Design and rationale for evaluating the impact of salad bars on elementary school students' fruit, vegetable, and energy intake: a wait list control, cluster randomized controlled trial.

BACKGROUND: Most children do not consume the recommended amount of fruit and vegetable (FV) servings. Changing the school food environment can be a cost-efficient, effective approach to improving children's dietary quality. There is great popular support for school salad bars as a means to increase children's FV intake within the National School Lunch Program (NSLP), yet empirical research is limited. Further, although FV consumption can facilitate healthy weight management if these foods replace high calorie items, there is a need to enhance understanding of salad bars' influence on children's diet quality and energy intake within the NSLP. This is particularly important to investigate in schools in communities characterized by high poverty, as students they serve are particularly likely to rely on school meals. METHODS: This report describes the design and rationale of a federally-funded investigation that uses validated methods to evaluate school salad bars. This district plans to install salad bars into 141 elementary schools over 5-years, facilitating the conduct of a waitlist control, cluster randomized controlled trial. Specifically, 12 pairs of matched schools will be randomly selected: half receiving a salad bar (Intervention) and half serving pre-portioned FVs only, standard under the NSLP (Control). Thus, groups will have different FV presentation methods; however, all schools will operate under a policy requiring students to take at least one FV serving. Schools will be matched on Title I status and percent of racial/ethnic minoritized students. Intake will be objectively assessed at lunch in each school pair, prior to (baseline), and 4-6 weeks after salad bars are installed (post), yielding ~ 14,160 lunch observations throughout the study duration. Cafeteria sales and NSLP participation data will be obtained to determine how salad bars impact revenues. Finally, implementation factors and cafeteria personnel's perspectives will be assessed, to identify barriers and facilitators to salad bars use and inform sustainability efforts. Proposed methods and current status of this investigation due to COVID-19 are described. DISCUSSION: Results will have great potential to inform school nutrition policies and programs designed to improve dietary quality and reduce obesity. TRIAL REGISTRATION: Retrospectively registered (10/28/22) in clinicaltrials.gov (NCT05605483).

Protocol for the Mason: Health Starts Here prospective cohort study of young adult college students.

BACKGROUND: Young adulthood is a period of increasing independence for the 40% of young adults enrolled in U.S. colleges. Previous research indicates differences in how students' health behaviors develop and vary by gender, race, ethnicity, and socioeconomic status. George Mason University is a state institution that enrolls a highly diverse student population, making it an ideal setting to launch a longitudinal cohort study using multiple research methods to evaluate the effects of health behaviors on physical and psychological functioning, especially during the COVID-19 pandemic. RESULTS: Mason: Health Starts Here was developed as a longitudinal cohort study of successive waves of first year students that aims to improve understanding of the natural history and determinants of young adults' physical health, mental health, and their role in college completion. The study recruits first year students who are 18 to 24 years old and able to read and understand English. All incoming first year students are recruited through various methods to participate in a longitudinal cohort for 4 years. Data collection occurs in fall and spring semesters, with online surveys conducted in both semesters and in-person clinic visits conducted in the fall. Students receive physical examinations during clinic visits and provide biospecimens (blood and saliva). CONCLUSIONS: The study will produce new knowledge to help understand the development of health-related behaviors during young adulthood. A long-term goal of the cohort study is to support the design of effective, low-cost interventions to encourage young adults' consistent performance of healthful behaviors, improve their mental health, and improve academic performance.

Perfluoroalkyl substances and changes in bone mineral density: A prospective analysis in the POUNDS-LOST study.

