The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Defining sarcopenia: the impact of different diagnostic criteria on the prevalence of sarcopenia in a large middle aged cohort
Open accessAbstract
Sarcopenia, low muscle mass, is an increasing problem in our ageing society. The prevalence of sarcopenia varies extremely between elderly cohorts ranging from 7% to over 50%. Without consensus on the definition of sarcopenia, a variety of diagnostic criteria are being used. We assessed the degree of agreement between seven different diagnostic criteria for sarcopenia based on muscle mass and handgrip strength, described in literature. In this cross-sectional study, we included men (n=0325) and women (n=0329) with complete measurements of handgrip strength and body composition values as measured by bioimpedance analysis within the Leiden Longevity Study. Prevalence of sarcopenia was stratified by gender and age. In men (mean age 64.5 years), the prevalence of sarcopenia with the different diagnostic criteria ranged from 0% to 20.8% in the lowest age category (below 60 years), from 0%to 31.2% in the middle (60 to 69 years) and from 0% to 45.2% in the highest age category (above 70 years). In women (mean age 61.8 years), the prevalence of sarcopenia ranged from 0% to 15.6%, 0% to 21.8% and 0% to 25.8% in the lowest, middle and highest age category, respectively. Only one participant (0.2%) was identified having sarcopenia according to all diagnostic criteria that marked prevalence above 0%. We conclude that the prevalence of sarcopenia is highly dependent on the applied diagnostic criteria. It is necessary to reach a consensus on the definition of sarcopenia in order to make studies comparable and for implementation in clinical care.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sarcopenia: European consensus on definition and diagnosis
Cruz-Jentoft, A. J., Baeyens, J. P., Bauer, J. M., Boirie, Y., Cederholm, T., Landi, F., Martin, F. C., Michel, J.-P., Rolland, Y., Schneider, S. M., et al. (2010) · Age and Ageing · doi:10.1093/ageing/afq034 · Cited by 11,601
Epidemiology of Sarcopenia among the Elderly in New Mexico
Baumgartner, R. N., Koehler, K. M., Gallagher, D., Romero, L., Heymsfield, S. B., Ross, R. R., Garry, P. J., & Lindeman, R. D. (1998) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009520 · Cited by 4,004
Fielding, R. A., Vellas, B., Evans, W. J., Bhasin, S., Morley, J. E., Newman, A. B., Abellan van Kan, G., Andrieu, S., Bauer, J., Breuille, D., et al. (2011) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2011.01.003 · Cited by 3,256 · cited 2×
“In the third consensus definition, Fielding et al. based the diagnosis of sarcopenia on lowmuscle mass as defined by Delmonico et al. (definition B) (Delmonico et al. 2007), together with low gait speed defined as less than 1 m/s (Fielding et al. 2011).”
BackgroundJanssen, I., Heymsfield, S. B., & Ross, R. (2002) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2002.50216.x · Cited by 3,139 · cited 9×
“…diagnostic criteria and their effects on estimates of the prevalence of sarcopenia, which appears to vary extremely between different cohorts ranging from 7% to over 50% in the elderly (Abellan van Kan 2009; Baumgartner et al. 1998; Janssen et al. 2002; Lauretani et al. 2003; Newman et al. 2003).”
BackgroundMethodInfluentialGoodpaster, B. H., Park, S. W., Harris, T. B., Kritchevsky, S. B., Nevitt, M., Schwartz, A. V., Simonsick, E. M., Tylavsky, F. A., Visser, M., Newman, A. B., et al. (2006) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/61.10.1059 · Cited by 3,083 · cited 1×
“The rate of decline in muscle strength at older age appears to be higher than the decline in muscle mass in a 3-year longitudinal study, suggesting that factors other than muscle mass are influential (Goodpaster et al. 2006).”
BackgroundExercise training and nutritional supplementation for physical frailty in very elderly people
Fiatarone, M. A., O'Neill, E. F., Ryan, N. D., Clements, K. M., Solares, G. R., Nelson, M. E., Roberts, S. B., Kehayias, J. J., Lipsitz, L. A., & Evans, W. J. (1994) · New England Journal of Medicine · doi:10.1056/nejm199406233302501 · Cited by 2,857
Muscaritoli, M., Anker, S. D., Argilés, J., Aversa, Z., Bauer, J. M., Biolo, G., Boirie, Y., Bosaeus, I., Cederholm, T., Costelli, P., et al. (2010) · Clinical Nutrition · doi:10.1016/j.clnu.2009.12.004 · Cited by 1,732
Shulman, G. I., Rothman, D. L., Jue, T., Stein, P., DeFronzo, R. A., & Shulman, R. G. (1990) · New England Journal of Medicine · doi:10.1056/nejm199001253220403 · Cited by 1,248
Objectively measured physical capability levels and mortality: systematic review and meta-analysis
Cooper, R., Kuh, D., Hardy, R., Mortality Review Group, & teams, O. B. O. T. F. A. H. S. (2010) · BMJ · doi:10.1136/bmj.c4467 · Cited by 1,166 · cited 1×
“Reduced muscle strength has been found to be associated with dependency in activities of daily living (Rantanen et al. 2002; Taekema et al. 2010), cognitive decline (Alfaro-Acha et al. 2006; Burns et al. 2010; Taekema et al. 2011) and mortality (Ling et al. 2010; Cooper et al. 2010).”
