Insulin Sensitivity as a Predictor of Weight Regain

A recent study found that increases in insulin sensitivity following weight loss and stabilization were strongly related to subsequent weight regain. The present paper analyzed this relationship in two behavioral weight-loss programs. In the first study, 125 nondiabetic subjects were followed over 30 months; weight losses averaged 10 kg at six months, and subjects had regained 8 kg of their weight loss by their 30-month follow-up. Neither fasting insulin levels at six months nor changes in fasting insulin from zero to six months were related to subsequent weight regain. Similarly, insulin levels measured two hours after a 75 g glucose load were unrelated to subsequent weight regain. The second study followed 33 individuals with Type II diabetes, treated with behavior modification, and either a low calorie diet or a very low calorie diet. Weight losses averaged 18 kg at six months, and subjects had regained 10 kg by their 24-month follow-up. The Bergman minimal model was used to assess insulin sensitivity at 6-month intervals. Initial analyses suggested that changes in insulin sensitivity from zero to six months were related to subsequent weight regain, but this effect was strongly influenced by an outlier. After removing this individual, there were no significant relationships between the changes in insulin sensitivity that accompanied weight loss and future weight regain. Likewise, insulin sensitivity at 12 months did not predict weight regain from 12 to 24 months. These data do not support the hypothesis that increases in insulin sensitivity with weight loss are associated with subsequent weight regain.     

Effect of Internet Support on the Long‐Term Maintenance of Weight Loss

Objective: To investigate the efficacy of an Internet weight maintenance program. Research Methods and Procedures: Two hundred fifty‐five healthy overweight and obese adults (mean ± SD BMI, 31.8 ± 4.1 kg/m²) men (18%; mean ± SD age, 45.8 ± 8.9 yrs) participated in a 6‐month behavioral weight control program conducted over interactive television. Treatment was followed by a 12‐month weight maintenance program with three conditions: frequent in‐person support (F‐IPS), minimal in‐person support (M‐IPS) and internet support (IS). Main outcome measures included body weight, program adherence, and social influence components. Results: There were no significant differences among the groups in weight loss (mean ± SD) from baseline to 18 months (7.6 ± 7.3 kg vs. 5.5 ± 8.9 kg vs. 5.1 ± 6.5 kg, p = 0.23 for the IS, M‐IPS, and F‐IPS, respectively). Discussion: Participants assigned to an internet‐based weight maintenance program sustained comparable weight loss over 18 months compared with individuals who continued to meet face‐to‐face. Therefore, the internet appears to be a viable medium for promoting long‐term weight maintenance.     

Sertraline and Relapse Prevention Training Following Treatment by Very-Low-Calorie Diet: A Controlled Clinical Trial

WADDEN, THOMAS A, SUSAN J BARTLETT, GARY D FOSTER, ROBERT A GREENSTEIN, BARBARA J WINGATE, ALBERT J STUNKARD AND KATHLEEN A LETIZIA. Sertraline and relapse prevention training following treatment by very-low-calorie diet: a controlled clinical trial. Obes Res. This study examined the combination of sertraline, a selective serotonin reuptake inhibitor, and relapse prevention training in the maintenance of weight loss following treatment by a very-low-calorie diet. A total of 53 women who had lost a mean (± SD) of 22.9 ± 7.1 kg from a pretreatment weight of 103.1 ± 17.8 kg were randomly assigned to a 54-week weight maintenance program that was combined with either: 1) 200 mg/d of sertraline; or 2) placebo. During the first 6 weeks, sertraline subjects lost significantly more weight and reported significantly greater reductions in hunger and preoccupation with food than did subjects on placebo. After this time, however, women in both conditions regained weight steadily. The 13 sertraline subjects who completed the 54-week study regained 17.7 ± 10.6 kg of their original 26.3 ± 7.6 kg loss, equal to a regain of 70.9 ± 41.7%. The 17 placebo completers regained 11.8 ± 9.0 kg of their 23.4 ± 7.8 kg loss, equal to a 46.5 ± 34.6% regain. End-of-treatment differences between groups in weight change were not statistically significant. Nor were there significant differences between the two conditions at any time in changes in fat-free mass, resting metabolic rate or dysphoria, all of which tended to increase with weight regain. The results are discussed in relation to findings from other long-term studies that combined diet and medication.     

