R P Shook1, G A Hand2, A E Paluch3, X Wang3, R Moran4, J R Hébert4,5,6, J M Jakicic7, S N Blair3,4. 1. Department of Kinesiology, Iowa State University, Ames, IA, USA. 2. School of Public Health, University of West Virginia, Morgantown, WV, USA. 3. Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. 4. Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. 5. Department of Family and Preventive Medicine, University of South Carolina, Columbia, SC, USA. 6. South Carolina Statewide Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. 7. Department of Health and Physical Activity, Physical Activity and Weight Management Research Center, University of Pittsburgh, Pittsburgh, PA, USA.
Abstract
BACKGROUND/ OBJECTIVES: Metabolic disturbances, such as reduced rates of fat oxidation (high respiratory quotient (RQ)) or low energy expenditure (low resting metabolic rate (RMR)), may contribute to obesity. The objective was to determine the association between a high RQ or a low RMR and changes in body weight and body composition over 1 year. SUBJECTS/ METHODS: We measured RQ and RMR in 341 adults using indirect calorimetry, along with body weight/body composition using dual-energy X-ray absorptiometery, energy expenditure using an arm-based activity monitor and energy intake using dietary recalls. Participants were classified into low, moderate or high RQ and RMR (adjusted for age, sex, race and body composition) groups according to tertiles by sex. Follow-up measurements were completed every 3 months. RESULTS: Individuals with a high RQ had larger gains in body weight and fat mass compared with individuals with a low/moderate RQ at month 3, and increases in fat mass were more than double among individuals with a high RQ at 12 months (1.3±3.0 vs 0.6±3.7 kg, P=0.03). Individuals with a low RMR did not gain more body weight nor fat mass compared with individuals with a moderate/high RMR. CONCLUSION: The primary finding is a high RQ is predictive of gains in body weight and fat mass over a 12-month period among young adults, with changes occurring as soon as 3 months. In addition, a low RMR was not associated with gains in body weight or fat mass over the same period.
RCT Entities:
BACKGROUND/ OBJECTIVES: Metabolic disturbances, such as reduced rates of fat oxidation (high respiratory quotient (RQ)) or low energy expenditure (low resting metabolic rate (RMR)), may contribute to obesity. The objective was to determine the association between a high RQ or a low RMR and changes in body weight and body composition over 1 year. SUBJECTS/ METHODS: We measured RQ and RMR in 341 adults using indirect calorimetry, along with body weight/body composition using dual-energy X-ray absorptiometery, energy expenditure using an arm-based activity monitor and energy intake using dietary recalls. Participants were classified into low, moderate or high RQ and RMR (adjusted for age, sex, race and body composition) groups according to tertiles by sex. Follow-up measurements were completed every 3 months. RESULTS: Individuals with a high RQ had larger gains in body weight and fat mass compared with individuals with a low/moderate RQ at month 3, and increases in fat mass were more than double among individuals with a high RQ at 12 months (1.3±3.0 vs 0.6±3.7 kg, P=0.03). Individuals with a low RMR did not gain more body weight nor fat mass compared with individuals with a moderate/high RMR. CONCLUSION: The primary finding is a high RQ is predictive of gains in body weight and fat mass over a 12-month period among young adults, with changes occurring as soon as 3 months. In addition, a low RMR was not associated with gains in body weight or fat mass over the same period.
Authors: Barbara Ukropcova; Michele McNeil; Olga Sereda; Lilian de Jonge; Hui Xie; George A Bray; Steven R Smith Journal: J Clin Invest Date: 2005-07 Impact factor: 14.808
Authors: Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell Journal: Med Sci Sports Exerc Date: 2008-01 Impact factor: 5.411
Authors: David A White; Vincent S Staggs; Veronica Williams; Trent C Edwards; Robin Shook; Valentina Shakhnovich Journal: Child Obes Date: 2019-03-19 Impact factor: 2.992
Authors: Leilah K Grant; Jamie E Coborn; Aviva Cohn; Margo D Nathan; Frank A J L Scheer; Elizabeth B Klerman; Ursula B Kaiser; Jessica Harder; Mathena Abramson; Elkhansaa Elguenaoui; Julia A Russell; Aleta Wiley; Shadab A Rahman; Hadine Joffe Journal: J Clin Endocrinol Metab Date: 2022-07-14 Impact factor: 6.134
Authors: Kelly C Allison; Christina M Hopkins; Madelyn Ruggieri; Andrea M Spaeth; Rexford S Ahima; Zhe Zhang; Deanne M Taylor; Namni Goel Journal: Curr Biol Date: 2020-11-30 Impact factor: 10.834
Authors: Gareth Fletcher; Frank F Eves; Elisa I Glover; Scott L Robinson; Carlijn A Vernooij; Janice L Thompson; Gareth A Wallis Journal: Am J Clin Nutr Date: 2017-03-01 Impact factor: 7.045
Authors: Alexandra Camara; Adronie Verbrugghe; Cara Cargo-Froom; Kylie Hogan; Trevor J DeVries; Andrea Sanchez; Lindsay E Robinson; Anna K Shoveller Journal: PLoS One Date: 2020-09-18 Impact factor: 3.240