Acute Administration of Phenylpropanolamine Fails to Affect Resting Energy Expenditure in Men of Normal Weight

RUSHING, PA, SE WINDERS, SL WATSON, RC KLESGES. Acute administration of phenylpropanolamine fails to affect resting energy expenditure in men of normal weight. Studies have consistently found that dieters using over-the-counter weight control products containing phenylpropanolamine (PPA) are more successful at losing weight than those who do not. To explore the possibility that drug-induced metabolic changes contribute to weight loss associated with this compound, this study investigated the effects of PPA on resting metabolic rate in 20 healthy men of normal weight between the ages of 18 and 29. After the arrival of the subjects to the laboratory, blood pressure was taken and resting energy expenditure (REE) and respiratory quotient (RQ) were assessed for 20 minutes (Baseline) via indirect calorimetry. Half of the subjects were then given 75 mg of immediate-release PPA (administered orally via a gelatin capsule), while the other half received placebo. Immediately after drug administration, metabolic rate was measured for an additional 95 minutes (During Drug). After this assessment, blood pressure was again measured. Although significant increases in both systolic and diastolic blood pressure were observed after PPA administration, the drug had no effect on REE or RQ. These results, consistent with that previously reported in mildly overweight women, further establish that it is unlikely that drug-induced metabolic changes contribute to PPA-induced weight loss in humans.     

Resting Energy Expenditure: Systematic Organization and Critique of Prediction Methods

There are many published methods for predicting resting energy expenditure (REE) from measured body composition. Although these published reports extend back almost a century, new related studies appear on a regular basis. It remains unclear what the similarities and differences are among these various methods and what, if any, advantages the newly introduced REE prediction models offer. These issues led us to develop an organizational system for REE prediction methods with the goal of clarifying prevailing ambiguities in the field. Our classification scheme is founded on body composition level (whole‐body, tissue‐organ, cellular, and molecular) and related components as the REE predictor variables. Each existing REE prediction method by body composition must belong to one body composition level. The suggested classification system, founded on a conceptual basis, highlights similarities and differences among the diverse REE‐body composition prediction methods, provides a framework for teaching REE‐body composition relationships, and identifies important future research opportunities.     

Abnormalities of Energy Expenditure and the Development of Obesity

The role of energy expenditure in the development of obesity remains unclear. This issue is examined using data from prospective studies of energy expenditure and obesity, the effects of overfeeding and diet composition on energy expenditure, and studies of the relationship between energy expenditure for physical activity and body composition. The combined results from these investigations strongly support the view that low energy expenditure can facilitate rapid weight gain in susceptible individuals. It is speculated that, in susceptible individuals, low energy expenditure for resting energy expenditure as well as physical activity are part of a range of mechanisms available for providing surplus energy for rapid weight gain. In addition, both cross-sectional and intervention studies indicate that there is an equilibration between the level of energy expenditure for physical activity and body fat content. While genetic and other factors clearly play an important role in this relationship, it appears that a modest reduction in body fat content can be achieved by increasing energy expenditure for physical activity in physical exercise programs.     

Use of Very Low-Calorie Diet in Preoperative Weight Loss: Efficacy and Safety

PEKKARINEN, TUULA, PERTTI MUSTAJOKI. Use of very low-calorie diet in preoperative weight loss: Efficacy and Safety. We report the efficacy of a very low-calorie diet (VLCD)-based weight reduction program in patients with morbid obesity whose elective surgery had been postponed because of being overweight. The safety of weight loss on the immune system will also be evaluated. Thirty patients (mean age, 50 years; weight, 125 kg; BMI, 44 kg/m2) were treated. The program consisted of a 7-week to 24-week VLCD period, supported by individual sessions with a therapist, and of a refeeding period of 1 month before surgery. Two patients discontinued, and the mean weight loss of the remaining 28 patients was 19. 6 kg (15% of initial weight). In 23 patients, weight loss was 10% or more of the initial weight. After weight loss, 15 patients underwent surgery, 4 patients did not need an operation, and the remaining 9 patients were not operated on for various reasons. The numbers of circulating leukocytes, neutrophils, basophils, monocytes, CD3+, CD4+, CD8+, and natural killer cells did not change significantly by the ninth week on VLCD or by the end of the program. However, there was a significant (p<0. 05) decrease in the immunoglobulinM serum concentration during the program. In conclusion, a VLCD program is suitable for preoperative weight reduction in morbid obesity and seems not to compromise the immune system.     

