Accuracy of total energy expenditure predictive equations after a massive weight loss induced by bariatric surgery

2018 ◽  
Vol 26 ◽  
pp. 57-65 ◽  
Author(s):  
Michele Novaes Ravelli ◽  
Dale A. Schoeller ◽  
Alex Harley Crisp ◽  
Natalie M. Racine ◽  
Karina Pfrimer ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Weight Loss ◽  
Energy Expenditure ◽  
Total Energy ◽  
Massive Weight Loss ◽  
Total Energy Expenditure ◽  
Predictive Equations

scholarly journals Effects of a low carbohydrate diet on energy expenditure during weight loss maintenance: randomized trial

BMJ ◽  
2018 ◽  
pp. k4583 ◽  
Author(s):  
Cara B Ebbeling ◽  
Henry A Feldman ◽  
Gloria L Klein ◽  
Julia M W Wong ◽  
Lisa Bielak ◽  
...  
Keyword(s):  
Weight Loss ◽  
Energy Expenditure ◽  
Total Energy ◽  
Total Energy Expenditure ◽  
Carbohydrate Diet ◽  
Intention To Treat ◽  
Low Carbohydrate Diet ◽  
High Carbohydrate ◽  
Low Carbohydrate ◽  
Treat Analysis

AbstractObjectiveTo determine the effects of diets varying in carbohydrate to fat ratio on total energy expenditure.DesignRandomized trial.SettingMulticenter collaboration at US two sites, August 2014 to May 2017.Participants164 adults aged 18-65 years with a body mass index of 25 or more.InterventionsAfter 12% (within 2%) weight loss on a run-in diet, participants were randomly assigned to one of three test diets according to carbohydrate content (high, 60%, n=54; moderate, 40%, n=53; or low, 20%, n=57) for 20 weeks. Test diets were controlled for protein and were energy adjusted to maintain weight loss within 2 kg. To test for effect modification predicted by the carbohydrate-insulin model, the sample was divided into thirds of pre-weight loss insulin secretion (insulin concentration 30 minutes after oral glucose).Main outcome measuresThe primary outcome was total energy expenditure, measured with doubly labeled water, by intention-to-treat analysis. Per protocol analysis included participants who maintained target weight loss, potentially providing a more precise effect estimate. Secondary outcomes were resting energy expenditure, measures of physical activity, and levels of the metabolic hormones leptin and ghrelin.ResultsTotal energy expenditure differed by diet in the intention-to-treat analysis (n=162, P=0.002), with a linear trend of 52 kcal/d (95% confidence interval 23 to 82) for every 10% decrease in the contribution of carbohydrate to total energy intake (1 kcal=4.18 kJ=0.00418 MJ). Change in total energy expenditure was 91 kcal/d (95% confidence interval −29 to 210) greater in participants assigned to the moderate carbohydrate diet and 209 kcal/d (91 to 326) greater in those assigned to the low carbohydrate diet compared with the high carbohydrate diet. In the per protocol analysis (n=120, P<0.001), the respective differences were 131 kcal/d (−6 to 267) and 278 kcal/d (144 to 411). Among participants in the highest third of pre-weight loss insulin secretion, the difference between the low and high carbohydrate diet was 308 kcal/d in the intention-to-treat analysis and 478 kcal/d in the per protocol analysis (P<0.004). Ghrelin was significantly lower in participants assigned to the low carbohydrate diet compared with those assigned to the high carbohydrate diet (both analyses). Leptin was also significantly lower in participants assigned to the low carbohydrate diet (per protocol).ConclusionsConsistent with the carbohydrate-insulin model, lowering dietary carbohydrate increased energy expenditure during weight loss maintenance. This metabolic effect may improve the success of obesity treatment, especially among those with high insulin secretion.Trial registrationClinicalTrials.govNCT02068885.

scholarly journals Imposed rate and extent of weight loss in obese men and adaptive changes in resting and total energy expenditure

