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PubMed2002

No effect of the Trp64Arg beta(3)-adrenoceptor gene variant on weight loss, body composition, or energy expenditure in obese, caucasian postmenopausal women.

The Trp64Arg polymorphism in the beta(3)-adrenoceptor gene has been associated with increased prevalence of obesity, type 2 diabetes, and low rates of energy expenditure, although these findings are not unanimous. It is currently unknown if the presence of the Trp64Arg gene variant impedes the loss of body weight in obese, postmenopausal women via a reducing effect on energy expenditure. The objective of this study was to compare body composition and energy expenditure in carriers and noncarriers of the Trp64Arg variant in the beta(3)-adrenoceptor before and after weight loss. We measured body composition, total daily energy expenditure (TEE), resting metabolic rate (RMR), physical activity energy expenditure (PAEE), thermic effect of feeding (TEF), and respiratory quotient (RQ) in 34 obese, postmenopausal women (19 carriers and 15 noncarriers for the Trp64Arg variant) before and after a weight loss intervention. There were no differences in body composition or daily energy expenditure and its components between the 2 groups at baseline. There were significant reductions in body mass, body mass index (BMI), percent body fat, fat-free mass, and fat mass (main effect, all P <.0001) when analyzed with the 2 genotypes combined, but no significant differences between carriers and noncarriers with respect to change in these variables (group x time interaction term, all P >.05). Total energy expenditure tended to be reduced (490 kJ x d(-1), P =.13) in both groups following weight loss, but there was no significant group x time interaction term (P =.78), indicating no difference in the response of the 2 genotypes. There was a 9% reduction in RMR (611 kJ x d(-1), P <.001) when both groups were considered together, but no significant group x time interaction term (P =.84), suggesting that both groups responded in a similar manner to the weight loss intervention. PAEE and the TEF were not different following weight loss (both P >.60). There was a trend for RQ to be reduced after weight loss (P =.07), but there was no difference between carriers or noncarriers of the Trp64Arg variant (P =.58). In summary, we found that obese postmenopausal women who carry the Trp64Arg variant in the beta(3)-adrenoceptor had similar changes in body composition and energy expenditure to noncarriers of the variant in response to prolonged caloric restriction. These results suggest that the presence of the Trp64Arg variant in the beta(3)-adrenoceptor should not be a hindrance to weight reduction.

Amino Acid Substitution↗
PubMed2003

The relationship between low income and household food expenditure patterns in Canada.

OBJECTIVES: To compare food expenditure patterns between low-income households and higher- income households in the Canadian population, and to examine the relationship between food expenditure patterns and the presence or absence of housing payments among low-income households. DESIGN: Secondary data analysis of the 1996 Family Food Expenditure Survey conducted by Statistics Canada. SETTING: Sociodemographic data and 1-week food expenditure data for 9793 households were analysed. SUBJECTS: Data were collected from a nationally representative sample drawn through stratified multistage sampling. Low-income households were identified using Statistics Canada's Low Income Measures. RESULTS: Total food expenditures, expenditures at stores and expenditures in restaurants were lower among low-income households compared with other households. Despite allocating a slightly greater proportion of their food dollars to milk products, low-income households purchased significantly fewer servings of these foods. They also purchased fewer servings of fruits and vegetables than did higher-income households. The effect of low income on milk product purchases persisted when the sample was stratified by education and expenditure patterns were examined in relation to income within strata. Among low-income households, the purchase of milk products and meat and alternatives was significantly lower for households that had to pay rents or mortgages than for those without housing payments. CONCLUSIONS: Our findings indicate that, among Canadian households, access to milk products and fruits and vegetables may be constrained in the context of low incomes. This study highlights the need for greater attention to the affordability of nutritious foods for low-income groups.

Canada↗
PubMed1995

Resting energy expenditure of patients with gynecologic malignancies.

