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J Appl Physiol 92: 2285-2291, 2002. First published February 8, 2002; doi:10.1152/japplphysiol.01066.2001
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Vol. 92, Issue 6, 2285-2291, June 2002

Prepubertal Asians have less limb skeletal muscle

Mi-Yeon Song1,2, Jaehee Kim1,3, Mary Horlick1,4, Jack Wang1, Richard N. Pierson Jr.1, Moonseong Heo1, and Dympna Gallagher1,2

1 Department of Medicine, Obesity Research Center, St. Luke's-Roosevelt Hospital, and 4 Childrens Hospital, College of Physicians and Surgeons, Columbia University, New York 10025; and 2 Institute of Human Nutrition and 3 Department of Biobehavioral Sciences, Teachers College, New York, New York 10027


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Skeletal muscle mass in prepubertal Asian children has not been examined previously. The aims of this study were to test the hypotheses that 1) prepubertal Asians have less appendicular skeletal muscle (ASM) mass compared with African-Americans and Caucasians, and 2) ASM is less in prepubertal Asian girls compared with Asian boys. ASM was estimated by using dual-energy X-ray absorptiometry in healthy prepubertal girls (n = 170) and boys (n = 166). The results showed that, after adjusting for age, height, and body weight, 1) Asian girls and boys had less amounts of ASM than African-Americans (P < 0.001); 2) Asian girls had less amounts of ASM than Caucasian girls (P = 0.004); 3) there was a trend towards less ASM in Asian compared with Caucasian boys (P = 0.07); 4) and Asian girls had significantly less ASM than Asian boys (P < 0.001). This study indicates that skeletal muscle mass as a fraction of body weight is smaller in Asian compared with African-American and Caucasian children.

African-American; Caucasian; pediatrics


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

SKELETAL MUSCLE HAS A CENTRAL role in intermediary metabolism, aerobic power, and strength. Its mass increases as a portion of body weight during growth, accounting for 21% at birth, 36% at adolescence, and 45% in adulthood (13). Observed gender differences in fracture risk in adults have led to investigation of childhood race and gender differences in bone mineral mass and its growth (3, 4, 15). Similarly, differences in risk for metabolic disorders, even in adolescence, suggest the importance of evaluation of race and gender differences in skeletal muscle mass in children, especially before the dramatic changes of puberty (1, 5, 11, 12, 19, 26).

Greater limb lean tissue mass has been reported in African-American compared with Caucasian children throughout Tanner stages 1-5 (31). Ellis et al. (3, 4) reported race differences in fat-free mass (FFM) between 5- to 7-yr-old African-American and Caucasian children. A failure to control for pubertal staging has left many other reports less easy to interpret. Race differences in total body bone mineral content (TBBMC), adjusted for total body bone area, age, height, and weight, have been reported in prepubertal African-American, Asian, and Caucasian girls and boys. African-American children had greater TBBMC than Asian and Caucasian children (15), whereas no differences were found between Asian and Caucasian children.

Gender differences in lean body mass (LBM) (2-4, 7, 33) have been reported from birth throughout childhood, with girls having smaller amounts than boys. A recent report from a longitudinal analysis of children followed from Tanner 1-5 found that Tanner 1 girls had smaller limb lean mass than boys (31). TBBMC was reported to be smaller in Tanner 1 girls compared with boys among African-Americans, Asians, and Caucasians (15).

The availability of dual-energy X-ray absorptiometry (DXA) has provided a technique that allows for the indirect assessment of total body and regional lean tissue mass in both pediatric and adult populations. Skeletal muscle mass is the largest component of lean tissue mass. Appendicular skeletal muscle (ASM) accounts for >74% of total body skeletal muscle in adults (30). Previous studies in adults (14, 17) support the validity of DXA estimates of ASM, which represents the combined lower and upper limb fat-free soft tissues. Earlier studies in adults from our laboratory reported significantly larger amounts of ASM in boys compared with girls and in African-Americans compared with Caucasians, after adjusting for stature, weight, and age (10).

Of interest to us was whether gender and race differences evident in adulthood already exist in prepuberty. Little is known about body composition (including skeletal muscle mass) in Asians and whether Asians are similar to or different from African-Americans and Caucasians. The essential role of skeletal muscle in many physiological processes throughout the lifespan makes understanding of factors affecting it significant. The recently reported greater incidence of Type 2 diabetes mellitus in adolescents in the USA (particularly in girls from minority populations) (1, 5, 11, 12, 26) and in Japan, for example (20), makes evaluation of race and gender differences in pediatric skeletal muscle mass especially important. Identification and characterization of differences could form the basis for further investigation of the associated metabolic implications.

