Effect of exercise training and weight loss on platelet reactivity in overweight patients with coronary artery disease.

PURPOSE: Obesity is associated with increased platelet reactivity. Greater platelet reactivity presages adverse events in patients with coronary artery disease (CAD). We investigated whether exercise training and weight loss reduce platelet reactivity in overweight subjects with CAD. METHODS: Study subjects (N = 46) were enrolled in a prospective randomized study of exercise training and behavioral weight loss, which contrasted the amount of exercise performed (750 vs. >3000 kcal/week). Platelet reactivity was assessed with the use of flow cytometry as the percentage of platelets expressing P-selectin or capable of binding fibrinogen in response to 1 µM adenosine diphosphate in blood before and after a 4-month program of exercise and behavioral weight loss. Markers of inflammation (high-sensitivity C-reactive protein), procoagulant activity (tissue plasminogen activator, plasminogen activator inhibitor 1), insulin sensitivity, body composition, physical activity, and fitness were also recorded. RESULTS: Platelet reactivity as assessed by P-selectin expression was decreased after exercise training and weight loss in study participants (from 34 ± 17% to 29 ± 17%; P = .01). The decrease was more pronounced in women (by 13% vs. 2% in men; P < .01). The change in platelet reactivity was not independently associated with measures of body composition or fitness. After controlling for exercise group and gender, the change in platelet reactivity was associated with changes in high-sensitivity C-reactive protein (r = 0.46) and insulin sensitivity (r = 0.46). CONCLUSIONS: In overweight patients with CAD, exercise training and weight loss are associated with a decrease in platelet reactivity that may predict an improved prognosis.

Burn and earn: a randomized controlled trial incentivizing exercise during fall semester for college first-year students.

OBJECTIVE: To examine the viability of monetary incentives to increase fitness-center use and maintain/improve the Body Mass Indexes (BMIs) of first-year students over the fall semester. METHOD: Randomized-controlled trial with no-treatment and incentive conditions involving 117 first-year students. For 12 weeks, students in the incentive condition received monetary payments ranging from $10 to $38.75 for meeting researcher-set fitness-center use goals that were identical across conditions. Fitness-center use was monitored through electronic ID-card check-in and check-out records at the campus fitness center. RESULTS: 63% of incentive-condition participants met the weekly fitness-center use goals on average compared to only 13% of control-condition participants, a significant difference, p<0.001. Goal achievement significantly decreased over time, p<0.01 and at roughly the same rate in the control and incentive conditions, p=0.23. Average BMI increases over the fall semester in the control (24.2 (0.6) to 24.6 (0.6)kg/m(2)) versus incentive condition (23.1 (0.4) to 23.5 (0.4)kg/m(2)) were not significantly different (p=0.70). CONCLUSION: Weekly monetary incentives resulted in significantly more first-year students meeting weekly fitness-center use goals. However, the increased fitness-center use by the incentive condition did not prevent an increase in BMI during fall semester.

Patterns of success: online self-monitoring in a web-based behavioral weight control program.

OBJECTIVES: Online weight control technologies could reduce barriers to treatment, including increased ease and convenience of self-monitoring. Self-monitoring consistently predicts outcomes in behavioral weight loss programs; however, little is known about patterns of self-monitoring associated with success. METHOD: The current study examines 161 participants (92% women; 31% African American; mean body mass index = 35.7 ± 5.7) randomized to a 6-month online behavioral weight control program that offered weekly group "chat" sessions and online self-monitoring. Self-monitoring log-ins were continuously monitored electronically during treatment and examined in association with weight change and demographics. Weekend and weekday log-ins were examined separately and length of periods of continuous self-monitoring were examined. RESULTS: We found that 91% of participants logged in to the self-monitoring webpage at least once. Over 6 months, these participants monitored on an average of 28% of weekdays and 17% of weekend days, with most log-ins earlier in the program. Women were less likely to log-in, and there were trends for greater self-monitoring by older participants. Race, education, and marital status were not significant predictors of self-monitoring. Both weekday and weekend log-ins were significant independent predictors of weight loss. Patterns of consistent self-monitoring emerged early for participants who went on to achieve greater than a 5% weight loss. CONCLUSIONS: Patterns of online self-monitoring were strongly associated with weight loss outcomes. These results suggest a specific focus on consistent self-monitoring early in a behavioral weight control program might be beneficial for achieving clinically significant weight losses.

