Search

Providing interventions that facilitate improvement of dietary intake and other health behaviors can improve nutrition-related outcomes in adults with overweight or obesity. Medical nutrition therapy (MNT) behavioral interventions require expertise from registered dietitian nutritionists or international equivalents (dietitians), which no other health care provider can provide for adults with obesity. Current evidence supports the role of MNT behavioral interventions for adults with overweight or obesity as an effective treatment option, when appropriate for and desired by the client. This Academy of Nutrition and Dietetics Position Paper describes potential benefits and concerns regarding dietitian-provided MNT behavioral interventions for adults with overweight and obesity and informs dietitians about implications for practice. This Position Paper is supported by a systematic review examining effectiveness of MNT interventions provided by dietitians and by an evidence-based practice guideline. It is the position of the Academy of Nutrition and Dietetics that MNT behavioral interventions for adults (aged 18 years and older) with overweight or obesity should be a treatment option, when appropriate and desired by the client, to improve cardiometabolic, quality of life, and anthropometric outcomes. Dietitians providing MNT recognize the complex contributors to overweight and obesity, and thus individualize interventions, based on a shared decision-making process, and deliver interventions in an inclusive, compassionate, and client-centered manner. Interventions should include collaboration with an interprofessional team when needed. Dietitians strive to increase health equity and reduce health disparities by advocating and providing opportunities for increased access to effective nutrition care services. This position remains in effect until December 31, 2031., (Copyright © 2024 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

This review explores the hypothesis that a consistent exercise time, especially consistent morning exercise, improves exercise adherence and weight management for individuals with overweight or obesity. We discuss data supporting this premise, identify limitations of current research, and outline directions for future research on exercise timing to more robustly evaluate our thesis.

Objective: This study aimed to determine whether weight losses from a primarily smartphone-based behavioral obesity treatment (SMART) differed from those of a more intensive group-based behavioral obesity treatment (GROUP) and a control condition (CONTROL)., Methods: A total of 276 adults with overweight/obesity were randomly assigned to 18 months of GROUP-based treatment with meetings weekly for 6 months, meetings biweekly for 6 months, and meetings monthly for 6 months and self-monitoring via paper diaries with written feedback; SMART-based treatment with online lessons, self-monitoring, and feedback plus monthly weigh-ins; or a CONTROL condition with self-monitoring via paper diaries with written feedback and monthly weigh-ins., Results: Among the 276 participants (17% men; 7.2% minority; mean [SD] age: 55.1 [9.9] years; weight: 95.9 [17.0] kg; BMI: 35.2 [5.0] kg/m 2 ), 18-month retention was significantly higher in both GROUP (83%) and SMART (81%) compared with CONTROL (66%). Estimated mean (95% CI) weight change over 18 months did not differ across the three conditions: 5.9 kg (95% CI: 4.5-7.4) in GROUP, 5.5 kg (95% CI: 3.9-7.1) in SMART, and 6.4 kg (95% CI: 3.7-9.2) in CONTROL., Conclusions: Mobile online delivery of behavioral obesity treatment can achieve weight loss outcomes that are at least as good as those obtained via the more intensive gold standard group-based approach., (© 2019 The Obesity Society.)

Maintaining dietary self-monitoring during obesity treatment may improve outcomes. As dietary variety is associated with energy intake, understanding the pattern of when new foods and beverages are consumed may assist with identifying when self-monitoring should occur. This study examined dietary variety (total number of differing foods and beverages consumed) from the first 40 days of self-monitoring records reporting ≥ 3 eating occasions and >600 kcal/day from 60 adults (55.9 ± 9.1 yrs, 35.1 ± 5.3 kg/m 2 , 80.0% female, 95.0% white) participating in a smartphone-based, lifestyle intervention. Dietary variety was coded using an ingredient-based approach. Additionally, new flavors of previously consumed items, and modified and non-modified items contributed to variety. Total number of different foods and beverages consumed over 40 coded days (cumulative variety [cv 40 ]); number of days to reach 50%, 75%, and 100% of cv 40 ; cv 40 by eating occasions; and mean number of new items consumed on weekdays and weekend days were calculated. CV 40 was 145.4 ± 33.5. Number of coded days to consume 50%, 75%, and 100% of cv 40 was 12.7, 25.1, and 40.0, respectively. Dinner was greater (p < 0.0001) in cv 40 (58.6 ± 18.5 different items) than other eating occasions, and lunch was greater (p < 0.0001) (38.8 ± 10.7 different items) than breakfast and snack. Weekend days had a greater mean number of new items consumed than weekdays, (3.8 ± 1.0 items vs. 3.6 ± 0.9 items, p = 0.035). Variety of items consumed during obesity treatment is high, and to capture the majority of differing items consumed, at least 4 weeks of detailed recording is needed. After this, to capture new foods and beverages consumed, self-monitoring dinners, lunch, and weekend days may be helpful., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Timing of energy intake, a temporal dietary pattern, may enhance health. Eating a greater amount of energy earlier and a smaller amount of energy later in the day, a behavioral circadian rhythm, may assist with chronoenhancement. Chronoenhancement seeks to enhance entrainment (synchronization) of biological and behavioral circadian rhythms. In humans, research reports that eating a greater amount of energy early and a smaller amount of energy later in the day increases dietary induced thermogenesis, improves cardiometabolic outcomes, and enhances weight loss. However, little human research has examined if this eating pattern enhances regularity of biological circadian rhythm. In a randomized controlled 8-week pilot study, the influence of energy distribution timing on weight loss and regularity of sleep onset and wake times (marker for biological circadian rhythm) was examined. Within an hypocaloric, three-meal prescription, participants (n = 8) were assigned to either: 1) Morning: 50%, 30%, and 20% of kcal at breakfast, lunch, and dinner, respectively; or 2) Evening: 20%, 30%, and 50% of kcal at breakfast, lunch, and dinner, respectively. Percent weight loss and regularity of sleep onset and wake times were significantly (p < 0.05) greater for Morning than Evening. To enhance understanding of the influence of energy distribution timing on health, longer studies conducted in free-living participants, with dietary intake assessed using time-stamped methods, that include measures of the circadian timing system are needed. This small review is based upon a symposium presentation at the Society of the Study of Ingestive Behavior in 2017., (Copyright © 2018 Elsevier Inc. All rights reserved.)

The purpose of this study was to explore relations between food craving, caloric intake, and body mass index (BMI) changes over the course of an 18-month weight loss trial. Two-hundred two obese adults (mean BMI = 34.9 kg/m 2 ; mean age = 51.30 years, 92.2% White; 57.8% female) who participated in a behavioral weight loss trial completed measures of food craving, caloric intake, and BMI at baseline, 6 and 18 months. From baseline to 6 months, higher initial food cravings were associated with more gradual and less steep reductions in BMI. Additionally, the relation between changes in food craving and BMI changes varied by levels of change in caloric intake, such that BMI change and change in food cravings were positively associated at low levels of change in caloric intake, but were unrelated at average and high levels of change in caloric intake. Similarly, from baseline to 6 months and from 6 to 18 months, the relation between changes in food craving and BMI changes also varied by initial levels of caloric intake. Explicit clinical targeting of food craving management may be beneficial for individuals beginning weight loss programs, especially for those who report higher levels of food craving at baseline. Baseline caloric intake and change in calorie intake over time may serve as moderators of the relation between food cravings and BMI.