The primary aim of this study was to test the hypothesis that prepubertal Asians have less ASM mass compared with African-Americans and Caucasians. We carried out this aim by examining in a cross-sectional cohort the independent effect of race on DXA-measured ASM mass, after controlling for age, stature, and body weight.

The second aim of this study was to test the hypothesis that ASM is smaller in prepubertal Asian girls compared with Asian boys, after controlling for age, stature, and body weight.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Protocol

All medical and body composition evaluations were carried out on the same day with the subject clothed in a hospital gown and without shoes. Subjects reported for testing to the Body Composition Unit, St. Luke's-Roosevelt Hospital Center. The study was approved by the Institutional Review Board of St. Luke's-Roosevelt Hospital, and a parent or guardian of the subject gave written consent to participate.

Subjects

Subjects were 170 girls (67 Asian, 46 African-American, and 57 Caucasian) and 166 boys (69 Asian, 32 African-American, and 65 Caucasian) who had participated in a multiracial body composition investigation (15). Recruitment of subjects occurred over a 5-yr period through local schools and flyers posted in the local community. Inclusion criteria required that subjects be prepubertal, ambulatory with no orthopedic problems that could potentially affect any of the variables under investigation, and healthy without any diagnosed medical conditions. Pubertal status was established according to the criteria of Tanner (32) by a pediatrician or pediatric nurse practitioner, and only Tanner 1 subjects were included in the present analyses.

Race was determined by self-report. All parents and grandparents for each child were required to be Asian (for Asians), non-Hispanic African-American (for African-Americans), and non-Hispanic Caucasian (for Caucasians). The Asians were of Chinese and Korean descent.

Body Composition

Body weight was determined from the sum of fat, lean, and bone mineral masses by whole body DXA, which is provided as a routine software feature. Height was measured to the nearest 0.5 cm with a stadiometer (Holtain, Crosswell, Wales). FFM was determined as the difference between DXA-derived body weight and DXA fat mass.

ASM

Total body fat, fat-free body mass, and ASM mass were measured with a whole body DXA (DPX, Lunar Radiation, Madison, WI). Pediatric software version 3.8G was used to analyze all of the DXA scans.

The calculation of ASM mass has been previously described in detail (24). With the use of specific anatomic landmarks, the legs and arms are isolated on the skeletal X-ray planogram (anterior view) (Fig. 1). The arm encompasses all tissue extending from the center of the arm socket to the phalange tips, avoiding contact with the ribs, pelvis, or greater trochanter. The leg consists of all tissue extending from an angled line drawn through the femoral neck to the phalange tips. The system software provides the total mass, ratio of soft tissue attenuations, and bone mineral mass for the isolated regions. The ratio of soft tissue attenuation for each region was used to divide bone mineral-free tissue of the extremities into fat and fat-free components. The fat-free soft tissue of the extremities was assumed to represent ASM.


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Fig. 1.   Dual-energy X-ray absorptiometry planogram demonstrating cut points that determine arm and leg regions. Appendicular skeletal muscle (ASM) is the sum of lean soft tissue from both arms and legs.

ASM was taken as the combined sum of leg and arm fat-free soft tissue. Repeated daily measurements over 5 days in four adult subjects showed a coefficient of variation (CV; mean ± SD) of 2.2 ± 0.6% for arm skeletal muscle and 1.5 ± 0.9% for leg skeletal muscle. In prepubertal girls, 6-wk apart measurement showed a CV of 2.30% of total body FFM, 4.09% for total arm mass, and 2.75% for total leg mass (6). An anthropomorphic spine phantom made up of calcium hydroxyapatite embedded in a 17.5 × 15 × 17.5 cm block was scanned for quality control each morning before subject evaluation. The phantom was also scanned immediately before and after all DXA system manufacturer maintenance visits. The measured phantom bone mineral density was stable throughout the study period at 1.166-1.196 g/cm2. Ethanol and water bottles (8-liter volume), simulating fat and fat-free soft tissues, respectively, were scanned as soft tissue quality control markers monthly. The range in measured R values over the study period was 1.255-1.258 (CV = 0.127%) and 1.367-1.371 (CV = 0.103%), for ethanol and water, respectively.

