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Pragmatic trials are increasingly used to study the implementation of weight loss interventions in real-world settings. This study compared researcher-measured body weights versus electronic medical record (EMR)-derived body weights from a pragmatic trial conducted in an underserved patient population.The PROPEL trial randomly allocated 18 clinics to usual care (UC) or to an intensive lifestyle intervention (ILI) designed to promote weight loss. Weight was measured by trained technicians at baseline and at 6, 12, 18, and 24 months. A total of 11 clinics (6 UC/5 ILI) with 577 enrolled patients also provided EMR data (n = 561), which included available body weights over the period of the trial.The total number of assessments were 2638 and 2048 for the researcher-measured and EMR-derived body weight values, respectively. The correlation between researcher-measured and EMR-derived body weights was 0.988 (n = 1 939; p 0.0001). The mean difference between the EMR and researcher weights (EMR-researcher) was 0.63 (2.65 SD) kg, and a Bland-Altman graph showed good agreement between the two data collection methods; the upper and lower boundaries of the 95% limits of agreement are -4.65 kg and +5.91 kg, and 71 (3.7%) of the values were outside the limits of agreement. However, at 6 months, percent weight loss in the ILI compared to the UC group was 7.3% using researcher-measured data versus 5.5% using EMR-derived data. At 24 months, the weight loss maintenance was 4.6% using the technician-measured data versus 3.5% using EMR-derived data.At the group level, body weight data derived from researcher assessments and an EMR showed good agreement; however, the weight loss difference between ILI and UC was blunted when using EMR data. This suggests that weight loss studies that rely on EMR data may require larger sample sizes to detect significant effects.ClinicalTrials.gov number NCT02561221.

Objective The aim of this study was to report the results of five weight-loss interventions in primary care settings in underserved patients and to compare the level of pragmatism across the interventions using the Pragmatic Explanatory Continuum Indicator Summary (PRECIS-2) tool. Methods Data from 54 primary care clinics (2,210 patients) were pooled from the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) and Rural Engagement in Primary Care for Optimizing Weight Reduction (REPOWER) cluster-randomized trials. Clinics were randomized to one of five comparators: PROPEL usual care, PROPEL combination of in-clinic and telephone visits, REPOWER in-clinic individual visits, REPOWER in-clinic group visits, or REPOWER telephone group visits. Results At 24 months, weight loss (kilograms) was -0.50 (95% CI: -1.77 to 0.76), -3.05 (-4.10 to -2.01), -4.30 (-5.35 to -3.26), -4.79 (-5.83 to -3.75), and -4.80 (-5.96 to -3.64) in the PROPEL usual care, REPOWER in-clinic individual visits, REPOWER telephone group visits, REPOWER in-clinic group visits, and PROPEL in-clinic and telephone visits arms, respectively. At 24 months, percentage of weight loss was -0.360 (-1.60 to 0.88), -3.00 (-4.02 to -1.98), -4.23 (-5.25 to -3.20), -4.67 (-5.69 to -3.65), and -4.69 (-5.82 to -3.56), respectively, in the five arms. The REPOWER in-clinic individual visits intervention was the most pragmatic and reflects the current Centers for Medicare and Medicaid Services funding model, although this intervention produced the least weight loss. Conclusions Clinically significant weight loss over 6 months in primary care settings is achievable using a variety of lifestyle-based treatment approaches. Longer-term weight-loss maintenance is more difficult to achieve.

Background: Clinical weight loss interventions improve glycemic control in adults with type 2 diabetes (T2D) , but are costly and have limited accessibility. The objective of this trial was to test the efficacy of a diabetes-tailored widely available weight management program (WW, formerly Weight Watchers) on glycemic control in adults with T2D. Methods: This was a prospective 24-week single arm, three-site clinical trial. Participants (n= 136) had T2D, a baseline HbA1c between 7-11%, and a BMI between 27-50 kg/m2. All participants received the 24-wk intervention, which consisted of the WW digital + workshop program tailored for people with T2D, and included weekly virtual workshops and use of the WW App. Assessments occurred at baseline, wk 12 (83.8% retention) , and wk 24 (83.1%) . Primary outcome was change in HbA1c at 24 weeks. Secondary endpoints were changes in body weight and the Diabetes Distress Scale (DDS) . Generalized linear effects models were used for statistical analysis (MAR) and used an intent-to-treat analysis. Results: Participants were 56.8 ± 0.8 y (Mean ± SEM) , 80.2% Female, 62.2% non-Hispanic white. Baseline BMI was 36.2±0.6 kg/m2. Baseline HbA1c, weight, and total DDS score were 7.9±0.1%, 104.3±1.8 kg, and 2.2±0.1, respectively. HbA1c decreased 0.6±0.1% at wk 12 and 0.8±0.1% at wk 24 (both p Conclusions: The widely available WW program, modified for those with T2D, had favorable and clinically meaningful effects on glycemic control, body weight, and diabetes distress at 12 and 24 weeks. Disclosure J.W.Apolzan: Research Support; Mizkan Holdings, LLC , WW International, Inc. T.Bullard: Employee; WW International, Inc. G.D.Foster: Employee; WW International, Inc. M.Cardel: Employee; WW International, Inc. J.G.Larose: Research Support; WW International, Inc. S.D.Anton: None. R.A.Beyl: None. F.L.Greenway: Advisory Panel; General Nutrition Corporation, Jenny Craig, NovMeta Pharma, Nutraceutical Corporation, Pfizer Inc., Plensat, UR Labs, Consultant; Basic Research, Dr. Reddy’s Laboratories Ltd., Energesis, Gedeon Richter, Jazz Pharmaceuticals, Rejuvenate Bio, Other Relationship; Academic Technology Ventures, Inc., Melior Discoveries, Stock/Shareholder; Energesis, Ketogenic Health Systems, NovMeta Pharma, Plensat, Rejuvenate Bio, Slim Health Nutrition, UR Labs. E.P.Wickham: Board Member; American Board on Obesity Medicine, Research Support; National Institutes of Health, WW International, Inc. A.Lanoye: Research Support; WW International, Inc. M.N.Harris: None. A.Kaufman: Employee; WW International. Funding WW International, Inc.

Background We evaluated whether diet quality is a predictor of weight loss and reduced diabetes risk, independent of caloric intake in the Diabetes Prevention Program (DPP) cohort, a randomized clinical trial of adults at risk for diabetes. Methods This secondary analysis included 2914 participants with available data (964 intensive lifestyle (ILS), 977 metformin, 973 placebo). Dietary intake was assessed using a 117-item food frequency questionnaire. Diet quality was quantified using the Alternative Healthy Eating Index 2010 (AHEI). AHEI ranges from 0 to 110, with higher scores corresponding to higher quality diets. ILS participants had greater improvement (p Results An increase in AHEI score was associated with weight loss in ILS [β per 10-point increase (SE) -1.2 kg (0.3, p p p = 0.01)]. However, AHEI change was not associated with incident diabetes in any group before or after adjustment for weight change. Conclusions Controlling for weight, diet quality was not associated with diabetes incidence but helps achieve weight loss, an important factor in diabetes prevention.

Background: To examine the relationship between early physical activity (PA) adoption (2, 3, and 4 mo) and longer-term PA adherence (1 y) among individuals who were inactive at baseline and received a lifestyle intervention. Methods: Participants (n = 637) received weekly behavioral weight loss sessions, calorie reduction, and PA goals (50–175 min/wk progression). PA was assessed via self-reported measures at baseline, months 2 to 4, and 1 year. Results: PA at months 2 to 4 was significantly correlated with PA at 1 year (rs = .29–.35, P P P Conclusions: Failure to achieve PA goals at 2, 3, or 4 months results in less overall PA at 1 year. Thus, PA observed as early as month 2 may be a useful indicator for identifying at-risk individuals who may benefit from more intensive PA intervention strategies.

