Weight Loss Expectations in Obese Patients and Treatment Attrition: An Observational Multicenter Study

Objective: To investigate the influence of weight loss expectations (expected 1‐year BMI loss, dream and maximum acceptable BMI) on attrition in obese patients seeking treatment. Research Methods and Procedures: Obese subjects (1785; 1393 women; median age, 46 years; median BMI, 36.7 kg/m²) seeking treatment in 23 medical Italian centers were evaluated. Baseline diet and weight history, weight loss expectations, and primary motivation for seeking treatment (health or improving appearance) were systematically recorded. Psychiatric distress, binge eating, and body image dissatisfaction were tested at baseline by self‐administered questionnaires (Symptom Check List‐90, Binge Eating Scale, and Body Uneasiness Test). Attrition and BMI change at 12 months were prospectively recorded. Results: At 12 months, 923 of 1785 patients (51.7%) had discontinued treatment. Compared with continuers, drop‐outs had a significantly lower age, a lower age at first dieting, lower dream BMI, a higher expected 1‐year BMI loss, and a higher weight phobia. At logistic regression analysis, the strongest predictors of attrition at 12 months were lower age and higher expected 1‐year BMI loss. The risk of drop‐out increased systematically for unit increase in expected BMI loss at 12 months (hazard ratio, 1.12; 95% confidence interval, 1.04 to 1.20; p = 0.0018). The risk was particularly elevated in the first 6 months. Discussion: Baseline weight loss expectations are independent cognitive predictors of attrition in obese patients entering a weight‐losing program; the higher the expectations, the higher attrition at 12 months. Unrealistic weight goals should be tackled at the very beginning of treatment.     

Predictors of attrition and weight loss in an adolescent weight control program

Objective: To evaluate demographic and psychosocial predictors of attrition and weight loss in a behaviorally based adolescent weight control trial. Methods and Procedures: Adolescents (N = 76) aged 13–16 years and 20–80% overweight (M = 60.56%, s.d. = 15.17%) received standard group‐based behavioral treatment as part of a randomized trial comparing different activity interventions for overweight adolescents. Anthropometric and psychosocial measures were obtained at baseline and after the 16‐week intervention. Results: Higher parent (P < 0.01) and adolescent BMI (P < 0.05) at baseline, as well as ethnic minority status (P < 0.05) were significantly associated with attrition in univariate analyses. Parent BMI remained the only significant predictor of attrition in multivariate analyses. BMI change for completers (N = 62) was highly variable, ranging from ?6.09 to +1.62 BMI units. Male gender (P < 0.01) was a significant predictor of reduction in BMI, whereas not being from an ethnic minority group (P < 0.05) and attendance at group sessions (P = 0.05) were associated with ≥5% absolute weight loss in multivariate analyses. Absolute weight loss during the first 4 weeks of the program was strongly associated with weight loss (pr = 0.44, P < 0.001) during the remainder of the intervention. Psychosocial variables were unrelated to attrition or treatment outcome. Discussion: These findings highlight the potential importance of attending to parental BMI in efforts to retain adolescent participants in treatment, as well as the need to develop weight control interventions that are more effective for ethnic minority youth.     

Development and Evaluation of Patient‐Centered Software for a Weight‐Management Clinic

Objective: To describe a weight‐management clinic software system and to report on its preliminary evaluation. Research Methods and Procedures: The software system standardizes the collection of relevant patient information from an initial medical assessment, weekly clinic visits, and laboratory testing protocol of a medically supervised proprietary meal‐replacement program in a university‐based referral clinic. It then generates monthly patient feedback reports with graphs of clinical and laboratory parameters to support a patient‐centered approach to weight management. After patients and clinic physicians review the data to ensure accuracy, the database is used for subsequent patient feedback reports, reports to referring physicians, quality assurance, and research. Clinic physicians and referring physicians were asked to rate their acceptance of the system. In addition, in a retrospective analysis of data generated by the system, outcomes for patients who received system‐generated feedback (n = 620) were compared with those who participated in the program before the introduction of feedback (n = 130). Results: Clinic and referring physicians reported that they had high overall satisfaction with the software and that the system saved them time, and the latter group reported that it decreased laboratory use. Regarding patients, the feedback group had lower dropout rates in the latter half of the program, better rates of attendance, completion of laboratory tests, and weight loss after 8 weeks. Discussion: The software seems to facilitate the effectiveness of the treatment protocol for obesity and generates a high‐quality database for patient care, clinic administration, quality assurance, and research purposes.     

