Pediatric Fatness Measurement: A Completely Different Approach To Define Obesity From Adults!
Monday, 17 August 2009 00:00

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Children are not small adults.
The prevalence of pediatric obesity is increasing in the United States and in European countries (JAMA 2002; 288: 1728-32; JAMA 2008; 299: 2401-05). This rising obesity prevalence is a major concern given the health risks associated with pediatric obesity (J Endocrinol Invest 2008; 31 (11): 979-84). A reliable and accurate estimate of body fatness is extremely needed when studying the various health correlates of pediatric obesity (Int J Obes 2005; 29: S97-100).
Better understanding of body composition and factors influencing its development can improve the prediction of adult status and help to create strategies for reducing the risk factors of various diseases. Whatever the reason of assessing body composition, nutritionists and clinicians in health-related fields should have a general understanding of the most commonly used techniques for assessing body composition in pediatric subjects. However, body composition techniques used in adults are not directly applicable to the pediatric population (Pediatric body composition methods, in: Human Body Composition, Human Kinetics, 2005, 129-141- no link).
Compared with adults children have much greater variation in body composition attributable to growth and development from infancy to adolescence. Throughout infancy, childhood and adolescence, there is a change in the chemical composition of the fat free mass. The two-compartment model, which divides the body into fat-free mass (FFM) and fat mass (FM), is influenced by age and maturation (Ann Rev Nutr 2002; 22: 1-17). Growth during pediatric age is consequence of increasing cell size and number; body composition undergoes changes in absolute amounts and relative proportions of water, lipid, protein and mineral mass (Acta Paediatrica 2005; 94: 8-13). It is important to know that boys and girls grow differently, and it is fundamental to assess this natural aspect when we measure children (Am J Clin Nutr 1982; 35: 1169-75).
On the other hand clinician adherence to obesity screening guidelines remains suboptimal (BMC Pediatrics 2009; 9: 19). In the largest study evaluating pediatricians’ weight perceptions of children and their weight assessment and management practices, less than half of surveyed pediatricians (3633 pediatricians in total) knew definitions for pediatric overweight and obesity and a minority of physicians reported calculation of body mass index on a routine basis (either at well child care visit or at all visits (Obesity 2007; 15: 225-32; Arch Pediatr Adolesc Med 2005; 159: 632-38).
Obesity is defined as an excessively high amount of body fat or adipose tissue in relation to lean body mass (J Pediatrics 1998; 132: 204-10). Body mass index (BMI) is a common measure expressing the relationship (or ratio) of weight in kilograms to height squared in meters. Adults with a BMI of 25 to 29.9 are considered overweight, while those with a BMI of 30 or more are considered obese. Children with a BMI at or above the 95th percentile for their age are considered obese, and children with a BMI at or above the 85th percentile but below the 95th percentile are considered overweight (CDC, 2000), www.cdc.org).
In daily clinical practice family pediatricians could use in their office anthropometry and circumferences as well as bioimpedance analysis (BIA).
We briefly discuss measurement techniques with the pros and cons. of each one.
Anthropometry
Anthropometry is an inexpensive, non invasive method of assessing size, shape and composition of the human body. Body weight and stature are measures of body size, and ratios of body weight to height can be used to represent body proportion.
Body Mass Index (BMI)
Body Mass Index (BMI), is an expression of relative weight to height. The BMI curve increases during infancy, with a peak at approximately 9 mo of age, then decreased until about age of 6 y and then increases again, which lasts until adulthood (BMJ 2000; 320: 1240-43). In pediatric age the interdependence between weight, height, BMI and body fat is not well understood and sometimes controversial. We need to take into account that BMI does not measure adiposity directly. BMI is safe, simple, inexpensive to obtain and widely used to characterize childhood in epidemiological studies (J Pediatrics 1998; 132: 204-10). However, BMI cannot predict a specific individual’s body fat (Am J Epidemiol 1999; 150: 939-46) because it is not able to disentangle FFM from FM (Acta Paediatrica 2005; 94: 8-13) and it could define a surrogate measure of fatness at individual level.
Skinfold
A long-standing method for evaluating growth and body composition is measurement of skinfold thickness. This technique uses special calipers to grasp a skinfold held between the tester’s thumb and fingers to provide measurement, in millimeters, for a double fold of skin and subcutaneous fat. It is a method of estimating body density. Total FFM, FM and %FM can be estimated from prediction equations that use skinfold measurements. The most often used skinfolds in pediatric age groups are triceps, biceps and sub-scapular skinfolds. Although this method is not so useful when measuring overweight and obese subjects (Acta Paediatrica 2005; 94: 8-13).
Circumferences
Circumferences at the waist, hip and thigh are used to predict body fat distribution and waist in particular is a very good predictors of intra-abdominal fat (Int J Obes 2006; 30 (1): 23-30). A flexible plastic tape measure with a local-loaded handle enables the operator to produce the tension on the end of the tape measure used for the measurement. Waist circumference is an early indicator of the risk of maintaining excess adiposity, as well as its metabolic complications (Obes Res 2001; 9: 179-87). Fernandez and colleagues provided the distribution of waist circumferences among children age 2 to 18 y in nationally representative samples of three major ethnic groups (African American, Caucasian and Hispanic) in terms of percentile at 10th, 25th, 50th and 90th percentiles (J Pediatr 2004; 145: 439-44).
Bioimpedance Analysis (BIA)
Bioimpedance Analysis (BIA) is based on a simple concept: tissue rich in water and electrolytes is much more resistant to the passage of on electrical current than adipose tissue. BIA measures the impedance of a low-energy electrical signal as it passes through the body, which is proportional to the length of the conductor (a function of height) and inversely proportional to the cross-sectional area (volume) (Int J Body Comp Res, 2009, in press – no link). Usually, four electrodes are attached to the pediatric subject during the measurement, one each to the ankle and foot, and one each to the wrist and back of the hand. BIA provides an estimate of total water, which is then transformed into FFM. It is important to note that measurement conditions are fundamental for obtaining correct body composition estimates (Acta Diabetol 2003, 40(S1):270-73 – no link).
Conclusions
Although not reviewed in this paper, it is important to consider nutritional factors, energy intake, diet, composition, hormonal status, food preferences, and other behavioral factors that influence pediatric body composition. When these are taken together with an accurate and precise body composition assessment it may be possible to evaluate more effectively the growth process and disease risk.
Final remark/statement
In daily clinical practice the use of at least two body composition measurements is fundamental.
Keeping in mind that in pediatric age BMI is a surrogate measurement of fatness, we could suggest the routinely use of waist circumference as a reliable measurement of visceral fat longitudinally. We can associate the use of BIA for assessment of total body water in which, using appropriate equations, could estimate FMM and FM in a short medium and long term period follow-up.
August 17, 2009
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Prof. Angelo Pietrobelli, MD
Pediatric Unit
Verona University Medical School
Policlinic GB Rossi
P.le LA Scuro, 1
37134 Verona (ITALY)
Phone: ++ 39 045 8124390
FAX: ++ 39 045 8124746
E-mail:
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