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PubMed2006

Energy expenditure in children with severe head injury: lack of agreement between measured and estimated energy expenditure.

BACKGROUND: The purpose of this study was to test the hypotheses that estimates of resting energy expenditure (REE) vary significantly from measured energy expenditure in a population of head-injured children and are not accurate for use in determining nutrition needs in this population. METHODS: This is a retrospective study of 30 children with severe head injury, with Glasgow Coma Scale (GCS) score of <8 and needing mechanical ventilation. Measured REE was obtained using indirect calorimetry. Estimated REEs were calculated using Harris-Benedict, World Health Organization (WHO), Schofield, and White formulas. Severity of illness was calculated using Pediatric Risk of Mortality (PRISM) score. Agreement between measured REE and estimated REE was tested using the Bland-Altman method. Correlation coefficient between PRISM score and measured REE was calculated using Spearman test. RESULTS: More than half of the estimates of REE differed from measured REE by >10%. Significant disagreement between estimated REE and measured REE was demonstrated using the Bland-Altman method. There was no correlation between severity of illness and measured REE to explain the inaccuracies of REE estimates. CONCLUSION: Energy expenditure in critically ill children cannot be estimated accurately; hence, nutrition for critically ill children with head injury should be provided according to measurement of REE to avoid the consequences of overfeeding or malnutrition.

Adolescent↗
PubMed1996

Energy expenditure of urban Colombian women: a comparison of patterns and total daily expenditure by the heart rate and factorial methods.

The heart rate and factorial methods of measuring both total daily energy expenditure (TDEE) and the daily pattern of energy expenditure (EE) were compared in nonpregnant, nonlactating women aged 19-43 y living in urban conditions of economic deprivation. The methods were applied on each of 2 successive days. There were no significant differences between the 2 d by either method. Women who worked at their household chores at home (n = 29) and those who also worked for remuneration (at work) in various kinds of employment (n = 23) were compared. The factorial method gave values for TDEE and for the pattern of EE that were significantly lower than those obtained by the heart rate method. This was related to lower values for EE for certain activities obtained from the literature than for values measured in these subjects. Women at work had significantly higher values for both TDEE and for the pattern of EE than did those at home. The TDEE at home by the heart rate method was 8.83 +/- 1.94 MJ/d and at work was 9.99 +/- 1.91 MJ/d (P = 0.036); this difference disappeared when adjusted for body weight or fat-free mass. Physical activity levels were 1.83 +/- 0.43 for women at home and 1.90 +/- 0.46 for women at work, which indicate moderate to heavy work. The factorial method should be used with measured EE values in the present subject population. The heart rate method can detect differences in TDEE and in the pattern of EE between women engaged in different activities and may offer an experimental approach to the study of the effects of daily variations in EE on nutritional energy intake.

Adult↗
PubMed2004

Prediction of daily energy expenditure during a feeding trial using measurements of resting energy expenditure, fat-free mass, or Harris-Benedict equations.

BACKGROUND: During feeding trials, it is useful to predict daily energy expenditure (DEE) to estimate energy requirements and to assess subject compliance. OBJECTIVE: We examined predictors of DEE during a feeding trial conducted in a clinical research center. DESIGN: During a 28-d period, all food consumed by 26 healthy, nonobese, young adults was provided by the investigators. Energy intake was adjusted to maintain constant body weight. Before and after this period, fat-free mass (FFM) and fat mass were assessed by using dual-energy X-ray absorptiometry, and DEE was estimated from the change (after - before) in body energy (DeltaBE) and in observed energy intake (EI): DEE = EI - DeltaBE. We examined the relation of DEE to pretrial resting energy expenditure (REE), FFM, REE derived from the average of REE and calculated from FFM [REE = (21.2 x FFM) + 415], and an estimate of DEE based on the Harris-Benedict equation (HB estimate) (DEE = 1.6 REE). RESULTS: DEE correlated (P < 0.001) with FFM (r = 0.78), REE (r = 0.73), average REE (r = 0.82), and the HB estimate (r = 0.81). In a multiple regression model containing all these variables, R(2) was 0.70. The mean (+/-SEM) ratios of DEE to REE, to average REE, and to the HB estimate were 1.86 +/- 0.06, 1.79 +/- 0.04, and 1.02 +/- 0.02, respectively. CONCLUSIONS: Although a slightly improved prediction of DEE is possible with multiple measurements, each of these measurements suggests that DEE equals 1.60-1.86 x REE. The findings are similar to those of previous studies that describe the relation of REE to DEE measured directly.

Absorptiometry, Photon↗
PubMed1991

The energy expenditure and nutritional status of college students. I. The energy cost and the total energy expenditure per day.

