Aggregate predictions improve accuracy when calculating metabolic variables used to guide treatment

American Journal of Clinical Nutrition

Volumn 89, Issue 2, 2009, Pages 491-499

  Wells, Jonathan C K ^a   Williams, Jane E ^a   Haroun, Dalia ^a   Fewtrell, Mary S ^a   Colantuoni, Antonio ^b   Siervo, Mario ^c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^c MRC HUMAN NUTRITION RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADOLESCENT; ADULT; AGE DISTRIBUTION; ANTHROPOMETRY; ARTICLE; BODY COMPOSITION; BODY FAT; BODY HEIGHT; BODY MASS; BODY WEIGHT; CALCULATION; CHILD; ENERGY CONSUMPTION; FEMALE; HUMAN; INTERMETHOD COMPARISON; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METABOLIC PARAMETERS; METABOLIC RATE; NORMAL HUMAN; PRACTICE GUIDELINE; PREDICTION; PREDICTIVE VALIDITY; PREDICTOR VARIABLE; REFERENCE VALUE; SKINFOLD THICKNESS; TOTAL BODY WATER; TREATMENT PLANNING;

ADIPOSE TISSUE; ADOLESCENT; ADULT; ANTHROPOMETRY; BASAL METABOLISM; BIAS (EPIDEMIOLOGY); BODY COMPOSITION; BODY WATER; CHILD; CHILD, PRESCHOOL; FEMALE; HUMANS; MALE; MATHEMATICS; MUSCLE, SKELETAL; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 59649122649     PISSN: 00029165     EISSN: None     Source Type: Journal    
DOI: 10.3945/ajcn.2008.26629     Document Type: Article

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