International Journal of Obesity (2004) 28, S54–S58
& 2004 Nature Publishing Group All rights reserved 0307-0565/04 $30.00
Body composition in adolescents: measurements andmetabolic aspects
G Rodrı´guez1*, LA Moreno2, MG Blay3, VA Blay3, JM Garagorri1, A Sarrı´a1 and M Bueno1
1Department of Pediatrics, University of Zaragoza, Zaragoza, Spain; 2University School of Health Sciences, University ofZaragoza, Zaragoza, Spain; and 3Endocrinology Unit, Military Hospital of Zaragoza, Zaragoza, Spain
INTRODUCTION: Adolescence is a decisive period in human life in which important body composition changes occur. Increaseof total body mass and its relative distribution are mainly related to gender and pubertal development. OBJECTIVE: This review explores the specific measurements that may be used in this age group to assess excess body fat and todefine obesity and overweight. RESULTS: Identification of subjects at risk for adiposity requires simple anthropometric cutoffs for the screening of overweightand obesity. In this context, BMI criterion is the most frequently used but, in spite of its high sensitivity and specificity, animportant number of adolescents classified as overweight or obese do not have really high adiposity (32.1% of females and 42%of males). Excess total body fat and intra-abdominal visceral fat are related to metabolic abnormalities that increase the risk ofcardiovascular diseases. Waist circumference seems to be the best simple anthropometric predictor for the screening of themetabolic syndrome in children and adolescents. CONCLUSIONS: Early identification of adolescents at risk for adiposity and its related metabolic complications requires reliable,simple and specific measures of excess body fat for this age group. International Journal of Obesity (2004) 28, S54–S58. doi:10.1038/sj.ijo.0802805
Keywords: body composition; adolescents; metabolic syndrome
leg-to-trunk length ratio. Sex differences in fat mass are
Adolescence is a decisive period in human life due to the
apparent even long before puberty tends to start.2,3
multiple changes that take place between childhood and
These body composition and psycho-sociological changes
adulthood. Puberty is the main neuro-hormonal determi-
determine nutritional requirements, and eating and physical
nant of both physiological and psychological changes,
activity behavior modifications. Sometimes, characteristic
although other social and behavior factors must be con-
adolescent behavior patterns produce both energy balance
and nutritional status disturbances. Therefore, obesity,
Adolescence is characterized by a global acceleration of
anorexia nervosa, bulimia or dislipidemia are important
growth and maturation, with differential changes between
alterations that commonly appear during adolescence and
both sexes. Annual height velocity, weight gain, fat-free mass
persist frequently into adulthood.4,5 With reference to
and bone mineral content increase during this period in all
obesity, the assessment of body composition is useful for
adolescents, but the onset of puberty generally begins earlier
the screening of excess body fat and its related metabolic
in females than in males.1,2 The amount of fat mass in
complications. Reliable measurements of body fatness and
adolescent girls is usually higher than in boys. In girls,
its distribution pattern are necessary in epidemiological,
independently of the chronological age, pubertal develop-
clinical and population studies, and in the management of
ment is associated with an increase of body fat.2 However,
the characteristic body composition pattern that appears inadolescent boys is a decrease of body fat, higher picks ofheight velocity and an increase of both shoulder span and
Body composition measurementsMany reference methods are able to estimate body composi-tion accurately at the individual level. Multicompartment
*Correspondence: Dr G Rodrı´guez, Departamento de Pediatrı´a, Facultad
models, underwater weighing, air displacement plethysmo-
de Medicina, C/ Domingo Miral, s/n, 50009 Zaragoza, Spain. E-mail: [email protected]
graphy, labeled water techniques and dual-energy X-ray
Body composition in adolescentsG Rodrı´guez et al
absorptiometry (DXA) are the most reliable methods to
Skinfold thickness and other anthropometric measures are
obtain accurate measures of total body fat.6,7 Computed
often used as ‘field’ methods to predict total body fat in
tomography and magnetic resonance imaging have been
adolescents, either at population or at individual level.10–14
also shown to provide information about body fat distribu-
Skinfold thickness measurements are able to predict body
tion.8 Nowadays, reference methods are still not enough
fatness better than BMI because subcutaneous fat (40–60% of
suitable for field and clinical use. Therefore, anthropometry
total body fat) can be directly measured with a calliper.12
and bioelectrical impedance are the most widely used
Anthropometry may also give interesting information about
methods when population size is big, whether no economic
how body fat is distributed. The waist-to-hip circumference
resources are available or when a quick measure is required.