The energy cost of major activities was determined in healthy students. Among the 606 medical students, 319 were males and 287 were females. Their ages ranged from 18 to 24 years. Douglas' method was used to measure energy cost of each of a total of 42 activities, as well as that of the basal metabolic rates (BMR), resting metabolic rates (RMR) and the total energy expenditure per day under normal situations. The average RMR of male and female subjects were 0.669 +/- 0.033 and 0.656 +/- 0.030 kcal/sq.m/min respectively. The total energy expenditure per day of male students were 2706 kcal, and 2373 kcal for female students. The energy cost of single activities can be used as the basal data in studies of energy metabolism.

Adolescent↗
PubMedDate not supplied

The energy expenditure index: a method to quantitate and compare walking energy expenditure for children and adolescents.

We used heart rate and walking speed to calculate an energy expenditure index (EEI), the ratio of heart rate per meter walked, for 102 normal subjects, age 6-18 years. Heart rate was measured at self-selected slow, comfortable, and fast walking speeds on the floor and on a motor-driven treadmill. At slow walking speeds (37 +/- 10 m/min) the EEI was elevated (0.71 +/- 0.32 beats/m), indicating poor economy. At comfortable speeds (70 +/- 11 m/min) the EEI values decreased to the maximum economy (0.47 +/- 0.13 beats/m). At fast speeds (101 +/- 13 m/min), the EEI increased (0.61 +/- 0.17 beats/m), indicating poor economy relative to comfortable speeds. A graph of the EEI versus walking speed provides a way to evaluate and compare energy expenditure in a clinical setting.

Adolescent↗
PubMed1988

Studies on the energy expenditure following surgical stress (II. The correlation between energy expenditure and hormonal changes).

The correlation between energy expenditure and hormonal changes following surgical stress was studied using rats. Blood concentrations of catecholamine, insulin, corticosterone, glucagon, T3, and T4 were compared between the rats (IIa and IIb) in the ebb phase and those (III and IV) in the flow phase, 6 hours after being inflicted with a burn. Noradrenaline was higher, though not significantly, and glucagon was significantly higher in the latter groups than in the former groups. When glucagon was administered to the rats in the ebb phase, RME increased significantly. From these results, it is suggested that glucagon plays an important role in the transition from ebb phase to flow phase.

Animals↗
PubMed1986

An energy 'sources' and 'fractions' approach to the mechanical energy expenditure problem--III. Mechanical energy expenditure reduction during one link motion.

Mechanical energy economy and transformation during one link motion are analyzed on the basis of the theory developed in the previous publications (parts I and II of this series, J. Biomechanics 19, 287-300). The 'compensation coefficient' characterizing mechanical energy economy is introduced. The attempts to estimate MEE using only energy curves and neglecting the powers of real sources of energy implicitly lead to replacement of real force and moment systems by the systems reduced to the centers of mass. But such an unintentional substitution of imaginary sources for real ones, specifically, the reduction of forces acting on the link to the equivalent system, changes estimates of mechanical energy expenditure (MEE). That is why the methods of calculating MEE economy based on the determination of so-called 'quasi-mechanical' work (the sum of the kinetic and potential energy increases per one cycle of motion) are not correct. There are two mechanisms to reduce the MEE using the antiphase fluctuations (corresponding to energy transformations) of the (a) rotational and translational fractions of the total energy (at the expense of the F-sources); (b) potential and kinetic energies (at the expense of the mg-source).

Biomechanical Phenomena↗
PubMed1997

Resting energy expenditures in Asian women measured by indirect calorimetry are lower than expenditures calculated from prediction equations.

OBJECTIVE: Measured resting energy expenditure (REE) and REEs calculated using the Harris-Benedict equation, Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU) equations (FAO equations), and the Liu equation were compared in Asian women. DESIGN: REEs were measured using indirect calorimetry in the morning after an overnight fast and compared with REEs calculated using the Harris-Benedict equation, the FAO equations, and the Liu equation. Height, weight, and 3-day diet records were also obtained. SUBJECTS: Thirty-six healthy, free-living Asian women aged 19 to 52 years and living in the United States were recruited from Washington State University, Pullman, and completed the study. STATISTICAL ANALYSES: Paired t tests, stepwise regression, one-way analysis of variance, and Pearson correlation coefficients were used for the statistical analyses. Significance was set at P < or = .05. RESULTS: A significant correlation was found between measured REE and REE derived from the Harris-Benedict equation (R = 0.67, P < .0001), the FAO equations (R = 0.70, P < .0001), and the Liu equation (R = 0.70, P < .0001). However, measured REE was significantly lower than REE calculated using the Harris-Benedict and FAO equations by 8.5% (P < .001) and 5.4% (P < .01), respectively. No significant difference was noted between measured REE and REE derived from the Liu equation. APPLICATIONS: Caution must be taken when predicting REE of Asian women using the Harris-Benedict equation or the FAO equation. Indirect calorimetry or an equation specific to Asians, such as the Liu equation, is recommended when an accurate estimate is necessary.

