Body composition and energy expenditure predict ad-libitum food and macronutrient intake in humans.

C M Weise, M G Hohenadel, J Krakoff, S B Votruba
Author Information
  1. C M Weise: Klinik und Poliklinik für Neurologie, Universität Leipzig, Leipzig, Germany.
  2. M G Hohenadel: Obesity and Diabetes Clinical Research Section, NIDDK-NIH, DHHS, Phoenix, AZ, USA.
  3. J Krakoff: Obesity and Diabetes Clinical Research Section, NIDDK-NIH, DHHS, Phoenix, AZ, USA.
  4. S B Votruba: Obesity and Diabetes Clinical Research Section, NIDDK-NIH, DHHS, Phoenix, AZ, USA.

Abstract

BACKGROUND: Obesity is the result of chronic positive energy balance. The mechanisms underlying the regulation of energy homeostasis and food intake are not understood. Despite large increases in fat mass (FM), recent evidence indicates that fat-free mass (FFM) rather than FM is positively associated with intake in humans.
METHODS: In 184 humans (73 females/111 males; age 34.5±8.8 years; percentage body fat: 31.6±8.1%), we investigated the relationship of FFM index (FFMI, kg m(-2)), FM index (FMI, kg m(-2)); and 24-h energy expenditure (EE, n=127) with ad-libitum food intake using a 3-day vending machine paradigm. Mean daily calories (CAL) and macronutrient intake (PRO, CHO, FAT) were determined and used to calculate the relative caloric contribution of each (%PRO, %CHO, %FAT) and percent of caloric intake over weight maintaining energy needs (%WMENs).
RESULTS: FFMI was positively associated with CAL (P<0.0001), PRO (P=0.0001), CHO (P=0.0075) and FAT (P<0.0001). This remained significant after adjusting for FMI. Total EE predicted CAL and macronutrient intake (all P<0.0001). FMI was positively associated with CAL (P=0.019), PRO (P=0.025) and FAT (P=0.0008). In models with both FFMI and FMI, FMI was negatively associated with CAL (P=0.019) and PRO (P=0.033). Both FFMI and FMI were negatively associated with %CHO and positively associated with %FAT (all P<0.001). EE and FFMI (adjusted for FMI) were positively (EE P=0.0085; FFMI P=0.0018) and FMI negatively (P=0.0018; adjusted for FFMI) associated with %WMEN.
CONCLUSION: Food and macronutrient intake are predicted by FFMI and to a lesser degree by FMI. FFM and FM may have opposing effects on energy homeostasis.

References

  1. J Clin Invest. 2011 Jun;121(6):2087-93 [PMID: 21633176]
  2. JAMA. 2002 Oct 9;288(14):1723-7 [PMID: 12365955]
  3. Neuroimage. 2013 Jan 1;64:712-21 [PMID: 22974975]
  4. Int J Obes Relat Metab Disord. 2002 Jul;26(7):973-7 [PMID: 12080452]
  5. Am J Clin Nutr. 2009 Mar;89(3):801-6 [PMID: 19158212]
  6. J Clin Invest. 1986 Dec;78(6):1568-78 [PMID: 3782471]
  7. NCHS Data Brief. 2012 Jan;(82):1-8 [PMID: 22617494]
  8. J Neuroendocrinol. 2008 Jun;20(6):842-9 [PMID: 18601708]
  9. J Clin Invest. 2003 May;111(9):1409-21 [PMID: 12727933]
  10. JAMA. 2010 Jan 20;303(3):235-41 [PMID: 20071471]
  11. PLoS Biol. 2010 Aug 24;8(8): [PMID: 20808781]
  12. Neurology. 2006 Dec 12;67(11):1955-9 [PMID: 17159100]
  13. Am J Clin Nutr. 2013 Jan;97(1):7-14 [PMID: 23193010]
  14. Diabetes. 1996 May;45(5):695-8 [PMID: 8621026]
  15. Am J Clin Nutr. 1991 Jun;53(6):1368-71 [PMID: 2035463]
  16. Nat Rev Endocrinol. 2012 Apr 03;8(8):457-65 [PMID: 22473333]
  17. JAMA. 1999 Oct 27;282(16):1568-75 [PMID: 10546697]
  18. Arch Intern Med. 2003 Jul 14;163(13):1524-8 [PMID: 12860573]
  19. Nature. 1996 Jul 18;382(6588):250-2 [PMID: 8717038]
  20. Br J Nutr. 2012 Feb;107(3):445-9 [PMID: 21733267]
  21. J Nutr. 1998 Dec;128(12 Suppl):2563S-2576S [PMID: 9868206]
  22. J Clin Endocrinol Metab. 1999 Feb;84(2):711-7 [PMID: 10022442]
  23. Obesity (Silver Spring). 2013 Jan;21(1):164-9 [PMID: 23505182]
  24. Health Aff (Millwood). 2009 Sep-Oct;28(5):w822-31 [PMID: 19635784]
  25. Am J Clin Nutr. 1982 Mar;35(3):566-73 [PMID: 6801963]
  26. Am J Clin Nutr. 2010 Feb;91(2):343-8 [PMID: 19923376]
  27. Annu Rev Psychol. 2008;59:55-92 [PMID: 18154499]
  28. Am J Clin Nutr. 1990 Dec;52(6):953-9 [PMID: 2239792]
  29. Int J Behav Nutr Phys Act. 2006 Nov 26;3:42 [PMID: 17125525]

Grants

  1. Z99 DK999999/Intramural NIH HHS

MeSH Term

Adipose Tissue
Adult
Body Composition
Body Mass Index
Body Weight
Dietary Fats
Dietary Fiber
Dietary Proteins
Energy Intake
Energy Metabolism
Female
Glucose Tolerance Test
Homeostasis
Humans
Male
Predictive Value of Tests

Chemicals

Dietary Fats
Dietary Fiber
Dietary Proteins

Word Cloud

Created with Highcharts 10.0.0P=0FMIintakeFFMIassociatedenergypositivelyCALFMEEmacronutrientPROP<00001foodFFMhumansFATnegativelyhomeostasismassindexkg m-2expendituread-libitumCHOcaloric%CHO%FATpredicted019adjusted0018BACKGROUND:ObesityresultchronicpositivebalancemechanismsunderlyingregulationunderstoodDespitelargeincreasesfatrecentevidenceindicatesfat-freeratherMETHODS:18473females/111malesage345±88yearspercentagebodyfat:316±81%investigatedrelationship24-hn=127using3-dayvendingmachineparadigmMeandailycaloriesdeterminedusedcalculaterelativecontribution%PROpercentweightmaintainingneeds%WMENsRESULTS:0075remainedsignificantadjustingTotal0250008models0330010085%WMENCONCLUSION:FoodlesserdegreemayopposingeffectsBodycompositionpredict

Similar Articles

Cited By