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Maternal Smartphone Use and Regulatory Disorders of the Infant: A Post Hoc Analysis of the SKKIPPI Cohort Study.

BACKGROUND/OBJECTIVES: Infant regulatory disorders (RDs) describe the infants' difficulties in regulating their physiological and emotional states, manifesting in problems with sleeping, feeding, or excessive crying. A post hoc analysis of data from the German SKKIPPI cohort study investigated the association of maternal smartphone use and the occurrence of RDs. METHODS: In a randomly drawn sample from three local population registers, a self-administered online questionnaire was used to collect basic sociodemographic data, smartphone use behavior and the mother's subjective perception of the…

An Exploratory Evaluation of an Interactive Smartphone-Based Telephysiotherapy Application for Temporomandibular Disorders: A Multicentre Observational Study.

BACKGROUND: Telerehabilitation may support adherence to home exercise for the management of temporomandibular disorders (TMDs), yet the usability and user satisfaction with dedicated smartphone applications remain underexplored. OBJECTIVE: The primary aim of this multicentre prospective, observational, and exploratory study was to assess patient-reported satisfaction, motivation/self-efficacy, adherence, usability, and user-friendliness related to a home exercise program for temporomandibular disorders delivered through a smartphone application (MedicApp). The secondary aim was to evaluate de…

Network analysis of problematic smartphone use, depression, and anxiety, and their relationships with mindfulness among medical students.

Previous studies have uncovered a negative correlation between problematic smartphone use (PSU) and both depression and anxiety, yet the investigation of PSU with depression and anxiety on a symptomatic level among medical students remains limited. This study aims to analyze the network structure of PSU and its relation to symptoms of depression and anxiety, as well as examine the role of mindfulness among these factors. A sample of 456 medical students was assessed using the Smartphone Addiction Scale - Short Version (SAS-SV), the nine-item Patient Health Questionnaire (PHQ-9), the seven-item…

Evaluation of a smartphone-based markerless system to measure lower-limb kinematics in patients with knee osteoarthritis.

OpenCap, a smartphone-based markerless system, offers a cost-effective alternative to traditional marker-based systems for gait analysis. However, its kinematic measurement accuracy must be evaluated before widespread use in clinical practice. This study aimed to evaluate OpenCap for lower-limb joint angle measurements during walking in patients with knee osteoarthritis (OA) and to compare error metrics between patients and healthy controls. Lower-limb kinematic data were simultaneously collected from 53 patients with knee OA and 30 healthy individuals using OpenCap and a marker-based motion c…

Predictors of smartphone addiction in adolescents with depression: combing the machine learning and moderated mediation model approach.

Smartphone addiction (SA) significantly impacts the physical and mental health of adolescents, and can further exacerbate existing mental health issues in those with depression. However, fewer studies have focused on the predictors of SA in adolescents with depression. This study employs machine learning methods to identify key risk factors for SA, using the interpretable SHapley Additive exPlanations (SHAP) method to enhance interpretability. Additionally, by constructing a mediation moderation model, the interactions between significant risk factors are analyzed. The study included 2203 adol…

Smartphone self-testing of hand and speech motor functions: a study of reliability and usability in older adults.

Scalable remote-monitoring tools of motor function are vital for early detection and tracking of neurodegenerative diseases. This study evaluated the reliability and usability of TapTalk, a 2-min validated smartphone-based self-assessment of hand and speech motor function, in older adults. Community-dwelling adults aged 50 + completed TapTalk daily for 7 days: once in the research center and six consecutive days at home. Motor features were extracted using validated algorithms. Test-retest reliability was analyzed using intraclass correlation coefficient (ICC) and usability via descriptive ana…

Engagement and predictors of use of a smartphone app for migraine self-management: A secondary analysis of the EMMA trial.

OBJECTIVE: The objective of this secondary analysis was to examine engagement with a mobile app for migraine self-management and to identify … and trigger diary modules of a migraine app over 6 months. These findings support the potential of smartphone apps to improve adherence to headache self-monitoring. However, engagement with the behavioral self-management modules was lower than intended, highlighting the persistent challenge of promoting adherence to behavioral migraine interventions. TRIAL …

Smartphone-assisted HPTLC for simultaneous determination of vonoprazan fumarate and aspirin: a comparative study with HPTLC densitometry.

Smartphone-assisted HPTLC/Image J and HPTLC densitometric methods were developed and validated for the simultaneous determination of vonoprazan fumarate VON and aspirin ASP. Chromatographic separation was carried out using a mobile phase composed of methylene chloride, methanol, and glacial acetic acid in a 60:40:2.0 v/v ratio, yielding well-resolved and symmetric peaks with retention factor Rf values of 0.45 for VON and 0.75 for ASP. Densitometric analysis of chromatograms was performed at 270 nm, showing linearity in the range of 2.0-10 µg/band for VON and 5.0-25 µg/band for ASP. For the sma…

Development of a smartphone-based app to support the differential diagnosis in patients with primary left ventricular hypertrophy.

AIMS: Patients with primary left ventricular hypertrophy (LVH) often experience a diagnostic delay of several years, largely related to fragmented knowledge among different specialties and the rarity of the conditions. We developed and validated a digital support tool to guide the physician in the differential diagnostic process of patients presenting with primary LVH. METHODS AND RESULTS: A total of 818 patients with definitive diagnosis of sarcomeric hypertrophic cardiomyopathy (HCM) or one of its phenocopies [479 (62%) males, 48 ± 24 years] were included. Pre-specified disease-specific red

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review.

