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Stroke is a leading cause of global morbidity and mortality, with risk factors like visceral adiposity and inflammation playing significant roles. This study introduces the Visceral Adiposity Inflammatory Index (VAII), combining the Visceral Adiposity Index (VAI) and high-sensitivity C-reactive protein (CRP), to better predict stroke risk. Analyzing data from 8415 participants in the China Health and Retirement Longitudinal Study over 9 years, the study found that higher VAII levels were strongly associated with increased stroke incidence, with a hazard ratio of 1.91 for the highest quartile. VAII outperformed VAI and CRP alone in predictive accuracy, enhancing traditional risk models as shown by improved Net Reclassification Index and Integrated Discrimination Improvement Index. Furthermore, blood pressure and the triglyceride-glucose index were identified as mediators in the VAII-stroke relationship. These findings underscore VAII as a promising tool for stroke risk assessment, suggesting that public health interventions targeting VAII reduction could help mitigate stroke risk.
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http://dx.doi.org/10.1038/s41598-025-99024-6 | DOI Listing |
Lipids Health Dis
September 2025
Department of Gastroenterology, Weifang People's Hospital, The First Affiliated Hospital of Shandong Second Medical University, 151 Guangwen Street, Weifang, Shandong, 261000, China.
Background: Current scoring systems for hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) severity are few and lack reliability. The present work focused on screening predicting factors for HTG-SAP, then constructing and validating the visualization model of HTG-AP severity by combining relevant metabolic indexes.
Methods: Between January 2020 and December 2024, retrospective clinical information for HTG-AP inpatients from Weifang People's Hospital was examined.
Sci Rep
September 2025
Department of Endocrinology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Visceral adiposity has been proposed to be closely linked to cognitive impairment. This cross-sectional study aimed to evaluate the predictive value of Chinese Visceral Adiposity Index (CVAI) for mild cognitive impairment (MCI) in patients with type 2 diabetes mellitus (T2DM) and to develop a quantitative risk assessment model. A total of 337 hospitalized patients with T2DM were included and randomly assigned to a training cohort (70%, n = 236) and a validation cohort (30%, n = 101).
View Article and Find Full Text PDFPLoS One
September 2025
Internal Medicine Department, Tlemcen University Hospital, Tlemcen, Algeria.
Background: Visceral adipose tissue (VAT) is associated with several cardiometabolic risk factors, particularly metabolic syndrome and insulin resistance. Reference values for VAT vary across populations, genders, and ages. Data on visceral fat in the Algerian population are lacking.
View Article and Find Full Text PDFNutr Cancer
September 2025
Department of Kinesiology and Nutrition, University of Illinois Chicago, Iowa City, IL, USA.
Increased adiposity and chronic psychosocial stress (CPS) are plausible modifiable contributors of the recent increase in early-onset colorectal cancer (EOCRC). We conducted an 8-week randomized controlled pilot trial evaluating the feasibility and acceptability of time restricted eating (TRE) (daily ad libitum eating between 12-8pm) and Mindfulness ("Mindfulness for Beginners" course from the Calm app) among young adults. Participants were randomized to the following groups: TRE ( = 10); Mindfulness ( = 11); TRE & Mindfulness ( = 11); or Control ( = 11).
View Article and Find Full Text PDFAbdom Radiol (NY)
September 2025
Department of Gastroenterology department, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Objective: This study aimed to create and validate a nomogram to predict early recurrence (ER) in Colorectal cancer (CRC) patients by combining CT-derived abdominal fat parameters with clinical and pathological characteristics.
Methods: We conducted a retrospective analysis of 206 CRC patients, dividing them into training (n = 146) and validation (n = 60) cohorts. We quantified abdominal fat parameters, including subcutaneous adipose tissue index (SATI) and visceral adipose tissue index (VATI), using semi-automatic software on CT images at the level of the third lumbar vertebra (L3).