Predictors of Weight Maintenance

PASMAN, WILRIKE J., WIM H.M. SARIS, AND MARGRIET S. WESTERTERP-PLANTENGA. Predictors of weight maintenance. Obes Res. 1999;7:43–50. Objective : To obtain predictors of weight maintenance after a weight-loss intervention. Research Methods and Procedures : An overall analysis of data from two-long intervention studies [n = 67 women; age: 37.9±1.0 years; body weight (BW): 87.0±1.2 kg; body mass index: 32.1±0.5 kg-m^?2; % body fat: 42.4±0.5%]. Subjects were measured before a very low energy diet (month 0), after the very low energy diet of 2 months (month 2) and after a 14-month follow-up phase (at 16 months), in which fiber or a carbohydrate-containing food supplement was supplied. The baseline measurements and the changes in parameters induced by the diet intervention were used to predict the changes in BW in the follow-up phase [ΔBW(2–16)]. Results : Multiple regression analysis revealed that 50% (p<0.71) of the variability in weight regain could be explained by pphysiological and behavioral factors. These were: frequency of previous dieting (r² = 0.27, p<0.05), hunger score (measured with the three-factor eating behavior questionnaire), and change in 24-hour resting metabolic rate (RMR). Frequent dieters showed significantly more weight regain than less frequent dieters (8.8±1.0 kg vs. 5.1 ±0.8 kg, p<0.01). Subjects having parents with obesity regained almost significantly more weight than subjects with lean parents (8.5±0.2 kg vs. 5.1±1.5 kg, respectively; p = 0.06). Discussion : Physiological (ΔRMR-24 hours) and behavioral factors (previous frequency of dieting and hunger score) predicted failure of weight maintenance and, as such, can be used to identify women who are at risk for weight regain.     

Weight loss maintenance following a primary care intervention for low-income minority women

Although the primary care setting offers an innovative option for weight loss interventions, there is minimal research examining this type of intervention with low-income minority women. Further, there is a lack of research on the long-term effects of these programs. The purpose of this investigation was to examine the weight loss maintenance of low-income African-American women participating in a primary care weight management intervention. A randomized controlled trial was conducted with overweight and obese women (N = 144) enrolled at two primary care clinics. Women received a 6-month tailored weight loss intervention delivered by their primary care physician and completed follow-up assessments 9, 12, and 18 months following randomization. The weight loss maintenance of the tailored intervention was compared to a standard care comparison group. The weight loss of intervention participants (-1.52 +/- 3.72 kg) was significantly greater than that of standard care participants (0.61 +/- 3.37 kg) at month 9 (P = 0.01). However, there was no difference between the groups at the 12-month or 18-month follow-ups. Participants receiving a tailored weight loss intervention from their physician were able to maintain their modest weight loss up to 3-6 months following treatment. Women demonstrated weight regain at the 18-month follow-up assessment, suggesting that more intensive follow-up in the primary care setting may be needed to obtain successful long-term weight loss maintenance.     

Cardiac Parasympathetic Activity Is Increased by Weight Loss in Healthy Obese Women