BACKGROUND: Recent studies suggested an inverse association between exposures to perfluoroalkyl substances (PFASs) and bone mineral density (BMD). Whether exposures to PFASs are also associated with changes in BMD has not been examined. METHODS: Five major PFASs (perfluorooctanesulfonic acid, PFOS; perfluorooctanoic acid, PFOA; perfluorohexanesulfonic acid, PFHxS; perfluorononanoic acid, PFNA; perfluorodecanoic acid, PFDA) and BMD (g/cm2) at six bone sites (spine, total hip, femoral neck, hip intertrochanteric area, hip trochanter, and hip Ward's triangle area) were measured at baseline among 294 participants in the POUNDS-LOST study, a weight-loss trial, of whom a total of 175 participants had BMD measured at both baseline and year 2. Linear regression was used to model the differences or changes in BMD for each SD increment of PFAS concentrations. In a secondary analysis, interactions between PFASs and baseline body mass index (BMI), as well as a BMI-related genetic risk score (GRS) derived from 97 BMI-predicting SNPs were examined in relation to changes in BMD. RESULTS: At baseline, both PFOS and PFOA were significantly associated with lower BMD at several sites. For each SD increase of PFOS, the ßs (95% CIs) for BMD were -0.020(-0.037, -0.003) for spine, -0.013(-0.026, 0.001) for total hip, -0.014(-0.028, 0.000) for femoral neck, and -0.013(-0.026, 0.000) for hip trochanter. For PFOA, the corresponding figures were -0.021(-0.038, -0.004) for spine, -0.015(-0.029, -0.001) for total hip, and -0.015(-0.029, -0.002) for femoral neck. After adjusting for baseline covariates and 2-year weight change, higher baseline plasma concentrations of PFOS, PFNA, and PFDA were associated with greater reduction in BMD in the hip; the ßs (95% CIs) were -0.005(-0.009, -0.001), -0.006(-0.010, -0.001), and -0.005(-0.009, -0.001), respectively. Similar associations were found in hip intertrochanteric area for all PFASs except PFHxS, with ßs ranging from -0.006 for PFOA to -0.008 for PFOS and PFNA. Participants with a higher GRS tended to have less PFAS-related BMD decline in total hip (Pinteraction = 0.005) and the hip intertrochanteric area (Pinteraction = 0.021). There were similar PFAS-related BMD changes by baseline BMI levels, although the interactions did not achieve statistical significance. CONCLUSIONS: This study demonstrated that higher plasma PFAS concentrations were not only associated with a lower BMD at baseline, but also a faster BMD loss in a weight-loss trial setting. Genetic predisposition to larger body size may somewhat attenuate the deleterious effects of PFASs on BMD. Further exploration of the possible impact of PFAS exposures on bone density is warranted.

Effects of weight gain induced by controlled overfeeding on physical activity.

It is unclear whether physical activity changes following long-term overfeeding and in response to different dietary protein intakes. Twenty-five (16 males, 9 females) healthy adults (18-35 yr) with BMI ranging from 19 to 30 kg/m(2) enrolled in this inpatient study. In a parallel group design, participants were fed 140% of energy needs, with 5, 15, or 25% of energy from protein, for 56 days. Participants wore an RT3 accelerometer for at least 59 days throughout baseline and during overfeeding and completed 24-h whole room metabolic chamber assessments at baseline and on days 1, 14, and 56 of overfeeding and on day 57, when the baseline energy intake was consumed, to measure percent of time active and spontaneous physical activity (SPA; kcal/day). Changes in activity were also assessed by doubly labeled water (DLW). From accelerometry, vector magnitude (VM), a weight-independent measure of activity, and activity energy expenditure (AEE) increased with weight gain during overfeeding. AEE remained increased after adjusting for changes in body composition. Activity-related energy expenditure (AREE) from DLW and percent activity and SPA in the metabolic chamber increased with overfeeding, but SPA was no longer significant after adjusting for change in body composition. Change in VM and AEE were positively correlated with weight gain; however, change in activity was not affected by protein intake. Overfeeding produces an increase in physical activity and in energy expended in physical activity after adjusting for changes in body composition, suggesting that increased activity in response to weight gain might be one mechanism to support adaptive thermogenesis.

Interaction between dietary fat and exercise on excess postexercise oxygen consumption.