Undergrad and overweight: an online behavioral weight management program for college students.

OBJECTIVE: Explore the feasibility of an online behavioral weight management program for college students. METHODS: The program focused on behavioral strategies to modify eating and exercise behaviors of students interested in losing weight and/or developing a healthy lifestyle. Specific tools included weekly chat meetings with a facilitator, calorie and fat gram recommendations, daily food logs, and exercise guidance. RESULTS: Three hundred thirty-six students participated from 2 northeastern universities. Overweight/obese students wanting to lose weight had a mean body mass index of 30.6 kg/m(2) at baseline and lost an average of 5.1 ± 6.0 lbs. Those of healthy weight wanting to lose weight had a mean body mass index of 22.0 kg/m(2) at baseline and lost an average of 1.8 ± 3.2 lbs. Twenty-three percent of students lost > 5% of their baseline weight. CONCLUSIONS AND IMPLICATIONS: Use of an online behavioral weight management program may be a feasible way to help college students develop healthy eating and exercise behaviors.

Change of energy expenditure from physical activity is the most powerful determinant of improved insulin sensitivity in overweight patients with coronary artery disease participating in an intensive lifestyle modification program.

The objective was to evaluate the determinants of change (Δ) in insulin sensitivity in overweight coronary artery disease male patients without diabetes after an intensive lifestyle intervention. All patients received nutritional counseling and performed 4 months of exercise training (ET) according to 1 of 2 protocols: aerobic ET (65%-70% of peak aerobic capacity [VO(2)]) 25 to 40 minutes 3 times a week (n = 30) or walking (50%-60% of peak VO(2)) 45 to 60 minutes at least 5 times a week (n = 30). Data from participants of both ET groups were pooled, and post-intensive lifestyle intervention results were compared with baseline data. The primary outcome was Δ insulin sensitivity (m-value) assessed by the criterion standard technique, the euglycemic-hyperinsulinemic clamp. Changes in weight, body mass index, total and percentage fat mass (by dual-energy x-ray absorptiometry scan), waist circumference, total abdominal and visceral fat (by computed tomographic scan), high-sensitivity C-reactive protein, peak VO(2), daily energy intake, and physical activity energy expenditure (PAEE) (by doubly labeled water technique) were also assessed. Daily energy intake decreased by 335 kcal, and PAEE increased by 482 kcal/d (all P < .0001). The mean weight loss was 6.4 kg, and the mean improvement in m-value was 1.6 mg/kg fat-free mass per minute. Univariate determinants of Δ m-value were low baseline PAEE, walking protocol, Δ weight, Δ body mass index, Δ total and percentage fat mass, Δ waist circumference, Δ total abdominal and visceral fat, and Δ PAEE (all P < .05). In multivariate analysis, the only significant determinant of Δ m-value was Δ PAEE (P < .02). In this analysis, the most powerful determinant of improved insulin sensitivity in overweight coronary artery disease patients is the change in PAEE.

The accuracy of weight reported in a web-based obesity treatment program.

OBJECTIVE: The overall goal of the study was to understand the accuracy of self-reported weight over a 6-month Web-based obesity program. MATERIALS AND METHODS: As part of a larger study, subjects (n=323; 93% female; 28% African American) were randomized to a 6-month Internet-based behavioral weight loss program with weekly group meetings delivered either: (1) entirely by online synchronous chats or (2) by a combination of online chats plus monthly in-person group sessions. Observed weights were obtained at 0 and 6 months for all participants. Self-reported weights were submitted weekly to the study Web site. Differences in Observed and Reported weights were examined by gender, race, and condition. RESULTS: Observed and Reported weight were significantly correlated at 0 and 6 months (r=0.996 and 0.996, ps <0.001 respectively). However, Reported weight underestimated Observed weight by 0.86 kg (p<0.001) at 6 months. Further, there was a significant weight loss effect (p<0.001) with those losing more weight more accurately estimating their Reported weight at 6 months. Additionally, 6-month Reported weight change differed from Observed weight change (difference=0.72 kg, p<0.001), with weight change using Reported weights estimating a slightly larger weight loss than Observed weights. CONCLUSIONS: In general, the accuracy of self-reported weight is high for individuals participating in an Internet-based weight loss treatment program. Accuracy differed slightly by amount of weight lost and was not improved with periodic in-person assessment. Importantly, weight change by self-report was comparable to observed, suggesting that it is suitable for Web-based obesity treatment.