Metabolism ◽  
2015 ◽  
Vol 64 (8) ◽  
pp. 896-904 ◽  
Author(s):  
Mario Siervo ◽  
Peter Faber ◽  
Jose Lara ◽  
Eileen R. Gibney ◽  
Eric Milne ◽  
...  
Keyword(s):  
Weight Loss ◽  
Energy Expenditure ◽  
Total Energy ◽  
Total Energy Expenditure ◽  
Adaptive Changes

scholarly journals Total energy expenditure measured using doubly labeled water compared with estimated energy requirements in older adults (≥65 y): analysis of primary data

2019 ◽  
Vol 110 (6) ◽  
pp. 1353-1361 ◽  
Author(s):  
Judi Porter ◽  
Kay Nguo ◽  
Jorja Collins ◽  
Nicole Kellow ◽  
Catherine E Huggins ◽  
...  
Keyword(s):  
Older Adults ◽  
Energy Expenditure ◽  
Total Energy ◽  
Reference Method ◽  
Total Energy Expenditure ◽  
Activity Level ◽  
Energy Requirements ◽  
Primary Data ◽  
Doubly Labeled Water ◽  
Predictive Equations

ABSTRACT Background Contemporary energy expenditure data are crucial to inform and guide nutrition policy in older adults to optimize nutrition and health. Objective The aim was to determine the optimal method of estimating total energy expenditure (TEE) in adults (aged ≥65 y) through 1) establishing which published predictive equations have the closest agreement between measured resting metabolic rate (RMR) and predicted RMR and 2) utilizing the RMR equations with the best agreement to predict TEE against the reference method of doubly labeled water (DLW). Methods A database consisting of international participant-level TEE data from DLW studies was developed to enable comparison with energy requirements estimated by 17 commonly used predictive equations. This database included 31 studies comprising 988 participant-level RMR data and 1488 participant-level TEE data. Mean physical activity level (PAL) was determined for men (PAL = 1.69, n = 320) and women (PAL = 1.66, n = 668). Bland–Altman plots assessed agreement of measured RMR and TEE with predicted RMR and TEE in adults aged ≥65 y, and subgroups of 65–79 y and ≥80 y. Linear regression assessed proportional bias. Results The Ikeda, Livingston, and Mifflin equations most closely agreed with measured RMR and TEE in all adults aged ≥65 y and in the 65–79 y and ≥80 y subgroups. In adults aged ≥65 y, the Ikeda and Livingston equations overestimated TEE by a mean ± SD of 175 ± 1362 kJ/d and 86 ± 1344 kJ/d, respectively. The Mifflin equation underestimated TEE by a mean ± SD of 24 ± 1401 kJ/d. Proportional bias was present as energy expenditure increased. Conclusions The Ikeda, Livingston, or Mifflin equations are recommended for estimating energy requirements of older adults. Future research should focus on developing predictive equations to meet the requirements of the older population with consideration given to body composition and functional measures.

scholarly journals Agreement between the total energy expenditure calculated with accelerometry data and the BMR yielded by predictive equations v. the total energy expenditure obtained with doubly labelled water in low-income women with excess weight

2019 ◽  
Vol 122 (12) ◽  
pp. 1398-1408 ◽  
Author(s):  
Mateus L. Macena ◽  
Isabele R. O. M. Pureza ◽  
Ingrid S. V. Melo ◽  
Ana G. Clemente ◽  
Haroldo S. Ferreira ◽  
...  
Keyword(s):  
Energy Expenditure ◽  
Total Energy ◽  
Low Income ◽  
Total Energy Expenditure ◽  
Excess Weight ◽  
Doubly Labelled Water ◽  
Predictive Equations ◽  
Technical Report Series ◽  
Technical Report ◽  
Food And Nutrition

