Prevalence of sarcopenia and relationships between muscle and bone in Indian men and women
Prevalence of sarcopenia and relationships between muscle and bone in Indian men and women
Both ethnicity and age are important determinants of musculoskeletal health. We aimed to determine the prevalence of sarcopenia, assess the suitability of current diagnostic guidelines, and explore muscle-bone relationships in adults from India. A total of 1009 young (20–35 years) and 1755 older (> 40 years) men and women from existing studies were collated and pooled for the analysis. Dual-energy x-ray absorptiometry measured areal bone mineral density (aBMD) at the hip and spine, and fat and lean mass; hand dynamometer measured hand grip strength (HGS). Indian-specific cut-points for appendicular lean mass (ALM), ALM index (ALMI) and HGS were calculated from young Indian (-2SD mean) populations. Sarcopenia was defined using cut-points from The Foundations for the National Institutes of Health (FNIH), revised European Working Group on Sarcopenia in Older People (EWGSOP2), Asian Working Group for Sarcopenia (AWGS), and Indian-specific cut-points. Low lean mass cut-points were then compared for their predictive ability in identifying low HGS. The relationship between muscle variables (ALM, ALMI, HGS) and aBMD was explored, and sex differences were tested. Indian-specific cut-points (men-HGS:22.93 kg, ALM:15.41 kg, ALMI:6.03 kg/m
2; women-HGS:10.76 kg, ALM:9.95 kg, ALMI:4.64 kg/m
2) were lower than existing definitions. The Indian-specific definition had the lowest, while EWGSOP2 ALMI had the highest predictive ability in detecting low HGS (men:AUC = 0.686, women:AUC = 0.641). There were sex differences in associations between aBMD and all muscle variables, with greater positive associations in women than in men. The use of appropriate cut-points for diagnosing low lean mass and physical function is necessary in ethnic populations for accurate sarcopenia assessment. Muscle-bone relationships are more tightly coupled during ageing in Indian women than men.
Bone mineral density, Ethnicity, Hand grip strength, India, Muscle strength, Sarcopenia
423-433
Zengin, Ayse
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Kulkarni, Bharati
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Khadilkar, Anuradha V
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Kajale, Neha
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Ekbote, Veena
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Tandon, Nikhil
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Bhargava, Santosh K.
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Sachdev, Harshpal Singh
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Sinha, Shikha
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Scott, David
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Kinra, Sanjay
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Fall, Caroline
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Ebeling, Peter R.
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October 2021
Zengin, Ayse
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Kulkarni, Bharati
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Khadilkar, Anuradha V
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Kajale, Neha
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Ekbote, Veena
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Tandon, Nikhil
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Bhargava, Santosh K.
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Sachdev, Harshpal Singh
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Sinha, Shikha
d36d4722-520c-4d87-85c8-2a811c177847
Scott, David
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Kinra, Sanjay
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Fall, Caroline
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Ebeling, Peter R.
71a1d109-c0fe-438d-9d01-660012eb7049
Zengin, Ayse, Kulkarni, Bharati, Khadilkar, Anuradha V, Kajale, Neha, Ekbote, Veena, Tandon, Nikhil, Bhargava, Santosh K., Sachdev, Harshpal Singh, Sinha, Shikha, Scott, David, Kinra, Sanjay, Fall, Caroline and Ebeling, Peter R.
(2021)
Prevalence of sarcopenia and relationships between muscle and bone in Indian men and women.
Calcified Tissue International, 109 (4), .
(doi:10.1007/s00223-021-00860-1).
Abstract
Both ethnicity and age are important determinants of musculoskeletal health. We aimed to determine the prevalence of sarcopenia, assess the suitability of current diagnostic guidelines, and explore muscle-bone relationships in adults from India. A total of 1009 young (20–35 years) and 1755 older (> 40 years) men and women from existing studies were collated and pooled for the analysis. Dual-energy x-ray absorptiometry measured areal bone mineral density (aBMD) at the hip and spine, and fat and lean mass; hand dynamometer measured hand grip strength (HGS). Indian-specific cut-points for appendicular lean mass (ALM), ALM index (ALMI) and HGS were calculated from young Indian (-2SD mean) populations. Sarcopenia was defined using cut-points from The Foundations for the National Institutes of Health (FNIH), revised European Working Group on Sarcopenia in Older People (EWGSOP2), Asian Working Group for Sarcopenia (AWGS), and Indian-specific cut-points. Low lean mass cut-points were then compared for their predictive ability in identifying low HGS. The relationship between muscle variables (ALM, ALMI, HGS) and aBMD was explored, and sex differences were tested. Indian-specific cut-points (men-HGS:22.93 kg, ALM:15.41 kg, ALMI:6.03 kg/m
2; women-HGS:10.76 kg, ALM:9.95 kg, ALMI:4.64 kg/m
2) were lower than existing definitions. The Indian-specific definition had the lowest, while EWGSOP2 ALMI had the highest predictive ability in detecting low HGS (men:AUC = 0.686, women:AUC = 0.641). There were sex differences in associations between aBMD and all muscle variables, with greater positive associations in women than in men. The use of appropriate cut-points for diagnosing low lean mass and physical function is necessary in ethnic populations for accurate sarcopenia assessment. Muscle-bone relationships are more tightly coupled during ageing in Indian women than men.
Text
India sarcopenia_CTI_FINAL_revisions_with_tables_figures
- Accepted Manuscript
More information
Accepted/In Press date: 19 April 2021
Published date: October 2021
Additional Information:
Funding Information:
This work was supported by the Australian Academy of Sciences, Australia-India Early and Mid-Career Fellowships (AZ). The third survey wave of APCAPS was funded by Wellcome Trust Strategic Award (084774). IMS was funded by the Wellcome Trust project Grant (GR070797MF). NDBC was funded by the Indian Council of Medical Research, British Heart Foundation, the Wellcome Trust UK, the Medical Research Council UK, the National Institute for Health Research Nutrition and Metabolism Biomedical Research Unit, University of Southampton and the National Institute for Health Research Musculoskeletal Biomedical Research Unit, University of Oxford.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Keywords:
Bone mineral density, Ethnicity, Hand grip strength, India, Muscle strength, Sarcopenia
Identifiers
Local EPrints ID: 448834
URI: http://eprints.soton.ac.uk/id/eprint/448834
ISSN: 0171-967X
PURE UUID: 2369242d-e2a4-409e-9a3e-f5eeb42b2fc8
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Date deposited: 06 May 2021 16:32
Last modified: 17 Mar 2024 06:31
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Contributors
Author:
Ayse Zengin
Author:
Bharati Kulkarni
Author:
Anuradha V Khadilkar
Author:
Neha Kajale
Author:
Veena Ekbote
Author:
Nikhil Tandon
Author:
Santosh K. Bhargava
Author:
Harshpal Singh Sachdev
Author:
Shikha Sinha
Author:
David Scott
Author:
Sanjay Kinra
Author:
Peter R. Ebeling
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