Assessment of Diagnostics Tools for Sarcopenia Severity Using the Item Response Theory (IRT)
Language English Media print
Document type Journal Article
PubMed
27925146
DOI
10.1007/s12603-016-0713-2
PII: S1279-7707(23)00471-2
Knihovny.cz E-resources
- MeSH
- Algorithms MeSH
- Humans MeSH
- Prevalence MeSH
- Cross-Sectional Studies MeSH
- Sarcopenia diagnosis MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Hand Strength MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
OBJECTIVE: To use the item response theory (IRT) methods to examine the degree to which the four selected tools reflect sarcopenia and to arrange them according to their ability to estimate sarcopenia severity. DESIGN: A cross-sectional study aimed at verifying the possibilities of using diagnostic tools for sarcopenia. SETTING AND PARTICIPANTS: The study included residents living in an assisted living unit at the Senior Centre in Blansko (South Moravia, Czech Republic) (n=77). Sarcopenia was estimated according to the proposals of the European Working Group on Sarcopenia in Older People (EWGSOP) using calf circumference, the EWGSOP algorithm, hand grip strength, and the Short Physical Performance Battery (SPPB). RESULTS: The results from the IRT model showed that these four methods indicate strong unidimensionality so that they measure the same latent variable. The methods ranked according to the discrimination level ranging from high to low discrimination where the calf circumference was the most discriminatory (Hi = 0.86) and the SPPB together with hand grip strength were the least discriminatory (both Hi = 0.44). CONCLUSION: We are recommending to identify mild sarcopenia by SPPB or hand grip strength, moderate sarcopenia by the EWGSOP algorithm and severe sarcopenia by the calf circumference.
See more in PubMed
J Pers Assess. 2005 Jun;84(3):228-38 PubMed
J Nutr Health Aging. 2015 Mar;19(3):342-7 PubMed
J Gerontol A Biol Sci Med Sci. 2014 May;69(5):576-83 PubMed
J Frailty Aging. 2015;4(3):114-120 PubMed
Am J Epidemiol. 2004 Feb 15;159(4):413-21 PubMed
Age Ageing. 2014 Jul;43(4):491-5 PubMed
Age Ageing. 2010 Jul;39(4):412-23 PubMed
Br J Math Stat Psychol. 1996 May;49 ( Pt 1):79-105 PubMed
J Nutr Health Aging. 2015 Apr;19(4):474-80 PubMed
J Am Geriatr Soc. 2003 Aug;51(8):1120-4 PubMed
J Am Med Dir Assoc. 2012 Feb;13(2):121-6 PubMed
J Gerontol. 1994 Mar;49(2):M85-94 PubMed
J Am Geriatr Soc. 2010 Sep;58(9):1721-6 PubMed
J Gerontol B Psychol Sci Soc Sci. 1998 Jan;53(1):S46-57 PubMed
Am J Clin Nutr. 1989 Nov;50(5 Suppl):1121-235 PubMed
BMC Med Res Methodol. 2012 Jun 11;12:74 PubMed
Aging Male. 2010 Sep;13(3):211-4 PubMed
J Clin Epidemiol. 2007 Mar;60(3):256-9 PubMed
J Gerontol A Biol Sci Med Sci. 2002 Apr;57(4):M209-16 PubMed
J Appl Physiol (1985). 2003 Nov;95(5):1851-60 PubMed
J Frailty Aging. 2014;3(4):199-204 PubMed