Mediators of Weight Loss and Weight Loss Maintenance in Middle‐aged Women

Long‐term behavioral self‐regulation is the hallmark of successful weight control. We tested mediators of weight loss and weight loss maintenance in middle‐aged women who participated in a randomized controlled 12‐month weight management intervention. Overweight and obese women (N = 225, BMI = 31.3 ± 4.1 kg/m²) were randomly assigned to a control or a 1‐year group intervention designed to promote autonomous self‐regulation of body weight. Key exercise, eating behavior, and body image variables were assessed before and after the program, and tested as mediators of weight loss (12 months, 86% retention) and weight loss maintenance (24 months, 81% retention). Multiple mediation was employed and an intention‐to‐treat analysis conducted. Treatment effects were observed for all putative mediators (Effect size: 0.32–0.79, P < 0.01 vs. controls). Weight change was ?7.3 ± 5.9% (12‐month) and ?5.5 ± 5.0% (24‐month) in the intervention group and ?1.7 ± 5.0% and ?2.2 ± 7.5% in controls. Change in most psychosocial variables was associated with 12‐month weight change, but only flexible cognitive restraint (P < 0.01), disinhibition (P < 0.05), exercise self‐efficacy (P < 0.001), exercise intrinsic motivation (P < 0.01), and body dissatisfaction (P < 0.05) predicted 24‐month weight change. Lower emotional eating, increased flexible cognitive restraint, and fewer exercise barriers mediated 12‐month weight loss (R² = 0.31, P < 0.001; effect ratio: 0.37), but only flexible restraint and exercise self‐efficacy mediated 24‐month weight loss (R² = 0.17, P < 0.001; effect ratio: 0.89). This is the first study to evaluate self‐regulation mediators of weight loss and 2‐year weight loss maintenance, in a large sample of overweight women. Results show that lowering emotional eating and adopting a flexible dietary restraint pattern are critical for sustained weight loss. For long‐term success, interventions must also be effective in promoting exercise intrinsic motivation and self‐efficacy.     

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.     

A Pilot Internet‐Based Behavioral Weight Loss Intervention with or without Commercially Available Portion‐Controlled Foods

Objective : To evaluate the short‐term impact of portion‐controlled food provision in combination with an Internet behavioral weight loss program on weight, blood cholesterol, and blood glucose levels. Design and Methods : Fifty participants, mean age 46 ± 10.7 years and mean body mass index 35.1 ± 3.8 kg/m², were randomized to one of two study groups, an Internet behavioral weight loss program (Internet‐alone; n = 25) or an Internet behavioral weight loss program plus a commercially available portion‐controlled diet (Internet + PCD; n = 25) for 12 weeks. Results : An intent‐to‐treat analysis found that the mean weight change in the Internet + PCD group was ?5.7 ± 5.6 kg and in the Internet‐alone group (n = 25) was ?4.1 ± 4.0 kg (P = 0.26). Participants in the Internet + PCD group achieved significantly greater improvements in blood glucose (?2.6 ± 5.7 vs. 1.4 ± 11.0 mg/dl; P = 0.05) and LDL cholesterol (?8.2 ± 18.0 vs. ?0.6 ± 21.0 mg/dl; P = 0.04), compared with Internet‐alone group. Conclusions : These data suggest that there may be short‐term clinical benefit in using a PCD in conjunction with a behavioral Internet‐based weight loss program to enhance weight loss and improve health indicators.     

Weight Loss Intervention for Obese Older Women: Improvements in Performance and Function

Objectives: To determine the feasibility of a 3‐month weight loss program for obese older women with short‐term laboratory, performance, functional, and life quality outcomes. Research Methods and Procedures: This was a pre‐ and postintervention design. Community‐dwelling women (n = 26) ≥60 years old with BMI ≥30 were enrolled in a 3‐month weight loss program promoting prudent diet, behavior modification, and physical activity. The primary emphasis of the program was on health, function, and quality of life. The approach was specifically tailored to older subjects through use of large‐font instructional materials, supplementation of calcium and vitamin D, and moderate weight loss and physical activity goals. An initial assessment by a bariatric physician was followed by eight visits with a dietitian and a follow‐up physician visit. Measurements included anthropometrics, body composition, laboratories, pedometer, physical performance, Short‐Form 36 Health Status Survey (SF‐36), Life Space Assessment, and dietary assessment. Results: Eighteen participants completed the program. There was a significant decrease in mean body weight (100 ± 15 vs. 96 ± 18 kg, p = 0.006), with a mean weight loss of 4.3 ± 5.5 kg (range ?15.5 to +7.20 kg). Significant improvements were observed for diastolic blood pressure, total cholesterol, triglycerides, physical performance, pedometer‐measured step counts, and step climb and descent. Self‐rated physical functioning (SF‐36 subscore) and vitality (SF‐36 subscore) were also significantly improved. Discussion: It is feasible for self‐selected obese older women to achieve a moderate weight loss and increase in physical activity resulting in short‐term improvements in laboratory, physical performance, self‐reported function, vitality, and life quality outcomes.     

