Weight Cycling and the Risk of Developing Type 2 Diabetes among Adult Women in the United States

Objective: To assess the role of weight cycling independent of BMI and weight change in predicting the risk of developing type 2 diabetes. Research Methods and Procedures: A six‐year follow‐up of 46, 634 young and middle‐aged women in the Nurses’ Health Study II was conducted. Women who had intentionally lost ≥20 lbs at least three times between 1989 and 1993 were classified as severe weight cyclers. Women who had intentionally lost ≥10 lbs at least three times were classified as mild weight cyclers. The outcome was physician‐diagnosed type 2 diabetes. Results: Between 1989 and 1993, ～20% of the women were mild weight cyclers, and 1.6% were severe weight cyclers. BMI in 1993 was positively associated with weight‐cycling status (p < 0.001). During 6 years of follow‐up (1993 to 1999), 418 incident cases of type 2 diabetes were documented. BMI in 1993 had a strong association with the risk of developing diabetes. Compared with women with a BMI between 17 and 22 kg/m², those with a BMI between 25 and 29.9 kg/m² were approximately seven times more likely to develop diabetes, and those with a BMI ≥35 kg/m² were 63 times more likely to be diagnosed with type 2 diabetes. After adjustment for BMI, neither mild (relative risk = 1.11, 95% confidence interval, 0.89 to 1.37) nor severe (relative risk = 1.39, 95% confidence interval, 0.90 to 2.13) weight cycling predicted risk of diabetes. Discussion: Weight cycling was strongly associated with BMI, but it was not independently predictive of developing type 2 diabetes.     

Weight Change and Risk of Developing Type 2 Diabetes

Objective: To examine the association between weight change and risk of type 2 diabetes and whether initial weight modifies the association. Research Methods and Procedures: This is a prospective cohort study of 20, 187 alumni from Harvard University and the University of Pennsylvania. At baseline in 1962 or 1966, men (mean age, 45.9 years) reported their weight, height, and other risk factors. They also had had their weight and height measured at university entry (mean age, 18.5 years). Participants were followed from baseline to 1998 for type 2 diabetes. Results: During follow‐up, 1223 men developed type 2 diabetes. Weight gain significantly increased the risk of this disease. The multivariate relative risks associated with BMI change from university entry to baseline of <?0.5, ±0.5, >0.5 to 1.0, >1.0 to 1.5, >1.5 to 2.0, >2.0 to 3.0, and >3.0 kg/m² per decade were 0.88, 1.00 (referent), 1.29, 2.09, 2.69, 4.67, and 7.02, respectively (p for trend < 0.0001). Even among men with a low initial BMI < 21 kg/m², weight gain significantly increased risk; the corresponding relative risks were (no cases), 1.00 (referent), 1.00, 1.93, 2.47, 4.82, and 7.68, respectively (p for trend < 0.0001). Discussion: A low initial BMI does not ameliorate the increase in risk of type 2 diabetes with weight gain. Avoidance of weight gain, even among lean individuals, is important to reduce the risk of this disease.     

Major Depression Predicts an Increase in Long‐Term Body Weight Variability in Young Adults

Objective: To test the hypothesis that major depression predicts an increase in long‐term body weight variability (BWV). Research Methods and Procedures: This was a prospective community‐based single‐age cohort study of young adults (N = 591) followed between the ages of 19 and 40. Following initial screening, information was derived from six subsequent semistructured diagnostic interviews conducted by mental health professionals. Major depression was diagnosed on the basis of DSM criteria. BWV was defined as the root mean square error of a regression line fitted to each individual's BMI values over time. Multiple regression analysis was used to test the association between major depression and BWV while controlling for potentially confounding variables including antidepressant treatment, eating disorder symptoms, and physical activity. We used random effects models to determine the temporal relationship between repeated measures of major depression and body weight change. Results: A highly significant positive association between major depression and BWV was found, whereas major depression was not associated with BMI level or BMI trend. Depression severity showed a dose‐response‐type relationship with the magnitude of BWV. After controlling for potentially confounding variables including antidepressant use, eating disorder symptoms, smoking, and physical activity, major depression remained a significant predictor of BWV (β= 0.13, p < 0.001). Longitudinal analysis revealed a unidirectional association between major depression and a later increase in body weight change rate irrespective of antidepressant medication. Discussion: Results from this study implicate depression as an important risk factor for increased BWV. Given increasing evidence for a link between major depression and both diabetes and cardiovascular disease, current results encourage further research on depression, BWV, and negative health outcomes.     