Adult↗
PubMed2005

Intra- and interindividual variability of resting energy expenditure in healthy male subjects -- biological and methodological variability of resting energy expenditure.

The objective of the present study was to investigate the contribution of intra-individual variance of resting energy expenditure (REE) to interindividual variance in REE. REE was measured longitudinally in a sample of twenty-three healthy men using indirect calorimetry. Over a period of 2 months, two consecutive measurements were done in the whole group. In subgroups of seventeen and eleven subjects, three and four consecutive measurements were performed over a period of 6 months. Data analysis followed a standard protocol considering the last 15 min of each measurement period and alternatively an optimised protocol with strict inclusion criteria. Intra-individual variance in REE and body composition measurements (CV(intra)) as well as interindividual variance (CV(inter)) were calculated and compared with each other as well as with REE prediction from a population-specific formula. Mean CV(intra) for measured REE and fat-free mass (FFM) ranged from 5.0 to 5.6 % and from 1.3 to 1.6 %, respectively. CV(intra) did not change with the number of repeated measurements or the type of protocol (standard v. optimised protocol). CV(inter) for REE and REE adjusted for FFM (REE(adj)) ranged from 12.1 to 16.1 % and from 10.4 to 13.6 %, respectively. We calculated total error to be 8 %. Variance in body composition (CV(intra) FFM) explains 19 % of the variability in REE(adj), whereas the remaining 81 % is explained by the variability of the metabolic rate (CV(intra) REE). We conclude that CV(intra) of REE measurements was neither influenced by type of protocol for data analysis nor by the number of repeated measurements. About 20 % of the variance in REE(adj) is explained by variance in body composition.

Adipose Tissue↗
PubMed2004

World Health Organization equations have shortcomings for predicting resting energy expenditure in persons from a modern, affluent population: generation of a new reference standard from a retrospective analysis of a German database of resting energy expenditure.

BACKGROUND: Reference standards for resting energy expenditure (REE) are widely used. Current standards are based on measurements made in the first part of the past century in various races and locations. OBJECTIVE: The aim of the present study was to investigate the application of the World Health Organization (WHO) equations from 1985 in healthy subjects living in a modern, affluent society in Germany and to generate a new formula for predicting REE. DESIGN: The study was a cross-sectional and retrospective analysis of data on REE and body composition obtained from 2528 subjects aged 5-91 y in 7 different centers between 1985 and 2002. RESULTS: Mean REE varied between 5.63 and 8.07 MJ/d in males and between 5.35 and 6.46 MJ/d in females. WHO prediction equations systematically overestimated REE at low REE values but underestimated REE at high REE values. There were significant and independent effects of sex, age, body mass or fat-free mass, and fat mass on REE. Multivariate regression analysis explained up to 75% of the variance in REE. Two prediction formulas including weight, sex, and age or fat-free mass, fat mass, sex, and age, respectively, were generated in a subpopulation and cross-validated in another subpopulation. Significant deviations were still observed for underweight and normal-weight subjects. REE prediction formulas for specific body mass index groups reduced the deviations. The normative data for REE from the Institute of Medicine underestimated our data by 0.3 MJ/d. CONCLUSIONS: REE prediction by WHO formulas systematically over- and underestimates REE. REE prediction from a weight group-specific formula is recommended in underweight subjects.

Adolescent↗
PubMed2006

Energy expenditure and restriction of energy intake: could energy restriction alter energy expenditure in companion animals?

The treatment of obesity in companion animals frequently focuses on restriction of energy intake. One important question with this treatment is whether dietary energy restriction (ER) produces a sustained decrease in mass-adjusted energy expenditure (EE), which prevents further weight loss and promotes rapid regain of body weight during lapses in dietary ER. This review summarizes studies that investigated the effects of dietary ER on EE at the whole-animal, organ, and cellular level. Whole-animal studies indicate that long-term dietary ER either decreases or does not affect mass-adjusted EE. The reason for this discrepancy between studies is not entirely clear, although analysis of data pooled from multiple studies suggests that a reduction in mass-adjusted EE with long-term ER would be observed if the sample size were sufficiently large and appropriate methods were used to adjust EE for body size. At the organ level, attempts were made to determine whether alterations in organ mass can entirely explain changes in EE with dietary ER. However, these studies were not conclusive, and it remains to be determined whether changes in EE exceed those that would be predicted from ER-induced alterations in organ mass. At the cellular level, there is evidence that dietary ER may induce sustained decreases in substrate oxidation, mitochondrial proton, and Na+-K+-ATPase activity in at least some tissues. These results are consistent with the idea that dietary ER may induce decreases in cellular EE. However, future studies integrating measurements at the whole-animal, organ, and cellular level will be required to determine definitively whether dietary ER produces sustained decreases in tissue or cellular EE.