The aim of this study was to compute intra-class correlations (ICCs) for weight-related and patient-reported outcomes in a cluster randomized clinical trial (cRCT) for weight loss. Baseline and follow-up data from the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) cRCT were used in this analysis. ICCs were computed for baseline and follow-up measures, and changes in body weight, cardiometabolic risk factors and health-related and weight-related quality of life at 6, 12, 18 and 24 months. Baseline ICCs ranged from 0 for PROMIS measures of anxiety and fatigue to 0.055 for total cholesterol (median = 0.019). The ICCs were higher for changes and decreased over time during follow-up. The ICCs for changes were highest in the pooled sample (intervention and usual care combined) followed by the intervention and usual care groups, respectively. The results demonstrated significant ICCs for several outcomes in a weight loss cRCT. The ICCs differed in magnitude depending on whether baseline versus longitudinal data were used, whether data were combined across treatment arms or were considered separately, and varied across the follow-up period. All these factors must be considered when choosing an ICC to inform sample size estimates for future weight loss cRCTs conducted in primary care settings.

BACKGROUND Accurately assessing dietary intake can promote improved nutrition. The PortionSize app (Pennington Biomedical Research Center) was designed to quantify and provide real-time feedback on the intake of energy, food groups, saturated fat, and added sugar. OBJECTIVE This study aimed to assess the preliminary feasibility and validity of estimating food intake via the PortionSize app among adults. METHODS A total of 15 adults (aged 18-65 years) were recruited and trained to quantify the food intake from a simulated meal by using PortionSize. Trained personnel prepared 15 simulated meals and covertly weighed (weigh back) the amount of food provided to participants as well as food waste. Equivalence tests (±25% bounds) were performed to compare PortionSize to the weigh back method. RESULTS Participants were aged a mean of 28 (SD 12) years, and 11 were female. The mean energy intake estimated with PortionSize was 742.9 (SD 328.2) kcal, and that estimated via weigh back was 659.3 (SD 190.7) kcal (energy intake difference: mean 83.5, SD 287.5 kcal). The methods were not equivalent in estimating energy intake (P=.18), and PortionSize overestimated energy intake by 83.5 kcal (12.7%) at the meal level. Estimates of portion sizes (gram weight; P=.01), total sugar (P=.049), fruit servings (P=.01), and dairy servings (P=.047) from PortionSize were equivalent to those estimated via weigh back. PortionSize was not equivalent to weigh back with regard to estimates for carbohydrate (P=.10), fat (P=.32), vegetable (P=.37), grain (P=.31), and protein servings (P=.87). CONCLUSIONS Due to power limitations, the equivalence tests had large equivalence bounds. Though preliminary, the results of this small pilot study warrant the further adaptation, development, and validation of PortionSize as a means to estimate energy intake and provide users with real-time and actionable dietary feedback.

BACKGROUND: Intensive lifestyle interventions (ILIs) stimulate weight loss in underserved patients with obesity, but the mediators of weight change are unknown. OBJECTIVES: We aimed to identify the mediators of weight change during an ILI compared with usual care (UC) in underserved patients with obesity. METHODS: The PROPEL (Promoting Successful Weight Loss in Primary Care in Louisiana) trial randomly assigned 18 clinics (n = 803) to either an ILI or UC for 24 mo. The ILI group received an intensive lifestyle program; the UC group had routine care. Body weight was measured; further, eating behaviors (restraint, disinhibition), dietary intake (percentage fat intake, fruit and vegetable intake), physical activity, and weight- and health-related quality of life constructs were measured through questionnaires. Mediation analyses assessed whether questionnaire variables explained between-group variations in weight change during 2 periods: baseline to month 12 (n = 779) and month 12 to month 24 (n = 767). RESULTS: The ILI induced greater weight loss at month 12 compared with UC (between-group difference: −7.19 kg; 95% CI: −8.43, −6.07 kg). Improvements in disinhibition (−0.33 kg; 95% CI: −0.55, −0.10 kg), percentage fat intake (−0.25 kg; 95% CI: −0.50, −0.01 kg), physical activity (−0.26 kg; 95% CI: −0.41, −0.09 kg), and subjective fatigue (−0.28 kg; 95% CI: −0.46, −0.10 kg) at month 6 during the ILI partially explained this between-group difference. Greater weight loss occurred in the ILI at month 24, yet the ILI group gained 2.24 kg (95% CI: 1.32, 3.26 kg) compared with UC from month 12 to month 24. Change in fruit and vegetable intake (0.13 kg; 95% CI: 0.05, 0.21 kg) partially explained this response, and no variables attenuated the weight regain of the ILI group. CONCLUSIONS: In an underserved sample, weight change induced by an ILI compared with UC was mediated by several psychological and behavioral variables. These findings could help refine weight management regimens in underserved patients with obesity. This trial was registered at clinicaltrials.gov as NCT02561221.

BACKGROUND: Evidence of the effectiveness of treatment for obesity delivered in primary care settings in underserved populations is lacking. METHODS: We conducted a cluster-randomized trial to test the effectiveness of a high-intensity, lifestyle-based program for obesity treatment delivered in primary care clinics in which a high percentage of the patients were from low-income populations. We randomly assigned 18 clinics to provide patients with either an intensive lifestyle intervention, which focused on reduced caloric intake and increased physical activity, or usual care. Patients in the intensive-lifestyle group participated in a high-intensity program delivered by health coaches embedded in the clinics. The program consisted of weekly sessions for the first 6 months, followed by monthly sessions for the remaining 18 months. Patients in the usual-care group received standard care from their primary care team. The primary outcome was the percent change from baseline in body weight at 24 months. RESULTS: All 18 clinics (9 assigned to the intensive program and 9 assigned to usual care) completed 24 months of participation; a median of 40.5 patients were enrolled at each clinic. A total of 803 adults with obesity were enrolled: 452 were assigned to the intensive-lifestyle group, and 351 were assigned to the usual-care group; 67.2% of the patients were Black, and 65.5% had an annual household income of less than $40,000. Of the enrolled patients, 83.4% completed the 24-month trial. The percent weight loss at 24 months was significantly greater in the intensive-lifestyle group (change in body weight, −4.99%; 95% confidence interval [CI], −6.02 to −3.96) than in the usual-care group (−0.48%; 95% CI, −1.57 to 0.61), with a mean between-group difference of −4.51 percentage points (95% CI, −5.93 to −3.10) (P

PURPOSE: Calorie restriction (CR) is an effective treatment for obesity-related liver and metabolic disease. However, CR studies in individuals without obesity are needed to see if CR could delay disease onset. Liver biomarkers indicate hepatic health and are linked to cardiometabolic disease. Our aim was to examine the effects of a two-year CR intervention on liver biomarkers in healthy individuals without obesity. METHODS: The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE) study was a two-year randomized controlled trial. Overall, 218 participants (body mass index: 25.1±1.7 kg/m(2)) were enrolled into control group (n=75) that ate ad libitum (AL) or a CR group (n=143) that aimed to decrease energy intake by 25%. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT), and bilirubin were measured during the trial. RESULTS: At month 24, relative to the AL group, ALP (−7±1 IU/L; P0.99) or AST (2±2 IU/L; P=0.68) were revealed. However, sex-by-treatment-by-time interactions (P