Modest Lifestyle Intervention and Glucose Tolerance in Obese African Americans

Objective: Previous studies have demonstrated the benefit of short‐term diets on glucose tolerance in obese individuals. The purpose of this study was to evaluate the effectiveness of modest lifestyle changes in maintaining improvements in glucose tolerance induced by short‐term energy restriction in obese African Americans with impaired glucose tolerance or type 2 diabetes mellitus. Research Methods and Procedures: An intervention group (n = 45; 47 ± 1 year [mean ± SE]), 105 ± 4 kg; body mass index: 39 ± 1 kg/m²) received an energy‐restricted diet (943 ± 26 kcal/d) for 1 week, followed by a lifestyle program of reduced dietary fat (?125 kcal/d) and increased physical activity (+125 kcal/d) for 1 year. Body weight and plasma concentrations of glucose, insulin, and C‐peptide during an oral glucose tolerance test were measured at baseline, 1‐week, and 4‐month intervals. A control group (n = 24; 48 ± 1 year; 110 ± 5 kg; body mass index: 41 ± 2 kg/m²) underwent these measurements at 4‐month intervals. Results: No changes in weight or glucose tolerance were observed in the control group. The intervention group had significant (p < 0.05) improvements in body weight and glucose tolerance in response to the 1‐week diet, which persisted for 4 months (p < 0.001 vs. control for change in weight). A total of 19 subjects (42%) continued the intervention program for 1 year, with sustained improvements (weight: ?4.6 ± 1.0 kg; p < 0.001 vs. control; oral glucose tolerance test glucose area: ?103 ± 44 mM · min; p < 0.05 vs. control). Discussion: A modest lifestyle program facilitates weight loss and enables improvements in glucose tolerance to be maintained in obese individuals with abnormal glucose tolerance. However, attrition was high, despite the mild nature of the program.     

Impact of Weight Reduction on Early Carotid Atherosclerosis in Obese Premenopausal Women

Objective: To investigate the extent of carotid atherosclerosis and the effect of weight loss on carotid intima‐media thickness (IMT) in obese premenopausal women. Research Methods and Procedures: In 43 obese premenopausal women who participated in a 3‐month weight reduction program with a hypocaloric diet, IMT was measured by B‐mode high‐resolution ultrasound at entry and after 5 months of follow‐up. Blood samples were analyzed at entry, after intervention, and after 5 months of follow‐up. Nineteen lean women served as control subjects. Results: At entry, common carotid IMT (0.72 vs. 0.59 mm), carotid bulb IMT (0.90 vs. 0.71 mm), and overall mean IMT (0.81 vs. 0.65 mm) were greater in obese women than in lean women (all p < 0.01). After dietary intervention decreases in blood pressure, low density lipoprotein to high density lipoprotein cholesterol ratio, triglycerides, fibrinogen, plasminogen activator inhibitor‐1, and an increase in tissue‐type plasminogen activator activity levels were observed. These effects persisted after follow‐up in 14 women who maintained reduced weight. Reduction in carotid bulb IMT (to 0.81 mm, p < 0.01) and overall mean IMT (to 0.79 mm, p < 0.05) was observed in this subgroup. No significant change of carotid IMT was detected in eight women who regained weight. Changes in IMT were associated independently and significantly with changes in body mass index, low density lipoprotein to high density lipoprotein cholesterol ratio, and plasminogen activator inhibitor‐1 antigen. Discussion: Obese premenopausal women had greater IMT than did age‐matched lean controls. It seems that this early atherosclerotic changes may be reversed by normalization of body weight.     

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.     

