Mobile health has the potential to transform the management of chronic illnesses, expanding treatment from a purely clinic-based approach to a more patient-centered delivery of care. For patients with inflammatory bowel disease (IBD), a condition characterized by a relapsing and remitting course, adoption of mobile health strategies can promote improved quality of care delivery and clinical outcomes. Benefits of mobile health applications for IBD include tracking symptoms to guide disease management, coordinating data exchange across clinical care providers, increasing communication between patients and the care team, and providing educational materials to increase patient engagement and satisfaction. In this review, we present the current offerings for telemedicine systems and mobile applications designed for patients with IBD and discuss the potential advantages and limitations of utilizing mobile health in the care of these patients.
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http://dx.doi.org/10.3390/diagnostics13010037 | DOI Listing |
Background/aims: Certain sociodemographic groups are routinely underrepresented in clinical trials, limiting generalisability. Here, we describe the extent to which enriched enrolment approaches yielded a diverse trial population enriched for older age in a randomised controlled trial of a blood-based multi-cancer early detection test (NCT05611632).
Methods: Participants aged 50-77 years were recruited from eight Cancer Alliance regions in England.
Nutrients
January 2025
Basic and Applied Laboratory for Dietary Interventions in Exercise and Sport, Department of Health, Kinesiology, and Sport, University of South Alabama, Mobile, AL 36688, USA.
Background: Breakfast is often termed the most important meal of the day. However, its importance to acute and chronic adaptations to exercise is currently not well summarized throughout the literature.
Methods: A narrative review of the experimental literature regarding breakfast consumption's impact on acute and chronic exercise performance and alterations in body composition prior to November 2024 was conducted.
Nutrients
January 2025
Diabetes and Endocrine Service, Liverpool Hospital, Sydney, NSW 2170, Australia.
Background: The optimal application of medical nutrition therapy (MNT) in treating gestational diabetes remains uncertain. MNT involves individualised nutrition assessment and counselling, which is labour-intensive and is not the sole type of intervention offered by clinical dietitians.
Objective: To determine whether pregnancy outcomes differed for individuals with gestational diabetes who were offered MNT on a risk-prioritised (RP) versus universal basis.
Nutrients
January 2025
Department of Community Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.
Background/objectives: This study aimed to investigate the lifestyle and the behavioral factors that influence the nutritional status of adolescents from Transylvania, Romania.
Methods: The Global School-Based Student Health Survey (GSHS) was used to collect data from 900 adolescents between 11 and 18 years old from the Transylvania region, Romania. This study assessed nutritional status by calculating BMI indicators adjusted to Z-Score, cut-off points according to the World Health Organization (WHO), using self-reported weight and height; perceived health status; food vulnerability; physical activity; addictive behaviors (cigarette, alcohol and drug consumption); number of hours spent in front of the computer/phone; hand and oral hygiene; sitting time/day; and sleep.
Sensors (Basel)
January 2025
Centre for Automation and Robotics (CAR UPM-CSIC), Escuela Técnica Superior de Ingeniería y Diseño Industrial (ETSIDI), Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain.
Analysis of the human gait represents a fundamental area of investigation within the broader domains of biomechanics, clinical research, and numerous other interdisciplinary fields. The progression of visual sensor technology and machine learning algorithms has enabled substantial developments in the creation of human gait analysis systems. This paper presents a comprehensive review of the advancements and recent findings in the field of vision-based human gait analysis systems over the past five years, with a special emphasis on the role of vision sensors, machine learning algorithms, and technological innovations.
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