Validation of population-based cutoffs for low muscle mass and strength in a population of Turkish elderly adults.
Bioimpedance analysis
Cutoff values for muscle quantity
Handgrip strength
Sarcopenia
Skeletal muscle mass index
Journal
Aging clinical and experimental research
ISSN: 1720-8319
Titre abrégé: Aging Clin Exp Res
Pays: Germany
ID NLM: 101132995
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
04
10
2019
accepted:
11
12
2019
pubmed:
4
1
2020
medline:
1
12
2020
entrez:
4
1
2020
Statut:
ppublish
Résumé
Despite differences between the studies regarding methods for estimating low muscle mass, the European Working Group on Sarcopenia in Older People (EWGSOP) recommends use of two standard deviations (SDs) below the reference sex-specific means of healthy young adults. The aim of this study was to determine the cutoff points of skeletal muscle mass index (SMI) and handgrip strength (HS) in Turkish population and to compare the power of different cutoff points to predict comprehensive geriatric assessment (CGA) parameters. Two hundred and eight young healthy volunteers (104 women, 104 men) were included in the study to define SMI, HS cutoff values. 1150 older adults (784 women, 366 men) underwent CGA, including physical performance, activities of daily living (ADL), HS and frailty. Body composition was obtained from every participant by bioimpedance analysis (BIA). CGA parameters of sarcopenic patients according to EWGSOP and new Turkish cutoff points were compared. SMI cutoff points were defined 5.70 kg/m Muscle mass and strength may vary between populations because of ethnicity and other related discrepancies. The evaluation of sarcopenia according to the present guidelines may cause overdiagnosis in some populations. Cutoff points specific to populations should be determined.
Sections du résumé
BACKGROUND
BACKGROUND
Despite differences between the studies regarding methods for estimating low muscle mass, the European Working Group on Sarcopenia in Older People (EWGSOP) recommends use of two standard deviations (SDs) below the reference sex-specific means of healthy young adults.
AIMS
OBJECTIVE
The aim of this study was to determine the cutoff points of skeletal muscle mass index (SMI) and handgrip strength (HS) in Turkish population and to compare the power of different cutoff points to predict comprehensive geriatric assessment (CGA) parameters.
METHODS
METHODS
Two hundred and eight young healthy volunteers (104 women, 104 men) were included in the study to define SMI, HS cutoff values. 1150 older adults (784 women, 366 men) underwent CGA, including physical performance, activities of daily living (ADL), HS and frailty. Body composition was obtained from every participant by bioimpedance analysis (BIA). CGA parameters of sarcopenic patients according to EWGSOP and new Turkish cutoff points were compared.
RESULTS
RESULTS
SMI cutoff points were defined 5.70 kg/m
DISCUSSION
CONCLUSIONS
Muscle mass and strength may vary between populations because of ethnicity and other related discrepancies. The evaluation of sarcopenia according to the present guidelines may cause overdiagnosis in some populations.
CONCLUSION
CONCLUSIONS
Cutoff points specific to populations should be determined.
Identifiants
pubmed: 31898170
doi: 10.1007/s40520-019-01448-4
pii: 10.1007/s40520-019-01448-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1749-1755Références
Cesari M, Landi F, Vellas B et al (2014) Sarcopenia and physical frailty: two sides of the same coin. Front Aging Neurosci 6:192. https://doi.org/10.3389/fnagi.2014.00192
doi: 10.3389/fnagi.2014.00192
pubmed: 25120482
pmcid: 4112807
Cruz-Jentoft AJ, Baeyens JP, Bauer JM et al (2010) Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in older people. Age Ageing 39:412–423. https://doi.org/10.1093/ageing/afq034
