Literature DB >> 30570670

Normative Data for Lean Mass Using FNIH Criteria in an Australian Setting.

Julie A Pasco1,2,3,4,5, Kara L Holloway-Kew6, Monica C Tembo6, Sophia X Sui6, Kara B Anderson6, Pamela Rufus-Membere6, Natalie K Hyde6, Lana J Williams6, Mark A Kotowicz6,7,8.   

Abstract

Recommendations from the FNIH Sarcopenia Project are that appendicular lean mass (ALM, kg) adjusted for body mass index (BMI, kg/m2) be used for identifying low lean mass, with ALM/BMI cutpoints of < 0.789 m2 for men and < 0.512 m2 for women. We report normative ALM/BMI values for Australian adults, and compare the performance of cutpoints derived from reference values for this population with FNIH values for identifying low lean mass. Body composition was measured by DXA (Lunar) for 1411 men and 960 women, aged 20-93 years, from the Geelong Osteoporosis Study, a population-based study in Australia. Sex-stratified means and standard deviations for DXA-derived ALM/BMI were generated for each age-decade, and cutpoints equivalent to T-scores of - 2.0 were derived using reference data for 374 men and 308 women aged 20-39 years. Mean ALM/BMI values were greater for men than women, and decreased with age in both sexes. Cutpoints for ALM/BMI corresponding to T-scores of - 2.0 were 0.827 m2 for men and 0.518 m2 for women. For individuals aged 65+ years, cross-classification of low lean mass according to FNIH criteria (ALM/BMI < 0.789 m2 men and < 0.512 m2 women) in comparison with our cutpoints for ALM/BMI showed overall agreement of 94.6% for men and 99.0% for women (κ 0.73 and 0.89, respectively). We report good agreement for low ALM indexed to BMI, particularly for women, between classifications based on recommendations from the FNIH Sarcopenia Project for identifying clinically significant weakness, with low values identified within our population distribution of ALM/BMI.

Entities:  

Keywords:  Appendicular lean mass; Body composition; Muscle mass; Reference data; Sarcopenia

Year:  2018        PMID: 30570670     DOI: 10.1007/s00223-018-0506-1

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  4 in total

1.  Estimation of Whole-Body and Appendicular Lean Mass from Spine and Hip Dual Energy X-ray Absorptiometry: A Cross-Sectional Study.

Authors:  Matthew Thackeray; Neil R Orford; Mark A Kotowicz; Mohammadreza Mohebbi; Julie A Pasco
Journal:  Calcif Tissue Int       Date:  2021-10-13       Impact factor: 4.333

2.  How Well Do Low Population-Specific Values for Muscle Parameters Associate with Indices of Poor Physical Health? Cross-Sectional Data from the Geelong Osteoporosis Study.

Authors:  Sophia X Sui; Kara L Holloway-Kew; Natalie K Hyde; Lana J Williams; Monica C Tembo; Emma West; Julie A Pasco
Journal:  J Clin Med       Date:  2022-05-20       Impact factor: 4.964

3.  Lower-limb muscle strength: normative data from an observational population-based study.

Authors:  Julie A Pasco; Amanda L Stuart; Kara L Holloway-Kew; Monica C Tembo; Sophia X Sui; Kara B Anderson; Natalie K Hyde; Lana J Williams; Mark A Kotowicz
Journal:  BMC Musculoskelet Disord       Date:  2020-02-08       Impact factor: 2.362

4.  Prevalence of Sarcopenia Employing Population-Specific Cut-Points: Cross-Sectional Data from the Geelong Osteoporosis Study, Australia.

Authors:  Sophia X Sui; Kara L Holloway-Kew; Natalie K Hyde; Lana J Williams; Monica C Tembo; Sarah Leach; Julie A Pasco
Journal:  J Clin Med       Date:  2021-01-18       Impact factor: 4.241

  4 in total

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