Change in weight‐for‐length status during the first three months: Relationships to birth weight and implications for metabolic risk

Weight‐for‐length during the early postnatal period is a critical predictor of subsequent body composition and metabolic risk. This study was designed to analyze change in weight‐for‐length status according to birth weight in early infancy. Data were collected for 267 infants enrolled in the Jackson County Women, Infants, and Children (WIC) program. Postnatal measurements were collected at a clinic visit between birth and 12 weeks of age (mean = 5.7 weeks). Changes inWHO z‐scores (weight, length, weight‐for‐length) between birth and the clinic visit were calculated. Infants were classified as exclusively breastfed or as formula‐fed. Ethnicity was coded as Hispanic or non‐Hispanic. Infants were classified based on birth weight z‐score as lower ( +1 SD). Multiple regression models tested birth weight, demographic factors, and feeding as predictors of z‐score change measures. Demographic factors and feeding were also tested as moderators of the effects of birth weight. Lower birth weight infants displayed an increase in weight‐for‐length z‐score between birth and the clinic visit. Change in weight‐for‐length was associated with significant increase in weight z‐score but not in length z‐score. Higher birth weight predicted decrease in weight and length z‐scores but did not predict change in weight‐for‐length. Hispanic ethnicity predicted decrease in length z‐score and increase in weight‐for‐length z‐score but did not moderate effects of birth weight. Increase in weight‐for‐length among lower birth weight infants and persistence of high weight‐for‐length among higher birth weight infants may reflect phenotypic adjustments that are maladaptive in adverse dietary environments. Am J Phys Anthropol, 2013. © 2012 Wiley Periodicals, Inc.     

A 30‐year Follow‐up of the Effects of Child Abuse and Neglect on Obesity in Adulthood

Childhood maltreatment has been implicated as a risk factor for adult obesity. We describe the first prospective assessment of adult obesity in individuals with documented histories of childhood physical and sexual abuse and neglect and a matched comparison group in a 30‐year follow‐up. Using a prospective cohort design, children with court substantiated cases of physical and sexual abuse and neglect (ages 0–11 years) from a Midwest county during 1967–1971 (n = 410) were matched with children without histories of abuse or neglect on age, sex, race/ethnicity and approximate family social class (n = 303) and followed up and assessed at mean age 41. Outcome measures include BMI and obesity assessed in 2003–2004 as part of a medical status examination and interview. Childhood physical abuse predicted significantly higher BMI scores in adulthood (β = 0.14, P < 0.05), even controlling for demographic characteristics, cigarette smoking, and alcohol consumption (β = 0.16, P < 0.01). Childhood sexual abuse (β = 0.07, not significant) and neglect (β = 0.02, not significant) were not significant predictors of adult BMI scores. These results demonstrate the long‐term impact of childhood physical abuse on weight into adulthood and suggest that physically abused children may be at risk for other adverse health outcomes associated with increased weight. Health professionals need to understand this risk for physically abused children and researchers should identify and evaluate strategies for effective interventions.     

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.     

