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To test the hypothesis that total energy expenditure (TEE) and resting energy expenditure (REE) are low in extremely obese individuals, factors that could contribute to maintenance of excess weight, a cross-sectional study was conducted in 30 weight stable, extremely obese women [BMI (mean [+ or -] SEM) 48.9 [+ or -] 1.7 kg/[m.sup.2]]. TEE was measured over 14 d using the doubly labeled water method, REE and the thermic effect of feeding (IEF) were measured using indirect calorimetry, and activity energy expenditure (AEE) was calculated as TEE--(REE + TEF). Body composition was determined using a 3-compartment model. Subjects were divided into tertiles of BMI (37.5-45.0; 45.1-52.0; and 52.1-77.0 kg/[m.sup.2]) for data analysis. TEE and REE increased with increasing BMI tertile: TEE, 12.80 [+ or -] 0.5, 14.67 [+ or -] 0.5, and 16.10 [+ or -] 0.9 MJ/d (P < 0.01); REE, 7.87 [+ or -] 0.2, 8.78 [+ or -] 0.3, and 9.94 [+ or -] 0.6 MJ/d (P < 0.001), and these values were 29-38% higher than published means of measured TEE in nonobese individuals. No significant differences were observed among BMI tertiles for AEE, TEF, or physical activity level (PAL = TEE/REE, overall mean 1.64 [+ or -] 0.16). The Harris-Benedict and WHO equations provided the closest estimates of REE (within 3%), whereas the obese-specific equations of Ireton-Jones overpredicted (40%) and Bernstein underpredicted (21%) REE. Extremely obese individuals have high absolute values for TEE and REE, indicating that excess energy intake contributes to the maintenance of excess weight. Standard equations developed for nonobese populations provided the most accurate estimates of REE for the obese individuals studied here. REE was not accurately predicted by equations developed in obese populations. J. Nutr. 134: 1412-1416, 2004. KEY WORDS: * extreme obesity * energy expenditure * fat-free mass * prediction equations

To update evidence-based best practice guidelines for coding and reimbursement and establish policy and access standards for weight loss surgery (WLS). Systematic search of English-language literature on WLS and health-care policy, access, insurance reimbursement, coding, private payers, public policy, and mandated benefits published between April 2004 and May 2007 in MEDLINE, EMBASE, and the Cochrane Library. Use of key words to narrow the search for a selective review of abstracts, retrieval of full articles, and grading of evidence according to systems used in established evidence-based models. We identified 51 publications in our literature search; the 20 most relevant were examined in detail. These included reviews, cost–benefit analyses, and trend and cost studies from administrative databases. Literature on policy issues surrounding WLS are very sparse and largely focused on economic analyses. Reports on policy initiatives in the public and private arenas are primarily limited to narrative reviews of nonsurgical efforts to fight obesity. A substantial body of work shows that WLS improves or reverses most obesity-related comorbidities. Mounting evidence also indicates that WLS confers a significant survival advantage for those who undergo it. WLS is a viable and cost-effective treatment for an increasingly common disease, and policy decisions are more frequently being linked to incentives for national health-care goals. However, access to WLS often varies by payer and region. Currently, there are no uniform criteria for determining patient appropriateness for surgery.Obesity (2009) 17 5, 918–923. doi:10.1038/oby.2008.573 [ABSTRACT FROM AUTHOR]

It is estimated that 11% of births in developing counties are term Iow-birth-weight (LBW); however, there is limited information on the development of these infants. Our objectives were to determine the effect of psychosocial intervention on the development of LBW infants and to compare term LBW and normal-birth-weight (NBW) infants. Term LBW (n = 140) and NBW infants (n = 94) were enrolled from the main maternity hospital in Kingston, Jamaica. The LBW infants were randomly assigned to control or intervention comprising weekly home visits from birth to 8 wk and from 7 to 24 mo of age. Development was assessed at 15 and 24 mo with the Griffiths Scales. The intervention benefited the infants' developmental quotient (DQ, P < 0.05) and performance subscale at 15 mo (P < 0.02), the hand and eye (P < 0.05) and performance subscales (P < 0.02) at 24 mo, and home environment at 12 mo. The effect of the intervention on development was mediated in part by the improvement in the home environment. The control LBW infants had significantly lower scores than the NBW in DQ and several subscales, whereas there were no significant differences between the NBW and the LBW infants after intervention. In conclusion, term LBW was associated with developmental delays, which were reduced with psychosocial intervention. [ABSTRACT FROM AUTHOR]