OBJECTIVE: To evaluate resting energy expenditure compared to predicted energy expenditure in patients with cervical or ovarian carcinoma who require specialized nutritional support. DESIGN: Women with biopsy-proven cervical or ovarian carcinoma referred to the Nutrition Support Service were studied. Resting energy expenditure was measured by indirect calorimetry and compared to predicted energy expenditure (PEE) as determined by the Harris-Benedict equation for females. RESULTS: Sixty one patients were studied. Patients with ovarian cancer (n = 31) had a significantly higher measured resting energy expenditure (% PEE) than patients with cervical cancer (109 +/- 18% vs. 98 +/- 16%, p < 0.02, respectively). This difference in measured resting energy expenditure between groups could not be explained by differences in the extent of disease, nutritional status, body temperature, or nutrient intake between groups. A greater proportion of patients with ovarian cancer were hypermetabolic (> 110% of predicted) in comparison to patients with cervical cancer (55% vs. 13%, p < 0.01, respectively). Measured resting energy expenditure varied between 53% and 157% of predicted for the entire population. CONCLUSION: Ovarian cancer patients are more hypermetabolic than cervical cancer patients. The Harris-Benedict equation for females is a unreliable estimate of caloric expenditure in patients with cervical or ovarian cancer receiving specialized nutritional support.

Adult↗
PubMed1999

The effect of smoking on energy expenditure and plasma catecholamine and nicotine levels during light physical activity.

A number of studies have found that cigarette smoking causes an acute increase in resting energy expenditure, but the effect on energy expenditure during light physical activity is less clear. Since both smoking and activity have been shown to increase plasma catecholamines, these could produce additive effects on energy expenditure when smoking during light physical activity. In this study, the impact of cigarette smoking on energy expenditure, cardiovascular function, plasma nicotine and plasma catecholamine levels was determined in adult male subjects at rest and while engaged in light physical activity. Smoking at rest resulted in a 3.6% increase in energy expenditure above the resting baseline; whereas the increase in energy expenditure caused by smoking during light physical activity (compared with the light physical activity baseline) was 6.3%. This increase during light physical activity was significantly greater than the increase observed at rest (p < 0.025). As expected, plasma nicotine increased with smoking during both rest and light physical activity. An increase in plasma nicotine was associated with smoking during light physical activity. When this increase was adjusted as a covariate, the difference in smoking-related energy expenditure between light physical activity and rest disappeared, suggesting nicotine accounts for the effect. Plasma epinephrine and norepinephrine levels increased with smoking and showed a significantly greater increase during light physical activity compared to rest. Cigarette smoking caused a significantly greater increase in heart rate during light physical activity than it did while at rest, but there was no significant effect of smoking on mean blood pressure. It was concluded that there is enhanced energy expenditure associated with cigarette smoking during light physical activity when compared with smoking at rest which could be due in part to smoking-induced increases in circulating plasma catecholamines and perhaps nicotine.

Adult↗
PubMedDate not supplied

Basal metabolic rate in relation to body composition and daily energy expenditure in the field vole, Microtus agrestis.

Basal metabolic rate in the field vole (Microtus agrestis) was studied in relation to body composition and daily energy expenditure in the field. Daily energy expenditure was measured by means of doubly labelled water (D2 18O). In the same individuals, basal metabolic rate was subsequently derived from O2 consumption in an open-circuit system in the laboratory. Body composition was obtained by dissecting the animals and determining fresh, dry, and lean dry mass of different organs. Daily energy expenditure for free-living field voles ranged from 1.8 to 4.5 times basal metabolic rate, with an average of 2.9 times basal metabolic rate. Variation in both daily energy expenditure and basal metabolic rate was best explained by body mass. Gender or reproductive activity did not have significant additive effects. Daily energy expenditure and basal metabolic rate showed significant positive relationships to body mass with similar mass exponents of 0.493 and 0.526, respectively. Overall, there was a significant correlation between daily energy expenditure and basal metabolic rate, but the mass-independent residuals (deviations from the allometrically predicted values) did not correlate. Carcass analysis revealed that a number of organs were slightly better predictors for daily energy expenditure and basal metabolic rate than was fresh body mass. Mass-independent residuals of lean dry heart mass and basal metabolic rate were positively correlated, which is in agreement with the idea that basal metabolic rate reflects the size of metabolically active organs. The study does not provide support for an intraindividual association of basal metabolic rate with daily energy expenditure in the field.

