In the current study, SAD identified normal-weight high-risk individuals: those with a BMI of <25 kg/m but with a large SAD were at increased risk of diabetes (data not shown).
A single threshold value of waist girth identifies normal-weight and overweight subjects with excess visceral adipose tissue.
Children with BMI values < 85th percentile will be identified as normal weight and will not participate further in the study.
The model with two latent classes in Panel A identified a "normal weight" class to which 94% of the girls were most likely to belong and an "obese" class to which 6% of the girls were most likely to belong.
De Lorenzo et al. have identified the normal weight obese (NWO) syndrome, characterized by normal body weight and BMI, but high total body fat mass (TBFat) accumulation (>30%) accompanied by TBLean deficiency [ 15] and high level of atherogenic indices and oxidative stress [ 16, 17].
Presenting individual FMS scores alongside the total composite score also identified that normal weight children outperformed their overweight peers on the deep squat and tests of shoulder mobility and overweight children outperformed obese children in functional movements requiring hamstring flexibility, shoulder mobility and balance.
From a large-scale health checkup system, we identified 2078 normal weight (18.5 ≤ BMI < 25 kg/m) subjects with no previous history of coronary artery disease who underwent analysis of atherosclerosis using coronary computed tomography angiography (CCTA) and pulse wave velocity (PWV).
When identifying underweight, normal weight, overweight and obesity, misclassification was defined as discordance between BMI-categories, determined by parent-reported and parent-measured BMI versus nurse-measured BMI.
Body mass index (BMI) cut-off points of <20, 20 to 24.9, 25 to 29.9 and >29.9 kg/m2 were employed to identify underweight, normal weight, overweight and obese status, respectively.
Many companies already use analytics to identify normal sales patterns.
Our findings suggest that HOMA-IR, fasting, and 2-h insulin may be important clinical markers for identifying young, normal-weight, Hispanic women who may be at risk for development of type 2 diabetes and cardiovascular disease.
