Energy density of Fat and Fat-free mass

Slides:



Advertisements
Similar presentations
Numbers Treasure Hunt Following each question, click on the answer. If correct, the next page will load with a graphic first – these can be used to check.
Advertisements

Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
AGVISE Laboratories %Zone or Grid Samples – Northwood laboratory
Trend for Precision Soil Testing % Zone or Grid Samples Tested compared to Total Samples.
AP STUDY SESSION 2.
1
Worksheets.
& dding ubtracting ractions.
Copyright © 2003 Pearson Education, Inc. Slide 1 Computer Systems Organization & Architecture Chapters 8-12 John D. Carpinelli.
Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 6 Author: Julia Richards and R. Scott Hawley.
STATISTICS INTERVAL ESTIMATION Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University.
Addition and Subtraction Equations
Properties Use, share, or modify this drill on mathematic properties. There is too much material for a single class, so you’ll have to select for your.
Multiplication X 1 1 x 1 = 1 2 x 1 = 2 3 x 1 = 3 4 x 1 = 4 5 x 1 = 5 6 x 1 = 6 7 x 1 = 7 8 x 1 = 8 9 x 1 = 9 10 x 1 = x 1 = x 1 = 12 X 2 1.
Division ÷ 1 1 ÷ 1 = 1 2 ÷ 1 = 2 3 ÷ 1 = 3 4 ÷ 1 = 4 5 ÷ 1 = 5 6 ÷ 1 = 6 7 ÷ 1 = 7 8 ÷ 1 = 8 9 ÷ 1 = 9 10 ÷ 1 = ÷ 1 = ÷ 1 = 12 ÷ 2 2 ÷ 2 =
Objectives: Generate and describe sequences. Vocabulary:
OPTN Modifications to Heart Allocation Policy Implemented July 12, 2006 Changed the allocation order for medically urgent (Status 1A and 1B) patients Policy.
David Burdett May 11, 2004 Package Binding for WS CDL.
/4/2010 Box and Whisker Plots Objective: Learn how to read and draw box and whisker plots Starter: Order these numbers.
CALENDAR.
1 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt 10 pt 15 pt 20 pt 25 pt 5 pt BlendsDigraphsShort.
1 1  1 =.
1  1 =.
FACTORING ax2 + bx + c Think “unfoil” Work down, Show all steps.
Around the World AdditionSubtraction MultiplicationDivision AdditionSubtraction MultiplicationDivision.
1 Click here to End Presentation Software: Installation and Updates Internet Download CD release NACIS Updates.
The 5S numbers game..
Media-Monitoring Final Report April - May 2010 News.
Break Time Remaining 10:00.
Turing Machines.
Table 12.1: Cash Flows to a Cash and Carry Trading Strategy.
PP Test Review Sections 6-1 to 6-6
Weight loss and exercise. Obesity Overweight: BMI = Obesity BMI 30 Body fat > 25% for men Body fat > 30% for women Americans: Overweight:
Bright Futures Guidelines Priorities and Screening Tables
Look at This PowerPoint for help on you times tables
Bellwork Do the following problem on a ½ sheet of paper and turn in.
Exarte Bezoek aan de Mediacampus Bachelor in de grafische en digitale media April 2014.
TCCI Barometer March “Establishing a reliable tool for monitoring the financial, business and social activity in the Prefecture of Thessaloniki”
Copyright © 2013, 2009, 2006 Pearson Education, Inc. 1 Section 5.5 Dividing Polynomials Copyright © 2013, 2009, 2006 Pearson Education, Inc. 1.
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
1 RA III - Regional Training Seminar on CLIMAT&CLIMAT TEMP Reporting Buenos Aires, Argentina, 25 – 27 October 2006 Status of observing programmes in RA.
Basel-ICU-Journal Challenge18/20/ Basel-ICU-Journal Challenge8/20/2014.
1..
Adding Up In Chunks.
MaK_Full ahead loaded 1 Alarm Page Directory (F11)
Before Between After.
Subtraction: Adding UP
: 3 00.
5 minutes.
1 hi at no doifpi me be go we of at be do go hi if me no of pi we Inorder Traversal Inorder traversal. n Visit the left subtree. n Visit the node. n Visit.
Analyzing Genes and Genomes
Static Equilibrium; Elasticity and Fracture
Essential Cell Biology
Converting a Fraction to %
Resistência dos Materiais, 5ª ed.
Clock will move after 1 minute
PSSA Preparation.
& dding ubtracting ractions.
Essential Cell Biology
Nutrition Interventions in the Treatment of Obesity Dana White, MS, RD, LDN October 25, 2013.
Immunobiology: The Immune System in Health & Disease Sixth Edition
Energy Generation in Mitochondria and Chlorplasts
Select a time to count down from the clock above
Copyright Tim Morris/St Stephen's School
1.step PMIT start + initial project data input Concept Concept.
1 Dr. Scott Schaefer Least Squares Curves, Rational Representations, Splines and Continuity.
Schutzvermerk nach DIN 34 beachten 05/04/15 Seite 1 Training EPAM and CANopen Basic Solution: Password * * Level 1 Level 2 * Level 3 Password2 IP-Adr.
Presentation transcript:

Energy density of Fat and Fat-free mass Dale A Schoeller Nutritional Sciences University of Wisconsin-Madison Energy density of Fat and Fat-free mass

Energy substrates Biochemicals that can be oxidized to produce higher energy phosphate bonds Carbohydrates Lipids Proteins Minor amounts of other biochemicals

Energy density of macronutrients 4-9-4 energy rule Pro 4 kcal/g FAT 9 kcal/g CHOH 4 kcal/g Atwater factors