Animals↗
PubMed1998

Resting energy expenditure in children in a pediatric intensive care unit: comparison of Harris-Benedict and Talbot predictions with indirect calorimetry values.

The use of prediction equations has been recommended for calculating energy expenditure. We evaluated two equations that predict energy expenditure, each of which were corrected for two different stress factors, and compared the values obtained with those calculated by indirect calorimetry. The subjects were 55 critically ill children on mechanical ventilation. Basal metabolic rates were calculated with the Harris-Benedict and Talbot methods. Measured resting energy expenditure was 4.72 +/- 2.53 MJ/d. The average difference between measured resting energy expenditure and the Harris-Benedict prediction with a stress factor of 1.5 was -0.98 MJ/d, with an SD delta of 1.56 MJ/d and limits of agreement from -4.12 to 2.15; for a stress factor of 1.3 the average difference was -0.22 MJ/d, with an SD delta of 1.57 MJ/d and limits of agreement from -3.37 to 2.93. The average difference between measured resting energy expenditure and the Talbot prediction with a stress factor of 1.5 was -0.23 MJ/d, with an SD delta of 1.36 MJ/d and limits of agreement from -2.95 to 2.48; for a stress factor of 1.3, it was 0.42 MJ/d, with an SD delta of 1.24 MJ/d and limits of agreement from -2.04 to 2.92. These limits of agreement indicate large differences in energy expenditure between the measured value and the prediction estimated for some patients. Therefore, neither the Harris-Benedict nor the Talbot method will predict resting energy expenditure with acceptable precision for clinical use. Indirect calorimetry appears to be the only useful way of determining resting energy expenditure in these patients.

Adult↗
PubMed1999

Influence of fluoroquinolone purchasing patterns on antimicrobial expenditures and Pseudomonas aeruginosa susceptibility.

The influence of using ofloxacin in place of ciprofloxacin on hospital fluoroquinolone expenditures, total antimicrobial expenditures, and susceptibility of Pseudomonas aeruginosa to fluoroquinolones was studied. Hospitals with fluoroquinolone expenditures of at least $1 per occupied bed per year were administered annual surveys covering the years 1993 through 1996. The two most recent consecutive years of data were compared among hospitals that used ciprofloxacin as their primary fluoroquinolone during both years (group 1), hospitals whose ofloxacin purchases increased from accounting for < or =25% of total fluoroquinolone expenditures during year 1 to accounting for >25% during year 2 (group 2), and hospitals whose ofloxacin purchases accounted for at least 25% of total fluoroquinolone expenditures for both years (group 3). A total of 109 hospitals were included in the study. Most hospitals spent more on fluoroquinolones and total antimicrobials in year 2 than year 1. Group 3 hospitals had a significant increase in expenditures for fluoroquinolones and non-fluoroquinolone antipseudomonal antimicrobials. Group 2 hospitals did not realize antimicrobial cost savings and had higher rates of Pseudomonas aeruginosa resistance than hospitals that used ciprofloxacin. Whether a hospital changed its pattern of ciprofloxacin and ofloxacin purchasing was not significantly associated with expenditures for fluoroquinolones, nonfluoroquinolone antimicrobial agents, or all antimicrobials. Susceptibility of P. aeruginosa to ciprofloxacin was lower in hospitals with greater proportions of ofloxacin use. Individual hospital, ciprofloxacin expenditures, and study year were found to be predictive of P. aeruginosa susceptibility to ciprofloxacin among all pooled hospitals.

Anti-Infective Agents↗
PubMed1992

Energy expenditure and requirements in aging humans.

