Skip to main content
SpringerLink
Log in

Anthropometric Assessment in Kidney Disease

  • Chapter
  • First Online:
Nutrition in Kidney Disease

Part of the book series: Nutrition and Health ((NH))

  • 2392 Accesses

Abstract

An adequate nutritional status is inherent to an optimal level of health. In continuing illness states, such as chronic kidney disease (CKD), there is a significant interdependence between both. Nutritional status influences the disease process and its comorbidities. Renal failure and its management may have a negative impact on nutritional status thereby creating a vicious cycle. Thus, monitoring nutritional status and body composition is imperative to the appropriate management of CKD [1].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dumler F. Body composition modifications in patients under low protein diets. J Ren Nutr. 2011;21:76–81.

    Article  CAS  PubMed  Google Scholar 

  2. Dumler F. Use of bioelectric impedance analysis and dual-energy X-ray absorptiometry for monitoring the nutritional status of dialysis patients. ASAIO J. 1997;43:256–60.

    CAS  PubMed  Google Scholar 

  3. NHANES. Anthropometry manual. http://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/manual_an.pdf

  4. Heyward VH, Wagner DR. Applied body composition assessment. Champaign, IL: Human Kinetics; 2004.

    Google Scholar 

  5. Jackson AS, Pollock ML, Ward A. Generalized equations for predicting body density of women. Med Sci Sports Exerc. 1980;12:175–82.

    CAS  PubMed  Google Scholar 

  6. Jackson AS, Pollock ML. Generalized equations for predicting body density of men. Br J Nutr. 1978;40:497–504.

    Article  CAS  PubMed  Google Scholar 

  7. NHANES website. http://www.cdc.gov/nchs/nhanes.htm

  8. Kopple JD, Greene T, Chumlea WC, Hollinger D, Maroni BJ, Merrill D, Scherch LK, Schulman G, Wang S, Zimmer GS. Relationship between nutritional status and the glomerular filtration rate: results from the MDRD study. Kidney Int. 2000;57:1688–703.

    Article  CAS  PubMed  Google Scholar 

  9. Chumlea WC, Dwyer J, Bergen C, Burkart J, Paranandi L, Frydrych A, Cockram D, Kusek J, McLeroy S; HEMO Study Group. Nutritional status assessed from anthropometric measures in the HEMO study. J Ren Nutr. 2003;13:31–8.

    Google Scholar 

  10. Khosla T, Billewicz WZ. Measurements of change in body-height. Br J Nutr. 1964;18:227–39.

    Article  CAS  PubMed  Google Scholar 

  11. http://www.rxkinetics.com/height_estimate.html

  12. Haboubi NY, Hudson PR, Pathy MS. Measurement of height in the elderly. J Am Geriatr Soc. 1990;38:1008–10.

    CAS  PubMed  Google Scholar 

  13. Taylor RW, Keil D, Gold EJ, Williams SM, Goulding A. Body mass index, waist girth, and waist-to-hip ratio as indexes of total and regional adiposity in women: evaluation using receiver operating characteristic curves. Am J Clin Nutr. 1998;67:44–9.

    CAS  PubMed  Google Scholar 

  14. Taylor RW, Jones IE, Williams SM, Goulding A. Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3–19 years. Am J Clin Nutr. 2000;72:490–5.

    CAS  PubMed  Google Scholar 

  15. Valdez R, Seidell JC, Ahn YI, Weiss KM. A new index of abdominal adiposity as an indicator of risk for cardiovascular disease. A cross population study. Int J Obes Relat Metab Disord. 1993;17:77–82.

    CAS  PubMed  Google Scholar 

  16. Sanches FMR, Avesani CM, Kamimura MA, Lemos MM, Axelsson J, Vasselai P, Draibe SA, Cuppari L. Waist circumference and visceral fat in CKD: a cross-sectional study. Am J Kidney Dis. 2008;52:66–73.

