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Items: 1 to 20 of 102

1.

New Prediction Equations to Estimate Appendicular Skeletal Muscle Mass Using Calf Circumference: Results From NHANES 1999-2006.

Santos LP, Gonzalez MC, Orlandi SP, Bielemann RM, Barbosa-Silva TG, Heymsfield SB; COCONUT Study Group.

JPEN J Parenter Enteral Nutr. 2019 May 12. doi: 10.1002/jpen.1605. [Epub ahead of print]

PMID:
31081126
2.

Appendicular skeletal muscle in hospitalised hip-fracture patients: development and cross-validation of anthropometric prediction equations against dual-energy X-ray absorptiometry.

Villani AM, Crotty M, Cameron ID, Kurrle SE, Skuza PP, Cleland LG, Cobiac L, Miller MD.

Age Ageing. 2014 Nov;43(6):857-62. doi: 10.1093/ageing/afu106. Epub 2014 Jul 21.

PMID:
25049262
3.

[Anthropometric model for the prediction of appendicular skeletal muscle mass in Chilean older adults].

Lera L, Albala C, Ángel B, Sánchez H, Picrin Y, Hormazabal MJ, Quiero A.

Nutr Hosp. 2014 Mar 1;29(3):611-7. doi: 10.3305/nh.2014.29.3.7062. Spanish.

4.

Appendicular Skeletal Muscle Mass: Development and Validation of Anthropometric Prediction Equations.

Visvanathan R, Yu S, Field J, Chapman I, Adams R, Wittert G, Visvanathan T.

J Frailty Aging. 2012;1(4):147-51. doi: 10.14283/jfa.2012.23.

PMID:
27093315
5.

Anthropometric equation for estimation of appendicular skeletal muscle mass in Chinese adults.

Wen X, Wang M, Jiang CM, Zhang YM.

Asia Pac J Clin Nutr. 2011;20(4):551-6.

6.

Development and validation of anthropometric prediction equations for estimation of lean body mass and appendicular lean soft tissue in Indian men and women.

Kulkarni B, Kuper H, Taylor A, Wells JC, Radhakrishna KV, Kinra S, Ben-Shlomo Y, Smith GD, Ebrahim S, Byrne NM, Hills AP.

J Appl Physiol (1985). 2013 Oct 15;115(8):1156-62. doi: 10.1152/japplphysiol.00777.2013. Epub 2013 Aug 15.

7.

Development of prediction equations for estimating appendicular skeletal muscle mass in Japanese men and women.

Furushima T, Miyachi M, Iemitsu M, Murakami H, Kawano H, Gando Y, Kawakami R, Sanada K.

J Physiol Anthropol. 2017 Aug 29;36(1):34. doi: 10.1186/s40101-017-0150-x.

8.

Development and validation of two equations based on anthropometry, estimating body fat for the Greek adult population.

Kanellakis S, Skoufas E, Khudokonenko V, Apostolidou E, Gerakiti L, Andrioti MC, Bountouvi E, Manios Y.

Obesity (Silver Spring). 2017 Feb;25(2):408-416. doi: 10.1002/oby.21736. Epub 2017 Jan 10.

9.

Estimation of body fat in adults using a portable A-mode ultrasound.

Bielemann RM, Gonzalez MC, Barbosa-Silva TG, Orlandi SP, Xavier MO, Bergmann RB, Assunção MC; Grupo de Estudos em Composição Corporal e Nutrição-CoCoNut.

Nutrition. 2016 Apr;32(4):441-6. doi: 10.1016/j.nut.2015.10.009. Epub 2015 Oct 30.

PMID:
26740255
10.

Development and validation of anthropometric prediction equations for lean body mass, fat mass and percent fat in adults using the National Health and Nutrition Examination Survey (NHANES) 1999-2006.

Lee DH, Keum N, Hu FB, Orav EJ, Rimm EB, Sun Q, Willett WC, Giovannucci EL.

Br J Nutr. 2017 Nov;118(10):858-866. doi: 10.1017/S0007114517002665. Epub 2017 Nov 7.

PMID:
29110742
11.

Estimation of appendicular skeletal muscle: Development and validation of anthropometric prediction equations in Chinese patients with knee osteoarthritis.

Wu P, Chen L, Jin J, Zhang Y, Su C, Wu C, Lang J, Chen L, Jin K.

Australas J Ageing. 2019 Aug 9. doi: 10.1111/ajag.12709. [Epub ahead of print]

PMID:
31400038
12.

Estimation of total-body skeletal muscle mass in children and adolescents.

Poortmans JR, Boisseau N, Moraine JJ, Moreno-Reyes R, Goldman S.

Med Sci Sports Exerc. 2005 Feb;37(2):316-22.

PMID:
15692329
13.

Development and validation of anthropometric equations to estimate appendicular muscle mass in elderly women.

Pereira PM, da Silva GA, Santos GM, Petroski EL, Geraldes AA.

Nutr J. 2013 Jul 2;12:92. doi: 10.1186/1475-2891-12-92.

14.

Anthropometric models to predict appendicular lean soft tissue in adolescent athletes.

Quiterio AL, Carnero EA, Silva AM, Bright BC, Sardinha LB.

Med Sci Sports Exerc. 2009 Apr;41(4):828-36. doi: 10.1249/MSS.0b013e31818ffe4b.

PMID:
19276850
15.

The influence of body build on estimates of body composition from anthropometric measurements in premenopausal women.

Rutishauser IH, Pasco JA, Wheeler CE.

Eur J Clin Nutr. 1995 Apr;49(4):248-55.

PMID:
7796782
16.

Calf circumference as a surrogate marker of muscle mass for diagnosing sarcopenia in Japanese men and women.

Kawakami R, Murakami H, Sanada K, Tanaka N, Sawada SS, Tabata I, Higuchi M, Miyachi M.

Geriatr Gerontol Int. 2015 Aug;15(8):969-76. doi: 10.1111/ggi.12377. Epub 2014 Sep 20.

PMID:
25243821
18.

Assessment of skinfold thickness equations in estimating body composition in children with inflammatory bowel disease.

Callias C, Ezri J, Marques-Vidal PM, Nydegger A.

J Paediatr Child Health. 2016 May;52(5):547-55. doi: 10.1111/jpc.13146. Epub 2016 May 3.

PMID:
27144479
19.

Use of prediction equations to determine the accuracy of whole-body fat and fat-free mass and appendicular skeletal muscle mass measurements from a single abdominal image using computed tomography in advanced cancer patients.

Kilgour RD, Cardiff K, Rosenthall L, Lucar E, Trutschnigg B, Vigano A.

Appl Physiol Nutr Metab. 2016 Jan;41(1):70-5. doi: 10.1139/apnm-2015-0068. Epub 2015 Oct 7.

PMID:
26695688
20.

Predicting football players' dual-energy x-ray absorptiometry body composition using standard anthropometric measures.

Oliver JM, Lambert BS, Martin SE, Green JS, Crouse SF.

J Athl Train. 2012 May-Jun;47(3):257-63. doi: 10.4085/1062-6050-47.3.12.

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