ratio, waist circumference alone and the subscapular-to-
One of the major priorities for obesity research is the
triceps ratio are all positively related to a more centralized
improvement of early identification of populations at risk for
pattern of body fat distribution.13,14 Waist circumference,
overweight and its associated alterations among different
which is an indirect measure of abdominal fat, seems to be a
age-groups, especially with a better characterization of the
good anthropometric predictor for the screening of the
relationship between simple measures and metabolic com-
metabolic syndrome in children.14 As well as its advantages,
plications.9 It must be taken into account in further studies
anthropometry has many drawbacks associated with factors
that adolescence is a particular period of life in which body
that can affect its accuracy and precision: nonstandardized
composition change dramatically when puberty appears
methodology, technical and measurement limitations, selec-
and, therefore, the amount of body fatness and its distribu-
tion of adequate fat mass prediction equations for each age
tion pattern may be more strongly related to gender and
group, and measurement discrepancies between methods.10
pubertal development stage than to age. As an example ofthis fact, data from the AVENA Study (Alimentacio´n yValoracio´n del Estado Nutricional en Adolescentes) showed
that the sum of four skinfolds did not significantly change
Obesity is more than an excessive deposition of fat in the
with age; however, when Tanner pubertal stage was con-
body. Excess body fat is associated with adverse metabolic
sidered, a significant decrease in males and a significant
complications, as well as with significant short- and long-
increase in females were observe (Figure 1).10,11
term physical and psychosocial problems that must be
The body mass index (BMI; weight (kg)/height (m2)) is
included in the same concept.9,15 Therefore, in order to
accepted as the standard index for the definition of over-
manage this enormous problem and its consequences,
weight and obesity, and its ability for the screening of excess
objective and standard parameters of body fatness are
body fat in adolescents is discussed later in this review.
required for the screening of obesity. It is obvious that body
Figure 1 Sum of four skinfolds (biceps þ triceps þ subscapular þ suprailiac skinfold thicknesses) in male and female adolescents in each age group and Tannerpuberty stage. Data from 1870 adolescents (843 females and 1027 males); the AVENA (Alimentacio´n y Valoracio´n del Estado Nutricional en Adolescentes)multicentre cross-sectional survey.10,25
fat cutoff values determined by reference methods are the
evaluate the nutritional status, dietary and leisure time
best criterion for overweight and obesity definition.
habits, and physical activity and fitness of a representative
The definition of excess body fat is somewhat arbitrary
sample of Spanish adolescents from five cities (Granada,
even if total body fat mass or body fat mass percentage
Madrid, Murcia, Santander and Zaragoza).
(%FM) is known. Nowadays, there is no consensus about
In a group of 280 adolescents from the city of Zaragoza,
%FM cutoffs for obesity in adolescents. Especially in
aged 13.0–17.9 y (167 females and 113 males), we have
this period, the level of adiposity may vary widely in relation
measured %FM by DXA. Obesity status was defined by IOTF
with age, gender and pubertal development. In the absence
cutoff values and subjects were therefore classified into three
of clear cutoff points, the most consistent %FM values for
groups: normal-weight, overweight and obese.20 Correla-
the definition of excess body fat in female adolescents range
tions between %FM and BMI were strongly positive in both
between 30 and 35%.16–19 Contrary to females, adiposity
sexes: 0.73 in males and 0.82 in females (Po0.0001). Male
in male adolescents decreases with age and sexual develop-
and female adolescents classified as normal-weight, over-
ment.18 Therefore, %FM cutoffs selected for excess body
weight and obese were distributed according to their %FM
fat in males are 25–30% for adolescents aged 10–15 y,
values (Figures 2 and 3). The 85th percentile of the %FM
and 20–25% when subjects up to the age of 18 y are
distribution in each sex group was considered as cutoff point
for excess adiposity (Z30% in males and Z35% in females).
