The comparison of a technology-based system and an in-person behavioral weight loss intervention

The purpose of this study was to compare a technology‐based system, an in‐person behavioral weight loss intervention, and a combination of both over a 6‐month period in overweight adults. Fifty‐one subjects (age: 44.2 ± 8.7 years, BMI: 33.7 ± 3.6 kg/m²) participated in a 6‐month behavioral weight loss program and were randomized to one of three groups: standard behavioral weight loss (SBWL), SBWL plus technology‐based system (SBWL+TECH), or technology‐based system only (TECH). All groups reduced caloric intake and progressively increased moderate intensity physical activity. SBWL and SBWL+TECH attended weekly meetings. SBWL+TECH also received a TECH that included an energy monitoring armband and website to monitor energy intake and expenditure. TECH used the technology system and received monthly telephone calls. Body weight and physical activity were assessed at 0 and 6 months. Retention at 6 months was significantly different (P = 0.005) between groups (SBWL: 53%, SBWL+TECH: 100%, and TECH: 77%). Intent‐to‐treat (ITT) analysis revealed significant weight losses at 6 months in SBWL+TECH (?8.8 ± 5.0 kg, ?8.7 ± 4.7%), SBWL (?3.7 ± 5.7 kg, ?4.1 ± 6.3%), and TECH (?5.8 ± 6.6 kg, ?6.3 ± 7.1%) (P < 0.001). Self‐report physical activity increased significantly in SBWL (473.9 ± 800.7 kcal/week), SBWL+TECH (713.9 ± 1,278.8 kcal/week), and TECH (1,066.2 ± 1,371 kcal/week) (P < 0.001), with no differences between groups (P = 0.25). The TECH used in conjunction with monthly telephone calls, produced similar, if not greater weight losses and changes in physical activity than the standard in‐person behavioral program at 6 months. The use of this technology may provide an effective short‐term clinical alternative to standard in‐person behavioral weight loss interventions, with the longer term effects warranting investigation.     

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.     

Two-year internet-based randomized controlled trial for weight loss in African-American girls

Objective: A randomized controlled trial tested the efficacy of an internet‐based lifestyle behavior modification program for African‐American girls over a 2‐year period of intervention. Research Methods and Procedures: Fifty‐seven overweight (mean BMI percentile, 98.3) African‐American girls (mean age, 13.2 years) were randomly assigned to an interactive behavioral internet program or an internet health education program, the control condition. Overweight parents were also participants in the study. Forty adolescent‐parent dyads (70%) completed the 2‐year trial. Outcome data including BMI, body weight, body composition, and weight loss behaviors were collected at baseline and at 6‐month intervals. A computer server tracked use of the web sites. Results: An intention‐to‐treat statistical approach was used, with the last observation carried forward. In comparison with the control condition, adolescents in the behavioral program lost more mean body fat (BF) (?1.12 ± 0.47% vs. 0.43 ± 0.47% BF, p < 0.05), and parents in the behavioral program lost significantly more mean body weight (?2.43 ± 0.66 vs. ?0.35 ± 0.64 kg, p < 0.05) during the first 6 months. This weight loss was regained over the next 18 months. After 2 years, differences in fat for adolescents (?0.08 ± 0.71% vs. 0.84 ± 0.72% BF) and weight for parents (?1.1 ± 0.91 vs. ?0.60 ± 0.89 kg) did not differ between the behavioral and control programs. Discussion: An internet‐based weight management program for African‐American adolescent girls and their parents resulted in weight loss during the first 6 months but did not yield long‐term loss due to reduced use of the web site over time.     

Weight loss goals among African-American women with type 2 diabetes in a behavioral weight control program

African‐American women with type 2 diabetes experience limited weight loss in behavioral weight control programs. Some research suggests that overly ambitious weight loss expectations may negatively affect weight losses achieved but it is unknown whether they affect weight loss among African‐American women. The current study examined personal weight loss goals and expected satisfaction with a reasonable weight loss among African‐American women with type 2 diabetes starting a behavioral obesity treatment. We also explored associations among these factors and weight loss treatment outcomes. Self‐identified African‐American women (N = 84) in a 24‐session group program were assessed at baseline and 6‐month follow‐up. At baseline, women indicated weight loss goals of 14.1 ± 6.6 kg (14% of initial weight). They also reported relatively high expected satisfaction with a reasonable weight loss (7–10%). On average, participants lost 3.0 ± 3.9 kg (3% of initial weight) and attended 73 ± 21% of group sessions. Neither weight loss goals nor expected satisfaction with a reasonable weight loss was correlated with either actual weight loss outcome or attendance. Having higher personal weight loss goals was associated with lower expectations of satisfaction with a reasonable weight loss. This suggests that African‐American women with type 2 diabetes enter treatment hoping to lose far more weight than they are likely to achieve. It is important to understand the psychosocial sequelae of failing to reach these goals on subsequent weight maintenance and future weight loss attempts within this population.     

