(1) Background: The excess visceral adipose tissue (VAT) accumulation in women may reflect an early or advanced state of a metabolic disorder and a higher risk of cardiovascular disease than other types of obesity. This study aimed to determine the predictor variables (demographic information, anthropometric data, and blood biomarkers) for changes in VAT in adult women. (2) Methods: This cross-sectional study was conducted with women aged 18-59 years attending nutritional consultation at the Centro Universitário de Brasília (CEUB)'s nutrition school clinic, Brazil. All participants' medical records were reviewed throughout the study and data of interest were collected. Various anthropometric measurements and biochemical exams were performed and analyzed in a univariate logistic regression model to identify the possible risk factors predictors for the presence of altered VAT. (3) Results: Our logistic regression model considered body mass index (BMI) greater than 25 kg/m, lipid accumulation product (LAP), and waist-hip ratio (WHR) as predictors of altered VAT. (4) Conclusion: LAP has a robust predictive capacity for changes in visceral fat in adult women, followed by WHR and BMI, making these variables effective in assessing the risk for changes in visceral fat and their inclusion essential in the individual and collective clinical practice.
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http://dx.doi.org/10.3390/ijerph19095505 | DOI Listing |
J Nutr
December 2024
Department of Diabetology, Madras Diabetes Research Foundation & Dr Mohan's Diabetes Specialties Centre, Chennai, Tamil Nadu, India. Electronic address:
Background: Asian Indians are susceptible to developing type 2 diabetes at a lower age and often consume diets that are high in glycemic load and low in healthy fats.
Objectives: This study aimed to evaluate the effect of 30 g prebreakfast and 30 g predinner supplementation of pistachios for 12 wk on glycated hemoglobin (HbA1c), other glycemic markers, anthropometry, and lipid profile of Asian Indians with prediabetes.
Methods: In a 12-wk parallel arm, randomized controlled trial, we recruited 120 participants with prediabetes based on American Diabetes Association criteria.
Int J Obes (Lond)
December 2024
Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA.
Background: Rare variants in melanocortin 4 receptor gene (MC4R) result in a severe form of early-onset obesity; however, it is unclear how these variants may affect abdominal fat distribution, intrahepatic fat accumulation, and related metabolic sequelae.
Methods: Eight hundred seventy-seven youth (6-21 years) with overweight/obesity, recruited from the Yale Pediatric Obesity Clinic in New Haven, CT, underwent genetic analysis to screen for functionally damaging, rare variants (MAF < 0.01) in MC4R.
Sci Rep
December 2024
Department of Radiology, Center for Pulmonary Functional Imaging, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
This retrospective study developed an automated algorithm for 3D segmentation of adipose tissue and paravertebral muscle on chest CT using artificial intelligence (AI) and assessed its feasibility. The study included patients from the Boston Lung Cancer Study (2000-2011). For adipose tissue quantification, 77 patients were included, while 245 were used for muscle quantification.
View Article and Find Full Text PDFSci Rep
December 2024
Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.
View Article and Find Full Text PDFNeurourol Urodyn
December 2024
Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, Shangdong, China.
Background: The association between different anthropometric indices, including body mass index (BMI), a body shape index (ABSI), lipid accumulation product (LAP), visceral adiposity index (VAI), waist circumference-triglyceride index (WTI), weight-adjusted waist index (WWI), body roundness index (BRI) and the prevalence of overactive bladder (OAB) is unclear. This investigation aims to explore the association among different anthropometric indices and overactive bladder as well as confounding variables.
Methods: Data were obtained from the USA National Health and Nutrition Examination Survey (NHANES) data set between 2005 and 2018, and 15231 participants were included in the study.
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