scholarly journals Derivation of anthropometric-based equations to predict lean body mass composition of cancer patients

2021 ◽  
Author(s):  
Autumn B Carey ◽  
Ashley S Felix ◽  
Jared D Huling ◽  
James B Odei ◽  
Christopher C Coss ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Lean Body Mass ◽  
Body Mass ◽  
Cancer Survival ◽  
Demographic Factors ◽  
Mass Composition ◽  
Dose Selection ◽  
Anthropometric Measures ◽  
Urine Creatinine ◽  
Body Mass Composition

Background Lean body mass (LBM) composition of cancer patients is a predictor of chemotherapy-related adverse events and overall cancer survival. However, clinicians lack validated algorithms that can be applied to measure the LBM of cancer patients to facilitate accurate chemotherapy dosing. Our goal was to develop LBM predictive equations using routinely measured anthropometric measures among cancer patients. Methods We leveraged the 1999-2006 National Health and Nutrition Examination Survey (NHANES) data cycles containing information on self-reported cancer diagnosis, LBM measures based on dual-energy x-ray absorptiometry (DXA) and several anthropometric and demographic factors. We restricted our analysis to participants who had been diagnosed with cancer at the time of surveys. The data was randomly split to 75%:25% to train and test predictive models. Least absolute shrinkage and selection operator (LASSO) models were used to predict LBM based on anthropometric and demographic factors, overall and separately among sex and sex-by-race/ethnic subgroups. LBM measured directly with DXA served as the gold standard for assessing the predictive abilities (correlations [R2] and the Root Mean Square Error [RMSE]) of the derived LBM-algorithms. We further compared the correlations between both DXA-based LBM and predicted LBM and urine creatinine levels, a known biomarker of muscle mass. Results We identified 1,777 cancer patients with a median age of 71 (interquartile range [IQR]: 60-80) years. The most parsimonious model comprised of height and weight, which accurately predicted LBM overall (R2=0.86, RMSE =2.26). The predictive abilities of these models varied across sex-by-race/ethnic groups. The magnitude of correlations between derived LBM-algorithm and urine creatinine levels were larger compared to those measured between DXA-based LBM and urine creatinine levels (R2=0.30 vs. R2=0.17) Conclusions We successfully developed a simple sex-specific and sex-by-race/ethnicity-specific models to accurately predict the LBM of cancer patients by using only height and weight. The simplicity and high accuracy of these models make them inexpensive alternatives to measuring the LBM of cancer patients. Data on the LBM of cancer patients could help guide optimal chemotherapy dose selection among cancer patients.

scholarly journals Derivation of anthropometric-based equations to predict lean body mass composition of cancer patients

2019 ◽  
Vol 36 ◽  
pp. 68-69
Author(s):  
A.B. Carey ◽  
A.S. Felix ◽  
J. Huling ◽  
J. Odei ◽  
C. Coss ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Lean Body Mass ◽  
Body Mass ◽  
Mass Composition ◽  
Body Mass Composition

scholarly journals Analysis of Relationship between the Body Mass Composition and Physical Activity with Body Posture in Children

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Justyna Wyszyńska ◽  
Justyna Podgórska-Bednarz ◽  
Justyna Drzał-Grabiec ◽  
Maciej Rachwał ◽  
Joanna Baran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass ◽  
Muscle Tissue ◽  
Physical Activity Level ◽  
The Body ◽  
Body Posture ◽  
Activity Level ◽  
Mass Composition ◽  
Body Mass Composition ◽  
The Relationship

Introduction. Excessive body mass in turn may contribute to the development of many health disorders including disorders of musculoskeletal system, which still develops intensively at that time.Aim. The aim of this study was to assess the relationship between children’s body mass composition and body posture. The relationship between physical activity level of children and the parameters characterizing their posture was also evaluated.Material and Methods. 120 school age children between 11 and 13 years were enrolled in the study, including 61 girls and 59 boys. Each study participant had the posture evaluated with the photogrammetric method using the projection moiré phenomenon. Moreover, body mass composition and the level of physical activity were evaluated.Results. Children with the lowest content of muscle tissue showed the highest difference in the height of the inferior angles of the scapulas in the coronal plane. Children with excessive body fat had less slope of the thoracic-lumbar spine, greater difference in the depth of the inferior angles of the scapula, and greater angle of the shoulder line. The individuals with higher level of physical activity have a smaller angle of body inclination.Conclusion. The content of muscle tissue, adipose tissue, and physical activity level determines the variability of the parameter characterizing the body posture.