Objective: We studied the effect of weight reduction on cardiac parasympathetic activity (PSA) in obese women. We also studied the relationship between the changes of PSA, resting energy expenditure (REE), and major cardiovascular risk factors. Research Methods and Procedures: Changes of cardiac vagal tone, an index of PSA, REE, and major cardiovascular risk factors, were measured in 52 healthy obese women after a 6‐month weight reduction. Ten of the women were remeasured at 12 and 24 months. Cardiac vagal tone was assessed by a vagal tone monitor and REE by indirect calorimeter. Results: Cardiac vagal tone increased significantly (p = 0.046), averaging a 9.5% weight loss in 6 months. The vagal tone increased further with weight loss during the following 6 months, and thereafter, it declined with weight regain. The increase of cardiac vagal tone correlated significantly with decreases of body weight, fat mass, waist circumference, serum insulin, and heart rate. REE adjusted for fat‐free mass and age did not change with weight loss and was not related to cardiac vagal tone at any time‐point. Discussion: Cardiac PSA activity increases with weight loss in obese women. This increase may not be maintained long‐term if body weight is regained. The rise of cardiac PSA is correlated with decreases of body fat mass, abdominal fat, serum insulin, and heart rate. Cardiac PSA is not related to REE.     

Relationship of Co-Morbidities of Obesity to Weight Loss and Four-Year Weight Maintenance/Rebound

This study examined the effect of weight loss (separate from energy restriction) and weight maintenance/rebound over time on blood pressure, serum lipids, and body composition in 24 obese (mean 137% ideal body weight (IEW)) females with mild to moderate hypertension. Weight loss was induced under tightly controlled General Clinical Research Center conditions until each subject had lost at least 10 kg (mean 13 kg) and attained normal body weight (<120% IBW). After 4 years subjects returned for repeat evaluation. Weight changes were compared with 24 pair-matched normal weight controls who were also followed for 4 years. With weight loss, significant improvements were seen in standing mean arterial pressure (MAP), serum total cholesterol, low-density lipoprotein cholesterol, and triglycerides. Subjects regained 11 kg (87% of the weight lost) over the 4 year follow-up period while control subjects gained only 2 kg. Subjects who chose self-selected exercise gained less weight than nonexercisers (6 kg vs. 13 kg, P<0.05). With weight regain there were significant increases in standing and supine MAP, total cholesterol, and high-density lipoprotein (HDL) cholesterol. The amount of weight regained was significantly correlated with standing MAP (r=0.73), triglycerides (r=0.43), and HDL cholesterol (r=-0.47). The percentage fat of the weight regained was no greater than that of the weight previously lost. Weight loss, distinct from energy restriction, was associated with improvements in blood pressure and serum lipid levels. The ability to sustain these improvements in the co-morbidities of obesity was directly related to the persistence and magnitude of weight loss maintenance.     

Impact of Weight Loss and Regain on Quality of Life: Mirror Image or Differential Effect?

Objective: To compare the impact of weight regain and weight loss on health‐related quality of life. Research Methods and Procedures: Subjects were 122 (106 women, 16 men) overweight and obese participants in a weight reduction program (phentermine‐fenfluramine and dietary counseling) who had initially lost at least 5% of their total body weight and then regained at least 5% of their weight during the follow‐up period. Follow‐up periods ranged from 10 to 41 months (mean, 28 months). Participants completed the Impact of Weight on Quality of Life‐Lite, an obesity‐specific health‐related quality of life (HRQOL) measure, at 3‐month intervals. Results: Mean BMI at baseline was 40.9 ± 6.6 kg/m² (range, 29.2 to 63.7 kg/m²). Average weight loss from entry was 18.8 ± 6.7% (range, 6.0% to 43.7%), and average regain was 10.1 ±4.4% of baseline weight (range, 5.0% to 30.6%). The effects of weight regain on HRQOL mirrored the effects of weight loss—rates of HRQOL change were similar in magnitude but different in direction for comparable weight loss and regain. Those with more severe initial impairments in HRQOL experienced greater improvements in HRQOL during weight loss as well as greater deterioration during weight regain than those with less severe impairments. Discussion: Weight loss and regain produced mirror image changes in HRQOL. The initial severity of HRQOL impairment had a greater impact on the magnitude of HRQOL change than the direction of weight change. Findings underscore the importance of maintaining weight loss for the purposes of retaining obesity‐specific HRQOL benefits.     