Rating of perceived exertion (RPE) and respiratory exchange ratio (RER) have previously been associated with acute exercise compensation. This study examined adaptations in the RPE and RER with long-term exercise training in individuals who did (noncompensators) and did not (compensators) lose the expected amount of weight. Participants (n = 110, 71.8% women, means ± SD; age 49 ± 12 yr) completed 24 wk of supervised exercise training at 65–85% V̇o(2peak) to achieve a prescribed dose of 8 kcal·kg body wt(−1)·wk(−1) (8 KKW) or 20 KKW. Participants were categorized as noncompensators (n = 55) or compensators (n = 55) based on the percent of expected weight loss (%EWL) achieved. Changes in RPE and RER during exercise over time (baseline, week 12, week 24) were compared by weight compensation category. Individual %EWL in relation to RPE, RER, and training intensity (%V̇o(2peak)) was evaluated over the same time period. RPE and RER for a given workload decreased from baseline to week 12 and stabilized through week 24, regardless of weight compensation (time P < 0.0001). Noncompensators had a higher RPE relative to heart rate, which was partly explained by higher %V̇o(2peak). RPE and %V̇o(2peak) both positively predicted %EWL, independent of age, sex, and exercise dose. Training intensity and RPE were positively associated with weight loss on the individual level, warranting further investigation into self-selection in exercise-based programs. Understanding individual heterogeneity in training intensity and behavioral responses may improve future weight management efforts that involve exercise. NEW & NOTEWORTHY In sedentary individuals with overweight and obesity, achievement of expected weight loss from long-term exercise training was associated with individual adaptations in perceived exertion. Contrary to our hypothesis, those with higher relative perceived exertion achieved a larger proportion of their expected weight loss, which was partly explained by a higher self-selected exercise training intensity.

Background/Objectives: The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy Phase 2 (CALERIE) study showed that individuals who are non-obese were able to undergo significant calorie restriction (CR), yet the time course changes in adherence, weight, and appetite are unknown. This analysis aimed to investigate the time course changes in adherence, body weight, and appetite during the CALERIE study. Subjects/Methods: Overall, 143 participants (body mass index: 21.9–28.0 kg/m2) were randomized to a CR group that aimed to achieve 25% CR for 2 years. Throughout the intervention, body weight was measured, and appetite was assessed through visual analogue scales. Algorithms were utilized with body weight measurements to calculate adherence percentile score. Participants targeted an adherence percentile score of 50, though being between 80 (lowest acceptable adherence) and 10 (highest acceptable adherence) was adequate. Polynomial regression analyses were used to assess time course changes. Results: Polynomials indicated that adherence percentile score increased above 50 after approximately week 20, although adherence remained acceptable (adherence percentile score less than 80) (R2 = 0.89; P < 0.001). Weight loss occurred until approximately week 60 and then plateaued (R2 ≥ 0.92; P < 0.001). Hunger and thirst increased (R2 ≥ 0.30; P < 0.001), but the total increase in scale scores were less than 10 mm throughout the intervention. Conclusions: In individuals who are non-obese, adherence to 25% CR declines after 20 weeks, but two years of CR that stimulates a meaningful reduction in weight, promotes aging-related benefits and negligibly affects appetite is viable.

Objective: This study aimed to determine whether different measures of habitual physical activity (PA) at baseline predict weight change, weight compensation, and changes in energy intake (EI) during a 24-week supervised aerobic exercise intervention. Methods: Data from 108 participants (78 women; 48.7 [SD: 11.6] years; BMI 31.4 [SD: 4.6] kg/m2), randomly assigned to either the moderate-dose exercise group (8 kcal/kg of body weight per week) or the high-dose exercise group (20 kcal/kg of body weight per week) of the Examination of Mechanisms of Exercise-induced Weight Compensation (E-MECHANIC) trial, were analyzed. Moderate-to-vigorous PA (MVPA), steps per day, and PA energy expenditure (PAEE) were measured with SenseWear armbands (BodyMedia, Pittsburgh, Pennsylvania), and total activity energy expenditure and EI were estimated with doubly labeled water, all over 2 weeks, before and toward the end of the intervention. Multiple linear regression models, adjusted for sex, exercise group, and baseline value of the outcome, were used. Results: Baseline habitual MVPA levels predicted weight change (β = −0.275; P = 0.020), weight compensation (β = −0.238; P = 0.043), and change in EI (β = −0.318; P = 0.001). Associations between baseline PAEE and outcomes were comparable, whereas steps per day and, importantly, total activity energy expenditure (via doubly labeled water) did not significantly predict change in weight-related outcomes. Conclusions: While acknowledging substantial variability in the data, on average, lower baseline habitual MVPA and PAEE levels were associated with less weight loss from exercise, higher compensation, and increased EI.

Arginine is an amino-acid supplement and precursor for nitric-oxide synthesis, which affects various biologic processes. The objective of this study was to determine the effects of arginine supplementation on growth hormone (GH) and metabolic parameters.Thirty physically active, healthy men (age 18-39 y; body mass index: 18.5-25 kg/mArginine levels increased at 1.5 h (146%) and 3.0 h (95%; P ≤ 0.001) and GH (193%) and thyroid-stimulating hormone (TSH; 10%) levels at 24 h (P0.05) after arginine versus placebo consumption. Arginine versus placebo increased glucose levels at 1.5 h (5%) and 3.0 h (3%; P ≤ 0.001). Arginine versus placebo did not affect other dependent measures, including mood state (P0.05), but changes in the urea, glutamate, and citric-acid pathways were observed. Among responders, arginine versus placebo increased GH at 1.5 h (37%), glucose at 1.5 h (4%) and 3.0 h (4%), and TSH at 24 h (9%; P0.05). Responders had higher levels of benzoate metabolites at baseline and 1.5 h, and an unknown compound (X-16124) at baseline, 1.5 h, and 24 h that corresponds to a class of gut microbes (P0.05).Arginine supplementation modestly increased GH, glucose, and TSH levels in younger men. Responders had higher benzoate metabolites and an unknown analyte attributed to the gut microbiome. Future studies should examine whether the increased prevalence of these gut microorganisms corresponds with GH response after arginine supplementation.

There is growing concern whether pro-environmental behavioral interventions can generate sufficient reductions in carbon emissions to address climate change. While many have suggested enhanced tailoring of interventions to increase effect sizes, and while individual tailoring is common among health interventions, little is known about how individual tailoring may impact effect sizes for pro-environmental behavioral interventions. Using a novel technology-aided delivery and measurement approach, we conduct a randomized controlled trial featuring an individually tailored intervention focused on reducing the amount of food wasted by participants over approximately one week in their normal living conditions. We find large significant effects for the focal area of food wasted during dining (a 79% reduction), a null effect on food wasted over all household stages (preparation, dining and clean outs), and desirable or null effects for critical antecedent (e.g., waste during preparation, continued purchases of fresh produce), concurrent (e.g., food selection and consumption), and attendant behaviors (e.g., waste from storage clean outs, avoiding waste deposits in landfills).

We conducted an online survey to examine the preference, expected burden, and willingness of people to use four different methods of assessing food and alcohol intake such as food/drink record, 24-h recall, Remote Food Photography Method© (RFPM, via SmartIntake® app), and a novel app (PortionSize®) that allows the in-app portion size estimation of foods/drinks by the user. For food (N = 1959) and alcohol (N = 466) intake assessment, 67.3% and 63.3%, respectively, preferred the RFPM/SmartIntake®, 51.9% and 53.4% preferred PortionSize®, 48.0% and 49.3% the food records, and 32.9% and 33.9% the 24-h recalls (difference in preference across all methods was p &lt, 0.001 for food and alcohol intake). Ratings of burden and preference of methods were virtually superimposable, and we found strong correlations between high preference and low expected burden for all methods (all ρ ≥ 0.82, all p &lt, 0.001). Willingness (mean (SD)) to use the RFPM/SmartIntake® (food: 6.6 (2.0), alcohol: 6.4 (2.4)) was greater than PortionSize® (food: 6.0 (2.2), alcohol: 6.0 (2.4), 0.001) and 24-h recalls (food: 6.1 (2.2), alcohol: 5.7 (2.7), p &lt, 0.001), but not different from food records (food: 6.6 (2.0), alcohol: 6.5 (2.3), all p ≥ 0.33). Our results can be used in conjunction with existing data on the reliability and validity of these methods in order to inform the selection of methods for the assessment of food and alcohol intake.