BMI is the parameter most frequently used for the
In total, 94% of males and 84% of females with high
screening of excess body fat because it is easy to determine
adiposity were correctly identified by BMI (sensitivity or
and it tends to correlate well with body fat. BMI cutoff values
true-positive rate), and 88% of males and 93% of females
generally accepted for the definition of overweight and
without high adiposity were also correctly classified (speci-
obesity in adults are 425 and 430 kg/m2, respectively. In
ficity or true-negative rate). Among those adolescents
children and adolescents, based on BMI centile curves,
considered as overweight or obese by BMI cutoffs, only
International Obesity Task Force (IOTF) BMI cutoff points
67.9% of females and 58.0% of males had really excess
have been recently proposed for each half-year of age, which
correspond to the adult BMI values of 25 and 30 kg/m2 at the
Therefore, BMI cutoffs are a good criterion for the screen-
age of 18 y.20 This standard international definition allows
the screening of adolescent overweight and obesity world-
high sensitivity and specificity, but an important percentage
of subjects classified as overweight or obese did nothave really excess adiposity. In a similar study performedby Taylor et al,17 in subjects aged 8.5–15.5 y, 86% of bothmales and females with high adiposity (%FM Z25% in males
Is the BMI suitable for the screening of obesity in
and Z35% in females) were correctly identified by BMI
Although correlation between BMI and body fatnessis generally strong, it is higher in prepubertal childrencompared with pubertal adolescents, and it is also higherin female than in male children.12,21–23 The use of BMIto identify children with excess adiposity during the pubertaldevelopment has an important limitation; it has been shownthat BMI increases in adolescents from both sexes areprimarily determined by increases in fat-free mass ratherthan
may erroneously classify some adolescents without over-weight as subjects with excess adiposity. In spite of thisfact, Sardinha et al19 have observed that BMI is ableto identify effectively children with excess body fataged 10–15 y (areas under ROC curve for BMI: 0.89–0.95 inboys and 0.61–0.97 in girls), as well as Sarrı´a et al25 inboys aged 7–16 y (area under the ROC curve for age-adjustedBMI: 0.86).
Our group has also studied the ability of BMI for the
screening of overweight and obesity in adolescents. Dataconcerning the relationship between BMI and adiposity are
Figure 2 Number of male adolescents classified using BMI criterion asnormal-weight, overweight and obese, and distributed according to their
part of results obtained from the AVENA (Alimentacio´n y
body fat percentage measured by dual-energy X-ray absorptiometry. Doted
Valoracio´n del Estado Nutricional en Adolescentes) multi-
line is the 85th percentile of the body fat percentage distribution considered
center cross-sectional survey.10,11 This study was designed to
Body composition in adolescentsG Rodrı´guez et al
normal. They concluded that, independently of the amountof fat mass, intra-abdominal fat accumulation was stronglyrelated to insulin resistance and hyperglycemia in obeseadolescents.