Metabolic and Weight Loss Effects of Long‐Term Dietary Intervention in Obese Patients: Four‐Year Results

Objective: To investigate the contribution of meal and snack replacements for long‐term weight maintenance and risk factor reduction in obese patients. Research Methods and Procedures: Prospective, randomized, two‐arm, parallel intervention for 12 weeks followed by a prospective single‐arm 4‐year trial in a University Hospital clinic. One hundred patients, >18 years old and with a body mass index > 25 and ≤ 40 kg/m², were prescribed a 1200 to 1500 kcal/d control diet (Group A) or an isoenergetic diet, including two meal and snack replacements (vitamin‐ and mineral‐fortified shakes, soups, and bars) and one meal high in fruits and vegetables (Group B). Following a 3 months of weight loss, all patients were prescribed the same energy‐restricted diet (1200 to 1500 kcal) with one meal and one snack replacement for an additional 4 years. Results: All 100 patients were evaluated at 12 weeks. Mean percentage weight loss was 1.5 ± 0.4% and 7.8 ± 0.5% (mean ± SEM) for Groups A and B, respectively. At 12 weeks systolic blood pressure, plasma triacylglycerol, glucose, and insulin concentrations were significantly reduced in Group B, whereas no changes occurred in Group A. After 4 years, 75% of the patients were evaluated. Total mean weight loss was 3.2 ± 0.8% for Group A and 8.4 ± 0.8% (mean ± SEM) for Group B. Both groups showed significant improvement in blood glucose and insulin (p < 0.001), but only Group B showed significant improvement in triacylglycerol and systolic blood pressure compared to baseline values (p < 0.001). Discussion: Providing a structured meal plan via vitamin‐ and mineral‐fortified liquid meal replacements is a safe and effective dietary strategy for obese patients. Long‐term maintenance of weight loss with meal replacements can improve certain biomarkers of disease risk.     

Long‐term Successful Weight Loss Improves Vascular Endothelial Function in Severely Obese Individuals

Obesity is associated with increased cardiovascular risk. Although short‐term weight loss improves vascular endothelial function, longer term outcomes have not been widely investigated. We examined brachial artery endothelium‐dependent vasodilation and metabolic parameters in 29 severely obese subjects who lost ≥10% body weight (age 45 ± 13 years; BMI 48 ± 9 kg/m²) at baseline and after 12 months of dietary and/or surgical intervention. We compared these parameters to 14 obese individuals (age 49 ± 11 years; BMI 39 ± 7 kg/m²) who failed to lose weight. For the entire group, mean brachial artery flow‐mediated dilation (FMD) was impaired at 6.7 ± 4.1%. Following sustained weight loss, FMD increased significantly from 6.8 ± 4.2 to 10.0 ± 4.7%, but remained blunted in patients without weight decline from 6.5 ± 4.0 to 5.7 ± 4.1%, P = 0.013 by ANOVA. Endothelium‐independent, nitroglycerin‐mediated dilation (NMD) was unaltered. BMI fell by 13 ± 7 kg/m² following successful weight intervention and was associated with reduced total and low‐density lipoprotein cholesterol, glucose, hemoglobin A_1c, and high‐sensitivity C‐reactive protein (CRP). Vascular improvement correlated most strongly with glucose levels (r = ?0.51, P = 0.002) and was independent of weight change. In this cohort of severely obese subjects, sustained weight loss at 1 year improved vascular function and metabolic parameters. The findings suggest that reversal of endothelial dysfunction and restoration of arterial homeostasis could potentially reduce cardiovascular risk. The results also demonstrate that metabolic changes in association with weight loss are stronger determinants of vascular phenotype than degree of weight reduction.     