Although physical activity is frequently recommended for the elderly individual, its influence on energy intake and energy expenditure is unclear. The use of indirect calorimetry techniques and stable isotopes make it possible to examine the effects of physical activity on total daily energy expenditure and its components. In this review, the influence of physical activity on adaptive changes in energy intake, daily energy expenditure, resting metabolic rate and the energy expenditure of physical activity during nonexercising time was examined. Recent findings show that moderate physical activity can increase resting metabolic rate and energy intake in the elderly. Vigorous exercise, however, did not increase total daily energy expenditure because of a compensatory decline in physical activity during nonexercising time. These findings should prompt investigators to re-examine the influence of different levels of endurance exercise on total daily energy expenditure in an attempt to maximize the energy expending properties of physical exercise in older persons. A second objective was to examine the current status of methodology to predict energy requirements in older persons. Current recommendations for energy lack specificity and have not considered the influence of physical activity and body composition. Energy needs of older persons need to be re-examined based on the measurement of total daily energy expenditure. It will then be important to identify biological markers of total daily energy expenditure that take into account the variation in physical activity and body composition.

Aged↗
PubMed1997

Total energy expenditure and physical activity level of lactating Mesoamerindians.

Energy-sparing mechanisms may be elicited to meet increased energy requirements imposed by lactation on women who reside in poor, rural communities in developing countries. The objectives of this study were to measure total energy expenditure and its components, basal and activity energy expenditure, and to investigate their relationships with lactation performance in a total of 40 rural Mesoamerindians stratified according to postpartum body mass index. Total energy expenditure and fat-free mass were measured by the doubly labeled water method, and basal metabolic rate was determined by indirect calorimetry at 3 and 6 mo postpartum. Physical activity level was taken as the ratio of total energy expenditure to basal metabolic rate. Milk energy output, which is not included in total energy expenditure, was computed from 24-h milk intake (test-weighing) and energy concentration of milk (bomb calorimetry). Anthropometric measurements revealed negligible mobilization of tissue stores. Mean (+/- SD) total energy expenditures were 8912 +/- 1296 kJ/d and 9253 +/- 1298 kJ/d for the lower and higher body mass index groups, respectively. Adjusted for fat-free mass, total energy expenditure was higher in the lower body mass index group (P = 0.05). Adjusted for fat-free mass, basal metabolic rate did not differ between groups. Physical activity level was significantly higher in the lower body mass index group (P = 0.03). Lactation performance did not differ between groups and was not associated with total energy expenditure or its components. Despite the maintenance of energy balance and heightened energy requirements of lactation, energy-sparing mechanisms were not evident in these lactating Mesoamerindians.

Adolescent↗
PubMed2006

Estimating energy expenditure for brief bouts of exercise with acute recovery.

Four indirect estimations of energy expenditure were examined, (i) O(2) debt, (ii) O(2) deficit, (iii) blood lactate concentration, and (iv) excess CO(2) production during and after 6 exercise durations (2, 4, 10, 15, 30, and 75 s) performed at 3 different intensities (50%, 100%, and 200% of VO(2) max). Analysis of variance (ANOVA) was used to determine if significant differences existed among these 4 estimations of anaerobic energy expenditure and among 4 estimations of total energy expenditure (that included exercise O(2) uptake and excess post-exercise oxygen consumption, or EPOC, measurements). The data indicate that estimations of anaerobic energy expenditure often differed for brief (2, 4, and 10 s) bouts of exercise, but this did not extend to total energy expenditure. At the higher exercise intensities with the longest durations O(2) deficit, blood lactate concentration, and excess CO(2) estimates of anaerobic and total energy expenditure revealed high variability; however, they were not statistically different. Moreover, they all differed significantly from the O(2) debt interpretation (p < 0.05). It is concluded that as the contribution of rapid substrate-level ATP turnover with lactate production becomes larger, the greatest error in quantifying total energy expenditure is suggested to occur not with the method of estimation, but with the omission of a reasonable estimate of anaerobic energy expenditure.

Adenosine Triphosphate↗
PubMed1987

Regulatory alterations of daily energy expenditure induced by fasting or overfeeding in unrestrained rats.

