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Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women

Anecdotally, it is suggested that Pacific Island women have good bone mineral density (BMD) compared to other ethnicities; however, little evidence for this or for associated factors exists. This study aimed to explore associations between predictors of bone mineral density (BMD, g/cm(2)), in pre-me...

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Autores principales: Casale, Maria, von Hurst, Pamela R., Beck, Kathryn L., Shultz, Sarah, Kruger, Marlena C., O’Brien, Wendy, Conlon, Cathryn A., Kruger, Rozanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997383/
https://www.ncbi.nlm.nih.gov/pubmed/27483314
http://dx.doi.org/10.3390/nu8080470
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author Casale, Maria
von Hurst, Pamela R.
Beck, Kathryn L.
Shultz, Sarah
Kruger, Marlena C.
O’Brien, Wendy
Conlon, Cathryn A.
Kruger, Rozanne
author_facet Casale, Maria
von Hurst, Pamela R.
Beck, Kathryn L.
Shultz, Sarah
Kruger, Marlena C.
O’Brien, Wendy
Conlon, Cathryn A.
Kruger, Rozanne
author_sort Casale, Maria
collection PubMed
description Anecdotally, it is suggested that Pacific Island women have good bone mineral density (BMD) compared to other ethnicities; however, little evidence for this or for associated factors exists. This study aimed to explore associations between predictors of bone mineral density (BMD, g/cm(2)), in pre-menopausal Pacific Island women. Healthy pre-menopausal Pacific Island women (age 16–45 years) were recruited as part of the larger EXPLORE Study. Total body BMD and body composition were assessed using Dual X-ray Absorptiometry and air-displacement plethysmography (n = 83). A food frequency questionnaire (n = 56) and current bone-specific physical activity questionnaire (n = 59) were completed. Variables expected to be associated with BMD were applied to a hierarchical multiple regression analysis. Due to missing data, physical activity and dietary intake factors were considered only in simple correlations. Mean BMD was 1.1 ± 0.08 g/cm(2). Bone-free, fat-free lean mass (LMO, 52.4 ± 6.9 kg) and age were positively associated with BMD, and percent body fat (38.4 ± 7.6) was inversely associated with BMD, explaining 37.7% of total variance. Lean mass was the strongest predictor of BMD, while many established contributors to bone health (calcium, physical activity, protein, and vitamin C) were not associated with BMD in this population, partly due to difficulty retrieving dietary data. This highlights the importance of physical activity and protein intake during any weight loss interventions to in order to minimise the loss of muscle mass, whilst maximizing loss of adipose tissue.
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spelling pubmed-49973832016-08-26 Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women Casale, Maria von Hurst, Pamela R. Beck, Kathryn L. Shultz, Sarah Kruger, Marlena C. O’Brien, Wendy Conlon, Cathryn A. Kruger, Rozanne Nutrients Article Anecdotally, it is suggested that Pacific Island women have good bone mineral density (BMD) compared to other ethnicities; however, little evidence for this or for associated factors exists. This study aimed to explore associations between predictors of bone mineral density (BMD, g/cm(2)), in pre-menopausal Pacific Island women. Healthy pre-menopausal Pacific Island women (age 16–45 years) were recruited as part of the larger EXPLORE Study. Total body BMD and body composition were assessed using Dual X-ray Absorptiometry and air-displacement plethysmography (n = 83). A food frequency questionnaire (n = 56) and current bone-specific physical activity questionnaire (n = 59) were completed. Variables expected to be associated with BMD were applied to a hierarchical multiple regression analysis. Due to missing data, physical activity and dietary intake factors were considered only in simple correlations. Mean BMD was 1.1 ± 0.08 g/cm(2). Bone-free, fat-free lean mass (LMO, 52.4 ± 6.9 kg) and age were positively associated with BMD, and percent body fat (38.4 ± 7.6) was inversely associated with BMD, explaining 37.7% of total variance. Lean mass was the strongest predictor of BMD, while many established contributors to bone health (calcium, physical activity, protein, and vitamin C) were not associated with BMD in this population, partly due to difficulty retrieving dietary data. This highlights the importance of physical activity and protein intake during any weight loss interventions to in order to minimise the loss of muscle mass, whilst maximizing loss of adipose tissue. MDPI 2016-07-30 /pmc/articles/PMC4997383/ /pubmed/27483314 http://dx.doi.org/10.3390/nu8080470 Text en © 2016 by the authors; 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Casale, Maria
von Hurst, Pamela R.
Beck, Kathryn L.
Shultz, Sarah
Kruger, Marlena C.
O’Brien, Wendy
Conlon, Cathryn A.
Kruger, Rozanne
Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women
title Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women
title_full Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women
title_fullStr Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women
title_full_unstemmed Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women
title_short Lean Mass and Body Fat Percentage Are Contradictory Predictors of Bone Mineral Density in Pre-Menopausal Pacific Island Women
title_sort lean mass and body fat percentage are contradictory predictors of bone mineral density in pre-menopausal pacific island women
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997383/
https://www.ncbi.nlm.nih.gov/pubmed/27483314
http://dx.doi.org/10.3390/nu8080470
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