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 effect of pioglitazone and resistance training on body composition in older men and women undergoing hypocaloric weight loss

Age‐related increases in ectopic fat accumulation are associated with greater risk for metabolic and cardiovascular diseases, and physical disability. Reducing skeletal muscle fat and preserving lean tissue are associated with improved physical function in older adults. PPARγ‐agonist treatment decreases abdominal visceral adipose tissue (VAT) and resistance training preserves lean tissue, but their effect on ectopic fat depots in nondiabetic overweight adults is unclear. We examined the influence of pioglitazone and resistance training on body composition in older (65–79 years) nondiabetic overweight/obese men (n = 48, BMI = 32.3 ± 3.8 kg/m²) and women (n = 40, BMI = 33.3 ± 4.9 kg/m²) during weight loss. All participants underwent a 16‐week hypocaloric weight‐loss program and were randomized to receive pioglitazone (30 mg/day) or no pioglitazone with or without resistance training, following a 2 × 2 factorial design. Regional body composition was measured at baseline and follow‐up using computed tomography (CT). Lean mass was measured using dual X‐ray absorptiometry. Men lost 6.6% and women lost 6.5% of initial body mass. The percent of fat loss varied across individual compartments. Men who were given pioglitazone lost more visceral abdominal fat than men who were not given pioglitazone (?1,160 vs. ?647 cm³, P = 0.007). Women who were given pioglitazone lost less thigh subcutaneous fat (?104 vs. ?298 cm³, P = 0.002). Pioglitazone did not affect any other outcomes. Resistance training diminished thigh muscle loss in men and women (resistance training vs. no resistance training men: ?43 vs. ?88 cm³, P = 0.005; women: ?34 vs. ?59 cm³, P = 0.04). In overweight/obese older men undergoing weight loss, pioglitazone increased visceral fat loss and resistance training reduced skeletal muscle loss. Additional studies are needed to clarify the observed gender differences and evaluate how these changes in body composition influence functional status.     

Resistance Training Preserves Fat‐free Mass Without Impacting Changes in Protein Metabolism After Weight Loss in Older Women

This study assessed the effects of resistance training (RT) on energy restriction–induced changes in body composition, protein metabolism, and the fractional synthesis rate of mixed muscle proteins (FSRm) in postmenopausal, overweight women. Sixteen women (age 68 ± 1 years, BMI 29 ± 1 kg/m², mean ± s.e.m.) completed a 16‐week controlled diet study. Each woman consumed 1.0 g protein/kg/day. At baseline (weeks B1–B3) and poststudy (weeks RT12–RT13), energy intake matched each subject's need and during weeks RT1–RT11 was hypoenergetic by 2,092 kJ/day (500 kcal/day). From weeks RT1 to RT13, eight women performed RT 3 day/week (RT group) and eight women remained sedentary (SED group). RT did not influence the energy restriction–induced decrease in body mass (SED ?5.8 ± 0.6 kg; RT ?5.0 ± 0.2 kg) and fat mass (SED ?4.1 ± 0.9 kg; RT ?4.7 ± 0.5 kg). Fat free mass (FFM) and total body water decreased in SED (?1.6 ± 0.4 and ?2.1 ± 0.5 kg) and were unchanged in RT (?0.3 ± 0.4 and ?0.4 ± 0.7 kg) (group‐by‐time, P ≤ 0.05 and P = 0.07, respectively). Protein–mineral mass did not change in either group (SED 0.4 ± 0.2 kg; RT 0.1 ± 0.4 kg). Nitrogen balance, positive at baseline (2.2 ± 0.3 g N/day), was unchanged poststudy. After body mass loss, postabsorptive (PA) and postprandial (PP) leucine turnover, synthesis, and breakdown decreased. Leucine oxidation and balance were not changed. PA and total (PA + PP) FSRm in the vastus lateralis were higher after weight loss. RT did not influence these protein metabolism responses. In summary, RT helps older women preserve FFM during body mass loss. The comparable whole‐body nitrogen retentions, leucine kinetics, and FSRm between groups are consistent with the lack of differential protein–mineral mass change.     