Objective: To evaluate a commercial online weight loss program and activity tracker, which are popular but have unknown efficacy., Methods: Two hundred seventy-nine participants with BMI 27 to 40 kg/m 2 were randomized to 12 months of the Weight Watchers Online program alone (WWO) or with the ActiveLink ® activity tracking device (WWO+AL) or an online newsletter (Control)., Results: Weight losses at 3 months were significantly greater in WWO (2.7 kg [95% confidence interval (CI), 2.0-3.5 kg] than Control (1.3 kg [95% CI, 0.5-2.0 kg]; P = 0.01); neither differed from WWO+AL (2.0 kg [95% CI, 1.3-2.7 kg]; Ps > 0.56). Significantly more WWO participants (24.5%) achieved ≥ 5% weight loss at 3 months than Control (9.4%) (P = 0.01); neither differed from WWO+AL (17.6%) (Ps = 0.13-0.28). At 12 months, there were no significant differences between groups in weight loss (Ps > 0.52). WWO (25.5%) continued to have a higher proportion of participants achieving ≥ 5% weight loss than Control (12.9%) (P = 0.04); neither differed from WWO+AL (14.3%) (Ps > 0.10). There were no significant between-group differences in change in physical activity (Ps > 0.17)., Conclusions: WWO produced significantly more weight loss at 3 months relative to Control, but not at 12 months. Significantly more WWO than Control participants lost ≥ 5% at both 3 and 12 months. Participants receiving an activity tracking device did not achieve greater weight loss or physical activity increases than those in a Control condition., (© 2017 The Obesity Society.)

It is the position of the Academy of Nutrition and Dietetics that successful treatment of overweight and obesity in adults requires adoption and maintenance of lifestyle behaviors contributing to both dietary intake and physical activity. These behaviors are influenced by many factors; therefore, interventions incorporating more than one level of the socioecological model and addressing several key factors in each level may be more successful than interventions targeting any one level and factor alone. Registered dietitian nutritionists, as part of a multidisciplinary team, need to be current and skilled in weight management to effectively assist and lead efforts that can reduce the obesity epidemic. Using the Academy of Nutrition and Dietetics' Evidence Analysis Process and Evidence Analysis Library, this position paper presents the current data and recommendations for the treatment of overweight and obesity in adults. Evidence on intrapersonal influences, such as dietary approaches, lifestyle intervention, pharmacotherapy, and surgery, is provided. Factors related to treatment, such as intensity of treatment and technology, are reviewed. Community-level interventions that strengthen existing community assets and capacity and public policy to create environments that support healthy energy balance behaviors are also discussed., (Copyright © 2016 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Little is known about diet quality with a reduced-energy, low-fat, partial meal replacement plan, especially in individuals with type 2 diabetes. The Action for Health in Diabetes (Look AHEAD) trial implemented a partial meal replacement plan in the Intensive Lifestyle Intervention., Objective: To compare dietary intake and percent meeting fat-related and food group dietary recommendations in Intensive Lifestyle Intervention and Diabetes Support and Education groups at 12 months., Design: A randomized controlled trial comparing Intensive Lifestyle Intervention with Diabetes Support and Education at 0 and 12 months., Participants/setting: From 16 US sites, the first 50% of participants (aged 45 to 76 years, overweight or obese, with type 2 diabetes) were invited to complete dietary assessments. Complete 0- and 12-month dietary assessments (collected between 2001 and 2004) were available for 2,397 participants (46.6% of total participants), with 1,186 randomized to Diabetes Support and Education group and 1,211 randomized to Intensive Lifestyle Intervention group., Main Outcome Measures: A food frequency questionnaire assessed intake: energy; percent energy from protein, fat, carbohydrate, polyunsaturated fatty acids, and saturated fats; trans-fatty acids; cholesterol; fiber; weekly meal replacements; and daily servings from food groups from the Food Guide Pyramid., Statistical Analyses Performed: Mixed-factor analyses of covariance, using Proc MIXED with a repeated statement, with age, sex, race/ethnicity, education, and income controlled. Unadjusted χ² tests compared percent meeting fat-related and food group recommendations at 12 months., Results: At 12 months, Intensive Lifestyle Intervention participants had a significantly lower fat and cholesterol intake and greater fiber intake than Diabetes Support and Education participants. Intensive Lifestyle Intervention participants consumed more servings per day of fruits; vegetables; and milk, yogurt, and cheese; and fewer servings per day of fats, oils, and sweets than Diabetes Support and Education participants. A greater percentage of Intensive Lifestyle Intervention participants than Diabetes Support and Education participants met fat-related and most food group recommendations. Within Intensive Lifestyle Intervention, a greater percentage of participants consuming two or more meal replacements per day than participants consuming less than one meal replacement per day met most fat-related and food group recommendations., Conclusions: The partial meal replacement plan consumed by Intensive Lifestyle Intervention participants was related to superior diet quality., (Copyright © 2015 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

There is considerable interest in the role of sleep in weight regulation, yet few studies have examined this relationship in overweight/obese (OW/OB) adults. Using a within-subject, counterbalanced design, 12 OW/OB women were studied in lab with two nights of short (5 hr time in bed [TIB]) and two nights of long (9 hr TIB) sleep. Hunger, consumption at a buffet, and fasting hormone levels were obtained. Significant polysomnographic differences occurred between conditions in total sleep time and sleep architecture (ps < .001). Percent energy from protein at the buffet increased following short sleep. No differences were observed for total energy intake or measured hormones. Further research is needed to determine how lengthening sleep impacts weight regulation in OW/OB adults.

Objective: Behavioral economic theory predicts that reductions in consumption of highly valued commodities, such as drugs or palatable food items, are facilitated by increasing engagement in reinforcing substitutes. The current study prospectively examines changes in engagement in and enjoyment of food versus food-free activities during an 18-month behavioral weight loss intervention., Method: Participants were 202 overweight/obese individuals who took part in an 18-month behavioral weight loss treatment and were randomly assigned to a traditional hypocaloric, low-fat diet condition or a traditional hypocaloric, low-fat diet plus a goal to limit variety in snack food consumption condition. At baseline and 6, 12, and 18 months, participants were weighed and completed a measure that assessed recent frequency of engagement in and enjoyment of a variety of both food and food-free activities., Results: Growth models revealed a statistically significant decrease in the relative percentage of food-related reinforcement (vs. food-free) over time (reinforcement ratio, or RR), with the greatest reduction during the first 6 months of treatment. Food-related reinforcement decreased over time, and food-free reinforcement increased. Additionally, the RR change predicted change in body mass index (BMI) from 0 to 6 months and 0 to 18 months, such that greater changes in RR were associated with greater changes in BMI., Conclusions: Findings suggest that behavioral weight loss treatment may promote a shift away from food-related reinforcement toward food-free reinforcement and that this change may predict BMI change. Future interventions may consider targeting increasing engagement in enjoyable food-free activities to help with long-term maintenance., (PsycINFO Database Record (c) 2014 APA, all rights reserved.)

Objectives: To examine if physical activity (PA) variety was associated with moderate- to vigorous-intensity PA (MVPA) energy expenditure and body mass index (BMI) at 18 months during an obesity intervention., Methods: Participants with ≥ 10 minutes/week of MVPA at 6 months and complete PA data were included. Participants were classified into Variety (N = 30), ≥ 2 different activities/week, or Less Variety (N = 65), only 1 activity/week., Results: Weekly MVPA-related energy expenditure was higher for Variety than Less Variety (3674.7 ± 1934.6 kcal/week vs 2197.3 ± 1841.4 kcal/week, p < .05) at 18 months, with no difference in BMI., Conclusions: Greater weekly PA variety during obesity treatment was related to greater 18-month MVPA energy expenditure.

