Results 141 to 150 of about 3,344,180 (298)
ABSTRACT Machine learning provides a powerful tool to capture complex, nonlinear patterns in biomedical data and enhance precision risk stratification. In this study, we applied a multilayer perceptron (MLP) framework to classify Framingham Risk Score–based cardiovascular risk categories in patients with obstructive sleep apnea (OSA).
Feng Zhao +10 more
wiley +1 more source
Association between waist-hip ratio and subclinical myocardial injury in the general population: Insights from the NHANES. [PDF]
Wang Z, Huang X, Li J, Liu N, Wei Q.
europepmc +1 more source
Intraobserver and Interobserver Reliability of Waist Circumference and the Waist‐to‐Hip Ratio [PDF]
M M, Chen +4 more
openaire +2 more sources
Diet, Fruit and Vegetable Intake, and Nutritional Status in Fiji: A Scoping Review
ABSTRACT Increasing fruit and vegetable (F&V) intake is essential for transitioning toward healthier, more sustainable diets. To design effective intervention programmes to promote F&V intake, it is crucial to understand intake levels and dietary patterns across different demographic groups as well as populations' nutritional status.
Fusta Azupogo +3 more
wiley +1 more source
Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic. [PDF]
Mäkinen VP +9 more
europepmc +1 more source
ABSTRACT Objective This study aimed to examine the causal effect of adiposity on mental illnesses by summarizing and assessing evidence from Mendelian randomization (MR) studies. Method Searches were conducted on Embase, Medline, and Web of Science from database inception to September 22nd, 2025.
Min Gao +6 more
wiley +1 more source
Linear regression model for waist circumference, waist-to-hip ratio and body mass index for the study population, according to gender and HAART status.
Roland Cheofor Ngu (4994225) +4 more
core +1 more source
ABSTRACT Despite all efforts, obesity remains a major health concern worldwide, with continuously increasing rates, affecting approx. 14% of the total world population, being as high as 43% in some countries. As obesity is related to numerous comorbidities, including type 2 diabetes, cardiovascular diseases, and some types of cancer, the consequences ...
Farhad Vahid +22 more
wiley +1 more source
Waist-hip ratio is an independent predictor of moderate-to-severe OSA in nonobese males: a cross-sectional study. [PDF]
Wang Y, Mao L, Zhang X.
europepmc +1 more source
Objective: To examine the prospective association of television (TV) watching from adolescence to young adulthood with BMI, waist circumference (WC), waist-to-hip ratio (WHR) and ...
Mamun, Abdullah A. +3 more
core +1 more source