    Article  PubMed  Google Scholar 

  17. Velludo CM, Kamimura MA, Sanches FM, Lemos MM, Canziani ME, Pupim LB, Draibe SA, Cuppari L. Prospective evaluation of waist circumference and visceral adipose tissue in patients with chronic kidney disease. Am J Nephrol. 2010;31(12):104–9.

    Article  PubMed  Google Scholar 

  18. Farouche NG, Sitar N, McKeigue PM. Relation of C-reactive protein to body fat distribution and features of the metabolic syndrome in Europeans and South Asians. Int J Obes Relat Metab Disord. 2001;25:1327–31.

    Article  Google Scholar 

  19. Saijo Y, Kiyota N, Kawasaki Y, Miyazaki Y, Kashimura J, Fukuda M, Kishi R. Relationship between C-reactive protein and visceral adipose tissue in healthy Japanese subjects. Diabetes Obes Metab. 2004;6:249–58.

    Article  CAS  PubMed  Google Scholar 

  20. Brinkley TE, Hsu FC, Beavers KM, Church TS, Goodpaster BH, Stafford RS, Pahor M, Kritchevsky SB, Nicklas BJ. Total and abdominal adiposity are associated with inflammation in older adults using a factor analysis approach. J Gerontol A Biol Sci Med Sci. 2012;67(10):1099–106. doi:10.1093/gerona/gls077.

    Article  PubMed  Google Scholar 

  21. Elsayed EF, Sarnak MJ, Tighiouart H, Griffith JL, Kurth T, Salem DN, Levey AS, Weiner DE. Waist-to-hip ratio, body mass index, and subsequent kidney disease and death. Am J Kidney Dis. 2008;52:29–38.

    Article  PubMed  Google Scholar 

  22. Kovesdy CP, Czira ME, Rudas A, Ujszaszi A, Rosivall L, Novak M, Kalantar-Zadeh K, Molnar MZ, Mucsi I. Body mass index, waist circumference and mortality in kidney transplant recipients. Am J Transplant. 2010;10:2644–51.

    Article  CAS  PubMed  Google Scholar 

  23. Kramer H, Shoham D, McClure LA, Durazo-Arvizu R, Howard G, Judd S, Muntner P, Safford M, Warnock DG, McClellan W. Association of waist circumference and body mass index with all-cause mortality in CKD: the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study. Am J Kidney Dis. 2011;58:177–85.

    Article  PubMed Central  PubMed  Google Scholar 

  24. Jacobs EJ, Newton CC, Wang Y, Patel AV, McCullough ML, Campbell PT, Thun MJ, Gapstur SM. Waist circumference and all-cause mortality in a large US cohort. Arch Intern Med. 2010;170:1293–301.

    Article  PubMed  Google Scholar 

  25. Zoccali C, Postorino M, Marino C, Pizzini P, Cutrupi S, Tripepi G; CREDIT Working Group. Waist circumference modifies the relationship between the adipose tissue cytokines leptin and adiponectin and all-cause and cardiovascular mortality in hemodialysis patients. J Intern Med. 2011;269:172–81.

    Google Scholar 

  26. Postorino M, Marino C, Tripepi G, Zoccali C; CREDIT Working Group. Abdominal obesity modifies the risk of hypertriglyceridemia for all-cause and cardiovascular mortality in hemodialysis patients. Kidney Int. 2011;79:765–72.

    Google Scholar 

  27. Emerging Risk Factors Collaboration. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet. 2011;377:1085–95.

    Google Scholar 

  28. Hsieh SD, Muto T. The superiority of waist-to-height ratio as an anthropometric index to evaluate clustering of coronary risk factor among non-obese men and women. Prev Med. 2005;40:216–20.

    Article  PubMed  Google Scholar 

  29. Chehrei A, Sadrnia S, Keshteli AH, Daneshmand MA, Rezael J. Correlation of dyslipidemia with waist to height ratio, waist circumference, and body mass index in Iranian adults. Asia Pac J Clin Nutr. 2007;16:248–53.

    PubMed  Google Scholar 

  30. Costa de Oliveira CM, Rios Melo S, Moreira do vale Mota A, Kubrusly M. Adductor pollicis muscle thickness: a promising anthropometric parameter for patients with chronic renal failure. J Ren Nutr. 2012;22:251–7.