Introduction: Our primary aim was to investigate the association between initial weight change and longer-term changes in weight and compensation (predicted weight loss–observed weight loss) during exercise. As secondary aims, we investigated if initial weight change was related to change in cardiometabolic risk markers and energy balance modulators. Methods: Two 6-month randomized controlled exercise trials conducted in individuals with overweight or obesity were analyzed (study 1, n = 312; study 2, n = 102). In both studies, participants in an exercise condition (4 kcal·kg−1·wk−1 [KKW], 8 KKW, 12 KKW, or 20 KKW) were split into tertiles based on percent weight change from baseline to week 4. Tertiles 1 and 3 exhibited the least and most initial weight loss, respectively. Changes in end points were compared between tertiles. Results: At month 6, weight loss was lower in tertile 1 than tertile 3 (study 1: −3.6%, 95% confidence interval [CI] = −4.6 to −2.6; study 2: −1.8%, 95% CI = −3.1 to −0.4; P ≤ 0.034). Tertile 1 also showed greater compensation than tertile 3 in study 1 (3.0 kg, 95% CI = 2.2 to 3.9) and study 2 (1.5 kg, 95% CI = 0.3 to 2.6; P ≤ 0.048). Changes in triglycerides and, in study 1, HDL cholesterol were less favorable in tertile 1 versus tertile 3 (P ≤ 0.043); however, changes in other cardiometabolic markers were similar (P ≥ 0.209). In study 2, tertile 1 increased energy intake and exhibited maladaptive changes in eating behaviors relative to tertile 3 (P < 0.050). No between-tertile differences in cumulative exercise energy expenditure and physical activity were evident (P ≥ 0.321). Conclusions: Less initial weight loss was associated with longer-term attenuated weight loss and greater compensation during aerobic exercise training. Individuals who display less initial weight loss during exercise may require early interventions to decrease compensation and facilitate weight loss.

BACKGROUND Exercise is recommended for weight management, yet exercise produces less weight loss than expected, which is called weight compensation. The mechanisms for weight compensation are unclear. OBJECTIVE The aim of this study was to identify the mechanisms responsible for compensation. METHODS In a randomized controlled trial conducted at an academic research center, adults (n = 198) with overweight or obesity were randomized for 24 wk to a no-exercise control group or 1 of 2 supervised exercise groups: 8 kcal/kg of body weight/wk (KKW) or 20 KKW. Outcome assessment occurred at weeks 0 and 24. Energy intake, activity, and resting metabolic rate (RMR) were measured with doubly labeled water (DLW; with and without adjustments for change in RMR), armband accelerometers, and indirect calorimetry, respectively. Appetite and compensatory health beliefs were measured by self-report. RESULTS A per-protocol analysis included 171 participants (72.5% women; mean ± SD baseline body mass index: 31.5 ± 4.7 kg/m2). Significant (P

Objectives To pilot-test a home-based parent training intervention aimed at maintaining body weight among children at risk for obesity (> the 75th body mass index percentile). Methods Sixteen parent–child dyads were randomized to a health education or Developing Relationships that Include Values of Eating and Exercise (DRIVE) intervention arm. The DRIVE curriculum was a structured parenting program to promote healthy weight in children by relying on behavioral principles to promote skill acquisition in the family's natural setting. Body weight and waist circumference were measured at baseline and weeks 9 and 19. Results Body mass index z-score, body weight, and percent body weight increased in children in the health education arm vs DRIVE at weeks 9 and 19. Body weight, percent body weight, and waist circumference decreased in parents in DRIVE vs the health education arm at week 19, whereas no differences were shown at week 9. Conclusions and Implications The DRIVE program mitigated weight gain in a small sample of at-risk children and showed promising results in reducing weight in parents. Home-based interventions emphasizing parent–child interactions are indicated as a practical model to deliver weight management in children.

Background Accurately assessing dietary intake can promote improved nutrition. The PortionSize app (Pennington Biomedical Research Center) was designed to quantify and provide real-time feedback on the intake of energy, food groups, saturated fat, and added sugar. Objective This study aimed to assess the preliminary feasibility and validity of estimating food intake via the PortionSize app among adults. Methods A total of 15 adults (aged 18-65 years) were recruited and trained to quantify the food intake from a simulated meal by using PortionSize. Trained personnel prepared 15 simulated meals and covertly weighed (weigh back) the amount of food provided to participants as well as food waste. Equivalence tests (±25% bounds) were performed to compare PortionSize to the weigh back method. Results Participants were aged a mean of 28 (SD 12) years, and 11 were female. The mean energy intake estimated with PortionSize was 742.9 (SD 328.2) kcal, and that estimated via weigh back was 659.3 (SD 190.7) kcal (energy intake difference: mean 83.5, SD 287.5 kcal). The methods were not equivalent in estimating energy intake (P=.18), and PortionSize overestimated energy intake by 83.5 kcal (12.7%) at the meal level. Estimates of portion sizes (gram weight; P=.01), total sugar (P=.049), fruit servings (P=.01), and dairy servings (P=.047) from PortionSize were equivalent to those estimated via weigh back. PortionSize was not equivalent to weigh back with regard to estimates for carbohydrate (P=.10), fat (P=.32), vegetable (P=.37), grain (P=.31), and protein servings (P=.87). Conclusions Due to power limitations, the equivalence tests had large equivalence bounds. Though preliminary, the results of this small pilot study warrant the further adaptation, development, and validation of PortionSize as a means to estimate energy intake and provide users with real-time and actionable dietary feedback.

The physiological and metabolic effects of experimental overfeeding have been extensively studied, yet only few studies have assessed overfeeding effects on eating behaviors and psychological constructs. We analyzed two 8-week overfeeding studies, the PROOF Study (N = 25; 16 males; 16 African American; 24.1 years; 25.1 kg/m2, inpatient) and the EAT Study (N = 35; 29 males; 20 White; 26.7 years; 25.5 kg/m2, free-living). In both studies, participants were overfed 40% above baseline (daily) energy requirements for eight weeks, consuming all meals under direct supervision. We assessed eating attitudes and behaviors, eating disorder symptoms, and body image via validated questionnaires and visual analog scales at baseline, week (W) 4, and W8, and at two (PROOF: W16-Post, W24-Post) and three (EAT: W12-Post, W20-Post, W32-Post) follow-up visits, respectively. Hunger, desire to eat, and food cravings (carbohydrates, total cravings) decreased during overfeeding in both studies (all Cohen's d effect sizes ≥0.3, all p ≤ .048). Depressive symptoms and fear of fatness increased in both studies (all Cohen's d ≥ 0.4, p ≤ .020), though they were still within normal limits (t-scores ~43–49). Body dissatisfaction increased in both studies during overfeeding (all Cohen's d ≥ 0.4, all p ≤ .044) and remained increased during follow-up (PROOF: W16-Post, Cohen's d = 0.9, p = .004; EAT: W12-Post and W20-Post, all Cohen's d ≥ 0.4, all p ≤ .037). Overfeeding was associated with some deleterious effects, though most returned to baseline during follow-up. However, increases in body dissatisfaction remained up to three months post-overfeeding, highlighting the need to address body image disturbance among people who experience weight gain, even if much of the gained weight is subsequently lost. Trial registration The PROOF Study ( ClinicalTrials.gov Identifier NCT00565149 ); the EAT Study ( ClinicalTrials.gov Identifier NCT01672632 ).