The effect of weight loss and exercise training on flow-mediated dilatation in coronary heart disease: a randomized trial.

BACKGROUND: More than 80% of patients entering cardiac rehabilitation are overweight, with a high prevalence of associated insulin resistance, diabetes, hypertension, hyperlipidemia, and a prothrombotic state. Because each of these characteristics is associated with abnormalities of endothelial-dependent flow-mediated dilatation (FMD), a predictor of long-term prognosis in patients with coronary heart disease (CHD), we assessed the effect of exercise training and weight reduction on FMD in overweight patients with CHD. METHODS: All patients (N = 38) participated in behavioral weight loss while taking their usual preventive medications. Subjects were randomized to one of two exercise protocols, which differed by caloric expenditure. The primary outcome was extent (%) of brachial artery FMD measured by ultrasonography before and after the 4-month exercise and weight-loss program. RESULTS: Both study groups experienced an increase in brachial artery FMD after weight loss and exercise. Patients randomized to the higher-caloric exercise condition (longer-distance walking) lost more weight (8.6 ± 4.1 kg vs 2.3 ± 3.3 kg [P < .001]) and experienced a greater percentage increase in brachial artery FMD (3.6% ± 4.1% vs 1.3% ± 2.1%, P < .05) than did subjects in the lower-caloric-expenditure exercise group who lost less weight. Both groups increased peak aerobic capacity similarly. Increased FMD correlated with changes in body weight more than with measures of abdominal fat, glucose disposal, lipid measure, BP, or measures of physical activity or cardiorespiratory fitness. CONCLUSIONS: Exercise and weight loss increased FMD in overweight and obese patients with CHD. Greater weight reduction was associated with a greater improvement in FMD; thus, there was a dose effect. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT00628277; URL: www.clinicaltrials.gov.

The impact of high-calorie-expenditure exercise on quality of life in older adults with coronary heart disease.

The acceptability of a high-calorie-expenditure (HCE) exercise program in older coronary heart disease patients participating in a behavioral weight-control program was evaluated. Seventy-four overweight patients (median age 63 yr) were randomly assigned to a 5-mo intervention of HCE exercise (3,000-3,500 kcal/wk daily walking) or standard cardiac-rehabilitation (CR) exercise (700-800 kcal/wk). Both groups received counseling to achieve a dietary caloric deficit of 3,500 kcal/ wk. Assessments at baseline and 5 mo included self-reported measures of quality of life and psychosocial variables. The HCE group experienced significantly greater weight loss (8.2 ± 4 vs. 3.7 ± 5 kg, p < .001). Changes from baseline to 5 mo on scores of physical, emotional, and social functioning were greater for the HCE than CR group (p < .05). HCE exercise also resulted in greater positive change in exercise enjoyment (p = .05), which was mediated by weight change. Even high-risk older adults can be successful in an HCE exercise program and experience no adverse physical or emotional changes.

Pretreatment weight change is associated with obesity treatment outcomes.

Clinical experience suggests some individuals begin obesity treatment weighing more than they did at pretreatment assessment. Weight fluctuations between baseline screening and the first treatment session were examined among individuals enrolling in a group behavioral obesity treatment outcome study. Participants (N = 480, 94% female; 28% African American; M BMI = 35.7) were classified into those who started treatment having gained weight (≥ +1.15% above screening weight), lost weight (≤ -1.15% below screening weight) or remained weight stable. The majority of participants were weight-stable (61%) during the waiting period, but 23% lost weight (-2.36 ± 1.26 kg) and 16% gained weight (+2.11 ± 1.04 kg) between baseline screening and initiating treatment. Those who lost during the pretreatment period went on to have the greatest losses at 6-months (-8.9 ± 4.9 kg), with significantly greater weight losses than either the weight-stable (-6.1 ± 5.8 kg) or the weight-gain (-5.7 ± 5.8 kg) groups. Further, those who lost weight during the waiting period went on to attend a significantly higher proportion of treatment sessions and submitted more self-monitoring diaries than those who gained weight and those who stayed weight stable while waiting. Thus, pretreatment weight change was associated with treatment outcomes and may be relevant for research screening. Further, pretreatment weight change may be a clinical marker for likely success in behavioral weight control and as such warrants additional investigation to inform potential methods for enhancing outcomes for individuals in obesity treatment.

