Prediction of segmental lean mass using anthropometric variables in young adults

References

• Arthurs , K. L. and Andrews , D. M. 2009 . Upper extremity soft and rigid tissue mass prediction using segment anthropometric measures and DXA . Journal of Biomechanics , 42 : 389 – 394 .
   PubMed Web of Science ®Google Scholar
• Atkinson , G. 2003 . “ What is this thing called measurement error? ” . In Kinanthropometry viii. Proceedings of the 8^th international conference of the International Society for the Advancement of Kinanthropometry (ISAK) (pp. 3–14) , Edited by: Reilly , T. and Marfell-Jones , M. London : Routledge .
   Google Scholar
• Bell , W. , Cobner , D. M. and Evans , W. D. 2000 . Prediction and validation of fat-free mass in the lower limbs of young adult male Rugby Union players using dual-energy X-ray absorptiometry as the criterion measure . Ergonomics , 43 : 1708 – 1717 .
   PubMed Web of Science ®Google Scholar
• Behnke , A. R. Jr. , Feen , B. G. and Welham , W. C. 1942 . The specific gravity of healthy men. Body weight divided by volume as an index of obesity . Journal of the American Medical Association , 118 : 495 – 498 .
   Google Scholar
• Burkhart , T. A. , Arthurs , K. L. and Andrews , D. M. 2008 . Reliability of upper and lower extremity anthropometric measurements and the effect on tissue mass predictions . Journal of Biomechanics , 41 : 1604 – 1610 .
   PubMed Web of Science ®Google Scholar
• Burkhart , T. A. , Arthurs , K. L. and Andrews , D. M. 2009 . Manual segmentation of DXA scan images results in reliable upper and lower extremity soft and rigid tissue mass estimates . Journal of Biomechanics , 42 : 1138 – 1142 .
   PubMed Web of Science ®Google Scholar
• Byrne , N. M. , Weinsier , R. L. , Hunter , G. R. , Desmond , R. , Patterson , M. A. and Darnell , B. E. 2003 . Influence of distribution of lean body mass on resting metabolic rate after weight loss and weight regain: Comparison of responses in white and black women . American Journal of Clinical Nutrition , 77 : 1368 – 1373 .
   PubMed Web of Science ®Google Scholar
• Chen , Z. , Wang , Z. , Lohman , T. , Heymsfield , S. B. , Outwater , E. and Nicholas , J. S. 2007 . Dual-energy X-ray absorptiometry is a valid tool for assessing skeletal muscle mass in older women . Journal of Nutrition , 137 : 2775 – 2780 .
   PubMed Web of Science ®Google Scholar
• Clarys , J. P. and Marfell-Jones , M. J. 1986 . Anthropometric prediction of component tissue masses in the minor limb segments of the human body . Human Biology , 58 : 761 – 769 .
   PubMed Web of Science ®Google Scholar
• Clarys , J. P. and Marfell-Jones , M. J. 1994 . Soft tissue segmentation of the body and fractionation of the upper and lower limbs . Ergonomics , 37 : 217 – 229 .
   PubMed Web of Science ®Google Scholar
• Clarys , J. P. and Martin , A. D. 1985 . “ The concept of adipose tissue-free mass ” . In Human body composition and fat distribution , Edited by: Norgan , N. C. 49 – 63 . Wageningen : Stichting Nederlands Instituut voor de Voeding .
   Google Scholar
• Clarys , J. P. , Scafoglieri , A. , Provyn , S. , Louis , O. , Wallace , J. A. and De Mey , J. 2010 . A macro-quality evaluation of DXA variables using whole dissection, ashing, and computer tomography in pigs . Obesity (Silver Spring) , 18 : 1477 – 1485 .
   PubMed Web of Science ®Google Scholar
• Demura , S. and Sato , S. 2007 . Prediction of visceral fat area in Japanese adults: Proposal of prediction method applicable inafield setting . European Journal of Clinical Nutrition , 61 : 727 – 735 .
   PubMed Web of Science ®Google Scholar
• Demura , S. , Sato , S. and Noguchi , T. 2005 . Prediction of segmental percent fat using anthropometric variables . Journal of Sports Medicine and Physical Fitness , 45 : 518 – 523 .
   PubMed Web of Science ®Google Scholar
• Eston , R. and Reilly , T. 2001 . Kinanthropometry and exercise physiology laboratory manual: Tests, procedures and data , London : Routledge .