The objective of this study was to determine the effect of increased physical activity on subsequent sleeping energy expenditure (SEE) measured in a whole room calorimeter under differing levels of dietary fat. We hypothesized that increased physical activity would increase SEE. Six healthy young men participated in a randomized, single-blind, crossover study. Subjects repeated an 8-day protocol under four conditions separated by at least 7 days. During each condition, subjects consumed an isoenergetic diet consisting of 37% fat, 15% protein, and 48% carbohydrate for the first 4 days, and for the following 4 days SEE and energy balance were measured in a respiration chamber. The first chamber day served as a baseline measurement, and for the remaining 3 days diet and activity were randomly assigned as high-fat/exercise, high-fat/sedentary, low-fat/exercise, or low-fat/sedentary. Energy balance was not different between conditions. When the dietary fat was increased to 50%, SEE increased by 7.4% during exercise (P < 0.05) relative to being sedentary (baseline day), but SEE did not increase with exercise when fat was lowered to 20%. SEE did not change when dietary fat was manipulated under sedentary conditions. Physical activity causes an increase in SEE when dietary fat is high (50%) but not when dietary fat is low (20%). Dietary fat content influences the impact of postexercise-induced increases in SEE. This finding may help explain the conflicting data regarding the effect of exercise on energy expenditure.

Dietary Supplement Use in Transmasculine People: Results of an Online Survey of Volunteer Adults.

INTRODUCTION: Health inequities and disparities in nutrition research exist among transmasculine people. A dearth of evidence on dietary supplement use and motivations exist, partially due to constrained collection of sex and gender identity in national surveys. OBJECTIVE: We sought to investigate common motivations and use of dietary supplements in a voluntary survey of transmasculine people. METHODS: A total of 48 participants completed an online survey detailing dietary supplement use, motivations, and demographic information. RESULTS: 64.5 and 90.0% of participants reported use of 1+ dietary supplement within the past 30-days and during some point in their lifetime, respectively. Top reported product types used included multivitamins (52%), melatonin (52%), vitamin D (46%), vitamin C (35%), fish oil (33%), B-vitamins or B-complex (31%), iron (29%), green tea (29%), biotin (25%), cranberry (23%), zinc (23%), protein powder (23%), probiotics (23%), and calcium (21%). There was no relationship between the number of supplements reported and participant age, BMI, income, or mastectomy status (p > 0.05). Participants reported top motivations being for "improving my overall health" (60.4%), "maintaining health" (54.2%), to "supplement my diet due to not getting enough from food"(41.7%), "mental health" (39.6%), and to "prevent colds, boost immune system" (33.3%). CONCLUSION: Transmasculine people in our study reported a high use of dietary supplements. Differences in the types of products and number of products used, as well as specific motivations for use likely exist within this subpopulation, however, future nationally-representative longitudinal studies are needed to fully elucidate these patterns and for informing evidence-based nutrition guidance.

School Nutrition Personnel Perceptions of School Salad Bars before and after COVID-19.

Many schools have salad bars as a means to increase students' fruit and vegetable intake. School nutrition programs experienced drastic changes to the school food environment due to COVID-19. The aim of the current study was to understand cafeteria personnel's experiences related to salad bar implementation before the COVID-19 pandemic and in the current school environment to inform efforts to enhance salad bar sustainability. Seven elementary schools (N = 30 personnel) installed salad bars prior to COVID-19; three of these schools (n = 13 personnel) re-opened salad bars after COVID-19. Cafeteria personnel completed surveys assessing their experiences with salad bars at both time points. Satisfaction with salad bar implementation and training was high pre- and post-COVID-19. Most agreed that salad bars increased students' fruit and vegetable intake, yet had concerns about cleanliness and waste. Perceived job difficulty increased post-COVID-19 (p = 0.01), and satisfaction with student salad bar training decreased (p = 0.001). Additional staff support and greater student training were needed post-COVID-19. Overall, salad bars were viewed favorably; however, more challenges and lower satisfaction were reported following COVID-19. Increasing support for cafeteria personnel is needed for salad bar sustainability and improving the school food environment.

Food sources of energy and nutrients among US college students: The Health Starts Here cohort study.