Gender Differences in the Response of Plasma Leptin Concentrations to Weight Loss in Obese Older Individuals

Plasma leptin concentration is directly related to the degree of obesity and is higher in women than in men of the same body mass index (BMI). We hypothesized that fasting plasma leptin concentrations and the response of leptin to weight loss would differ in older men and women of a similar fat mass. Plasma leptin concentrations (radioimmunoassay) and fat mass (DXA) were measured in 47 older, obese (BMI=30 ± 4 kg/m²) women and 23 older, obese (BMI=31 ± 3 kg/m²) men after a 2 to 4 week period of weight and dietary stabilization, and then in 22 of the women and 18 of the men after a 6-month weight loss intervention (250–350 kcal/d deficit). Leptin correlated with fat mass in men and women (r=0.75 and r=0.77, respectively; p values<0.0001), but women had 3-fold higher leptin levels for a given fat mass than men (p=0.01). In response to the 6-month hypocaloric diet, men and women lost a similar percentage of fat mass (?13% and ?16%, respectively), but the relative decline in circulating leptin was greater in women than men (-45% and ?21%, respectively; p<0.0001). In addition, when leptin was normalized for fat mass using the ratio method, the decrease in leptin per kilogram of fat mass was greater in women than men (-0.37 ± 0.34 vs. ?0.04 ± 0.06 ng/mL/kg; p<0.01). After weight loss, the change in leptin concentrations correlated positively with the change in fat mass in men (r=0.60; p<0.01), but not in women (r=0.31; p=0.17). Furthermore, the loss in fat mass correlated negatively with baseline leptin levels in women (r=-0.47; p<0.05), but not in men (r=0.03, p=NS). These results indicate that the decline in leptin concentration with weight loss correlates with the loss in fat mass in men; but, in women, other factors affect the decrease in leptin concentration. This suggests that the role of leptin in the regulation of obesity is gender-specific and may account for gender differences in response to hypocaloric treatment and maintenance of lost weight.     

Serum Leptin Concentrations and Weight Gain in Postobese,Postmenopausal Women

Objective : This study was designed to determine if serum leptin concentrations (adjusted for fat mass) after weight loss on a low-calorie diet predict subsequent weight gain. Research Methods and Procedures : Body composition and serum leptin concentrations were determined on 14 moderately obese, postmenopausal, nondiabetic women with a familial predisposition to obesity. Assessments were obtained under tightly controlled metabolic ward conditions of macronutrient intake and weight maintenance both before (obese state) and after a mean weight loss of 12.0 kg to normal body weight (postobese state). Four years later, without intervention, body weight and body composition were reassessed. Results : Weight loss resulted in significant decreases in fat mass (29.7 ± 5.4 vs. 20.3 ± 4.7; kg), body mass index (27.7 ± 1.6 vs. 23.0 ± 1.5; kg/m2), percent body fat (40.7 ± 4.3 vs. 33.1 ± 5.0), and serum leptin concentrations (31.8 ± 16.0 vs. 11.5 ± 5.4; ng/mL). Serum leptin concentrations were positively correlated (p<<0.05) with fat mass in both the obese and postobese states (r = 0.67 and r = 0.56, respectively). However, residual serum leptin concentrations (adjusted for fat mass) in the obese and postobese states were not related to changes in body weight (p<= 0.61 and 0.52), fat mass (p = 0.72 and 0.42), body mass index (p = 0.59 and 0.33), or percent body fat (p = 0.84 and 0.46) over the follow-up period. Discussion : These finding do not support the hypothesis that relatively low concentrations of leptin predict weight regain after weight loss. However, because the number of subjects in this study was limited, further studies are warranted.     

