Schofield equations are the most frequently used in the dietary studies. Calculation of the BMR used the Schofield equations, 7 the derivation of which included only small numbers of elderly subjects. Although the Harris-Benedict equation (HBE) is the oldest of these equations, published in 1919, due to its simplicity it still plays a major role in nutrition management in clinical settings. This paper looks at the origins and limitations of some of the more commonly used equations. BMR was estimated by using the equations endorsed in the report of the 1985 FAO/WHO/UNU expert consultation (Schofield, 1985), and upheld by this consultation (section 5.2, Table 5.2), using the median weight for every year of age. If the Schofield equation overestimated BMR, a greater percentage of survey respondents would be classified as under-reporters. None of the three equations performed consistently better in women. They formed the basis for the equations derived and used by FAO/WHO/UNU (FAO/WHO/UNU, 1985; 2004). The present study aimed to determine the effect of disease activity measured by clinical status, systemic and stool inflammatory markers on REE in children with Crohn disease using appropriate correction for confounding factors. Our study has a number of strengths. Predictive equations for children and adolescents are presented for the sake of completeness. Schofield equations are the most commonly used to predict normal RMR in healthy subjects (Table 1). Finally, Schofield equation, similar to all equations used to estimate energy requirement, has limitations and can potentially overestimate the energy requirement.13 35 This may be why the children in this study reportedly consumed on average 86% of estimated energy requirement yet had good growth. Equations were based on ranges of: A, 21 – 70 years; BM, 25 – 124.9 kg; H, 151 – 200 cm. However, considering the inconsistence in several research results, there is no consensus yet about the applicability of many of these methods. Henry equations were the most accurate in men. McDuffie et al examined the predictive ability of equations developed for healthy subjects (including FAO/WHO/UNU, Schofield [weight, weight and height]), as well as other equations developed specifically for obese individuals (Molnar-1 and Molnar-2, Tverskaya, and Maffers). Limitations ̶TEF, AT, spontaneous activity, genetics, ethnicity, environment, individual adaptation are not accounted for. The mean difference and 95 % limits of agreement for measured and predicted REE (kJ/kg per d) for the Schofield equation without adjusting for stress were 8 (-3, 19), 16 (6, 26) and 16 (10, 22) for days 10, 42 and 84, respectively. Objective: To compare measurements of sleeping metabolic rate (SMR) in infancy with predicted basal metabolic rate (BMR) estimated by the equations of Schofield. After the analysis of the various publications on the numerous newly developed equations to improve predictive power of Schofield equations, the Estimation of RMR using prediction equations is the basis for calculating energy requirements. These results support the use of Henry equations in men with a wide range of age and BMI. This approach is limited by the choice of equation (Schofield et al 1985) used to calculate basal metabolic rate, and by lack of easily interpretable activity tables for children. After adjusting for stress, REE predicted from the Harris Benedict or Schofield equations overestimated measured REE by between 38 and 69 %. The average PAL of healthy, well-nourished adults is a major determinant of their total energy requirement. The estimated BMR value may be multiplied by a number that corresponds to the individual's activity level; the resulting number is the approximate daily kilocalorie intake to maintain current body weight. The equations also assume a linear relation between body weight and BMR, as fat tissue is less metabolically active this seems likely to be an oversimplification. 5.3 Physical activity level. Filtered back projection is an analytic reconstruction algorithm designed to overcome the limitations of conventional back projection; it applies a convolution filter to remove blurring. In the present study, RMR was predicted by Harris-Benedict, Schofield, Henry, Mifflin-St Jeor and Owen equations and measured by indirect calorimetry in 125 healthy adult women of varying BMI (17-44 kg/m 2).Agreement between methods was assessed by Bland-Altman analyses and each equation was … The CV of BMRs, when actually measured, is very small, as described earlier, while the CV of BMRs predicted using the Schofield equations for given body weights is of the order of about 8% (Schofield, 1985). Conclusion. These findings suggest that energy restriction calculations based on these equations may be insufficient to facilitate glycemic control and weight loss or maintenance in this population. For example, in males, the Harris–Benedict equation overestimated the measured REE by 175 kcal/day. bly labeled water, predictive equations, among others. In Skouroliakou et al’s study,21 the predictive Harris–Benedict and Schofield equations were found to greatly overestimate the real energy needs of male and female patients with SMIs. On the contrary, the bias at the population level was similarly within ±5% for the HB, FAO, and Schofield equations in both genders, confirming previous results on the use of the HB equation in CD. Source: NHMRC et al. Similarly, the Schofield equation underestimated REE in both sexes (− 2.6% vs. -5.8%), while the Bernstein equation underestimated REE only in females (− 5.1%). All these methods have been used in clinical and research areas. 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