Young Adults' Performance in a Low‐Intensity Weight Loss Campaign

Young adults (YA) are underrepresented in behavioral weight loss programs and achieve poorer outcomes than older adults (OA). There has been a call to develop programs specifically targeting this age group. This study examined the performance of YA enrolled in a low‐intensity, team‐based weight loss campaign and compared their outcomes to OA to determine the utility of such an approach for weight loss in this population. Shape Up Rhode Island (SURI) 2009 was a 12‐week online team‐based weight loss and exercise competition (N = 6,795, 81% female, 94% white, age = 44.7 ± 11.2, BMI = 29.4 ± 5.9). YA was defined as 18–35 years and OA as >35 years; YA and OA were compared on enrollment, retention, weight loss, and change in steps. A total of 1,562 YA enrolled and 715 completed the program. Fewer YA completed compared with OA (46 vs. 62%, P < 0.001). However, among completers, YA achieved greater percent weight loss (‐4.5 ± 4.0 vs. ?3.8 ± 3.2%) and greater daily step change (+1,578.2 ± 3,877.2 vs. +1,342.2 ± 3,645.7) than OA (P's < 0.001). Further, more YA completers achieved a ≥5% weight loss (40 vs. 29%, P < 0.001). Findings were consistent in the overweight/obese (OW/OB) subsample, and using ≤25 years of age as the cut off for YA. Weight losses among YA in this low‐intensity weight loss campaign were quite promising, with over 700 YA completing the program and on average achieving a 4.5% weight loss. Indeed, the potential public health impact of such an approach is substantial; future efforts to develop programs for this age group may benefit from using a low‐intensity, team‐based approach.     

Mediators of Weight Loss in a Family‐Based Intervention Presented over the Internet

Objective: To assess the process variables involved in a weight loss program for African‐American adolescent girls. Several process variables have been identified as affecting success in in vivo weight loss programs for adults and children, including program adherence, self‐efficacy, and social support. The current study sought to broaden the understanding of these process variables as they pertain to an intervention program that is presented using the Internet. It was hypothesized that variables such as program adherence, dietary self‐efficacy, psychological factors, and family environment factors would mediate the effect of the experimental condition on weight loss. Research Methods and Procedures: Participants were 57 adolescent African‐American girls who joined the program with one obese parent; family pairs were randomized to either a behavioral or control condition in an Internet‐based weight loss program. Outcome data (weight loss) are reported for the first 6 months of the intervention. Results: Results partially supported the hypotheses. For weight loss among adolescents, parent variables pertaining to life and family satisfaction were the strongest mediating variables. For parental weight loss, changes in dietary practices over the course of 6 months were the strongest mediators. Discussion: The identification of factors that enhance or impede weight loss for adolescents is an important step in improving weight loss programs for this group. The current findings suggest that family/parental variables exert a strong influence on weight loss efforts for adolescents and should be considered in developing future programs.     

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 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.     

Does Binge Eating Disorder Impact Weight‐Related Quality of Life?

Objectives: To determine whether binge eating disorder (BED) impacts weight‐related quality of life in obese individuals seeking weight loss treatment and to investigate the role of psychological symptoms, BMI, and demographic variables in the relationship between BED and weight‐related quality of life. Research Methods and Procedures: Three hundred seventeen women (BMI = 37.6) and 213 men (BMI = 41.3) completed questionnaires on admission into an intensive residential lifestyle modification program. Weight‐related quality of life was assessed using the Impact of Weight on Quality of Life‐Lite (IWQOL‐Lite). The presence of BED was determined using the Questionnaire on Eating and Weight Patterns‐Revised. Psychological symptoms were assessed using the Beck Depression Inventory and the global severity index of the Symptom Checklist 90‐R. Results: BED prevalence in this sample was 17.9%. Participants with BED, in comparison with those without BED, were more likely to be women (75.8% vs. 56.3%, p < 0.001), younger (45.0 vs. 49.7 years, p = 0.003), white (98.9% vs. 91.7%), heavier (BMI = 42.0 vs. 38.5, p = 0.002), psychologically distressed, and more impaired on total IWQOL‐Lite (51.5 vs. 65.3, p < 0.001) and all IWQOL‐Lite subscales. However, after controlling for demographic variables, BMI, and psychological symptoms, BED was not independently associated with weight‐related quality of life. Discussion: The association between BED and impairment in quality of life that has been previously reported in the literature may largely be accounted for by differences between those with and without BED on demographic variables, BMI, and psychological symptoms. BED does not seem to independently impact weight‐related quality of life.     

