Assessment of activity profiles in older adults and lower limb bone parameters: Observations from the Hertfordshire Cohort Study
Assessment of activity profiles in older adults and lower limb bone parameters: Observations from the Hertfordshire Cohort Study
As muscle strength and function decline with age the optimal high-impact physical activity (PA) required for bone remodelling is rarely achievable in older adults. This study aimed to explore the activity profiles of community-dwelling older men and women and to assess the relationship between individual PA profiles and lower limb bone parameters. Participants from the Hertfordshire Cohort Study wore triaxial accelerometers for 7 days and counts of low (0.5–1.0 g), medium (1.0–1.5 g), and high (> 1.5 g) vertical-impact activity were calculated. Two years later, participants underwent a pQCT scan of the tibia (4% and 38% sites) to obtain measures of bone mineral density and bone geometry. Linear regression was used to quantify associations between bone and PA loading profiles adjusting for age, sex, loading category, and BMI. Results are presented as β [95% confidence interval]. Bone and PA data were available for 82 participants. The mean (SD) age at follow-up was 81.4(2.7) years, 41.5% (n = 34) were women. The median low-impact PA count was 5281 (Inter-quartile range (IQR) 2516–12,977), compared with a median of only 189 (IQR 54–593) in medium, and 39 (IQR 9–105) in high-impact counts. Positive associations between high-impact PA and cortical area (mm
2), polar SSI (mm
3), and total area (mm
2) at the 38% slice (6.21 [0.88, 11.54]; 61.94 [25.73, 98.14]; 10.09 [3.18, 16.99], respectively). No significant associations were found at distal tibia. These data suggest that maintaining high (> 1.5 g)-impact activity is difficult for older adults to achieve; however, even small amounts of high-impact PA are positively associated with selected cortical bone parameters 2 years later.
Accelerometry, Ageing, Epidemiology, Muscle, Physical activity, pQCT
13-20
Parsons, Camille
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Dennison, Elaine
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Fuggle, Nicholas
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Breasail, Micheal O.
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Deere, Kevin C.
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Hannam, Kimberly
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Tobias, J.H.
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Cooper, Cyrus
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Ward, Kate
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1 July 2022
Parsons, Camille
9730e5c3-0382-4ed7-8eaa-6932ab09ec15
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Fuggle, Nicholas
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Breasail, Micheal O.
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Deere, Kevin C.
b105adce-b002-46af-ac92-d2a4ee416d60
Hannam, Kimberly
8592a37d-8ee6-447d-9a21-4c4c26979462
Tobias, J.H.
de2ae2cb-8547-475a-98e0-9d5169b8deb7
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Ward, Kate
39bd4db1-c948-4e32-930e-7bec8deb54c7
Parsons, Camille, Dennison, Elaine, Fuggle, Nicholas, Breasail, Micheal O., Deere, Kevin C., Hannam, Kimberly, Tobias, J.H., Cooper, Cyrus and Ward, Kate
(2022)
Assessment of activity profiles in older adults and lower limb bone parameters: Observations from the Hertfordshire Cohort Study.
Calcified Tissue International, 111 (1), .
(doi:10.1007/s00223-022-00953-5).
Abstract
As muscle strength and function decline with age the optimal high-impact physical activity (PA) required for bone remodelling is rarely achievable in older adults. This study aimed to explore the activity profiles of community-dwelling older men and women and to assess the relationship between individual PA profiles and lower limb bone parameters. Participants from the Hertfordshire Cohort Study wore triaxial accelerometers for 7 days and counts of low (0.5–1.0 g), medium (1.0–1.5 g), and high (> 1.5 g) vertical-impact activity were calculated. Two years later, participants underwent a pQCT scan of the tibia (4% and 38% sites) to obtain measures of bone mineral density and bone geometry. Linear regression was used to quantify associations between bone and PA loading profiles adjusting for age, sex, loading category, and BMI. Results are presented as β [95% confidence interval]. Bone and PA data were available for 82 participants. The mean (SD) age at follow-up was 81.4(2.7) years, 41.5% (n = 34) were women. The median low-impact PA count was 5281 (Inter-quartile range (IQR) 2516–12,977), compared with a median of only 189 (IQR 54–593) in medium, and 39 (IQR 9–105) in high-impact counts. Positive associations between high-impact PA and cortical area (mm
2), polar SSI (mm
3), and total area (mm
2) at the 38% slice (6.21 [0.88, 11.54]; 61.94 [25.73, 98.14]; 10.09 [3.18, 16.99], respectively). No significant associations were found at distal tibia. These data suggest that maintaining high (> 1.5 g)-impact activity is difficult for older adults to achieve; however, even small amounts of high-impact PA are positively associated with selected cortical bone parameters 2 years later.
Text
CTIN-D-21-00388R2
- Accepted Manuscript
More information
Accepted/In Press date: 28 January 2022
Published date: 1 July 2022
Additional Information:
Funding Information:
The Hertfordshire Cohort Study was supported by the Medical Research Council (MRC) of Great Britain and Versus Arthritis (Grant Number 19583). Imaging of participants was performed at the MRC Human Nutrition Research in Cambridge, and the research was also part-supported by MRC Programme Number U105960371.
Funding Information:
We are extremely grateful to the Hertfordshire Study Cohort participants who took part in each stage of this research; the HCS Research Staff; and Vanessa Cox who manages the data. Also to Versus Arthritis and the Medical Research Council of Great Britain who funded the study. The research was part-supported by MRC Programme Number U105960371.
Funding Information:
We are extremely grateful to the Hertfordshire Study Cohort participants who took part in each stage of this research; the HCS Research Staff; and Vanessa Cox who manages the data. Also to Versus Arthritis and the Medical Research Council of Great Britain who funded the study. The research was part-supported by MRC Programme Number U105960371.
Publisher Copyright:
© 2022, The Author(s).
Keywords:
Accelerometry, Ageing, Epidemiology, Muscle, Physical activity, pQCT
Identifiers
Local EPrints ID: 454790
URI: http://eprints.soton.ac.uk/id/eprint/454790
ISSN: 0171-967X
PURE UUID: a0e902de-bf32-4816-85d7-b8820c20a65b
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Date deposited: 23 Feb 2022 17:40
Last modified: 18 Mar 2024 05:07
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Contributors
Author:
Camille Parsons
Author:
Micheal O. Breasail
Author:
Kevin C. Deere
Author:
Kimberly Hannam
Author:
J.H. Tobias
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