Literature DB >> 1573186

Appendicular skeletal muscle areas assessed by magnetic resonance imaging in older persons.

R N Baumgartner1, R L Rhyne, C Troup, S Wayne, P J Garry.   

Abstract

Measurements of cross-sectional muscle areas of the upper-arm and mid-thigh from MRI images were compared to corresponding estimates from anthropometric measurements of limb circumferences and skinfold thicknesses in 25 normal, healthy, elderly persons. The anthropometric method significantly overestimated actual muscle areas, and the amount of error increased systematically with level of adiposity. These results agree with those from other, similar studies using CT in younger adults, but indicate that the degree of error is 2 to 3 times greater for elderly persons. At present, there does not appear to be any simple way to "correct" the anthropometric method. Prediction methods may be developed, but these will still produce large errors for some individuals. Alternative approaches are discussed.

Entities:  

Mesh:

Year:  1992        PMID: 1573186     DOI: 10.1093/geronj/47.3.m67

Source DB:  PubMed          Journal:  J Gerontol        ISSN: 0022-1422


  4 in total

1.  The accuracy of volume estimates using ultrasound muscle thickness measurements in different muscle groups.

Authors:  Masae Miyatani; Hiroaki Kanehisa; Masamitsu Ito; Yasuo Kawakami; Tetsuo Fukunaga
Journal:  Eur J Appl Physiol       Date:  2003-10-21       Impact factor: 3.078

2.  AMPK agonist AICAR improves cognition and motor coordination in young and aged mice.

Authors:  Tali Kobilo; Davide Guerrieri; Yongqing Zhang; Sarah C Collica; Kevin G Becker; Henriette van Praag
Journal:  Learn Mem       Date:  2014-01-17       Impact factor: 2.460

3.  Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition.

Authors:  Mathuramat Seesen; Wachiranun Sirikul; Jetsada Ruangsuriya; Jiranan Griffiths; Penprapa Siviroj
Journal:  Nutrients       Date:  2021-11-25       Impact factor: 5.717

4.  Derivation and validation of simple equations to predict total muscle mass from simple anthropometric and demographic data.

Authors:  Yasmin Y Al-Gindan; Catherine Hankey; Lindsay Govan; Dympna Gallagher; Steven B Heymsfield; Michael E J Lean
Journal:  Am J Clin Nutr       Date:  2014-08-13       Impact factor: 7.045

  4 in total

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