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Please use this identifier to cite or link to this item:
http://ir.nhri.org.tw/handle/3990099045/5019
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| Title: | Thigh muscle volume predicted by anthropometric measurements and correlated with physical function in the older adults |
| Authors: | Chen, BB;Shih, TF;Hsu, CY;Yu, CW;Wei, SY;Chen, CY;Wu, CH;Chen, CY |
| Contributors: | Division of Gerontology Research |
| Abstract: | Objectives: 1) to correlate thigh muscle volume measured by magnetic resonance image (MRI) with anthropometric measurements and physical function in elderly subjects; 2) to predict MRI-measured thigh muscle volume using anthropometric measurements and physical functional status in elderly subjects. Design: Crosssectional, nonrandomized study. Setting: Outpatient clinic in Taiwan. Participants: Sixty-nine elderly subjects (33 men and 36 women) aged 65 and older. Measurments: The anthropometric data (including body height, body weight, waist size, and thigh circumference), physical activity and function (including grip strength, bilateral quadriceps muscle power, the up and go test, chair rise, and five meters walk time) and bioelectrical impedance analysis data (including total body fat mass, fat-free mass, and predictive muscle size) were measured. MRI-measured muscle volume of both thighs was used as the reference standard. Results: The MRI-measured thigh volume was positively correlated with all anthropometric data, quadriceps muscle power and the up and go test as well as fat-free mass and predictive muscle mass, whereas it was negatively associated with age and walk time. In predicting thigh muscle volume, the variables of age, gender, body weight, and thigh circumference were significant predictors in the linear regression model: Muscle volume(cm<sup>3</sup>) =4226.3-42.5×Age(year)-955.7 × gender(male=1, female=2)+45.9×body weight(kg) +60.0×thighcircumference (cm) (r<sup>2</sup> = 0.745, P < 0.001; Standard Error of the Estimate = 581.6cm<sup>3</sup>). Conclusion: The current work provides evidence of a strong relationship between thigh muscle volume and physical function in the elderly. We also developed a prediction equation model using anthropometric measurements. This model is a simple and noninvasive method for everyday clinical practice and follow-up. |
| Date: | 2011-06 |
| Relation: | The Journal of Nutrition, Health and Aging. 201 Jun;15(6):433-438. |
| Link to: | http://dx.doi.org/10.1007/s12603-010-0281-9 |
| JIF/Ranking 2023: | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1279-7707&DestApp=IC2JCR |
| Cited Times(WOS): | https://www.webofscience.com/wos/woscc/full-record/WOS:000291653200002 |
| Cited Times(Scopus): | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79960133306 |
| Appears in Collections: | [陳慶餘(2006-2010)] 期刊論文
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| PB2010090204.pdf | | 288Kb | Adobe PDF | 763 | View/Open |
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