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

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...

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Autores principales: Correia, Igor Massari, Navarro, Anderson Marliere, Corrêa Cordeiro, Jéssica Fernanda, Gomide, Euripedes Barsanulfo Gonçalves, Mazzonetto, Lisa Fernanda, de Sousa Oliveira, Alcivandro, Sebastião, Emerson, Aguilar, Bruno Augusto, de Andrade, Denise, Machado, Dalmo Roberto Lopes, dos Santos, André Pereira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566219/
https://www.ncbi.nlm.nih.gov/pubmed/36231634
http://dx.doi.org/10.3390/ijerph191912336
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author Correia, Igor Massari
Navarro, Anderson Marliere
Corrêa Cordeiro, Jéssica Fernanda
Gomide, Euripedes Barsanulfo Gonçalves
Mazzonetto, Lisa Fernanda
de Sousa Oliveira, Alcivandro
Sebastião, Emerson
Aguilar, Bruno Augusto
de Andrade, Denise
Machado, Dalmo Roberto Lopes
dos Santos, André Pereira
author_facet Correia, Igor Massari
Navarro, Anderson Marliere
Corrêa Cordeiro, Jéssica Fernanda
Gomide, Euripedes Barsanulfo Gonçalves
Mazzonetto, Lisa Fernanda
de Sousa Oliveira, Alcivandro
Sebastião, Emerson
Aguilar, Bruno Augusto
de Andrade, Denise
Machado, Dalmo Roberto Lopes
dos Santos, André Pereira
author_sort Correia, Igor Massari
collection PubMed
description 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.
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spelling pubmed-95662192022-10-15 Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models Correia, Igor Massari Navarro, Anderson Marliere Corrêa Cordeiro, Jéssica Fernanda Gomide, Euripedes Barsanulfo Gonçalves Mazzonetto, Lisa Fernanda de Sousa Oliveira, Alcivandro Sebastião, Emerson Aguilar, Bruno Augusto de Andrade, Denise Machado, Dalmo Roberto Lopes dos Santos, André Pereira Int J Environ Res Public Health Article 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. MDPI 2022-09-28 /pmc/articles/PMC9566219/ /pubmed/36231634 http://dx.doi.org/10.3390/ijerph191912336 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Correia, Igor Massari
Navarro, Anderson Marliere
Corrêa Cordeiro, Jéssica Fernanda
Gomide, Euripedes Barsanulfo Gonçalves
Mazzonetto, Lisa Fernanda
de Sousa Oliveira, Alcivandro
Sebastião, Emerson
Aguilar, Bruno Augusto
de Andrade, Denise
Machado, Dalmo Roberto Lopes
dos Santos, André Pereira
Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models
title Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models
title_full Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models
title_fullStr Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models
title_full_unstemmed Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models
title_short Bone Mineral Content Estimation in People Living with HIV: Prediction and Validation of Sex-Specific Anthropometric Models
title_sort bone mineral content estimation in people living with hiv: prediction and validation of sex-specific anthropometric models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566219/
https://www.ncbi.nlm.nih.gov/pubmed/36231634
http://dx.doi.org/10.3390/ijerph191912336
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