Background: Intensive lifestyle interventions (ILIs) are the first-line approach to effectively treat obesity and manage associated cardiometabolic risk factors. Because few people have access to ILIs in academic health centers, primary care must implement similar approaches for a meaningful effect on obesity and cardiometabolic disease prevalence. To date, however, effective lifestyle-based obesity treatment in primary care is limited. We examined the effectiveness of a pragmatic ILI for weight loss delivered in primary care among a racially diverse, low-income population with obesity for improving cardiometabolic risk factors over 24 months. Methods: The PROPEL trial (Promoting Successful Weight Loss in Primary Care in Louisiana) randomly allocated 18 clinics equally to usual care or an ILI and subsequently enrolled 803 (351 usual care, 452 ILI) adults (67% Black, 84% female) with obesity from participating clinics. The usual care group continued to receive their normal primary care. The ILI group received a 24-month high-intensity lifestyle-based obesity treatment program, embedded in the clinic setting and delivered by health coaches in weekly sessions initially and monthly sessions in months 7 through 24. Results: As recently demonstrated, participants receiving the PROPEL ILI lost significantly more weight over 24 months than those receiving usual care (mean difference, −4.51% [95% CI, −5.93 to −3.10]; P P P =0.76). Increases in high-density lipoprotein cholesterol were greater in the ILI than in the usual care group at both time points (mean difference at 24 months, 4.6 mg/dL [95% CI, 2.9–6.3]; P z score) decreased more in the ILI group than in the usual care group at both time points, with significant mean differences of the change of −0.31 (95% CI, −0.47 to −0.14; P P =0.01) at 24 months, respectively. Changes in total cholesterol, low-density lipoprotein cholesterol, triglycerides, and blood pressure did not differ significantly between groups at any time point. Conclusions: A pragmatic ILI consistent with national guidelines and delivered by trained health coaches in primary care produced clinically relevant improvements in cardiometabolic health in an underserved population over 24 months. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02561221.

Objective To test if sugar sweetened beverages (SSBs) and sugar sweetened solids (SSSs) have differential effects on body weight and reward processing in the brain. Methods In a single blind randomized controlled pilot trial (RCT), twenty participants with BMI between 20 and 40 kg/m2 were randomized to consume a 20 fluid ounce soda (SSB, 248 kcal) or the equivalent in solid form (SSS; similar to thick gelatin or gummy candy) daily. At baseline and day 28, fasting body weight and fed-state BOLD fMRI of the brain were assessed. Differences in fMRI signals between views of low-fat (LF (30%)) food, and non-food images were calculated in brain regions implicated in energy homeostasis, taste, and reward. Results All participants in the SSB (6F 4M; 8 Caucasian; 36±14 y, 28.2±5.5 kg/m2; Mean±SD) and SSS (3F 7M; 6 Caucasian; 39±12; 26.3±4.4) groups completed the study. Weight change was 0.27±0.78 kg between SSB and SSS participants. Changes in the fMRI response to LF/HS foods in reward, homeostatic and taste regions tended to not be different between the groups over the four weeks. However, activation of the right substantia nigra increased following the SSB but decreased activation following the SSS in response to LF/HS foods over 28 days (-0.32±0.12). Ratings of wanting for LF/HS foods were correlated with activation in several brain regions, including the OFC. Conclusions Change in weight was modest between the groups in this study. Daily consumption of a SSB over 28 days led to mixed responses to LF/HS foods in areas of the brain associated with reward. Ratings of wanting are correlated with fMRI activation inside an MRI scanner.

Objective Dietary supplements and alternative therapies are commercialized as a panacea for obesity/weight gain as a result of the minimal regulatory requirements in demonstrating efficacy. These products may indirectly undermine the value of guideline-driven obesity treatments. Included in this study is a systematic review of the literature of purported dietary supplements and alternative therapies for weight loss. Methods A systematic review was conducted to evaluate the efficacy of dietary supplements and alternative therapies for weight loss in participants aged ≥18 years. Searches of Medline (PubMed), Cochrane Library, Web of Science, CINAHL, and Embase (Ovid) were conducted. Risk of bias and results were summarized qualitatively. Results Of the 20,504 citations retrieved in the database search, 1,743 full-text articles were reviewed, 315 of which were randomized controlled trials evaluating the efficacy of 14 purported dietary supplements, therapies, or a combination thereof. Risk of bias and sufficiency of data varied widely. Few studies (n = 52 [16.5%]) were classified as low risk and sufficient to support efficacy. Of these, only 16 (31%) noted significant pre/post intergroup differences in weight (range: 0.3-4.93 kg). Conclusions Dietary supplements and alternative therapies for weight loss have a limited high-quality evidence base of efficacy. Practitioners and patients should be aware of the scientific evidence of claims before recommending use.

BACKGROUND Family-based behavioral therapy is an efficacious approach to deliver weight management counseling to children and their parents. However, most families do not have access to in-person, evidence-based treatment. We previously developed and tested DRIVE (Developing Relationships that Include Values of Eating and Exercise), a home-based parent training program to maintain body weight among children at risk for obesity, with the intent to eventually disseminate it nationally alongside SafeCare, a parent support program that focuses on parent-child interactions. Currently the DRIVE program has only been tested independently of SafeCare. This study created the “mHealth DRIVE” program by further adapting DRIVE to incorporate digital and mobile health tools, including remotely delivered sessions, a wireless scale that enabled a child-tailored weight graph, and a pedometer. Telehealth delivery via mHealth platforms and other digital tools can improve program cost-effectiveness, deliver long-term care, and directly support both families and care providers. OBJECTIVE The objective of this study was to examine preliminary acceptability and effectiveness of the mHealth DRIVE program among children and parents who received it and among SafeCare providers who potentially could deliver it. METHODS Study 1 was a 13-week pilot study of a remotely delivered mHealth family-based weight management program. Satisfaction surveys were administered, and height and weight were measured pre- and post-study. Study 2 was a feasibility/acceptability survey administered to SafeCare providers. RESULTS Parental and child satisfaction (mean of 4.9/6.0 and 3.8/5.0, respectively) were high, and children’s (N=10) BMI z-scores significantly decreased (mean –0.14, SD 0.17; P=.025). Over 90% of SafeCare providers (N=74) indicated that SafeCare families would benefit from learning how to eat healthily and be more active, and 80% of providers reported that they and the families would benefit from digital tools to support child weight management. CONCLUSIONS Pediatric mHealth weight management interventions show promise for effectiveness and acceptability by families and providers. CLINICALTRIAL Clinicaltrials.gov NCT03297541, https://clinicaltrials.gov/ct2/show/NCT03297541.