Effect of Pramlintide on Weight in Overweight and Obese Insulin‐Treated Type 2 Diabetes Patients

Objective: Several randomized, placebo‐controlled, double‐blind trials in insulin‐treated patients with type 2 diabetes have shown that adjunctive therapy with pramlintide reduces hemoglobin (Hb)A_1c with concomitant weight loss. This analysis further characterizes the weight‐lowering effect of pramlintide in this patient population. Research Methods and Procedures: This pooled post hoc analysis of two long‐term trials included all patients who were overweight/obese at baseline (BMI > 25 kg/m²), and who were treated with either 120 μg pramlintide BID (n = 254; HbA_1c 9.2%; weight, 96.1 kg) or placebo (n = 244; HbA_1c 9.4%; weight, 95.0 kg). Statistical endpoints included changes from baseline to week 26 in HbA_1c, body weight, and insulin use. Results: Pramlintide treatment resulted in significant reductions from baseline to week 26, compared with placebo, in HbA_1c and body weight (both, p < 0.0001), for placebo‐corrected reductions of ?0.41% and ?1.8 kg, respectively. Approximately three times the number of patients using pramlintide experienced a ≥5% reduction of body weight than with placebo (9% vs. 3%, p = 0.0005). Patients using pramlintide also experienced a proportionate decrease in total daily insulin use (r = 0.39, p < 0.0001). The greatest placebo‐corrected reductions in weight at week 26 were observed in pramlintide‐treated patients with a BMI >40 kg/m² and in those concomitantly treated with metformin (both, p < 0.001), for placebo‐corrected reductions of ?3.2 kg and ?2.5 kg, respectively. Discussion: These findings support further evaluation of the weight‐lowering potential of pramlintide in obese patients with type 2 diabetes.     

Weight Change in Adult Life and Health Outcomes

Objective: To investigate the relationship between weight change in adult life and subsequent mortality and cancer incidence in women. Research Methods and Procedures: In 1994 to 1995, all women (age range, 42 to 81) still under general practitioner observation in the United Kingdom's Royal College of General Practitioners Oral Contraception Study (n = 12 303) were sent a health survey asking about health and lifestyle issues, including current weight and weight at age 30. The main outcome measures were 6‐year all‐cause mortality and cancer incidence among different weight change deciles. Cox regression was used to calculate hazard ratios that were adjusted for: social class at recruitment, BMI at age 30, and age group, parity, smoking status, and hormone replacement therapy status in 1995. Results: Women who had been obese at age 30 were more likely to die and significantly more likely to develop cancer in the 6 years after the health survey than non‐obese respondents. Women reporting weight gains between age 30 and 1995 were significantly less likely to die during the 6 years after the health survey than those with a stable weight, whereas those with weight loss did not fare any better than those in the stable‐weight group. Discussion: Although obesity at young age was associated with subsequent mortality and cancer incidence, weight gain over a time period of 12 to 51 years appeared to be beneficial when compared with women with stable weight over the same time period. Further research is needed to confirm or refute our findings and to allow detailed examination of potential explanations for them.     

Television viewing and long-term weight maintenance: results from the National Weight Control Registry

Objective: To examine the role of television (TV) viewing in long‐term maintenance of weight loss. Research Methods and Procedures: All subjects (N = 1422) were enrolled in the National Weight Control Registry (NWCR), a national sample of adults who have maintained a minimum weight loss of 13.6 kg for at least 1 year. Participants self‐reported the average number of hours of weekly TV viewing at entry into the NWCR and at a 1‐year follow‐up. Cross‐sectional and prospective analyses were performed to determine the frequency of TV viewing and the extent to which TV viewing was independently associated with weight regain over the 1‐year of follow‐up. Results: A relatively high proportion (62.3%) of participants reported watching 10 or fewer hours of TV per week on entry in the NWCR. More than one third of the sample (36.1%) reported watching <5 h/wk, whereas only 12.4% watched ≥21 h/wk, which contrasts markedly from the national average of 28 hours of TV viewing per week reported by American adults. Both baseline TV viewing (p ≤ 0.02) and increases in TV viewing (p ≤ 0.001) over the follow‐up were significant predictors of 1‐year weight regain, independent of physical activity and dietary behaviors. Discussion: Individuals who are successful at maintaining weight loss over the long term are likely to spend a relatively minimal amount of time watching TV.     