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.     

The effects of weight loss on relative bone mineral density in premenopausal women

Objective:

This study compared BMD relative to body weight following a ～6‐month weight loss program and a 1‐year weight maintenance phase in premenopausal women and determined whether African American (AA) and European‐American (EA) women's BMD respond similarly during weight loss.

Design and Methods:

Premenopausal women (n = 115, 34 ± 5 years) were evaluated in an overweight state (BMI between 27 and 30 kg/m²), following an 800 kcal/day diet/exercise program designed to reduce BMI<25 kg/m², and 1‐year following weight loss.

Results:

BMD relative to body weight (Z‐scores) increased after weight loss, but decreased during the 1‐year weight maintenance phase. All 1‐year follow‐up BMD Z‐scores were increased (except L1) compared to baseline measurements (P < 0.05). These sites included the hip neck (+0.088, P = 0.014), total hip (+0.099, P = 0.001), L2 (+0.127, P = 0.013), L3 (+0.135, P = 0.014), and L4 (+0.199, P = 0.002). AAs had significantly higher absolute BMD at all sites (P < 0.05) compared to EAs, but no time by race interactions were evident during weight loss (except in L3).

Conclusion:

These results may indicate that weight loss is safe with regard to bone health for overweight premenopausal women.     

TNF‐α Promoter Methylation as a Predictive Biomarker for Weight‐loss Response

Tumor necrosis factor‐α (TNF‐α) is a proinflammatory cytokine which is commonly elevated in obese subjects and whose promoter is susceptible to be regulated by cytosine methylation. The aim of this research was to analyze whether epigenetic regulation of human TNF‐α promoter by cytosine methylation could be involved in the predisposition to lose body weight after following a balanced hypocaloric diet. Twenty‐four patients (12 women/12 men) with excessive body weight‐for‐height (BMI: 30.5 ± 0.32 kg/m²; age: 34 ± 4 years old) followed an 8‐week energy‐restricted diet. Blood mononuclear cell DNA, isolated before the nutritional intervention, was treated with bisulfite and a region of TNF‐α gene promoter (from ?360 to +50 bp) was sequenced. Obese men with successful weight loss (≥5% of initial body weight) showed lower levels of total TNF‐α promoter methylation (r = 0.74; P = 0.021), especially in the positions ?170 bp (r = 0.75, P = 0.005) and ?120 bp (r = 0.70, P = 0.011). Baseline TNF‐α circulating levels were positively associated with total promoter methylation (r = 0.84, P = 0.005) and methylation at position ?245 bp (r = 0.75, P = 0.020). TNF‐α promoter methylation could be a good inflammation marker predicting the hypocaloric diet‐induced weight‐loss, and constitutes a first step toward personalized nutrition based on epigenetic criteria.     

The SHED‐IT Randomized Controlled Trial: Evaluation of an Internet‐based Weight‐loss Program for Men

The aim of this study was to evaluate the efficacy of an Internet‐based weight‐loss program for men in an assessor blinded randomized controlled trial. In total, 65 overweight/obese male staff and students at the University of Newcastle (mean (s.d.) age = 35.9 (11.1) years; BMI = 30.6 (2.8)) were randomly assigned to either (i) Internet group (n = 34) or (ii) control group (information only) (n = 31). Both groups received one face‐to‐face information session and a program booklet. Internet group participants used the study website to self‐monitor diet and activity with feedback provided based on participants' online entries on seven occasions over 3 months. Participants were assessed at baseline, 3‐, and 6‐month follow‐up for weight, waist circumference, BMI, blood pressure, resting heart rate, objectively measured physical activity, and self‐reported total daily kilojoules. Intention‐to‐treat analysis revealed significant weight loss of 5.3 kg (95% confidence interval (CI): ?7.3, ?3.3) at 6 months for the Internet group and 3.5 kg (95% CI: ?5.5, ?1.4) for the control group. A significant time effect was found for all outcomes but no between‐group differences. Per‐protocol analysis revealed a significant group‐by‐time interaction (P < 0.001), with compliers losing more weight at 6 months (?9.1 kg; 95% CI ?11.8, ?6.5) than noncompliers (?2.7 kg; 95% CI ?5.3, ?0.01) and the control group (?4.2 kg; 95% CI ?6.2, ?2.2). Simple weight‐loss interventions can be effective in achieving statistically and clinically significant weight loss in men. The Internet is a feasible and effective medium for weight loss in men but strategies need to be explored to improve engagement in online programs.     