Other metabolic abnormalities, associated with excess
adiposity and implicated in cardiovascular morbidity andmortality, have also shown direct relations with central fatdistribution in children and adolescents: greater plasmahemostatic factor concentrations;30 increased intramyo-cellular lipid content;28 low HDL-cholesterol and highLDL-cholesterol, ApoA1/ApoB and triglycerides plasmalevels;26,31,32 and hypertension.26,31,32 Metabolic syndromeis characterized in childhood and adolescence by a clusteringof several independent cardiovascular risk factors,26,33 whichappears in 8.9% of obese children (defined by the simulta-neous presence of four risk factors).27 The role of differentvariables of metabolic syndrome that are highly interrelated,
Figure 3 Number of female adolescents classified using BMI criterion as
including parameters of body fat distribution, has been
normal-weight, overweight and obese, and distributed according to their
analyzed in obese and nonobese children and a set of
body fat percentage measured by dual-energy X-ray absorptiometry. Doted
composite factors unrelated to each other have been
line is the 85th percentile of the body fat percentage distribution consideredas cutoff point for high adiposity.
obtained to explain the multifaceted nature of this syn-drome.26,33 Moreno et al,26 after a varimax rotation analysis,showed that waist circumference is one of the most
Body fat distribution and metabolic complications
important determinants of metabolic syndrome in child-
The last point of this review explores the importance of
hood and adolescence. Waist circumference, BMI, systolic
body fat distribution for the screening of the metabolic
and diastolic blood pressure, trunk-to-total skinfolds (%),
syndrome in obese children and adolescents. Obesity,
and plasma levels of fasting insulin, glucose, tryglicerides,
especially central body fatness, is associated with dyslipide-
leptin, HDL-cholesterol and uric acid; associated in four
composite factors, explained 74.18 and 72.16% of the
and impaired glucose tolerance/type 2 diabetes. This cluster
metabolic syndrome variance in obese and in nonobese
of metabolic abnormalities that already appears in obese
children and adolescents increases the risk of cardiovasculardiseases.14,26,27
Obese children and adolescents with impaired glucose
tolerance have peripheral insulin resistance and insulin
The major conclusions of this review are the followings:
secretion abnormalities that cause major defects in lipidand carbohydrate metabolism. Early in the natural history
(1) Body composition change dramatically during adoles-
of type 2 diabetes in obese young people, insulin resistance
cence. Gender and pubertal development differences
as prediabetes status is related to an increased visceral
related to body composition must be considered in this
fat more than to excess body fat.28 Freedman et al29 showed
relative short period of human life.
a positive relation of central adiposity measured by circum-
(2) Early identification of adolescents at risk for obesity and
ferences and skinfold thickness to lipid and insulin
its related metabolic complications requires reliable,
concentrations in children and adolescents. Waist circum-
simple and specific measures of excess body fat for this
ference seems to be the best simple anthropometric predictor
for the screening of the metabolic syndrome in children.14
(3) International Obesity Task Force BMI cutoffs20 may be
Waist circumference may be used as an index of abdominal
used for the screening of excess body fat in adolescents
adiposity, which is the sum of visceral and subcutaneous
due to its high sensitivity and specificity, but an
fat at this level. In a recent study, Weiss et al28 have
important percentage of subjects classified as overweight
measured abdominal fat partitioning by nuclear magnetic
or obese did not have really excess adiposity.
resonance into two groups of obese adolescents, one
(4) In adolescents, excess body fat and, specifically, in-
with impaired glucose tolerance and the other with
creased intra-abdominal visceral fat are related to
normal tolerance, both with similar ages, sex distribution
dyslipidemia, hypertension, insulin resistance and im-
and degree of obesity. Adolescents with impaired glucose
tolerance had more abdominal visceral fat, less abdominal
(5) Waist circumference seems to be the best simple
subcutaneous fat and, therefore, greater visceral-to-subcuta-
anthropometric predictor for the screening of the
neous fat ratio than those whose glucose tolerance was
metabolic syndrome in children and adolescents.
17 Taylor RW, Falorni A, Jones IE, Goulding A. Identifying
This study has been supported by Instituto de Salud Carlos III
adolescents with high percentage body fat: a comparison ofBMI cutoffs using age and stage of pubertal development
(Spain): Grant FIS 00/0015-05 and Red de Centros RCESP,
compared with BMI cutoffs using age alone. Eur J Clin Nutr
18 Taylor RW, Jones IE, Williams SM, Goulding A. Body fat
percentages measured by dual-energy X-ray absorptiometrycorresponding to recently recommended body mass index cutoffs
for overweight and obesity in children and adolescents aged
1 Chumlea WC, Siervogel RM, Roche AF, Webb P, Roger E.
3–18 y. Am J Clin Nutr 2002; 76: 1416–1421.