AbstractLow-income women are the group with the highest levels of obesity worldwide. In low-income settings, the use of predictive equations, which yield a measure of the individuals’ BMR, is a feasible approach to estimate the individuals’ total energy expenditure (TEE), using the factorial method (calculated-TEE = BMR × physical activity level), an important step of the obesity nutritional care. The present study aimed to identify the predictive equation that, in conjunction with metabolic equivalents of tasks (MET) data from accelerometers, yields the calculated-TEE with better agreement compared with the TEE measured by doubly labelled water (TEE-DLW). Forty-five women aged 19–45 years, with excess weight and mothers of undernourished children, were included. They received DLW to determine TEE (14 d); at the same time, they used triaxial accelerometers (7 d) to estimate their MET. The Bland–Altman method, paired-sample t tests, concordance correlation coefficient and root-mean-square error were used to assess the agreement. Maximum allowed differences were defined as 24 %, based on the within-variance coefficient of the energy intake of the sample. Eleven equations were studied. The calculated-TEE obtained by five equations showed non-significant bias: Dietary Reference Intake (Institute of Medicine (2005) Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids), FAO/WHO/UNU ((2001) Food and Nutrition Technical Report Series), Harris & Benedict ((1919) Proc Natl Acad Sci USA4, 370–373), Henry & Rees ((1991) Eur J Clin Nutr45, 177–185) and Schofield ((1985) Hum Nutr Clin Nutr39, 5–41). The mean percentage differences were –1·5, –0·8, 2·2, –2·2 and 2·0 %, respectively. Considering all parameters, FAO/WHO/UNU ((2001) Food and Nutrition Technical Report Series) equation performed slightly better than the others; nevertheless, no equation in conjunction with the estimated-MET showed a calculated-TEE with its CI for the Bland–Altman limits of agreement inside the pre-defined acceptable range.

scholarly journals 2536

2017 ◽  
Vol 1 (S1) ◽  
pp. 11-11
Author(s):  
David M. Presby ◽  
Rebecca M. Foright ◽  
Julie A. Houck ◽  
Ginger C. Johnson ◽  
L. Allyson Checkley ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Weight Loss ◽  
Energy Expenditure ◽  
Metabolic Rate ◽  
Total Energy ◽  
Weight Regain ◽  
Resting Metabolic Rate ◽  
Weight Loss Maintenance ◽  
Oxidative Capacity ◽  
Total Energy Expenditure

OBJECTIVES/SPECIFIC AIMS: Obesity is a rapidly growing epidemic and long-term interventions aimed to reduce body weight are largely unsuccessful due to an increased drive to eat and a reduced metabolic rate established during weight loss. Previously, our lab demonstrated that exercise has beneficial effects on weight loss maintenance by increasing total energy expenditure above and beyond the cost of an exercise bout and reducing the drive to eat when allowed to eat ad libitum (relapse). We hypothesized that exercise’s ability to counter these obesogenic-impetuses are mediated via improvements in skeletal muscle oxidative capacity, and tested this using a mouse model with augmented oxidative capacity in skeletal muscle. METHODS/STUDY POPULATION: We recapitulated the exercise-induced improvements in oxidative capacity using FVB mice that overexpress lipoprotein lipase in skeletal muscle (mLPL). mLPL and wild type (WT) mice were put through a weight-loss-weight-regain paradigm consisting of a high fat diet challenge for 13 weeks, with a subsequent 1-week calorie-restricted medium fat diet to induce a ~15% weight loss. This newly established weight was maintained for 2 weeks and followed with a 24-hour relapse. Metabolic phenotype was characterized by indirect calorimetry during each phase. At the conclusion of the relapse day, mice were sacrificed and tissues were harvested for molecular analysis. RESULTS/ANTICIPATED RESULTS: During weight loss maintenance, mLPL mice had a higher metabolic rate (p=0.0256) that was predominantly evident in the dark cycle (p=0.0015). Furthermore, this increased metabolic rate was not due to differences in activity (p=0.2877) or resting metabolic rate (p=0.4881). During relapse, mLPL mice ingested less calories and were protected from rapid weight regain (p=0.0235), despite WT mice exhibiting higher metabolic rates during the light cycle (p=0.0421). DISCUSSION/SIGNIFICANCE OF IMPACT: These results highlight the importance of muscular oxidative capacity in preventing a depression in total energy expenditure during weight loss maintenance, and in curbing overfeeding and weight regain during a relapse. Moreover, our data suggest that the thermic effect of food is responsible for the differences in metabolic rate, because no differences were found in activity or resting metabolic rate. Additional studies are warranted to determine the molecular mechanisms driving the ability of oxidative capacity to assist with weight loss maintenance.

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