Endothelial function and weight loss: Comparison of low‐carbohydrate and low‐fat diets

Objective: The effect of weight loss on obesity‐associated endothelial dysfunction is not clear because of conflicting data, demonstrating both improvement and no change in endothelial function after weight loss in obese subjects. A 2‐year prospective study (n = 121) was conducted to examine: (1) the effect of obesity and weight loss (either a low‐carbohydrate or and low‐fat diet) on flow mediated vasodilatation (FMD), a measure of endothelial function. Design and Methods: Participants reduced body weight by 7.1% ± 4.4%, 8.7% ± 6.8%, 7.1% ± 7.8%, and 4.1% ± 7.7% at 3, 6, 12, and 24 months, respectively with no significant differences between the low‐fat and low‐carbohydrate groups. Results: Endothelial function was inversely correlated with waist circumference, triglyceride level, and directly correlated with leptin in obese persons prior to weight loss. These weight losses did not confer any improvements in FMD. There were no differences between the low‐fat and low‐carbohydrate diets in FMD at any time point. At 6 months (r = 0.26, P = 0.04) and 1 year (r =0.28, P = 0.03), there were positive correlations between change in FMD and change in leptin but not at 2 years. Conclusion: There was no significant improvement in endothelial function after 7.1% ± 7.8% weight loss at 1 year and 4.1% ± 7.7% at 2 years, achieved by either a low carbohydrate or a low fat diet.     

Leptin Responses to Weight Loss in Postmenopausal Women: Relationship to Sex‐Hormone Binding Globulin and Visceral Obesity

Objective: Leptin concentrations increase with obesity and tend to decrease with weight loss. However, there is large variation in the response of serum leptin levels to decreases in body weight. This study examines which endocrine and body composition factors are related to changes in leptin concentrations following weight loss in obese, postmenopausal women. Research Methods and Procedures: Body composition (DXA), visceral obesity (computed tomography), leptin, cortisol, insulin, and sex hormone‐binding globulin (SHBG) concentrations were measured in 54 obese (body mass index [BMI] = 32.0 ± 4.5 kg/m²; mean ± SD), women (60 ± 6 years) before and after a 6‐month hypocaloric diet (250 to 350 kcal/day deficit). Results: Body weight decreased by 5.8 ± 3.4 kg (7.1%) and leptin levels decreased by 6.6 ± 11.9 ng/mL (14.5%) after the 6‐month treatment. Insulin levels decreased 10% (p < 0.05), but mean SHBG and cortisol levels did not change significantly. Relative changes in leptin with weight loss correlated positively with relative changes in body weight (r = 0.50, p < 0.0001), fat mass (r = 0.38, p < 0.01), subcutaneous fat area (r = 0.52, p < 0.0001), and with baseline values of SHBG (r = 0.38, p < 0.01) and baseline intra‐abdominal fat area (r = ?0.27, p < 0.06). Stepwise multiple regression analysis showed that baseline SHBG levels (r² = 0.24, p < 0.01), relative changes in body weight (cumulative r² = 0.40, p < 0.05), and baseline intra‐abdominal fat area (cumulative r² = 0.48, p < 0.05) were the only independent predictors of the relative change in leptin, accounting for 48% of the variance. Discussion: These results suggest that obese, postmenopausal women with a lower initial SHBG and more visceral obesity have a greater decrease in leptin with weight loss, independent of the amount of weight lost.     