DXA: Potential for Creating a Metabolic Map of Organ-Tissue Resting Energy Expenditure Components

Objective: This study tested the hypothesis that tissue-organ components can be derived from DXA measurements, and in turn, resting energy expenditure (REE) can be calculated from the summed heat productions of DXA-estimated brain, skeletal muscle mass (SM), adipose tissue, bone, and residual mass (RM). Research Methods and Procedures: Subjects were divided into five groups of adults <50 years of age. The specific metabolic rate of RM was developed in 13 Group I healthy subjects and a DXA-brain mass prediction formula in 52 Group II subjects. SM, adipose tissue, and bone models were developed based on earlier reports. The composite REE prediction model (REEp) was tested in 154 Group III subjects in whom REEp was compared with measured REE (REEm). Features of the developed model were determined in 94 normal-weight men and women (Group IV) and seven spinal cord injury patients and healthy matched controls (Group V). Results: REEp and REEm in Group III were highly correlated (y = 0.85x + 233; r = 0.82, p < 0.001), and no bias was detected. Both REEm (mean ± SD, 1579 ± 324 kcal/d) and REEp (1585 ± 316 kcal/d) were also highly correlated (r values = 0.85 to 0.98; p values < 0.001) and provided similar group values to REE estimated by the Harris-Benedict equations (1597 ± 279 kcal/d) and Wang's composite fat-free mass–based REE equation (1547 ± 248 kcal/d). New insights into the sources and distribution of REE were provided by analysis of the demonstration groups. Discussion: This approach offers a new practical and educational opportunity to examine REE in subject groups using modeling strategies that reveal the magnitude and distribution of fundamental somatic heat-producing units.     

Increased Postprandial Energy Expenditure May Explain Superior Long Term Weight Loss after Roux-en-Y Gastric Bypass Compared to Vertical Banded Gastroplasty

Background and Aims

Gastric bypass results in greater weight loss than Vertical banded gastroplasty (VBG), but the underlying mechanisms remain unclear. In addition to effects on energy intake the two bariatric techniques may differentially influence energy expenditure (EE). Gastric bypass in rats increases postprandial EE enough to result in elevated EE over 24 hours. This study aimed to investigate alterations in postprandial EE after gastric bypass and VBG in humans.

Methods

Fourteen women from a randomized clinical trial between gastric bypass (n = 7) and VBG (n = 7) were included. Nine years postoperatively and at weight stability patients were assessed for body composition and calorie intake. EE was measured using indirect calorimetry in a respiratory chamber over 24 hours and focused on the periods surrounding meals and sleep. Blood samples were analysed for postprandial gut hormone responses.

Results

Groups did not differ regarding body composition or food intake either preoperatively or at study visit. Gastric bypass patients had higher EE postprandially (p = 0.018) and over 24 hours (p = 0.048) compared to VBG patients. Postprandial peptide YY (PYY) and glucagon like peptide 1 (GLP-1) levels were higher after gastric bypass (both p<0.001).

Conclusions

Gastric bypass patients have greater meal induced EE and total 24 hours EE compared to VBG patients when assessed 9 years postoperatively. Postprandial satiety gut hormone responses were exaggerated after gastric bypass compared to VBG. Long-term weight loss maintenance may require significant changes in several physiological mechanisms which will be important to understand if non-surgical approaches are to mimic the effects of bariatric surgery.     