Background: Little is known about the determinants of individual variability in body weight and fat loss after gastric bypass surgery or about the effects of massive weight loss induced by this surgery on energy requirements. Objectives: The objectives were to determine changes in energy expenditure and body composition with weight loss induced by gastric bypass surgery and to identify presurgery predictors of weight loss. Design: Thirty extremely obese women and men with a mean (±SD) age of 39.0 ± 9.6 y and a body mass index (BMI; in kg/m²) of 50.1 ± 9.3 were tested longitudinally under weight-stable conditions before surgery and after weight loss and stabilization (14±2 mo). Tdtal energy expenditure (TEE), resting energy expenditure (REE), body composition, and fasting leptin were measured. Results: Subjects lost 53.2 ± 22.2 kg body weight and had significant decreases in REE (-2.4 ± 1.0 MJ/d; P < 0.001) and TEE (-3.6 ± 2.5 MJ/d; P < 0.001). Changes in REE were predicted by changes in fat-free mass and fat mass. The average physical activity level (TEE/REE) was 1.61 at both baseline and follow-up (P = 0.98). Weight loss was predicted by baseline fat mass and BMI but not by any energy expenditure variable or leptin. Measured REE at follow-up was not significantly different from predicted REE. Conclusions: TEE and REE decreased by 25% on average after massive weight loss induced by gastric bypass surgery. REE changes were predicted by loss of body tissue; thus, there was no significant long-term change in energy efficiency that would independently promote weight regain. [ABSTRACT FROM AUTHOR]

FBody composition methods were examined in 20 women [body mass index (BMI) 48.7 ± 8.8 kg/m²] before and after weight loss [-44.8 ± 14.6 (SD) kg] after gastric bypass (GBP) surgery. The reference method, a three-compartment (3C) model using body density by air displacement plethysmography and total body water (TBW) by H[sub 2][sup 18]0 dilution (3C-H[sub 2][sup 18]O), showed a decrease in percent body fat (%BF) from 51.4 to 34.6%. Fat-free mass hydration was significantly higher than the reference value (0.738) in extreme obesity (0.756; P < 0.001) but not after weight reduction (0.747; P = 0.16). %BF by H[sub 2][sup 18]O dilution and air displacement plethysmography differed significantly from %BF by 3C-H[sub 2][sup 18]O in extreme obesity (P < 0.05) and 3C models using ²H[sub 2]O or bioelectrical impedance analysis (BIA) to determine TBW improved mean %BF estimates over most other methods at both time points. BIA results varied with the equation used, but BIA better predicted %BF than did BMI at both time points. All methods except BIA using the Segal equation were comparable to the reference method for determining changes over time. A simple 3C model utilizing air displacement plethysmography and BIA is useful for clinical evaluation in this population. [ABSTRACT FROM AUTHOR]

The article examines issues that are of concern to primary care clinicians who seek the best outcomes for obese patients. Such issues include the assessment of body weight and health risks of obesity, patient counseling, dietary modifications for weight loss, pharmacologic agents, surgical referrals and long-term follow-up. Body mass index (BMI) can be calculated using charts and online calculators. At most levels of BMI, central fat distribution increases health risk. This fat distribution is estimated by waist circumference.