   Google Scholar
• Fouladiun , M. , Körner , U. , Bosaeus , I. , Daneryd , P. , Hyltander , A. and Lundholm , K. G. 2005 . Body composition and time course changes in regional distribution of fat and lean tissue in unselected cancer patients on palliative care: Correlations with food intake, metabolism, exercise capacity, and hormones . Cancer , 103 : 2189 – 2198 .
   PubMed Web of Science ®Google Scholar
• Freda , P. U. , Shen , W. , Reyes-Vidal , C. M. , Geer , E. B. , Arias-Mendoza , F. and Gallagher , D. 2009 . Skeletal muscle mass in acromegaly assessed by magnetic resonance imaging and dual-photon x-ray absorptiometry . Journal of Clinical Endocrinology and Metabolism , 94 : 2880 – 2886 .
   PubMed Web of Science ®Google Scholar
• Gallagher , D. , Belmonte , D. , Deurenberg , P. , Wang , Z. , Krasnow , N. and Pi-Sunyer , F. X. 1998 . Organ-tissue mass measurement allows modeling of REE and metabolically active tissue mass . American Journal of Physiology , 275 : E249 – 258 .
   PubMed Web of Science ®Google Scholar
• Gallagher , D. and Heymsfield , S. B. 1998 . Muscle distribution: Variations with body weight, gender and age . Applied Radiation and Isotopes , 49 : 733 – 734 .
   PubMed Web of Science ®Google Scholar
• Godin , G. and Shepard , R. J. 1985 . A simple method to assess exercise behavior in the community . Canadian Journal of Applied Sport Sciences , 10 : 141 – 146 .
   PubMedGoogle Scholar
• Goodpaster , B. H. , Thaete , F. L. and Kelley , D. E. 2000 . Compositionof skeletal muscle evaluated with computed tomography . Annals of the New York Academy of Sciences , 904 : 18 – 24 .
   PubMed Web of Science ®Google Scholar
• Goran , M. I. , Gower , B. A. , Treuth , M. and Nagy , T. R. 1998 . Prediction of intra-abdominal and subcutaneous abdominal adipose tissue in healthy pre-pubertal children . International Journal of Obesity Related Metabolic Disorders , 22 : 549 – 558 .
   PubMed Web of Science ®Google Scholar
• Holmes , J. D. , Andrews , D. M. , Durkin , J. L. and Dowling , J. J. 2005 . Predicting in vivo soft tissue masses of the lower extremity using segment anthropometric measures and DXA . Journal of Applied Biomechanics , 21 : 371 – 382 .
   PubMed Web of Science ®Google Scholar
• Hunter , G. R. , Weinsier , R. L. , Gower , B. A. and Wetzstein , C. 2001 . Age-related decrease in resting energy expenditure in sedentary white women: Effects of regional differences in lean and fat mass . American Journal of Clinical Nutrition , 73 : 333 – 337 .
   PubMed Web of Science ®Google Scholar
• Janssen , I. , Heymsfield , S. B. , Wang , Z. and Ross , R. 2000 . Skeletal muscle mass and distribution in 468 men and women aged 18–88 yr . Journal of Applied Physiology , 89 : 81 – 88 .
   PubMed Web of Science ®Google Scholar
• Kim , J. , Heshka , S. , Gallagher , D. , Kotler , D. P. , Mayer , L. and Albu , J. 2004 . Intermuscular adipose tissue-free skeletalmuscle mass: Estimation by dual-energy X-ray absorptiometry in adults . Journal of Applied Physiology , 97 : 655 – 660 .
   PubMed Web of Science ®Google Scholar
• Kim , J. , Shen , W. , Gallagher , D. , Jones , A. Jr. , Wang , Z. and Wang , J. 2006 . Total-body skeletal muscle mass: Estimation by dual-energy X-ray absorptiometry in children and adolescents . American Journal of Clinical Nutrition , 84 : 1014 – 1020 .
   PubMed Web of Science ®Google Scholar
• Kuwahata , R. , Kuwahata , T. , Iwamoto , I. and Douchi , T. 2005 . Discordance in the decline in regional lean and bone mass with advancing age . Journal of Obstetrics and Gynaecology Research , 31 : 571 – 575 .
   PubMed Web of Science ®Google Scholar
• LeBlanc , A. D. , Schneider , V. S. , Evans , H. J. , Pientok , C. , Rowe , R. and Spector , E. 1992 . Regional changes in muscle mass following 17 weeks of bed rest . Journal of Applied Physiology , 73 : 2172 – 2178 .