Effect of Diet Composition and Weight Loss on Resting Energy Expenditure in the POUNDS LOST Study

Weight loss reduces energy expenditure, but it is unclear whether dietary macronutrient composition affects this reduction. We hypothesized that energy expenditure might be modulated by macronutrient composition of the diet. The Prevention of Obesity Using Novel Dietary Strategies (POUNDS) LOST study, a prospective, randomized controlled trial in 811 overweight/obese people who were randomized in a 2 × 2 design to diets containing 20en% or 40en% fat and 15en% or 25en% protein (diets with 65%, 55%, 45%, and 35% carbohydrate) provided the data to test this hypothesis. Resting energy expenditure (REE) was measured at baseline, 6, and 24 months using a ventilated hood. REE declined at 6 months by 99.5 ± 8.0 kcal/day in men and 55.2 ± 10.6 kcal/day in women during the first 6 months. This decline was related to the weight loss, and there was no difference between the diets. REE had returned to baseline by 24 months, but body weight was still 60% below baseline. Measured REE at 6 months was significantly lower than the predicted (?18.2 ± 6.7 kcal/day) and was the result of significant reductions from baseline in the low‐fat diets (65% or 55% carbohydrate), but not in the high fat diet groups. By 24 months the difference had reversed with measured REE being slightly but significantly higher than predicted (21.8 ± 10.1 kcal/day). In conclusion, we found that REE fell significantly after weight loss but was not related to diet composition. Adaptive thermogenesis was evident at 6 months, but not at 24 months.     

Greater Than Predicted Decrease in Resting Energy Expenditure and Weight Loss: Results From a Systematic Review

Changes in resting energy expenditure (EE) during weight loss are said to be greater than what can be expected from changes of body mass, i.e., fat mass (FM) and fat‐free mass (FFM) but controversy persists. The primary focus of this study was to investigate whether there is a greater than predicted decrease in resting EE during weight loss in a large sample size through a systematic review. The study data were weighted and a partial residual plot followed by a multiple regression analysis was performed to determine whether FM and FFM can predict the changes of resting EE after weight loss. Another subgroup of studies from which all necessary information was available was analyzed and compared against the Harris—Benedict (HB) prediction equation to determine whether the changes in resting EE were greater than what was expected. Subjects lost 9.4 ± 5.5 kg (P < 0.01) with a mean resting EE decline of 126.4 ± 78.1 kcal/day (P < 0.01). Changes in FM and FFM explained 76.5% and 79.3% of the variance seen in absolute resting EE at baseline and post‐weight loss, respectively (P < 0.01). Analysis of the 1,450 subject subgroup indicated an ～29.1% greater than predicted decrease in resting EE when compared to the HB prediction equation (P < 0.01). This analysis does not support the notion of a greater than predicted decrease in resting EE after weight loss.     

Variation in Total Energy Expenditure in Humans

The purpose of this paper is to review current data regarding the factors contributing to variability in total energy expenditure (TEE) among humans. Variation arising from within and between individuals and between study groups will be considered. For within- subject variation, issues relating to experimental and theoretical measurement error will be considered in addition to inherent physiological variation. The literature reporting TEE in various study groups is reviewed, highlighting deficiencies in current comparison methods, and a framework by which TEE can be compared between studies and populations is suggested. For between-subject variation, the effects of differences in body composition, obesity, age and gender upon variation in TEE are examined. Finally, data will be reviewed relating to changes in TEE in response to external manipulation (e.g., activity, overfeeding, stress).     