doi: 10.1093/ageing/afq034
pubmed: 20392703
pmcid: 2886201
Cruz-Jentoft AJ, Bahat G, Bauer J et al (2018) Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing. https://doi.org/10.1093/ageing/afy169
doi: 10.1093/ageing/afy169
pmcid: 6322506
Chen LK, Liu LK, Woo J et al (2014) Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc 15:95–101. https://doi.org/10.1016/j.jamda.2013.11.025
doi: 10.1016/j.jamda.2013.11.025
pubmed: 24461239
Chen LK, Lee WJ, Peng LN et al (2016) Recent advances in Sarcopenia research in Asia: 2016 update from the Asian Working Group for Sarcopenia. J Am Med Dir Assoc 17:767.e761–767.e767. https://doi.org/10.1016/j.jamda.2016.05.016
doi: 10.1016/j.jamda.2016.05.016
Jensen B, Moritoyo T, Kaufer-Horwitz M et al (2018) Ethnic differences in fat and muscle mass and their implication for interpretation of bioelectrical impedance vector analysis. Appl Physiol Nutr Metab. https://doi.org/10.1139/apnm-2018-0276
doi: 10.1139/apnm-2018-0276
pubmed: 30354265
Dhillon RJ, Hasni S (2017) Pathogenesis and management of Sarcopenia. Clin Geriatr Med 33:17–26. https://doi.org/10.1016/j.cger.2016.08.002
doi: 10.1016/j.cger.2016.08.002
pubmed: 27886695
pmcid: 5127276
Marzetti E, Calvani R, Tosato M et al (2017) Sarcopenia: an overview. Aging Clin Exp Res 29:11–17. https://doi.org/10.1007/s40520-016-0704-5
doi: 10.1007/s40520-016-0704-5
pubmed: 28155183
Alencar MA, Dias JM, Figueiredo LC et al (2012) Handgrip strength in elderly with dementia: study of reliability. Revista brasileira de fisioterapia 16:510–514
doi: 10.1590/S1413-35552012005000059
Unutmaz GD, Soysal P, Tuven B et al (2018) Costs of medication in older patients: before and after comprehensive geriatric assessment. Clin Interv Aging 13:607–613. https://doi.org/10.2147/cia.s159966
doi: 10.2147/cia.s159966
pubmed: 29674846
pmcid: 5898882
Durmaz B, Soysal P, Ellidokuz H et al (2017) Validity and reliability of geriatric depression scale-15 (short form) in Turkish older adults. North Clin Istanb. https://doi.org/10.14744/nci.12017.85047
doi: 10.14744/nci.12017.85047
Fried LP, Tangen CM, Walston J et al (2001) Frailty in older adults: evidence for a phenotype. J Gerontol Ser A Biol Sci Med Sci 56:M146–M156
doi: 10.1093/gerona/56.3.M146
Cesari M, Leeuwenburgh C, Lauretani F et al (2006) Frailty syndrome and skeletal muscle: results from the Invecchiare in Chianti study. Am J Clin Nutr 83:1142–1148
doi: 10.1093/ajcn/83.5.1142
Roberts HC, Denison HJ, Martin HJ et al (2011) A review of the measurement of grip strength in clinical and epidemiological studies: towards a standardised approach. Age Ageing 40:423–429. https://doi.org/10.1093/ageing/afr051
doi: 10.1093/ageing/afr051
pubmed: 21624928
Soysal P, Ates Bulut E, Yavuz I et al (2019) Decreased basal metabolic rate can be an objective marker for sarcopenia and frailty in older males. J Am Med Dir Assoc 20:58–63. https://doi.org/10.1016/j.jamda.2018.07.001
doi: 10.1016/j.jamda.2018.07.001
pubmed: 30122323
Janssen I, Heymsfield SB, Baumgartner RN et al (2000) Estimation of skeletal muscle mass by bioelectrical impedance analysis. J Appl Physiol 89:465–471
doi: 10.1152/jappl.2000.89.2.465
Baumgartner RN, Koehler KM, Gallagher D et al (1998) Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 147:755–763
doi: 10.1093/oxfordjournals.aje.a009520
Gallagher D, Visser M, De Meersman RE et al (1997) Appendicular skeletal muscle mass: effects of age, gender, and ethnicity. J Appl Physiol 83:229–239. https://doi.org/10.1152/jappl.1997.83.1.229
doi: 10.1152/jappl.1997.83.1.229
pubmed: 9216968
Chien MY, Huang TY, Wu YT (2008) Prevalence of sarcopenia estimated using a bioelectrical impedance analysis prediction equation in community-dwelling elderly people in Taiwan. J Am Geriatr Soc 56:1710–1715. https://doi.org/10.1111/j.1532-5415.2008.01854.x
