Lean mass and fat mass have differing associations with bone microarchitecture assessed by high resolution peripheral quantitative computed tomography in men and women from the Hertfordshire Cohort Study
Lean mass and fat mass have differing associations with bone microarchitecture assessed by high resolution peripheral quantitative computed tomography in men and women from the Hertfordshire Cohort Study
Understanding the effects of muscle and fat on bone is increasingly important in the optimisation of bone health. We explored relationships between bone microarchitecture and body composition in older men and women from the Hertfordshire Cohort Study. 175 men and 167 women aged 72–81 years were studied. High resolution peripheral quantitative computed tomography (HRpQCT) images (voxel size 82 ?m) were acquired from the non-dominant distal radius and tibia with a Scanco XtremeCT scanner. Standard morphological analysis was performed for assessment of macrostructure, densitometry, cortical porosity and trabecular microarchitecture. Body composition was assessed using dual energy X-ray absorptiometry (DXA) (Lunar Prodigy Advanced). Lean mass index (LMI) was calculated as lean mass divided by height squared and fat mass index (FMI) as fat mass divided by height squared. The mean (standard deviation) age in men and women was 76 (3) years. In univariate analyses, tibial cortical area (p < 0.01), cortical thickness (p < 0.05) and trabecular number (p < 0.01) were positively associated with LMI and FMI in both men and women. After mutual adjustment, relationships between cortical area and thickness were only maintained with LMI [tibial cortical area, ? (95% confidence interval (CI)): men 6.99 (3.97,10.01), women 3.59 (1.81,5.38)] whereas trabecular number and density were associated with FMI. Interactions by sex were found, including for the relationships of LMI with cortical area and FMI with trabecular area in both the radius and tibia (p < 0.05). In conclusion, LMI and FMI appeared to show independent relationships with bone microarchitecture. Further studies are required to confirm the direction of causality and explore the mechanisms underlying these tissue-specific associations.
muscle, bone microarchitecture, fat, HRpQCT, mechanostat, epidemiology
145-151
Edwards, Mark H.
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Ward, Kate
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Ntani, Georgia
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Parsons, Camille
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Thompson, Jennifer
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Sayer, Avan A.
e7310a13-d151-4438-9da0-8777876d6df0
Dennison, Elaine M.
ee647287-edb4-4392-8361-e59fd505b1d1
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
December 2015
Edwards, Mark H.
b81ff294-1d16-4a1b-af14-9374c5989d4c
Ward, Kate
39bd4db1-c948-4e32-930e-7bec8deb54c7
Ntani, Georgia
9b009e0a-5ab2-4c6e-a9fd-15a601e92be5
Parsons, Camille
9730e5c3-0382-4ed7-8eaa-6932ab09ec15
Thompson, Jennifer
8a56233d-c945-4022-a164-34fdd8e8ad4a
Sayer, Avan A.
e7310a13-d151-4438-9da0-8777876d6df0
Dennison, Elaine M.
ee647287-edb4-4392-8361-e59fd505b1d1
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Edwards, Mark H., Ward, Kate, Ntani, Georgia, Parsons, Camille, Thompson, Jennifer, Sayer, Avan A., Dennison, Elaine M. and Cooper, Cyrus
(2015)
Lean mass and fat mass have differing associations with bone microarchitecture assessed by high resolution peripheral quantitative computed tomography in men and women from the Hertfordshire Cohort Study.
Bone, 81, .
(doi:10.1016/j.bone.2015.07.013).
(PMID:26187195)
Abstract
Understanding the effects of muscle and fat on bone is increasingly important in the optimisation of bone health. We explored relationships between bone microarchitecture and body composition in older men and women from the Hertfordshire Cohort Study. 175 men and 167 women aged 72–81 years were studied. High resolution peripheral quantitative computed tomography (HRpQCT) images (voxel size 82 ?m) were acquired from the non-dominant distal radius and tibia with a Scanco XtremeCT scanner. Standard morphological analysis was performed for assessment of macrostructure, densitometry, cortical porosity and trabecular microarchitecture. Body composition was assessed using dual energy X-ray absorptiometry (DXA) (Lunar Prodigy Advanced). Lean mass index (LMI) was calculated as lean mass divided by height squared and fat mass index (FMI) as fat mass divided by height squared. The mean (standard deviation) age in men and women was 76 (3) years. In univariate analyses, tibial cortical area (p < 0.01), cortical thickness (p < 0.05) and trabecular number (p < 0.01) were positively associated with LMI and FMI in both men and women. After mutual adjustment, relationships between cortical area and thickness were only maintained with LMI [tibial cortical area, ? (95% confidence interval (CI)): men 6.99 (3.97,10.01), women 3.59 (1.81,5.38)] whereas trabecular number and density were associated with FMI. Interactions by sex were found, including for the relationships of LMI with cortical area and FMI with trabecular area in both the radius and tibia (p < 0.05). In conclusion, LMI and FMI appeared to show independent relationships with bone microarchitecture. Further studies are required to confirm the direction of causality and explore the mechanisms underlying these tissue-specific associations.
Text
__userfiles.soton.ac.uk_Library_SLAs_Work_for_ALL's_Work_for_ePrints_Accepted Manuscripts_Edwards_Lean.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 13 July 2015
e-pub ahead of print date: 15 July 2015
Published date: December 2015
Keywords:
muscle, bone microarchitecture, fat, HRpQCT, mechanostat, epidemiology
Organisations:
NIHR Southampton Biomedical Research Centre, MRC Life-Course Epidemiology Unit
Identifiers
Local EPrints ID: 381942
URI: http://eprints.soton.ac.uk/id/eprint/381942
ISSN: 8756-3282
PURE UUID: 9fd9fc89-3897-44cc-944c-da74a40246ab
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Date deposited: 29 Sep 2015 09:25
Last modified: 09 Jan 2022 03:51
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Contributors
Author:
Mark H. Edwards
Author:
Camille Parsons
Author:
Jennifer Thompson
Author:
Avan A. Sayer
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