Using telehealth to increase participation in weight maintenance programs

Objective: To compare weight regain, satisfaction, and convenience among three weight maintenance programs: telehealth, traditional classes, and no program. Research Methods and Procedures: This quasi‐experimental study compared weight change, satisfaction, and convenience among three program types. The telehealth participants interacted with a registered dietitian (RD) through the web and e‐mail, traditional program participants attended a traditional classroom program, and no program participants received no interaction. Eighty‐seven subjects (14 men and 73 women) were enrolled in the study: 31 traditional, 31 telehealth, and 25 no program participants. Eligibility included participation in a community‐based weight loss program (Colorado Weigh) and minimum 7% weight loss before enrollment. Results: Subject characteristics at baseline were as follows: age, 50 ± 9.3 (standard deviation) years; height, 1.68 ± 0.09 m; weight, 80.5 ± 18.4 kg, with no significant differences between groups. Over 6 months, the traditional group lost 0.5 ± 4.3 kg, the telehealth group lost 0.6 ± 2.5 kg, and the no program group gained 1.7 ± 3.0 kg. Weight change among all three groups was significant (p = 0.02); no program participants gained significantly more weight than the telehealth and traditional groups. There were no differences in overall satisfaction between the telehealth and traditional groups (p = 0.43), but individuals in the telehealth group rated their program as more convenient compared with the traditional group (p = 0.0001). Discussion: These results show the usefulness of telehealth programs in long‐term weight loss maintenance. They may be a useful alternative for those who successfully lose weight in a structured behavioral program but do not choose to participate in a formal behavioral weight loss maintenance program.     

The beneficial effects of α-cyclodextrin on blood lipids and weight loss in healthy humans

α‐Cyclodextrin (α‐CD) is a soluble fiber derived from corn. It has previously been reported that early intervention with Mirafit fbcx, a trademarked name for α‐CD, has beneficial effects on weight management in obese individuals with type 2 diabetes, and that it preferentially reduces blood levels of saturated and trans fats in the LDL receptor knockout mice. The current investigation involves overweight but not obese nondiabetic individuals and was intended to confirm the effects of α‐CD on both weight management and improving blood lipid levels. Forty‐one healthy adults (age: 41.4 ± 13.6 years) participated in this 2‐month, double‐blinded, crossover study. In 28 compliant participants (8 males and 20 females), when the active phase was compared to the control phase, there were significant decreases in body weight (?0.4 ± 0.2 kg, P < 0.05), serum total cholesterol (mean ± s.e.m., ?0.295 ± 0.10 mmol/l, 5.3%, P < 0.02) and low‐density lipoprotein (LDL) cholesterol (?0.23 ± 0.11 mmol/l, ?6.7%, P < 0.05). Apolipoprotein B (Apo B) (?0.0404 ± 0.02 g/l, ?5.6%, P = 0.06) and insulin levels also decreased by 9.5% (?0.16 ± 0.08 pmol/l, P = 0.06) while blood glucose and leptin levels did not change. These results suggest that α‐CD exerts its beneficial health effects on body weight and blood lipid profile in healthy nonobese individuals, as previously reported in obese individuals with type 2 diabetes.     

Weight loss therapy improves pancreatic endocrine function in obese older adults

Objective: Obesity and aging increase the risk of type 2 diabetes (T2D). We evaluated whether weight loss therapy improves pancreatic endocrine function and insulin sensitivity in obese older adults. Methods and Procedures: Twenty‐four obese (BMI: 38 ± 2 kg/m²) older (age: 70 ± 2 years) adults completed a 6‐month randomized, controlled trial. Participants were randomized to diet and exercise (treatment group) or no therapy (control group). β‐Cell function (assessed using the C‐peptide minimal model), α‐cell function (assessed by the glucagon response to an oral glucose load), insulin sensitivity (assessed using the glucose minimal model), and insulin clearance rate were evaluated using a 5‐h modified oral glucose tolerance test. Results: Body weight decreased in the treatment group, but did not change in the control group (?9 ± 1% vs. 0 ± 1%; P < 0.001). Insulin sensitivity doubled in the treatment group and did not change in the control group (116 ± 49% vs. ?11 ± 13%; P < 0.05). Even though indices of β‐cell responsivity to glucose did not change (P > 0.05), the disposition index (DI), which adjusts β‐cell insulin response to changes in insulin sensitivity, improved in the treatment group compared with the control group (100 ± 47% vs. ?22 ± 9%; P < 0.05). The glucagon response decreased in the treatment but not in the control group (?5 ± 2% vs. 4 ± 4%; P < 0.05). Insulin secretion rate did not change (P > 0.05), but insulin clearance rate increased (51 ± 25%; P < 0.05), resulting in lower plasma insulin concentrations. Discussion: Weight loss therapy concomitantly improves β‐cell function, lowers plasma glucagon concentrations, and improves insulin action in obese older adults. These metabolic effects are likely to reduce the risk of developing T2D in this population.     