Resting Energy Expenditure in Obese African American and Caucasian Women

The prevalence of obesity among African American women approaches 50% and greatly exceeds rates for Caucasian women. In addition, black women lose less weight than white during obesity treatment and gain more weight when untreated. This study assessed resting energy expenditure (REE) and body composition in obese white (n=122) and black (n=44) women to explore the relationship between biological variables and these observed differences. REE and body composition were assessed by indirect calorimetry and densitometry, respectively, before weight loss. REE was significantly lower in black subjects (1637.6 ± 236.9 kcal/d) than in white (1731.4 ± 262.0) (p=0.04). REE remained significantly lower in blacks than whites after adjusting for body weight (p=0.02). REE, adjusted for fat-free mass, was also significantly lower in blacks than whites (p<0.0001), although the overestimation of fat-free mass by densitometry in blacks may have contributed to this finding. There were no differences between the groups in respiratory quotient. These results suggest that a decreased REE may exist in obese black women, and it may be related to the observed differences between black and white women in the prevalence of obesity and in the response to weight loss treatment. These crosssectional findings await confirmation in longitudinal studies.     

The Efficacy of Dietary Fat Vs. Total Energy Restriction for Weight Loss

Objective : Dietary fat restriction is currently being promoted as a weight loss strategy. However, previous investigations suggest that fat restriction alone may not be more beneficial than total energy restriction for the treatment of obesity. The purpose of this project was to assess whether an energy-restricted or fat-restricted diet was more effective at promoting weight loss, improving eating behaviors, and reducing barriers to dietary adherence. Research Methods and Procedures : Eighty individuals (15 men and 65 women) were randomized into the two treatment conditions. Subjects were 120% to 140% of ideal body weight and 25 years to 45 years old. Treatment consisted of 24 weeks of dietary fat (22 g/day to 26 g/day) or energy restriction (4,186 kJ/day to 5,023 kJ/day), including behavior modification and exercise. Body weight change, dietary intake, eating behaviors, and barriers to adherence were measured at baseline and after treatment. Results : Results show that subjects in the energy-restricted condition lost over twice as much weight as those in the fat-restricted group (11.5 kg vs. 5.2 kg). Additionally, subjects in the low-energy condition had greater improvements in eating behavior scores, enhanced feelings of wellness, a greater distaste for dietary fat, and no more pronounced feelings of deprivation than did those in the fat-restricted condition. Discussion : An energy-restricted diet produces greater short-term weight loss than dietary fat restriction without many of the negative consequences commonly attributed to reducing energy intake.     

Regulation of Lipolysis and Lipoprotein Lipase after Weight Loss in Obese,Postmenopausal Women

Objective: To test the hypothesis that the greater β‐adrenoceptor (β‐AR)‐stimulated lipolysis and sensitivity (half‐maximal lipolytic response) in abdominal (ABD) adipocytes, greater gluteal (GLT) adipose tissue‐lipoprotein lipase (AT‐LPL) activity, and dyslipidemia associated with obesity in older women are modifiable by weight loss (WL) and are not due to menopause or aging. Research Methods and Procedures: The metabolic effects of 6 months of hypocaloric diet and low‐intensity walking WL program on the regional regulation of in vitro lipolysis and AT‐LPL activity in subcutaneous ABD and GLT adipocytes were measured in 34 obese (48.7 ± 0.7% body fat, mean ± SE) postmenopausal (59 ± 1 years) white women. Results: The lipolytic responsiveness to the β‐AR agonist isoproterenol and basal lipolysis in the presence of 1 U/mL adenosine deaminase‐uninhibited (lipolysis) were greater (p < 0.01) in ABD than GLT adipocytes before and after WL, but there were no regional differences in postreceptor (dibutyryl 3′, 5′‐cyclic adenosine monophosphate)‐stimulated lipolysis. β‐AR sensitivity was greater in ABD than GLT adipocytes before (p < 0.01) but not after WL. Regional AT‐LPL did not change after WL, but the change in the activity of ABD (but not GLT) AT‐LPL correlated with the baseline adenosine deaminase‐uninhibited lipolysis (r = 0.38, p = 0.03). There were no relationships between the declines in plasma triglyceride or increases in high‐density lipoprotein cholesterol associated with WL and the changes in regional fat cell metabolism. Discussion: Thus, despite improving lipoprotein lipid profiles in obese, postmenopausal women, WL does not affect the regulation of regional fat metabolism, and a greater tonic inhibition of basal lipolysis by endogenous adenosine may increase the activity of AT‐LPL after WL and predispose older women to develop ABD adiposity.     

