Wm Cameron Chumlea
Overview
Explore the profile of Wm Cameron Chumlea including associated specialties, affiliations and a list of published articles.
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Articles
26
Citations
760
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0
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Recent Articles
21.
Remsberg K, Demerath E, Schubert C, Chumlea W, Sun S, Siervogel R
J Clin Endocrinol Metab
. 2005 Feb;
90(5):2718-24.
PMID: 15728207
The purpose of this study was to evaluate the influence of menarcheal age on changes in insulin, glucose, lipids, and blood pressure during adolescence and to assess whether body composition...
22.
Lee M, Czerwinski S, Choh A, Towne B, Demerath E, Chumlea W, et al.
Bone
. 2004 Nov;
35(5):1157-63.
PMID: 15542041
Quantitative ultrasound (QUS) measurements of bone have been reported to predict osteoporotic fracture risk in postmenopausal women and older men. Although many studies have examined the heritability of bone mineral...
23.
de Onis M, Onyango A, Van den Broeck J, Chumlea W, Martorell R
Food Nutr Bull
. 2004 Apr;
25(1 Suppl):S27-36.
PMID: 15069917
Thorough training, continuous standardization, and close monitoring of the adherence to measurement procedures during data collection are essential for minimizing random error and bias in multicenter studies. Rigorous anthropometry and...
24.
Chumlea W, Dwyer J, Bergen C, Burkart J, Paranandi L, Frydrych A, et al.
J Ren Nutr
. 2003 Feb;
13(1):31-8.
PMID: 12563621
Objective: Anthropometric methods are screening techniques for assessing nutritional stores of fat and lean tissues among persons with renal disease. This report presents cross-sectional baseline data on anthropometric indicators of...
25.
Dwyer J, Larive B, Leung J, Rocco M, Burrowes J, Chumlea W, et al.
J Ren Nutr
. 2002 Oct;
12(4):213-23.
PMID: 12382213
Objective: To evaluate associations between frequently used indicators for assessing nutritional status and health-related quality of life in hemodialysis patients after controlling for demographics, comorbidity, and dialysis dose. Design: Survey...
26.
Guo S, Roche A, Chumlea W, Johnson C, Kuczmarski R, Curtin R
Am J Hum Biol
. 2001 Sep;
12(1):64-74.
PMID: 11534005
The present study evaluates the precision of outlying percentile estimates, with age- and sex-associated variations and facilitates decisions needed to revise the current NCHS 1977 Growth Charts with regard to...