The unique role of smartphone addiction and related factors among university students: a model based on cross-sectional and cross-lagged network analyses

BMC Psychiatry. 2023 Nov 27;23(1):883. doi: 10.1186/s12888-023-05384-6. ABSTRACT Smartphone addiction is a global problem affecting university students. Previous studies have explored smartphone addiction and related factors using latent variables. In contrast, this study examines the role of smartphone addiction and related factors among university students using a cross-sectional and cross-lagged panel network analysis model at […]

Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study

J Med Internet Res. 2023 Nov 28;25:e50886. doi: 10.2196/50886. ABSTRACT BACKGROUND: Rapid digitalization in health care has led to the adoption of digital technologies; however, limited trust in internet-based health decisions and the need for technical personnel hinder the use of smartphones and machine learning applications. To address this, automated machine learning (AutoML) is a […]

The feasibility, acceptability and efficacy of an app-based intervention (the Coping Camp) in reducing stress among Chinese school adolescents: A cluster randomised controlled trial

PLoS One. 2023 Nov 27;18(11):e0294119. doi: 10.1371/journal.pone.0294119. eCollection 2023. ABSTRACT OBJECTIVES: This study aimed to determine the efficacies of the Coping Camp app in reducing stress, depression, and anxiety and improving stress-coping behaviours and mental health wellbeing. Additionally, feasibility and acceptability of Coping Camp were evaluated. METHODS: In this unblinded cluster RCT, 540 participants from […]

Co-design of a Mobile App for Engaging Breast Cancer Patients in Reporting Health Experiences: Qualitative Case Study

J Med Internet Res. 2023 Nov 27;25:e45968. doi: 10.2196/45968. ABSTRACT BACKGROUND: The World Health Organization recommends incorporating patient-reported experience measures and patient-reported outcome measures to ensure care processes. New technologies, such as mobile apps, could help report and monitor patients’ adverse effects and doubts during treatment. However, engaging patients in the daily use of mobile […]

Reliability of Self-Screening for Intrinsic Capacity Impairments Using the ICOPE Monitor App

J Frailty Aging. 2023;12(4):291-297. doi: 10.14283/jfa.2023.34. ABSTRACT AIM: To verify the inter-rater agreement of the Integrated Care for Older People (ICOPE) STEP 1 screening tool using the ICOPE Monitor app, comparing self-assessment to a screening performed by a health professional. METHODS: We compared the results of the ICOPE Step 1 obtained by self-screening with those […]

The efficacy of a blended intervention to improve physical activity and protein intake for optimal physical recovery after oncological gastrointestinal and lung cancer surgery, the Optimal Physical Recovery After Hospitalization (OPRAH) trial: study protocol for a randomized controlled multicenter trial

Trials. 2023 Nov 27;24(1):757. doi: 10.1186/s13063-023-07705-2. ABSTRACT BACKGROUND: Improving physical activity, especially in combination with optimizing protein intake, after surgery has a potential positive effect on recovery of physical functioning in patients after gastrointestinal and lung cancer surgery. The aim of this randomized controlled trial is to evaluate the efficacy of a blended intervention to […]

Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players

Sci Rep. 2023 Nov 25;13(1):20734. doi: 10.1038/s41598-023-48055-y. ABSTRACT Digital anthropometry by three-dimensional optical imaging systems and smartphones has recently been shown to provide non-invasive, precise, and accurate anthropometric and body composition measurements. To our knowledge, no previous study performed smartphone-based digital anthropometric assessments in young athletes. The aim of this study was to investigate the […]

Smartphone-integrated ratiometric fluorescence sensing platform based on bimetallic metal-organic framework nanowires for anthrax biomarker detection

Mikrochim Acta. 2023 Nov 25;190(12):484. doi: 10.1007/s00604-023-06065-7. ABSTRACT Developing an intelligent, sensitive, and visual strategy for quickly identifying anthrax biomarkers is crucial for ensuring food safety and preventing disease outbreaks. Herein, a smartphone-integrated ratiometric fluorescent sensing platform based on bimetallic metal-organic framework (Eux/Tb1-x-MOF) nanowires was designed for specific recognition of pyridine-2,6-dicarboxylic acid (DPA, anthrax biomarker). […]

Fluctuations in Upper and Lower Body Movement during Walking in Normal Pressure Hydrocephalus and Parkinson’s Disease Assessed by Motion Capture with a Smartphone Application, TDPT-GT

Sensors (Basel). 2023 Nov 18;23(22):9263. doi: 10.3390/s23229263. ABSTRACT We aimed to capture the fluctuations in the dynamics of body positions and find the characteristics of them in patients with idiopathic normal pressure hydrocephalus (iNPH) and Parkinson’s disease (PD). With the motion-capture application (TDPT-GT) generating 30 Hz coordinates at 27 points on the body, walking in […]

A Hand-Held Platform for Boar Sperm Viability Diagnosis Based on Smartphone

Biosensors (Basel). 2023 Nov 8;13(11):978. doi: 10.3390/bios13110978. ABSTRACT The swine fever virus seriously affects pork production, and to improve pork production, pig breeding efficiency needs to be improved, and the detection of boar sperm activity is an important part of the pig breeding process. Traditional laboratory testing methods rely on bulky testing equipment, such as […]