Prediction of measured weight from self‐reported weight was not improved after stratification by body mass index

Objective:

Self‐reported weight may underestimate measured weight. Researchers have tried to reduce the error using statistical models to predict weight from self‐reported weight. We investigate whether deriving equations within separate BMI categories improves the prediction of weight compared with an equation derived regardless of an individual's BMI.

Design and Methods:

The analysis included self‐reported and measured data from 20,536 individuals participating in the EPIC‐Norfolk study. In a derivation set (n = 15,381) two approaches were used to predict weight from self‐reported weight: (1) using a linear regression model with measured weight as outcome and self‐reported weight and age as predictors, and (2) using the same model fit separately within 3 strata defined by BMI (< 25, 25‐30, ≥30 kg m^?2). The performance of these approaches was assessed in a validation set (n = 5,155). Measured weight was compared to self‐reported weight and predicted weight.

Results:

Self‐reported weight underestimated measured weight (P < 0.0001): mean difference ?1.2 ± 3.1 kg (men), ?1.3 ± 2.5 kg (women). Underestimation was greater in obese participants (P < 0.0001). Predicted weight using approach 1 was not significantly different from measured weight (P < 0.05). However, in individuals with BMI < 25 kg m^?2, weight was overestimated in men (0.90 ± 3.87 kg) and women (0.57 ± 2.06 kg), but underestimated in overweight (?0.29 ± 3.58, ?0.20 ± 2.62 kg) and obese (?1.46 ± 5.05 kg, ?0.73 ± 3.54 kg) men and women.

Conclusions:

Using separate prediction equations in strata of BMI did not further improve prediction of weight. In conclusion, predicted weight was closer to measured weight compared with self‐reported weight, but using equations derived in strata of BMI did not further improve the prediction and are not recommended for prediction of weight.

     

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.     

Influence of weekend lifestyle patterns on body weight

Objective: To determine whether alterations in diet and/or activity patterns during weekends contribute to weight gain or hinder weight loss. Methods and Procedures: Randomized, controlled trial comparing 1 year of caloric restriction (CR) with 1 year of daily exercise (EX). Subjects included 48 healthy adults (30F, 18M) aged 50–60 years with BMI 23.5–29.9 kg/m². Body weight was measured on 7 consecutive mornings for a total of 165 weeks at baseline and 437 weeks during the 1‐year interventions. Daily weight changes were calculated for weekends (Friday to Monday) and weekdays (Monday to Friday). Daily energy intake was estimated using food diaries; daily physical activity was measured using accelerometers. Both measures were validated against doubly labeled water (DLW). Results: At baseline, participants consistently gained weight on weekend days (+0.06 ± 0.03 kg/day, (mean ± s.e.), P = 0.02), but not on weekdays (?0.02 ± 0.02 kg/day, P = 0.18). This was attributable to higher dietary intake on Saturdays and lower physical activity on Sundays relative to weekdays (both P < 0.05). During the interventions, both CR and EX participants were in negative energy balance on weekdays (P < 0.005). On weekends, however, CR participants stopped losing weight, and EX participants gained weight (+0.08 ± 0.03 kg/day, P < 0.0001) due to higher dietary intakes on weekends. This helps to explain the slower‐than‐expected rate of weight loss during the interventions. Discussion: Alterations in lifestyle behaviors on weekends contribute to weight gain or cessation of weight loss on weekends. These results provide one explanation for the relatively slow rates of weight loss observed in many studies, and the difficulty with maintaining significant weight loss.     