Objective: Identifying the food sources contributing most to total energy percentage, macronutrients, vitamin and mineral consumption among college freshmen, and whether sex played a role. Participants: First-year undergraduate students (N = 269). Methods: Diet was assessed using a DHQ-III and estimated with food source composition tables. Nutrient intakes were expressed as a percentage of total dietary intakes for each food category. Mann-Whitney U tests were used to determine the differences between the two sexes for each food category. Results: A significant proportion of energy and nutrients is contributed by certain food categories, such as grain products, meat, poultry, fish; however, other less desirable sources of energy and nutrient are also identified, including sugary and sports drinks. Among female students, a greater portion of nutritional intakes came from healthier choices. Conclusions: A majority of total energy intake comes from food categories that are energy-dense but also provide essential nutrients.

Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates.

BACKGROUND: The possible advantage for weight loss of a diet that emphasizes protein, fat, or carbohydrates has not been established, and there are few studies that extend beyond 1 year. METHODS: We randomly assigned 811 overweight adults to one of four diets; the targeted percentages of energy derived from fat, protein, and carbohydrates in the four diets were 20, 15, and 65%; 20, 25, and 55%; 40, 15, and 45%; and 40, 25, and 35%. The diets consisted of similar foods and met guidelines for cardiovascular health. The participants were offered group and individual instructional sessions for 2 years. The primary outcome was the change in body weight after 2 years in two-by-two factorial comparisons of low fat versus high fat and average protein versus high protein and in the comparison of highest and lowest carbohydrate content. RESULTS: At 6 months, participants assigned to each diet had lost an average of 6 kg, which represented 7% of their initial weight; they began to regain weight after 12 months. By 2 years, weight loss remained similar in those who were assigned to a diet with 15% protein and those assigned to a diet with 25% protein (3.0 and 3.6 kg, respectively); in those assigned to a diet with 20% fat and those assigned to a diet with 40% fat (3.3 kg for both groups); and in those assigned to a diet with 65% carbohydrates and those assigned to a diet with 35% carbohydrates (2.9 and 3.4 kg, respectively) (P>0.20 for all comparisons). Among the 80% of participants who completed the trial, the average weight loss was 4 kg; 14 to 15% of the participants had a reduction of at least 10% of their initial body weight. Satiety, hunger, satisfaction with the diet, and attendance at group sessions were similar for all diets; attendance was strongly associated with weight loss (0.2 kg per session attended). The diets improved lipid-related risk factors and fasting insulin levels. CONCLUSIONS: Reduced-calorie diets result in clinically meaningful weight loss regardless of which macronutrients they emphasize. (ClinicalTrials.gov number, NCT00072995.)

Effect of dietary protein content on weight gain, energy expenditure, and body composition during overeating: a randomized controlled trial.

CONTEXT: The role of diet composition in response to overeating and energy dissipation in humans is unclear. OBJECTIVE: To evaluate the effects of overconsumption of low, normal, and high protein diets on weight gain, energy expenditure, and body composition. DESIGN, SETTING, AND PARTICIPANTS: A single-blind, randomized controlled trial of 25 US healthy, weight-stable male and female volunteers, aged 18 to 35 years with a body mass index between 19 and 30. The first participant was admitted to the inpatient metabolic unit in June 2005 and the last in October 2007. INTERVENTION: After consuming a weight-stabilizing diet for 13 to 25 days, participants were randomized to diets containing 5% of energy from protein (low protein), 15% (normal protein), or 25% (high protein), which they were overfed during the last 8 weeks of their 10- to 12-week stay in the inpatient metabolic unit. Compared with energy intake during the weight stabilization period, the protein diets provided approximately 40% more energy intake, which corresponds to 954 kcal/d (95% CI, 884-1022 kcal/d). MAIN OUTCOME MEASURES: Body composition was measured by dual-energy x-ray absorptiometry biweekly, resting energy expenditure was measured weekly by ventilated hood, and total energy expenditure by doubly labeled water prior to the overeating and weight stabilization periods and at weeks 7 to 8. RESULTS: Overeating produced significantly less weight gain in the low protein diet group (3.16 kg; 95% CI, 1.88-4.44 kg) compared with the normal protein diet group (6.05 kg; 95% CI, 4.84-7.26 kg) or the high protein diet group (6.51 kg; 95% CI, 5.23-7.79 kg) (P = .002). Body fat increased similarly in all 3 protein diet groups and represented 50% to more than 90% of the excess stored calories. Resting energy expenditure, total energy expenditure, and body protein did not increase during overfeeding with the low protein diet. In contrast, resting energy expenditure (normal protein diet: 160 kcal/d [95% CI, 102-218 kcal/d]; high protein diet: 227 kcal/d [95% CI, 165-289 kcal/d]) and body protein (lean body mass) (normal protein diet: 2.87 kg [95% CI, 2.11-3.62 kg]; high protein diet: 3.18 kg [95% CI, 2.37-3.98 kg]) increased significantly with the normal and high protein diets. CONCLUSIONS: Among persons living in a controlled setting, calories alone account for the increase in fat; protein affected energy expenditure and storage of lean body mass, but not body fat storage. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00565149.

