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Association between e-health literacy and perceived importance of future pandemic preparedness in sub-saharan Africa.
Sci Rep
December 2024
School of Nursing, Johns Hopkins University, Baltimore, MD, USA.
Introduction: Emerging and re-emerging infectious diseases continue to pose a severe threat to public health in Sub-Saharan Africa (SSA) and globally. Community-related interventions, such as community e-Health literacy, can contribute to the preparedness to respond effectively to emerging and re-emerging infectious diseases. This study investigated the relationship between e-Health literacy and SSA countries' perceptions of the importance of readiness for potential pandemics.
View Article and Find Full Text PDFEnhancing assessment for eating disorders: the impact of a podcast-based pre-treatment psychoeducation intervention.
Eat Disord
December 2024
Department of Psychology, University of Sheffield, Sheffield, UK.
This study reports the outcome of a low intensity pre-treatment intervention (a guided e-health podcast) for patients with anorexia nervosa and bulimia nervosa, delivered between assessment and the start of the full outpatient treatment programme. A case series design was used. A total of 254 patients at a specialist eating disorder service were offered a pre-treatment three-week psychoeducational intervention (Keeping Myself Safe; KMS), and 203 undertook the intervention.
View Article and Find Full Text PDFDiagnostic accuracy of neonatal structural MRI scores to predict 6-year motor outcomes of children born very preterm.
Neuroimage Clin
December 2024
Child Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Australia; Physiotherapy Department, Queensland Children's Hospital, Children's Health Queensland Hospital and Health Service, Brisbane, Australia.
Aims: This study aimed to (1) evaluate associations between Early and Term structural MRI (sMRI) brain abnormality scores and adverse motor outcomes at 6-years corrected age (CA), (2) determine their diagnostic accuracy in predicting adverse motor outcomes and cerebral palsy (CP) at 6-years CA.
Methods: Infants born < 31-weeks gestational age (GA) returning for 6-year follow-up were included. Early and Term sMRI were scored using a validated method, deriving white matter, cortical grey matter, deep grey matter, cerebellar and global brain abnormality scores (GBAS).
Exploring phenotypes to improve long-term mortality risk stratification in obstructive sleep apnea through a machine learning approach: an observational cohort study.
Eur J Intern Med
December 2024
Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy; Department of Specialistic Medicine, Pulmonary and Critical Care Unit, University-Hospital Polyclinic of Foggia, Foggia, Italy.
Background: Obstructive sleep apnea (OSA) is a heterogeneous sleep disorder for which the identification of phenotypes might help for risk stratification for long-term mortality. Thus, the aim of the study was to identify distinct phenotypes of OSA and to study the association of phenotypes features with long-term mortality by using machine learning.
Methods: This retrospective study included patients diagnosed with OSA who completed a 15-year follow-up and were adherent to continuous positive airway pressure (CPAP) therapy.
Online diabetes self-management education application for reducing glycated hemoglobin level among patients with type 1 diabetes mellitus: a systematic review and meta-analysis.
Clin Diabetes Endocrinol
December 2024
Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Background: This meta-analysis study aims to evaluate the Diabetes Self-Management Education and Support (DSMES) online application for reducing glycated hemoglobin levels among patients with type 1 diabetes mellitus (T1DM) patients.
Main Text: The Web of Science (WoS), Cochrane Library, PubMed, Scopus, PROSPERO, and EMBASE databases were searched with Medical Subject Headings (MeSH) terms without minimum time limitation until February 2024. To be eligible, all the following predefined inclusion criteria must have been met in the original randomized controlled trial (RCT) studies without language limitation including T1DM, patients, online digital interventions such as web-based, mobile health applications, or e-health, 3 or more months follow-up, and measuring HbA1c.
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