Effects of weight status and barriers on physical activity adoption among previously inactive women

This study examined self‐reported physical activity (PA) barriers, and their effects on PA behavior change at 3 and 12 months among 280 previously inactive women enrolled in a PA promotion trial. Effect modification of baseline barriers by baseline weight status on PA behavior change was also examined. At baseline and month 12, obese women reported significantly greater PA barriers compared with normal and overweight women (P < 0.05). Individual barriers that were more likely to be elevated for obese vs. normal and overweight participants at baseline were feeling too overweight, feeling self‐conscious, reporting minor aches and pains, and lack of self‐discipline. Also, weight status moderated the effect of PA barriers on PA behavior change from baseline to month 3 (P < 0.05), but not to month 12 (P = 0.637), with obese participants reporting high barriers achieving 70 min/week fewer than those with low barriers (P < 0.05). Finally, the interaction between barriers (high vs. low) and weight status (obese vs. normal), shows PA barriers had a detrimental PA effect among obese participants that was 122.5 min/week (95% confidence interval (CI) = 15.7, 229.4; P < 0.05) lower than their effect on normal‐weight participants. These results suggest that for obese women, PA barriers have quantifiable effects on PA behavior change. This study has implications for the design of future weight loss and PA interventions, suggesting that a comprehensive assessment of PA barriers is a prerequisite for appropriate tailoring of behavioral PA interventions.     

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.     

Web-based weight management programs in an integrated health care setting: a randomized, controlled trial

Objective: To assess the efficacy of a Web‐based tailored behavioral weight management program compared with Web‐based information‐only weight management materials. Research Methods and Procedures: Participants, 2862 eligible overweight and obese (BMI = 27 to 40 kg/m²) members from four regions of Kaiser Permanente's integrated health care delivery system, were randomized to receive either a tailored expert system or information‐only Web‐based weight management materials. Weight change and program satisfaction were assessed by self‐report through an Internet‐based survey at 3‐ and 6‐month follow‐up periods. Results: Significantly greater weight loss at follow‐up was found among participants assigned to the tailored expert system than among those assigned to the information‐only condition. Subjects in the tailored expert system lost a mean of 3 ± 0.3% of their baseline weight, whereas subjects in the information‐only condition lost a mean of 1.2 ± 0.4% (p < 0.0004). Participants were also more likely to report that the tailored expert system was personally relevant, helpful, and easy to understand. Notably, 36% of enrollees were African‐American, with enrollment rates higher than the general proportion of African Americans in any of the study regions. Discussion: The results of this large, randomized control trial show the potential benefit of the Web‐based tailored expert system for weight management compared with a Web‐based information‐only weight management program.     

The Effect of Dietary Glycemic Index on Weight Maintenance in Overweight Subjects: A Pilot Study

Evidence suggests that a low‐glycemic index (LGI) diet has a satiating effect and thus may enhance weight maintenance following weight loss. This study was conducted at Hammersmith Hospital, London, UK, and assessed the effect of altering diet GI on weight‐loss maintenance. It consisted of a weight‐loss phase and a 4‐month randomized weight maintenance phase. Subjects were seen monthly to assess dietary compliance and anthropometrics. Appetite was assessed bimonthly by visual analogue scales while meal challenge postprandial insulin and glucose concentrations were assessed before and after the intervention. Following a median weight loss of 6.1 (interquartile range: 5.2–7.1) % body weight, subjects were randomized to a high‐glycemic index (HGI) (n = 19) or LGI (n = 23) diet. Dietary composition differed only in GI (HGI group: 63.7 ± 9.4; LGI group: 49.7 ± 5.7, P < 0.001) and glycemic load (HGI group: 136.8 ± 56.3; LGI group: 89.7 ± 27.5, P < 0.001). Groups did not differ in body weight (weight change over 4 months, HGI group: 0.3 ± 1.9 kg; LGI group: −0.7 ± 2.9 kg, P = 0.3) or other anthropometric measurements. This pilot study suggests that in the setting of healthy eating, changing the diet GI does not appear to significantly affect weight maintenance.     

Consistent self-monitoring of weight: a key component of successful weight loss maintenance

