Literature DB >> 8988351

The accumulation of whole body skeletal mass in third- and fourth-grade children: effects of age, gender, ethnicity, and body composition.

D A Nelson1, P M Simpson, C C Johnson, D A Barondess, M Kleerekoper.   

Abstract

The purpose of this longitudinal study is to describe bone mass and body composition, and the annual changes in these measurements, among third grade students recruited from a suburban school district. Whole body bone mineral content (WBBMC), bone mineral density (WBBMD), fat, and lean mass were measured by dual-energy X-ray absorptiometry. Bone mass in the lumbar spine (LBMC) region of the whole body scan was also utilized. 773 students (38% white, 57% black, 5% other) had baseline visits; 561 had a second measurement a year later. At baseline, black children have significantly higher WBBMC, WBBMD, height, and lean mass than whites. Black males, but not black females, have a greater LBMC. There are no significant gender differences in body size, WBBMC, or WBBMD, although girls have a greater LBMC and fat mass, and boys have a higher lean mass. Most of these differences persist in visit 2. The annual change in bone and lean mass is greater in blacks. Stepwise linear regression analyses of bone mass on body size, gender, and ethnicity and their interactions indicate that log-transformed weight explains most of the variance in both WBBMC and WBBMD (multiple r2 = 0.90 and 0.64, respectively). There are significant black/white differences in intercepts and slopes. Other variables explain only another 1%-2% of the variance. The strongest Pearson correlations are between changes in bone mass and changes in lean mass and log-transformed weight (r ranging from 0.62 to 0.84, p = 0.0001). We conclude that there is a significant black/white, but not male/female difference in whole body bone mass and bone density before puberty. Ethnic and gender differences in bone and body composition suggest that the lean component may contribute to a greater peak bone mass in blacks vs. whites, and perhaps in males vs. females.

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Year:  1997        PMID: 8988351     DOI: 10.1016/s8756-3282(96)00312-2

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  28 in total

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Authors:  Fatima Baptista; Ana Varela; Luis B Sardinha
Journal:  Osteoporos Int       Date:  2004-09-09       Impact factor: 4.507

2.  UK reference data for the Hologic QDR Discovery dual-energy x ray absorptiometry scanner in healthy children and young adults aged 6-17 years.

Authors:  Kate A Ward; Rebecca L Ashby; Steven A Roberts; Judith E Adams; M Zulf Mughal
Journal:  Arch Dis Child       Date:  2006-08-30       Impact factor: 3.791

3.  Differences in bone size and bone mass between black and white 10-year-old South African children.

Authors:  L Vidulich; S A Norris; N Cameron; J M Pettifor
Journal:  Osteoporos Int       Date:  2005-12-14       Impact factor: 4.507

4.  The role of lean body mass and physical activity in bone health in children.

Authors:  Fátima Baptista; Carlos Barrigas; Filomena Vieira; Helena Santa-Clara; Pedro Mil Homens; Isabel Fragoso; Pedro J Teixeira; Luís B Sardinha
Journal:  J Bone Miner Metab       Date:  2011-07-07       Impact factor: 2.626

5.  Racial differences in cortical bone and their relationship to biochemical variables in Black and White children in the early stages of puberty.

Authors:  S J Warden; K M Hill; A J Ferira; E M Laing; B R Martin; D B Hausman; C M Weaver; M Peacock; R D Lewis
Journal:  Osteoporos Int       Date:  2012-10-24       Impact factor: 4.507

6.  Determinants of axial and peripheral bone mass in Chinese adolescents.

Authors:  J C Cheng; S S Leung; W T Lee; J T Lau; N Maffulli; A Y Cheung; K M Chan
Journal:  Arch Dis Child       Date:  1998-06       Impact factor: 3.791

7.  Runx-2 gene expression is associated with age-related changes of bone mineral density in the healthy young-adult population.

Authors:  Mirko Zanatta; Maria Teresa Valenti; Luca Donatelli; Chiara Zucal; Luca Dalle Carbonare
Journal:  J Bone Miner Metab       Date:  2012-08-18       Impact factor: 2.626

8.  Bone mass in schoolchildren in Brazil: the effect of racial miscegenation, pubertal stage, and socioeconomic differences.

Authors:  Roberto Regis Ribeiro; Gil Guerra-Junior; Antonio de Azevedo Barros-Filho
Journal:  J Bone Miner Metab       Date:  2009-03-13       Impact factor: 2.626

9.  Pediatric reference curves for multi-site quantitative ultrasound and its modulators.

Authors:  Zvi Zadik; Dario Price; Gary Diamond
Journal:  Osteoporos Int       Date:  2003-08-12       Impact factor: 4.507

10.  Bone mineral content and density of the lumbar spine of infants and toddlers: influence of age, sex, race, growth, and human milk feeding.

Authors:  Heidi J Kalkwarf; Babette S Zemel; Kimberly Yolton; James E Heubi
Journal:  J Bone Miner Res       Date:  2013-01       Impact factor: 6.741

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