Three-year weight change in successful weight losers who lost weight on a low-carbohydrate diet

Objective: The purpose of this study was to evaluate long‐term weight loss and eating and exercise behaviors of successful weight losers who lost weight using a low‐carbohydrate diet. Research Methods and Procedures: This study examined 3‐year changes in weight, diet, and physical activity in 891 subjects (96 low‐carbohydrate dieters and 795 others) who enrolled in the National Weight Control Registry between 1998 and 2001 and reported ≥30‐lb weight loss and ≥1 year weight loss maintenance. Results: Only 10.8% of participants reported losing weight after a low‐carbohydrate diet. At entry into the study, low‐carbohydrate diet users reported consuming more kcal/d (mean ± SD, 1895 ± 452 vs. 1398 ± 574); fewer calories in weekly physical activity (1595 ± 2499 vs. 2542 ± 2301); more calories from fat (64.0 ± 7.9% vs. 30.9 ± 13.1%), saturated fat (23.8 ± 4.1 vs. 10.5 ± 5.2), monounsaturated fat (24.4 ± 3.7 vs. 11.0 ± 5.1), and polyunsaturated fat (8.6 ± 2.7 vs. 5.5 ± 2.9); and less dietary restraint (10.8 ± 2.9 vs. 14.9 ± 3.9) compared with other Registry members. These differences persisted over time. No differences in 3‐year weight regain were observed between low‐carbohydrate dieters and other Registry members in intent‐to‐treat analyses (7.0 ± 7.1 vs. 5.7 ± 8.7 kg). Discussion: It is possible to achieve and maintain long‐term weight loss using a low‐carbohydrate diet. The long‐term health effects of weight loss associated with a high‐fat diet and low activity level merits further investigation.     

Randomized trial of a multifaceted commercial weight loss program

Objective: To test whether a commercial weight loss program promotes greater weight loss in overweight or obese women compared with control conditions and to describe the effect on plasma lipids, carotenoids, hormones, and fitness. Research Methods and Procedures: Overweight or obese women were randomized to commercial weight loss program or control conditions (n = 35 each). Results: At randomization, participants were 41.1 (11.4) (mean [standard deviation]) years, BMI 34.0 (3.5) kg/m², and weight 92.0 (11.1) kg. At 6 months, change in weight by intent‐to‐treat (ITT) analysis was ?7.2 (6.7) kg and ?7.8% (7.2%) in the intervention group vs. ?0.3 (3.9) kg and ?0.3% (4.5%) in the control group (n = 35 for each; p < 0.01). One‐year ITT analysis revealed significantly greater change in weight, percent weight, BMI, and waist and hip circumferences in the intervention vs. control group. Completers at 1 year exhibited change in weight of ?7.3 (10.4) kg for the intervention group (n = 32) vs. ?0.7 (5.6) kg for controls (n = 33) (p < 0.01), and ?7.8% (11.1%) weight change for the intervention group vs. ?0.7% (6.2%) for controls (p < 0.01). High‐density lipoprotein (HDL) cholesterol concentration increased significantly in the intervention group. Fasting serum insulin decreased in the intervention but increased in the control group at 6 months (p < 0.01), remaining different at 1 year (p = 0.05). Discussion: The commercial program successfully facilitated weight loss, which was notably maintained at 1 year, and promoted favorable changes in plasma lipid and hormone concentrations.     

Weight maintenance 2 years after participation in a weight loss program promoting low-energy density foods

Objective: Observational study designed to determine weight outcomes and associated dietary intake patterns for a sample of participants ≥1 year after completing the University of Alabama at Birmingham EatRight Weight Management Program. Research Methods and Procedures: Seventy‐four former participants (64% women) completed follow‐up visits ≥1 year after participating in EatRight, which promotes low‐energy density, high‐complex carbohydrate foods. Weight maintenance was defined as gaining <5% of body weight since completion of the EatRight program and staying below their program entry weight. Those who gained ≥5% of their body weight since completion were classified as gainers. Results: During EatRight, participants of the follow‐up study lost an average of 4.0 kg. After a mean follow‐up time of 2.2 years, the average weight change was +0.59 kg (mean BMI, 32.5 kg/m²). Seventy‐eight percent of participants gained <5% of their body weight; 46% had no weight regain or continued weight loss. Unadjusted mean intake for maintainers was 1608 kcal, whereas calorie intake for gainers was 1989 kcal. Despite eating slightly fewer calories (adjusted difference, 244; p = 0.058), maintainers ate a similar amount of food, resulting in a lower energy‐density pattern (p = 0.016) compared with those who regained ≥5% of body weight. Gainers also reported consuming larger portions of several food groups. Discussion: Our results indicate that low‐energy‐density eating habits are associated with long‐term weight maintenance. Those who maintain weight after the EatRight program consume a low‐energy‐density dietary pattern and smaller portions of food groups potentially high in energy density than those who regain weight.     