Background Less than one-third of women gain an appropriate amount of weight during pregnancy, which can influence the long-term health of both the mother and the child. Economically disadvantaged women are the most vulnerable to maternal obesity, excessive weight gain during pregnancy, and poor birth outcomes. Effective and scalable health care strategies to promote healthy weight gain during pregnancy specifically tailored for these women are lacking. Objective This paper presents the design and protocol of a biphasic, community-based eHealth trial, SmartMoms in WIC, to increase the adherence to healthy gestational weight gain (GWG) recommendations in low-income mothers receiving women, infant, and children (WIC) benefits. Methods Phase 1 of the trial included using feedback from WIC mothers and staff and participants from 2 community peer advisory groups to adapt an existing eHealth gestational weight management intervention to meet the needs of women receiving WIC benefits. The health curriculum, the format of delivery, and incentive strategies were adapted to be culturally relevant and at an appropriate level of health literacy. Phase 2 included a pragmatic randomized controlled trial across the 9 health care regions in Louisiana with the goal of enrolling 432 women. The SmartMoms in WIC intervention is an intensive 24-week behavioral intervention, which includes nutrition education and exercise strategies, and provides the technology to assist with weight management, delivered through a professionally produced website application. Results Phase 1 of this trial was completed in July 2019, and recruitment for phase 2 began immediately thereafter. All data are anticipated to be collected by Spring 2023. Conclusions The SmartMoms in WIC curriculum was methodically developed using feedback from community-based peer advisory groups to create a culturally relevant, mobile behavioral intervention for mothers receiving WIC benefits. The randomized clinical trial is underway to test the effectiveness of a sustainable eHealth program on the incidence rates of appropriate GWG. SmartMoms in WIC may be able to offer an innovative, cost-effective, and scalable solution for GWG management in women served by WIC. Trial Registration ClinicalTrials.gov NCT04028843; https://clinicaltrials.gov/ct2/show/NCT04028843 International Registered Report Identifier (IRRID) DERR1-10.2196/18211

Food waste reduction is an explicit goal for many countries, yet a paucity of highquality primary measurements of food waste are available to inform policy. We analyze repeated physical measurements of discarded food from more than 37,000 households enrolled in the China Health and Nutrition Survey (CHNS) from 1991 to 2009 and describe relevant food waste patterns and trends within households over a period of dramatic change. Over a period in which average real household incomes tripled, food discarded per person declined by about 20% on a quantity basis and by about 40% on a Calorie basis during the study, with an estimated annual per capita household waste of 14.9 kg in 2009. Comparing across households within narrower periods of the data, we find changing associations between income and food waste, with a weakly negative association during the 1990s and a significant positive association during the 2000s. Carbohydrates, particularly grains and vegetables and fruits, experienced the greatest reduction in waste. Food waste reduction rates over the study period were greatest among small households and rural households. Certain characteristics were associated with higher per person waste levels throughout the study period, including rural residence, intense physical activity levels, and a lack of home refrigeration.

OBJECTIVES: Assess the effects of the amino acid arginine on growth hormone (GH), other metabolites, and mood. Arginine is reported to increase GH, but the mechanism is not known. It was hypothesized prolactin mediated this effect since it is similar in structure to GH and, like GH, is secreted by the pituitary gland. METHODS: Thirty physically active healthy young males (18–39 y; 18.5–25 kg/m(2)) were enrolled in a randomized, double-blind, placebo-controlled, crossover trial. Two days prior and 1 day following each treatment a standardized diet was provided that maintained arginine at 3–5 g/d. Arginine or placebo treatments in the form of a beverage were consumed after an overnight fast. Treatment conditions were separated by at least a one week washout period. The beverages contained either 10 g of arginine or 0 g (placebo). Blood was collected at baseline and 1.5, 3.0, and 24 hr post treatment. Plasma GH, prolactin, amino acids, glucose, insulin, triacylglycerols, thyroid hormones, sex hormone binding globulin (SHBG), testosterone, cortisol, and dehydroepiandrosterone (DHEA) were assessed. The Profile of Mood States (POMS) was administered at the same time as blood draws. Repeated measures ANOVAs were used to estimate treatment effects at each time point. RESULTS: Arginine increased plasma arginine at 1.5, 3.0, and 24 hr (P ≤ 0.001) and GH at 24 hr (P ˂ 0.05) but not other time points. Arginine increased glucose and insulin at the 1.5 and 3.0 hr (P ˂ 0.05) but not 24 hr. Arginine did not affect any other dependent measure (P > 0.05) including prolactin. When only individuals with detectable levels of GH (responders; n = 16) were analyzed separately, arginine increased GH at the 1.5 (P ˂ 0.05) but not the 3.0 or 24 hr time points. Among the responders, arginine also increased thyroid stimulating hormone (TSH) at the 24 hr time point (P ˂ 0.05) but not the 1.5 and 3.0 hr time points. CONCLUSIONS: Arginine supplementation modestly increased growth hormone. Despite their similar structures, prolactin secretion was not elevated following arginine supplementation, thus another mechanism is responsible for growth hormone secretion. FUNDING SOURCES: DoD and NIH P30DK072476. Views expressed are those of the authors and do not reflect official policy of the Army, DoD, or US Government.

The FoodImage™ smartphone app transmits to researchers users' photographs of food selection and food waste, and includes user-tagged information about waste reasons and destination. Twenty-four participants were trained to record food waste using FoodImage, food waste diaries requiring visual estimation of waste quantities, and diaries requiring scale weights. Participants used each method during three staged food-waste scenarios (food preparation, eating, and clean-out) in a randomized crossover trial. Two participants had extreme values for the weighed diary method; therefore, accuracy results are reported with and without these two participants' data. Error was calculated as waste estimated with the experimental method minus directly weighed waste. Mean absolute error from FoodImage was significantly smaller than or equal to the error from both diary methods in each scenario. Furthermore, the mean values from FoodImage were equivalent to directly weighed values in two out of the three tasks; while weighed diaries were equivalent in two tasks only when the two participants with extreme values were removed. Visually estimated diaries were equivalent for only one task. All 24 participants preferred FoodImage to diaries and all rated FoodImage as less time consuming. Over one week, FoodImage would require ~24 fewer minutes of users' time to record all data. Unlike food waste diaries, FoodImage also transmits data to researchers in real-time and provides detailed data on food selection and intake. ClinicalTrials.gov Identifier: NCT03309306.

BACKGROUND Less than one-third of women gain an appropriate amount of weight during pregnancy, which can influence the long-term health of both the mother and the child. Economically disadvantaged women are the most vulnerable to maternal obesity, excessive weight gain during pregnancy, and poor birth outcomes. Effective and scalable health care strategies to promote healthy weight gain during pregnancy specifically tailored for these women are lacking. OBJECTIVE This paper presents the design and protocol of a biphasic, community-based eHealth trial, SmartMoms in WIC, to increase the adherence to healthy gestational weight gain (GWG) recommendations in low-income mothers receiving women, infant, and children (WIC) benefits. METHODS Phase 1 of the trial included using feedback from WIC mothers and staff and participants from 2 community peer advisory groups to adapt an existing eHealth gestational weight management intervention to meet the needs of women receiving WIC benefits. The health curriculum, the format of delivery, and incentive strategies were adapted to be culturally relevant and at an appropriate level of health literacy. Phase 2 included a pragmatic randomized controlled trial across the 9 health care regions in Louisiana with the goal of enrolling 432 women. The SmartMoms in WIC intervention is an intensive 24-week behavioral intervention, which includes nutrition education and exercise strategies, and provides the technology to assist with weight management, delivered through a professionally produced website application. RESULTS Phase 1 of this trial was completed in July 2019, and recruitment for phase 2 began immediately thereafter. All data are anticipated to be collected by Spring 2023. CONCLUSIONS The SmartMoms in WIC curriculum was methodically developed using feedback from community-based peer advisory groups to create a culturally relevant, mobile behavioral intervention for mothers receiving WIC benefits. The randomized clinical trial is underway to test the effectiveness of a sustainable eHealth program on the incidence rates of appropriate GWG. SmartMoms in WIC may be able to offer an innovative, cost-effective, and scalable solution for GWG management in women served by WIC. CLINICALTRIAL ClinicalTrials.gov NCT04028843; https://clinicaltrials.gov/ct2/show/NCT04028843 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/18211

Many campaigns promote the preservation and consumption of leftover food items as a critical household strategy to accomplish national consumer food waste reduction goals. We fill a gap in knowledge about the consumption and creation of leftovers in the United States by analyzing data from a pilot study in which 18 subjects tracked food selection, intake, and plate waste across all eating occasions for about one week. Subjects noted which items selected for consumption were leftovers, i.e., previously prepared but uneaten items that were stored for future consumption, and which unfinished items were saved to become leftovers. We found that 12% of items selected for consumption were leftovers while 24% of selected items that were not fully consumed were kept to become a leftover. Leftovers were most frequently vegetables, cheeses, and meats, and most frequently selected on Mondays and for lunch. Regression analyses isolate significant dining patterns with respect to leftovers, including evidence that leftovers were less likely to be fully consumed than non-leftover items, and that larger meals led to more uneaten food. This suggests that strategies to reduce meal size may be most effective in reducing food waste by limiting the creation of leftovers in the first place. Strategies to make leftovers more attractive and appealing may also reduce food waste.

