Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models

Igor Massari Correia, Anderson Marliere Navarro, Jéssica Fernanda Corrêa Cordeiro, Euripedes Barsanulfo Gonçalves Gomide, Lisa Fernanda Mazzonetto, Alcivandro de Sousa Oliveira, Emerson Sebastião, Bruno Augusto Aguilar, Denise de Andrade, Dalmo Roberto Lopes Machado and André Pereira dos Santos ()
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Igor Massari Correia: School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-900, Brazil
Anderson Marliere Navarro: Faculty of Medicine, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14049-900, Brazil
Jéssica Fernanda Corrêa Cordeiro: College of Nursing, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-902, Brazil
Euripedes Barsanulfo Gonçalves Gomide: College of Nursing, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-902, Brazil
Lisa Fernanda Mazzonetto: School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-900, Brazil
Alcivandro de Sousa Oliveira: School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-900, Brazil
Emerson Sebastião: Health and Exercise Research Group, Department of Kinesiology and Physical Education, Northern Illinois University, Dekalb, IL 60115, USA
Bruno Augusto Aguilar: Faculty of Medicine, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14049-900, Brazil
Denise de Andrade: College of Nursing, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-902, Brazil
Dalmo Roberto Lopes Machado: School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-900, Brazil
André Pereira dos Santos: School of Physical Education and Sport of Ribeirao Preto, University of Sao Paulo at Ribeirao Preto, Sao Paulo 14040-900, Brazil

IJERPH, 2022, vol. 19, issue 19, 1-14

Abstract: 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 (r 2 = 0.70; SEE = 199.97 g; Q 2 PRESS = 0.67; SEE PRESS = 208.65 g) and females (r 2 = 0.65; SEE = 220.96 g; Q 2 PRESS = 0.62; SEE PRESS = 221.90 g). Our anthropometric predictive models for BMC are valid, practical, and a low-cost alternative to monitoring bone health in PWH.

Keywords: acquired immunodeficiency syndrome; bone density; osteoporosis; aging (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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