ASM Measurement Method

Unpublished data from our laboratory in nine prepubertal girls and boys show DXA-measured ASM and magnetic resonance imaging (MRI)-derived skeletal muscle mass to be highly correlated (r = 0.92). Skeletal muscle mass was measured by using whole body multislice MRI. The pediatric protocol involved the acquisition of ~35-40 axial images, 10-mm thickness, and at 25-mm intervals across the whole body with the use of a 1.5-T scanner (6X Horizon, General Electric, Milwaukee, WI). The technical errors for repeated measurements of the same scan by the same observer of MRI-derived skeletal muscle tissue volume in our laboratory are 0.7% (9). MRI volume estimates were converted to mass by using assumed stable density of 1.04 g/cm2 (30).

DXA- and MRI-measured lower limb skeletal muscle mass have been shown to be highly correlated (r = 0.94, P < 0.001) in adults (29). DXA-measured ASM and computerized axial tomography-derived total body skeletal muscle mass have been shown to be highly correlated (r = 0.95, P < 0.001) in adults (35). Similarly, high correlations have been found between DXA-measured ASM and MRI-derived total body skeletal muscle mass in adults (r = 0.98) (18).

Statistical Analysis

Data were analyzed by using the statistical program SPSS version 8.0 (1997, SPSS Institute, Chicago, IL). Between-race differences in baseline subject characteristics were tested by using a one-way ANOVA for each gender, followed by pairwise multiple-comparison tests with Bonferroni correction. Pearson's correlation coefficients were used to establish the univariate relationships between ASM and other body composition components and subject demographic characteristics. To assess the effects of race and gender on ASM, ASM mass was used as the dependent variable, and race and gender were fitted after adjustment for height, weight, and age in multiple-regression models. To assess the effects of height, weight, and age on ASM within race- and gender-specific groups, ASM mass was used as the dependent variable, and height, weight, and age were used as the independent variables in multiple-regression models. Potential interaction terms were explored for selected variables. Statistical significance was set at P < 0.05, and, for multiple-comparison tests, the P values were adjusted. Group subject data are expressed as means ± SD.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subject Characteristics

The subject characteristics are summarized in Table 1. There were no differences in age, weight, height, body mass index, and percent body fat among the three girl race groups. The Asian girls had less FFM (P = 0.01), ASM mass (P < 0.001), and TBBMC (P = 0.002) than the African-American girls. Asian girls had less FFM (P = 0.02), ASM mass (P = 0.02), and TBBMC (P = 0.03) than the Caucasian girls.

                              
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Table 1.   Subject characteristics

There were no differences in age, weight, height, body mass index, and FFM among the three male race groups. African-American boys had a trend toward larger ASM mass than the Caucasian boys (P = 0.07).

ASM Univariate Correlations

ASM mass was significantly and positively correlated with age, height, body weight, body mass index, and fat-free body mass (all P < 0.01) in Asian, Caucasian, and African-American girls and boys (Table 2). ASM was highly correlated with FFM (r = 0.98-0.99) in all groups.

                              
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Table 2.   ASM mass univariate correlations

ASM Mass

ASM mass multiple-regression models for the six subgroups (Asian girls and boys, Caucasian girls and boys, African-American girls and boys) explored the independent effects of height, weight, and age on ASM (Table 3).

                              
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Table 3.   ASM mass multiple regression analysis models

Height, weight, and age. With the use of multiple-regression analyses to predict ASM, height and body weight explained between 90 and 95% of the ASM variance in all six subgroups. Only in Caucasian girls did age contribute significantly to the multiple-regression model (P = 0.002).

Gender. After adjusting for height, body weight, and age, Asian girls had smaller ASM compared with Asian boys (P < 0.001). However, gender differences in ASM were also found in Caucasians and African-Americans (P < 0.001) (Fig. 2, gender). The magnitude of the gender difference in ASM was not different across race groups. The gender effects on ASM were dependent on weight and height across all race groups (all P < 0.05). The gender effect on ASM increased as height and weight increased.


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Fig. 2.   ASM mass in girls (solid bars) and boys (open bars) for Asians, Caucasians, and African-Americans. Values are means adjusted for height, weight, and age. * Significant difference in girls vs. boys in each race group, P < 0.001.

