Skip to main content
Log in

Establishing an Operational Definition of Sarcopenia in Australia and New Zealand: Delphi Method Based Consensus Statement

  • Published:
The journal of nutrition, health & aging

Abstract

Background

Globally there are several operational definitions for sarcopenia, complicating clinical and research applications.

Objective

The objective of the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR) Task Force on Diagnostic Criteria for Sarcopenia was to reach consensus on the operational definition of sarcopenia for regional use by clinicians and researchers.

Method

A four-Phase modified Delphi process was undertaken in which 24 individuals with expertise or a recognised interest in sarcopenia from different fields across Australia and New Zealand were invited to be Task Force members. An initial face-to-face meeting was held in Adelaide, South Australia, in November 2017, followed by two subsequent online Phases conducted by electronic surveys. A final Phase was used to approve the final statements. Responses were analysed using a pre-specified strategy. The level of agreement required for consensus was 80%.

Results

In Phase 2, 94.1% of Task Force respondents voted in favour of adopting an existing operational definition of sarcopenia. In Phase 3, 94.4% of respondents voted in favour of adopting the European Working Group on Sarcopenia in Older People (EWGSOP) definition as the operational definition for sarcopenia in Australia and New Zealand.

Conclusion

With consensus achieved, the ANZSSFR will adopt, promote and validate the EWGSOP operational definition of sarcopenia for use by clinicians and researchers in Australia and New Zealand.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1

Similar content being viewed by others

References

  1. Cruz-Jentoft AJ, Baeyens JP, Bauer JP, et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European working group on sarcopenia in older people. Age Ageing. 2010;39(4)412–23. DOI 10.1093/ageing/afq034

    Article  PubMed  PubMed Central  Google Scholar 

  2. Beaudar C, Zaaria M, Pasleau F, et al. Health outcomes of sarcopenia: A systematic review and meta-analysis. PloS One. 2017;12(1)e0169548. 10.1371/journal.pone.0169548

    Article  CAS  Google Scholar 

  3. Zhang Y, Hao Q, Ge M, Dong B. Association of sarcopenia and fractures in community-dwelling older adults: A systematic review and meta-analysis of cohort studies. Osteoporos Int. 2018 DOI 10.1007/s00198-018-4429-5 [ePub ahead of print].

    Google Scholar 

  4. Zhang H, Lin S, Gao T, et al. Association between sarcopenia and metabolic syndrome in middle-aged and older non-obese adults: A systematic review and meta-analysis. Nutrients. 2018;10:3. DOI 10.3390/nu10030364

    Google Scholar 

  5. Zhao Y, Zhang Y, Hao Q, et al. Sarcopenia and hospital-related outcomes in the old people: A systematic review and meta-analysis. Aging Clin Exp Res. 2018. DOI 10.1007/s40520-018-0931-z [ePub ahead of print].

    Google Scholar 

  6. Shachar SS, Williams GR, Muss HB, Nishijima TF. Prognostic value of sarcopenia in adults with solid tumours: A meta-analysis and systematic review. Eur J Cancer. 2016;57:58–67. DOI 10.1016/j.ejca.2015.12.030.

    Article  PubMed  Google Scholar 

  7. Kim G, Kang SH, Kim MY, Baik SK. Prognostic value of sarcopenia in patients with liver cirrhosis: A systematic review and meta-analysis. PloS One. 2017;12:10(e0186990). DOI 10.1371/journal.pone.0186990

    Google Scholar 

  8. Jones K, Gordon-Weeks A, Coleman C, Silva M. Radiologically determined sarcopenia predicts morbidity and mortality following abdominal surgery: A systematic review and meta-analysis. World J Surg. 2017;41(9):2266–2279. DOI 10.1007/s00268-017-3999-2.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Anker SD, Morley JE, von Haehling S. Welcome to the ICD-10 code for sarcopenia. J Cachexia Sarcopenia Muscle. 2016;7(5):512–514. DOI 10.1002/jcsm.12147

    Article  PubMed  PubMed Central  Google Scholar 

  10. Shafiee G, Keshtkar A, Soltani A, et al. Prevalence of sarcopenia in the world: a systematic review and meta-analysis of general population studies. J Diabetes Metab Disord. 2017;16:21.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Cruz-Jentoft AJ, Landi F, Schneider SM, et al. Prevalence of and interventions for sarcopenia in ageing adults: A systematic review. Report of the international sarcopenia initiative (EWGSOP and IWGS). Age Ageing. 2014;43(6):748–59. DOI 10.1093/ageing/afu115