Loneliness is associated with unhealthful dietary behaviors and physical inactivity among US college students.

Objective: To evaluate dietary and physical activity behavior in relation to loneliness among college students. Participants: Three-hundred forty-six incoming first-year students in Fall 2019 at a large state University in the US. Methods: Students completed online surveys in Fall 2019. Multivariable regression analyses were used to model associations of health behaviors with loneliness, adjusting for gender and body mass index (BMI). Results: Two-hundred sixty-four students were included in this analysis. Students in loneliness score ranges of 4-6 and 7-9 have higher fat diet than students in score range of 10-12 (p = .007). Sedentary (19.2%) and low active (53.8%) behaviors were more frequent in students reporting high loneliness than those reporting low loneliness (13.8%, 36.7%, respectively) (p = .006). Conclusions: In this sample of college students, loneliness was related to altered diet quality and physical inactivity. Interventions to reduce loneliness may have a positive effect on health promotion in this population.

Why don't college freshmen meet the US dietary guidelines for added sugar, refined grains, sodium, and saturated fat?

OBJECTIVE: The objective of the study was to evaluate how well college students meet U.S. dietary guidelines by examining the mean intakes of nutrients to limit (sodium, sugar, refined grains, and saturated fat), and what factors lead to exceeding the dietary recommendations. PARTICIPANTS: Participants were first-year undergraduate students (N = 269). METHODS: Diet was assessed using a DHQ-III and estimated with food source composition tables. Multivariable logistic regression analysis was used to model variables associated with exceeding the recommendations. One-sample t-tests were performed to compare the cohort with national intakes. RESULTS: One-third met added sugar guidelines; only 4% met daily refined grains requirements, Fewer than half met saturated fat guidelines, and slightly over half met recommended sodium guidelines. Level of physical activity, race/ethnicity, and living on campus were the important predictors for exceeding recommended intakes. CONCLUSIONS: Most students do not adhere to the U.S. dietary guidelines for nutrients to limit.

Dietary Intake and Representativeness of a Diverse College-Attending Population Compared with an Age-Matched US Population.

Young adults typically gain more dietary autonomy as they start college, though this can also present nutritional challenges; however, research on the generalizability of their dietary intake data is scarce. To address this representativeness concern, we compared food and nutrient intakes reported by college freshmen attending a large, diverse university to an age-matched sample from the National Health and Nutrition Examination Survey (NHANES). We studied 269 students 18-24 years old recruited through the Mason: Health Start Here (HSH) study, a population-based cohort study of college students. Diet was assessed using a diet history questionnaire (DHQ-III) and estimated with food source composition tables. The NHANES sample of 835 adults was the reference dataset. Reported dietary intakes were weighted and compared with national intakes via t-tests. We observed comparable energy, carbohydrate, fat, and protein intakes in both groups; however, the HSH cohort reported a higher density intake of most micronutrients than the NHANES sample. Differences between these samples in intake, mode of dietary assessment administration, and reactivity may help explain the differences detected. These results demonstrate that when appropriately contextualized in terms of methodology and potential sources of bias, single college studies can be useful for understanding nutrition in young adults more broadly.

