Prediction of Areal Bone Mineral Density and Bone Mineral Content in Children and Adolescents Living With HIV Based on Anthropometric Variables

被引:7
|
作者
Augustemak de Lima, Luiz Rodrigo [1 ]
Krug, Rodrigo de Rosso [2 ]
Rosendo da Silva, Rosane Carla [1 ]
de Carvalho, Aroldo Prohmann [3 ,4 ,5 ]
Gonzalez-Chica, David Alejandro [6 ]
Back, Isabela de Carlos [7 ]
Petroskil, Edio Luiz [1 ]
机构
[1] Univ Fed Santa Catarina, Grad Program Phys Educ, Sports Ctr, Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Grad Program Med Sci, Hlth Sci Ctr, Florianopolis, SC, Brazil
[3] Hosp Infantil Joana de Gusmao, Florianopolis, SC, Brazil
[4] Univ Fed Santa Catarina, Florianopolis, SC, Brazil
[5] Vale do Itajai Univ, Florianopolis, SC, Brazil
[6] Univ Adelaide, Sch Med, Discipline Gen Practice, Adelaide, SA, Australia
[7] Univ Fed Santa Catarina, Grad Program Publ Hlth, Hlth Sci Ctr, Florianopolis, SC, Brazil
关键词
Acquired immunodeficiency syndrome; anthropometry; bone density; HIV; osteoporosis; BODY-COMPOSITION; YOUNG-ADULTS; ABSORPTIOMETRY; HEALTHY; MASS;
D O I
10.1016/j.jocd.2015.06.001
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Children and adolescents living with HIV have low bone mass for age. There are reliable and accurate methods for evaluation of bone mass, however, alternative methods are necessary, especially, for application in limited resource scenarios. Anthropometry is a noninvasive and low cost method that can predict bone mass in healthy youths. The aim of the study was to develop predictive equations for bone mineral content and bone mineral density in children and adolescents living with HIV based on anthropometric variables. Forty-eight children and adolescents of both sexes (24 females) from 7 to 17 years, living in greater Florianopolis area, Santa Catarina, Brazil, who were under clinical follow-up at "Hospital Infantil Joana de Gusmao", participated in the study. Dual-energy X-ray absorptiometry was used to evaluate whole-body bone mineral content (BMC) and areal bone mineral density (aBMD). Height, body weight, bone diameters, arm circumference, and triceps skinfold were measured and the body mass index and arm muscle area were calculated. Multiple regression models were fitted to predict BMC and aBMD, using backward selection (p >= 0.05). Two predictive models with high R-2 values (84%-94%) were developed. Model 1 to estimate aBMD [Y = -0.1450124 + (height x 0.0033807) + (age x 0.0146381) + (body mass index x 0.0158838) + (skin color x 0.0421068)], and model 2 to estimate BMC [Y = 1095.1 + (body weight x 45.66973) + (age x 31.36516) + (arm circumference x -53.27204) + (femoral diameter x -9.594018)]. The predictive models using anthropometry provided reliable estimates and can be useful to monitor aBMD and BMC in children and adolescents living with human immunodeficiency virus where limited resources are available.
引用
收藏
页码:457 / 464
页数:8
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