Literature DB >> 11319633

The prediction of basal metabolic rate in female patients with anorexia nervosa.

L Scalfi1, M Marra, E De Filippo, G Caso, F Pasanisi, F Contaldo.   

Abstract

OBJECTIVE: To evaluate in female patients with anorexia nervosa the accuracy of a specific predictive formula for basal metabolic rate (BMR) already proposed in the literature and to derive a new disease-specific equation with the same purpose.
DESIGN: Cross-sectional study.
SUBJECTS: One-hundred and twenty adolescent girls (<18 y) and young-adult women (18-30 y) with anorexia nervosa. MEASUREMENTS: BMR was determined by indirect calorimetry or predicted according to the Schebendach formula, which was specifically derived for anorexia nervosa.
RESULTS: On average the Schebendach formula performed well in the adolescent group but not in the young-adult group. The range including 95% of the predicted-measured differences was in both cases wider than 2000 kJ/day. In the young-adult patients the accuracy of the prediction was also related to age and body mass index. Weight and age (but not height or body mass index) emerged as predictors of BMR in the sample as a whole, and only weight when the two age groups were considered separately, thus leading to three different equations. The intercepts of these regression lines were very close and not significantly different from zero while their standard error of estimate was 500-550 kJ/day.
CONCLUSION: The Schebendach formula is not very accurate in estimating the BMR of female anorectic patients. Moreover, in this group the relationship between BMR and weight was altered. The predictive formulas proposed by the present study have a reasonable prediction power.

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Year:  2001        PMID: 11319633     DOI: 10.1038/sj.ijo.0801547

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  7 in total

1.  Are the general equations to predict BMR applicable to patients with anorexia nervosa?

Authors:  M Marra; A Polito; E De Filippo; M Cuzzolaro; D Ciarapica; F Contaldo; L Scalfi
Journal:  Eat Weight Disord       Date:  2002-03       Impact factor: 4.652

2.  Clinical Correlates of Measured and Predicted Resting Energy Expenditure in Patients with Anorexia Nervosa: A Retrospective Cohort Study.

Authors:  Rami Bou Khalil; Ariane Sultan; Maude Seneque; Sami Richa; Patrick Lefebvre; Eric Renard; Philippe Courtet; Laurent Maimoun; Sebastien Guillaume
Journal:  Nutrients       Date:  2022-06-30       Impact factor: 6.706

3.  Association between resting energy expenditure, psychopathology and HPA-axis in eating disorders.

Authors:  Giovanni Castellini; Walter Castellani; Lorenzo Lelli; Carolina Lo Sauro; Carla Dini; Lisa Lazzeretti; Lorenza Bencini; Edoardo Mannucci; Valdo Ricca
Journal:  World J Clin Cases       Date:  2014-07-16       Impact factor: 1.337

Review 4.  The importance of prediction model validation and assessment in obesity and nutrition research.

Authors:  A E Ivanescu; P Li; B George; A W Brown; S W Keith; D Raju; D B Allison
Journal:  Int J Obes (Lond)       Date:  2015-10-09       Impact factor: 5.095

5.  Resting Energy Expenditure in Anorexia Nervosa: Measured versus Estimated.

Authors:  Marwan El Ghoch; Marta Alberti; Carlo Capelli; Simona Calugi; Riccardo Dalle Grave
Journal:  J Nutr Metab       Date:  2011-09-18

6.  Resting Energy Expenditure Prediction Equations in the Pediatric Population: A Systematic Review.

Authors:  Jimena Fuentes-Servín; Azalia Avila-Nava; Luis E González-Salazar; Oscar A Pérez-González; María Del Carmen Servín-Rodas; Aurora E Serralde-Zuñiga; Isabel Medina-Vera; Martha Guevara-Cruz
Journal:  Front Pediatr       Date:  2021-12-06       Impact factor: 3.418

7.  An approach to quantifying abnormalities in energy expenditure and lean mass in metabolic disease.

Authors:  L P E Watson; P Raymond-Barker; C Moran; N Schoenmakers; C Mitchell; L Bluck; V K Chatterjee; D B Savage; P R Murgatroyd
Journal:  Eur J Clin Nutr       Date:  2013-11-27       Impact factor: 4.016

  7 in total

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