Objective: The objectives were to investigate the characteristics associated with frequent self‐weighing and the relationship between self‐weighing and weight loss maintenance. Research Methods and Procedures: Participants (n = 3003) were members of the National Weight Control Registry (NWCR) who had lost ≥30 lbs, kept it off for ≥1 year, and had been administered the self‐weighing frequency assessment used for this study at baseline (i.e., entry to the NWCR). Of these, 82% also completed the one‐year follow‐up assessment. Results: At baseline, 36.2% of participants reported weighing themselves at least once per day, and more frequent weighing was associated with lower BMI and higher scores on disinhibition and cognitive restraint, although both scores remained within normal ranges. Weight gain at 1‐year follow‐up was significantly greater for participants whose self‐weighing frequency decreased between baseline and one year (4.0 ± 6.3 kg) compared with those whose frequency increased (1.1 ± 6.5 kg) or remained the same (1.8 ± 5.3 kg). Participants who decreased their frequency of self‐weighing were more likely to report increases in their percentage of caloric intake from fat and in disinhibition, and decreases in cognitive restraint. However, change in self‐weighing frequency was independently associated with weight change. Discussion: Consistent self‐weighing may help individuals maintain their successful weight loss by allowing them to catch weight gains before they escalate and make behavior changes to prevent additional weight gain. While change in self‐weighing frequency is a marker for changes in other parameters of weight control, decreasing self‐weighing frequency is also independently associated with greater weight gain.     

Sociodemographic,behavioral, and biological variables related to weight loss in native hawaiians and other pacific islanders

Objective:

Native Hawaiians and other Pacific Islanders (NHs/PIs) have a high obesity prevalence compared to other ethnic groups. We examined socio‐demographic, behavioral, and biological factors related to ≥3% weight loss in 100 overweight/obese NHs/PIs who completed a lifestyle intervention.

Design and Methods:

Data were from 56 Native Hawaiians, 22 Chuukese, and 22 Other Pacific Islanders who participated in a randomized controlled trial of the Partnership for Improving Lifestyle Intervention (PILI) 'Ohana Project. All completed a 3‐month weight loss program (WLP) to initiate weight loss and were then randomized into either a 6‐month family/community focused WLP called the PILI Lifestyle Program (PLP; n = 49) or a standard behavior WLP (SBP; n = 51). We collected baseline, 3‐ and 9‐month follow‐up data on socio‐demographics, weight (kg), a 6‐min. walk test, dietary fat, exercise frequency, and blood pressure.

Results and Conclusion:

Based on ANCOVA or logistic fit, ethnicity, sex, initial weight loss, fat in diet at baseline, change in systolic blood pressure, and intervention type were significantly associated (P ≤ .05) with ≥3% weight loss at 9‐month follow‐up. A logistic regression model indicated that Chuukese (OR = 6.04; CI = 1.14–32.17) and participants who had more weight loss in the first 3‐months (OR = 1.47; CI = 1.22–1.86) and who were in the PLP (OR = 4.50; CI = 1.50–15.14) were more likely to achieve ≥3% weight loss [model; χ² (7, N = 100) = 45.50, P < .0001]. The same lifestyle intervention does not benefit all NHs/PIs equally, possibly due to differences in acculturation status and social support. The findings also point to the importance of initial weight loss to sustain motivation toward long‐term weight loss maintenance.     

Randomized Trial of a Behavioral Weight Loss Intervention for Low‐income Women: The Weight Wise Program

Low‐income women in the United States have the highest rates of obesity, yet they are seldom included in weight loss trials. To address this research gap, components of two evidence‐based weight loss interventions were adapted to create a 16‐week intervention for low‐income women (Weight Wise Program), which was evaluated in a randomized trial with the primary outcome of weight loss at 5‐month follow‐up. Participants were low‐income women (40–64 years) with a BMI of 25–45. Of 143 participants, 72 were randomized to the Weight Wise Program (WWP) and 71 to the Control Group (CG). Five‐month follow‐up data were obtained from 64 (89%) WWP and 62 (87%) CG participants. With baseline values carried forward for missing data, WWP participants had a weight change of ?3.7 kg compared to 0.7 kg in the CG (4.4 kg difference, 95% confidence interval (CI), 3.2–5.5, P < 0.001). For systolic blood pressure (SBP), change in the WWP was ?6.5 mm Hg compared to ?0.4 mm Hg among controls (6.2 mm Hg difference, 95% CI, 1.7–10.6, P = 0.007); for diastolic BP (DBP), changes were ?4.1 mm Hg for WWP compared to ?1.3 mm Hg for controls (2.8 mm Hg difference, 95% CI, 0.0–5.5, P = 0.05). Of the 72 WWP participants, 64, 47, and 19% lost at least 3, 5, and 7% of their initial body weight, respectively. In conclusion, the WWP was associated with statistically significant and clinically important short‐term weight loss.     