Comparing behavioral weight loss modalities: incremental cost-effectiveness of an internet-based versus an in-person condition.

The objective of this study was to assess the costs associated with a group behavioral weight loss intervention and compare cost-effectiveness based on treatment delivery modality (in-person vs. Internet). A randomized controlled trial examined efficacy of a group behavioral obesity intervention across in-person and Internet treatment modalities. Participants (N = 323, 93% women, mean BMI = 35.8) from two centers were randomized to treatment modality, and contact time was matched between conditions. Primary outcome was weight loss. Cost-effectiveness measures calculated life years gained (LYG) from changes in weight at 6 months, based on excess years of life lost (YLL) algorithm and the cost of the two modalities. In-person participants had significantly greater weight losses (-8.0 ± 6.1 kg) than Internet participants (-5.5 ± 5.6 kg), whereas differences in LYG were insignificant. Estimated LYG was 0.58 (95% confidence interval: 0.45, 0.71) and 0.47 (95% confidence interval: 0.34, 0.60) for the in-person and Internet condition, respectively. Total cost of conducting the in-person condition was $706 per person and the Internet condition was $372 per person with the difference mainly due to increased travel cost of $158 per person. The incremental cost-effectiveness ratio was $2,160 per (discounted) LYG for the Internet modality relative to no intervention/no weight loss and $7,177 per (discounted) LYG for the in-person modality relative to the Internet modality. Participant time costs are recognized as an important cost of medical and behavioral interventions. When participant time costs are included in an economic evaluation of a behavioral weight loss intervention, Internet-based weight loss delivery may be a more cost-effective approach to obesity treatment.

Differences in home food availability of high- and low-fat foods after a behavioral weight control program are regional not racial.

BACKGROUND: Few studies, if any, have examined the impact of a weight control program on the home food environment in a diverse sample of adults. Understanding and changing the availability of certain foods in the home and food storage practices may be important for creating healthier home food environments and supporting effective weight management. METHODS: Overweight adults (n = 90; 27% African American) enrolled in a 6-month behavioral weight loss program in Vermont and Arkansas. Participants were weighed and completed measures of household food availability and food storage practices at baseline and post-treatment. We examined baseline differences and changes in high-fat food availability, low-fat food availability and the storage of foods in easily visible locations, overall and by race (African American or white participants) and region (Arkansas or Vermont). RESULTS: At post-treatment, the sample as a whole reported storing significantly fewer foods in visible locations around the house (-0.5 ± 2.3 foods), with no significant group differences. Both Arkansas African Americans (-1.8 ± 2.4 foods) and Arkansas white participants (-1.8 ± 2.6 foods) reported significantly greater reductions in the mean number of high-fat food items available in their homes post-treatment compared to Vermont white participants (-0.5 ± 1.3 foods), likely reflecting fewer high-fat foods reported in Vermont households at baseline. Arkansas African Americans lost significantly less weight (-3.6 ± 4.1 kg) than Vermont white participants (-8.3 ± 6.8 kg), while Arkansas white participants did not differ significantly from either group in weight loss (-6.2 ± 6.0 kg). However, home food environment changes were not associated with weight changes in this study. CONCLUSIONS: Understanding the home food environment and how best to measure it may be useful for both obesity treatment and understanding patterns of obesity prevalence and health disparity.

Associations of internet website use with weight change in a long-term weight loss maintenance program.

