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Body mass, maintenance and basal metabolism in dogs.

Basal metabolism and body mass are related by the metabolic power function: P = aMb, where P = basal metabolism in Watts, a = mass coefficient, M = body mass in kg, and b = mass exponent. The mass exponent of 117 dogs from the literature b dog = 0.885 +/- 0.024 (r = 0.960; F = 1387; df = 1,115). This mass exponent is significantly greater than the commonly accepted value of 0.75 for mammals. The dog's 95% confidence ellipse is compared with that of mammals with body mass (M) less than 3.2 kg (the lower limit of the mass range in dogs) and greater than 3.2 kg. When M greater than 3.2 kg the interspecific metabolic mass exponent (bi) in mammals is also significantly greater than 0.75 and not different from b dog (bi = 0.869 +/- 0.034; r = 0.919; F = 648; df = 1,120). In mammals M less than 3.2 kg bi is significantly smaller than 0.75 (bi = 0.634 +/- 0.010; r = 0.941; F = 4319; df = 1,561). These data show that in mammals the relationship between the logarithms of basal metabolism and body mass is not accurately described by a single regression line. They also indicate that the commonly accepted 0.75 mass exponent is not applicable to the prediction of basal metabolism in dogs and mammals. The relationship between body mass and maintenance energy metabolism (MEM) in 332 dogs shows that the prediction interval is too wide to reasonably predict MEM in individual dogs. However, the minimum maintenance energy metabolism (MMEM in Watts) can be accurately predicted by a simple algorithm: MMEM = 10.3 + 1.41 x M. The theoretical meaning of the basal metabolic power function is discussed.

Animals↗

Basal metabolic rate in patients with hydrocephalus. On the cause of lowered basal metabolic rate in myotonic dystrophy.

Myotonic dystrophy seems to have a hypometabolism of non-thyroid origin. The hypometabolism could hypothetically be caused by : 1) reduction in muscle mass, 2) hydrocephalus ex vacuo, an integral part of the disorder, or 3) the basic disease process itself. Possibility 2) was explored by determining basal metabolic rate (BMR) in 41 patients with dilatation. A BMR of less than -10 per cent was found in eight cases. The ventricles were categorized in three groups according to width. No decrease in mean BMR was found in cases with a marked ventricular enlargement. Thus, ventricular dilatation per se does not seem to lead to hypometabolism.

Adult↗

Comparison of measured sleeping metabolic rate and predicted basal metabolic rate during the first year of life: evidence of a bias changing with increasing metabolic rate.

OBJECTIVE: To compare measurements of sleeping metabolic rate (SMR) in infancy with predicted basal metabolic rate (BMR) estimated by the equations of Schofield. METHODS: Some 104 serial measurements of SMR by indirect calorimetry were performed in 43 healthy infants at 1.5, 3, 6, 9 and 12 months of age. Predicted BMR was calculated using the weight only (BMR-wo) and weight and height (BMR-wh) equations of Schofield for 0-3-y-olds. Measured SMR values were compared with both predictive values by means of the Bland-Altman statistical test. RESULTS: The mean measured SMR was 1.48 MJ/day. The mean predicted BMR values were 1.66 and 1.47 MJ/day for the weight only and weight and height equations, respectively. The Bland-Altman analysis showed that BMR-wo equation on average overestimated SMR by 0.18 MJ/day (11%) and the BMR-wh equation underestimated SMR by 0.01 MJ/day (1%). However the 95% limits of agreement were wide: -0.64 to +0.28 MJ/day (28%) for the former equation and -0.39 to +0.41 MJ/day (27%) for the latter equation. Moreover there was a significant correlation between the mean of the measured and predicted metabolic rate and the difference between them. CONCLUSIONS: The wide variation seen in the difference between measured and predicted metabolic rate and the bias probably with age indicates there is a need to measure actual metabolic rate for individual clinical care in this age group.

Age Factors↗

Comparison of measured sleeping metabolic rate and predicted basal metabolic rate in the first year of life.

In infants, sleeping metabolic rate (SMR) is used as a proxy for basal metabolic rate (BMR). BMR can be predicted from anthropometry using published equations. Our study was intended to evaluate the ability of these equations to predict measured SMR in infants aged 6 weeks to 12 months. SMR was measured in a mixed longitudinal study using the Douglas bag technique (n = 105). Measured SMR values were compared with BMR predicted from weight (BMR-1) or weight and length (BMR-2). These equations were not successful in predicting SMR in this age group. Percentage error of predicted BMR was related to infant weight (BMR-1: r = 0.26; p < 0.005; BMR-2: r = 0.18; p < 0.06). Alternative logarithmic equations were derived from this study (R = 0.84-0.87; SEE = 0.159-0.168). We conclude that the new equations, relating to contemporary infants, are more suitable but actual measurements remain preferred.

Anthropometry↗

[Basal metabolism].

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Basal Metabolism↗