Literature DB >> 23582341

Prevalence of sarcopenia based on different diagnostic criteria using DEXA and appendicular skeletal muscle mass reference values in an Italian population aged 20 to 80.

Alessandra Coin1, Silvia Sarti, Elena Ruggiero, Sandro Giannini, Mario Pedrazzoni, Salvatore Minisola, Maurizio Rossini, Antonio Del Puente, Emine Meral Inelmen, Enzo Manzato, Giuseppe Sergi.   

Abstract

OBJECTIVE: To identify the mean values and percentiles for ASMM (appendicular skeletal muscle mass) and the prevalence of sarcopenia, in terms of muscle mass reduction, using different cutoffs in a European population.
DESIGN: A retrospective analysis on the dataset from a multicenter study on apparently healthy Italian adults conducted between 1999 and 2002. A significant muscle mass loss, necessary to diagnose sarcopenia, was defined in 3 different ways: (1) by subtracting 2 SDs from the mean ASMM index (ASMMI) of a young adult population (20-39 year-olds), as in the Rosetta study and the NHANES survey; (2) by calculating the 15th percentile of the distribution of our young population, corresponding to about 1 SD below the mean ASMMI; (3) by calculating the 20th percentile of the distribution of the ASMMI (as in the Health ABC study) of an elderly population.
SETTING: Five centers for the diagnosis and treatment of osteoporosis in various parts of the country (Padova, Verona, Parma, Roma, Napoli). PARTICIPANTS: Participants were 1535 volunteers (1208 women and 327 men) aged 20 to 80 years, drawn from among staff members, university students, lay people contacted by word of mouth, and patients presenting spontaneously for osteoporosis screening. MEASUREMENTS: Body weight and height were measured for all participants. Body composition was assessed by DEXA, and the ASMMI was calculated as the ASMM divided by body height in meters squared.
RESULTS: Both men's and women's lean mass in the arms and ASMM were highest in the young group and became lower in older age. In men, the ASMMI dropped gradually from age 20 to 29 to age 60 to 69, then remained stable in the oldest group. In women, the ASMMI gradually increased from age 20 to 29 to age 60 to 69, then dropped among the 70- to 80-year-olds. Based on the 15th percentile of the ASMMI for our young adult reference population, the cutoffs for sarcopenia were 7.59 kg/m(2) in men and 5.47 kg/m(2) in women; if the 20th percentile of the ASMMI in our elderly subjects (>65 years) was considered, the cutoffs were 7.64 kg/m(2) in men and 5.78 kg/m(2) in women. Applying the different diagnostic criteria to the those older than 65, the prevalence of sarcopenia ranged from 0% to about 20% in both genders.
CONCLUSION: The 15th percentile (or 1 SD below the mean) of the ASMMI of our young adults, and the 20th percentile of this index for an elderly reference population proved more effective in identifying cases of sarcopenia than subtracting 2 SD from the mean ASMMI of a young adult population.
Copyright © 2013 American Medical Directors Association, Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23582341     DOI: 10.1016/j.jamda.2013.02.010

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  31 in total

1.  Sarcopenic Obesity and Metabolic Syndrome in Adult Caucasian Subjects.

Authors:  E Poggiogalle; C Lubrano; G Sergi; A Coin; L Gnessi; S Mariani; A Lenzi; L M Donini
Journal:  J Nutr Health Aging       Date:  2016       Impact factor: 4.075

2.  Bioelectrical Impedance Analysis for the Assessment of Sarcopenia in Patients with Cancer: A Systematic Review.

Authors:  Gabriel F P Aleixo; Shlomit S Shachar; Kirsten A Nyrop; Hyman B Muss; Claudio L Battaglini; Grant R Williams
Journal:  Oncologist       Date:  2019-11-12

3.  Are men at greater risk of lean mass deficits in rheumatoid arthritis?

Authors:  Joshua F Baker; Jin Long; Said Ibrahim; Mary B Leonard; Patricia Katz
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-01       Impact factor: 4.794

4.  Comparisons of sarcopenia prevalence based on different diagnostic criteria in Chinese older adults.

Authors:  X Wen; P An; W C Chen; Y Lv; Q Fu
Journal:  J Nutr Health Aging       Date:  2015-03       Impact factor: 4.075

Review 5.  Diagnostic imaging of osteoporosis and sarcopenia: a narrative review.

Authors:  Carmelo Messina; Gabriele Maffi; Jacopo Antonino Vitale; Fabio Massimo Ulivieri; Giuseppe Guglielmi; Luca Maria Sconfienza
Journal:  Quant Imaging Med Surg       Date:  2018-02

6.  Effect of weight loss on mortality in overweight and obese nursing home residents during a 5-year follow-up.

Authors:  S Pizzato; G Sergi; F Bolzetta; M De Rui; I De Ronch; S Carraro; L Berton; E Orr; A Imoscopi; E Perissinotto; A Coin; E Manzato; N Veronese
Journal:  Eur J Clin Nutr       Date:  2015-03-11       Impact factor: 4.016

7.  Which Index for Muscle Mass Represents an Aging Process?

Authors:  Hyung-Kook Kim; You Jin Lee; Young-Kyun Lee; Hongji Kim; Kyung-Hoi Koo
Journal:  J Bone Metab       Date:  2018-11-30

8.  Reference Values and Age Differences in Body Composition of Community-Dwelling Older Japanese Men and Women: A Pooled Analysis of Four Cohort Studies.

Authors:  Satoshi Seino; Shoji Shinkai; Katsuya Iijima; Shuichi Obuchi; Yoshinori Fujiwara; Hideyo Yoshida; Hisashi Kawai; Mariko Nishi; Hiroshi Murayama; Yu Taniguchi; Hidenori Amano; Ryutaro Takahashi
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

9.  Muscle Strength and Physical Performance Are Associated with Reaction Time Performance in Older People.

Authors:  José Daniel Jiménez-García; Antonio Martínez-Amat; Fidel Hita-Contreras; Raquel Fábrega-Cuadros; Francisco Álvarez-Salvago; Agustín Aibar-Almazán
Journal:  Int J Environ Res Public Health       Date:  2021-05-31       Impact factor: 3.390

Review 10.  Bioelectrical Impedance Analysis for the Assessment of Sarcopenia in Patients with Cancer: A Systematic Review.

Authors:  Gabriel F P Aleixo; Shlomit S Shachar; Kirsten A Nyrop; Hyman B Muss; Claudio L Battaglini; Grant R Williams
Journal:  Oncologist       Date:  2019-11-12       Impact factor: 5.837

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