Increments across age in body composition for children 10 to
19 Sardinha LB, Going SB, Teixeira PJ, Lohman TG. Receiver
18 years of age. Hum Biol 1983; 55: 845–852.
operating characteristic analysis of body mass index, triceps
2 Vizmanos B, Martı´-Henneberg C. Puberty begins with a char-
skinfold thickness, and arm girth for obesity screening in
acteristic subcutaneous body fat mass in each sex. Eur J Clin Nutr
children and adolescents. Am J Clin Nutr 1999; 70: 1090–1095.
20 Cole TJ, Bellizzi MC, Flegal M, Dietz WH. Establishing a standard
3 Taylor RW, Gold E, Manning P, Goulding A. Gender differences in
definition for child overweight and obesity worldwide: interna-
body fat content are present well before puberty. Int J Obes Relat
tional survey. Br Med J 2000; 320: 1240–1243.
21 Daniels SR, Khoury PR, Morrison JA. The utility of body mass
4 Attie Y, Brooks-Gunn J. Development of eating problems
index as a measure of body fatness in children and adolescents:
in adolescence girls: a longitudinal study. Dev Psychol 1989; 25:
differences by race and gender. Pediatrics 1997; 99: 804–807.
22 Pietrobelli A, Faith MS, Allison DB, Gallagher D, Chiumello G,
5 Moreno LA, Sarrı´a A, Fleta J, Rodrı´guez G, Bueno M. Trends in
Heymsfield SB. Body mass index as a measure of adiposity among
body mass index and overweight prevalence among children and
children and adolescents: a validation study. J Pediatr 1998; 132:
adolescents in the region of Arago´n (Spain) from 1985 to 1995. Int
J Obes Relat Metab Disord 2000; 24: 925–931.
23 Lindsay RS, Hanson RL, Roumain J, Ravussin E, Knowler WC,
6 Parker L, Reilly JJ, Slater C, Wells JCK, Pitsiladis Y. Validity of six
Tataranni PA. Body mass index as a measure of adiposity in
field and laboratory methods for measurement of body composi-
children and adolescents: relationships to adiposity by dual
tion in boys. Obes Res 2003; 11: 852–858.
energy X-ray absorptiometry and to cardiovascular risk factors.
7 Wang ZM, Deurenberg P, Guo SS, Pietrobelli A, Wang J, Pierson
J Clin Endocrinol Metab 2001; 86: 4061–4067.
RN, Heymsfield SB. Six-compartment body composition model:
24 Maynard LM, Wisemandle W, Roche AF, Chumlea WC, Guo SS,
inter-method comparisons of total body fat measurement. Int J
Siervogel RM. Childhood body composition in relation to body
Obes Relat Metab Disord 1998; 22: 329–337.
mass index. Pediatrics 2001; 107: 344–350.
8 Brambilla P, Manzoni P, Sironi S, Simone P, Del Maschio A, di
25 Sarrı´a A, Moreno LA, Garcı´a-Llop LA, Fleta J, Morello´n MP, Bueno
Natale B, Chiumello G. Peripheral and abdominal adiposity
M. Body mass index, triceps skinfold and waist circumference in
in childhood obesity. Int J Obes Relat Metab Disord 1994; 18:
screening for adiposity in male children and adolescents. Acta
9 Koletzko B, Girardet JP, Klish W, Tabacco O. Obesity in children
26 Moreno LA, Pineda I, Rodrı´guez G, Fleta J, Giner A, Juste MG,
and adolescents worldwide: current views and future directions.
Sarrı´a A, Bueno M. Leptin and the metabolic syndrome in obese
J Pediatr Gastroenterol Nutr 2002; 35: S205–S212.
and non-obese children. Horm Metab Res 2002; 34: 394–399.
