Predicting Energy Expenditure in Extremely Obese Women

Dobratz, Jennifer R.; Sibley, Shalamar D.; Beckman, Tiffany R.; Valentine, Bret J.; Kellogg, Todd A.; Ikramuddin, Sayeed; Earthman, Carrie P.

doi:10.1177/0148607107031003217

Cited by 38 publications

(33 citation statements)

References 35 publications

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“…Data collection predates current level of obesity 57 for Harris-Benedict using actual weight. In addition, significant bias 55 and prediction errors 54,57 were measured that could result in undesired weight changes when applied to specific patients.…”

Section: Accuracymentioning

confidence: 99%

“…In addition, significant bias 55 and prediction errors 54,57 were measured that could result in undesired weight changes when applied to specific patients. The error for MSJ, however, was lower than that demonstrated with Harris-Benedict using actual weight.…”

Section: Accuracymentioning

confidence: 99%

“…The error for MSJ, however, was lower than that demonstrated with Harris-Benedict using actual weight. 56,57 The MSJ 58 equations are as follows: Clinical outcomes are at least equivalent in patients supported with high protein hypocaloric feeding to those supported with high protein eucaloric feeding. A trial of hypocaloric high protein feeding is suggested in patients who do not have severe renal or hepatic dysfunction (weak).…”

Section: Accuracymentioning

confidence: 99%

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A.S.P.E.N. Clinical Guidelines

Choban

Dickerson

Malone

et al. 2013

J Parenter Enteral Nutr

136

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Background: Due to the high prevalence of obesity in adults, nutrition support clinicians are encountering greater numbers of obese patients who require nutrition support during hospitalization. The purpose of this clinical guideline is to serve as a framework for the nutrition support care of adult patients with obesity. Method: A systematic review of the best available evidence to answer a series of questions regarding management of nutrition support in patients with obesity was undertaken and evaluated using concepts adopted from the Grading of Recommendations, Assessment, Development and Evaluation working group. A consensus process, that includes consideration of the strength of the evidence together with the risks and benefits to the patient, was used to develop the clinical guideline recommendations prior to multiple levels of external and internal review and approval by the A.S.P.E.N. Board of Directors. Questions: (1) Do clinical outcomes vary across levels of obesity in critically ill or hospitalized non−intensive care unit (ICU) patients? (2) How should energy requirements be determined in obese critically ill or hospitalized non‐ICU patients? (3) Are clinical outcomes improved with hypocaloric, high protein diets in hospitalized patients? (4) In obese patients who have had a malabsorptive or restrictive surgical procedure, what micronutrients should be evaluated?

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Section: Accuracymentioning

confidence: 99%

Section: Accuracymentioning

confidence: 99%

Section: Accuracymentioning

confidence: 99%

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A.S.P.E.N. Clinical Guidelines

Choban

Dickerson

Malone

et al. 2013

J Parenter Enteral Nutr

136

View full text Add to dashboard Cite

show abstract

“…This discrepancy for the Dutch than for the United States adults could be explained by the difference about weight and height values, even within sex and BMI subgroups, thus limiting the validity of this equation in similar taller populations. Numerous studies contributed to further evaluate the currently available predictive equations in overweight and obese subjects [52][53][54][55] and/or in extremely obese subjects [56][57][58][59][60][61] . There is some evidences supporting the Mifflin [59] , the FAOw [56,58] and the Harris Benedict [60] , the Siervo equations [61] in extremely obese subjects.…”

Section: Beyond the Adipose Tissue Excess: The Importance Of Muscle Mmentioning

confidence: 99%

Measurement of body composition as a surrogate evaluation of energy balance in obese patients

Rotella

Dicembrini

2015

WJM

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In clinical practice obesity is primarily diagnosed through the body mass index. In order to characterize patients affected by obesity the use of traditional anthropometric measures appears misleading. Beyond the body mass index, there are overwhelming evidences towards the relevance of a more detailed description of the individual phenotype by characterizing the main body components as free-fat mass, muscle mass, and fat mass. Among the numerous techniques actually available, bioelectrical impedance analysis seems to be the most suitable in a clinical setting because it is simple, inexpensive, noninvasive, and highly reproducible. To date, there is no consensus concerning the use of one preferred equation for the resting energy expenditure in overweight and/or obese population. Energy restriction alone is an effective strategy to achieve an early and significant weight loss, however it results in a reduction of both fat and lean mass therefore promoting or aggravating an unfavourable body composition (as sarcobesity) in terms of mortality and comorbidities. Therefore the implementation of daily levels of physical activity should be simultaneously promoted. The major role of muscle mass in the energy balance has been recently established by the rising prevalence of the combination of two condition as sarcopenia and obesity. Physical exercise stimulates energy expenditure, thereby directly improving energy balance, and also promotes adaptations such as fiber type, mitochondrial biogenesis, improvement of insulin resistance, and release of myokines, which may influence different tissues, including muscle. Core tip: There are overwhelming evidences towards the relevance of a more detailed description of the individual phenotype by characterizing the main body components as free-fat mass, muscle mass, and fat mass. Among the numerous techniques actually available, bioelectrical impedance analysis seems to be the most suitable in a clinical setting because it is simple, inexpensive, noninvasive, and highly reproducible. To date, there is no consensus concerning the use of one preferred equation for the resting energy expenditure in overweight and/or obese population. REVIEW

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“…No entanto, essas alterações são mínimas e não podem ser apontadas como causa de erro na estimativa do GMR [54][55][56][57] . Logo, a ausência dessa informação não influenciou de maneira significativa o resultado deste estudo.…”

Section: Discussionunclassified

Padronização do gasto metabólico de repouso e proposta de nova equação para uma coorte feminina brasileira

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Predicting Energy Expenditure in Extremely Obese Women

Abstract: The Mifflin-St Jeor equation was most accurate method for REE assessment in extremely obese women.

Cited by 38 publications

References 35 publications

A.S.P.E.N. Clinical Guidelines

A.S.P.E.N. Clinical Guidelines

Measurement of body composition as a surrogate evaluation of energy balance in obese patients

Padronização do gasto metabólico de repouso e proposta de nova equação para uma coorte feminina brasileira

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