International Journal of Telemedicine and Applications最新文献

{"title":"Artificial Intelligence Powered Automated and Early Diagnosis of Acute Lymphoblastic Leukemia Cancer in Histopathological Images: A Robust SqueezeNet-Enhanced Machine Learning Framework.","authors":"Vineet Mehan","doi":"10.1155/ijta/2257215","DOIUrl":"10.1155/ijta/2257215","url":null,"abstract":"<p><p>The growing prevalence of acute lymphoblastic leukemia cancer worldwide underlines the critical need for early and more precise detection to counter this deadly disease. This study presents a robust SqueezeNet-enhanced machine learning framework for automatically screening and classifying histopathological images for acute lymphoblastic leukemia. This work employs a deep learning (DL)-based SqueezeNet integrated with three machine learning (ML) models including neural network (NN), logistic regression (LR), and random forest (RF) for diagnosis. Combining DL and ML algorithms addresses the complexity of understanding histopathological images and the classification process. Evaluation metrics computed for acute lymphoblastic leukemia reveal a good classification accuracy (CA) of 99.3%. Results are further validated by confusion matrix (CM), calibration plot (CP), receiver operating characteristic (ROC) analysis, and comparative analysis with previous techniques. The proposed method has the potential to transform healthcare with more accurate diagnosis. It provides a robust framework for the classification of acute lymphoblastic leukemia, facilitating timely treatment options for patients.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2025 ","pages":"2257215"},"PeriodicalIF":3.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11867728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143524972","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":"Bibliometric Analysis of Alpha-Synuclein Determination by Biopsy in Peripheral Tissues of Patients With Parkinson's Disease.","authors":"Aigerim B Utegenova, Aigul P Yermagambetova, Gulnar B Kabdrakhmanova, Alima A Khamidulla, Zhanylsyn U Urasheva, Nazym K Kenzhinа, Zhanna Zhussupova, Gulzhanat N Nurlanova","doi":"10.1155/ijta/6469893","DOIUrl":"10.1155/ijta/6469893","url":null,"abstract":"<p><p><b>Study Evaluation:</b> The bibliometric analysis of the published results of the alpha-synuclein (<i>α</i>-syn) detection study in the peripheral tissues of patients with Parkinson's disease was carried out by us to study scientific activity and scientific productivity, to measure the quantitative and qualitative characteristics of scientific publications, author productivity, and citation of works, as well as the degree of interrelation between authors, journals, institutes, and countries. <b>Purpose:</b> This study is aimed at bibliometrically analyzing the results of studies on the detection of <i>α</i>-syn in peripheral tissue biopsy of patients with Parkinson's disease from 2013 to 2023. <b>Methods:</b> The data was extracted from the Scopus database collection using an inclusive search strategy. Performance analysis and science mapping were conducted using RStudio v.4.3.1 with the bibliometrix R-package. The analyzed data encompassed trends in publication and citation and the identification of leading institutions, primary sources, authors, and collaborative countries. <b>Results:</b> A total of 124 relevant studies from 53 different sources were thoroughly analyzed. The analysis included the materials of 843 authors, which together gave an impressive average of 37.67 citations per document over the past decade. The annual growth rate in this area of research, according to calculations, was 10.84%, indicating a steady increase in the number of publications over the study period. The huge volume of research results is highlighted by the inclusion of 231 unique keywords of authors. <b>Conclusion:</b> Studies on the detection of pathological <i>α</i>-syn in peripheral tissues for early morphological verification of the diagnosis of Parkinson's disease are relevant in clinical neurology. <i>α</i>-syn detected in the skin biopsy of patients on the basis of this study and data from the world literature meets the requirements for biomarkers.