   PubMed Web of Science ®Google Scholar
• Lee , R. C. , Wang , Z. M. and Heymsfield , S. B. 2001 . Skeletal muscle mass and aging: Regional and whole-body measurement methods . Canadian Journal of Applied Physiology , 26 : 102 – 122 .
   PubMedGoogle Scholar
• Marfell-Jones , M. , Olds , T. , Stewart , A. D. and Carter , J. E.L. 2006 . International standards for anthropometric assessment , North-West University : Potchefstroom, Republic of South Africa .
   Google Scholar
• Martin , R. and Saller , K. 1957 . Lehrbuch der Anthropologie in systematischer darstellung mit besonderer berücksichtigung der anthropologischen , Stuttgart : Gustav Fischer Verlag . methoden [Textbook of anthropology in a systematic presentation with special emphasis on the anthropological methods]
   Google Scholar
• Müller , M. J. , Illner , K. , Bosy-Westphal , A. , Brinkmann , G. and Heller , M. 2001 . Regional lean body mass and resting energy expenditure in non-obese adults . European Journal of Nutrition , 40 : 93 – 97 .
   PubMed Web of Science ®Google Scholar
• Ritchie , C. B. and Davidson , R. T. 2007 . Regional body composition in college-aged Caucasians from anthropometric measures . Nutrition & Metabolism (London) , 4 : 29
   PubMed Web of Science ®Google Scholar
• Rolland-Cachera , M. F. , Brambilla , P. , Manzoni , P. , Akrout , M. , Sironi , S. and Del Maschio , A. 1997 . Body composition assessed on the basis of arm circumference and triceps skinfold thickness: A new index validated in children by magnetic resonance imaging . American Journal of Clinical Nutrition , 65 : 1709 – 1713 .
   PubMed Web of Science ®Google Scholar
• Ross , R. 1996 . Magnetic resonance imaging provides new insights into the characterization of adipose and lean tissue distribution . Canadian Journal of Physiology and Pharmacology , 74 : 778 – 785 .
   PubMed Web of Science ®Google Scholar
• Ross , R. , Goodpaster , B. , Kelley , D. and Boada , F. 2000 . Magnetic resonance imaging in human body composition research: From quantitative to qualitative tissue measurement . Annals of the New York Academy of Sciences , 904 : 12 – 17 .
   PubMed Web of Science ®Google Scholar
• Scafoglieri , A. , Provyn , S. , Bautmans , I. , Van Roy , P. and Clarys , J. P. 2011 . Direct relationship of body mass index and waist circumference with body tissue distribution in elderly persons . Journal of Nutrition, Health & Aging , 15 : 924 – 931 .
   PubMed Web of Science ®Google Scholar
• Snyder , W. S. , Cook , M. J. , Nasset , E. S. , Kahausen , L. R. , Howells , G. P. and Tipton , I. H. 1975 . Report of the task group on reference man , Oxford : Pergamon .
   Google Scholar
• Tanaka , G. and Kawamura , H. 2000 . “ Reference man models based on normal data from human populations [Online] ” . Retrieved 24 June 2011 from http://www.irpa.net/irpa10/cdrom/00602.pdf
   Google Scholar
• Wang , Z. , Heshka , S. , Wang , J. , Gallagher , D. , Deurenberg , P. and Chen , Z. 2007 . Metabolically active portion of fat-free mass: A cellular body composition level modeling analysis . American Journal of Physiology Endocrinology and Metabolism , 292 : E49 – 53 .
   PubMed Web of Science ®Google Scholar
• Wang , Z. M. , Pierson , R. N. Jr. and Heymsfield , S. B. 1992 . The five-level model: A new approach to organizing body-composition research . American Journal of Clinical Nutrition , 56 : 19 – 28 .
   PubMed Web of Science ®Google Scholar
• Wang , J. , Thornton , J. C. , Kolesnik , S. and Pierson , R. N. Jr. 2000 . Anthropometry in body composition. An overview . Annals of the New York Academy of Sciences , 904 : 317 – 326 .
   PubMed Web of Science ®Google Scholar
• Wang , W. , Wang , Z. , Faith , M. S. , Kotler , D. , Shih , R. and Heymsfield , S. B. 1999 . Regional skeletal muscle measurement: Evaluation of new dual-energy X-ray absorptiometry model . Journal of Applied Physiology , 87 : 1163 – 1171 .
   PubMed Web of Science ®Google Scholar