Effect of Overeating Dietary Protein at Different Levels on Circulating Lipids and Liver Lipid: The PROOF Study.

BACKGROUND: During overeating, a low protein diet slowed the rate of weight gain and increased the energy cost of the added weight, suggesting that low protein diets reduced energy efficiency. The Protein Overfeeding (PROOF) study explored the metabolic changes to low and high protein diets, and this sub-study examined the changes in body composition and blood lipids when eating high and low protein diets during overeating. METHODS: Twenty-three healthy volunteers (M = 14; F = 9) participated in an 8-week, parallel arm study where they were overfed by ~40% with diets containing 5% (LPD = low protein diet), 15% (NPD = normal protein diet), or 25% (HPD = high protein diet) protein. Dual energy X-ray absorptiometry (DXA) and computer tomography (CT) were used to quantify whole body and abdominal fat and intrahepatic lipid, respectively. Metabolites were measured by standard methods. RESULTS: Protein intake and fat intake were inversely related since carbohydrate intake was fixed. Although overeating the LPD diet was associated with a significant increase in high density lipoprotein (HDL)-cholesterol (p < 0.001) and free fatty acids (p = 0.034), and a significant decrease in fat free mass (p < 0.0001) and liver density (p = 0.038), statistical models showed that dietary protein was the main contributor to changes in fat free mass (p = 0.0040), whereas dietary fat was the major predictor of changes in HDL-cholesterol (p = 0.014), free fatty acids (p = 0.0016), and liver fat (p = 0.0007). CONCLUSIONS: During 8 weeks of overeating, the level of dietary protein intake was positively related to the change in fat free mass, but not to the change in HDL-cholesterol, free fatty acids, and liver fat which were, in contrast, related to the intake of dietary fat.

Family history of diabetes links impaired substrate switching and reduced mitochondrial content in skeletal muscle.

Insulin resistance is associated with metabolic inflexibility, impaired switching of substrate oxidation from fatty acids to glucose in response to insulin. Impaired switching to fat oxidation in response to a high-fat diet (HFD) is hypothesized to contribute to insulin resistance. The objective of this study was to test the hypothesis that defects in substrate switching in response to insulin and a HFD are linked to reduced mitochondrial biogenesis and occur before the development of diabetes. Metabolic flexibility was measured in young sedentary men with (n = 16) or without (n = 34) a family history of diabetes by euglycemic-hyperinsulinemic clamp. Flexibility correlated with fat oxidation measured in a respiratory chamber after a 3-day HFD. Muscle mitochondrial content was higher in flexible subjects with high fat oxidation after a HFD and contributed 49% of the variance. Subjects with a family history of diabetes were inflexible and had reduced HFD-induced fat oxidation and muscle mitochondrial content but did not differ in the amount of body or visceral fat. Metabolic inflexibility, lower adaptation to a HFD, and reduced muscle mitochondrial mass cluster together in subjects with a family history of diabetes, supporting the role of an intrinsic metabolic defect of skeletal muscle in the pathogenesis of insulin resistance.

Dynamic changes in fat oxidation in human primary myocytes mirror metabolic characteristics of the donor.