Maintenance of weight loss in overweight middle-aged women through the Internet

Objective: The purpose of this study was to compare weight regain in a group of perimenopausal women (48.0 ± 4.4 years old), randomized to a 12‐month weight maintenance Internet intervention or to self‐directed weight maintenance after a 4‐month weight loss treatment. Methods and Procedures: After a 4‐month behavioral weight loss program, 135 women were randomized to either Internet or self‐directed groups. The Internet group (n = 66) used a website to gain information and complete logs concerning their weight, diet, and exercise progress over a 12‐month follow‐up. The 69 self‐directed women had no contact with study staff. All women were measured for weight and body composition, and diet intake, and were interviewed using the 7‐day physical activity questionnaires at baseline, 4 months, and 16 months. Results: At the end of the 12‐month follow‐up, the Internet and self‐directed groups had regained on average 0.4 ± 5.0 kg and 0.6 ± 4.0 kg, respectively (P = 0.5). In within‐group analyses, Internet diet‐log entries were correlated with follow‐up weight change (r = ?0.29; P < 0.05) and moderately with change in exercise energy expenditure (EEE; r = 0.44; P < 0.01). Follow‐up weight change was not correlated with change in dietary intake. Discussion: While significant weight loss was maintained over follow‐up by both groups of women, Internet use did not surpass self‐direction in helping to sustain weight loss. Among Internet users, Internet use was related to weight change and EEE.     

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.     

Effect of group racial composition on weight loss in African Americans

Objective: We do not know how racial composition of a group influences behavior change for African Americans (AAs) in group‐based weight loss programs. We tested the hypothesis that AA who participate in all AA weight loss intervention groups will lose more weight than AA who participate in mixed race groups. Methods and Procedures: This observational study was ancillary to Phase 1 of the Weight Loss Maintenance Study, a multi‐center trial of strategies to maintain weight loss after a 20‐week behavior modification program. Three of four centers recruited several all‐AA intervention groups. Remaining groups were combinations of AA and non‐AA participants. All participants received the same weight loss intervention. Change in weight was the primary outcome, comparing participants of all‐AA groups with AA participants of mixed race groups conducted by the same AA interventionists. Secondary outcomes included measures of intervention adherence and behavior change. Results: Participants of all‐AA groups (n = 271) were comparable to other AA participants (n = 106). The mean proportion of AA in mixed race groups was 56%. All‐AA group participants had similar weight loss as those in mixed groups (?4.2 vs. ?4.2 kg, P = 0.97). There were no differences between the groups in mean number of sessions attended or changes in dietary intake. Discussion: Significant weight loss was observed in both groups, with no effect of group composition on adherence or weight loss outcomes. Special logistics to accommodate all‐AA groups may not be necessary. Despite varying instructional environments, AA appeared to respond positively to intervention messages with significant changes in dietary intake, physical activity (PA), and weight.     

A randomized controlled pilot study testing three types of health coaches for obesity treatment: Professional,peer, and mentor

Despite their popularity, empirical support for health coaches is limited.

Objective:

This study examined the feasibility and preliminary efficacy of three types of coaching models for obesity treatment.

Design and Methods:

Participants (N = 44) were randomized to 6 months of reduced intensity group behavioral weight loss (rBWL) plus one of three types of health coaches: (i) Professional (rBWL interventionist), (ii) Peer (group members randomly paired and coached one another), or (iii) Mentor (successful weight loser). Groups met weekly for the first 6 weeks, biweekly for the next 6 weeks, and monthly thereafter, for a total of 12 meetings. During weeks that group did not meet, participants emailed their weight loss information to their coach and received feedback. Coaches were trained on appropriate coaching strategies and feedback delivery.

Results:

Retention was 95%. Participants emailed their progress to their coach 10.8 ± 1.9 of the 12 weeks that there were no group meetings. Coaches responded with feedback 94% of the time. Percent weight losses at 6 months were 9.6 ± 8.1, 9.1 ± 5.0, and 5.7 ± 5.6 for the Professional, Peer, and Mentor conditions, respectively. More participants in the Professional and Peer conditions lost 10% of their initial body weight (Professional: 56% Peer: 50% and Mentor: 17%), with a statistically significant difference between the Professional and Mentor conditions (P = 0.03).

Conclusion:

These preliminary data suggest that combining a rBWL program with health coaching may hold significant promise as a cost‐effective obesity treatment paradigm. Larger trials are needed to conclusively determine whether adding coaches improves weight loss outcomes in reduced intensity treatments and to examine which type of coach is most effective.     