Background: Decreasing selection and consumption of sodium and added sugars in the school cafeteria setting is important to provide optimal nutrition to children. Objective: To determine if Louisiana (LA) Health, a school-based obesity prevention intervention, could successfully reduce children’s selection and consumption of sodium and added sugars during school lunches vs. the control group. Design: Food selection, consumption, and plate waste from student lunches (3 consecutive days) in 33 public schools in rural Louisiana were collected and analyzed using the digital photography of foods method at baseline and after a 28-month obesity prevention intervention (LA Health) beginning in 4th-6th grade (87% of children received free or reduced cost lunch). Selection and consumption of energy, added sugar, and sodium was objectively measured using digital photography of foods. Mixed models, including Race and BMI, were used to determine if change in selection and consumption differed by group. Results: Sodium decreased for selection (−233.1±89.4 mg/lunch, p=0.04) and consumption (−206.3±65.9, mg/lunch) in the intervention (vs. control) by month 18, and in consumption by month 28 (−153.5±66.9 mg/lunch, p=0.03). Change in added sugar consumption decreased in the intervention (vs. control) at month 18 (−3.7±1.6, p=0.05) and at month 28 (−3.5±1.6 tsp/lunch, p=0.05). Conclusions: LA Health decreased the amount of added sugar and sodium selected and consumed, but not plate waste, by month 28. Results highlight the importance of long-term interventions and policies targeting provision and selection to improve dietary patterns in children, with less focus on plate waste. Trial Registration: clinicaltrials.gov NCT00289315 https://clinicaltrials.gov/ct2/show/NCT00289315?term=LA+Health&rank=1

Underserved and minority populations suffer from a disproportionately high prevalence of obesity and related comorbidities. Effective obesity treatment programs delivered in primary care that produce significant weight loss are currently lacking. The purpose of this trial is to test the effectiveness of a pragmatic, high intensity lifestyle-based obesity treatment program delivered within primary care among an underserved population. We hypothesize that, relative to patients who receive usual care, patients who receive a high-intensity, health literacy- and culturally-appropriate lifestyle intervention will have greater percent reductions in body weight over 24 months. Eighteen clinics (N = 803 patients) serving low income populations with a high proportion of African Americans in Louisiana were randomized to the intervention or usual car. Patients in the intervention participate in a high-intensity lifestyle program delivered by health coaches employed by an academic health center and embedded in the primary care clinics. The program consists of weekly (16 in-person/6 telephone) sessions in the first six months, followed by sessions held at least monthly for the remaining 18 months. Primary care practitioners in usual care receive information on weight management and the current Centers for Medicare and Medicaid Services reimbursement for obesity treatment. The primary outcome is percent weight loss at 24 months. Secondary outcomes include absolute 24-month changes in body weight, waist circumference, blood pressure, fasting glucose and lipids, health-related quality of life, and weight-related quality of life. The results will provide evidence on the effectiveness of implementing high-intensity lifestyle and obesity counseling in primary care settings among underserved populations. Trial Registration: ClinicalTrials.gov Identifier NCT02561221

Objective— Measures of HDL (high-density lipoprotein) function are associated with cardiovascular disease. However, the effects of regular exercise on these measures is largely unknown. Thus, we examined the effects of different doses of exercise on 3 measures of HDL function in 2 randomized clinical exercise trials. Approach and Results— Radiolabeled and boron dipyrromethene difluoride–labeled cholesterol efflux capacity and HDL-apoA-I (apolipoprotein A-I) exchange were assessed before and after 6 months of exercise training in 2 cohorts: STRRIDE-PD (Studies of Targeted Risk Reduction Interventions through Defined Exercise, in individuals with Pre-Diabetes; n=106) and E-MECHANIC (Examination of Mechanisms of exercise-induced weight compensation; n=90). STRRIDE-PD participants completed 1 of 4 exercise interventions differing in amount and intensity. E-MECHANIC participants were randomized into 1 of 2 exercise groups (8 or 20 kcal/kg per week) or a control group. HDL-C significantly increased in the high-amount/vigorous-intensity group (3±5 mg/dL; P =0.02) of STRRIDE-PD, whereas no changes in HDL-C were observed in E-MECHANIC. In STRRIDE-PD, global radiolabeled efflux capacity significantly increased 6.2% (SEM, 0.06) in the high-amount/vigorous-intensity group compared with all other STRRIDE-PD groups (range, −2.4 to −8.4%; SEM, 0.06). In E-MECHANIC, non-ABCA1 (ATP-binding cassette transporter A1) radiolabeled efflux significantly increased 5.7% (95% CI, 1.2–10.2%) in the 20 kcal/kg per week group compared with the control group, with no change in the 8 kcal/kg per week group (2.6%; 95% CI, −1.4 to 6.7%). This association was attenuated when adjusting for change in HDL-C. Exercise training did not affect BODIPY-labeled cholesterol efflux capacity or HDL-apoA-I exchange in either study. Conclusions— Regular prolonged vigorous exercise improves some but not all measures of HDL function. Future studies are warranted to investigate whether the effects of exercise on cardiovascular disease are mediated in part by improving HDL function. Clinical Trial Registration— URL: https://www.clinicaltrials.gov . Unique identifiers: NCT00962962 and NCT01264406.

The validity of using the Remote Food Photography Method (RFPM) for measuring food intake of minority preschool children's intake is not well documented.Our aim was to determine the validity of intake estimations made by human raters using the RFPM compared with those obtained by weighing all foods and beverages consumed by 3- to 5-year-old children (weighed method).We conducted a cross-sectional observational study.A convenience sample of 54 3- to 5-year-old Hispanic and African-American children were observed during a 12-hour period at Baylor Metabolic Research Unit between June 2013 and January 2014.All foods/beverages consumed by the children were provided by Baylor research coordinators who took and wirelessly transmitted before-and-after pictures of the trays to trained human raters at the Pennington Biomedical Research Center who estimated grams consumed. Energy and macronutrients were calculated using the Food and Nutrient Database for Dietary Studies or food facts data provided by manufacturers.Paired t test, mean differences, and Bland-Altman limits of agreement were performed.Compared to the weighed method, the rater method significantly overestimated total intake by 34±71 g (P0.0001), with a mean percent error of 2.9% (root mean square error=7.1%), and total energy intake by 75±102 kcal (P0.0001), with a mean percent error of 7.5% (root mean square error=12.3%). The standard error for the macronutrient intakes ranged from 11.0% to 20.2%. The Bland-Altman approach demonstrated a positive slope for the rater method relative to the weighed method for total intake in grams (P=0.006), carbohydrate (P=0.01), and protein (P=0.01) (ie, magnitude of the bias increased with increasing intakes).The rater method overestimated total intake in grams and energy in kilocalories in minority preschool children in a well-controlled condition and needs to be further tested in a free-living environment.

