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We examined the impact of a 24 hour complete fast (vs. fed state) on two measures of food reward: 1) 'wanting', as measured by response to food images and by the relative-reinforcing value of food (RRV), and 2) 'liking', as measured by response to food images and the hedonic evaluation of foods consumed. Utilizing a randomized crossover design, 15 subjects (9 male; 6 female) aged 28.6±4.5 yrs with body mass index 25.3±1.4 kg/m(2) were randomized and counterbalanced to normal feeding (FED) and 24-hour fast (FASTED) conditions. Trait characteristics were measured with the Three Factor Eating Questionnaire. Two computer tasks measured food reward: 1) RRV progressive ratio task, 2) explicit 'liking' and 'wanting' (Leeds Food Preference Questionnaire, LFPQ). Also measured were ad libitum energy intake (EI; buffet) and food 'liking' (visual analogue scale) of personalized stimuli. There were no significant anthropometric changes between conditions. Appetite scores, hedonic ratings of 'liking', and ad libitum EI all significantly increased under the FASTED condition (p<0.05). Under the FASTED condition there were significant increases in the RRV of snack foods; similarly, explicit 'wanting' and 'liking' significantly increased for all food categories. 'Liking' of sweet foods remained high across-meals under FASTED, but savory foods decreased in hedonic saliency. Relative to a fed state, we observed an increase in hedonic ratings of food, the rewarding value of food, and food intake after a 24 hr fast. Alliesthesia to food and food cues is suggested by heightened hedonic ratings under the FASTED condition relative to FED.

Purpose Roux-en-Y gastric bypass (RYGB) surgery produces significant weight loss. However, a number of patients experience weight regain years after surgery. Factors driving weight regain after surgical interventions are currently being explored. Our objective was to investigate appetite-related measures associated with weight regain after RYGB surgery. Materials and Methods Using a cross-sectional design, 29 participants (49.6 ± 9.1 years of age; current BMI 32.4 ± 4.7 kg/m 2 , 43.6 ± 8.9 months post-RYGB) were stratified into tertiles according to weight regain per month after nadir (weight maintenance (WM), n  = 9; low weight regain (LWR), n  = 10; and high weight regain (HWR), n  = 10). The average weight regain was, by design, significantly different between the groups (WM = 2.2 ± 2.5 kg; LWR = 10.0 ± 3.4 kg; HWR = 14.9 ± 6.3 kg regained, p  < 0.05). Appetite (visual analog scales), olfactory performance (“sniffin sticks”), eating behaviors (Three Factor Eating Questionnaire), food reward (Leeds Food Preference Questionnaire), and appetite-related hormones (ghrelin, PYY, GLP-1 and leptin) were measured fasting and in response to a standardized test meal. Results Dietary restraint was significantly higher than clinical cutoffs in WM and LWR ( p  < 0.05). As expected, significant time effects were noted for ghrelin, PYY, and GLP-1, but there were no group differences. Conclusion The results suggest that appetite-related outcomes are similar across individuals who have maintained weight loss and experienced regain following RYGB. Graphical abstract

To assess the associations among eating behaviour traits, food label use and diet quality and to evaluate if the association between eating behaviour traits and diet quality is mediated by food label use. Eating behaviour traits were assessed using the Three-Factor Eating Questionnaire (TFEQ), the Restraint Scale and the Intuitive Eating Scale, whereas food label use was measured with the Label Reading Survey. Diet quality (Canadian Healthy Eating Index) was assessed with an FFQ. Cross-sectional study. Adults (n 385; mean (sd): BMI = 26·0 (4·9) kg/m2, age = 41·1 (15·0) years) involved in two previous experimental studies. When controlling for potential covariates, general food label use (β = 1·18 (se 0·26), P < 0·0001) was the main determinant of diet quality, explaining 6·7 % of its variance. General food label use partly mediated the association between TFEQ-cognitive restraint and diet quality; the indirect effect (βindirect (se); 95 % CI) was stronger in men (0·32 (0·10); 0·15, 0·55) than women (0·16 (0·05); 0·08, 0·27). General food label use also partly mediated the negative association between unconditional permission to eat and diet quality; the indirect effect (βindirect (se); 95 % CI) was also stronger in men (-1·88 (0·55); -3·11, -0·96) than women (-1·03 (0·33); -1·81, -0·49). General food label use was the main determinant of diet quality and partly mediated the association between eating behaviour traits and diet quality. The stronger mediating effect observed in men suggests they rely more on food labelling when attempting to restrained themselves, which translates into better diet quality.

