Basal Metabolic Rate in Anorexia Nervosa Patients: Using Appropriate Predictive Equations during the Refeeding Process

2006 ◽  
Vol 18 (2) ◽  
pp. 123-127 ◽  
Author(s):  
Valerie L. Forman-Hoffman ◽  
Timothy Ruffin ◽  
Susan K. Schultz
Author(s):  
Bahareh Nikooyeh ◽  
Nastaran Shariatzadeh ◽  
Ali Kalayi ◽  
Maliheh Zahedirad ◽  
Tirang R. Neyestani

Abstract. Some studies have reported inaccuracy of predicting basal metabolic rate (BMR) by using common equations for Asian people. Thus, this study was undertaken to develop new predictive equations for the Iranian community and also to compare their accuracy with the commonly used formulas. Anthropometric measures and thyroid function were evaluated for 267 healthy subjects (18–60 y). Indirect calorimetry (InCal) was performed only for those participants with normal thyroid function tests (n = 252). Comparison of predicted RMR (both kcal/d and kcal.kg.wt−1.d−1) using current predictive formulas and measured RMR revealed that Harris-Benedict and FAO/WHO/UNU significantly over-estimated and Mifflin-St. Jeor significantly under-estimated RMR as compared to InCal measurements. In stepwise regression analysis for developing new equations, the highest r2 (=0.89) was from a model comprising sex, height and weight. However, further analyses revealed that unlike the subjects under 30 y, the association between age and the measured RMR in subjects 30 y and plus was negative (r = −0.241, p = 0.001). As a result, two separate equations were developed for these two age groups. Over 80 percent of variations were covered by the new equations. In conclusion, there were statistical significant under- and over-estimation of RMR using common predictive equations in our subjects. Using the new equations, the accuracy of the calculated RMR increased remarkably.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 624-624
Author(s):  
Luiz Dos Anjos ◽  
Tatiana Campos ◽  
Juliana Dantas ◽  
Fernanda Fernandes ◽  
Vivian Wahrlich

Abstract Objectives To measure basal metabolic rate (BMR) and to compare the values with estimated BMR from international and local predictive equations in inflammatory bowel disease (IBD) patients. Methods A total of 72 (38 women) subjects with Chron's disease (n = 45, 19 women) and ulcerative colitis (n = 27, 19 women) from an outpatient care unit in Rio de Janeiro, Brazil, agreed to participate in the study. Anthropometric measures were obtained using standard procedures. Percent body fat (PBF) was assessed by DXA. BMR was measured (BMRm) by indirect calorimetry (Vmax Encore 29) under standardized conditions and compared with BMR estimated by internationally-recommended (Schofield, 1985) and locally-developed (Anjos et al., 2014) predictive equations. Bias was calculated as estimated - measured BMR. Results The mean ± SD (range) age was 38.0 ± 11.3 (20.1 – 58.3) years with a mean BMI of 24.7 ± 4.5 (16.1 – 39.1) kg.m−2 and PBF of 32.2 ± 9.1 (9.7 – 53.4). BMRm was significantly lower in women (1169.3 ± 205.0) than men (1439.0 ± 197.5) kcal.day−1. The Schofield's equations significantly overestimated BMR for both women (bias of 204.0 ± 148.3 kcal.day−1 or 17.4%) and men (306.7 ± 171.0 kcal.day−1 or 21.3%). The locally-developed equation yielded nonsignificant estimates for both women (−5.8 ± 143.7 kcal.day−1 or −0.5%) and men (−19.9 ± 165.5 kcal.day−1 or −1.4%). Conclusions The findings of the present study indicate that internationally-recommended BMR predictive equations are not accurate to estimate BMR in IBD patients in a tropical setting. As observed in samples of healthy adults from the same city, the locally-developed BMR equations yield unbiased and accurate estimates for IBD patients. Funding Sources CNPq (310,461/2016–20) and FAPERJ (E-26/202.514/2018; E-26/203.068/2018; E-26/203.068/2017; E-26/202.520/2016; E-26/210.747/2016).


PLoS ONE ◽  
2015 ◽  
Vol 10 (11) ◽  
pp. e0142859 ◽  
Author(s):  
Luiz Lannes Loureiro ◽  
Sidnei Fonseca ◽  
Natalia Gomes Casanova de Oliveira e Castro ◽  
Renata Baratta dos Passos ◽  
Cristiana Pedrosa Melo Porto ◽  
...  

2000 ◽  
Vol 71 (6) ◽  
pp. 1495-1502 ◽  
Author(s):  
Angela Polito ◽  
Andrea Fabbri ◽  
Anna Ferro-Luzzi ◽  
Massimo Cuzzolaro ◽  
Laura Censi ◽  
...  

2008 ◽  
Vol 5 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Shigeho Tanaka ◽  
Kazunori Ohkawara ◽  
Kasuko Ishikawa-Takata ◽  
Akemi Morita ◽  
Shaw Watanabe

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