Achieving Weight and Activity Goals Among Diabetes Prevention Program Lifestyle Participants

Objective: The Diabetes Prevention Program (DPP) showed that intensive lifestyle intervention reduced the risk of diabetes by 58%. This paper examines demographic, psychosocial, and behavioral factors related to achieving weight loss and physical activity goals in the DPP lifestyle participants. Research Methods and Procedures: Lifestyle participants (n = 1079; mean age = 50.6, BMI = 33.9, 68% female, and 46% from minority groups) had goals of 7% weight loss and 150 min/wk of physical activity. Goal achievement was assessed at the end of the 16‐session core curriculum (approximately week 24) and the final intervention visit (mean = 3.2 years) as a function of demographic, psychosocial, and behavioral variables. Results: Forty‐nine percent met the weight loss goal and 74% met the activity goal initially, while 37% and 67%, respectively, met these goals long‐term. Men and those with lower initial BMI were more likely to meet activity but not weight loss goals. Hispanic, Asian, and Native Americans were more likely to meet the long‐term activity goals, and whites were more likely to meet the initial weight loss goal. In multivariate analyses, meeting the long‐term weight loss goal and both activity goals increased with age, while psychosocial and depression measures were unrelated to goal achievement. Dietary self‐monitoring was positively related to meeting both weight loss and activity goals, and meeting the activity goal was positively related to meeting the weight loss goal. Participants who met initial goals were 1.5 to 3.0 times more likely to meet these goals long‐term. Discussion: Success at meeting the weight loss and activity goals increased with age. Initial success predicted long‐term success. Self‐monitoring and meeting activity goals were related to achieving and sustaining weight loss.     

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.     

Weight Goals in a College‐age Population

Objective: Although a growing body of literature has found unrealistic weight loss goals to be common among older, primarily female, subjects, little is known about weight loss goals of younger adults. Research Methods and Procedures: Three hundred seventy‐nine college students had their height and weight taken and reported their “goal,” “dream,” “happy,” “acceptable,” and “disappointed” weights. A series of 2 (gender) × 2 (nonoverweight vs. overweight) ANOVAs were conducted with both absolute weight goals and percentage of weight loss needed to obtain those goals as dependent variables. Results: When examined in terms of absolute weight goals, women generally had lower body mass index (BMI) goals than men, and nonoverweight participants had lower BMI goals than overweight participants. Surprisingly, most overweight participants would accept a weight loss that would still place them in the overweight BMI range. When examined in terms of percentage loss needed to reach those goals, only overweight women chose goal and dream weights that would require a loss greater than can be expected from nonsurgical weight‐loss treatments, and all overweight participants chose happy and acceptable weights within 15% of current weight. Discussion: Participants in this study had generally reasonable weight‐loss goals, and even the most extreme weight loss goals were much more moderate than those found in previous studies. These results are surprising given the extreme social pressures for thinness facing young adults. Future studies should examine the variables that influence selection of goal weights and how goal weights affect actual dieting behavior.     

A pediatric weight management program for high-risk populations: a preliminary analysis

Objective: To determine whether a multidisciplinary pediatric weight management program effectively improves BMI, BMI z‐score, and cardiovascular risk factors (CVRFs) in high‐risk populations. Methods and Procedures: A retrospective chart review was performed on children seen in the NEW Kids Program at the Children's Hospital of Wisconsin, a family‐based clinic that treats pediatric obesity using medical management, nutrition education, behavioral intervention, and physical activity. Inclusion criteria were program participation for ≥9 months and >4 visits. Analyses were performed to identify factors associated with pre‐ to postintervention changes in BMI, BMI z‐score, and CVRF laboratory values. Results: A total of 66 patients met inclusion criteria; the mean age was 11 years (s.d. ± 3.4), 56% were racial/ethnic minorities, 45% were Medicaid recipients, 48% resided in impoverished communities, and 38% had a BMI ≥40 kg/m². Of the 66 patients, 91% had more than one weight‐related comorbidity, 88% had CVRFs, and the preintervention mean BMI was 37 kg/m². After the intervention, there was an overall increase in absolute BMI, but a small, yet significant decrease in BMI z‐score (mean ?0.03 ± 0.16; P < 0.05). There were significant pregroup to postgroup improvements in total cholesterol, low‐density lipoprotein, and triglycerides levels (P < 0.05). Insurance coverage, race/ethnicity, gender, age, and initial BMI were not significantly associated with changes in BMI or BMI z‐score. Discussion: A multidisciplinary pediatric weight management program can improve the weight status of high‐risk populations, including minorities, Medicaid recipients, patients with multiple comorbidities and CVRFs, and the severely obese.     