The consequences of fasting or overfeeding during 2 days on energy expenditure were investigated by continuously monitoring O2 consumption in unrestrained, unanesthetized rats. O2 consumption decreased by 15% on the 1st day of fasting and then by an additional 15% on the 2nd day. On the 3rd day, when rats were fed again, energy intake increased by 30% above control (prefasting) values, whereas energy expenditure rapidly increased but no more than control values. On the other hand, when ad libitum fed animals were offered a sucrose solution (32%) for 2 days, energy intake increased by 30% and energy expenditure by 9-12%. On the 3rd day, when the rats were fed with their normal diet, energy intake significantly decreased under control (preoverfeeding) values during one day, but energy expenditure rapidly returned to normal values. The results show that fasting decreases, whereas hyperphagia increases 24-h energy expenditure during the treatments. When the treatments are terminated, energy expenditure rapidly returns to normal values, but fasting induces a postfasting increase of energy intake (during 2 days), whereas hyperphagia, on the contrary, results in a transient decrease of appetite. This indicates that alterations of food intake induce compensatory changes of energy expenditure during the treatments, but that after the treatments, energy balance is normalized via regulatory adjustments in the ratio of energy expenditure over energy intake.

Animals↗
PubMedDate not supplied

Increased resting energy expenditure in patients with end-stage renal disease.

BACKGROUND: Protein-calorie malnutrition is a significant problem for patients with end-stage renal disease. Increased resting energy expenditure may be an important contributing factor. We postulate that resting energy expen diture in the different stages of renal disease and treatments may be different. METHODS: Resting energy expenditure was measured using a whole-room indirect calorimeter (metabolic chamber) along with nutritional parameters and body composition after 12-hour fasting in 15 patients with advanced chronic renal failure patients, 15 patients on chronic hemodialysis, and 10 patients on peritoneal dialysis. Patients on hemodialysis were assessed on a non-dialysis day. A 2-day dietary recall was used to assess energy intake. RESULTS: Resting energy expenditure, adjusted for fat-free mass, was similar in patients on hemodialysis and peritoneal dialysis but significantly higher than in patients with chronic renal failure (p < .05). Resting energy expenditure in all patients were generally higher (10% to 20%) than predicted values using standard equations derived in normal and obese populations, whereas daily energy intake was less (26% to 34%) than energy expenditure for all groups, adjusted for light daily activity. CONCLUSIONS: End-stage renal disease patients displayed increases in resting energy expenditure over the predicted values derived using normal populations. Resting energy expenditure was significantly higher in patients receiving dialysis, regardless of the modality, than patients with chronic renal failure. Daily energy intake was substantially less than required in all patient groups studied, suggesting that patients with renal failure could develop protein-calorie malnutrition because of increased resting energy expenditure, which is exacerbated by dialysis.

Blood Proteins↗
PubMedDate not supplied

Correlation between measured energy expenditure and clinically obtained variables in trauma and sepsis patients.

BACKGROUND: Indirect calorimetry is the preferred method for determining caloric requirements of patients, but availability of the device is limited by high cost. A study was therefore conducted to determine whether clinically obtainable variables could be used to predict metabolic rate. METHODS: Patients with severe trauma or sepsis who required mechanical ventilation were measured by an open-circuit indirect calorimeter. Several clinical variables were obtained simultaneously. Measurements were repeated every 12 hours for up to 10 days. RESULTS: Twenty-six trauma and 30 sepsis patients were measured 423 times. Mean resting energy expenditure was 36 +/- 7 kcal/kg (trauma) vs 45 +/- 8 kcal/kg (sepsis) (p < .0001). The single strongest correlate with resting energy expenditure was minute ventilation (R2 = 0.61, p < .0001). Doses of dopamine, dobutamine, morphine, fentanyl, and neuromuscular blocking agents each correlated positively with resting energy expenditure. In the case of the inotropics and neuromuscular blockers, there was a probable covariance with severity of illness. A multiple regression equation was developed using minute ventilation, predicted basal energy expenditure, and the presence or absence of sepsis: resting energy expenditure = -11000 + minute ventilation (100) + basal energy expenditure (1.5) + dobutamine dose (40) + body temperature (250) + diagnosis of sepsis (300) (R2 = 0.77, p < .0001). CONCLUSION: Severe trauma and sepsis patients are hypermetabolic, but energy expenditure is predictable from clinical data. The regression equations probably apply only to severe trauma and sepsis. Other studies should be conducted to predict energy expenditure in other patient types.

Adult↗
PubMed1999

Hormonal and physiological correlates of energy expenditure and substrate oxidation in middle-aged, premenopausal women.

