Journal of Medical Internet Research

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Perceptions of Illness Control, Coherence, and Self-Efficacy Following a Web-Based Lifestyle Program for Multiple Sclerosis: A Qualitative Analysis of Semistructured Interviews

People living with multiple sclerosis (MS) are tasked with adjusting to substantial prognostic uncertainty, in the absence of clarity regarding the etiology of symptoms and without access to a cure. Critical events, such as receiving an MS diagnosis and ongoing illness stressors, can disrupt emotional equilibrium [1]. It is well established that depressive, anxiety, and stress symptoms are highly prevalent in the population with MS [2].

Rebekah Davenport, William Bevens, Sandra Neate, Pia Jelinek, Maggie Yu, George Jelinek, Jeanette Reece

J Med Internet Res 2024;26:e60240

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Assessing the Impact of the Mindfulness-Based Body Scan Technique on Sleep Quality in Multiple Sclerosis Using Objective and Subjective Assessment Tools: Single-Case Study

Multiple sclerosis (MS) is an autoimmune disorder that affects the central nervous system (CNS), characterized by neuroinflammation, demyelination, neuronal loss, and gliosis, primarily mediated by T and B lymphocytes [1]. Patients with MS experience significant sleep disturbances, far exceeding those of the general population [2].

Ioannis Iliakis, Maria Anagnostouli, George Chrousos

JMIR Form Res 2024;8:e55408

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Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study

The final use cases for MS are as follows: Detecting silent progression: making use of more granular measurements to detect otherwise invisible markers of progression, enabling patients to evidence changes they experience. Detecting depression: identifying markers of depression in the first year after MS diagnosis. Data donation: automatic collection and storage of patient data in biobanks or mega-databases.

Jacob A Andrews, Michael P Craven, Boliang Guo, Janice Weyer, Simon Lees, Spyridon I Zormpas, Sarah E Thorpe, Julie Devonshire, Victoria San Antonio-Arce, William P Whitehouse, Jessica Julie, Sam Malins, Alexander Hammers, Andreas Reif, Henricus G Ruhe, Federico Durbano, Stefano Barlati, Arjune Sen, Jette L Frederiksen, Alessandra Martinelli, Antonio Callen, Joan Torras-Borrell, Nuria Berrocal-Izquierdo, Ana Zabalza, Richard Morriss, Chris Hollis, The RADAR-CNS Consortium

JMIR Neurotech 2023;2:e41439

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Attrition Within Digital Health Interventions for People With Multiple Sclerosis: Systematic Review and Meta-analysis

Multiple sclerosis (MS) is a chronic neurological disease that affects over 2 million people globally [1]. The disease course of MS is highly variable and can be associated with a progressive decline in physical and cognitive function. The current treatment for MS involves the use of disease-modifying treatments and symptom management; however, the delivery of health care for MS is becoming increasingly supported by digital health interventions.

William Bevens, Tracey Weiland, Kathleen Gray, George Jelinek, Sandra Neate, Steve Simpson-Yap

J Med Internet Res 2022;24(2):e27735

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