Background: Obesity is a global epidemic. Behavior change monitoring using a smartphone application (app) can support weight management in obese patients. These apps must undergo usability testing, which is an important step in mobile healthcare app development. The current study aimed to develop a mobile app for behavioral monitoring and to test its usability including technical effectiveness, user efficiency, and user satisfaction for obese adults.
Methods: Development of the Dr. Youth app components included information on behavioral monitoring indicators and their obesity subtypes. The usability of the app was tested with 50 obese adults in a university hospital. Participants were asked to complete eight tasks for evaluating the technical effectiveness of the app. The time to complete each task was measured to test user efficiency. To explore user satisfaction, each participant completed the System Usability Scale (SUS). Descriptive statistics were used to examine the mean user efficiency and SUS scores.
Results: Fifty adults (14 men and 36 women, aged 20-59 years) who are obese (body mass index ≥25 kg/m) were recruited. The mean age of participants was 42.6 years (standard deviation [SD], 10.8 years); their mean body mass index was 29.6 kg/m (SD, 5.7 kg/m). The tasks were completed with a 99% success rate. The overall mean SUS score was 76.65 (SD, 15.43).
Conclusion: The Dr. Youth app shows acceptable technical effectiveness, user efficiency, and user satisfaction. Future study is warranted to establish the app's clinical efficacy.
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http://dx.doi.org/10.7570/jomes.2019.28.3.194 | DOI Listing |
Bioinformatics
December 2024
Laboratory of Data Discovery for Health Limited (D24H), Hong Kong SAR, China.
Summary: With the recent advancement in single-cell RNA-sequencing technologies and the increased availability of integrative tools, challenges arise in easy and fast access to large collections of cell atlas. Existing cell atlas portals rarely are open sourced and adaptable, and do not support meta-analysis at cell level. Here, we present an open source, highly optimised and scalable architecture, named Scope+, to allow quick access, meta-analysis and cell-level selection of the atlas data.
View Article and Find Full Text PDFAnal Methods
December 2024
Department of Chemistry, Sharif University of Technology, Tehran, 111559516, Iran.
Assessing the total antioxidant capacity (TAC) in biological samples, such as saliva, is essential for health monitoring and disease prevention. TAC plays a critical role in protecting cells from damage caused by free radicals and oxidative stress, which are associated with various conditions, including cancer, cardiovascular diseases, and aging. Key antioxidants, including ascorbic acid (AA), cysteine (CYS), glutathione (GSH), and uric acid (UA), significantly contribute to this protective effect, with salivary levels of these antioxidants reflecting their concentrations in the bloodstream.
View Article and Find Full Text PDFNat Comput Sci
December 2024
Department of Pharmacology, University of California San Diego School of Medicine, La Jolla, CA, USA.
Biological cells rely on precise spatiotemporal coordination of biochemical reactions to control their functions. Such cell signaling networks have been a common focus for mathematical models, but they remain challenging to simulate, particularly in realistic cell geometries. Here we present Spatial Modeling Algorithms for Reactions and Transport (SMART), a software package that takes in high-level user specifications about cell signaling networks and then assembles and solves the associated mathematical systems.
View Article and Find Full Text PDFMetabolomics
December 2024
Department of Chemistry, University of Colorado Denver, Denver, CO, 80204, USA.
Introduction: Metabolomics is the comprehensive study of small molecules in biological systems. It has recently garnered attention for its wide variety of applications such as diseases, drug treatments, agriculture, and more. As the interest in metabolomics grow, meeting the demands of cutting-edge research requires software tools that not only advance analytical capabilities, but also prioritize user-friendly features.
View Article and Find Full Text PDFCommun Eng
December 2024
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China.
Continuous monitoring of nocturnal blood pressure is crucial for hypertension management and cardiovascular risk assessment. However, current clinical methods are invasive and discomforting, posing challenges. These traditional techniques often disrupt sleep, impacting patient compliance and measurement accuracy.
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