BACKGROUND: The Weight Loss Maintenance Trial (WLM) compared two long-term weight-maintenance interventions, a personal contact arm and an Internet arm, with a no-treatment control after an initial six-month Phase I weight loss program. The Internet arm focused on use of an interactive website for support of long-term weight maintenance. There is limited information about patterns of website use and specific components of an interactive website that might help promote maintenance of weight loss. OBJECTIVE: This paper presents a secondary analysis of the subset of participants in the Internet arm and focuses on website use patterns and features associated with long-term weight maintenance. METHODS: Adults at risk for cardiovascular disease (CVD) who lost at least 4 kilograms in an initial 20-week group-based, behavioral weight-loss program were trained to use an interactive website for weight loss maintenance. Of the 348 participants, 37% were male and 38% were African American. Mean weight loss was 8.6 kilograms. Participants were encouraged to log in at least weekly and enter a current weight for the 30-month study period. The website contained features that encouraged setting short-term goals, creating action plans, and reinforcing self-management habits. The website also included motivational modules, daily tips, and tailored messages. Based on log-in and weight-entry frequency, we divided participants into three website use categories: consistent, some, and minimal. RESULTS: Participants in the consistent user group (n = 212) were more likely to be older (P = .002), other than African American (P = .02), and more educated (P = .01). While there was no significant difference between website use categories in the amount of Phase I change in body weight (P = .45) or income (P = .78), minimal website users (n = 75) were significantly more likely to have attended fewer Phase I sessions (P = .001) and had a higher initial body mass index (BMI) (P < .001). After adjusting for baseline characteristics including initial BMI, variables most associated with less weight regain included: number of log-ins (P = .001), minutes on the website (P < .001), number of weight entries (P = .002), number of exercise entries (P < .001), and sessions with additional use of website features after weight entry (P = .002). CONCLUSION: Participants defined as consistent website users of an interactive behavioral website designed to promote maintenance of weight loss were more successful at maintaining long-term weight loss. TRIAL REGISTRATION: NCT00054925; http://clinicaltrials.gov/ct2/show/NCT00054925 (Archived by WebCite at http://www.webcitation.org/5rC7523ue).

Removing the bedroom television set: a possible method for decreasing television viewing time in overweight and obese adults.

U.S. adults watch television (TV) for an average of 5 hours per day, an amount associated with increased obesity risk. Studies in children have found bedroom TV sets, which result in greater time spent by watching TV and shorter sleep durations, both of which increase a child's odds of becoming overweight. The authors examined associations between bedroom TV viewing time (BTVT), Body Mass Index (BMI), sleep time, non-BTVT, and total TV viewing time in 39 overweight and obese adults with and without a bedroom TV set. No significant correlations are found between BTVT and BMI or sleep time. BTVT is positively associated with non-BTVT (Spearman's rho = 0.37, p = .076; n = 24). Participants with a bedroom TV tend to watch significantly more TV (5.4 hours per day +/- 2.7; p = .057; n = 28) than do participants without a bedroom TV (3.6 +/- 1.9 hours per day, p = .057; n = 11). This article suggested that taking the TV out of the bedroom may help to reduce overweight and obese adults can decrease their TV viewing time.

The treatment of obesity in cardiac rehabilitation.

Obesity is an independent risk factor for the development of coronary heart disease (CHD). At entry into cardiac rehabilitation (CR), more than 80% of patients are overweight and more than 50% have the metabolic syndrome. Yet, CR programs do not generally include weight loss programs as a programmatic component and weight loss outcomes in CR have been abysmal. A recently published study outlines a template for weight reduction based on a combination of behavioral weight loss counseling and an approach to exercise that maximized exercise-related caloric expenditure. This approach to exercise optimally includes walking as the primary exercise modality and eventually requires almost daily longer-distance exercise to maximize caloric expenditure. In addition, lifestyle activities such as stair climbing and avoidance of energy-saving devices should be incorporated into the daily routine. Risk factor benefits of weight loss and exercise training in overweight CHD patients are broad and compelling. Improvements in insulin resistance, lipid profiles, blood pressure, clotting abnormalities, endothelial-dependent vasodilatory capacity, and measures of inflammation such as C-reactive protein have all been demonstrated. Cardiac rehabilitation/secondary prevention programs can no longer ignore the challenge of obesity management in CHD patients. Individual programs need to develop clinically effective and culturally sensitive approaches to weight control. Finally, multicenter randomized clinical trials of weight loss in CHD patients with assessment of long-term clinical outcomes need to be performed.

Internet delivered behavioral obesity treatment.

