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Stereotactic body radiotherapy for non-spine bone metastases: A meta-analysis and international stereotactic radiosurgery society (ISRS) clinical practice guidelines.
Radiother Oncol
January 2025
The Royal Marsden NHS Foundation Trust, Sutton, UK; The Institute of Cancer Research, Sutton, UK.
Background: While SBRT to NSBM has become common, particularly in the oligometastatic population, the approach to treating non-spine bone metastases (NSBM) with stereotactic body radiotherapy (SBRT) varies widely across institutions and clinical trial protocols. We present a comprehensive systematic review of the literatures to inform practice recommendations on behalf of the International Stereotactic Radiosurgery Society (ISRS).
Methods: A systematic literature review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
I/D Genotype and Risk of Non-Contact Injury in Moroccan Elite Athletes: A Pilot Study.
Medicina (Kaunas)
January 2025
M2S (Laboratoire Mouvement, Sport, Santé)-EA 1274, University Rennes, 35000 Rennes, France.
The insertion/deletion (I/D) polymorphism in , the gene encoding the angiotensin-converting enzyme (ACE), has been suggested as a genetic variation that can influence exercise performance and risk of injury in elite athletes. The I allele has been associated with enhanced endurance performance and with reduced inflammation, while the D allele has been associated with improved performance in strength and power activities. However, the role of this genetic variant in the incidence of non-contact injury is underexplored.
View Article and Find Full Text PDFExploring the Roles of Trust, Attitudes, and Motivations in COVID-19 Decision-Making and Vaccination Likelihood: Insights from the Louisiana Community Engagement Alliance (LA-CEAL) Community-Academic-Public Health-Practice (CAPP) Partnership.
Int J Environ Res Public Health
December 2024
RCMI Center for Cancer and Health Disparities, Center for Minority Health and Health Disparities Research and Education, College of Pharmacy, Xavier University of Louisiana, New Orleans, LA 70125, USA.
Given the increasing integration of trusted leaders in public health science, including vaccination programs, context-specific understandings of community perceptions and levels of trust are critical to intervention. This study aimed to understand the perspectives and attitudes of the southeastern Louisiana community and inform the development of a community-engaged action plan. A cross-sectional survey of 555 southeastern Louisianans-including faith-based organization (FBO) members, community pharmacy (CommRx) customers, community-based organization (CBO) contacts, and Louisiana community-dwelling residents-was conducted from November 2020 to March 2021.
View Article and Find Full Text PDFThe Moderating Role of Social Capital Between Parenting Stress and Mental Health and Well-Being Among Working Mothers in China.
Healthcare (Basel)
January 2025
Department of Social Work, Academy of Wellness and Human Development, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Hong Kong, China.
Unlabelled: Rapid economic growth has transformed social and family structure globally, including in China, over the past few decades. With women's engagement in the workforce, the dual demand of paid and domestic work has become a major source of stress, particularly among mothers. Working mothers face unique challenges of family obligations blended with contemporary values of women's career aspirations.
View Article and Find Full Text PDFThe association of lifestyle with cardiovascular and all-cause mortality based on machine learning: a prospective study from the NHANES.
BMC Public Health
January 2025
Department of Health Management of Public Health, College of Public Health, Zhengzhou University, 100 Kexue Road, Gaoxin district, Zhengzhou, 450001, Henan, China.
Background: Lifestyle and cardiovascular mortality and all-cause mortality have been exhaustively explored by traditional methods, but the advantages of machine learning (ML) over traditional methods may lead to different or more precise conclusions. The aim of this study was to evaluate the effectiveness of machine learning-based lifestyle factors in predicting cardiovascular and all-cause mortality and compare the results obtained by traditional methods.
Method: A prospective cohort study was conducted using a nationally representative sample of adults aged 40 years or older, drawn from the US National Health and Nutrition Examination Survey from 2007 to 2010.
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