Purpose: Excessive sedentary time (SED) has been linked to obesity and other adverse health outcomes. However, few sedentary-reducing interventions exist and none have utilized smartphones to automate behavioral strategies to decrease SED. We tested a smartphone-based intervention to monitor and decrease SED in overweight/obese individuals, and compared 3 approaches to prompting physical activity (PA) breaks and delivering feedback on SED., Design and Methods: Participants [N = 30; Age = 47.5(13.5) years; 83% female; Body Mass Index (BMI) = 36.2(7.5) kg/m2] wore the SenseWear Mini Armband (SWA) to objectively measure SED for 7 days at baseline. Participants were then presented with 3 smartphone-based PA break conditions in counterbalanced order: (1) 3-min break after 30 SED min; (2) 6-min break after 60 SED min; and (3) 12-min break after 120 SED min. Participants followed each condition for 7 days and wore the SWA throughout., Results: All PA break conditions yielded significant decreases in SED and increases in light (LPA) and moderate-to-vigorous PA (MVPA) (p<0.005). Average % SED at baseline (72.2%) decreased by 5.9%, 5.6%, and 3.3% [i.e. by mean (95% CI) -47.2(-66.3, -28.2), -44.5(-65.2, -23.8), and -26.2(-40.7, -11.6) min/d] in the 3-, 6-, and 12-min conditions, respectively. Conversely, % LPA increased from 22.8% to 26.7%, 26.7%, and 24.7% [i.e. by 31.0(15.8, 46.2), 31.0(13.6, 48.4), and 15.3(3.9, 26.8) min/d], and % MVPA increased from 5.0% to 7.0%, 6.7%, and 6.3% (i.e. by 16.2(8.5, 24.0), 13.5(6.3, 20.6), and 10.8(4.2, 17.5) min/d] in the 3-, 6-, and 12-min conditions, respectively. Planned pairwise comparisons revealed the 3-min condition was superior to the 12-min condition in decreasing SED and increasing LPA (p<0.05)., Conclusion: The smartphone-based intervention significantly reduced SED. Prompting frequent short activity breaks may be the most effective way to decrease SED and increase PA in overweight/obese individuals. Future investigations should determine whether these SED reductions can be maintained long-term., Trial Registration: ClinicalTrials.gov NCT01688804.

Objective: Food reinforcement and delay discounting (DD) independently predict body mass index (BMI), but there is no research studying whether these variables interact to improve prediction of BMI., Methods: BMI, the relative reinforcing value of high (PMAXHED ) and low (PMAXLED ) energy dense food, and DD for $10 and $100 future rewards (DD10 , DD100 ) were measured in 199 adult females., Results: PMAXHED (P = 0.017), DD10 (P = 0.003), and DD100 (P = 0.003) were independent predictors of BMI. The interaction of PMAXLED × DD10 (P = 0.033) and DD100 (P = 0.039), and PMAXHED × DD10 (P = 0.038) and DD100 (P = 0.045) increased the variance accounted for predicting BMI beyond the base model controlling for age, education, minority status, disinhibition, and dietary restraint. Based on the regression model, BMI differed by about 2 BMI units for low versus high food reinforcement, by about 3 BMI units for low versus high DD, and by about 4 BMI units for those high in PMAXHED , but low in DD versus high in PMAXHED and high in DD., Conclusion: Reducing DD may help prevent obesity and improve treatment of obesity in those who are high in food reinforcement., (Copyright © 2013 The Obesity Society.)

Objective: To determine whether daily self-weighing (DSW) is associated with disordered eating (DE) symptoms within an adult lifestyle intervention (LI), and to examine changes in DE symptoms during the 18-month trial., Method: One-hundred and seventy-eight adults (53% female, 90% White, 52.0 ± 8.6 years, BMI = 35.0 ± 4.4 kg/m2) were enrolled in a randomized trial testing 2 dietary prescriptions within a LI (standard vs. limited dietary variety). Both arms were taught DSW and had the same contact schedule and calorie and activity goals. Frequency of weighing and DE were assessed at 0, 6, 12, and 18 months. Analyses controlled for treatment arm., Results: At baseline, 16.3% of participants reported weighing ≥ daily compared with 83.7%, 72.3%, and 68.2% at 6, 12, and 18 months, respectively. There was no relationship between change in frequency of self-weighing and change in DE symptoms at any time point. Further, there were no significant differences between those who weighed ≥ daily versus < daily on DE composite scores at baseline or 6 months; at 12 and 18 months participants who weighed ≥ daily reported lower DE scores compared with those who weighed < daily (p = .008 and .043 at 12 and 18 months, respectively). Participants who weighed ≥ daily achieved better weight losses than those weighing < daily at 12 and 18 months (p = .003 and <.001). There was a significant reduction over time in DE symptoms (p < .0001) and a reduction in odds of meeting criteria for Binge Eating Disorder (BED; ps < .001)., Conclusions: Daily self-weighing did not appear to be related to increased disordered eating behavior and was associated with better weight loss outcomes., (PsycINFO Database Record (c) 2014 APA, all rights reserved.)

Objective: To examine the effect of experimental changes in children's sleep duration on self-reported food intake, food reinforcement, appetite-regulating hormones, and measured weight., Methods: Using a within-subjects, counterbalanced, crossover design, 37 children, 8 to 11 years of age (27% overweight/obese) completed a 3-week study. Children slept their typical amount at home for 1 week and were then randomized to either increase or decrease their time in bed by 1.5 hours per night for 1 week, completing the alternate schedule on the third week. Primary outcomes were dietary intake as assessed by 24-hour dietary recalls, food reinforcement (ie, points earned for a food reward), and fasting leptin and ghrelin. The secondary outcome was child weight., Results: Participants achieved a 2 hour, 21 minute difference in the actigraph defined sleep period time between the increase and decrease sleep conditions (P < .001). Compared with the decrease sleep condition, during the increase condition, children reported consuming an average of 134 kcal/day less (P < .05), and exhibited lower fasting morning leptin values (P < .05). Measured weights were 0.22 kg lower during the increase sleep than the decrease sleep condition (P < .001). There were no differences in food reinforcement or in fasting ghrelin., Conclusions: Compared with decreased sleep, increased sleep duration in school-age children resulted in lower reported food intake, lower fasting leptin levels, and lower weight. The potential role of sleep duration in pediatric obesity prevention and treatment warrants further study.

Objective: To develop and validate the Weight Control Strategies Scale (WCSS), a self-report instrument to assess the use of specific behaviors thought to facilitate weight loss., Design and Methods: Factor analysis was conducted on 323 overweight and obese adults (mean age = 48.7 ± 10.9 years, mean body mass index = 35.4 ± 4.9 kg/m(2) , 74% female) enrolled in three different behavioral weight loss trials who completed the WCSS prior to starting treatment. To evaluate construct validity, additional data on dietary intake, physical activity, treatment session attendance, and weight change were obtained from a subsample of participants before and after participation in a 48-week weight loss program., Results: Principal components analysis with varimax rotation revealed a four-component solution for the WCSS, representing the following subscales: Dietary Choices, Self-monitoring Strategies, Physical Activity, and Psychological Coping (α from 0.79 to 0.89). Longitudinal analyses showed that WCSS subscale scores increased during treatment (P < 0.01). In adjusted models, changes in WCSS total and subscale scores were associated with post-treatment weight loss (P < 0.01). Additionally, changes in WCSS Dietary Choices and Physical Activity subscales were related to post-treatment changes in total daily kilocalorie consumption (P = 0.019) and weekly kilocalorie expenditure through physical activity (P < 0.001), respectively., Conclusions: Findings support the validity and reliability of the WCSS in a weight loss treatment-seeking sample., (Copyright © 2013 The Obesity Society.)

