abnormal or excessive fat accumulation that may impair health (WHO)
type of malnutrition
assessment methods vary by age, sex and ethnicity
Asian populations
at BMI under 25 risk of T2D and CVD is much higher than caucasian
Lancer (2004) recommendations for Asian populations
under 18.5 = underweight
18.5 - 23 = increasing but acceptable risk
23 - 27.5 = increased risk
over 27.5 = higher high risk
android obesity = apple shape distribution, person stores fat around the abdominal region
gynoid obesity = pear shape, excess fat is deposited somewhere at the thigh and hip areas
android obesity (apple) increased risk of CVD than gynoid obesity (pear)
waist circumference in men
desirable = under 94cm
high = 94 - 102cm
very high = over 102cm
waist circumference in women
desirable = under 80cm
high = 80 - 88cm
very high = over 88cm
obesity and diabetes
risk of diabetes increased with increased BMI
men with a BMI of 25 - 26.9 kg/m2 at 2.2x risk vs BMI over 35kg.m2 risk rate of 42.1x
overweight classification for children UNDER 5 (weight for height) = 2 standard deviations above WHO growth chart
above 85th percentile
classification for children OVER 5 = 3 standard deviations above the standards or over 97th percentile
children aged 5-19 = BMI for age
overweight = over 1 standard deviation above the WHO growth reference median
obesity = over 2 standard deviations above the references
visceral adipose tissue more strongly correlated than subcutaneous adipose tissue with hypertension, raised fasting glucose, triglycerides, diabetes
the INTERHEART study - obesity and CVD
smoking - odds ratio = 2.87
central obesity - odds ratio = 1.1 - 1.6
hypertension - odds ratio = 1.91
diabetes - odds ratio = 2.37
energy balance = energy intake - energy expenditure
energy balance
body weight can only change when energy intake is not equal to energy expenditure over a given period of time
metabolism is not a factor of obesity - energy expenditure only becomes less than lean people when obesity is severe and limits movement
genetic factors of obesity & CVD
increase the risk of developing a characteristic but are not essential for its expression
some lifestyle behaviours are protecting and decrease the risk; others increase the risk
Bardet-Biedl syndrome
Prader-Willi syndrome
candidate monogenic gene
Bardet-Biedl syndrome
similar characteristics to Prader-Willi
highly heterogenous: studies have identified several different chromosomal loci in different families responsible for the syndrome (chromosomes 16, 11, 3, 15)
Prader-Willi syndrome (PWS)
1 in 25000 births
usually associated with familial inheritance
caused by a deletion of the paternal segment of chromosome 15
upper-body obesity, short stature, mental retardation, hypogonadism
example of candidate monogenic gene: leptin
satiety hormone: controls food intake by making you feel full - circulates in blood and signals to the brain
very few cases of leptin deficiency in obese humans
more cases of high circulating leptin concentrations found than in non-obese