Race. After adjusting for height, weight, and age, Asian girls and boys had less ASM than Caucasian girls (P = 0.004) and boys (P = 0.07). Asian and Caucasian girls and boys had less ASM compared with African-American girls (P < 0.001) and boys (P < 0.001) (Fig. 3, race). Within Asian and Caucasian girls, the race effect on ASM was dependent on height. As height increased, the differences in ASM between Asian and Caucasian girls increased (P = 0.019) (Fig. 4). Specifically, Asian girls tended to have more ASM than Caucasian girls at shorter heights and less ASM at taller heights. The slope of the regression line for African-American girls was not significantly different from that for Asian and Caucasian girls (Fig. 4). No race interaction effects were observed in boys.


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Fig. 3.   ASM mass in Asian, Caucasian (Cauc), and African-American (AA) girls and boys. Values are means adjusted for height, weight, and age. Significant differences: * Asian vs. African-American, P < 0.001; dagger  Asian vs. Caucasian, P = 0.004 (girls) and P = 0.07 (boys); Dagger  Caucasian vs. African-American, P < 0.001.



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Fig. 4.   ASM mass vs. height in African-American (open circle ), Caucasian (-), and Asian (black-triangle) girls (A) and boys (B). Dashed, solid, and dotted lines represent the linear regression lines for African-American, Caucasian, and Asian, respectively. A: African-American: ASM = 18.3 [height (m)] - 13.74, r2 = 0.78, SE of estimate (SEE) = 0.90, P < 0.001, n = 46. Caucasian: ASM = 20.7 [height (m)] - 17.53, r2 = 0.85, SEE = 0.98, P < 0.001, n = 57. Asian: ASM = 17.2 [height (m)] - 13.46, r2 = 0.77, SEE = 0.81, P < 0.001, n = 67. B: African-American: ASM = 25.6 [height (m)] - 22.26, r2 = 0.80, SEE = 1.42, P < 0.001, n = 32. Caucasian: ASM = 25.1 [height (m)] - 22.88, r2 = 0.86, SEE = 1.05, P < 0.001, n = 65. Asian: ASM = 24.2 [height (m)] - 21.75, r2 = 0.85, SEE = 1.06, P < 0.001, n = 69.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

This study, to our knowledge the first including Asian children, shows that, after adjusting for height, weight, and age, prepubertal Asian girls and boys have less ASM mass compared with Caucasians and African-Americans. The present findings demonstrate prepubertal sexual dimorphism of ASM in Asians, as they do for the other races, and extend previous reports of gender differences in FFM in prepubertal children to Asians (2-4, 7, 33). Our results indicate that race (i.e., Asian, Caucasian, and African-American) and gender are independent determinants of a prepubertal child's ASM mass.

Skeletal Muscle Mass Determinants

Height, weight, and age. Our results indicate that height and weight are the main correlates of ASM, explaining in excess of 80% of between-individual variations in this sample. Healthy children grow in height and weight with increasing age. Thus the univariate correlation of age with ASM is expected, as age alone is a proxy for normal growth. However, age was an independent contributor to ASM in the regression model for Caucasian girls only, for whom it increased the explained variance by 1.05%.

In these same prepubertal children, age was an independent determinant for adjusted TBBMC in all gender-race groups (15). Together, these two studies suggest that prepubertal individuals of the same gender, race, height, and weight, but of differing ages, will have the same ASM, but that the older child will have greater TBBMC. LBM has been reported to grow steadily during childhood, with the proportion of body weight as LBM remaining fairly constant (7, 8, 23). However, the difference between the effect of age on ASM and TBBMC observed in this population suggests that the proportion of the subcompartments of FFM (e.g., ASM and TBBMC) change during normal childhood growth.

Gender. In all race groups, ASM was smaller in girls than in boys after adjusting for stature, weight, and age. Our findings are in contrast to some previous reports (27) of no gender differences in body composition by DXA during Tanner stages 1 and 2 but are consistent with the findings of others (2-4, 7, 31, 33). The different models for determinants of ASM for girls and boys in our study imply that factors regulating gender-specific skeletal muscle mass are clearly present in children before the appearance of the physical signs of puberty. The lack of an independent effect of age suggests that the gender difference is stable through prepuberty.

