A systematic review and quantitative analysis of resting energy expenditure prediction equations in healthy overweight and obese children and adolescents.

BACKGROUND: Resting energy expenditure (REE) estimates are often needed in young people and can be predicted using prediction equations based on body weight. However, these equations may perform poorly in those who are obese and overweight. The aim of this systematic review was to identify equations based on simple anthropometric and demographic variables that provide the most accurate and precise estimates of REE in healthy obese and overweight young people. METHODS: Systematic searches for relevant studies in healthy obese and overweight young people aged ≤18 years were undertaken using PubMed, Scopus, Cinahl, OpenGrey and Cochrane Library (completed January 2018). Search terms included metabolism, calorimetry, obesity and prediction equation. Data extraction, study appraisal and synthesis followed PRISMA guidelines. RESULTS: From 390 screened titles, 13 studies met inclusion criteria. The most accurate REE predictions (least biased) were provided by Schofield equations [+0.8% (3-18 years); 0% (11-18 years); +1.1% (3-10 years)]. The most precise REE estimations (percentage of predictions ± 10% of measured) for 11-18 years were provided by Mifflin equations (62%) and, for 7-18 years, by the equations of Schmelzle (57%), Henry (56%) and Harris Benedict (54%). Precision of Schofield predictions was 43% in both age groups. No accuracy data were available for those <3 years or for precision for those <7 years. CONCLUSIONS: No single equation provided accurate and precise REE estimations in this population. Schofield equations provided the most accurate REE predictions so are useful for groups. Mifflin equations provided the most precise estimates for individuals aged 11-18 years but tended to underestimate REE.

Estimation of energy expenditure using prediction equations in overweight and obese adults: a systematic review.

BACKGROUND: Estimates of energy requirements are needed in weight management and are usually determined using prediction equations. The objective of these two systematic reviews was to identify which equations based on simple anthropometric and demographic variables provide the most accurate and precise estimates of (1) resting energy expenditure (REE) and (2) total energy expenditure (TEE) in healthy obese adults. METHODS: Systematic searches for relevant studies in healthy adults with body mass index (BMI) ≥25 kg m(-2) and published in English were undertaken using Cinahl, Cochrane Library, OpenGrey, PubMed and Web of Science (completed March 2014). Search terms included metabolism, calorimetry, obesity and prediction equations. Data extraction, study appraisal and synthesis followed guidelines from PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses). RESULTS: From 243 REE papers and 254 TEE papers identified, 21 and four studies, respectively, met the inclusion criteria. (1) The most accurate REE predictions varied with BMI subgroup: WHO (weight and height) ≥25 and ≥30 kg m(-2) ; Mifflin 30-39.9 kg m(-2) ; Henry ≥40 kg m(-2) . The most precise REE predictions were obtained using Mifflin in BMI 30-39.9 and ≥40 kg m(-2) , where approximately 75% of predictions were within 10% of measured REE. (2) No accurate or precise predictions of TEE were identified. CONCLUSIONS: No single prediction equation provides accurate and precise REE estimates in all obese adults. Mifflin equations are recommended in this population, although errors exceed 10% in 25% of those assessed. There is no evidence to support the use of prediction equations in estimating TEE in obesity.

Influence of butter and of corn, coconut and fish oils on the effects of recombinant human tumour necrosis factor-alpha in rats.

1. Tumour necrosis factor-alpha is produced in response to inflammatory stimuli. Fish oil can suppress the production and actions of cytokines. Little information is available on the effects of other fats on cytokine biology. We compared the effects of fats, with a wide range of fatty acid characteristics, on the effects of tumour necrosis factor-alpha on protein and zinc metabolism in rats. 2. Weanling rats were fed for 8 weeks on diets containing 10% fat in the form of corn, fish or coconut oils or butter before an intraperitoneal injection of recombinant human tumour necrosis factor-alpha was given. Measurements were made 24h after the injection. 3. In rats fed corn oil, food intake was reduced by 62% and rates of protein synthesis were increased by 86, 32 and 39% in the liver, lung and kidney, respectively. Zinc concentrations increased by 23% in the liver but decreased by 10% in the kidney. Plasma caeruloplasmin and complement C3 levels increased by 25% and 28%, respectively, and plasma albumin level decreased by 24%. 4. Fish oil prevented the increase in hepatic protein synthesis and changed the response of protein synthesis in lung and kidney to a decrease. Changes in hepatic and renal zinc concentrations were prevented. The response of the plasma caeruloplasmin level was unaltered but those of the plasma complement C3 and albumin concentrations were prevented. 5. Coconut oil and butter, although similarly low in linoleic acid, differed in their modulatory effects. With the exception of the rise in the plasma complement C3 concentration, all responses were prevented or greatly inhibited in rats fed butter.(ABSTRACT TRUNCATED AT 250 WORDS)