Effects of Sibutramine on Resting Metabolic Rate and Weight Loss in Overweight Women

Sibutramine, a monoamine re-uptake inhibitor, has recently been approved by the Food and Drug Administration as a weight loss agent. Sibutramine lowers body-weight in rodents by reducing energy intake and increasing energy expenditure. Sibutramine facilitates weight loss in human subjects, but it is not clear whether it acts on energy intake, energy expenditure, or both. The present study was a randomized clinical trial designed to assess the effects of sibutramine (at 10 or 30 mg/day) on body weight and resting metabolic rate (RMR). Forty-four overweight women were randomized to 1) placebo (n=15); 2) sibutramine at 10 mg/day (n=15) or, 3) sibutramine at 30 mg/day (n=14). All subjects were instructed to consume a 1200 kcal/day diet for 8 weeks while receiving drug or placebo. RMR was assessed by indirect calorimetry at baseline, at 3 hours after the first dose of drug (or placebo), and at the end of the 8-week weight-loss period. Sibutramine reduced body weight-relative to placebo, but there was no difference between weight loss on the two sibutramine doses. No significant differences in RMR between sibutramine and placebo were seen, either 3-hour post dose or after the 8-week weight-loss period. After the weight loss period, all groups were taken off medication and kept weight stable for another 4 weeks. RMR was measured again and was not different among groups. That there was no change in RMR when sibutramine was stopped further suggests that the drug does not directly affect RMR. In summary, while sibutramine was shown to be an effective weightloss agent over 8 weeks, we found no evidence that it increased RMR.     

Maintenance of Weight Loss: A Needs Assessment

This study identified facilitators and obstacles to maintenance of weight loss following a very-low-calorie-diet and behavior modification program. A survey was mailed to a random sample of 178 program completers and received a 61% response rate; the most frequent follow-up period was more than 2 years. Twenty-nine percent reported weighing the same (within 10 lbs) or less than the end of their participation in the treatment program (maintainers), while 71% reported their present weight was a mean of 65% higher than their initial weight loss (regainers). Maintainers were significantly more likely to report engaging in regular aerobic exercise, attending a maintenance support group, and confidence in their ability to manage their weight in the future, while regainers were more likely to report stress and motivation as frequent weight management obstacles. Respondents consistently identified the need for low/no cost ongoing support. Maintainers and relapsers reported similar challenges in managing their weight, yet with different results, suggesting the need to identify subgroups for which different post-treatment support options could be applied.     

The Val103Ile Polymorphism of Melanocortin‐4 Receptor Regulates Energy Expenditure and Weight Gain

Objective: The melanocortin‐4 receptor (MC4R) regulates energy intake. On the basis of animal studies, it may also regulate energy expenditure. Research Methods and Procedures: The effect of the Val103Ile polymorphism of the MC4R gene on energy metabolism was studied in 229 middle‐aged nondiabetic subjects (Group 1, age 51.2 ± 9.8 years, BMI 26.8 ± 4.5 kg/m²) and on weight gain in 1013 elderly subjects (Group 2, age 69.9 ± 2.9 years, BMI 27.4 ± 4.1 kg/m²) during a 3.5‐year follow‐up study. In Group 1, insulin sensitivity, energy expenditure, and substrate oxidation were measured with the hyperinsulinemic euglycemic clamp combined with indirect calorimetry. Results: In Group 1, the Val103Ile genotype was associated with high rates of energy expenditure (63.42 ± 13.40 in eight subjects with the Val103Ile genotype vs. 59.86 ± 7.33 J/kg per minute in 221 subjects with the Val103Val genotype, p = 0.007), high rates of glucose oxidation (8.90 ± 6.15 vs. 6.07 ± 4.38 μmol/kg per minute, p = 0.020), and low levels of free fatty acids (0.45 ± 0.18 vs. 0.56 ± 0.23 mM, p = 0.029) in the fasting state, and with high rates of glucose oxidation during the clamp (18.88 ± 4.63 vs. 17.60 ± 3.24 μmol/kg per minute, p = 0.031). In Group 2, the 103Ile allele was associated with an increase in weight gain during the follow‐up (0.78 ± 3.98 vs. ?0.82 ± 3.98 kg, p = 0.038). Discussion: The Val103Ile polymorphism of the MC4R gene is associated with energy expenditure in humans. Furthermore, it may associate with glucose oxidation, free fatty acid levels, and weight gain.     