Predictors of Long‐term Weight Maintenance

Objective: The purpose of this study was to evaluate available variables of a long‐term weight maintenance study to investigate possible factors predisposing to weight regain after a period of weight loss. Research Methods and Procedures: The Maastricht Weight Maintenance Study is an ongoing longitudinal study of healthy men and women (29 men and 62 women; 18 to 65 years of age; BMI = 30.2 ± 3.1 kg/m²). A variety of parameters were measured before and after a very‐low‐energy diet and after a follow‐up of at least 2 years. Results: Mean weight loss was 7.9 ± 3.6 kg, and percent weight regain was 113.8 ± 98.1%. Percent BMI regain was negatively associated with an increase in dietary restraint (r = ?0.47, p < 0.05). Percent weight regain was negatively correlated with baseline resting metabolic rate (r = ?0.38, p = 0.01) and baseline fat mass (r = ?0.24, p = 0.05) and positively correlated with the magnitude of change in body weight (BW) expressed as maximum amplitude of BW (r = 0.21, p < 0.05). In addition, amplitude of BW was positively correlated with the frequency of dieting (r = 0.57, p < 0.01). Discussion: The best predictors for weight maintenance after weight loss were an increase in dietary restraint during weight loss, a high baseline resting metabolic rate, a relatively high baseline fat mass favoring a fat‐free mass–sparing effect during weight loss, a rather stable BW, and a low frequency of dieting. Therefore, BW maintenance after BW loss seems to be a multifactorial issue, including mechanisms that regulate an individuals’ energy expenditure, body composition, and eating behavior in such a way that energy homeostasis is maintained.     

Comparison of Obese NIDDM and Nondiabetic Women: Short- and Long-Term Weight Loss

Previous research suggests that overweight patients with diabetes lose less weight than non diabetics. We compared the response of obese women with NIDDM to non diabetic controls, matched for age and weight, to a behavior weight loss program. Forty-three overweight women (20 NIDDM, 23 non diabetic) participated in the study. NIDDM and non diabetic subjects were treated together and received the same 16-week behavioral weight loss program. Dependent measures included weight, 3-day food records, physical activity, fasting plasma glucose, and questionnaires assessing eating behavior and depressive symptomatology. Weight loss of NIDDM and non diabetic subjects at posttreatment was comparable (-7.4 ± 5.3 kg vs. ?6.4 ± 3.8 kg, respectively). Changes in caloric intake, eating behavior, exercise and depressive symptomatology were also similar between the two groups. However, during the 1-year follow-up period, NIDDM subjects regained 5.4 ± 6.1 kg compared to 1.0 ± 6.7 kg for nondiabetics (p=.058). These data indicate that NIDDM subjects can lose as much weight as their nondiabetic peers during active treatment Once treatment terminated, however, NIDDM subjects demonstrated poor weight loss maintenance. Thus the added motivation that comes from having diabetes and seeing improvements in glycemic control with weight loss were not sufficient to improve long term weight loss in diabetic subjects. A continuous care model of weight control may be particularly necessary for overweight patients with type II diabetes.     

Weight loss on the web: A pilot study comparing a structured behavioral intervention to a commercial program

Objective: Internet weight loss programs have become widely available as alternatives to standard treatment, but few data are available on their efficacy. This study aimed to investigate the effectiveness of a structured behavioral weight loss website (VTrim) vs. a commercial weight loss website ( eDiets.com ). Research Methods and Procedures: A randomized, controlled trial was conducted from February 2003 to March 2005, in 124 overweight and obese subjects ages 18 years and older with a BMI of 25 to 39.9 kg/m² (mean age, 47 ± 9 years; BMI, 32 ± 3 kg/m²; 20% men). Analyses were performed for the 88 subjects who had complete follow‐up data. Participants were randomly assigned to 12‐month VTrim (n = 62) or eDiets.com (n = 62) intervention. VTrim participants had access to a therapist‐led structured behavioral weight loss program delivered on‐line. eDiets.com subjects had access to a self‐help commercial on‐line weight loss program. Body weight, social support, and use of website components were measured at 0, 6, and 12 months. Results: Repeated‐measures analyses showed that the VTrim group lost significantly more weight than the eDiets.com group at 6 months (8.3 ± 7.9 kg vs. 4.1 ± 6.2 kg; p = 0.004) and maintained a greater loss at 12 months (7.8 ± 7.5 kg vs. 3.4 ± 5.8 kg; p = 0.002). More participants in the VTrim group maintained a 5% weight loss goal (65% vs. 37.5%; p = 0.01) at 12 months. Discussion: An on‐line, therapist‐led structured behavioral weight loss website produced greater weight loss than a self‐help commercial website. Because commercial sites have great potential public health impact, future research should investigate the feasibility of incorporating a more structured behavioral program into a commercial application.     