BackgroundSarcopenia: alternative definitions and associations with lower extremity function
Newman, A. B., Kupelian, V., Visser, M., Simonsick, E., Goodpaster, B., Nevitt, M., Kritchevsky, S. B., Tylavsky, F. A., Rubin, S. M., Harris, T. B., et al. (2003) · Journal of the American Geriatrics Society · doi:10.1046/j.1532-5415.2003.51534.x · Cited by 981
Cited by
Yeung, S. S. Y., Reijnierse, E. M., Pham, V. K., Trappenburg, M. C., Lim, W. K., Meskers, C. G. M., & Maier, A. B. (2019) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12411 · Cited by 1,115
Self-citationMijnarends, D. M., Meijers, J. M. M., Halfens, R. J. G., ter Borg, S., Luiking, Y. C., Verlaan, S., Schoberer, D., Cruz Jentoft, A. J., van Loon, L. J. C., & Schols, J. M. G. A. (2013) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2012.10.009 · Cited by 475
Mayhew, A. J., Amog, K., Phillips, S., Parise, G., McNicholas, P. D., de Souza, R. J., Thabane, L., & Raina, P. (2019) · Age and Ageing · doi:10.1093/ageing/afy106 · Cited by 478
Sarcopenic obesity: An appraisal of the current status of knowledge and management in elderly people
Molino, S., Dossena, M., Buonocore, D., & Verri, M. (2016) · The Journal of nutrition, health and aging · doi:10.1007/s12603-015-0631-8 · Cited by 91
Pagotto, V., & Silveira, E. A. (2014) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2014.05.009 · Cited by 75
Imboden, M. T., Swartz, A. M., Finch, H. W., Harber, M. P., & Kaminsky, L. A. (2017) · PLOS ONE · doi:10.1371/journal.pone.0176161 · Cited by 75
Scott, D., Park, M. S., Kim, T. N., Ryu, J. Y., Hong, H. C., Yoo, H. J., Baik, S. H., Jones, G., & Choi, K. M. (2016) · The Journal of nutrition, health and aging · doi:10.1007/s12603-015-0559-z · Cited by 70
Martin-Cantero, A., Reijnierse, E. M., Gill, B. M. T., & Maier, A. B. (2021) · Nutrition Reviews · doi:10.1093/nutrit/nuaa064 · Cited by 58
Self-citationRangel Peniche, D. B., Raya Giorguli, G., & Alemán-Mateo, H. (2015) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2015.03.007 · Cited by 50
Kemmler, W., von Stengel, S., Engelke, K., Sieber, C., & Freiberger, E. (2016) · Osteoporosis International · doi:10.1007/s00198-015-3303-y · Cited by 47
Pugh, J. K., Faulkner, S. H., Turner, M. C., & Nimmo, M. A. (2018) · European Journal of Applied Physiology · doi:10.1007/s00421-017-3721-y · Cited by 27
Oranchuk, D. J., Bodkin, S. G., Boncella, K. L., & Harris-Love, M. O. (2024) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2024.05.005 · Cited by 23
Prevalencia de sarcopenia en una unidad de media y larga estancia
Rubio-Maicas, C., Duarte-Alfonso, E., Beseler-Soto, M. R., Moreno-Muñoz, I., Moral-Moral, P., & Merino-Torres, J. F. (2014) · Revista Clínica Española · doi:10.1016/j.rce.2014.02.018 · Cited by 12
Metadata
- Authors
- Bijlsma, A. Y., Meskers, C. G. M., Ling, C. H. Y., Narici, M., Kurrle, S. E., Cameron, I. D., Westendorp, R. G. J., & Maier, A. B.
- Venue
- AGE
- Published
- 2012-02-08
- Volume
- 35
- Issue
- 3
- Pages
- 871-881
- ISSN
- 0161-9152 (ISSN-L)
- 1574-4647
- OpenAlex
- W2086677650
- Cited by
- 269
- References
- 16
- FWCI
- 16.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.