An understanding of the hormonal and physiological correlates of energy expenditure and substrate oxidation in middle-aged women will increase our knowledge of factors that promote changes in energy balance and adiposity. We measured resting and postprandial energy expenditure and substrate oxidation in 59 middle-aged, premenopausal women (mean+/-sD age, 47+/-2 yr) to examine the hormonal and physiological correlates of energy and substrate metabolism. Energy expenditure and substrate oxidation were measured at rest using indirect calorimetry and urinary nitrogen excretion and for 180 min after the ingestion of a liquid meal (10 kcal/kg fat-free mass; 410+/-44 Cal). Fasting hormone levels were measured by RIA, glucose tolerance was determined by a 75-g oral glucose tolerance test, body composition was measured by dual energy x-ray absorptiometry, and peak aerobic capacity was determined by a treadmill test. Using stepwise regression analysis, we found that resting energy expenditure was predicted by fat-free mass and serum leptin concentration (r2 = 66%; P < 0.01), fat oxidation was predicted by resting energy expenditure (r2 = 17%; P < 0.01), and carbohydrate oxidation was predicted by serum leptin and appendicular skeletal muscle mass (r2 = 21%;P < 0.01). Novariables were related to postprandial energy expenditure or substrate oxidation. We conclude that in middle-aged, premenopausal women, variation in resting energy expenditure and substrate oxidation is primarily explained by fat-free mass and serum leptin levels. Thus, changes in metabolically active tissue mass or leptin concentration may partially contribute to changes in resting energy expenditure or substrate oxidation in middle-aged women.

Adult↗
PubMed2000

Aerobic fitness, not energy expenditure, influences subsequent increase in adiposity in black and white children.

BACKGROUND: Low levels of energy expenditure and aerobic fitness have been hypothesized to be risk factors for obesity. Longitudinal studies to determine whether energy expenditure influences weight gain in whites have provided conflicting results. To date, no studies have examined this relationship in blacks or whether aerobic fitness influences weight gain in white or black children. METHODS: One hundred fifteen children, 72 white (55 girls and 17 boys) and 43 black (24 girls and 19 boys) were recruited for this study. Aerobic fitness, resting, total, and activity-related energy expenditure and body composition were measured at baseline. The children returned annually for 3 to 5 repeated measures of body composition. The influence of the initial measures of energy expenditure and fitness on the subsequent rate of increase in adiposity was examined, adjusting for initial body composition, age, ethnicity, gender, and Tanner stage. Because 20 children did not attain maximum oxygen consumption, the sample size for the combined analysis was 95. RESULTS: Initial fat mass was the main predictor of increasing adiposity in this cohort of children, with greater initial fat predicting a higher rate of increase of adiposity. There was also a significant negative relationship between aerobic fitness and the rate of increasing adiposity (F(1,82) = 3.92). With every increase of.1 L/minute of fitness, there was a decrease of.081 kg fat per kg of lean mass gained. None of the measures of energy expenditure significantly predicted increasing adiposity in white or black children. CONCLUSIONS: Initial fat mass was the dominant factor influencing increasing adiposity; however, aerobic fitness was also a significant independent predictor of increasing adiposity in this cohort of children. Resting, total, or activity-related energy expenditure did not predict increasing adiposity. It seems that aerobic fitness may be more important than absolute energy expenditure in the development of obesity in white or black children. energy expenditure, fitness, longitudinal, obesity.

Adipose Tissue↗
PubMed2006

Projecting future drug expenditures--2006.