A losing battle: weight regain does not restore weight loss-induced bone loss in postmenopausal women

Previously, we reported significant bone mineral density (BMD) loss in postmenopausal women after modest weight loss. It remains unclear whether the magnitude of BMD change in response to weight loss is appropriate (i.e., proportional to weight loss) and whether BMD is recovered with weight regain. We now report changes in BMD after a 1‐year follow‐up. Subjects (n = 23) in this secondary analysis were postmenopausal women randomized to placebo as part of a larger trial. They completed a 6‐month exercise‐based weight loss program and returned for follow‐up at 18 months. Dual‐energy X‐ray absorptiometry (DXA) was performed at baseline, 6, and 18 months. At baseline, subjects were aged 56.8 ± 5.4 years (mean ± s.d.), 10.0 ± 9.2 years postmenopausal, and BMI was 29.6 ± 4.0 kg/m². They lost 3.9 ± 3.5 kg during the weight loss intervention. During follow‐up, they regained 2.9 ± 3.9 kg. Six months of weight loss resulted in a significant decrease in lumbar spine (LS) (?1.7 ± 3.5%; P = 0.002) and hip (?0.04 ± 3.5%; P = 0.03) BMD that was accompanied by an increase in a biomarker of bone resorption (serum C‐terminal telopeptide of type I collagen, CTX: 34 ± 54%; P = 0.08). However, weight regain was not associated with LS (0.05 ± 3.8%; P = 0.15) or hip (?0.6 ± 3.0%; P = 0.81) bone regain or decreased bone resorption (CTX: ?3 ± 37%; P = 0.73). The findings suggest that BMD lost during weight reduction may not be fully recovered with weight regain in hormone‐deficient, postmenopausal women. Future studies are needed to identify effective strategies to prevent bone loss during periods of weight loss.     

The Insulin Tolerance Test in Morbidly Obese Patients Undergoing Bariatric Surgery

Objective: To assess the effect of massive weight loss in relation to insulin resistance and its correlation to changes in glycemic homeostasis and lipid profile in severely obese patients. Research Methods and Procedures: A prospective clinical intervention study was carried out with 31 morbidly obese women (body mass index: 54.2 ± 8.8 kg/m²) divided into three groups according to their glucose tolerance test: 14 normal, 8 impaired glucose tolerance, and 9 type 2 diabetes. All subjects underwent an insulin tolerance test with intravenous bolus of 0.1 U insulin/kg body weight before silastic ring vertical gastroplasty Roux‐en‐Y gastric bypass surgery, and again at 2, 4, 6, and 12 months postoperatively. Fasting plasma glucose, hemoglobin A1c, and lipid profile were also evaluated. Results: A reduction of 68 ± 15% in initial excess body weight was evident within 1 year. Along with weight loss, the following statistically significant changes were found: an increase in the insulin‐sensitivity index (Kitt) and a decrease in fasting plasma glucose and hemoglobin A1c, most notably in the type 2 diabetes group. An overall improvement in lipid profile was observed in all three groups. Discussion: Bariatric surgery was an effective therapeutic approach for these obese patients because it reduced both weight and insulin resistance, along with improving metabolic parameters. Significant correlations were found between insulin resistance and metabolic improvements. Weight loss after bariatric surgery induced an improvement in metabolic fitness, related to the reduction in insulin resistance over a range of glucose tolerance statuses from normal to diabetic.     