Do Psychosocial Variables Predict Weight Loss or Mental Health after Obesity Surgery? A Systematic Review

Objective: The objective of this study was to present a systematic review of psychological and psychosocial predictors of weight loss and mental health after bariatric surgery. This systematic review included all controlled and noncontrolled trials of the last 2 decades with either a retrospective or prospective design and a follow‐up period of at least 1 year. Research Methods and Procedures: The relevant literature was identified by a search of computerized databases. All articles published in English and German between 1980 and 2002 were reviewed. Results: Using the above inclusion/exclusion criteria, 29 articles were identified focusing on psychosocial predictors of weight loss and mental health after obesity surgery. Discussion: Personality traits have no predictive value for the postoperative course of weight or mental state. Apart from serious psychiatric disorders including personality disorders, psychiatric comorbidity seems to be of more predictive value for mental and physical well‐being as two essential aspects of quality of life than for weight loss postsurgery. However, depressive and anxiety symptoms as correlates of psychological stress with regard to obesity seem to be positive predictors of weight loss postsurgery. The severity of the symptoms or the disorder is more relevant for the outcome of obesity surgery than the specificity of the symptoms. It is also not solely the consumption of distinct “forbidden” foods, such as sweets or soft drinks, but rather a general hypercaloric eating behavior, either as an expression of the patient's inadequate compliance or a dysregulation in energy balance, which is associated with a poor weight loss postsurgery.     

FGF21对能量代谢的调控

成纤维细胞生长因子21（fibroblast growth factor 21,FGF21）作为一种不依赖胰岛素的血糖调节因子,目前已被看做是治疗2型糖尿病的一个潜在的新型治疗因素.大量鼠类及灵长类动物模型的实验结果显示：FGF21可通过作用于脂肪组织及胰腺来降低血糖和甘油三酯含量,从而预防饮食诱导的肥胖及胰岛素抵抗.此外,FGF21也被证明可作为一种主要的内源性调控子,在禁食和酮症时起着关键的调控作用.然而,一些临床观察实验的结果表明,临床观察实验与动物模型实验之间虽然具有一定的相似性,但也存在很多不同,因而目前FGF21在人体中的生理学作用仍不明确.     

Chronic Application of MTII in a Rat Model of Obesity Results in Sustained Weight Loss