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2025 ","pages":"6469893"},"PeriodicalIF":3.1,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11845268/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484503","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":"Threats and Mitigation Strategies for Electroencephalography-Based Person Authentication.","authors":"Zaib Unnisa, Asadullah Tariq, Irfan Ud Din, Danish Shehzad, Mohamed Adel Serhani, Abdelkader N Belkacem, Nadeem Sarwar","doi":"10.1155/ijta/3946740","DOIUrl":"10.1155/ijta/3946740","url":null,"abstract":"<p><p>This work is aimed at investigating the potential risks linked to electroencephalography (EEG)-based person authentication and providing solutions to mitigate these issues. Authenticating a person by EEG involves verifying the legitimacy of the signals used for user identification. EEG signals serve as a biometric modality for authentication and verification. Additional biometric modalities, such as fingerprints or irises, are vulnerable to both fabrication and degradation over time, and illicit use of dead people's biometrics has sometimes been seen. EEG's intrinsic properties prohibit signal imitation or postmortem acquisition, making it more reliable than other biometric modalities. This research is aimed at investigating the most recent advancements in the domain of EEG signals, clarifying the current knowledge that impacts EEG-based authentication, and evaluating the emerging challenges. Many research publications have been collected to achieve this objective. By considering historical and recent efforts and achievements, this research also presents feasible resolutions to the emerging inquiries prompted by the ongoing advancements in EEG-based technology. The potential future application of EEG-based authentication has also been the subject of this scholarly discourse. A comprehensive collection of articles over the previous decade has been compiled to answer contemporary EEG signal research questions to get valuable insights. According to research findings, in February 2022, a significant milestone was achieved when the EEG signals of a deceased person were successfully captured for the first time in recorded history. However, this groundbreaking discovery may threaten EEG-based authentication. In addition, it is found that EEG-based authentication literature did not completely implement \"liveness detection.\" An updated approach for identifying liveness addresses novel challenges, that is, falsified EEG signals and a dead person's EEG signals for EEG-based authentication that have not been discussed in the literature. The suggested solutions put forward in this study have the potential to stimulate additional research in this area.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2025 ","pages":"3946740"},"PeriodicalIF":3.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11824856/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143415751","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":"Clinical Outcomes and Resource Efficiency of a Telehealth Model for New Lower Gastrointestinal Bleeding Referrals: A Tertiary Colorectal Outpatient Service Audit.","authors":"Zainab Naseem, Qamar M Butt, Amina Shaukat, Rachael Grenfell-Dexter, Junzhe Zhu, Basil D'Souza, Neil Strugnell","doi":"10.1155/ijta/9945160","DOIUrl":"https://doi.org/10.1155/ijta/9945160","url":null,"abstract":"<p><p><b>Introduction:</b> Amidst the COVID-19 pandemic, telehealth (TH) has gained increasing relevance in colorectal patient care, prompting an audit of the TH clinic at a tertiary colorectal unit. This study evaluated telephone-based consultations' clinical efficacy and diagnostic thresholds for new lower gastrointestinal (LGI) bleeding referrals. <b>Methods:</b> We conducted a quality assurance audit of the per rectal (PR) bleeding TH clinic at Northern Hospital Victoria, evaluating new LGI bleeding referrals. Data from July 2021 to June 2023 were extracted from the Referral Management System (RMS) and analyzed. The study focused on newly referred patients, excluding those previously seen or awaiting procedures. Clinical efficacy was determined through sensitivity, specificity, and predictive values, with a receiver operating characteristic (ROC) curve assessing the TH method's discrimination threshold. <b>Results:</b> Of the 239 patients, 131 met the inclusion criteria, with a compliance rate of 96%. The TH clinic demonstrated a sensitivity of 75.76% and specificity of 52.46% in distinguishing between colorectal and anal pathologies. The average time from referral to a diagnostic procedure was 9.75 weeks, with a reduction in median wait time for first appointments from 19 weeks prepandemic to 3.6 weeks. A cost-benefit analysis highlighted TH clinics' ability to reduce overhead costs and maintain a revenue stream despite reduced face-to-face consultations. <b>Conclusion:</b> Our study concludes that the telecare service model serves as an effective complementary approach for managing new LGI bleeding referrals. Further research on long-term outcomes and cost-effectiveness is necessary to fully assess telecare as a potentially sustainable hybrid model.