doi: 10.1111/j.1532-5415.2008.01854.x
pubmed: 18691288
Tichet J, Vol S, Goxe D et al (2008) Prevalence of sarcopenia in the French senior population. J Nutr Health Aging 12:202–206
doi: 10.1007/BF02982621
Masanes F, Culla A, Navarro-Gonzalez M et al (2012) Prevalence of sarcopenia in healthy community-dwelling elderly in an urban area of Barcelona (Spain). J Nutr Health Aging 16:184–187
doi: 10.1007/s12603-011-0108-3
Villada-Gomez JS, Gonzalez-Correa CH, Marulanda-Mejia F (2018) Provisional cut-off points for the diagnosis of sarcopenia in elderly people from Caldas (Colombia). Biomedica 38:521–526. https://doi.org/10.7705/biomedica.v38i4.4302
doi: 10.7705/biomedica.v38i4.4302
pubmed: 30653866
Peterson SJ, Braunschweig CA (2016) Prevalence of sarcopenia and associated outcomes in the clinical setting. Nutr Clin Pract 31:40–48. https://doi.org/10.1177/0884533615622537
doi: 10.1177/0884533615622537
pubmed: 26703961
Ates Bulut E, Soysal P, Aydin AE et al (2017) Vitamin B12 deficiency might be related to sarcopenia in older adults. Exp Gerontol 95:136–140. https://doi.org/10.1016/j.exger.2017.05.017
doi: 10.1016/j.exger.2017.05.017
pubmed: 28549839
Bahat G, Tufan A, Tufan F et al (2016) Cut-off points to identify sarcopenia according to European Working Group on Sarcopenia in Older People (EWGSOP) definition. Clin Nutr 35:1557–1563. https://doi.org/10.1016/j.clnu.2016.02.002
doi: 10.1016/j.clnu.2016.02.002
pubmed: 26922142
Soysal P, Isik AT (2016) Comment on “Cut-off points to identify sarcopenia according to European Working Group on Sarcopenia in Older People (EWGSOP) definition”. Clin Nutr 35:1586. https://doi.org/10.1016/j.clnu.2016.09.007
doi: 10.1016/j.clnu.2016.09.007
pubmed: 27681380
Fielding RA, Vellas B, Evans WJ et al (2011) Sarcopenia: an undiagnosed condition in older adults. Current consensus definition: prevalence, etiology, and consequences. International working group on sarcopenia. J Am Med Dir Assoc 12:249–256. https://doi.org/10.1016/j.jamda.2011.01.003
doi: 10.1016/j.jamda.2011.01.003
pubmed: 21527165
Makizako H, Shimada H, Doi T et al (2017) Age-dependent changes in physical performance and body composition in community-dwelling Japanese older adults. J Cachexia Sarcopenia Muscle 8:607–614
doi: 10.1002/jcsm.12197
He X, Li Z, Tang X et al (2018) Age- and sex-related differences in body composition in healthy subjects aged 18 to 82 years. Medicine 97:e11152. https://doi.org/10.1097/md.0000000000011152
doi: 10.1097/md.0000000000011152
pubmed: 29924020
pmcid: 6023800
Goodpaster BH, Park SW, Harris TB et al (2006) The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J Gerontol Ser A Biol Sci Med Sci 61:1059–1064
doi: 10.1093/gerona/61.10.1059
Menant JC, Weber F, Lo J et al (2017) Strength measures are better than muscle mass measures in predicting health-related outcomes in older people: time to abandon the term sarcopenia? Osteoporos Int 28:59–70. https://doi.org/10.1007/s00198-016-3691-7
doi: 10.1007/s00198-016-3691-7
pubmed: 27394415
Dent E, Morley JE, Cruz-Jentoft AJ et al (2018) International Clinical Practice Guidelines for Sarcopenia (ICFSR): screening, diagnosis and management. J Nutr Health Aging 22:1148–1161. https://doi.org/10.1007/s12603-018-1139-9
doi: 10.1007/s12603-018-1139-9
pubmed: 30498820
Leong DP, Teo KK, Rangarajan S et al (2016) Reference ranges of handgrip strength from 125,462 healthy adults in 21 countries: a prospective urban rural epidemiologic (PURE) study. J Cachexia Sarcopenia Muscle 7:535–546. https://doi.org/10.1002/jcsm.12112
doi: 10.1002/jcsm.12112
pubmed: 27104109
pmcid: 4833755
Roubenoff R, Baumgartner RN, Harris TB et al (1997) Application of bioelectrical impedance analysis to elderly populations. J Gerontol Ser A Biol Sci Med Sci 52:M129–M136
doi: 10.1093/gerona/52A.3.M129