The more time adults spend being sedentary, the greater the risk of obesity. The effect of reducing television (TV) watching, a prominent sedentary behavior, on weight loss has not been tested in an adult standard behavioral obesity intervention, and the mechanisms by which reducing TV watching influences energy balance behaviors are not well understood. Two, 8-week, pilot, randomized controlled trials were conducted examining the effect of a reduced TV watching prescription on energy balance behaviors and weight loss within an adult standard behavioral obesity intervention. In the first study, participants (n=24) were randomized into one of two conditions: (a) reduce energy intake and increase moderate to vigorous physical activity (MVPA) (INCREASE PA); or (b) reduce energy intake and decrease TV watching (DECREASE TV). As findings from the first pilot study did not show an increase in MVPA in the DECREASE TV group, the second study was designed to examine the effect of adding a reduced TV prescription to a standard intervention to optimize outcomes. In Pilot Study 2, participants (n=28) were randomized to INCREASE PA or to INCREASE PA+DECREASE TV. Outcomes included objectively measured TV watching and MVPA, self-reported light physical activity (LPA-Pilot Study 2 only), self-reported dietary intake while watching TV, and weight. Conditions with TV watching prescriptions significantly reduced TV watching. Both studies showed medium to large effect sizes for conditions with TV watching prescriptions to show greater reductions in dietary intake while watching TV. Pilot Study 1 found a trend for an increase in MVPA in INCREASE PA and Pilot Study 2 found significant increases in MVPA in both conditions. Pilot Study 2 found a significant increase in LPA in the INCREASE PA+DECREASE TV. Results indicate adding a TV watching prescription to a standard obesity intervention did not enhance increases in MVPA, but may assist with reducing dietary intake while TV watching and increasing LPA. Future research should examine the effect of reducing TV watching during obesity treatment over a longer time frame in a larger sample., (Copyright © 2013. Published by Elsevier Ltd.)

Little is known as to how 6-n-propylthiouracil (PROP) taster status may influence changes in dietary intake in adults participating in a lifestyle intervention to assist with reducing weight. This secondary data analysis examined changes in energy, percent energy from macronutrients, and food group intake; physical activity; and body mass index (BMI) in super-tasters and non-tasters participating in two randomized controlled trials implementing a lifestyle obesity intervention. One trial focused on lowering energy density of the diet and the other trial focused on changing eating frequency. Overweight and obese participants (n = 57) who completed measures of dietary intake, physical activity, and anthropometrics at 0 and 3 months were included in the analyses. Taster status was determined at baseline: 46 non-tasters and 11 super-tasters. After controlling for condition assignment and baseline values, results indicated that a significantly greater reduction in energy intake occurred for super-tasters as compared to non-tasters (-1149 ± 561 kcal/day vs. -902 ± 660 kcal/day, p < 0.05). No other significant differences in changes in dietary intake, physical activity, or BMI were found. These results suggest that in situations of reducing energy intake, overweight and obese super-tasters may be more successful than overweight and obese non-tasters. More research is needed to understand the influence of taster-status on dietary change during a lifestyle intervention and how this may impact weight loss., (Copyright © 2013 Elsevier Ltd. All rights reserved.)

As many people struggle with maintenance of weight loss, the study of successful weight loss maintainers (SWLM) can yield important insights into factors contributing to weight loss maintenance. However, little research has examined how SWLM differ from people who are obese or normal weight (NW) in brain response to orosensory stimulation. The goal of this study was to determine if SWLM exhibit different brain responses to orosensory stimulation. Brain response to 1-min orosensory stimulation with a lemon lollipop was assessed using functional magnetic resonance imaging among 49 participants, including SWLM (n = 17), NW (n = 18), and obese (n = 14) controls. Significant brain responses were observed in nine brain regions, including the bilateral insula, left inferior frontal gyrus, left putamen, and other sensory regions. All regions also exhibited significant attenuation of this response over 1 min. The SWLM exhibited greater response compared with the other groups in all brain regions. Findings suggest that the response to orosensory stimulation peaks within 40 s and attenuates significantly between 40 and 60 s in regions associated with sensation, reward, and inhibitory control. Greater reactivity among the SWLM suggests that greater sensory reactivity to orosensory stimulation, increased anticipated reward, and subsequently greater inhibitory processing are associated with weight loss maintenance.

Dietary goals specific for lowering energy density (ED) may promote a nutrient-dense diet and weight loss. This pilot study examined the effects of ED-based diet prescriptions on diet quality and weight loss during a 3-month behavior-based obesity intervention conducted in a research setting. Forty-four adults with overweight/obesity (age 52.1±7.6 years, body mass index [BMI; calculated as kg/m(2)] 34.8±4.8, 81.8% women, and 93.2% white) were recruited between December 2009 and March 2010 and randomly assigned to: Low ED (consume ≥10 foods ≤1.0 kcal/g dietary ED and ≤2 foods ≥3.0 kcal/g dietary ED per day (n=15); Low-Energy, Low-Fat (1,200 to 1,500 kcal/day, ≤30% energy from fat (n=15); or Low-ED, Low-Energy, Low-Fat (n=14). Participants received 12 weekly group sessions led by a research interventionist. Dietary intake (measured by 3-day food records), self-reported physical activity, and weight were measured at baseline and 3 months. Intent-to-treat analyses showed all conditions reduced dietary ED and energy intake (P<0.001). Low-ED and Low-ED, Low-Energy, Low-Fat interventions increased fruit consumption (P<0.05). All conditions increased self-reported physical activity (P<0.001), with no difference between conditions. Although participants in all conditions lost weight (P<0.001), those in the Low-ED condition lost more (P<0.05) than those in the Low-ED, Low-Energy, Low-Fat condition (Low-ED -20.5±7.0 lb, Low-Energy, Low-Fat -16.9±10.1 lb, and Low-ED, Low-Energy, Low-Fat -12.5± 6.5 lb). A diet prescription that lowered ED increased fruit intake and enhanced weight loss compared with other weight loss prescriptions., (Copyright © 2012 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

Background: Dietary variety is a factor that influences consumption but has received little attention in obesity treatment., Objective: This study examined the effect of limiting the variety of different non-nutrient-dense, energy-dense foods (NND-EDFs) (i.e., chips, ice cream, cookies) on dietary intake and weight loss during an 18-mo lifestyle intervention., Design: Two hundred two adults aged 51.3 ± 9.5 y with a BMI (in kg/m2) of 34.9 ± 4.3 (57.8% women, 92.2% white) were randomly assigned to 1 of 2 interventions: Lifestyle (1200-1500 kcal/d, ≤30% of energy as fat; n = 101) or Lifestyle + limited variety (LV) (limit variety of NND-EDFs, i.e., 2 choices; n = 101). Both interventions involved 48 group sessions. Dietary intake, NND-EDF hedonics, NND-EDF variety in the home, and weight were assessed at 0, 6, 12, and 18 mo., Results: Intent-to-treat analyses showed that the Lifestyle+LV group consumed less variety (P < 0.01) and energy daily (P < 0.05) from NND-EDFs than did the Lifestyle group at 6, 12, and 18 mo. The Lifestyle+LV group consumed less total energy daily (P < 0.05) at 6 mo than did the Lifestyle group. The Lifestyle+LV group reported less (P < 0.05) NND-EDF variety in the home at 6 and 18 mo than did the Lifestyle group. The hedonics of one chosen NND-EDF decreased more (P < 0.05) in the Lifestyle+LV group. Despite these effects, no difference in percentage weight loss occurred at 18 mo (Lifestyle+LV: -9.9 ± 7.6%; Lifestyle: -9.6 ± 9.2%)., Conclusions: Limitations in dietary variety decreased intakes in the targeted area but did not affect weight loss. Limiting variety in more areas may be needed to improve weight loss and weight-loss maintenance. This trial was registered at clinicaltrials.gov as NCT01096719.

Background: Genome-wide association studies (GWAS) have identified consistent associations with obesity. However, the mechanisms remain unclear., Objective: The objective was to determine the association between obesity susceptibility loci and dietary intake., Design: The association of GWAS-identified obesity risk alleles (FTO, MC4R, SH2B1, BDNF, INSIG2, TNNI3K, NISCH-STAB1, MTIF3, MAP2K5, QPCTL/GIPR, and PPARG) with dietary intake, measured through food-frequency questionnaires, was investigated in 2075 participants from the Look AHEAD (Action for Health in Diabetes) clinical trial. We adjusted for age, sex, population stratification, and study site., Results: Obesity risk alleles at FTO rs1421085 significantly predicted more eating episodes per day (P = 0.001)-an effect that persisted after adjustment for body weight (P = 0.004). Risk variants within BDNF were significantly associated with more servings from the dairy product and the meat, eggs, nuts, and beans food groups (P ≤ 0.004). The risk allele at SH2B1 rs4788099 was significantly associated with more servings of dairy products (P = 0.001), whereas the risk allele at TNNI3K rs1514176 was significantly associated with a lower percentage of energy from protein (P = 0.002)., Conclusion: These findings suggest that obesity risk loci may affect the pattern and content of food consumption among overweight or obese individuals with type 2 diabetes. The Look AHEAD Genetic Ancillary Study was registered at clinicaltrials.gov as NCT01270763 and the Look AHEAD study as NCT00017953.