    PubMed  PubMed Central  Google Scholar 

  12. Reijnierse EM, Trappenburg MC, Leter MJ, et al. The impact of different diagnostic criteria on the prevalence of sarcopenia in healthy elderly participants and geriatric outpatients. Gerontol. 2015;61(6):491–6. DOI 10.1159/000377699

    Article  Google Scholar 

  13. Baumgartner RN, Koehler KM, Gallagher D, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 1998;147(8):755–63.

    Article  CAS  PubMed  Google Scholar 

  14. Fielding RA, Vellas B, Evans WJ, et al. Sarcopenia: An undiagnosed condition in older adults. Current consensus definition: Prevalence, etiology, and consequences. International working group on sarcopenia. J Am Med Dir Assoc. 2011;12(4):249–56. DOI 10.1016/j.jamda.2011.01.003

    Article  PubMed  Google Scholar 

  15. Morley JE, Abbatecola AM, Argiles JM, et al. Sarcopenia with limited mobility: An international consensus. J Am Med Dir Assoc. 2011;12(6):403–9. DOI 10.1016/j.jamda.2011.04.014

    Article  PubMed  PubMed Central  Google Scholar 

  16. Studenski SA, Peters KW, Alley DE, et al. The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci. 2014;69(5):547–58. DOI 10.1093/gerona/glu010

    Article  PubMed  PubMed Central  Google Scholar 

  17. Chen LK, Liu LK, Woo J, et al. Sarcopenia in Asia: consensus report of the Asian Working Group for Sarcopenia. J Am Med Dir Assoc. 2014;15(2):95–101.

    Article  PubMed  Google Scholar 

  18. Rosenberg IH, Summary comments. Am J Clin Nutr. 1989;50(5):1231–1233.

    Article  Google Scholar 

  19. Reijnierse EM, de van der Schueren MAE, Trappenburg MC, et al. Lack of knowledge and availability of diagnostic equipment could hinder the diagnosis of sarcopenia and its management. PloS One. 2017:12(10) e0185837. DOI 10.1371/journal. pone.0185837

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Bijlsma AY, Meskers CG, Westendorp RG, Maier AB. Chronology of age-related disease definitions: Osteoporosis and sarcopenia. Ageing Res Rev. 2012;11(2):320–4. DOI 10.1016/j.arr.2012.01.001

    Article  CAS  PubMed  Google Scholar 

  21. Linstone HA, Turoff M. The delphi method: Techniques and applications. Wesley Publishing Company, 2002.

    Google Scholar 

  22. Temkin-Greener H, Ladwig S, Caprio T, et al. Developing palliative care practice guidelines and standards for nursing home-based palliative care teams: a Delphi study. J Am Med Dir Assoc. 2015;16(1):86.e1–7.

    Article  Google Scholar 

  23. Boulkedid R, Abdoul H, Loustau M, et al. Using and reporting the delphi method for selecting healthcare quality indicators: A systematic review. PloS One. 2011;6(6)e20476. DOI 10.1371/journal.pone.0020476

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Ulschak F. Human resource development: The theory and practice of need assessment. Reston, VA: Reston Publishing Company, Inc. 1983

    Google Scholar 

  25. Hsu C, Sandford B. The delphi technique: Making sense of consensus. Prac Assess Res Eval. 2007;12:1–8.

    Google Scholar 

  26. Rodriguez-Manas L, Feart C, Mann G, et al. Searching for an operational definition of frailty: a Delphi method based consensus statement: the frailty operative definitionconsensus conference project. J Gerontol A Biol Sci Med Sci. 2013;68(1):62–7.

    Article  PubMed  Google Scholar 

  27. Malmstrom TK, Miller DK, Simonsick EM, et al. SARC-F: A symptom score to predict persons with sarcopenia at risk for poor functional outcomes. J Cachexia Sarcopenia Muscle. 2017;7(1):28–36. DOI 10.1002/jcsm.12048

    Article  Google Scholar 

  28. Ida S, Kaneko R, Murata K. SARC-F for Screening of Sarcopenia Among Older Adults: A Meta-analysis of Screening Test Accuracy. J Am Med Dir Assoc. 2018 (Forthcoming) https://doi.org/10.1016/j.jamda.2018.04.001

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Consortia

Corresponding author

Correspondence to Gustavo Duque.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zanker, J., Scott, D., Reijnierse, E.M. et al. Establishing an Operational Definition of Sarcopenia in Australia and New Zealand: Delphi Method Based Consensus Statement. J Nutr Health Aging 23, 105–110 (2019). https://doi.org/10.1007/s12603-018-1113-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12603-018-1113-6

Key words

Navigation