A two-year randomized weight loss trial comparing a vegan diet to a more moderate low-fat diet

Objective: The objective was to assess the effect of a low‐fat, vegan diet compared with the National Cholesterol Education Program (NCEP) diet on weight loss maintenance at 1 and 2 years. Research Methods and Procedures: Sixty‐four overweight, postmenopausal women were randomly assigned to a vegan or NCEP diet for 14 weeks, and 62 women began the study. The study was done in two replications. Participants in the first replication (N = 28) received no follow‐up support after the 14 weeks, and those in the second replication (N = 34) were offered group support meetings for 1 year. Weight and diet adherence were measured at 1 and 2 years for all participants. Weight loss is reported as median (interquartile range) and is the difference from baseline weight at years 1 and 2. Results: Individuals in the vegan group lost more weight than those in the NCEP group at 1 year [?4.9 (?0.5, ?8.0) kg vs. ?1.8 (0.8, ?4.3); p < 0.05] and at 2 years [?3.1 (0.0, ?6.0) kg vs. ?0.8 (3.1, ?4.2) kg; p < 0.05]. Those participants offered group support lost more weight at 1 year (p < 0.01) and 2 years (p < 0.05) than those without support. Attendance at meetings was associated with improved weight loss at 1 year (p < 0.001) and 2 years (p < 0.01). Discussion: A vegan diet was associated with significantly greater weight loss than the NCEP diet at 1 and 2 years. Both group support and meeting attendance were associated with significant weight loss at follow‐up.     

Birth weight correlates differently with cardiovascular risk factors in youth

Objective: Childhood obesity has become prevalent, resulting in a greater risk of hypertension, diabetes, and dyslipidemia. However, the relationship between these comorbid conditions and birth weight remains uncertain. We conducted this study to evaluate the relationship between birth weight and cardiovascular risk factors in children and adolescents. Research Methods and Procedures: In a nationwide survey conducted between 1992 and 2000, all schoolchildren 6 to 18 years old with glucosuria, proteinuria, or microscopic hematuria in repeated urine samples were included and received a physical examination and blood test. Those with gestational age <37 weeks were excluded. We enrolled 81,538 children (51,111 girls and 30,427 boys) and obtained their birth weights from the Taiwan Birth Registry. Obesity and hypertension were defined by age‐ and sex‐specific cut‐offs. Diabetes was diagnosed if the fasting glucose was >7 mM. Results: The risk of obesity was higher for those with birth weights ≥4000 grams [odds ratio (OR), 1.65] and 3543 to 3999 grams (OR, 1.28) and lower for those with birth weights 2601 to 2999 grams (OR, 0.90), using 3000 to 3542 grams as the reference group. An increased risk of diabetes was associated with both higher and lower birth weights, indicating a U‐shaped relationship (OR, <2600 grams, 1.607; 2601 to 2999 grams, 1.119; 3543 to 3999 grams, 1.112; ≥4000 grams, 1.661). In the 10‐ to 12‐year‐old age group, the risk of hypertension was higher in those with birth weights <2600 grams (OR, 1.20). Discussion: Low birth weight was associated with childhood diabetes. High birth weight was correlated with childhood obesity and diabetes. Our data indicate different relationships between birth weight and the development of obesity, hypertension, and diabetes in childhood.     

Identification and correlates of weight loss in adolescents in a national sample

Objective: Little is known about behaviors associated with successful weight loss during adolescence. The first objective of the current study was to identify meaningful weight loss, weight maintenance, and weight gain in male and female adolescents. The second objective of this study was to apply these methods to U.S. adolescents from the National Health and Nutrition Survey 1999 to 2002 data and to identify factors associated with these weight change outcomes. Research Methods and Procedures: The current analyses include 1726 (female, 836; male, 890) 16‐ to 18‐year‐old adolescents who completed the questionnaire components and interview for either the 1999–2000 or the 2001–2002 National Health and Nutrition Survey study. Dietary intake, physical activity, and dieting attitudes were compared across the weight loss (L), maintain (M), and gain (G) groups in the entire sample and in a subset of adolescents who are overweight and at‐risk‐for‐overweight (≥85th percentile). Results: The tested method for identifying weight L, M, and G groups has both theoretical and statistical validity and, when applied to the sample, showed the expected direction of changes in weight. Results suggest that more overall physical activity, more vigorous exercise, and less sedentary activity are associated with being in the L group in both the full sample and the overweight and at‐risk‐for‐overweight sample. In addition, fewer teens in the L groups endorsed efforts at trying to lose weight, compared with the M and G groups. Discussion: This study provides a method to determine successful adolescent weight loss for researchers and provides useful concrete information about successful weight loss for clinicians and others who work with adolescents.     