Eating frequency has been inversely related to BMI but the impact of eating frequency on weight loss is unclear. This randomized controlled trial pilot study examined the effect of eating frequency on hunger, energy intake, and weight loss during a 6-month behavioral weight loss intervention. Participants (age: 51.0 ± 9.9 years, BMI: 35.5 ± 4.8 kg/m(2), 57.8% female, 94.1% white) were randomized to one of two eating frequency prescriptions: Three meal (n = 25): three eating bouts/day; or grazing (n = 26): eat at least 100 kcals every 2-3 h. Both groups attended 20 sessions and had identical dietary (1,200-1,500 kcals/day, <30% kcals from fat) and physical activity goals (200 min/week). Assessments were conducted at 0, 3, and 6 months. Using intent-to-treat analyses, grazing reported a greater eating frequency than three meal at 6 months (5.8 ± 1.1 eating bouts/day vs. 3.2 ± 0.6 eating bouts/day, P < 0.001). Grazing reported a significant reduction in hunger from 0 to 6 months (56.3 ± 15.7 mm vs. 47.9 ± 18.5 mm, P < 0.05). Energy intake and BMI were significantly (P < 0.001) reduced from 0 to 6 months (energy intake: 2,198 ± 692 kcals/day vs. 1,266 ± 353 kcals/day; BMI: 35.5 ± 4.8 kg/m(2) vs. 30.6 ± 4.9 kg/m(2)). There were no significant differences in energy intake or BMI between the groups. While eating more frequently reduced hunger, it may not be related to greater reductions in energy intake or BMI during a behavioral weight loss intervention.

Much attention has been paid to the behavioral characteristics of successful weight loss maintenance, but less is known about the cognitive processes that underlie this process. The purpose of this study was to investigate cognitive interference from food-related cues in long-term weight loss maintainers (WLM; N = 15) as compared with normal weight (NW; N = 19) and obese (OB; N = 14) controls. A Food Stroop paradigm was used to determine whether successful WLM differed from controls in both the speed and accuracy of color naming words for low-calorie and high-calorie foods. A significant group × condition interaction for reaction time was observed (P = 0.04). In post hoc analyses, no significant differences in reaction time across the three groups were observed for the low-calorie foods (P = 0.66). However, for the high-calorie foods, WLM showed a significantly slower reaction time than the NW (0.04) and OB (0.009) groups (885 ± 17.6, 834 ± 15.8, 816 ± 18.3 ms, respectively). No significant group differences were seen for number of correct trials in 45 s (P = 0.12). The differential interference among WLM did not appear to generalize to other types of distracters (i.e., nonfood). Overall, findings from this study suggest that WLM differ from OB and NW controls in their cognitive responses to high-calorie food cues. Future research is needed to better understand why this bias exists and whether and how interventions can change cognitive processes to better facilitate long-term weight control.

Purpose: To determine whether baseline intake or initial changes in intake of fruits (F), vegetables (V), snack foods (SF), and reduced-calorie snack foods (RCSF) during standard behavioral weight loss treatment predict BMI reductions among overweight adolescents. Given conflicting messages between child and adult weight loss interventions, the role of RCSF in adolescent weight control was of particular interest., Methods: Seventy-two adolescents, 13-16 years old, participating in a 16-week behavioral weight loss trial with diet records at baseline and 4 weeks were included. Height and weight were measured at 0 and 16 weeks. Frequency of intake of F, V, SF, and RCSF were obtained from 7-day food records at 0 and 4 weeks., Results: Male gender, higher initial frequency of intake of V and increased frequency of intake of F and RCSF over the first 4 weeks of treatment accounted for 43% of the variance in BMI reduction at 16 weeks (p<.001)., Conclusions: Early changes in eating habits, including increased frequency of intake of F and RCSF may promote greater adolescent BMI reductions., (Copyright © 2010 Elsevier Ltd. All rights reserved.)

Background: Prior research indicates that successful weight-loss maintainers (SWLs) work harder than people of normal weight to maintain their weight loss, including greater dietary restriction of fat and higher physical activity levels. However, little work to date has examined how SWLs differ biologically from normal-weight (NW) and obese controls., Objective: The objective was to compare the brain responses of SWLs to food pictures with those of NW and obese controls., Design: Blood oxygen level-dependent responses to high- and low-energy food pictures were measured in 18 NW controls, 16 obese controls, and 17 SWLs., Results: Group differences were identified in 4 regions, which indicated significant change in activation in response to the food pictures. SWLs showed greater activation in the left superior frontal region and right middle temporal region than did NW and obese controls-a pattern of results confirmed in exploratory voxel-wise analyses. Obese controls also showed greater activation in a bilateral precentral region., Conclusions: These results suggest that SWLs show greater activation in frontal regions and primary and secondary visual cortices-a pattern consistent with greater inhibitory control in response to food cues and greater visual attention to the food cues. A greater engagement of inhibitory control regions in response to food cues as well as a greater monitoring of foods may promote control of food intake and successful weight-loss maintenance.

Objective: Evaluate enrollment numbers, randomization rates, costs, and cost-effectiveness of active versus passive recruitment methods for parent-child dyads into two pediatric obesity intervention trials., Methods: Recruitment methods were categorized into active (pediatrician referral and targeted mailings, with participants identified by researcher/health care provider) versus passive methods (newspaper, bus, internet, television, and earning statements; fairs/community centers/schools; and word of mouth; with participants self-identified). Numbers of enrolled and randomized families and costs/recruitment method were monitored throughout the 22-month recruitment period. Costs (in USD) per recruitment method included staff time, mileage, and targeted costs of each method., Results: A total of 940 families were referred or made contact, with 164 families randomized (child: 7.2+/-1.6 years, 2.27+/-0.61 standardized body mass index [zBMI], 86.6% obese, 61.7% female, 83.5% Caucasian; parent: 38.0+/-5.8 years, 32.9+/-8.4 BMI, 55.2% obese, 92.7% female, 89.6% caucasian). Pediatrician referral, followed by targeted mailings, produced the largest number of enrolled and randomized families (both methods combined producing 87.2% of randomized families). Passive recruitment methods yielded better retention from enrollment to randomization (p<0.05), but produced few families (21 in total). Approximately $91,000 was spent on recruitment, with cost per randomized family at $554.77. Pediatrician referral was the most cost-effective method, $145.95/randomized family, but yielded only 91 randomized families over 22-months of continuous recruitment., Conclusion: Pediatrician referral and targeted mailings, which are active recruitment methods, were the most successful strategies. However, recruitment demanded significant resources. Successful recruitment for pediatric trials should use several strategies., Clinical Trials Registration: NCT00259324, NCT00200265.