The mechanism for this gender difference in unclear. Gonadal steroids are major mediators of adult sexual dimorphism of body composition, including fat-free soft tissues (28). Previous reports demonstrated that prepubertal girls have higher concentrations of circulating estradiol than prepubertal boys (21) and that gonadotropin and gonadal steroids increase gradually in both boys and girls from the age of 5 yr (25, 34). Thus prepuberty is a period with gender differences in circulating concentrations of sex steroids and of changes in these concentrations with advancing age. The earlier skeletal maturation of girls, for example, has been attributed to the greater estradiol level in girls compared with boys (21). In contrast, the gender differences observed in this cross-sectional study were stable across ages, suggesting a nonhormonal (possibly genetic) mechanism.

Race. Our study results indicate that Asians have less ASM mass than do Caucasians and African-Americans and Caucasians have less ASM mass than do African-Americans. The significantly less ASM of prepubertal Asian children compared with Caucasians and African-Americans is in the same direction as that reported in adults (36). A recent report by Mackelvie et al. (22) found that Asian Tanner 1 girls have 1.7 kg less LBM than do Caucasian girls. However, no adjustment was made for the 2.5-kg weight difference between the two race groups. We are unaware of any previous studies of skeletal muscle mass in Asian children, although Ishida et al. (16) reported higher ultrasound-derived absolute muscle thicknesses in Caucasian compared with Japanese young adult women (20-30 yr) at eight sites on arms, trunk, and legs. The correlation of ASM and FFM was high within each group (Table 2). Nevertheless, when FFM was added as an independent variable (African-American vs. Caucasian, African-American vs. Asian), race was a significant variable in the regression model. Therefore, whereas larger amounts of ASM may be explained in part by larger amounts of FFM, it does not account for all of the between-race differences.

Several investigators have previously reported greater DXA-derived lean tissue mass and bone mineral content in African-American compared with Caucasian children (3, 4, 15, 31). Our findings suggest race differences in total FFM and its subcomponent ASM in prepubertal children. Of interest, in our study the differences in ASM persist after adjustment for height, weight, and age among all three race groups, whereas Horlick et al. (15) found that the only significant difference in adjusted TBBMC was between African-Americans vs. Asians and Caucasians. This suggests that the proportions of specific FFM subcomponents may differ by race. Although mechanisms leading to skeletal muscle differences among races were not explored in the present study, one previous report suggests an endocrine basis. (37).

Study Limitations

Sample representativeness. The participants in our study were volunteers from the New York metropolitan area and not randomly selected. All subjects were in good health but may not be representative of the general pediatric population. The minimum and maximum ages of the study population were 5 and 12 yr, respectively, and, therefore, our regression models may not be indicative of ASM in younger and older prepubertal children.

Conclusions

The prepubertal period as defined by Tanner stage 1 is a dynamic phase exhibiting both gender and race dimorphisms in regional skeletal muscle mass. These data are the first to demonstrate a less amount of ASM in prepubertal Asian children compared with Caucasian and African-American children. In addition, gender differences in ASM are present before the onset of puberty in Asians, Caucasians, and African-Americans. These findings confirm that body composition should be interpreted according to gender and race and, in particular, that different standards for skeletal muscle may be applicable to Asian children.

The central role of skeletal muscle in intermediary metabolism and in the development and maintenance of bone mass throughout the lifespan means that factors that mediate skeletal muscle need to be understood. This study demonstrates some of the race and gender characteristics of prepubertal skeletal muscle mass and provides a basis for investigation of the associated health and metabolic implications.


    ACKNOWLEDGEMENTS

This study was supported in part by National Institutes of Health Grants RO1-DK-37352, R29-AG-14715, and DK-42618.


    FOOTNOTES

Address for reprint requests and other correspondence: D. Gallagher, Obesity Research Center, 1090 Amsterdam Ave., New York, NY 10025 (E-mail: dg108{at}columbia.edu).

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

First published February 8, 2002;10.1152/japplphysiol.01066.2001

Received 23 October 2001; accepted in final form 24 January 2002.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

1.   American Diabetes Association. Type 2 diabetes in children and adolescents. Pediatrics 105: 671-680, 2000[Free Full Text].

2.   Butte, NF, Hopkinson JM, Wong WW, Smith EO, and Ellis KJ. Body composition during the first 2 years of life: an updated reference. Pediatr Res 47: 578-585, 2000[ISI][Medline].

3.   Ellis, KJ. Body composition of a young, multiethnic, male population. Am J Clin Nutr 66: 1323-1331, 1997[Abstract/Free Full Text].

