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The Relationship Between Body Mass Index and Peripheral Artery Disease: Insights from the National Health and Nutrition Examination Survey and Mendelian Randomization Analysis.
J Surg Res
January 2025
School of Medicine, Tongji University, Shanghai, China; Department of Health Statistics, Navy Medical University, Shanghai, China. Electronic address:
Introduction: Body mass index (BMI) has been implicated in various cardiovascular conditions, but its association with peripheral artery disease (PAD) in both real-world and genetic studies have been contentious and debated.
Methods: This study enrolled 6707 individuals from the National Health and Nutrition Examination Survey database to investigate the association between BMI and the risk of PAD. The weighted logistic regression, restricted cubic spline, and subgroup analysis were performed using real-world data.
The role of inflammatory factors in mediating the causal effects of type 1 diabetes mellitus on idiopathic pulmonary fibrosis: A two-step Mendelian randomization study.
Medicine (Baltimore)
January 2025
Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
While recent studies suggested a potential causal link between type 1 diabetes mellitus (T1DM) but not type 2 diabetes mellitus (T2DM) and idiopathic pulmonary fibrosis (IPF), the involved mechanism remains unclear. Here, using a Mendelian randomization (MR) approach, we verified the causal relationship between the two types of diabetes mellitus and IPF and investigated the possible role of inflammation in the association between diabetes mellitus and IPF. Based on genome-wide association study (GWAS) summary data of T1DM, T2DM, and IPF, the univariable MR, multivariable MR (MVMR), and mediation MR were successively used to analyze the causal relationship.
View Article and Find Full Text PDFDirect and indirect association of domestic violence against women and severe maternal morbidity: A case-control study.
Medicine (Baltimore)
January 2025
School of Nursing and Midwifery, University College Cork, Cork, Ireland.
This study aimed to investigate the direct association between domestic violence and the indirect association of exposure through pregnancy, delivery, and neonatal risk factors with severe maternal morbidity (SMM). The target population of this case-control study included all women who gave birth in the hospitals of the Torbat Heidarieh University of Medical Science from June 2018 to May 2020. A total of 123 mothers with SMM according to the World Health Organization criteria were selected as cases, and 127 mothers who did not meet the World Health Organization criteria were included in the control group.
View Article and Find Full Text PDFDigital Mindfulness Training for Burnout Reduction in Physicians: Clinician-Driven Approach.
JMIR Form Res
January 2025
Brown University, Department of Behavioral and Social Sciences, Providence, RI, United States.
Background: Physician burnout is widespread in health care systems, with harmful consequences on physicians, patients, and health care organizations. Mindfulness training (MT) has proven effective in reducing burnout; however, its time-consuming requirements often pose challenges for physicians who are already struggling with their busy schedules.
Objective: This study aimed to design a short and pragmatic digital MT program with input from clinicians specifically to address burnout and to test its efficacy in physicians.
A Comparison of Prostate Cancer Screening Information Quality on Standard and Advanced Versions of ChatGPT, Google Gemini, and Microsoft Copilot: A Cross-Sectional Study.
Am J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
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