Animals↗
PubMed2005

Sex hormone suppression reduces resting energy expenditure and {beta}-adrenergic support of resting energy expenditure.

Resting energy expenditure (REE) decreases with aging and may decrease in women as a result of the menopause, potentially contributing to weight gain. REE has been observed to fluctuate during the menstrual cycle, suggesting regulation by sex hormones. The aim of the present study was to determine the effects of suppressing estrogen and progesterone on REE. Fourteen premenopausal women, 29 +/- 5 yr old (mean +/- sd), were studied in the midluteal menstrual phase (ML) and after 6 d of GnRH antagonist therapy (GnRHant) administered in the follicular menstrual phase. REE was measured by indirect calorimetry in the morning after a 12-h fast and again during beta-adrenergic blockade to determine sympathetic nervous system (SNS) support of REE. Treatment with GnRHant significantly decreased REE (1405 +/- 42 vs. 1334 +/- 36 kcal/d, mean +/- se, ML vs. GnRHant; P = 0.002). Additionally, SNS blockade tended to alter REE more during ML than during GnRHant (-19 +/- 10 vs. 5 +/- 11 kcal/d; P = 0.14). Suppression of sex hormones to postmenopausal levels by GnRHant reduced REE in young healthy women. These findings suggest that the withdrawal of estrogen and/or progesterone attenuates REE, possibly through a SNS-mediated mechanism.

Adult↗
PubMedDate not supplied

Medical expenditures and insurance coverage for people with diabetes: estimates from the National Medical Care Expenditure Survey.

Access to health insurance and protection against expenditures for medical care are of special concern to diabetic patients in the United States. This study examines some information on the extent and breadth of public and private health insurance for individuals with diabetes, as well as some estimates of their use of health-care services and their mean expenses for this care. About 12% of all diabetic patients less than 65 yr old (approximately 311,000 individuals) were uninsured throughout 1977, a rate not much different from that for the rest of the United States population. Those with diabetes who are uninsured tend to be younger, Black or Hispanic, in excellent or good health, and live outside of metropolitan areas and in the South or West. As expected, diabetic patients use more medical care than others of their age and sex, and their medical expenses are also much higher, particularly in younger age groups. In 1977, average total medical-care expenses for people with diabetes were $1514 compared with $548 for the rest of the population. They and their families paid approximately 20% out of pocket (approximately $355). Their health insurance premiums were not much different from those without diabetes, averaging approximately $1000 in 1977 for those under age 65. The private insurance coverage for diabetic patients was similar to that for others, although slightly fewer had major medical coverage than the general population.

Adult↗
PubMed2003

Press coverage of public expenditure of Master Settlement Agreement funds: how are non-tobacco control related expenditures represented?

OBJECTIVE: To examine newspaper reports of Master Settlement Agreement (MSA) allocation decisions outside of tobacco control, focusing on the arguments being put forth in favour of competing claims on MSA funds. The major aims were to identify newsworthy non-tobacco control areas for which MSA funds have been applied and to examine how non-tobacco control spending has been presented through the US press. DESIGN: A qualitative textual analysis was performed on 94 articles taken from a sample of 322 newspapers over a 12 month period (October 2000 through September 2001) that related to the allocation of MSA funds to non-tobacco control causes. Articles were coded for general content areas of MSA allocation as well as for rhetorical and framing devices employed to explain and justify allocation decisions. MAIN OUTCOME MEASURES: (1) Areas of non-tobacco control allocation; (2) rhetorical devices and framing techniques employed in the articles to discuss the allocation. RESULTS: The analysis identified a wide variety of issues for which MSA funds were being appropriated. Three main frames emerged in relation to justifying or appealing for particular spending decisions: (1) funds should be allocated to the needy and/or the deserving; (2) funds should be spent on state development; (3) funds should be put towards helping the state weather a crisis. Claims for each such issue were made using strategies such as presenting the MSA funds as a "windfall", focusing coverage on the merits of the cause rather than the issue of resource allocation, and stressing links between the particular claim and the stated objectives of the MSA. CONCLUSIONS: Press coverage of MSA non-tobacco control spending suggests that the funds have been quickly formulated as fodder for state spending, rather than to support tobacco control efforts. Thus, caution is required in pursuing settlements with the industry where the objective is better funding for tobacco control efforts, particularly in light of the possibility that press coverage of MSA allocation may actually serve as positive publicity for the tobacco industry.

Health Expenditures↗