Dietary fat and weight gain among women in the Nurses' Health Study

Objective: To assess the association of dietary fat and weight gain among adult women and to investigate whether offspring of overweight parents have a greater predisposition to weight gain due to intake of dietary fat. Research Methods and Procedures: This was an 8‐year follow‐up of 41,518 women in the Nurses’ Health Study (NHS), a population‐based, prospective cohort. The women were 41 to 68 years of age, free of cardiovascular disease, cancer, and diabetes in 1986 when “baseline” weight and diet were assessed. Eight years later (1994), changes in weight and dietary intake were assessed. Linear regression models were used to relate change in weight to fat intake and change in fat intake, using the percentage of energy from carbohydrate as the comparison, adjusted for age, BMI in 1986, leisure time physical activity, time spent sitting, percent of calories from protein, and change in percentage of calories from protein. Results: Overall, there was a weak positive association between total fat intake (β = 0.11) and weight gain. Increases in monosaturated and polyunsaturated fat were not associated with weight gain, but increases in animal fat, saturated fat, and trans fat had a positive association with weight change. There was not strong evidence of effect modification by parental weight status (p = 0.7 to 0.8 for percentage of calories from total fat, animal fat, and vegetable fat); however, the associations were stronger among the overweight compared with leaner women (p < 0.05 for percentage of calories from each type of fat). Among overweight women, for every one percentage increase in percentage of calories from trans fat, women gained an additional 2.3 lb (95% confidence interval, 1.80 to 2.86). Conclusion: Our results show that, overall, percent of calories from fat has only a weak positive association with weight gain; however, percentage of calories from animal, saturated, and trans fat has stronger associations. There was no clear evidence that the diet‐weight gain association was stronger among offspring of overweight parents, but dietary fat was associated with greater weight gain among overweight women.     

Combined Dietary and Pharmacological Weight Management in Obese Hypopituitary Patients

Objective: The high prevalence of obesity and cardiovascular risk factors in hypopituitarism affirms the need for effective weight loss intervention. In this study, we investigated the combined effect of sibutramine, diet, and exercise in obese hypopituitary patients (HPs). Research Methods and Procedures: In an open‐label prospective intervention trial, 14 obese well‐substituted nondiabetic HPs and 14 matched simple obese controls were allocated to 11‐month treatment with sibutramine (10 to 15 mg), diet (600 kcal/d deficit), and exercise. Anthropometric indices and body composition (obtained from DXA scan) were assessed monthly for the first 5 months and thereafter every second month for the next 6 months. Results: Mean (±SD) weight loss at 11 months was 11.3 ± 4.8 kg in patients vs. 10.7 ± 4.7 kg in controls. The HPs exhibited the same improvements in body composition, waist circumference, blood lipids, and fasting glucose as the simple obese. In a multivariate model, baseline weight, duration of growth hormone replacement therapy, and duration of pituitary disease explained 79% (p = 0.001) of the variation in weight loss at 4 months in the HPs. Only baseline weight and waist circumference could predict weight loss at 11 months. Discussion: HPs are not resistant to weight loss therapy. Almost all will achieve at least 5% weight loss, and 60% can lose >10% weight within 11 months. However, the long‐term effect on risk factors associated with type 2 diabetes and cardiovascular disease as well as on mortality needs to be established.     