In mice, osteocalcin (OCN) acts as a bone-derived hormone promoting insulin sensitivity and glucose tolerance. In that species, OCN endocrine action is inhibited when its first glutamic acid residue (Glu13) is γ-carboxylated (Gla). The importance of this posttranslational modification for OCN function in human is still unclear. Our objectives were to identify an assay to assess γ-carboxylation of human OCN on its first Glu residue (Glu17) and to test its association with insulin resistance and inflammation profile in overweight women. Several ELISAs were tested to determine their specificity toward various forms of human OCN. Associations between OCN γ-carboxylation and determinants of glucose tolerance, insulin sensitivity, liver function and subclinical inflammation were then investigated in 129 non-diabetic overweight and obese postmenopausal women. We identified assays allowing the measurement of total OCN (tOCN) and the ratio of Gla17/tOCN. Circulating Gla17/tOCN levels correlated negatively with insulin sensitivity assessed by hyperinsulinemic-euglyceamic clamp (P=0.02) or insulin sensitivity index derived from oral glucose tolerance test (P=0.00003), and positively with insulin resistance assessed by HOMA-IR (P=0.0005) and with markers of subclinical inflammation and liver enzymes, including C-reactive protein (CRP; P=0.007) and aspartate aminotransferase (AST; P=0.009). γ-carboxylation of OCN on Glu17 residue correlates with insulin resistance and subclinical inflammation, suggesting that γ-carboxylation of OCN negatively regulates its endocrine action in humans.

The aim of this study was to validate the performance and reliability of results obtained from a classification model that measures time spent performing activities in confined (CE) and unrestricted (UE) environments. In CE, participants wore a pair of biaxial and/or triaxial accelerometers while performing pre-determined training activities classified as variants of lying down, dynamic standing, sitting, walking and running on two separate days. A classification model trained with activities performed in a specific order during the first day was developed to validate the activities performed in a random order on the second day (CE) and over 24 hours on a separate day (UE). The performance of the classification model was validated against triaxial accelerometers using six (x, y and step counts for arm and thigh) or eight (same as six features plus z axis) features. The reliability of the classification model was tested in both environments using six features. Results revealed an overall accuracy of 94% in CE and 90% in UE. The sensitivity in CE and UE was 94% and 95% for lying down, 88% and 80% for dynamic standing, 97% and 89% for sitting, 96% and 78% for walking and 90% and 64% for running, respectively. No significant differences were noted between performances obtained with six or eight features. Results were highly reproducible in both environments. The results obtained from the classification model were accurate and reproducible, and highlight the potential use of this approach in research to quantify the time spent performing different activities.

Methylphenidate (MPH) has been previously shown to increase resting energy expenditure (REE) in individuals of normal weight; however, the effects on individuals living with obesity are currently unknown. Ten individuals living with obesity were randomly assigned to undergo 60 days of MPH administration with a daily dose of 0.5 mg/kg body weight or a placebo control. REE was measured before and after the 60‐day intervention. There was a trend toward significance for group × time interaction on REE (p = 0.082) with a large effect size (η2 = 0.331), with MPH administration increasing REE compared to a decrease in placebo control. Preliminary findings from this pilot study show that MPH has the potential to counter the adaptive thermogenic process commonly seen in weight loss. This is a unique finding among pharmacotherapies, as no approved obesity drugs measurably impact REE.

•No significant between-group differences were observed in this study for frequencies of FTO alleles.•FTO genotype interacted with attachment style to predict binge frequency.•rs1421085 interacts with insecure attachment in a way that may exacerbate binge eating. The genetics of binge-eating disorder (BED) is an emerging topic and one candidate pathway, namely the fat mass and obesity-associated (FTO) gene, may be implicated because of its role in food reward sensitivity and self-regulation of eating. The aims of this study were to examine the independent effects of variants of FTO on binge frequency in women with and without BED and to examine the moderating role of interpersonal attachment in this association. Secondary data analysis was conducted on a cross-sectional comparison of three groups of women in a trial of group treatment for BED: BED with obesity (n = 73), BED without obesity (n = 55), and normal weight without BED (n = 50). Women were genotyped for five of the most common FTO single-nucleotide polymorphisms, rs9939609, rs8050136, rs3751812, rs1421085, and rs1121980, which have been related to body mass index and energy intake. Binge frequency (Eating Disorder Examination), body composition (bioelectric impedance), and attachment (Attachment Style Questionnaire) were assessed. There were no significant between-group differences for frequencies of FTO alleles, nor were there any significant anthropometric associations. The FTO × attachment interaction was significant whereby, relative to a low-risk FTO genotype, individuals with a high-risk genotype for the SNP rs1421085 and high-avoidant attachment had higher mean binge frequency than those with high genetic risk but low-avoidant attachment (β = –7.96; t = –2.07; P = 0.042). FTO genotypes associated with risk for obesity and loss of control of eating, specifically rs1421085, may interact with insecure attachment in a way that may exacerbate binge eating among women with BED.

