Orvostechnikai és biotechnikai műszaki tudományok és technológia
Obesity is a fast-growing endemic with an already alarmingly high prevalence and serious
potential health consequences; both underlining its risk. Currently existing indicators
of obesity and its risk are either easily computable, but of a smaller predictive
value (e.g. BMI) or accurately predict risk, but are unfit for screening of wider
populations (e.g. CT, DXA). 34 healthy Hungarian children (aged 14-16 years) were
medically examined to collect parameters related to obesity: anthropometric parameters,
body composition data provided by bioelectric impedance analysis, laboratory blood
tests and medical history. Variables derived from prepared (factor analyzed, amongst
others) anthropometric data and body composition were then clustered, revealing the
presence of two distinct clusters. Sexes are fortunately independently distributed
among clusters. Minuscule, but statistically significant differences in the laboratory
tests were found between the clusters. These – especially the physiologically consistent
ones – need further attention.