The validity of self-reported weight change among adolescents and young adults

Objective: To assess the association of weight change based on serial self‐reported vs. measured weights. Research Methods and Procedures: Two thousand two hundred eighty‐four male and 2476 female participants in the National Longitudinal Study of Adolescent Health who provided information on weight at Waves II and III and were at least 16 years of age were studied. Linear regression was used to assess predictors of the discrepancy between weight change based on self‐reported vs. measured weights. Logistic regression was used to identify predictors of self‐report correctly classifying participants in terms of weight change category. Results: Self‐reported weight was slightly lower than measured weight at Waves II and III, but weight change based on self‐reported weights underestimated true weight change by only 2.1 (female participants) to 2.8 (male participants) pounds. Overweight and obese female participants were consistent in their under‐reporting of their weight more than their leaner peers; thus, the discrepancy between weight change from Wave II to Wave III based on serial self‐reports vs. measured weights was significantly smaller among the obese female vs. healthy‐weight female participants (0.3‐ vs. 2.3‐pound underestimation, p < 0.05). Among the male participants, the same pattern was evident. African‐American ethnicity, Hispanic ethnicity, the level of physical activity, the hours per week watching television, and weight change efforts were not related to the discrepancy between weight change based on self‐reported vs. measured weights. Discussion: The discrepancy between weight change based on self‐report vs. measured weights was minor and not related to race, weight change efforts, activity, or inactivity, thus suggesting that much of the error is random.     

Role of Weight History on Functional Limitations and Disability in Late Adulthood: The ARIC Study

Objective: To examine associations of weight history with functional limitations and disability in white and African‐American men and women. Research Methods and Procedures: Data were from the Atherosclerosis Risk in Communities study (n = 11, 177). Associations of recalled weight status at age 25 and weight change from age 25 to ages 45 to 64 with functional limitations, activities of daily living (ADLs), and instrumental activities of daily living (IADLs) at follow‐up (ages 52 to 75) were examined using logistic regression. Results: Obesity (BMI ≥ 30 kg/m²) at age 25 was associated with functional limitations and ADL and IADL impairment at follow‐up in white and African‐American men and women. For example, obese compared with normal weight (BMI, 18.5 to 24.9 kg/m²) white women had higher odds of mild [odds ratio (95% confidence interval), 1.97 (1.18 to 3.29)] and severe [9.81 (5.92 to 16.27)] functional limitations and ADL [3.48 (2.36 to 5.13)] and IADL [2.95 (2.00 to 4.33)] impairment. In African‐American women, obesity was associated with higher odds of mild [2.71 (1.14 to 6.41)] and severe [6.01 (2.53 to 14.26)] functional limitations and ADL [1.82 (1.10 to 3.00)] and IADL [2.39 (1.47 to 3.90)] impairment. Similar associations were found in men. Compared with weight maintenance (±10 lbs), large weight gain (>30 lbs) from age 25 to ages 45 to 64 was also associated with functional limitations and ADL and IADL impairment in white and African‐American men and women. Discussion: Maintenance of a healthy body weight throughout adulthood may play a role in preventing or delaying the onset of functional limitations and disability, resulting in increased quality of life and decreased health care costs.     

Exercise effect on weight and body fat in men and women

Objectives: The effect of national exercise recommendations on adiposity is unknown and may differ by sex. We examined long‐term effects of aerobic exercise on adiposity in women and men. Research Methods and Procedures: This was a 12‐month randomized, controlled clinical trial testing exercise effect on weight and body composition in men (N = 102) and women (N = 100). Sedentary/unfit persons, 40 to 75 years old, were recruited through physician practices and media. The intervention was facility‐ and home‐based moderate‐to‐vigorous intensity aerobic activity, 60 min/d, 6 days/wk vs. controls (no intervention). Results: Exercisers exercised a mean 370 min/wk (men) and 295 min/wk (women), and seven dropped the intervention. Exercisers lost weight (women, ?1.4 vs. +0.7 kg in controls, p = 0.008; men, ?1.8 vs. ?0.1 kg in controls, p = 0.03), BMI (women, ?0.6 vs. +0.3 kg/m² in controls, p = 0.006; men, ?0.5 kg/m² vs. no change in controls, p = 0.03), waist circumference (women, ?1.4 vs. +2.2 cm in controls, p < 0.001; men, ?3.3 vs. ?0.4 cm in controls, p = 0.003), and total fat mass (women, ?1.9 vs. +0.2 kg in controls, p = 0.001; men, ?3.0 vs. +0.2 kg in controls, p < 0.001). Exercisers with greater increases in pedometer‐measured steps per day had greater decreases in weight, BMI, body fat, and intra‐abdominal fat (all p trend < 0.05 in both men and women). Similar trends were observed for increased minutes per day of exercise and for increases in maximal oxygen consumption. Discussion: These data support the U.S. Department of Agriculture and Institute of Medicine guidelines of 60 min/d of moderate‐to‐vigorous physical activity.