BACKGROUND: Mental health issues have become a significant global public health challenge. Traditional assessments rely on subjective methods with limited ecological validity. Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. OBJECTIVE: This study aimed to provide a comprehensive review of the current state of passive sensing-based and ML technologies for mental health monitoring. We summarized the technical approaches, revealed the association patterns between behavioral features…

A novel flow through assay and smartphone application based prototype for point-of-care diagnosis of tuberculosis.

Affordable point-of-care test sensors with automated result recording are essential for reducing undetected tuberculosis cases in remote, re … within 15 min at the point-of-care, while also reducing assay costs by 70 %. Lastly, we developed a smartphone application (RAP-TBS) to provide quantitative analysis of the flow-through assay results. This user-friendly app requires no additional hardware and addresses the limitations of subjective visual interpretation.

CoGames: Разработка адаптивного инструмента мониторинга на основе смартфонов и gamified для когнитивной функции в мультипликационном склерозе.

AIM: В рамках разработки приложения на основе смартфонов для мониторинга активности и прогрессирования заболеваний MS (DreaMS, DREAMS). NCT05009160), мы разработали six gamificed tests с множественным уровнем сложности в качестве инструмента контроля за когницией. В этом исследовании была проведена количественная оценка относительной сложности между уровнями и были проанализированы их надежность, способность изображать практические последствия и приемлемость для пользователей. МЕТОДЫ: Здоровые добровольцы играли в каждую игру, освещая five Когнитивные области, дважды в день для 11 Непрерывные

Совпадение в аннотации оригинала
AIM: As part of the development of a smartphone-based app for monitoring MS disease activity and progression (dreaMS, NCT05009160), we developed six gamified tests with multiple difficulty levels as a monitoring tool for cognition. This study quantified the relative difficulty between levels and investigated their reliability, ability to depict practice effe…

Text neck is not associated with neck and upper limb disability in young adults who use smartphones.

PURPOSE: The objective of the present study was to correlate neck and upper-limb disabilities with neck flexion in university students who are smartphone users. While handling smartphones, a posture with sustained neck flexion known as "Text Neck" is usually adopted, and some authors related to musculoskeletal symptoms on the neck and the upper limb. However, recent studies state that such an association is questionable. METHODS: This is an observational study when evaluating 192 university students through questionnaires such as the Neck Disability Index (NDI), Disabilities of Arm, Shoulder,…

Evaluation of a new portable corneal topography system for self-measurement using smartphones: a pilot study.

PURPOSE: Herein, we propose the use of the "KeraVio Ring", which is a portable, selfie-based, smartphone-attached corneal topography system that is based on the Placido ring videokeratoscope. The goal of this study was to evaluate and compare corneal parameters between KeraVio Ring and conventional corneal tomography images. METHODS: We designed the KeraVio Ring as a device comprising 3D-printed LED rings for generating Placido rings that can be attached to a smartphone. Two LED rings are attached to a cone-shaped device, and both corneas are illuminated. Selfies were taken using the KeraVio …

Development of a smartphone-integrated handheld automated biochemical analyzer for point-of-care testing of urinary albumin.

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-in…

A smartphone sensing platform for the sensitive and selective detection of clothianidin based on MIP-functionalized lanthanide MOF.

A novel molecularly imprinted nanomaterial (Eu (BTC)-MPS@MIP) was synthesized on the surface of silanized europium-based metal-organic frameworks (Eu (BTC)-MPS) using 1, 3, 5-benzotrioic acid (H3BTC) as a ligand. The resulting Eu (BTC)-MPS@MIP was applied to constructing a smartphone sensing platform for the sensitive and selective detection of clothianidin (CLT) in vegetables. The synthesized Eu (BTC)-MPS@MIP demonstrated the successful formation of a typical core-shell structure featuring a shell thickness of approximately 70 - 80 nm. The developed sensing platform based on Eu (BTC)-MPS@MIP …

The fear of smartphone notifications and calls among medical students: The phone ring phobia syndrome or telephobia.

BACKGROUND: Telephobia is a kind of anxiety disorder in which the individual is afraid of either answering or making telephone calls. This study was conducted to determine the prevalence of telephobia among medical students and to determine the association of socio-demographic and other factors with this disorder. METHODS: A total of 320 undergraduate medical students were enrolled at a tertiary medical college in Western India, of which 300 (93.75%) responded to the survey. A stratified sampling strategy with the proportional allocation method was used in which 40 males and 20 females were s

Smartphone-based fundus imaging for evaluation of Retinopathy of Prematurity in a low-income country: A pilot study.

OBJECTIVES: To evaluate the feasibility of a novel and simple smart phone-based Retinopathy of Prematurity (ROP) screening approach in a res … cellent / acceptable respectively. CONCLUSIONS: High quality retinal images can be captured with a smartphone and 28D lens without using any additional adapter equipment. This approach of ROP screening can form basis of telemedicine for ROP in resource constrained areas.

iBehavior - A Smartphone-Based Ecological Momentary Assessment Tool for the Assessment of Behavior Change in Neurodevelopmental Disorders.

The purpose of the present study was to describe the content and function of iBehavior, a smartphone-based caregiver-report electronic ecological momentary assessment (eEMA) tool developed to assess and track behavior change in people with intellectual and developmental disabilities (IDDs), and to examine its preliminary validity. Ten parents of children (ages of 5-17 years) with IDDs (n = 7 with fragile X syndrome; n = 3 with Down syndrome) rated their child's behavior (aggression and irritability, avoidant and fearful behavior, restricted and repetitive behavior and interests, and social ini…