OBJECTIVES: To evaluate the efficacy of an Internet behavioral weight loss program; and determine if adding periodic in-person sessions to an Internet intervention improves outcomes. METHODS: 481 healthy overweight adults (28% minority) were randomized to one of 3 delivery methods of a behavioral weight loss program with weekly meetings: Internet (n=161), InPerson (n=158), or Hybrid (Internet+InPerson, n=162). Outcome variables were weight at baseline and 6 months and percent of subjects achieving a 5 and 7% weight loss. The study took place in two centers in Vermont and Arkansas from 2003 to 2008. RESULTS: Conditions differed significantly in mean weight loss [8.0 (6.1) kg vs. 5.5 (5.6) kg vs. 6.0 (5.5) kg], for InPerson, Internet, and Hybrid respectively, p<0.01, n=462). Weight loss for InPerson was significantly greater than the Internet and Hybrid conditions (p<0.05). Although the proportion reaching a 5% weight loss did not differ, the proportion losing 7% did differ significantly (56.3% vs. 37.3% vs. 44.4% for InPerson, Internet, and Hybrid respectively, p<0.01). CONCLUSIONS: These results demonstrate that the Internet is a viable alternative to in-person treatment for the delivery and dissemination of a behavioral weight-control intervention. The addition of periodic in-person sessions did not improve outcomes.

Neighborhood impact on healthy food availability and pricing in food stores.

Availability and price of healthy foods in food stores has the potential to influence purchasing patterns, dietary intake, and weight status of individuals. This study examined whether demographic factors of the store neighborhood or store size have an impact on the availability and price of healthy foods in sample of grocery stores and supermarkets. The Nutrition Environment Measures Study-Store (NEMS-S) instrument, a standardized observational survey, was utilized to evaluate food stores (N = 42) in a multi-site (Vermont and Arkansas) study in 2008. Census data associated with store census tract (median household income and proportion African-American) were used to characterize store neighborhood and number of cash registers was used to quantify store size. Median household income was significantly associated with the NEMS healthy food availability score (r = 0.36, P < 0.05); neither racial composition (r = -0.23, P = 0.14) nor store size (r = 0.27, P = 0.09) were significantly related to the Availability score. Larger store size (r = 0.40, P < 0.01) was significantly associated with the NEMS-S Price scores, indicating more favorable prices for healthier items; neither racial composition nor median household income were significantly related to the Price score (P's > 0.05). Even among supermarkets, healthier foods are less available in certain neighborhoods, although, when available, the quality of healthier options did not differ, suggesting that targeting availability may offer promise for policy initiatives. Furthermore, increasing access to larger stores that can offer lower prices for healthier foods may provide another avenue for enhancing food environments to lower disease risk.

Relationship between self-report and an objective measure of television-viewing time in adults.

This study compared self-reported television (TV)-viewing time with an objective measure obtained by an electronic TV monitor. As part of a larger study, 40 overweight and obese adults (BMI: 31.7 +/- 5.4 kg/m(2); 53% obese; mean age 41.4 +/- 13.0) self-reported TV-viewing time at study entry as the response to the question, "How many hours do you watch TV per day, on average?" Objective TV-viewing time was measured in min/day over 3 weeks/subject using electronic monitors. Self-reported viewing time was 4.3 +/- 1.3 h/day (mean +/- s.d.) (range: 3.0-8.0 h/day) vs. 4.9 +/- 2.6 h/day (0.8-13.3 h/day) recorded by the electronic TV monitor. Subjects underestimated their viewing time by 0.6 +/- 2.3 h/day (95% confidence interval = -1.34, 0.13), or 4.3 h/week. Slightly over half of the subjects (58%) underestimated their viewing time; 47.5% were within 1 h/day, and 72.5% were within 2 h/day of self-reported viewing time. Large errors were rare in this group, suggesting that a simple self-report measure of TV time may be useful for characterizing viewing behavior, although objective measurement adds precision that may be useful in certain settings.

Effects of television viewing reduction on energy intake and expenditure in overweight and obese adults: a randomized controlled trial.

