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POOR NUTRITIONAL STATUS AND INFLAMMATION: Anthropometric and Body Composition Assessment in Dialysis Patients
Author(s) -
Chumlea William C.
Publication year - 2004
Publication title -
seminars in dialysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.899
H-Index - 78
eISSN - 1525-139X
pISSN - 0894-0959
DOI - 10.1111/j.0894-0959.2004.17607.x
Subject(s) - medicine , anthropometry , bioelectrical impedance analysis , dialysis , body water , waist , population , dual energy x ray absorptiometry , dialysis adequacy , circumference , obesity , physical therapy , body mass index , body weight , environmental health , bone mineral , geometry , osteoporosis , mathematics
Anthropometric and body composition assessments provide important information about the nutritional status of dialysis patients. Anthropometric measurements describe body size, fatness, and leanness in dialysis patients and have been collected in the Modification of Diet in Renal Disease (MDRD) and HEMO studies. Dialysis patients present special problems for anthropometry, including decreased functional status and increased comorbidity, that challenge nutrition assessment methodology. Recumbent anthropometric techniques are recommended and stature is estimated from knee height. Measures of weight, stature, calf circumference, arm circumference, and triceps and subscapular skinfolds have recently been reported for dialysis patients, who tend to be shorter, lighter, and have less adipose tissue than healthy persons of the same age. The HEMO study anthropometric data provide a clinical reference for assessing the nutritional status of dialysis patients. The most common body composition methods used with dialysis patients are dual energy X‐ray absorptiometry (DEXA), bioelectrical impedance, total body water (TBW), and prediction equations, but they are not recommended for assessment of predialysis patients, as estimates are best obtained postdialysis. The TBW volume used in calculating the dose of dialysis has commonly been predicted from the limited, out‐of‐date equations of Watson, based on nonrepresentative samples. New prediction equations are available for white, black, and Mexican American children and adults. Watson's data are not representative of the TBW of U.S. men and women. The greater TBW in non‐Hispanic black men and women and Mexican American women reflects the greater levels of obesity in the U.S. population.