships and guide interventions for stress reduction and burnout prevention.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1640900"},"PeriodicalIF":3.2,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12424432/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145066194","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}