Patient characteristics as predictors of weight loss after an obesity treatment for children

Objective: To examine pretreatment patient characteristics as predictors of treatment outcome 2 years after completion of an inpatient treatment for children with obesity. Research Methods and Procedures: Children (N = 122) ranging in age from 7 to 17 years [mean, 12.7 ± 2.3 (SD) years] with a mean adjusted BMI of 179.5 ± 28.6% participated in an inpatient obesity treatment program. Children (90.2% response rate) participated in the 2‐year follow‐up. Eight predictors, administered at baseline, were entered in separate regression analyses, with weight loss and changes on three psychological health measures as the outcome measures. Results: Analyses revealed that baseline degree of overweight, age, and initial weight loss were significant positive predictors of weight loss 2 years after treatment, whereas eating disorder characteristics were a negative predictor. Sex, socioeconomic status, global self‐esteem, and symptoms of psychopathology did not predict weight loss. With regard to the psychological outcome measures, baseline symptomatology emerged as the most important predictor of treatment changes. Discussion: Long‐lasting weight loss is associated with severity of pretreatment characteristics. Identification of the clinical markers for long‐term response to treatment is useful to set realistic weight loss goals for clients and to tailor treatment programs to patient characteristics.     

Gastric Bypass in a Low‐Income,Inner‐City Population: Eating Disturbances and Weight Loss

Objective: To examine the prevalence of eating disturbances and psychiatric disorders among extremely obese patients before and after gastric bypass surgery and to examine the relationship between these disturbances and weight outcomes. Research Methods and Procedures: Sixty‐five women patients (ages 19 to 67) with a mean BMI of 54.1 were assessed by semistructured psychiatric interview before surgery and by telephone interview after surgery (mean follow‐up: 16.4 months) to determine psychiatric status, eating disturbances, and weight and health‐related variables. Results: Patients lost a mean of 71% of their excess BMI, with significantly poorer weight loss outcomes among African Americans. Psychiatric disorders remained prevalent before (37%) and after (41%) surgery. In contrast, binge eating disorder dropped from 48% to 0%. Psychiatric diagnosis did not affect weight outcomes. Instead, more frequent preoperative binge eating, along with greater initial BMI, follow‐up length, and postoperative exercise, predicted greater BMI loss. Postsurgical health behaviors (exercise and smoking) and nocturnal eating episodes were also linked to weight loss. Exercise frequency increased and smoking frequency tended to decrease after surgery. Discussion: These findings indicated that eating and psychiatric disturbances did not inhibit weight loss after gastric bypass and should not contraindicate surgery. Prior binge eating, eliminated after surgery, predicted BMI loss and, thus, may have previously been a maintaining factor in the obesity of these patients. The association between health behaviors and outcome suggests possible targets for intervention to improve surgical results. Poorer outcomes among African Americans indicate that these patients should be closely monitored and supported after surgery.     