The purpose of this study was to investigate the impact of nutritional labelling on energy intake, appetite perceptions and attitudes towards food. During a 10-d period, seventy normal-weight (BMI<25 kg/m2) and seventy-one obese women (BMI≥30 kg/m2) were given three meals per d under ad libitum conditions. Participants were randomly assigned to one of three experimental labelling groups in which the only difference was the label posted on lunch meal entrée: (1) low-fat label, (2) energy label (energy content of the entrée and average daily needs) and (3) no label (control). Average energy intake was calculated by weighing all foods before v. after daily consumption. Hunger and fullness perceptions were rated on visual analogue scales immediately before and after each meal. Satiety efficiency was assessed through the calculation of the satiety quotient (SQ). The appreciation and perceived healthiness of the lunch entrées were rated on eight-point Likert scales. There was no difference in energy intake, SQ and attitudes towards food between the three labelling groups. Fasting hunger perception was higher in the low-fat label group compared with the two others groups (P=0·0037). No interactions between labelling groups and BMI categories were observed. In conclusion, although labelling does not seem to influence energy intake, a low-fat label may increase women’s fasting hunger perceptions compared with an energy label or no label.

The purpose of this study was to examine the effects of pre-university adiposity and physical fitness on changes of body weight and adiposity during the freshmen year. Twenty-nine freshmen (sixteen females and thirteen males) completed the study. Body weight and composition (dual-energy X-ray absorptiometry), waist circumference (WC), energy intake (7 d food diary) and activity-related energy expenditure (accelerometry) were measured in September, December and at the end of March. Peak oxygen uptake (VO2peak) was assessed at baseline only. Significant increases in body weight (1·9 (sd 2·0) kg, P < 0·05), BMI (0·6 (sd 0·7) kg/m2, P < 0·05), WC (2·7 (sd 3·0) cm, P < 0·05) and % body fat (BF) (3·1 (sd 2·3) %, P < 0·01) were noted in males, especially over the course of the first semester. No significant changes were observed in females. Results from correlation analyses showed that, baseline %BF was negatively associated with changes in body weight (r − 0·53, P < 0·01) and %BF (r − 0·41, P < 0·05) over the academic year. Baseline %BF predicted 27 % (P < 0·05) of the change in weight. Alcohol intake explained 34 % (P < 0·01) and 17 % (P < 0·05) of the changes in WC and %BF, respectively. The change in body weight and %BF were also positively associated with baseline VO2peak (r 0·51, P < 0·01; r 0·48, P < 0·01, respectively) while dietary restraint was negatively related to the changes in %BF (r − 0·43, P < 0·05). In summary, lower pre-university adiposity, higher VO2peak and higher alcohol intake are associated with greater changes in adiposity and body weight during the freshmen year.

Given the limitations associated with the measurement of food intake, we aimed to determine the reliability of a food menu to measure energy intake (EI) and macronutrient intake within the laboratory and under free-living conditions. A total of eight men and eight women (age 25·74 (sd 5·9) years, BMI 23·7 (sd 2·7) kg/m2) completed three identical in-laboratory sessions (ILS) and three out-of-laboratory sessions (OLS). During the ILS, participants had ad libitum access to a variety of foods, which they chose from a menu every hour, for 5 h. For the OLS, the foods were chosen from the menu at the start of the day and packed into containers to bring home. There were no significant differences in total EI (6118·6 (sd 2691·2), 6678·8 (sd 2371·3), 6489·5 (sd 2742·9) kJ; NS) between the three ILS and three OLS (6816·0 (sd 2713·2), 6553·5 (sd 2364·5), 6456·4 (sd 3066·8) kJ; NS). Significant intraclass correlations (ICC) for total energy (r 0·77, P < 0·0001), carbohydrate (r 0·81, P < 0·0001), dietary fat (r 0·54, P < 0·0001) and protein (r 0·81, P < 0·0001) intakes for the ILS and significant ICC for total energy (r 0·85, P < 0·0001), carbohydrate (0·85, P < 0·0001), dietary fat (0·72 P < 0·0001) and protein (0·80, P < 0·0001) intakes for the OLS were noted. The average within-subject CV for total EI was 18·3 (sd 10·0) and 16·1 (sd 10·3) % for the ILS and OLS, respectively, with a pleasantness rating for foods consumed of 124 (sd 14) mm out of 150 mm (83 %). Overall, the food menu produces a relatively reliable measure of EI inside and outside the laboratory. The results also underscore the difficulties in capturing a representative image of food intake given the relatively high day-to-day variation in the amount and composition of foods consumed.