Catia Martins1,2,3, Barbara A Gower3, Gary R Hunter3. 1. Obesity Research Group, Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. 2. Centre for Obesity and Innovation (ObeCe), Clinic of Surgery, St. Olav University Hospital, Trondheim, Norway. 3. Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Abstract
OBJECTIVE: The aim of this study was to investigate whether baseline (pre-weight loss) metabolic variables can predict weight regain. METHODS: About 117 women with overweight completed a weight loss program to achieve BMI < 25 kg/m2 and were followed for 2 years. Resting metabolic rate, respiratory quotient, insulin sensitivity, and serum leptin concentration were measured pre-weight loss, while on energy balance, and as predictors of weight regain at 1 and 2 years. Rate and amount of weight loss also were examined as predictors, as these outcomes may reflect metabolic phenotype. RESULTS: Average weight loss was 12 (SD 2.5) kg, and regain was 48% (SD 35%) and 80% (SD 52%) at 1 and 2 years, respectively. In regression modeling, metabolic variables (both pre-weight loss and changes with weight loss) did not predict weight regain. However, initial weight loss and time to achieve BMI < 25 were significant predictors of weight regain at 1 and 2 years, even after adjusting for confounders. CONCLUSIONS: Baseline (pre-weight loss) resting metabolic rate, respiratory quotient, insulin sensitivity, and leptin did not predict weight regain. However, a larger and faster weight loss was associated with a lower weight regain. Understanding the mechanisms behind interindividual variation in magnitude and rate of weight loss is needed to ensure better weight loss maintenance.
OBJECTIVE: The aim of this study was to investigate whether baseline (pre-weight loss) metabolic variables can predict weight regain. METHODS: About 117 women with overweight completed a weight loss program to achieve BMI < 25 kg/m2 and were followed for 2 years. Resting metabolic rate, respiratory quotient, insulin sensitivity, and serum leptin concentration were measured pre-weight loss, while on energy balance, and as predictors of weight regain at 1 and 2 years. Rate and amount of weight loss also were examined as predictors, as these outcomes may reflect metabolic phenotype. RESULTS: Average weight loss was 12 (SD 2.5) kg, and regain was 48% (SD 35%) and 80% (SD 52%) at 1 and 2 years, respectively. In regression modeling, metabolic variables (both pre-weight loss and changes with weight loss) did not predict weight regain. However, initial weight loss and time to achieve BMI < 25 were significant predictors of weight regain at 1 and 2 years, even after adjusting for confounders. CONCLUSIONS: Baseline (pre-weight loss) resting metabolic rate, respiratory quotient, insulin sensitivity, and leptin did not predict weight regain. However, a larger and faster weight loss was associated with a lower weight regain. Understanding the mechanisms behind interindividual variation in magnitude and rate of weight loss is needed to ensure better weight loss maintenance.
Authors: E Ravussin; S Lillioja; W C Knowler; L Christin; D Freymond; W G Abbott; V Boyce; B V Howard; C Bogardus Journal: N Engl J Med Date: 1988-02-25 Impact factor: 91.245
Authors: Mads F Hjorth; Christian Ritz; Ellen E Blaak; Wim Hm Saris; Dominique Langin; Sanne Kellebjerg Poulsen; Thomas Meinert Larsen; Thorkild Ia Sørensen; Yishai Zohar; Arne Astrup Journal: Am J Clin Nutr Date: 2017-07-05 Impact factor: 7.045