Treatment of Morbid Obesity in Low‐income Adolescents: Effects of Parental Self‐monitoring

Objective: This study examined the extent to which consistency of self‐monitoring by participants and their parents was related to weight control over an initial period of 3 months within the context of a treatment program for morbidly obese low‐income minority adolescents. Research Methods and Procedures: Eighty‐three obese adolescents (mean age, 13.0 years; 51% boys; 92% African American; mean BMI, 43.0 kg/m²; mean BMI z‐score, 6.0) and at least one parent participated in a long‐term treatment program that included a very‐low‐fat dietary focus, weekly group cognitive‐behavior therapy, monthly nutrition education classes, a 12‐week physical therapy class, and medical monitoring. Results: Participants who self‐monitored on the majority of days compared with those who did not self‐monitor at all or who self‐monitored infrequently attended more sessions and generally lost more weight over the first 3 months. Although parents signed behavioral contracts committing to self‐monitor their own eating and exercising over the first month, only 12% did so. Nonetheless, participants whose parents self‐monitored were much more likely to self‐monitor consistently and lose weight during the first 3 months. Discussion: These results indicate that self‐monitoring is a cornerstone of successful weight control even for morbidly obese low‐income minority adolescents; targeting consistency of self‐monitoring among these high‐risk weight controllers and their parents should be just as important as it is for more affluent and less overweight adolescents.     

Assessment of Global Coronary Heart Disease Risk in Overweight and Obese African‐American Women

Objective : To examine, with the use of national guidelines, coronary heart disease (CHD) risk with increasing BMI for primary prevention in urban African‐American women. Research Methods and Procedures : Participants were recruited for CHD risk factor screening from 20 churches as part of a larger study of nutrition and fitness (Project Joy). All participants had a demographic, smoking and medical history assessment, and the following measurements were taken: weight, height, waist circumference, blood pressure, lipid levels, and glucose. Three methods of defining risk, the Framingham Point Scoring System, a count of risk factors, and the presence of the multiple metabolic syndrome, based on the National Cholesterol Education Program Adult Treatment Panel III Report and BMI classes established by the Clinical Guidelines, were used. Results : A total of 396 women were eligible. Participants were 40 to 80 years of age and had marked excess prevalence of overweight and obesity (84%); 55% were obese. There was a linear increase in risk factors as BMI increased. Lipids did not differ significantly among BMI classifications. Seventeen percent of women had multiple metabolic syndrome. Eight percent and 16% of women in the normal and overweight BMI classes, respectively, had two or more modifiable risk factors. There was no difference in number of modifiable risk factors among the obese classes. The Framingham Point Scoring System assigned a <10% risk of a hard CHD event in 10 years to 97% of the women. Discussion : National risk assessment guidelines for primary prevention of CHD may not be adequate for overweight and obese urban African‐American women and require further study.     

The Relation of Body Mass Index,Cardiorespiratory Fitness,and All‐Cause Mortality in Women

Objective: To examine the relation of body mass index (BMI), cardiorespiratory fitness (CRF), and all‐cause mortality in women. Research Methods and Procedures: A cohort of women (42.9 ± 10.4 years) was assessed for CRF, height, and weight. Participants were divided into three BMI categories (normal, overweight, and obese) and three CRF categories (low, moderate, and high). After adjustment for age, smoking, and baseline health status, the relative risk (RR) of all‐cause mortality was determined for each group. Further multivariate analyses were performed to examine the contribution of each predictor (e.g., age, BMI, CRF, smoking status, and baseline health status) on all‐cause mortality while controlling for all other predictors. Results: During follow‐up (113,145 woman‐years), 195 deaths from all causes occurred. Compared with normal weight (RR = 1.0), overweight (RR = 0.92) and obesity (RR = 1.58) did not significantly increase all‐cause mortality risk. Compared with low CRF (RR = 1.0), moderate (RR = 0.48) and high (RR = 0.57) CRF were associated significantly with lower mortality risk (p = 0.002). In multivariate analyses, moderate (RR = 0.49) and high (RR = 0.57) CRF were strongly associated with decreased mortality relative to low CRF (p = 0.003). Compared with normal weight (RR = 1.0), overweight (RR = 0.84) and obesity (RR = 1.21) were not significantly associated with all‐cause mortality. Discussion: Low CRF in women was an important predictor of all‐cause mortality. BMI, as a predictor of all‐cause mortality risk in women, may be misleading unless CRF is also considered.