PURPOSE: Drug expenditure trends in 2004 and 2005, projected drug expenditures for 2006, and factors likely to influence drug costs are discussed. SUMMARY: Various factors are likely to affect drug costs, including drug prices, drugs in development, and generic drugs. In 2004 there was a continued moderation of the increase in drug expenditures. Drug expenditures increased by 8.7% from 2003 to 2004. Through the first nine months of 2005, expenditures increased by only 8.1% compared with 2004. This moderation can be attributed to several factors, including the continued trend toward higher prescription drug cost sharing for insured consumers, growing availability of generic drugs, and lack of "blockbuster" new drugs in recent years. Drug expenditures in 2006 will likely be influenced by similar factors, with few costly new products reaching the market, increased concern over product safety slowing the diffusion of those new agents that do reach the market, and several important patent expirations, leading to slower growth in expenditures. CONCLUSION: Forecasting and managing rising drug expenditures remains a challenge. Pharmacy managers must remain vigilant in monitoring drug costs in their health system and take a proactive role in pursuing efficient drug utilization. The dynamic health policy environment further complicates drug budgeting and must be considered, especially in integrated health systems responsible for managing inpatient, outpatient, and clinic drug costs. The comparison of health-system-specific data and trends with the national information presented in this article may provide a useful context when presenting institutional drug costs to senior management.

Biomedical Research↗
PubMed1998

The effect of changes in treatment patterns on drug expenditure.

This paper investigates the effects of changes in drug therapy on drug expenditure in Sweden between 1990 and 1995. Analyses have been carried out for both the aggregate drug expenditure and for drug expenditure according to the main groups of the Anatomical Therapeutic Chemical (ATC) classification system. Changes in expenditure can be divided into 3 components: the price of drugs, the quantity of drugs consumed and a residual. The size of the residual is a measure of the effect of changes in drug treatment patterns on drug expenditure. The aggregate real drug expenditure increased by 50% between 1990 and 1995. The relative retail price index of drugs decreased by 9% and the quantity index measured in terms of defined daily doses increased by 27%. The remaining residual increased by 30%. This implies that, if the residual had been unchanged during the study period, the aggregate expenditure would have increased by only 15%. The results also show that the size of the residual varies substantially across different ATC groups. The increase in the residual was largest for drugs that affect the nervous system (ATC group N); the residual increased by 86%. From the observed changes in residual values, it can be concluded that the underlying factor responsible for the increase in drug expenditure in Sweden is changes in drug therapy from less expensive to more expensive drugs.

Drug Costs↗
PubMed1999

[The effect of partial refeeding on serum levels of leptin and resting energy expenditure in female patients with anorexia nervosa].

BACKGROUND: Serum leptin levels and resting energy expenditure are significantly decreased in patients with anorexia nervosa compared to healthy subjects. Partial realimentation of patients with anorexia nervosa increases both these parameters. However, there so far are no data concerning the relationship of serum leptin levels and resting energy expenditure in patients with anorexia nervosa. The aim of our study was to follow the relationship of serum leptin levels and resting energy expenditure in patients with anorexia nervosa before and after refeeding. METHODS AND RESULTS: It was found that serum leptin levels in patients with anorexia nervosa both before and after partial realimentation were significantly lower compared to healthy subjects (0.86 +/- 0.9 ng.ml-1 and 1.77 +/- 1.9 ng.ml-1 vs 6.85 +/- 3.0 ng.ml-1, p < 0.05). The total resting energy expenditure in patients with anorexia nervosa both before and after realimentation were significantly lower than in the control group (4973 +/- 979 and 5263 +/- 899 vs 6401 +/- 827 kJ/day, p < 0.05). When expressed per body weight the resting energy expenditure in patients with anorexia nervosa was significantly higher in comparison with the control group (122.3 +/- 20.6 and 121.5 +/- 14.2 vs 104.2 +/- 14.6 kJ/day, p < 0.05). The differences in resting energy expenditure in patients with anorexia nervosa before and after refeeding did not reach statistical significance. The body mass and the body fat content increased significantly after realimentation index (14.5 +/- 1.4 vs 15.6 +/- 1.5 kg.(m2)-1 and 14.9 +/- 3.4 vs 16.6 +/- 3.7, p < 0.05) but remained still below of those of control group (BMI 22.3 +/- 2.7, body fat content 26.9 +/- 4.2). CONCLUSIONS: Our study confirmed the reduced serum leptin levels and the total resting energy expenditure in patients with anorexia nervosa compared to healthy age-matched subjects. No statistically significant relationships were found between serum leptin levels and resting energy expenditure either in healthy subjects or in patients with anorexia nervosa before or after partial realimentation respectively.

Adolescent↗