Impact of participant and interventionist race concordance on weight loss outcomes

Objective:

We have previously shown that racial composition of behavioral intervention groups does not affect achieved weight loss. However, it is unclear if the race of the interventionist affects intervention outcomes. The objective of this analysis is to estimate the impact of race concordance between participant and interventionist on weight change in the initial weight loss phase (phase I) of the Weight Loss Maintenance trial (WLM).

Design and Methods:

A total of 1,685 overweight or obese adults (BMI 25‐45 kg/m²) who were taking medication for hypertension and/or dyslipidemia participated in phase I of the WLM trial. All participants received a 6‐month intensive behavioral intervention in groups of 15‐20 facilitated by a trained interventionist. The main outcome is change in weight at 6 months.

Results:

Participants were on average 55 years of age, 67% female and 44% African American (AA). Three of seventeen interventionists were AA, 14 were non‐AA. Seventy‐three percent of participants shared race concordance with the interventionist. There was a small but statistically significant difference in weight change of participants who were the same race as the interventionist (?5.84 kg, s.e. 0.17) as compared with those who were not race concordant (?5.04 kg, s.e. 0.33), a difference of 0.8 kg, (P = 0.04). The impact of concordance on weight change differed by race (i.e., interaction of race and concordance was significant, P = 0.02).

Conclusions:

In a post hoc analysis of a group‐based behavioral intervention, race concordance for non‐AA participants was associated with slightly greater weight loss. Race concordance was not associated with weight loss for AA participants.

     

Obesity Reduction Black Intervention Trial (ORBIT): 18‐Month Results

Obesity is a chronic condition that is prevalent in black women. The Obesity Reduction Black Intervention Trial (ORBIT) was a randomized controlled weight loss and weight‐loss maintenance (WLM) trial. Participants (N = 213) were randomized to the intervention or control groups in August 2005 and September 2006. Follow‐up data were collected 6 and 18 months after randomization. The main outcome was change in weight and BMI from baseline to 18 months. The mean weight at baseline was 104.9 kg, and the mean weight loss in the intervention group at 6 months was 3.0 kg and a gain of 0.2 kg in the control group (mean difference between groups in weight change at 6 months, adjusting for baseline weight and cohort, ?3.27 kg; 95% confidence interval (CI), ?4.50 to ?2.05 kg; P < 0.001). Both groups gained weight between 6 and 18 months (mean 1.0 kg in the intervention group and 0.1 kg in the control group). However, intervention participants lost significantly more weight than control participants during the 18‐month intervention (adjusted mean difference between groups at 18 months, ?2.83 kg; 95% CI, ?4.71 to ?0.95; P = 0.003). At 18 months, intervention participants were more likely than control participants to have lost at least 5% of baseline weight (24% vs. 12%, P < 0.04). Our results indicate that the ORBIT program did promote weight loss and weight‐loss maintenance. However, the results also clearly illustrate there is more to learn about what will contribute to meaningful weight loss and maintenance in this population.     

Weight loss can lead to resolution of gastroesophageal reflux disease symptoms: A prospective intervention trial

Objective: Weight gain is an important risk factor for gastroesophageal reflux disease (GERD); however, whether weight loss can lead to resolution of GERD symptoms is not clear. Our aim was to measure the impact of weight loss on GERD symptoms. Design and Methods: In a prospective cohort study at a tertiary referral center, overweight/obese subjects (BMI 25‐39.9 kg/m2) were enrolled in a structured weight loss program. Weight loss strategies included dietary modifications, increased physical activity and behavioral changes. At baseline and at 6 months, BMI and waist circumference were measured and all participants completed a validated reflux disease questionnaire. Results: A total of 332 adult subjects, mean age 46 years and 66% women were prospectively enrolled. At baseline, the mean body weight, BMI, and waist circumference were 101 (±18) kg, 35 (±5) kg/m2 and 103 (±13) cm. At 6 months, majority of the subjects (97%) lost weight (average weight loss: 13 ± 7.7 kg) and as compared with baseline, there was a significant decrease in the overall prevalence of GERD (15 vs. 37%; P < 0.01) and the mean GERD symptom score (1.8 vs. 5.5; P < 0.01). Overall, 81% of the subjects had reduction in GERD symptom scores; 65% had complete resolution and 15% had partial resolution of reflux symptoms. There was a significant correlation between % body weight loss and reduction in GERD symptom scores (r = 0.17, P < 0.05). Conclusions: In conclusion, the overall prevalence of GERD symptoms is high (37%) in overweight and obese subjects. A structured weight loss program can lead to complete resolution of GERD symptoms in the majority of these subjects.