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Individualized morphological covariation network aberrance associated with seizure relapse after antiseizure medication withdrawal.
Neurol Sci
January 2025
Epilepsy Center, Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
This study intents to detect graphical network features associated with seizure relapse following antiseizure medication (ASM) withdrawal. Twenty-four patients remaining seizure-free (SF-group) and 22 experiencing seizure relapse (SR-group) following ASM withdrawal as well as 46 matched healthy participants (Control) were included. Individualized morphological similarity network was constructed using T1-weighted images, and graphic metrics were compared between groups.
View Article and Find Full Text PDFChallenges to Cardiovascular Health Among Female U.S. Veterans and Future Implications: A Scoping Review.
Mil Med
January 2025
Veterans Affairs Quality Scholars Fellowship, Ralph H. Johnson VA Medical Center, Charleston, SC 29412, USA.
Introduction: Cardiovascular disease (CVD) is the leading cause of death for women in the United States, and U.S. female Veterans have higher rates of CVD compared to civilian women.
View Article and Find Full Text PDF"Listening to understand," exploring postpartum women's perceptions of their social networks and social support in relation to their health behaviors and weight: A qualitative exploratory study.
Womens Health (Lond)
January 2025
College of Nursing, University of Utah, Salt Lake City, UT, USA.
Background: Postpartum is a critical period to interrupt weight gain across the lifespan, decrease weight-related risk in future pregnancies, promote healthy behaviors that are often adopted during pregnancy, and improve long-term health. Because the postpartum period is marked by unique challenges to a person's ability to prioritize healthy behaviors, a multi-level/domain approach to intervention beyond the individual-level factors of diet and activity is needed.
Objectives: The purpose of this study was to understand postpartum people's perceptions about the relationship between their social networks and support, and their health behaviors and weight.
Association of smartphone and internet addiction with mental health during the COVID-19 pandemic: A systematic review and meta-analysis.
Int J Soc Psychiatry
January 2025
Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam.
Background: Excessive use of smartphones and the Internet can lead to addiction and may increase the risk of developing mental disorders, particularly in the context of the COVID-19 outbreak.
Objective: This systematic review and meta-analysis synthesized the existing literature reporting the impact of smartphone and Internet addiction on mental health during the COVID-19 pandemic.
Methods: A systematic search was performed on two databases, PubMed and EMBASE, following the PRISMA guidelines to identify articles conducted from December 2019 when the COVID-19 pandemic began to emerge.
The Evidence-Based Medicine Management of Endometriosis Should Be Updated for the Limitations of Trial Evidence, the Multivariability of Decisions, Collective Experience, Heuristics, and Bayesian Thinking.
J Clin Med
January 2025
Department of Operative Gynecology, Federal State Budget Institution V. I. Kulakov Research Centre for Obstetrics, Gynecology, and Perinatology, Ministry of Health of the Russian Federation, 117997 Moscow, Russia.
: The diagnosis and treatment of endometriosis should be based on the best available evidence. Emphasising the risk of bias, the pyramid of evidence has the double-blind, randomised controlled trial and its meta-analyses on top. After the grading of all evidence by a group of experts, clinical guidelines are formulated using well-defined rules.
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