Search results
Results from the WOW.Com Content Network
The 2000 CDC growth charts - a revised version of the 1977 NCHS growth charts - are the current standard tool for health care providers and offer 16 charts (8 for boys and 8 for girls), of which BMI-for-age is commonly used for aiding in the diagnoses of childhood obesity. [1]
Papilledema (right) revealed by scanning laser ophthalmoscopy (top) and laser Doppler imaging (bottom). Healthy contralateral eye (left). The signs of papilledema that may be seen using an ophthalmoscope include: venous engorgement (usually the first signs) loss of venous pulsation; hemorrhages over and/or adjacent to the optic disc
Physical inactivity of children has also shown to be a serious cause, and children who fail to engage in regular physical activity are at greater risk of obesity. Researchers studied the physical activity of 133 children over a three-week period using an accelerometer to measure each child's level of physical activity.
Obese children are classified as being equal to or greater than the 95th percentile. [8] Obesity can also be determined by measuring the circumference of an individual's waist. Although calculating an individual's BMI is the most recommended indicator it doesn't distinguish the risk of disease.
[citation needed] Rates of obesity in Canadian boys have increased from 11% in the 1980s to over 30% in the 1990s, while during this same time period rates increased from 4 to 14% in Brazilian children. [49] As with obesity in adults many different factors contribute to the rising rates of childhood obesity.
Obesity prior to pregnancy and maternal weight gain above recommended guidelines during pregnancy are another key risk factor for macrosomia or LGA infants. [ 21 ] [ 22 ] [ 23 ] It has been demonstrated that while maternal obesity and gestational diabetes are independent risk factors for LGA and macrosomia, they can act synergistically, with ...
With CFP positioning on the line in many of these games, here is how to watch all of the action today that will shape the playoff.
SAD is a strong predictor of coronary disease, with higher values indicating increased risk independent of BMI. [1] For persons of normal BMI, SAD should be under 25 centimetres (9.8 in). When this measure exceeds 30 centimetres (12 in) it correlates to increased cardiovascular risk and insulin resistance. [2]