scholarly journals Anthropometric and body-mass composition suggests an intrinsic feature in Williams-Beuren syndrome

2011 ◽  
Vol 57 (6) ◽  
pp. 667-671
Author(s):  
Roberto José Negrão Nogueira ◽  
Leonardo Ferreira Zimmerman ◽  
Yara Maria Franco Moreno ◽  
Cláudia Regina Comparini ◽  
Danilo Vilela Viana ◽  
...  
Keyword(s):  
Body Mass ◽  
Mass Composition ◽  
Body Mass Composition ◽  
Intrinsic Feature

Role of the lean body mass and of pharmacogenetic variants on the pharmacokinetics and pharmacodynamics of sunitinib in cancer patients

2014 ◽  
Vol 33 (1) ◽  
pp. 257-268 ◽  
Author(s):  
C. Narjoz ◽  
A. Cessot ◽  
A. Thomas-Schoemann ◽  
J. L. Golmard ◽  
O. Huillard ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Lean Body Mass ◽  
Body Mass ◽  
Pharmacokinetics And Pharmacodynamics

A Simple Test for the Assessment of Aerobic Fitness

1988 ◽  
Vol 74 (2) ◽  
pp. 107-114
Author(s):  
D. J. Smith ◽  
R. J. Pethybridge ◽  
A Duggan
Keyword(s):  
Heart Rate ◽  
Body Weight ◽  
Physical Fitness ◽  
Lean Body Mass ◽  
Body Mass ◽  
Test Score ◽  
Linear Regression Analysis ◽  
Treadmill Running ◽  
Step Test ◽  
Anthropometric Measures

SummaryThe relationship between physical fitness, anthropometric measures, and the scores in three submaximal step tests have been evaluated in a group of 30 male subjects. Physical fitness was assessed as VO2max measured directly during uphill treadmill running. Each submaximal exercise test was of six minutes duration and the heart rate recorded during the last minute (fH6) constituted the test score. Significant negative correlation coefficients were found between VO2max and each test score while lean body mass, gross body weight and body surface area were allpositively correlated with VO2max (1/min). The score in the least severe step test was included with anthropometric measures in multiple linear regression analysis for the prediction of VO2max and a number of prediction equations were derived. It was found that when lean body mass is calculated from skinfold measurements and weight, VO2max can be calculated from the equation:VO2max(1/min) = 1.470 + 0.0614 × Lean Body mass −0.0131 × fH6This equation accounts for 73% of the total variation of VO2max. If lean body mass cannot be calculated, a combination of gross body weight and age plus fH6 gives the equation:VO2max = 3.614 + 0.0349 × Weight – 0.0177 × fH6−0.0161 × Ageaccounting for 66% of the variance. The test has the following advantages over those currently employed:It is simple to administer requiring 6 minutes of stepping onto a 32 cm platform—the height of a gymnasium bench—20 times per minute.Although ideally an assessment oflean body mass is required, gross body weight plus age is a good second best.It is submaximal, minimising the stress on the individual (mean heart rate achieved 121 beats per minute).Its accuracy in terms of its ability to predict maximal aerobic power is better than either the Ohio or Harvard University tests.It is suggested that this test could be used where maximal testing is contraindicated or where currently used tests are insufficiently accurate.

The Effect of Exercise Training on Lean Body Mass in Breast Cancer Patients

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Steve F. Fraser ◽  
Jason R. Gardner ◽  
Jack Dalla Via ◽  
Robin M. Daly
Keyword(s):  
Breast Cancer ◽  
Exercise Training ◽  
Cancer Patients ◽  
Lean Body Mass ◽  
Body Mass ◽  
Breast Cancer Patients

scholarly journals Urinary Incontinence and Nocturia in Older Men: Associations with Body Mass, Composition and Strength in the Health ABC Study

2019 ◽  
Vol 202 (5) ◽  
pp. 1015-1021 ◽  
Author(s):  
Scott R. Bauer ◽  
Barbara Grimes ◽  
Anne M. Suskind ◽  
Peggy M. Cawthon ◽  
Steven Cummings ◽  
...  
Keyword(s):  
Urinary Incontinence ◽  
Body Mass ◽  
Older Men ◽  
Mass Composition ◽  
Body Mass Composition
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