Promoting More Modest Weight Losses: A Pilot Study

Objective: This pilot study assessed the short‐ and long‐term effects of a modified cognitive behavioral treatment designed to facilitate obese patients’ acceptance of a 5% to 10% reduction in initial weight. Research Methods and Procedures: Participants were 17 women with a mean age of 46.5 ± 9.7 years and BMI of 34.7 ± 2.9 kg/m². They participated in a 40‐week program that included four phases. The first discussed the benefits of modest weight losses and the potential adverse effects of unrealistic expectations. Phase II provided instruction in traditional cognitive behavioral methods of weight control Phase III focused on methods to improve body image and self‐esteem. Phase IV addressed skills for weight maintenance. Changes in weight, self‐esteem, body image, and quality of life were assessed at the end of treatment and 1 year later (week 92). Results: At week 40, participants lost an average of 5.7 ± 5.3% of initial weight, which was associated with significant improvements in body image, self‐esteem, and quality of life. Improvements in psychosocial status were maintained at week 92, although mean weight loss at this time had declined to 2.9 ± 5.6% of initial weight. Increased satisfaction with body weight at week 40 was associated with significantly better maintenance of weight loss at follow‐up (r = ?0.70; p = 0.02). Discussion: Having participants seek only modest initial weight losses does not appear to facilitate weight maintenance. However, increasing patients’ satisfaction with their body weight at the end of treatment may help improve weight maintenance. More research is needed on the relation between satisfaction with initial weight loss and long‐term success.     

Maladaptive Eating Patterns,Quality of Life,and Weight Outcomes Following Gastric Bypass: Results of an Internet Survey

Bariatric surgery is the most effective treatment for severe obesity. However, evidence suggests that maladaptive eating behaviors such as binge eating, grazing, and a loss of control when eating may impact postsurgical weight outcomes. The current study sought to characterize the weight outcomes, eating patterns, and perceived health‐related quality of life of individuals 3–10 years following gastric bypass (GBP) surgery and to assess the relationships between eating behaviors, weight outcomes, and quality of life. Eligible participants (N = 497) completed an Internet survey of their eating behaviors, health‐related quality of life, and weight history. Participants self‐reported a mean maximum postsurgical loss of 81% of their excess weight and maintained a mean weight loss of 70% 3–10 years following surgery (mean 4.2 years). Eighty‐seven percent reported weight regain ranging from 1 to 124 lb (mean 22.6 lb). Frequency of binge eating, a loss of control when eating, and grazing were all significantly correlated with greater weight regain (binge eating r = 0.24, P = 0.006; loss of control r = 0.36, P < 0.01; grazing r = 0.39, P < 0.001) and lesser excess weight loss (EWL) (binge eating r = ?0.21, P = 0.013; loss of control r = ?0.41, P < 0.001; grazing r = ?0.27, P < 0.001). Poorer health‐related quality of life was associated with binge eating disorder (BED) (t[463] = 9.7, P < 0.001) and grazing two or more times per week (t[361] = 9.0, P < 0.001). These findings suggest that eating disturbances and a loss of control when eating are significant following GBP and are risk factors for diminished weight outcomes.     

Motivation,Readiness to Change,and Weight Loss Following Adjustable Gastric Band Surgery

High levels of readiness to change (RTC) are considered critical to the long‐term success of weight management programs including bariatric surgery. However, there are no data to support this assertion. We hypothesize that RTC level will not influence weight outcomes following surgery. In 227 consecutive patients undergoing adjustable gastric banding surgery, we recorded reasons for seeking surgery, and RTC measured with the University of Rhode Island Change Assessment. Scores were blinded until study completion. The primary outcome measure was percentage of excess BMI loss at 2 years (%EBMIL‐2); others included compliance and surgical complications. Of 227 subjects, 204 (90%) had weight measurement at 2 years. There was no significant correlation between RTC score and %EBMIL‐2 (r = 0.047, P = 0.5). Using the median split for RTC score the lowest 102 subjects mean %EBMIL‐2 was 52.9 ± 26.9% and the highest 52.2 ± 28.3%, P = 0.869. There was no weight loss difference between highest and lowest quartiles, or a nonlinear relationship between weight loss and RTC score. There was no significant relationship between RCT score and compliance, or likelihood of complications. Those motivated by appearance were more likely to be younger women who lost more weight at 2 years. Poor attendance at follow‐up visits was associated with less weight loss, especially in men. Measures of RTC did not predict weight loss, compliance, or surgical complications. Caution is advised when using assessments of RTC to predict outcomes of bariatric surgery.