TY - JOUR
T1 - Bone Mineral Content Estimation in People Living with HIV
T2 - Prediction and Validation of Sex-Specific Anthropometric Models
AU - Correia, Igor Massari
AU - Navarro, Anderson Marliere
AU - Corrêa Cordeiro, Jéssica Fernanda
AU - Gomide, Euripedes Barsanulfo Gonçalves
AU - Mazzonetto, Lisa Fernanda
AU - de Sousa Oliveira, Alcivandro
AU - Sebastião, Emerson
AU - Aguilar, Bruno Augusto
AU - de Andrade, Denise
AU - Machado, Dalmo Roberto Lopes
AU - dos Santos, André Pereira
N1 - Funding Information:
This study was funded in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES; code 001) and by the National Council for Scientific and Technological Development of Brazil (CNPq; grant number 141536/2016-0).
Publisher Copyright:
© 2022 by the authors.
PY - 2022/10
Y1 - 2022/10
N2 - People living with HIV (PWH) experience an accelerated reduction in bone mineral content (BMC), and a high risk of osteopenia and osteoporosis. Anthropometry is an accurate and low-cost method that can be used to monitor changes in body composition in PWH. To date, no studies have used anthropometry to estimate BMC in PWH. To propose and validate sex-specific anthropometric models to predict BMC in PWH. This cross-sectional study enrolled 104 PWH (64 males) aged >18 years at a local university hospital. BMC was measured using dual energy X-ray absorptiometry (DXA). Anthropometric measures were collected. We used linear regression analysis to generate the models. Cross-validations were conducted using the “leave one out”, from the predicted residual error sum of squares (PRESS) method. Bland–Altman plots were used to explore distributions of errors. We proposed models with high coefficient of determination and reduced standard error of estimate for males (r2 = 0.70; SEE = 199.97 g; Q2PRESS = 0.67; SEEPRESS = 208.65 g) and females (r2 = 0.65; SEE = 220.96 g; Q2PRESS = 0.62; SEEPRESS = 221.90 g). Our anthropometric predictive models for BMC are valid, practical, and a low-cost alternative to monitoring bone health in PWH.
AB - People living with HIV (PWH) experience an accelerated reduction in bone mineral content (BMC), and a high risk of osteopenia and osteoporosis. Anthropometry is an accurate and low-cost method that can be used to monitor changes in body composition in PWH. To date, no studies have used anthropometry to estimate BMC in PWH. To propose and validate sex-specific anthropometric models to predict BMC in PWH. This cross-sectional study enrolled 104 PWH (64 males) aged >18 years at a local university hospital. BMC was measured using dual energy X-ray absorptiometry (DXA). Anthropometric measures were collected. We used linear regression analysis to generate the models. Cross-validations were conducted using the “leave one out”, from the predicted residual error sum of squares (PRESS) method. Bland–Altman plots were used to explore distributions of errors. We proposed models with high coefficient of determination and reduced standard error of estimate for males (r2 = 0.70; SEE = 199.97 g; Q2PRESS = 0.67; SEEPRESS = 208.65 g) and females (r2 = 0.65; SEE = 220.96 g; Q2PRESS = 0.62; SEEPRESS = 221.90 g). Our anthropometric predictive models for BMC are valid, practical, and a low-cost alternative to monitoring bone health in PWH.
KW - acquired immunodeficiency syndrome
KW - aging
KW - bone density
KW - osteoporosis
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U2 - 10.3390/ijerph191912336
DO - 10.3390/ijerph191912336
M3 - Article
C2 - 36231634
AN - SCOPUS:85139812369
SN - 1661-7827
VL - 19
JO - International journal of environmental research and public health
JF - International journal of environmental research and public health
IS - 19
M1 - 12336
ER -