Background: Resource-poor individuals, such as those with a low income, are disproportionately affected by diabetes and unhealthy eating patterns that contribute to poor disease self-management and prognosis. Digitally delivered interventions have the potential to address some of the barriers to healthy eating experienced by this group. However, little is known about their effectiveness in disadvantaged populations.
Objective: This systematic review is conducted to assess the effectiveness of digitally delivered interventions in improving nutritional behaviors and nutrition-related health outcomes among disadvantaged people with type 2 diabetes (T2D).
Methods: MEDLINE complete, Global Health, Embase, CINAHL complete, Informit Health, IEEE Xplore, and Applied Science and Technology Source databases were searched for studies published between 1990 and 2022 on digitally delivered nutrition interventions for disadvantaged people with T2D. Two reviewers independently assessed the studies for eligibility and determined the study quality using the Cochrane Risk-of-Bias Assessment Tool. The Behavioral Change Technique Taxonomy V1 was used to identify behavior change techniques used in the design of interventions.
Results: Of the 2434 identified records, 10 (0.4%), comprising 947 participants, met the eligibility criteria and were included in the review. A total of 2 digital platforms, web and messaging services (eg, SMS text messaging interventions or multimedia messaging service), were used to deliver interventions. Substantial improvements in dietary behaviors were reported in 5 (50%) of the 10 studies, representing improvements in healthier food choices or increases in dietary knowledge and skills or self-efficacy. Of the 10 studies, 7 (70%) examined changes in blood glucose levels, of which 4 (57%) out of 7 achieved significant decreases in hemoglobin A levels ranging from 0.3% to 1.8%. The most frequently identified behavior change techniques across all studies were instruction on how to perform the behavior, information about health consequences, and social support.
Conclusions: This review provided some support for the efficacy of digitally delivered interventions in improving healthy eating behaviors in disadvantaged people with T2D, an essential dietary prerequisite for changes in clinical metabolic parameters. Further research is needed into how disadvantaged people with T2D may benefit more from digital approaches and to identify the specific features of effective digital interventions for supporting healthy behaviors among disadvantaged populations.
Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42020149844; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=149844.
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http://dx.doi.org/10.2196/42595 | DOI Listing |
Sci Rep
January 2025
Lyra Health, 270 East Ln, Burlingame, CA, 94010, USA.
Blended care therapy (BCT), which augments live, video-based psychotherapy sessions with asynchronous digital tools, has the potential to increase access to evidence-based treatments for posttraumatic stress disorder (PTSD). However, its effectiveness in diverse, real-world settings is not well-understood. This evaluation aimed to assess clinical outcomes of a BCT program for PTSD symptoms.
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January 2025
Graduate Program in Electrical and Computer Engineering, Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba, 80230-901, Brazil.
Modeling the Digital Twin (DT) is an important resource for accurately representing the physical entity, enabling it to deliver functional services, meet application requirements, and address the disturbances between the physical and digital realms. This article introduces the Log Mean Kinematics Difference Synchronization (SyncLMKD) to measure the kinematic variations distributed among Digital Twin elements to ensure symmetric values relative to a reference. The proposed method employs abductive reasoning and draws inspiration from the Log Mean Temperature Difference (LMTD).
View Article and Find Full Text PDFNeurogastroenterol Motil
January 2025
Faculty of Medicine, Centre for Health Services Research, Centre for Online Health, The University of Queensland, Woolloongabba, Queensland, Australia.
Background: Multidisciplinary integrated models of care show promise for improving symptoms and quality of life (QoL) in adults with irritable bowel syndrome (IBS).
Aims: To describe and evaluate the characteristics of integrated models of care for IBS and identify how digital health is being used in these models of care.
Methods: Four databases were searched to March 2024 for studies that included adults with IBS who participated in multidisciplinary integrated models of care that delivered non-pharmacological therapies.
Background: Interest in use of digital technology to advance AD/ADRD research has been growing exponentially over the last few years. This acceleration is fueled in part by growing awareness that both well used research methods as well as newer biomarker approaches are 1) inadequate for clinical symptom detection in the earliest stages of an insidious onset disease and 2) have resulted in inaccurate as well as biased data that is generating treatment and prevention solutions that are insufficiently relevant to some and potentially not relevant to many.
Methods: Sensors embedded in mobile devices such as smartphones and wearables deliver a high penetration, low-cost solution for overcoming previous limitations of early detection sensitivity and limited representative reach.
Alzheimers Dement
December 2024
Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.
A critical need exists to find simpler approaches for early detection of Alzheimer disease (AD) and related dementias. These approaches must increase access to preventative interventions and treatments, both pharmacological and non-pharmacological, for people in preclinical and prodromal stages of disease. This need has been amplified by the emergence of disease modifying therapies (DMTs), which require biological confirmation of amyloid-ß positivity.
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