Corby K Martin1, Christoph Höchsmann2, James L Dorling3, Manjushri Bhapkar4, Carl F Pieper4, Susan B Racette5, Sai Krupa Das6, Leanne M Redman7, William E Kraus4, Eric Ravussin7. 1. Pennington Biomedical Research Center, Baton Rouge, LA, USA. Electronic address: Corby.Martin@pbrc.edu. 2. Pennington Biomedical Research Center, Baton Rouge, LA, USA; Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany. 3. Pennington Biomedical Research Center, Baton Rouge, LA, USA; Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life of Sciences, University of Glasgow, Glasgow, Scotland, UK. 4. Duke University School of Medicine, Durham, NC, USA. 5. Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA. 6. JM, USDA, Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA. 7. Pennington Biomedical Research Center, Baton Rouge, LA, USA.
Abstract
BACKGROUND: The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE™) phase 2 trial tested the effects of two years of 25% calorie restriction (CR) on aging in humans. CALERIE 2 was one of the first studies to use a graph of predicted weight loss to: 1) provide a proxy of dietary adherence, and 2) promote dietary adherence. Assuming 25% CR, each participant's weight over time was predicted, with upper and lower bounds around predicted weights. Thus, the resulting weight graph included a zone or range of body weights that reflected adherence to 25% CR, and this was named the zone of adherence. Participants were considered adherent if their weight was in this zone. It is unlikely, however, that the entire zone reflects 25% CR. OBJECTIVES: To determine the level of CR associated with the zone of adherence and if the level of CR achieved by participants was within the zone. METHODS: Percent CR associated with the upper and lower bounds of the zone were determined via the Body Weight Planner (https://www.niddk.nih.gov/bwp) for participants in the CALERIE 2 CR group (N = 143). Percent CR achieved by participants was estimated with the intake-balance method. RESULTS: At month 24, the zone of adherence ranged from 10.4(0.0)% to 19.4(0.0)% CR [Mean(SEM)], and participants achieved 11.9(0.7)% CR and were in the zone. CONCLUSION: The results highlight the challenges of: 1) setting a single CR goal vs. a range of acceptable values, and 2) obtaining real-time and valid measures of CR adherence to facilitate adherence.
BACKGROUND: The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE™) phase 2 trial tested the effects of two years of 25% calorie restriction (CR) on aging in humans. CALERIE 2 was one of the first studies to use a graph of predicted weight loss to: 1) provide a proxy of dietary adherence, and 2) promote dietary adherence. Assuming 25% CR, each participant's weight over time was predicted, with upper and lower bounds around predicted weights. Thus, the resulting weight graph included a zone or range of body weights that reflected adherence to 25% CR, and this was named the zone of adherence. Participants were considered adherent if their weight was in this zone. It is unlikely, however, that the entire zone reflects 25% CR. OBJECTIVES: To determine the level of CR associated with the zone of adherence and if the level of CR achieved by participants was within the zone. METHODS: Percent CR associated with the upper and lower bounds of the zone were determined via the Body Weight Planner (https://www.niddk.nih.gov/bwp) for participants in the CALERIE 2 CR group (N = 143). Percent CR achieved by participants was estimated with the intake-balance method. RESULTS: At month 24, the zone of adherence ranged from 10.4(0.0)% to 19.4(0.0)% CR [Mean(SEM)], and participants achieved 11.9(0.7)% CR and were in the zone. CONCLUSION: The results highlight the challenges of: 1) setting a single CR goal vs. a range of acceptable values, and 2) obtaining real-time and valid measures of CR adherence to facilitate adherence.
Authors: James Rochon; Connie W Bales; Eric Ravussin; Leanne M Redman; John O Holloszy; Susan B Racette; Susan B Roberts; Sai Krupa Das; Sergei Romashkan; Katherine M Galan; Evan C Hadley; William E Kraus Journal: J Gerontol A Biol Sci Med Sci Date: 2010-10-05 Impact factor: 6.053
Authors: Eric Ravussin; Leanne M Redman; James Rochon; Sai Krupa Das; Luigi Fontana; William E Kraus; Sergei Romashkan; Donald A Williamson; Simin N Meydani; Dennis T Villareal; Steven R Smith; Richard I Stein; Tammy M Scott; Tiffany M Stewart; Edward Saltzman; Samuel Klein; Manju Bhapkar; Corby K Martin; Cheryl H Gilhooly; John O Holloszy; Evan C Hadley; Susan B Roberts Journal: J Gerontol A Biol Sci Med Sci Date: 2015-07-17 Impact factor: 6.053
Authors: Diana M Thomas; Corby K Martin; Steven Heymsfield; Leanne M Redman; Dale A Schoeller; James A Levine Journal: J Biol Dyn Date: 2011-11 Impact factor: 2.179
Authors: Susan B Racette; James Rochon; Mary L Uhrich; Dennis T Villareal; Sai Krupa DAS; Luigi Fontana; Manjushri Bhapkar; Corby K Martin; Leanne M Redman; Paul J Fuss; Susan B Roberts; William E Kraus Journal: Med Sci Sports Exerc Date: 2017-11 Impact factor: 5.411
Authors: Sergei V Romashkan; Sai Krupa Das; Dennis T Villareal; Eric Ravussin; Leanne M Redman; James Rochon; Manjushri Bhapkar; William E Kraus Journal: Oncotarget Date: 2016-04-12
Authors: Leanne M Redman; L Anne Gilmore; Jeffrey Breaux; Diana M Thomas; Karen Elkind-Hirsch; Tiffany Stewart; Daniel S Hsia; Jeffrey Burton; John W Apolzan; Loren E Cain; Abby D Altazan; Shelly Ragusa; Heather Brady; Allison Davis; J Mick Tilford; Elizabeth F Sutton; Corby K Martin Journal: JMIR Mhealth Uhealth Date: 2017-09-13 Impact factor: 4.773