Dietary Energy Units Gross energy Digestible energy Energy released when combusted to CO2, H2O and N2 Digestible energy Energy absorbed Gross energy – fecal energy losses Metabolizable energy Energy available to the body Digestible energy – urinary energy losses Gross energy – (fecal + urinary losses)

Atwater factors (dietary) Gross energy kcal/g Protein 5.65 Fat 9.40 Carbohydrate 4.10 Digestible energy Protein 5.2 Fat 9.0 Carbohydrate 4.0 Metabolizable energy Protein 4 Fat 9 Carbohydrate 4

Body composition Fat mass Fat-free mass Triglyceride Water Protein Mineral Glycogen

Energy composition Triglyceride Protein Glycogen Fat mass Fat-free mass Water Protein Mineral Glycogen

Energy density of FAT MASS Animal fat gross energy 9.45 kcal/g no fecal or urinary loss energy density 9.45 kcal/g

Energy density of FAT MASS Exception Loss of ketone bodies b-hydroxybutric acid 4.96 kcal/g Acetoacetic acid 4.15 kcal/g Acetone 7.37 kcal/g Starvation (limited data) Losses 10-20 g/d (3-5% of Elipid) +100 g dietary CHOH <1 g/d

Energy density FAT-FREE MASS Glycogen = Starch Gross energy 4.12 kcal/g No urinary loss Protein Gross energy 5.65 kcal/g Urinary loss controversy Metabolizable

Urinary loss associated with protein oxidation Traditional Atwater approach Assume all urinary energy loss from incomplete protein oxidation. Atwater urine analyses 7.9 kcal/g urinary N 1.25 kcal/g protein 1 meat diet experiment 7.7 kcal/g urinary N 1.23 kcal/g De novo calculation Urinary N urea, ammonia, creatinine 90:5:5 5.8 kcal/g urinary N 0.93 kcal/g

Energy density FAT-FREE MASS Glycogen = Starch Gross energy 4.12 kcal/g No urinary loss Protein Gross energy 5.65 kcal/g Urinary loss 0.93 to 1.23 kcal/g Metabolizable 4.72 to 4.42

Energy density FAT-FREE MASS Exceptions Uncontrolled diabetes Glycosuria Up to 150 g/d Starvation N excreted mostly as ammonia Less urinary energy loss from protein oxidation Linked to ketone loss preserve acid/base balance ≈ compensates for energy lost as ketones

Composition of FAT-FREE MASS Water 73% Protein 21% Osseous mineral 5% Non-osseous mineral 0.7% Glycogen 0.7% Multiple sources because there is not a constant value

Energy density of FAT-FREE MASS Protein 0.21 * (4.65-1.2) Glycogen 0.007*4.12 FFM: 0.96 kcal/g Adjust for no bone loss FFM: 1.0 kcal/g

But do these proportions hold true for the composition of change in weight? TMM TBP + CHOH TBW FM FFM FM

Human Experimental Data Weight loss 4C body composition analysis TBW – D dilution/1.04 TMM – DXA ash*1.27 Body density by water or air displacement Minimal assumptions Total body water Total mineral mass Protein (+ CHOH) mass Fat mass

Jebb et al Intl J Obesity 31, 756, 2006 48 adult women 24-65 y BMI > 25 kg/m2 12 w wt loss + 40 follow-up

Jebb et al Intl J Obesity 31, 756, 2006

Evans et al. Am J Clin Nutr 70:5, 1999 Women n= 9 in each of three groups 21-40 y 58-132 kg 27-44 kg/m2 Tx 10wk Control -1000 kcal/d balanced diet Diet + 350 kcal/d moderate Ex

Evans et al. Am J Clin Nutr 70:5, 1999

Mahon et al. J Nutr Hlth Aging 11:203, 2007 Women, n=27 postmenopausal 59 + 8 y 77 + 10 kg 29 + 3 kg/m2 Tx 9 wk 1200 kcal/d balanced diet

Mahon et al. J Nutr Hlth Aging 11:203, 2007

Fogelholm et al. Metabolism. 46:968, 1997 Women, n-32 30-45 y 94 + 11 kg 35 + 4 kg/m2 Tx 12 wk 600 kcal/d (1100 kcal/d final body comp)

Fogelholm et al. Metabolism. 46:968, 1997

Heart failure (excess TBW) M:F 3:8 54 +10 y 38 + 5 kg/m2 Tx Myint et al, Obesity, 18:391, 2010 Otherwise healthy M:F 4:7 42 +14 y 31 + 1 kg/m2 Tx 8 wks 600 kcal/d deficit Heart failure (excess TBW) M:F 3:8 54 +10 y 38 + 5 kg/m2 Tx 6 wks 600 kcal/d deficit

Myint et al, Obesity, 18:391, 2010 Baseline Wt = 96 & 113 kg

Energy Density DFAT-FREE MASS 4.2

Other relationships 1.9 Median 0.18 Median 0.14 DFFM/DWt (DP+C)/DFFM

Why so variable? Problem of propagation of error and small changes M/Db = Mtbw/Dtbw + Mtmm/Dtmm +Mpro/Dpro + Mfm/Dfm

Why so variable? Problem of propagation of error and small changes M/Db = Mtbw/Dtbw + Mtmm/Dtmm + Mpro/Dpro + Mfm/Dfm And Mpro = M – Mtbw – Mtmm - Mfm

Why so variable? Problem of propagation of error and small changes DTBW sd = 0.4kg Pro + CHOH D 0.4kg/10 kg wt loss, sd = 0.4+kg If n = 100, then SEM = 0.04kg

4C approach cannot detect differences in energy density of DFFM without a large n, but the median is meaningful.

Conclusions Energy density of FM Energy density of FFM 9.45 kcal/kg High level of confidence Energy density of FFM 1.0 kcal/g High level of confidence in theory Modest level of confidence in practice