Metabolic flexibility of skeletal muscle, that is, the preference for fat oxidation (FOx) during fasting and for carbohydrate oxidation in response to insulin, is decreased during insulin resistance. The aim of this study was to test the hypothesis that the capacity of myotubes to oxidize fat in vitro reflects the donor's metabolic characteristics. Insulin sensitivity (IS) and metabolic flexibility of 16 healthy, young male subjects was determined by euglycemic hyperinsulinemic clamp. Muscle samples were obtained from vastus lateralis, cultured, and differentiated into myotubes. In human myotubes in vitro, we measured suppressibility (glucose suppression of FOx) and adaptability (an increase in FOx in the presence of high palmitate concentration). We termed these dynamic changes in FOx metabolic switching. In vivo, metabolic flexibility was positively correlated with IS and maximal oxygen uptake and inversely correlated with percent body fat. In vitro suppressibility was inversely correlated with IS and metabolic flexibility and positively correlated with body fat and fasting FFA levels. Adaptability was negatively associated with percent body fat and fasting insulin and positively correlated with IS and metabolic flexibility. The interindividual variability in metabolic phenotypes was preserved in human myotubes separated from their neuroendocrine environment, which supports the hypothesis that metabolic switching is an intrinsic property of skeletal muscle.

Plasma Amino Acids During 8 Weeks of Overfeeding: Relation to Diet Body Composition and Fat Cell Size in the PROOF Study.

OBJECTIVE: Different amounts of dietary protein during overfeeding produced similar fat gain but different amounts of gain in fat-free body mass. Protein and energy intake may have differential effects on amino acids during overfeeding. METHODS: Twenty-three healthy adult men and women were overfed by 40% for 8 weeks with 5%, 15%, or 25% protein diets. Plasma amino acids were measured by gas chromatography and mass spectrometry at baseline and week 8. Body composition was measured by dual-energy x-ray absorptiometry, fat cell size (FCS) from subcutaneous fat biopsies, and insulin resistance by euglycemic-hyperinsulinemic clamp. RESULTS: The following three amino acid patterns were seen: increasing concentration of five essential and three nonessential amino acids with increasing protein intake, higher levels of six nonessential amino acids with the low-protein diet, and a pattern that was flat or "V" shaped. Dietary fat and protein were both correlated with changes in valine, leucine/isoleucine/norleucine, phenylalanine, and tyrosine, but energy intake was not. The change in fat mass and weight was related to the change in several amino acids. Baseline FCS and the interaction between glucose disposal and FCS were associated with changes in several amino acids during overfeeding. CONCLUSIONS: Overfeeding dietary protein affects the levels of both essential and nonessential amino acids.

Plasma fatty acyl-carnitines during 8 weeks of overfeeding: relation to diet energy expenditure and body composition: the PROOF study.

OBJECTIVE: Overfeeding is a strategy for evaluating the effects of excess energy intake. In this secondary analysis we tested the possibility that different levels of dietary protein might differentially modify the response of fatty acyl-carnitines to overfeeding. METHODS: Twenty-three healthy adult men and women were overfed by 40% for 8 weeks while in-patients with diets containing 5% (LPD), 15% (NPD) or 25% (HPD) protein. Plasma fatty acyl-carnitines were measured by gas chromatography/mass spectrometry (GC/MS) at baseline and after 8 weeks of overfeeding. Measurements included: body composition by DXA, energy expenditure by ventilated hood and doubly-labeled water, fat cell size from subcutaneous fat biopsies, and fat distribution by CT scan. RESULTS: Analysis was done on 5 groups of fatty acyl-carnitines identified by principal components analysis and 6 individual short-chain fatty acyl carnitines. Higher protein intake was associated with significantly lower 8 week levels of medium chain fatty acids and C2, C4-OH and C 6:1, but higher values of C3 and C5:1 acyl-carnitines derived from essential amino acids. In contrast energy and fat intake were only weakly related to changes in fatty acyl-carnitines. A decease or smaller rise in 8 week medium chain acyl-carnitines was associated with an increase in sleeping energy expenditure (P = 0.0004), and fat free mass (P < 0.0001) and a decrease in free fatty acid concentrations (FFA) (P = 0.0067). In contrast changes in short-chain fatty acyl-carnitines were related to changes in resting energy expenditure (P = 0.0026), and fat free mass (P = 0.0007), and C4-OH was positively related to FFA (P = 0006). CONCLUSION: Protein intake was the major factor influencing changes in fatty acyl carnitines during overfeeding with higher values of most acyl-fatty acids on the low protein diet. The association of dietary protein and fat intake may explain the changes in energy expenditure and metabolic variables resulting in the observed patterns of fatty acyl carnitines.