BACKGROUND: The average adult watches almost 5 hours of television (TV) per day, an amount associated with increased risks for obesity. This trial examines the effects of TV reduction on energy intake (EI), energy expenditure (EE), energy balance, body mass index (BMI), (calculated as weight in kilograms divided by height in meters squared), and sleep in overweight and obese adults. METHODS: Randomized controlled trial of 36 adults with a BMI of 25 to 50 who self-reported a minimum of 3 h/d of TV viewing. Participants were enrolled in home-based protocols from January through July 2008. After a 3-week observation phase, participants were stratified by BMI and randomized to an observation-only control group (n = 16) or an intervention group (n = 20) for 3 additional weeks. The intervention consisted of reducing TV viewing by 50% of each participant's objectively measured baseline enforced by an electronic lock-out system. RESULTS: Although not statistically significant, both groups reduced their EI (-125 kcal/d [95% CI, -303 to 52] vs -38 [95% CI, -265 to 190]) (P = .52) for intervention and control group participants, respectively, where CI indicates confidence interval. The intervention group significantly increased EE (119 kcal/d [95% CI, 23 to 215]) compared with controls (-95 kcal/d [95% CI, -254 to 65]) (P = .02). Energy balance was negative in the intervention group between phases (-244 kcal/d [95% CI, -459 to -30]) but positive in controls (57 kcal/d [95% CI, -216 to 330]) (P = .07). The intervention group showed a greater reduction in BMI (-0.25 [95% CI, -0.45 to -0.05] vs -0.06 [95% CI, -0.43 to 0.31] in controls) (P = .33). There was no change in sleep. CONCLUSION: Reducing TV viewing in our sample produced a statistically significant increase in EE but no apparent change in EI after 3 weeks of intervention. Trial Registration clinicaltrials.gov Identifier: NCT00622050.

High-calorie-expenditure exercise: a new approach to cardiac rehabilitation for overweight coronary patients.

BACKGROUND: More than 80% of patients entering cardiac rehabilitation (CR) are overweight, and >50% have metabolic syndrome. Current CR exercise protocols result in little weight loss and minimal changes in cardiac risk factors. We sought to design an exercise protocol that would lead to greater weight loss and risk factor change. METHODS AND RESULTS: We performed a randomized controlled clinical trial to evaluate the effect of high-calorie-expenditure exercise (3000- to 3500-kcal/wk exercise-related energy expenditure) compared with standard CR exercise (7 to 800 kcal/wk) on weight loss and risk factors in 74 overweight patients with coronary heart disease. Both groups were counseled for weight loss and taking evidence-based preventive medications. High-calorie-expenditure exercise resulted in double the weight loss (8.2+/-4 versus 3.7+/-5 kg; P<0.001) and fat mass loss (5.9+/-4 versus 2.8+/-3 kg; P<0.001) and a greater waist reduction (-7+/-5 versus -5+/-5 cm; P=0.02) than standard CR exercise at 5 months. High-calorie-expenditure exercise reduced insulin resistance, measured with the euglycemic hyperinsulinemic clamp, along with the ratio of total to high-density lipoprotein cholesterol and components of the metabolic syndrome, more than standard CR exercise (each P<0.01). Overall, fat mass loss best predicted improved metabolic risk, and the prevalence of metabolic syndrome decreased from 59% to 31%. Changes in cardiac risk factors included decreased insulin resistance, increased high-density lipoprotein cholesterol, and decreased measures of insulin, triglycerides, blood pressure, plasminogen activator inhibitor-1, and the ratio of total to high-density lipoprotein cholesterol (each P<0.05). Significant weight loss was maintained at 1 year. CONCLUSIONS: High-calorie-expenditure exercise promotes greater weight loss and more favorable cardiometabolic risk profiles than standard CR for overweight coronary patients.

Recent advances in internet-delivered, evidence-based weight control programs for adults.

With the explosion of Internet accessibility, online delivery offers potential for significantly greater reach of evidence-based obesity treatment programs for adults. Online behavioral weight control has been shown to produce significant weight loss, with more recent programs demonstrating larger losses and general consumer satisfaction. A growing literature indicates several program parameters that may offer greatest engagement in online obesity interventions and better weight loss outcomes, including interactive, dynamic Web site features and synchronous counselor contact, although this research is in the early stages, and a clear picture of the essential components for the most effective online obesity program remains to be determined. Further research is required to enhance weight loss outcomes, determine cost-effectiveness of Internet-delivered programs, and identify the individuals most likely to benefit from treatment in this format.