10 Moreno LA, Joyanes M, Mesana MI, Gonza´lez-Gross M, Gil CM,
27 Csabi G, Torok K, Jeges S, Molnar D. Presence of metabolic
Sarrı´a A, Gutierrez A, Garaulet M, Pe´rez-Prieto R, Bueno M,
cardiovascular syndrome in obese children. Eur J Pediatr 2000;
Marcos A, and the AVENA Study Group. Harmonization of
anthropometric measurements for a multicenter nutrition survey
28 Weiss S, Dufour S, Taksali SE, Tamborlane WV, Petersen KF,
in Spanish adolescents. Nutrition 2003; 19: 481–486.
Bonadona RC, Boseli L, Barbetta G, Allen K, Rife F, Savoye M,
11 Gonza´lez-Gross M, Castillo MJ, Moreno LA, Nova E, Gonza´lez-
Dziura J, Sherwin R, Shulman GI, Caprio S. Prediabetes in obese
˜o D, Pe´rez-Lamas F, Gutierrez A, Garaulet M, Joyanes M,
youth: a syndrome of impaired glucose tolerance, severe insulin
Leiva A, Marcos A, and the AVENA Group. Alimentacio´n y
resistance, and altered myocellular and abdominal fat partition-
valoracio´n del estado nutricional de los adolescentes espan
(Estudio AVENA). Evaluacio´n de riesgos y propuesta de interven-
29 Freedman DS, Serdula MK, Srinivasan SR, Berenson GS. Relation
cio´n. I. Descripcio´n metodolo´gica del proyecto. Nutr Hosp 2003;
of circumferences and skinfold thickness to lipid and insulin
concentrations in children and adolescents: The Bogalusa Heart
12 Sarrı´a A, Garcı´a-Llop LA, Moreno LA, Fleta J, Morello´n MP, Bueno
Study. Am J Clin Nutr 1999; 69: 308–317.
M. Skinfold thickness measurements are better predictors of body
30 Ferguson MA, Gutin B, Owens S, Litaker M, Tracy RP, Allison J. Fat
fat percentage than body mass index in male Spanish children
distribution and hemostatic measures in obese children. Am J
and adolescents. Eur J Clin Nutr 1998; 52: 573–576.
13 Moreno LA, Fleta J, Mur L, Feja C, Sarrı´a A, Bueno M. Indices of
31 Maffeis C, Pietrobelli A, Grezzani A, Provera S, Tato` L. Waist
body fat distribution in Spanish children aged 4.0 to 14.9 years.
circumference and cardiovascular risk factors in prepubertal
J Pediatr Gastroenterol Nutr 1997; 25: 175–181.
children. Obes Res 2001; 9: 179–187.
14 Moreno LA, Pineda I, Rodrı´guez G, Fleta J, Sarrı´a A, Bueno M.
32 Savva SC, Tornaritis M, Savva ME, Kourides Y, Panagi A, Silikiotou
Waist circumference for the screening of the metabolic syndrome
N, Georgiotou C, Kafatos A. Waist circumference and waist-to-
in children. Acta Paediatr 2002; 91: 1307–1312.
height ratio are better predictors of cardiovascular disease risk
15 World Health Organisation. Obesity. Preventing and managing the
factors in children than body mass index. Int J Obes Relat Metab
global epidemic., Report of a WHO consultation on obesity World
33 Chen W, Srinivasan SR, Elkasabany A, Berenson GS. Cardiovas-
16 Weststrate JA, Deurenberg P. Body composition in children:
cular risk factors clustering features of insulin resistance syn-
proposal for a method for calculating body fat percentage from
drome (Syndrome X) in a biracial (Black–White) population of
total body density or skinfold-thickness measurements. Am J Clin
children, adolescents, and young adults: the Bogalusa Heart
Study. Am J Epidemiol 1999; 150: 667–674.
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