    Google Scholar 

  31. Elsayed EF, Tighiouart MS, Weiner DE, Griffith J, Salem D, Levey AS, Sarnak MJ. Waist-to-hip ratio and body index as risk factors for cardiovascular events in CKD. Am J Kidney Dis. 2008;52:49–57.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Hanai K, Babazono T, Nyumura I, Toya K, Ohta M, Bouchi R, Suzuki K, Inoue A, Iwamoto Y. Involvement of visceral fat in the pathogenesis of albuminuria in patients with type 2 diabetes with early stage of nephropathy. Clin Exp Nephrol. 2010;14:132–6.

    Article  CAS  PubMed  Google Scholar 

  33. Noori N, Hosseinpanah F, Nasiri AA, Azizi F. Comparison of overall obesity and abdominal adiposity in predicting chronic kidney disease incidence among adults. J Ren Nutr. 2009;19:228–37.

    Article  CAS  PubMed  Google Scholar 

  34. Burton JO, Gray LJ, Webb DR, Davies MJ, Khunti K, Crasto W, Carr SJ, Brunskill NJ. Association of anthropometric obesity measures with chronic kidney disease risk in a non-diabetic patient population. Nephrol Dial Transplant. 2012;27(5):1860–6. doi:10.1093/ndt/gfr574.

    Article  PubMed  Google Scholar 

  35. Sezer S, Karakan S, Acar NO. Association of conicity index and renal progression in pre-dialysis chronic kidney disease. Ren Fail. 2012;34:165–70.

    CAS  PubMed  Google Scholar 

  36. Hayes PA, Sowood PJ, Belyavin A, Cohen JB, Smith FW. Subcutaneous fat thickness measured by magnetic resonance imaging, ultrasound, and calipers. Med Sci Sports Exerc. 1988;20:303–9.

    Article  CAS  PubMed  Google Scholar 

  37. Fryar CD, Gu Q, Ogden CL. Anthropometric reference data for children and adults: United States, 2007–2010. http://www.cdc.gov/nchs/nhanes/new_nhanes.htm

  38. Heyward VH, Wagner DR. Applied body composition assessment. Chapter 5. Champaign, IL: Human Kinetics; 2004. p. 78–82.

    Google Scholar 

  39. Frisancho R. New standard of weight and body composition by frame size and height for assessment of nutritional status of adults and the elderly. Am J Clin Nutr. 1984;40:808–19.

    CAS  PubMed  Google Scholar 

  40. Carter JEL. The Heath-Carter anthropometric somatotype. http://www.somatotype.org/Heath-CarterManual.pdf

Download references

Author information

Authors and Affiliations

  1. Division of Nephrology, Department of Medicine, Oakland University William Beaumont School of Medicine, William Beaumont Hospital-Royal Oak, 3535 W. 13 Mile Road, Suite #604, Royal Oak, MI, 48073, USA

    Francis Dumler M.D.

Authors
  1. Francis Dumler M.D.
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Francis Dumler M.D. .

Editor information

Editors and Affiliations

  1. Dept. Primary Care, University of Medicine & Dentistry, New Jersey, Stratford, New Jersey, USA

    Laura D. Byham-Gray

  2. Dept. Nutrition, Long Island University C.W. Post Campus, Brookville, New York, USA

    Jerrilynn D. Burrowes

  3. Div. Nephrology, Stanford University School of Medicine, Stanford, California, USA

    Glenn M. Chertow

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this chapter

Cite this chapter

Dumler, F. (2014). Anthropometric Assessment in Kidney Disease. In: Byham-Gray, L., Burrowes, J., Chertow, G. (eds) Nutrition in Kidney Disease. Nutrition and Health. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-685-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-62703-685-6_4

  • Published:

  • Publisher Name: Humana Press, Totowa, NJ

  • Print ISBN: 978-1-62703-684-9

  • Online ISBN: 978-1-62703-685-6

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics

Search

Navigation