Bone mineral density of the lumbar spine of Brazilian children and adolescents aged 6 to 14 years

• Autor(a) principal: Fonseca, A.s.m.
• Data de Publicação: 2001
• Outros Autores: Szejnfeld, Vera Lucia [UNIFESP], Terreri, Maria Teresa Ramos Ascensão [UNIFESP], Goldenberg, J. [UNIFESP], Ferraz, Marcos Bosi [UNIFESP], Hilário, Maria Odete Esteves [UNIFESP]
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNIFESP
• Texto Completo: http://repositorio.unifesp.br/handle/11600/1116; http://dx.doi.org/10.1590/S0100-879X2001000300008
• topic: Bone mineral density; lumbar spine densitometry; Children; Adolescents

The authors performed a study of bone mass in eutrophic Brazilian children and adolescents using dual-energy X-ray absorptiometry (DXA) in order to obtain curves for bone mineral content (BMC) and bone mineral density (BMD) by chronological age and correlate these values with weight and height. Healthy Caucasian children and adolescents, 120 boys and 135 girls, 6 to 14 years of age, residents of São Paulo, Brazil, were selected from the Pediatric Department outpatient clinic of Hospital São Paulo (Universidade Federal de São Paulo (UNIFESP)). BMC, BMD and the area of the vertebral body of the L2-L4 segment were obtained by DXA. BMC and BMD for the lumbar spine (L2-L4) presented a progressive increase between 6 and 14 years of age in both sexes, with a distribution that fitted an exponential curve. We identified an increase of mineral content in female patients older than 11 years which was maintained until 13 years of age, when a new decrease in the velocity of bone mineralization occurred. Male patients presented a period of accelerated bone mass gain after 11 years of age that was maintained until 14 years of age. At 14 years of age the mean BMD values for boys and girls were 0.984 and 1.017 g/cm², respectively. A stepwise multiple regression analysis of paired variables showed that the vertebral area-age pair was the most significant in the determination of BMD values and the introduction of a third variable (weight or height) did not significantly increase the correlation coefficient.