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2025 ","pages":"9945160"},"PeriodicalIF":3.1,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737902/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143012575","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":"Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19.","authors":"Santiago Tello-Mijares, Francisco Flores, Fomuy Woo","doi":"10.1155/ijta/4420410","DOIUrl":"10.1155/ijta/4420410","url":null,"abstract":"<p><p>This study proposes an automated system for assessing lung damage severity in coronavirus disease 2019 (COVID-19) patients using computed tomography (CT) images. These preprocessed CT images identify the extent of pulmonary parenchyma (PP) and ground-glass opacity and pulmonary infiltrates (GGO-PIs). Two types of images-saliency (<i>Q</i>) image and discrete cosine transform (DCT) energy image-were generated from these images. A final fused (FF) image combining <i>Q</i> and DCT of PP and GGO-PI images was then obtained. Five convolutional neural networks (CNNs) and five classic classification techniques, trained using FF and grayscale PP images, were tested. Our study is aimed at showing that a CNN model, with preprocessed images as input, has significant advantages over grayscale images. Previous work in this field primarily focused on grayscale images, which presented some limitations. This paper demonstrates how optimal results can be obtained by using the FF image rather than just the grayscale PP image. As a result, CNN models outperformed traditional artificial intelligence classification techniques. Of these, Vgg16Net performed best, delivering top-tier classification results for COVID-19 severity assessment, with a recall rate of 95.38%, precision of 96%, accuracy of 95.84%, and area under the receiver operating characteristic (AUROC) curve of 0.9585; in addition, the Vgg16Net delivers the lowest false negative (FN) results. The dataset, comprising 44 COVID-19 patients, was split equally, with half used for training and half for testing.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2025 ","pages":"4420410"},"PeriodicalIF":3.1,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729514/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143013926","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":"Telerobotic Versus Standard Ultrasound in the Assessment of the Abdomen and Pelvis: A Real-World Prospective Study.","authors":"David Luengo Gómez, Ángela Salmerón Ruiz, María Isabel Romero Manjón, Antonio Medina Benítez, Antonio Jesús Láinez Ramos-Bossini","doi":"10.1155/ijta/1482326","DOIUrl":"10.1155/ijta/1482326","url":null,"abstract":"<p><p><b>Introduction:</b> Telerobotic ultrasound has emerged as a promising technology in medicine, especially in settings with limited medical access or a lack of specialized personnel. However, there are very few studies evaluating its usefulness in real-world clinical practice. <b>Objective:</b> This study evaluates the usefulness of abdominopelvic telerobotic ultrasound in a real-world practice setting. <b>Methods:</b> A prospective study was performed in a cohort of adult patients who underwent abdominal ultrasound in a remote secondary hospital for suspected abdominal or pelvic pathology. Examinations were performed by an on-site technician and a remote abdominal radiologist. Satisfaction of patients and explorers, scan times, quality of visualization of anatomical structures, and ultrasound findings were measured and compared with standard ultrasound examinations performed by an on-site radiologist blinded to telerobotic ultrasound findings. Multivariate analyses were performed to predict variables related to the visualization quality of abdominopelvic organs. <b>Results:</b> The sample included 40 patients (60% women; mean age, 51.2 ± 16.1 years; 35% overweight and 17.5% obese). Significant differences in ultrasound duration were observed between telerobotic ultrasound and standard ultrasound (27.4 ± 8.3 and 12.7 ± 3.1 min, respectively; <i>p</i> < 0.001). The mean satisfaction of radiologists, technicians, and patients with telerobotic ultrasound was high (7.35 ± 1.14 for radiologists, 7.93 ± 0.83 for technicians, and 8.43 ± 1.38 for patients). Visualization of anatomical structures was acceptable for most organs on telerobotic ultrasound but significantly worse than conventional ultrasound when \"excellent visualization\" was the reference standard. In addition, telerobotic ultrasound did not identify potentially relevant findings in a significant (70%) proportion of patients. <b>Conclusions:</b> Telerobotic ultrasound offers acceptable results in the assessment of abdominopelvic organs and can help provide adequate healthcare to patients in locations with limited access to radiology specialists. However, there are significant limitations compared to standard ultrasound for their optimal evaluation.