4.   Ellis, KJ, Abrams SA, and Wong WW. Body composition reference data for a young multiethnic female population. Appl Radiat Isot 49: 587-588, 1998[ISI][Medline].

5.   Fagot-Campagna, A, Pettitt DJ, Engelgau MM, Burrows MR, Geiss LS, Valdez R, Beckles GLA, Saaddine J, Gregg EW, Williamson DF, and Narayan KMV Type 2 diabetes among North American children and adolescents: an epidemiologic review and a public health perspective. J Pediatr 136: 664-672, 2000[ISI][Medline].

6.   Figueroa-Colon, R, Mayo MS, Treuth MS, Aldridge RA, and Weinsier RL. Reproducibility of dual-energy X-ray absorptiometry measurements in prepubertal girls. Obes Res 6: 262-267, 1998[ISI][Medline].

7.   Fomon, SJ, Haschke F, Ziegler EE, and Nelson SE. Body composition of reference children from birth to age 10 years. Am J Clin Nutr 35: 1169-1175, 1982[Free Full Text].

8.   Forbes, GB. Human Body Composition. New York: Springer-Verlag, 1987, p. 153-157.

9.   Gallagher, D, Kovera AJ, Clay-Williams G, Agin D, Leone P, Albu J, Matthews DE, and Heymsfield SB. Weight loss in post-menopausal women: no evidence of adverse alterations in body composition. Am J Physiol Endocrinol Metab 279: E124-E131, 2000[Abstract/Free Full Text].

10.   Gallagher, D, Visser M, De Meersman RE, Sepulveda D, Baumgartner RN, Pierson RN, Harris T, and Heymsfield SB. Appendicular skeletal muscle mass: effects of age, gender, and ethnicity. J Appl Physiol 83: 229-239, 1997[Abstract/Free Full Text].

11.   Gilsanz, V, Kovanlikaya A, Costin G, Roe TF, Sayre J, and Kaufman F. Differential in effects of gender on the sizes of bones in the axial and appendicular skeleton. J Clin Endocrinol Metab 82: 1603-1607, 1997[Abstract/Free Full Text].

12.   Gilsanz, V, Roe TF, Mora S, Costin G, and Goodman WG. Changes in vertebral bone density in Black girls and White girls during childhood and puberty. N Engl J Med 325: 1597-1600, 1991[Abstract].

13.   Heymsfield, SB, Gallagher D, Visser M, Nunez C, and Wang Z. Measurement of skeletal muscle: laboratory and epidemiological methods. J Gerontol 50A: 23-29, 1995.

14.   Heymsfield, SB, Smith R, Aulet M, Bensen B, Lichtman S, Wang J, and Pierson RN, Jr. Appendicular skeletal muscle mass: measurement by dual-photon absorptiometry. Am J Clin Nutr 52: 214-228, 1990[Abstract/Free Full Text].

15.   Horlick, M, Thornton J, Wang J, Levine LS, Fedun B, and Pierson RN, Jr. Bone mineral in prepubertal children: gender and ethnicity. J Bone Miner Res 15: 1393-1397, 2000[ISI][Medline].

16.   Ishida, Y, Kanehisa H, Fukunaga T, and Pollock ML. A comparison of fat and muscle thickness in Japanese and American women. Ann Physiol Anthropol 11: 29-35, 1992[Medline].

17.   Jebb, SA, Goldberg GR, and Elia M. DXA measurements of fat and bone mineral in relation to depth and adiposity. In: Human Body Composition: In vivo Methods, Models and Assessment, edited by Ellis KJ, and Eastman JD.. New York: Plenum, 1993, p. 115-119.

18.  Kim J, Wang Z, Heymsfield SB, Baumgartner RN, and Gallagher D. Total-body muscle mass: estimation by new dual-energy X-ray absorptimetry method. Am J Clin Nutr In press.

19.   Kitagawa, T, Owada M, Urakami T, and Tajima N. Epidemiology of type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in Japanese children. Diabetes Res Clin Pract 24, Suppl: S7-S13, 1994.

20.   Kitagawa, T, Owada M, Urakami T, and Yamauchi K. Increased incidence of non-insulin dependent diabetes mellitus among Japanese schoolchildren correlates with an increased intake of animal protein and fat. Clin Pediatr (Phila) 37: 111-115, 1998.