Objective: To assess the cost-effectiveness of laparoscopic adjustable gastric banding (LAGB) and laparoscopic Roux-en-Y gastric bypass (LRYGB) as treatment for morbid obesity., Study Design: A Markov model was developed to simulate weight loss, health consequences, and costs for surgical treatment of morbid obesity. The model was used to estimate incremental cost-effectiveness ratios (ICERs) in terms of cost per quality-adjusted life-year (QALY) gained., Methods: Estimates of procedure effectiveness were derived from published results of a head-to-head randomized controlled trial. Other model parameters, including complication rates, costs of treatment, adverse events and obesity, mortality rates, and utilities, were estimated from published literature and publicly available databases. Costs (2006 US dollars) and QALYs were discounted by 3% per annum., Results: Under conservative assumptions, both LAGB and LRYGB improved health outcomes, at a higher cost, compared with no treatment. ICERs for both LAGB and LRYGB versus no treatment were below $25,000 per QALY gained. ICERs were lower for individuals with higher initial body mass index and higher for older individuals. ICERs for men were generally higher than those of women. Sensitivity analyses showed these results to be robust to reasonable variation in model parameters and overall parameter uncertainty. Base-case ICERs for LRYGB versus LAGB were below $25,000 per QALY gained, but were highly sensitive to model assumptions., Conclusion: Both LAGB and LRYGB provide significant weight loss and are cost-effective compared with no treatment at conventionally accepted thresholds for medical interventions.

Objective: To evaluate the private third-party payer return on investment for bariatric surgery the United States., Study Design: Morbidly obese patients aged 18 years or older were identified in an employer claims database of more than 5 million beneficiaries (1999-2005) using International Classification of Diseases, Ninth Revision, Clinical Modification code 278.01. Each of 3651 patients who underwent bariatric surgery during this period was matched to a control subject who was morbidly obese and never underwent bariatric surgery. Bariatric surgery patients and controls were matched based on patient demographics, selected comorbidities, and costs., Methods: Total healthcare costs for bariatric surgery patients and their controls were recorded for 6 months before surgery through the end their continuous enrollment. To account for potential differences in patient characteristics, we calculated the cost differential by estimating a Tobit model. A return on investment was estimated from the resulting coefficients. Costs were inflation adjusted to 2005 US dollars using the Consumer Price Index for Medical Care, and the cost savings were discounted by 3.07%, the month Treasury bill rate during the same period., Results: The mean bariatric surgery investment ranged from approximately $17,000 to $26,000. After controlling for observable patient characteristics, we estimated all costs to have been recouped within 2 years for laparoscopic surgery patients and within 4 years for open surgery patients., Conclusions: Downstream savings associated with bariatric surgery are estimated to offset the initial costs in 2 to 4 years. Randomized or quasiexperimental studies would be useful to confirm this conclusion, as unobserved characteristics may influence the decision to undergo surgery and cannot be controlled for in this analysis.

Body composition methods were examined in 20 women [body mass index (BMI) 48.7 +/- 8.8 kg/m(2)] before and after weight loss [-44.8 +/- 14.6 (SD) kg] after gastric bypass (GBP) surgery. The reference method, a three-compartment (3C) model using body density by air displacement plethysmography and total body water (TBW) by H(2)18O dilution (3C-H(2)18O), showed a decrease in percent body fat (%BF) from 51.4 to 34.6%. Fat-free mass hydration was significantly higher than the reference value (0.738) in extreme obesity (0.756; P < 0.001) but not after weight reduction (0.747; P = 0.16). %BF by H(2)18O dilution and air displacement plethysmography differed significantly from %BF by 3C-H(2)18O in extreme obesity (P < 0.05) and 3C models using (2)H(2)O or bioelectrical impedance analysis (BIA) to determine TBW improved mean %BF estimates over most other methods at both time points. BIA results varied with the equation used, but BIA better predicted %BF than did BMI at both time points. All methods except BIA using the Segal equation were comparable to the reference method for determining changes over time. A simple 3C model utilizing air displacement plethysmography and BIA is useful for clinical evaluation in this population.