Body composition analysis and references in children: clinical usefulness and limitations.
Sochung ChungPublished in: European journal of clinical nutrition (2018)
The prevalence of obesity is increasing over the world. Especially in Asians compared to Caucasians, there has been a significant increase in the population with major chronic diseases. This has developed over a shorter time period which is associated with socioeconomic changes in recent decades and a greater predisposition to cardiometabolic disorders. Many Asians could be classified has having normal weight but with obesity as evidenced by body composition (BC) and fat distribution. Overweight in Asian adults is classified as a BMI > 23 kg/m2 and obesity as a BMI > 25 kg/m2. An effective strategy to manage the obesity epidemic by focusing on childhood obesity is needed because of the huge impact that obesity exerts on population health. However, monitoring tools are limited to anthropometry such as BMI and BMI z-scores which define overweight and obese as a BMI exceeding the 85th and 95th percentiles, respectively, on reference growth charts. To overcome the limitations of BMI, reference values for BC components have been produced using various techniques. The use of BC charts for children in personalized therapeutic approach has increased, although there is a lack of a consensus on a single reference technique. Zones on BC charts and the personalized values of BC components could be practical, especially for the detection of metabolically unhealthy normal weight (MUN) children. BC charts should be included in the growth chart package and BC monitoring through the entire life course will help us understand the association between growth, aging, health and disease.
Keyphrases
- weight gain
- body composition
- body mass index
- weight loss
- insulin resistance
- metabolic syndrome
- resistance training
- type diabetes
- young adults
- bone mineral density
- high fat diet induced
- physical activity
- adipose tissue
- mental health
- skeletal muscle
- high intensity
- climate change
- postmenopausal women
- risk assessment
- quantum dots