This study examined the relation between method of weight loss and long-term maintenance among successful weight losers enrolled in a weight-loss maintenance trial. Participants were 186 adults (mean age = 51.6 +/- 10.7 years, mean BMI = 28.6 +/- 4.7 kg/m(2)) enrolled in the STOP Regain trial who had lost at least 10% of their body weight in the past 2 years using a very low-calorie diet (VLCD; n = 24), commercial program (n = 95), or self-guided approach (n = 67). Participants were randomized to a weight-maintenance intervention delivered face to face or over the internet or to a newsletter control condition, and followed for 18 months. At study entry, individuals who had used a VLCD had achieved a weight loss of 24% of their maximum weight within the past 2 years compared to 17% achieved by those who had used a commercial program or self-guided approach (P < 0.001). However, individuals who had used a VLCD regained significantly more weight than the other two groups and by 6 months, there were no significant differences in overall percent weight loss (i.e., initial weight loss and maintenance) between VLCD, commercial, and self-guided methods. In contrast, individuals who had used a self-guided approach maintained their weight losses from baseline through 18 months. The large initial weight losses achieved by individuals who had used a VLCD were not maintained over time, whereas individuals who had used a self-guided approach maintained their initial weight losses with the greatest success. The generalizability of these findings is limited by the sizeable weight losses achieved by study participants.

This study compared weight control strategies during the winter holidays among successful weight losers (SWL) in the National Weight Control Registry and normal weight individuals (NW) with no history of obesity. SWL (n = 178) had lost a mean of 34.9 kg and had kept > or = 13.6 kg off for a mean of 5.9 years. NW (n = 101) had a body mass index of 18.5-24.9 kg/m(2). More SWL than NW reported plans to be extremely strict in maintaining their usual dietary routine (27.3% vs. 0%) and exercise routine (59.1% vs. 14.3%) over the holidays. Main effects for group indicated that SWL maintained greater exercise, greater attention to weight and eating, greater stimulus control, and greater dietary restraint, both before and during the holidays. A Group x Time interaction indicated that, over the holidays, attention to weight and eating declined significantly more in SW than in NW. More SWL (38.9%) than NW (16.7%) gained > or = 1 kg over the holidays, and this effect persisted 1 month later (28.3% and 10.7%, respectively). SWL worked harder than NW did to manage their weight, but they appeared more vulnerable to weight gain during the holidays., ((c) 2008 APA, all rights reserved)

Several recent studies suggest that daily weighing is important for long-term weight control, but concerns have been raised about possible adverse psychological effects. The "STOP Regain" clinical trial provides a unique opportunity to examine this issue both cross-sectionally and prospectively. Successful weight losers (N = 314) were randomly assigned to a control or to a face-to-face or Internet intervention designed to help them maintain their weight loss and were then followed for 18 months. The intervention groups reported increases in daily self-weighing, which were associated with successful weight loss maintenance. We found no evidence that increases in frequency of weighing or daily weighing per se had any adverse effects in this study population. Rather, increases in self-weighing were associated with increases in dietary restraint (p < .001), decreases in disinhibition (p < .003), and decreases in depressive symptoms (p < .002). Moreover, those who weighed daily at 18 months were less likely to report having >or=4 binge episodes per month (p = .03). Daily weighing appears to be an important aspect of weight loss maintenance and was not associated with adverse psychological effects.

Limiting meal variety decreases hedonic ratings of eaten foods more so than non-eaten foods, demonstrating sensory-specific satiety. Exposure to a food over time decreases the food's hedonic ratings, indicating monotony. The effect of limiting food group variety over time on long-term sensory-specific satiety and monotony is unknown. Thirty overweight adults were randomized to one of two 8-week behavioral weight loss interventions. One condition limited snack food intake to one chosen snack food (reduced variety), while the other limited snack food intake to <1 serving/day (control), with no variety limit. In the reduced variety condition, hedonic ratings of the chosen snack food showed a decrease (p < .05) over time and decreased more (p < .05) than hedonic ratings of other snack foods. Weight loss (-7.4 +/- 5.8 lb) occurred in both conditions. Limiting food group variety over 8 weeks produced long-term sensory-specific satiety and monotony. Future research should examine if limiting food group variety over an extended time affects intake and could be used as a technique in weight loss interventions.

Objective: Parenting style was examined as a predictor of weight loss maintenance in behavioral family-based pediatric obesity treatment., Research Methods and Procedures: Fifty obese children who participated in a behavioral family-based pediatric obesity treatment were studied. Hierarchical regression tested the incremental effect of baseline parenting and parenting during treatment on children's percentage overweight change over 12 months, beyond demographics and adherence to targeted behaviors., Results: Children's percentage overweight significantly decreased at 6 (-16.3) and 12 (-11.1) months. Adherence to program goals significantly increased variance accounted for in the regression model by 10.8%, whereas adding baseline father acceptance and change in father acceptance accounted for another 20.5%. The overall model accounted for 40.6% of the variance in pediatric weight control. ANOVA showed significantly greater percentage overweight decrease from baseline for youth with fathers who increased their acceptance vs. those who decreased acceptance at 6 (-19.8 vs. -14.6) and 12 (-17.4 vs. -8.1) months., Discussion: Youth who perceive an increase in father acceptance after treatment had better changes in percentage overweight over 12 months than youth with lower ratings of father acceptance. Future directions include examining how other parenting dimensions impact pediatric obesity treatment outcome and how parental acceptance can be enhanced to improve child weight control.

Obese children were randomly assigned to a family-based behavioral treatment that included either stimulus control or reinforcement to reduce sedentary behaviors. Significant and equivalent decreases in sedentary behavior and high energy density foods, increases in physical activity and fruits and vegetables, and decreases in standardized body mass index (z-BMI) were observed. Children who substituted active for sedentary behaviors had significantly greater z-BMI changes at 6 (-1.21 vs. -0.76) and 12 (-1.05 vs. -0.51) months, respectively. Substitution of physically active for sedentary behaviors and changes in activity level predicted 6- and 12-month z-BMI changes. Results suggest stimulus control and reinforcing reduced sedentary behaviors are equivalent ways to decrease sedentary behaviors, and behavioral economic relationships in eating and activity may mediate the effects of treatment., (Copyright 2004 American Psychological Association)

Objective: To assess dietary costs during a family-based pediatric obesity intervention., Design: Families were randomized to one of two groups. Dietary and cost data were collected from a parent or child using three 24-hour recalls: at baseline, 6 months, and 12 months., Subjects: Thirty-one families with an obese 8- to 12-year-old child entered treatment, with complete dietary data provided from 20 families., Intervention: The 20-week behavior modification intervention emphasized increasing diet nutrient-density. Families attended group and individual sessions or group sessions., Main Outcome Measures: Energy intake; percent of energy from protein, fat, and carbohydrate; servings and percent servings from food groups classified by nutrient density; and daily food costs., Statistical Analyses Performed: Mixed analyses of variance, with group as the between-subject factor, and time as the within-subject factor., Results: No significant effect of group was found in any analyses. Significant decreases in percent overweight were observed at 6 and 12 months for children (-10.0+/-8.7 and -8.0+/-10.3, respectively) (mean+/-standard deviation) and parents (-6.7+/-10.3 and -5.3+/-14.1). Energy intake for parents and children combined significantly decreased from baseline (1,881+/-462) to 6 months (1,412+/-284), and 1 year (1,338+/-444). Servings from low-nutrient-dense foods significantly decreased from baseline (34.7+/-16.2) to 6 months (16.0+/-8.6) and 1 year (18.6+/-9.2), causing a significant increase in diet nutrient density. Dietary cost did not change at 6 months, but significantly decreased from baseline to 1 year ($6.77+/-2.41 to $5.04+/-1.80). Cost per 1,000 kcal did not significantly change., Applications/conclusions: Adopting a lower-energy, nutrient-dense diet did not increase dietary costs over time. Consequently, cost should not be a barrier in the adoption of a healthful diet.