Objective: To examine the effects of a cafeteria diet and a chronic treatment with melanocortin agonist (MTII) on mature weight-stable female rats. Research Methods and Procedures: Ex-breeder Chbb:Thom rats (350 to 400 g) were divided into two groups: highly palatable food (HPF) and normal rat chow (RC). Both groups had ab libitum access to rat chow. The HPF group had access to chocolate bars, cookies, cheese, and nuts (∼20 g/d). After 21 days, the rats in each group were then divided into control and treated groups. Mini-pumps delivering saline or MTII (1 mg/kg per day) for minimally 28 days were implanted. Oxygen consumption was measured for 17 days in a second group of rats implanted with mini-pumps containing MTII (1 mg/kg per day) or saline. Results: HPF rats ate less (<50%) rat chow than RC rats. After 20 days, the HPF group had reached a plateau and weighed significantly more (p < 0.005) than the RC group (411.7 ± 9.3 g; n = 17 vs. 365.1 ± 9.4 g; n = 16). HPF rats and RC rats receiving MTII reduced their pellet intake and body weight in the initial 2 weeks of treatment (day 14, RC-saline: −1.6 ± 1.8 g; RC-MTII, −22.5 ± 3.7 g; HPF-saline, −7.1 ± 1.7 g; HPF-MTII, −30.7 ± 4.8 g). Subsequently, pellet intake returned to pre-implantation values, although body weights remained reduced in both HPF and RC groups. Oxygen consumption was increased in rats treated with MTII. Discussion: This suggests that MTII initially reduced body weight by limiting food intake; however, maintenance of weight is most likely due to increased energy expenditure under conditions of normal and highly palatable diets in mature animals.     

Low Resting and Sleeping Energy Expenditure and Fat Use Do Not Contribute to Obesity in Women

Objective: Determine whether sleeping and resting energy expenditure and sleeping, resting, and 24‐hour fuel use distinguish obesity‐prone from obesity‐resistant women and whether these metabolic factors explain long‐term weight gain. Research Methods and Procedures: Forty‐nine previously overweight but currently normal‐weight women were compared with 49 never‐overweight controls. To date, 87% of the 98 women have been re‐evaluated after 1 year of follow‐up, without intervention, and 38% after 2 years. Subjects were studied at a General Clinical Research Center after 4 weeks of tightly controlled conditions of energy balance and macronutrient intake. Forty‐nine obesity‐prone weight‐reduced women were group‐matched with 49 never‐overweight obesity‐resistant controls. All were premenopausal, sedentary, and normoglycemic. Energy expenditure and fuel use were assessed using chamber calorimetry. Body composition was assessed using DXA. Results: At baseline, percent body fat was not different between the obesity‐prone and control women (33 ± 4% vs. 32 ± 5%, respectively; p = 0.22). Analysis of covariance results show that after adjusting for lean and fat mass, sleeping and resting energy expenditure of obesity‐prone women was within 2% of controls. Neither sleeping nor resting energy expenditure nor sleeping, resting, or 24‐hour fuel use was significantly different between the groups (p > 0.25). None of the metabolic variables contributed significantly to patterns of weight gain at 1 or 2 years of follow‐up. Discussion: The results suggest that when resting and sleeping energy expenditure and fuel use are assessed under tightly controlled conditions, these metabolic factors do not distinguish obesity‐prone from obesity‐resistant women or explain long‐term weight changes.     

Development and Validation of a Measurement System for Assessment of Energy Expenditure and Physical Activity in Prader-Willi Syndrome

CHEN, KONG Y., MING SUN, MERLIN G. BUTLER, TRAVIS THOMPSON, AND MICHAEL G. CARLSON. Development and validation of a measurement system for assessment of energy expenditure and physical activity in Prader—Willi syndrome. Obes Res. Objective: The morbid obesity associated with Prader—Willi syndrome (PWS) may result from either excessive energy intake or reduced energy expenditure (EE). In this report, we describe the development and validation of an Activity—Energy Measurement System (AEMS) to measure EE and physical activity components in an environment approximating free-living conditions. Research Methods and Procedures: The AEMS consists of a live-in, whole-room indirect calorimeter equipped with a novel force platform floor system to enable simultaneous measurements of EE, physical activity, and work efficiency during spontaneous activities and standardized exercises. Free-living physical activity and estimated free-living EE are measured using portable triaxial accelerometers individually calibrated in each subject during their stay in the AEMS. Results: Representative data from two PWS patients and two matched control (CTR) subjects displayed EE during their inactive lifestyles. Discussion: This combination of methods will allow the quantification of daily EE and its components, the amount and energy cost of physical activity, and the relationships between body composition and EE, in order to determine their roles in the development and maintenance of the morbid obesity in PWS.