21.   Klein, KO, Baron J, Colli MJ, McDonnell DP, and Cutler GB, Jr. Estrogen levels in childhood determined by an ultrasensitive recombinant cell bioassay. J Clin Invest 94: 2475-2480, 1994[ISI][Medline].

22.   Mackelvie, KJ, McKay HA, Khan KM, and Crocker PR. Lifestyle risk factors for osteoporosis in Asian and Caucasian girls. Med Sci Sports Exerc 33: 1818-1824, 2001[ISI][Medline].

23.   Maynard, LM, Wisemandle W, Roche AF, Chumlea WC, Guo SS, and Siervogel RM. Childhood body composition in relation to body mass index. Pediatrics 107: 344-350, 2001[Abstract/Free Full Text].

24.   Mazess, RB, Barden HS, Bisek JP, and Hanson J. Dual-energy x-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition. Am J Clin Nutr 51: 1106-1112, 1990[Abstract/Free Full Text].

25.   Mitamura, R, Yano K, Suzuki N, Ito Y, Makita Y, and Okuno A. Diurnal rhythms of luteinizing hormone, follicle-stimulating hormone, testosterone and estradiol secretion before the onset of female puberty in short children. J Clin Endocrinol Metab 85: 1074-1080, 2000[Abstract/Free Full Text].

26.   Pinhas-Hamiel, O, Dolan LM, Daniels SR, Standiford D, Khoury PR, and Zeitler P. Increased incidence of non-insulin dependent diabetes mellitus among adolescents. J Pediatr 128: 608-615, 1996[ISI][Medline].

27.   Rico, H, Revilla M, Villa LF, Hernandez ER, Alvarez de Buergo M, and Villa M. Body composition in children and Tanner's stages: a study with dual-energy x-ray absorptiometry. Metabolism 42: 967-970, 1993[ISI][Medline].

28.   Rosenbaum, M, and Leibel RL. Role of gonadal steroids in the sexual dimorphisms in body composition and circulating concentrations of leptin. J Clin Endocrinol Metab 84: 1784-1789, 1999[Free Full Text].

29.   Shih, R, Wang Z, Heo M, Wang W, and Heymsfield SB. Lower limb skeletal muscle mass: development of dual-energy X-ray absorptiometry prediction model. J Appl Physiol 89: 1380-1386, 2000[Abstract/Free Full Text].

30.   Snyder, WS, Cook MJ, Nasset ES, Karhausen LR, Howells GP, and Tipton IH. Report of the task group on reference men. In: 23rd International Commission on Radiological Protection. Oxford, UK: Pergamon, 1975.

31.   Sun, M, Gower BA, Bartolucci AA, Hunter GR, Figueroa-Colon R, and Goran MI. A longitudinal study of resting energy expenditure relative to body composition during puberty in African American and White children. Am J Clin Nutr 73: 308-315, 2001[Abstract/Free Full Text].

32.   Tanner, JM. Growth and Adolescence (2nd Ed.). Oxford, UK: Blackwell, 1962.

33.   Taylor, RW, Gold E, Manning P, and Goulding A. Gender differences in body fat content are present well before puberty. Int J Obes Relat Metab Disord 21: 1082-1084, 1997[ISI][Medline].

34.   Veldhius, JD, Pincus SM, Mitamura R, Yano K, Suzuki N, Ito Y, Makita Y, and Okuno A. Developmentally delimited emergence of more orderly luteinizing hormone and testosterone secretion during late prepuberty in boys. J Clin Endocrinol Metab 86: 80-89, 2001[Abstract/Free Full Text].

35.   Wang, Z, Visser M, Ma R, Baumgartner RN, Kotler D, Gallagher D, and Heymsfield SB. Skeletal muscle mass: evaluation of neutron activation and dual energy X-ray absorptiometry methods. J Appl Physiol 80: 824-831, 1996[Abstract/Free Full Text].

36.   Xia, L, Gallagher D, Wang J, Wang Z, Thornton JC, and Pierson RN, Jr. Appendicular skeletal muscle mass (ASM) is lower in Asian males (AM) than in white males (WM) (Abstract). FASEB J 10: A733, 1996.

37.   Yanovski, JA, Sovik KN, Nguyen TT, and Sebring NG. Insulin-like growth factors and bone mineral density in African American and White girls. J Pediatr 137: 826-832, 2000[ISI][Medline].


J APPL PHYSIOL 92(6):2285-2291
8750-7587/02 $5.00 Copyright © 2002 the American Physiological Society



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