Objective: Compare parent-reported preschool- and school-aged children's eating and leisure-time activity patterns that are proposed to influence energy balance. Design: Cross-sectional investigation of children, 2 to 12 years, attending a well visit. Setting: Pediatric private practice/ambulatory pediatric clinic. Participants: One hundred seventy-four children: 49% preschool-aged, 54% female, 28% Hispanic, and 34% overweight or at risk for overweight. Variables Measured: Parent-reported eating/leisure-time behaviors. Height/weight from medical records. Analysis: Analyses of covariance/chi-square tests; significance at P less than or equal to 0.05. Results: By parents' report, preschool-aged children consumed more servings/day of low-fat dairy (2.1 +/- 1.6 vs 1.7 +/- 1.5; P less than 0.01), fewer servings/day of sweetened drinks (1.4 +/- 1.9 vs 2.2 +/- 2.6; P less than 0.01) and watched fewer hours/day of weekend TV (2.3 +/- 1. 3 vs 2.7 +/- 1.3; P less than 0.05) than school-aged children. Fewer preschool-aged children consumed salty (14.0% vs 26.1%; P less than 0.05) and sweet (16.3% vs. 29.5%; P less than 0.05) snack food daily, and a greater percentage regularly consumed dinner with a parent (93.0% vs 80.7%; P less than 0.05), as assessed by parent report. Conclusions and Implications: Parent-reported children's eating/leisure-time patterns that may influence energy balance were less healthful in the school-aged children. However, most children did not meet recommendations, irrespective of age or weight. Interventions for meeting recommendations should start with families with preschool-aged children. Future research should focus on identifying factors that might be contributing to increased reporting of problematic food and leisure-time activity patterns in school-aged children. (Contains 3 tables.)

The Eating Disorders In weight-related Therapy (EDIT) Collaboration brings together data from randomised controlled trials of behavioural weight management interventions to identify individual participant risk factors and intervention strategies that contribute to eating disorder risk. We present a protocol for a systematic review and individual participant data (IPD) meta-analysis which aims to identify participants at risk of developing eating disorders, or related symptoms, during or after weight management interventions conducted in adolescents or adults with overweight or obesity. We systematically searched four databases up to March 2022 and clinical trials registries to May 2022 to identify randomised controlled trials of weight management interventions conducted in adolescents or adults with overweight or obesity that measured eating disorder risk at pre- and post-intervention or follow-up. Authors from eligible trials have been invited to share their deidentified IPD. Two IPD meta-analyses will be conducted. The first IPD meta-analysis aims to examine participant level factors associated with a change in eating disorder scores during and following a weight management intervention. To do this we will examine baseline variables that predict change in eating disorder risk within intervention arms. The second IPD meta-analysis aims to assess whether there are participant level factors that predict whether participation in an intervention is more or less likely than no intervention to lead to a change in eating disorder risk. To do this, we will examine if there are differences in predictors of eating disorder risk between intervention and no-treatment control arms. The primary outcome will be a standardised mean difference in global eating disorder score from baseline to immediately post-intervention and at 6- and 12- months follow-up. Identifying participant level risk factors predicting eating disorder risk will inform screening and monitoring protocols to allow early identification and intervention for those at risk.

Background: Exercising at a consistent versus variable time of day cross-sectionally relates to greater moderate to vigorous physical activity (MVPA) among weight loss maintainers. This study evaluated the relationships between exercise timing and both MVPA levels and habit strength, as well as stability in exercise timing, over 1 year among maintainers in the National Weight Control Registry. Methods: Participants (n = 709) completed questionnaires assessing exercise timing, MVPA, and exercise automaticity (a measure of habit) at baseline and 1-year follow-up. At each assessment, participants were labeled temporally consistent exercisers if >50% of their exercise sessions per week occurred in one time window: early morning, late morning, afternoon, or evening. Participants exercising consistently during the same window at both assessments were labeled as having stable patterns. Results: Temporally consistent exercise at baseline, regardless of its specific time, related to greater MVPA over time (Ps<.05). Approximately half of temporally consistent exercisers at baseline exhibited stable patterns. Early morning exercise and greater exercise automaticity at baseline predicted stable patterns (Ps<.005). Temporally consistent exercise, especially during the early morning, related to greater automaticity across time (Ps<.01). Conclusions: Consistent exercise timing may help maintainers accrue more MVPA. Consistent early morning exercise was most strongly related to exercise automaticity and routine stability. [ABSTRACT FROM AUTHOR]

Background: This study examines whether performance of bout-related physical activity (PA) during morning hours is related to greater overall bout-related PA increases within a preoperative PA intervention for bariatric surgery (BS) patients. Methods: Participants with severe obesity (n = 33; mean age = 45.6 ± 9.6 years; BMI = 45.7 ± 7.0 kg/m2) seeking BS were randomized to and completed 6 weeks of preoperative PA counseling (retention = 82.5%). Participants were encouraged to walk daily at a moderate intensity in bouts ≥ 10 minutes during morning hours to overcome time-related obstacles and establish a PA habit. Timing and amount of bout-related moderate-to-vigorous PA (MVPA) was assessed via objective monitor at pre- and postintervention. Results: Greater proportion of bout-related MVPA performed during morning hours (4:00 AM-12:00 PM) at postintervention was associated with larger total increases in bout-related MVPA minutes/day (β = .40, P = .03). At postintervention, a greater proportion of participants whose longest MVPA bouts occurred during morning hours (n = 11) achieved the public health guideline (ie, ≥150 bout-related MVPA minutes/week) versus those whose longest MVPA bouts occurred during nonmorning hours (n = 19; 63.6% vs. 26.3%, P = .04). Conclusions: Intervention-related increases in PA tended to be greatest when PA was performed in the morning. Morning exercise may be a viable strategy for promoting habitual PA in inactive BS patients. [ABSTRACT FROM AUTHOR]

Summary: Background: The optimal role for involving parents in adolescent obesity treatment is unknown. Objective: To demonstrate that two parent approaches within adolescent obesity treatment are distinct, as evidenced by differential parent outcomes, and determine the preliminary efficacy of each approach on adolescent weight loss. Methods: Adolescent/parent dyads (N = 82; mean adolescent age = 13.7 ± 1.2 years) participated in TEENS+, a 4‐month behavioural weight loss treatment. Participants were randomized to: (1) TEENS+parents as coaches (PAC; parent skills training), or (2) TEENS+parent weight loss (PWL; adult behavioural weight loss). Assessments occurred at 0, 4 (post‐treatment), and 7‐months. Within‐ and between‐group repeated measures general linear mixed models examined change in parent weight (∆kg; primary outcome); parenting, feeding, weight control strategies, home environment, and adolescent body mass index (∆BMI; secondary outcomes). Results: PWL parents had greater 4‐month weight losses (∆kg0–4m = −5.14 ± 4.87 kg) compared to PAC (−2.07 ± 3.89 kg; between‐group p < 0.01). Key constructs differed between groups as expected. Both groups yielded significant within‐group adolescent ∆BMI0–4m (PWL: −0.97 ± 1.38 kg/m2 vs. PAC: −0.93 ± 1.42 kg/m2; ps < 0.01); during maintenance, adolescents in PWL had ∆BMI4–7m increases (+0.41 ± 1.07 kg/m2; p = 0.02) while PAC did not (+0.05 ± 1.31 kg/m2; p = 0.82). Conclusion: Parent treatments were distinct in implementation and both yielded significant 4‐month adolescent weight loss. Differential weight patterns were observed during maintenance, favouring PAC, warranting further exploration. [ABSTRACT FROM AUTHOR]

Summary: A multicomponent approach for the treatment of pediatric overweight/obesity, which includes behavioral strategies to alter diet and physical activity/sedentary behavior, has graded recommendations for its use. Dietary interventions to be used within this approach do not. In adults, research indicates that strongly graded dietary interventions providing greater structure (or more control over the types/amount of food consumed) produce better weight outcomes. For this critical review, dietary interventions recommended by the Expert Committee for the treatment of pediatric overweight/obesity were categorized according to their potential degree of dietary structure, and their impact on weight outcomes was described. Four levels of dietary structure were reviewed, operationalized as alterations to the following: food groups, such as fruits and vegetables (low structure); daily eating occasions, such as meals (moderate structure); large nutrients, such as energy (high structure); and energy plus additional dietary alterations (very high structure). In total, 24 interventions (four low, three moderate, five high, and 12 very high structure structure) were identified and reviewed. Reductions in standardized body mass index increased with increasing structure, and interventions ≥6 months had better outcomes than interventions <6 months. Future research should empirically test dietary intervention structure to determine its impact on weight status during pediatric overweight/obesity treatment. [ABSTRACT FROM AUTHOR]