Physical Activity in Relation to Long‐term Weight Maintenance After Intentional Weight Loss in Premenopausal Women

The type and amount of physical activity (PA) needed for prevention of weight regain are not well understood. We prospectively examined the associations between patterns of discretionary PA and 6‐year maintenance of intentional weight loss among 4,558 healthy premenopausal women who were 26–45 years old in 1991 and had lost >5% of their body weight in the previous 2 years. Participants reported their PA and weight in 1991 and 1997. The outcome was weight regain, defined as regaining in 1997 >30% of the lost weight between 1989 and 1991. Between 1991 and 1997, 80% of women regained >30% of their previous intentional weight loss. An increase of 30 min/day in total discretionary activity between 1991 and 1997 was associated with less weight regain (?1.36 kg, 95% confidence interval (CI) = ?1.61, ?1.12), particularly among overweight women (BMI ≥25) (?2.45 kg, ?3.12 to ?1.78). Increased jogging or running was associated with less weight regain (?3.26 kg; ?4.41 to ?2.10) than increased brisk walking (?1.69 kg; ?2.15 to ?1.22) or other activities (?1.26 kg; ?1.65 to ?0.87). Compared to women who remained sedentary, women were less likely to regain >30% of the lost weight if they maintained 30+ min/day of discretionary PA (odds ratio (OR) = 0.69, 0.53 to 0.89) or increased to this activity level (OR = 0.48, 0.39 to 0.60). Conversely, risk was elevated in women who decreased their activity. Increased PA, particularly high intensity activities, is associated with better maintenance of weight loss. The benefits of activity were greater among overweight/obese than normal weight women.     

Dietary Weight Loss Decreases Serum Angiotensin-Converting Enzyme Activity in Obese Adults

Objective: To study the effect of dietary weight loss, postural change, and an oral glucose load on serum angiotensin-converting enzyme (ACE) activity in obese adults. Research Methods and Procedures: Sixteen obese adult men and women with a mean body mass index of 35.7 ± 4.3 kg/m² were studied after 1 week on a maintenance energy lead-in diet and after 5 weeks on an identical but 40% reduced-energy diet provided by the General Clinical Research Center (GCRC). ACE activity was measured spectrophotometrically. Plasma renin activity and serum aldosterone were measured by radioimmunoassay. Results: All subjects lost weight, with a mean decrease in body weight of 7.0 ± 2.1 kg or 6 ± 3% of initial body weight (p < 0.00001). Systolic and diastolic blood pressure, supine plasma renin activity, and serum aldosterone levels decreased with weight loss (p < 0.05). Supine ACE activity decreased 23 ± 12% with weight loss (p < 0.00001). Standing ACE activity, which was significantly higher than supine ACE activity before and after weight loss (p < 0.05), also decreased 18 ± 17% with weight loss (p = 0.0007). A 75-g oral glucose load had no effect on serum ACE activity over a 3-hour period. Discussion: In obese adults, serum ACE activity declines with modest weight loss, increases with postural change, and is unaffected by an oral glucose load.     

Combining Weight‐Loss Counseling with the Weight Watchers Plan for Obese Breast Cancer Survivors

Objective: The objective was to develop effective weight‐loss methods for women who have had breast cancer, because obesity may result in an adverse prognosis. Research Methods and Procedures: This randomized pilot study tested an individualized approach toward weight loss in obese women who have had a diagnosis of breast cancer. An individualized approach was applied either alone or combined with the commercial Weight Watchers program. Forty‐eight women (body mass index of 30 to 44 kg/m²) were enrolled. Results: Weight change after 12 months of intervention was as follows (mean ± SD): 0.85 ± 6.0 kg in the control group, ?2.6 ± 5.9 kg in the Weight Watchers group, ?8.0 ± 5.5 kg in the individualized group, and ?9.4 ± 8.6 kg in the comprehensive group that used both individualized counseling and Weight Watchers. Weight loss relative to control was statistically significant in the comprehensive group 3, 6, and 12 months after randomization, whereas weight loss in the individualized group was significant only at 12 months. Weight loss of 10% or more of initial body weight was observed in 6 of 10 women in the comprehensive group at 12 months. In the comprehensive and Weight Watchers–only groups, weight loss was significantly related to frequency of attendance at Weight Watchers meetings, and attendance was more frequent in the comprehensive group. Discussion: These data indicate that the most weight loss was achieved when the counseling approach combined both Weight Watchers and individualized contacts. This was effective even though most of the individualized contacts were by telephone.