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2024 ","pages":"1482326"},"PeriodicalIF":3.1,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11663047/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142878311","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":"Pharmacist Perceptions and Future Scope of Telepharmacy in New Zealand: A Qualitative Exploration.","authors":"Hina Saeed, Shane Scahill, Julie Kim, Raevienne Moyaen, Dharini Natarajan, Ayaka Soga, Manvis Wong, Nataly Martini","doi":"10.1155/2024/2667732","DOIUrl":"10.1155/2024/2667732","url":null,"abstract":"<p><p><b>Background:</b> Telepharmacy is the delivery of pharmacy services through telecommunications technology when patients and pharmacists are separated by physical distance. Falling under the broader term of telehealth, telepharmacy has been adopted globally and proved invaluable during the COVID-19 pandemic. <b>Objective:</b> The study is aimed at investigating New Zealand pharmacists' perceptions of telepharmacy adoption and assessing its potential impact on their future scope of practice. <b>Methods</b>: New Zealand registered pharmacists were recruited through convenience sampling to participate in semistructured interviews conducted between July and August 2022. Interviews were transcribed and coded with NVivo and analyzed using inductive thematic analysis to develop themes. Themes and subthemes were mapped to the Clinical Adoption Framework (CAF) to interpret the findings. <b>Results</b>: From 23 participants, 70% were community pharmacists. The COVID-19 pandemic accelerated telepharmacy adoption in New Zealand and most pharmacists perceived it as convenient and beneficial to increase access to pharmacy services. Barriers such as the lack of resources, technology issues, inadequate remuneration, and existing legislation were highlighted, as was the need for better staff training, patient education, better access to technology, regulatory reforms, and integration with existing services. <b>Conclusion:</b> There is a need for reforms and initiatives for sustainable and equitable telehealth use in New Zealand. While preparing for digital infrastructure and capabilities presents challenges, this investment can transform pharmacy practice in the long term, benefiting both patients and pharmacy professionals.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2024 ","pages":"2667732"},"PeriodicalIF":3.1,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11581793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142689147","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 Challenges of Implementing Good Health and Well-Being During a Pandemic: A Case Study of the Behavior of Using Telemedicine Services in the Younger Generation.","authors":"Endang Parahyanti, Afiyah Tsarwat Zharifah, Sinan Vidi Lazuardi","doi":"10.1155/2024/4561336","DOIUrl":"https://doi.org/10.1155/2024/4561336","url":null,"abstract":"<p><p><b>Objectives:</b> Telemedicine has emerged as a crucial tool in addressing public health requirements, particularly during a pandemic. This aligns with the third Sustainable Development Goals (SDGs) objective of ensuring healthy lives and promoting well-being for all ages. The current generation demonstrates a greater proficiency in modern technology, prompting researchers to investigate their views and behavior trends in telemedicine. <b>Methods:</b> This research is aimed at examining the telemedicine adoption patterns of Generation Y and Generation Z by dividing them into two groups. Study Group 1 is comprised of those who have known modern technology but have yet to gain experience in using telemedicine. Meanwhile, Study Group 2 is comprised of those who had used telemedicine services. Utilizing structural equation model (SEM) analysis, this research investigates the magnitude of influence exerted by various determinants on an individual's tendency to utilize telemedicine. <b>Results:</b> Findings from both study groups indicate that younger generations have positive attitudes towards telemedicine, significantly influencing their willingness to use telemedicine. Furthermore, the level of readiness for change emerges as a crucial factor in determining the degree of affective commitment to change, continuance commitment to change, and normative commitment to change. In addition, the participants' affective experience state significantly influences all three dimensions of commitment to change. <b>Conclusion:</b> The results suggest the importance of fostering a positive and pragmatic understanding of telemedicine among young people. This can be achieved by encouraging the use of telemedicine services and fully adopting the shift to telemedicine. Therefore, it is crucial to prioritize the development of a positive view towards telemedicine, provide excellent service experiences, and promote social flexibility to attract a large user base, especially among the younger population.