Lack of an effect of a novel beta3-adrenoceptor agonist, TAK-677, on energy metabolism in obese individuals: a double-blind, placebo-controlled randomized study.

OBJECTIVE: Our objective was to test the safety and metabolic effects of a novel beta(3)-adrenoreceptor agonist (TAK-677) in humans. DESIGN, SETTING, AND PARTICIPANTS: Sixty-five obese (body mass index = 33.9 +/- 2.1 kg/m2, mean +/- se) men and women (31.4 +/- 0.9 yr) participated in a double-blind placebo-controlled study at an institutional research center. INTERVENTION: Participants were randomized to 0.1 mg TAK-677 twice daily (BID) (n = 21), 0.5 mg TAK-677 BID (n = 22), or placebo BID (n = 22) for 29 d. OUTCOMES: Drug safety, 24-h respiratory quotient (RQ), 24-h energy expenditure (EE), body composition, fat distribution, and fasting plasma concentration of substrates and hormones were assessed. An acute-response study was also conducted. RESULTS: The drug was well tolerated by all participants; however, heart rate was elevated (9 +/- 2 beats per minute) with the 0.5-mg BID dose. After 28 d of treatment and when compared with placebo, there was no change in 24-h RQ with either 0.1-mg BID (P = 0.1) or 0.5-mg BID (P = 1.0) doses of TAK-677. However, TAK, 0.5 mg BID, resulted in a small increase in 24-h EE that was significantly different from placebo [change from baseline, 13 +/- 17 (0.5 mg BID) vs.-39 +/- 18 (placebo) kcal/d, P < 0.05]. Changes in weight, fat-free mass, and abdominal fat depots (visceral or sc) were not different between the three groups, nor were changes in fasting insulin, free fatty acid, or glucose concentrations. CONCLUSION: TAK-677 has no effect on 24-h RQ or fat oxidation but does slightly increase 24-h EE at the highest dose (0.5 mg BID). The acute studies showed large interindividual variability in plasma concentrations of TAK-677 indicating some possible problems with bioavailability and therefore efficacy.

Validation study of energy expenditure and intake during calorie restriction using doubly labeled water and changes in body composition.

BACKGROUND: Clinical trials involving calorie restriction (CR) require an assessment of adherence to a prescribed CR with the use of an objective measure of energy intake (EI). OBJECTIVE: The objective was to validate the use of energy expenditure (EE) measured by doubly labeled water (DLW), in conjunction with precise measures of body composition, to calculate an individual's EI during 30% CR. DESIGN: Ten participants underwent 30% CR for 3 wk. During the last week (7 d), 24-h EE was measured in a respiratory chamber and simultaneously by DLW (EEDLW). EI was calculated from 7-d EE measured by DLW and from changes in energy stores (ES) (weight and body composition). Calculated EI was then compared with the actual EI measured in the chamber by using the following equations: calculated EI (kcal/d) = EEDLW + DeltaES, where DeltaESFM/FFM (kcal/d) = (9.3 x DeltaFM, g/d) + (1.1 x DeltaFFM, g/d), FM is fat mass, and FFM is fat-free mass. RESULTS: We found close agreement (R = 0.88) between EE measured in the metabolic chamber and EEDLW during CR. Using the measured respiratory quotient, we found that the mean (+/-SD) EE(DLW) was 1934 +/- 377 kcal/d and EE measured in the metabolic chamber was 1906 +/- 327 kcal/d, ie, a 1.3 +/- 8.9% overestimation. EI calculated from EEDLW and from changes in ES was 8.7 +/- 36.7% higher than the actual EI provided during the chamber stay (1596 +/- 656 kcal/d). CONCLUSIONS: DLW methods can accurately estimate 24-h EE during CR. Although the mean difference between actual and calculated EIs for the group was small, we conclude that the interindividual variability was too large to provide an assessment of CR adherence on an individual basis.