Background Foods that increase obesity risk are ubiquitous in the US food environment. Such foods may be the target of hedonic eating, which may facilitate weight gain and lead to obesity. The study tested whether meal composition during an ad libitum buffet meal was associated with 1-year weight and percent body fat changes among healthy younger adults without obesity. Hyper-palatable foods (HPF) were the study focus; comparisons were conducted with high energy dense (HED) and ultra-processed foods (UPF). Design Younger adults without obesity (N = 82; 43% male; mean age 26.8) completed an ad libitum buffet meal and provided body composition measurements at baseline and 1-year follow up. Multiple regression models tested associations between the proportion of the target food consumed (HPF, HED, or UPF) during the ad libitum meal and 1) weight change and 2) percent body fat change. The proportion of HPF was characterized by HPF group, specifically carbohydrate and sodium (CSOD) foods or fat and sodium (FSOD) foods. Results Participants who consumed a greater proportion of CSOD HPF in their ad libitum buffet meals had significantly greater weight change (b = 0.354, p = .003) and percent body fat change (b = 0.247, p = .036) at 1-year follow up. In contrast, no significant associations were found between the proportion of FSOD HPF, HED, or UPF consumed and anthropometric outcomes (p values = .099-.938). Conclusions Eating a greater proportion of hyper-palatable CSOD foods ad libitum appears to be a pattern of hedonic eating, which may increase an individual's risk for weight and body fat gain in early adulthood.

OBJECTIVES: Persons with food insecurity (FI) have been shown to have lower fruit and vegetable (F/V) intake and higher fat intake compared to individuals with food security (FS). However, currently there are limited data as to whether diet can be improved during weight loss interventions in persons with FI. METHODS: Patients with obesity (BMI 30 - 50 kg/m(2)) were recruited into the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) trial, which randomized 18 clinics to either an intensive lifestyle intervention (ILI) or usual care (UC). At baseline, FI was determined by the 6-Item Food Security Survey. At baseline and Month (M) 6, 12, and 24, F/V intake was determined by a brief screener and fat intake was determined by the % Energy from Fat Screener. The outcomes were analyzed by repeated-measures linear mixed-effects multilevel models, which included random cluster (clinic) effects and were stratified by FI. In addition to group, time, and their interaction, the models included age, sex, race, education, income, health literacy, and marital status as covariates. RESULTS: A total of 803 patients were recruited, and 30.8% reported FI. About 84% were female, 67.2% black, 26.1% received Medicaid, and 65.5% made less than $40,000. At baseline, patients with FI reported lower F/V intake than patients with FS (2.04 ± 0.11 vs. 2.32 ± 0.07 servings/day [d]; mean ± SEM), but no differences in fat intake were seen (35.30 ± 0.41 vs. 35.34 ± 0.27%). In patients with FI, the ILI only improved F/V intake compared to UC at M 24 (0.70 ± 0.28 servings/d). In patients with FS, F/V intake was improved in the ILI vs. UC groups at M 6 (0.55 ± 0.16), 12 (0.39 ± 0.16), and 24 (0.39 ± 0.17 servings/d). Fat intake was not improved in ILI patients with FI, but patients with FS decreased fat intake at all time points compared to UC (M6 −2.79 ± 0.91, M12 −2.51 ± 0.92, and M24 −2.55 ± 0.92%, respectively). CONCLUSIONS: On average, patients with FI in the ILI improved F/V intake, but the high variability (i.e., heterogeneity) in this nutritional outcome prevented significant differences between the ILI and UC groups. Patients with FI failed to decrease fat intake in response to a weight loss intervention. For persons with FI to achieve greater weight loss, targeting nutritional outcomes may be an important consideration. FUNDING SOURCES: PCORI OB-1402–10,977, NIH U54 GM104940 and P30 DK072476.

Objective The aim of this study was to determine the validity of energy intake (EI) estimations made using the remote food photography method (RFPM) compared to the doubly labeled water (DLW) method in minority preschool children in a free-living environment. Methods Seven days of food intake and spot urine samples excluding first void collections for DLW analysis were obtained on thirty-nine 3- to 5-year-old Hispanic and African American children. Using an iPhone, caregivers captured before and after pictures of each child's intake, pictures were wirelessly transmitted to trained raters who estimated portion size using existing visual estimation procedures, and energy and macronutrients were calculated. Paired t tests, mean differences, and Bland-Altman limits of agreement were performed. Results The mean EI was 1,191 ± 256 kcal/d using the RFPM and 1,412 ± 220 kcal/d using the DLW method, resulting in a mean underestimate of 222 kcal/d (−15.6%; P

Objective Food cravings are thought to be the result of conditioning or pairing hunger with consumption of certain foods. Methods In a 2-year weight loss trial, subjects were randomized to one of four diets that varied in macronutrient content. The Food Craving Inventory (FCI) was used to measure cravings at baseline and at 6 and 24 months. Food intake was also measured at those time points. To measure free-living consumption of food items measured in the FCI, items on the FCI were matched to the foods consumed from the food intake assessments. Secondarily, the amount of food consumed on food intake assessments from foods on the FCI was analyzed. Results Three hundred and sixty-seven subjects with overweight and obesity were included. There was an association between change from baseline FCI item consumption and change in cravings at months 6 (P

African Americans (AAs) have a higher obesity risk than Whites, however, it is unclear if appetite-related hormones and food intake are implicated. We examined differences in appetite-related hormones, appetite, and food intake between AAs (n = 53) and Whites (n = 111) with overweight or obesity. Participants were randomized into a control group or into supervised, controlled exercise groups at 8 kcal/kg of body weight/week (KKW) or 20 KKW. Participants consumed lunch and dinner at baseline and follow-up, with appetite and hormones measured before and after meals (except leptin). At baseline, AAs had lower peptide YY (PYY, p &lt, 0.01) and a blunted elevation in PYY after lunch (p = 0.01), as well as lower ghrelin (p = 0.02) and higher leptin (p &lt, 0.01) compared to Whites. Despite desire to eat being lower and satisfaction being higher in AAs relative to Whites (p &le, 0.03), no racial differences in food intake were observed. Compared to Whites, leptin increased in the 8 KKW group in AAs (p = 0.01), yet no other race-by-group interactions were evident. Differences in appetite-related hormones between AAs and Whites exist, however, their influence on racial disparities in appetite, food intake, and obesity within this trial was limited.

PURPOSE: Heart rate recovery (HRR) after exercise is an independent risk factor for cardiovascular disease and mortality. Regular aerobic exercise can improve HRR, yet little is known regarding the dose necessary to promote increases. The aim was to assess the impact of different doses of vigorous-intensity aerobic exercise on HRR in individuals with overweight/obesity. METHODS: Data from 137 sedentary adults with overweight/obesity from E-MECHANIC were analyzed. Participants were randomized to either a moderate-dose exercise group (8 kcal/kg body weight/week; KKW), a high-dose exercise group (20 KKW), or a non-exercise control group. HRR was defined as the difference between peak heart rate (HR) during a graded exercise test and the HR after exactly 1 minute of active recovery at 1.5 mph and level grade. RESULTS: Change in HRR did not differ significantly by exercise group; therefore, the data from both exercise groups were combined. The combined exercise group showed an improvement in HRR of 2.7 bpm (95% CI 0.1, 5.4; p=0.04) compared to the control group. Those participants who lost more weight during the intervention (non-compensators) increased HRR by 6.2 bpm (95% CI 2.8, 9.5; p