scholarly journals Erratum: Gibson, A.A.; et al. Comparison of Very Low Energy Diet Products Available in Australia and How to Tailor Them to Optimise Protein Content for Younger and Older Adult Men and Women Healthcare 2016, 4, 71

Healthcare ◽  
2016 ◽  
Vol 4 (4) ◽  
pp. 76
Author(s):  
Keyword(s):  
Protein Content ◽  
Older Adult ◽  
Low Energy ◽  
Men And Women ◽  
Very Low Energy Diet ◽  
Adult Men ◽  
Low Energy Diet

scholarly journals Comparison of Very Low Energy Diet Products Available in Australia and How to Tailor Them to Optimise Protein Content for Younger and Older Adult Men and Women

Healthcare ◽  
2016 ◽  
Vol 4 (3) ◽  
pp. 71 ◽  
Author(s):  
Alice Gibson ◽  
Janet Franklin ◽  
Andrea Pattinson ◽  
Zilvia Cheng ◽  
Samir Samman ◽  
...  
Keyword(s):  
Protein Content ◽  
Older Adult ◽  
Low Energy ◽  
Men And Women ◽  
Very Low Energy Diet ◽  
Adult Men ◽  
Low Energy Diet

Accuracy of aggregate 2- and 3-component models of body composition relative to 4-component for the measurement of changes in fat mass during weight loss in overweight and obese subjects

2014 ◽  
Vol 39 (8) ◽  
pp. 871-879 ◽  
Author(s):  
Jose Lara ◽  
Alexandra M. Johnstone ◽  
Jonathan Wells ◽  
Susan Jebb ◽  
Mario Siervo
Keyword(s):  
Weight Loss ◽  
Fat Mass ◽  
Reference Method ◽  
Low Energy ◽  
Aggregate Model ◽  
Men And Women ◽  
Very Low Energy Diet ◽  
The Individual ◽  
Component Models ◽  
Low Energy Diet

The 4-component (4-C) model is the reference method to measure fat mass (FM). Simpler 2-component (2-C) models are widely used to assess FM. We hypothesised that an aggregate 2-C model may improve accuracy of FM assessment during weight loss (WL). One hundred and six overweight and obese men and women were enrolled in different WL programs (fasting, very low energy diet, low energy diet). Body density, bone mineral content, and total body water were measured. FM was calculated using 2-C, 3-C, and 4-C models. Aggregate equations for 2-C, 3-C, and 4-C models were calculated, with the aggregate 4-C model assumed as the reference method. The aggregate approach postulates that the average of the individual estimates obtained from each model is more accurate than the best single measurement. The average WL was −7.5 kg. The agreement between 3-C and 4-C models for FM change was excellent (R2= 0.99). The aggregate 2-C equation was more accurate than individual 2-C estimates in measuring changes in FM. The aggregate model was characterised by a lower measurement error at baseline and post-WL. The relationship between the aggregate 3-C and 4-C component models was highly linear (R2= 0.99), whereas a lower linearity was found for the aggregate 2-C and 4-C model (R2= 0.72). The aggregate 2-C model is characterised by a greater accuracy than commonly applied 2-C equations for the measurement of FM during WL in overweight and obese men and women.

scholarly journals Substance Use and Mental Health in Emerging Adult Vs Older Adult Men and Women With Opioid Use Disorder

2020 ◽  
Vol 29 (6) ◽  
pp. 536-542 ◽  
Author(s):  
Celestina Barbosa‐Leiker ◽  
Aimee N.C. Campbell ◽  
Martina Pavlicova ◽  
Jennifer Scodes ◽  
A. Kathleen Burlew ◽  
...  
Keyword(s):  
Mental Health ◽  
Substance Use ◽  
Older Adult ◽  
Emerging Adult ◽  
Opioid Use Disorder ◽  
Opioid Use ◽  
Men And Women ◽  
Adult Men

A287 Effect of Gastric Bypass and Very-Low Energy Diet on cardiometabolic risk factors

2019 ◽  
Vol 15 (10) ◽  
pp. S114
Author(s):  
Line Kristin Johnson ◽  
Rune Sandbu ◽  
Ida Robertsen ◽  
Anders Åsberg ◽  
Tommy Andersson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Bypass ◽  
Cardiometabolic Risk ◽  
Low Energy ◽  
Cardiometabolic Risk Factors ◽  
Very Low Energy Diet ◽  
Low Energy Diet

scholarly journals Attrition Bias in an Observational Study of Very Low‐Energy Diet: A Cohort Study

Obesity ◽  
2020 ◽  
Vol 29 (1) ◽  
pp. 213-219
Author(s):  
Deanna J. M. Isaman ◽  
William H. Herman ◽  
Amy E. Rothberg
Keyword(s):  
Cohort Study ◽  
Observational Study ◽  
Low Energy ◽  
Attrition Bias ◽  
Very Low Energy Diet ◽  
Low Energy Diet

Impact of a very low-energy diet on the fecal microbiota of obese individuals

2013 ◽  
Vol 53 (6) ◽  
pp. 1421-1429 ◽  
Author(s):  
C. D. Simões ◽  
J. Maukonen ◽  
K. P. Scott ◽  
K. A. Virtanen ◽  
K. H. Pietiläinen ◽  
...  
Keyword(s):  
Fecal Microbiota ◽  
Low Energy ◽  
Very Low Energy Diet ◽  
Low Energy Diet
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