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2024 ","pages":"4561336"},"PeriodicalIF":3.1,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11554412/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142629825","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":"Ensemble Classification Model With CFS-IGWO-Based Feature Selection for Cancer Detection Using Microarray Data.","authors":"Pinakshi Panda, Sukant Kishoro Bisoy, Sandeep Kautish, Reyaz Ahmad, Asma Irshad, Nadeem Sarwar","doi":"10.1155/2024/4105224","DOIUrl":"https://doi.org/10.1155/2024/4105224","url":null,"abstract":"<p><p>Cancer is the top cause of death worldwide, and machine learning (ML) has made an indelible mark on the field of early cancer detection, thereby lowering the death toll. ML-based model for cancer diagnosis is done using two forms of data: gene expression data and microarray data. The data on gene expression levels includes many dimensions. When dealing with data with a high dimension, the efficiency of an ML-based model is decreased. Microarray data is distinguished by its high dimensionality with a greater number of features and a smaller sample size. In this work, two ensemble techniques are proposed using majority voting technique and weighted average technique. Correlation feature selection (CFS) is used for feature selection, and improved grey wolf optimizer (IGWO) is used for feature optimization. Support vector machines (SVMs), multilayer perceptron (MLP) classification, logistic regression (LR), decision tree (DT), adaptive boosting (AdaBoost) classifier, extreme learning machines (ELMs), and K-nearest neighbor (KNN) are used as classifiers. The results of each distinct base learner were then combined using weighted average and majority voting ensemble methods. Accuracy (ACC), specificity (SPE), sensitivity (SEN), precision (PRE), Matthews correlation coefficient (MCC), and F1-score (F1-S) are used to assess the performance. Our result shows that majority voting achieves better performance than the weighted average ensemble technique.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2024 ","pages":"4105224"},"PeriodicalIF":3.1,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142510129","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 Step Tracker Mobile Applications for the Promotion of Physical Activity by Adolescents Based on Their Weight Status.","authors":"Cristina M Ponce-Ramírez, Adrián Mateo-Orcajada, Lucía Abenza-Cano, Raquel Vaquero-Cristóbal","doi":"10.1155/2024/8038334","DOIUrl":"https://doi.org/10.1155/2024/8038334","url":null,"abstract":"<p><p>The objectives of the present study were to analyze the adherence of normal weight and overweight/obese adolescents to intervention with mobile applications; to establish the differences in the evaluation of the mobile application and in the problematic use of the mobile phone between normal weight and overweight/obese adolescents; and to determine the relationship between the distance travelled, the evaluation of the mobile applications, and the conflictive use of the mobile phone. A quasi-experimental design was carried out with the participation of 70 adolescents between 12 and 16 years old (mean age: 14.25 ± 1.23 years old; 38 normal weight and 32 overweight/obese). The adolescents completed a 10-week intervention in which they used step tracker mobile applications for the promotion of physical activity, a minimum of three times per week. Problematic mobile phone use and adolescent ratings of the application used were measured. The results showed no significant differences in adolescents' adherence to the intervention according to the mobile application used (<i>p</i> = 0.191) or weight status (<i>p</i> = 0.202). In addition, significant differences were not found in the assessment of mobile applications within the group of overweight and obese adolescents: engagement (<i>p</i> = 0.471), functionality (<i>p</i> = 0.319), aesthetics (<i>p</i> = 0.378), information (<i>p</i> = 0.184), usability (<i>p</i> = 0.154), or perceived impact (<i>p</i> = 0.139), although differences were found in the assessment made by normal-weight adolescents in information (<i>p</i> = 0.029), usability (<i>p</i> = 0.029), and perceived impact (<i>p</i> = 0.044), where Pacer had better scores than Pokémon Go in the first two dimensions. No greater problematic mobile phone use was found after the intervention according to weight status (<i>p</i> = 0.311) nor the mobile application used (<i>p</i> = 0.985). It can be concluded that there is similar adherence among normal weight and overweight/obese adolescents to interventions with mobile applications to promote physical activity. It is noteworthy that adolescents, regardless of weight status, showed a positive perception towards the use of these mobile applications.</p>","PeriodicalId":45630,"journal":{"name":"International Journal of Telemedicine and Applications","volume":"2024 ","pages":"8038334"},"PeriodicalIF":3.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11459943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142394135","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}