Abstract Background There is a growing problem of physical inactivity in America, and approximately a quarter of the population report being completely sedentary during their leisure time. In the U.S., TV viewing is the most common leisure-time activity. Stepping in place during TV commercials (TV Commercial Stepping) could increase physical activity. The purpose of this study was to examine the feasibility of incorporating physical activity (PA) into a traditionally sedentary activity, by comparing TV Commercial Stepping during 90 min/d of TV programming to traditional exercise (Walking). Methods A randomized controlled pilot study of the impact of 6 months of TV Commercial Stepping versus Walking 30 min/day in adults was conducted. 58 sedentary, overweight (body mass index 33.5 ± 4.8 kg/m2) adults (age 52.0 ± 8.6 y) were randomly assigned to one of two 6-mo behavioral PA programs: 1) TV Commercial Stepping; or 2) Walking 30 min/day. To help facilitate behavior changes participants received 6 monthly phone calls, attended monthly meetings for the first 3 months, and received monthly newsletters for the last 3 months. Using intent-to-treat analysis, changes in daily steps, TV viewing, diet, body weight, waist and hip circumference, and percent fat were compared at baseline, 3, and 6 mo. Data were collected in 2010–2011, and analyzed in 2011. Results Of the 58 subjects, 47 (81%) were retained for follow-up at the completion of the 6-mo program. From baseline to 6-mo, both groups significantly increased their daily steps [4611 ± 1553 steps/d vs. 7605 ± 2471 steps/d (TV Commercial Stepping); 4909 ± 1335 steps/d vs. 7865 ± 1939 steps/d (Walking); P Conclusions Participants in both the TV Commercial Stepping and Walking groups had favorable changes in daily steps, TV viewing, diet, and anthropometrics. PA can be performed while viewing TV commercials and this may be a feasible alternative to traditional approaches for increasing daily steps in overweight and obese adults. Trial Registration This study is registered at ClinicalTrials.gov, NCT01342471

Summary: Background: Migraine and obesity are comorbid particularly in women of reproductive age. Obesity treatment involves reducing energy intake and improving dietary quality but the effect of these changes on migraine is largely unknown. Objective: To determine if adherence to dietary intervention targets (ie, total energy, dietary fat intake, and dietary quality) were associated with improvements in migraine and weight. Methods: Eighty‐four women with overweight/obesity and migraine were randomized to and completed either a 16‐week behavioral weight loss (BWL) or a migraine education (ME) intervention. For 28 days at baseline and posttreatment, women recorded monthly migraine days, duration, and maximum pain intensity via smartphone‐based diary. At each assessment, weight was measured and dietary intake (total energy intake, percent (%) energy from fat, and diet quality, as measured by the Healthy Eating Index, 2010 [HEI‐2010]) was assessed using three nonconsecutive 24‐hour diet recalls. Results: There were no significant group differences in change mean migraine days per month (BWL: ‐2.6+4.0, ME: ‐4.0+4.4; p = 0.1). Participants in BWL significantly reduced their percent fat intake 3.8% (p = 0.004) and improved total diet quality (HEI‐2010) by 6.7 points (p = 0.003) relative to baseline and those in ME (%fat: +0.3%; p = 0.821; HEI‐2010: +0.7; p = 0.725). After controlling for race/ethnicity and weight change, changes in dietary intake were not related to changes in migraine characteristics or weight loss among BWL participants (p's > 0.05). Conclusions: Changes in dietary intake among participants were small and may have been insufficient to improve migraine in women with overweight/obesity and migraine. [ABSTRACT FROM AUTHOR]

Purpose: To determine if a treadmill-workstation (TMWS) increases physical activity (PA) and influences anthropometric, body composition, cardiovascular, and metabolic variables in overweight and obese office-workers. Methods: Twelve (mean age= 46.2 ± 9.2 years) overweight/obese sedentary office-workers (mean BMI= 33.9 ± 5.0 kg∙m-2) volunteered to participate in this 9-month study. After baseline measurements of postural allocation, steps per day, anthropometric variables, body composition, cardiovascular, and metabolic variables, TMWS were installed in the participants’ offices for their use. Baseline measurements were repeated after 3 and 9 months. Comparisons of the outcome variables were made using repeated-measures ANOVAs or nonparametric Friedman's Rank Tests. Results: Between baseline and 9 months, significant increases were seen in the median standing (146-203 min∙day-1) and stepping time (52-90 min∙day-1) and total steps/day (4351-7080 steps/day; P< .05). Correspondingly, the median time spent sitting/lying decreased (1238-1150 min∙day-1). Using the TMWS significantly reduced waist (by 5.5 cm) and hip circumference (by 4.8 cm), low-density lipoproteins (LDL) (by 16 mg∙dL-1), and total cholesterol (by 15 mg∙dL-1) during the study (P < .05). Conclusion: The additional PA energy expenditure from using the TMWS favorably influenced waist and hip circumferences and lipid and metabolic profiles in overweight and obese office-workers. [ABSTRACT FROM AUTHOR]

Background: Reliance on self-reported dietary intake methods is a commonly cited research limitation, and dietary misreporting is a particular problem in children and adolescents. Objective indicators of dietary intake, such as dietary biomarkers, are needed to overcome this research limitation. The added sugar (AS) biomarker δ13C, which measures the relative abundance of 13C to 12C, has demonstrated preliminary validity in adults.Objective: The purpose of this investigation was to determine the comparative validity, test-retest reliability, and sensitivity of the δ13C biomarker to detect AS and sugar-sweetened beverage (SSB) intake using fingerstick blood samples in children and adolescents.Methods: Children (aged 6-11 y, n = 126, 56% male, mean ± SD age: 9 ± 2 y) and adolescents (aged 12-18 y, n = 200, 44% male, mean ± SD age: 15 ± 2 y) completed 4 testing sessions within a 3-wk period. Participants' height, weight, demographic characteristics, and health history were determined at the first session; 24-h recalls were obtained at each visit and fingerstick blood samples were collected at visits 1 and 3. Samples were analyzed for δ13C value using natural abundance stable isotope mass spectrometry. δ13C value was compared with dietary outcomes in the full sample, and in child and adolescent subgroups. t Tests and correlational analyses were used to assess biomarker validity and reliability, whereas logistic regression and area under the receiver-operator characteristic curve (AUC) were used to evaluate sensitivity.Results: Reported mean ± SD AS consumption was 82.2 ± 35.8 g/d and 329 ± 143 kcal/d, and SSB consumption was 222 ± 243 mL/d and 98 ± 103 kcal/d. Mean δ13C value was -19.65 ± 0.69‰, and was lower in children than in adolescents (-19.80 ± 0.67‰ compared with -19.56 ± 0.67‰, P = 0.002). δ13C values were similar across sessions (visit 1: -19.66 ± 0.68‰; visit 3: -19.64 ± 0.68‰; r = 0.99, P < 0.001) and were associated (P < 0.001) with intake of total AS (grams, kilocalories: r = 0.29) and SSB (milliliters, kilocalories: r = 0.35). The biomarker was able to better discriminate between high and low SSB consumers than high and low AS consumers, as demonstrated by the AUC (0.75 and 0.62, respectively).Conclusions: The δ13C biomarker is a promising, minimally invasive, objective biomarker of SSB intake in children and adolescents. Further evaluation using controlled feeding designs is warranted. Registered at clinicaltrials.gov as NCT02455388. [ABSTRACT FROM AUTHOR]