Vision and Eating Behavior in Obese Subjects

Objective: Vision is one of a number of factors influencing the amount of food consumed during a meal. The purpose of this study was to investigate the impact of vision on the microstructure of the eating behavior of obese subjects. Research Methods and Procedures: Eighteen obese subjects with a body mass index (mean ± SD) of 39.1 ± 6.3 kg/m² twice consumed a standardized test meal in excess, once with and once without a blindfold. The microstructure of the eating behavior was registered by VIKTOR, a computerized eating monitor. Subjective motivation to eat (i.e., desire to eat, hunger, satiety, and prospective consumption) was rated by visual analogue scales (VASs) before, immediately after, and then hourly up to 3 hours after the test meals. Results: The obese subjects ate 24% less food when blindfolded (359 ± 194 g vs. 472 ± 179 g; p < 0.01). Despite a smaller amount of food consumed when blindfolded, there were no significant differences with or without the blindfold for any of the VASs measuring subjective motivation to eat after test meals. Discussion: The importance of vision in regulating our eating behavior was demonstrated in this study. The obese subjects ate 24% less food blindfolded without feeling less full. Eating blindfolded could be tested as a didactic tool to make obese subjects aware of what factors affect the termination of eating.     

Circadian Eating and Sleeping Patterns in the Night Eating Syndrome

Objective: To compare the eating and sleep‐wake patterns of persons with the night eating syndrome (NES) with those of matched control subjects. Research Methods and Procedures: Forty‐six overweight/obese NES subjects (mean age 43.3 ± 9.8 years; 32 women) and 43 similar controls (mean age 39.0 ± 11.0 years; 28 women) wore wrist actigraphs for 7 days and completed sleep and food diaries at home. Results: There was no difference between the total energy intake of the NES and the control subjects, but the pattern of energy intake differed greatly. Relative to control subjects, the temporal pattern of food intake of night eaters was delayed. Food intake after the evening meal, as a proportion of the 24‐hour intake, was more than 3‐fold greater in NES subjects than in controls (34.6 ± 10.1% vs. 10.0 ± 6.9%, p = 0.001). NES subjects had sleep onset, offset, and total sleep duration times comparable with those of controls. NES subjects reported more nocturnal awakenings than did controls (1.5 ± 1.0 per night vs. 0.5 ± 0.5; p < 0.001), and their actigraphically monitored arousals occurred earlier during sleep (at 128 minutes after sleep onset vs. 193 minutes, p = 0.01). NES subjects consumed food on 74% of the awakenings vs. 0% for the controls. Discussion: The pattern of cumulative energy intake of the night eaters suggests a phase delay in energy consumption relative to sleep‐wake times. NES may involve a dissociation of the circadian control of eating relative to sleep.     

It’s not just what you eat but when: The impact of eating a meal during simulated shift work on driving performance

Shiftworkers have impaired performance when driving at night and they also alter their eating patterns during nightshifts. However, it is unknown whether driving at night is influenced by the timing of eating. This study aims to explore the effects of timing of eating on simulated driving performance across four simulated nightshifts. Healthy, non-shiftworking males aged 18–35 years (n = 10) were allocated to either an eating at night (n = 5) or no eating at night (n = 5) condition. During the simulated nightshifts at 1730, 2030 and 0300 h, participants performed a 40-min driving simulation, 3-min Psychomotor Vigilance Task (PVT-B), and recorded their ratings of sleepiness on a subjective scale. Participants had a 6-h sleep opportunity during the day (1000–1600 h). Total 24-h food intake was consistent across groups; however, those in the eating at night condition ate a large meal (30% of 24-h intake) during the nightshift at 0130 h. It was found that participants in both conditions experienced increased sleepiness and PVT-B impairments at 0300 h compared to 1730 and 2030 h (p < 0.001). Further, at 0300 h, those in the eating condition displayed a significant decrease in time spent in the safe zone (p < 0.05; percentage of time within 10 km/h of the speed limit and 0.8 m of the centre of the lane) and significant increases in speed variability (p < 0.001), subjective sleepiness (p < 0.01) and number of crashes (p < 0.01) compared to those in the no eating condition. Results suggest that, for optimal performance, shiftworkers should consider restricting food intake during the night.     

Definitions of Night Eating in Adolescent Girls

Objective: To describe the prevalence of night eating in a community cohort of black and white girls, using different definitions of night eating as described in the literature. Research Methods and Procedures: Three‐day food diaries collected as part of the National Growth and Health Study were examined to identify episodes of night eating, which was defined in five different ways: eating >25% of daily caloric intake after the last evening meal, eating >25% of daily caloric intake after 7 pm, eating >50% of daily caloric intake after the last evening meal, eating >50% of daily caloric intake after 7 pm, or eating between 11 pm and 4:59 am. Results: Frequency of night eating varied tremendously depending on how the behavior was defined. For the least restrictive definition (>25% of total intake after last meal), 50% to 70% of girls reported one night eating event; for the most restrictive (>50% of total intake after last meal), only 1.5% of 11‐year‐old girls' diaries and 3.5% of 19‐year‐old girls' diaries contained a night eating event. The frequency of night eating decreased dramatically (typically by a factor of 10) if the inclusion criteria required multiple night eating events in a given week. Discussion: A standard definition of night eating behavior is needed to advance the field. An agreed‐on operationalized definition that includes time of day, amount of calories consumed, and a frequency criterion would enable cross‐study comparisons and encourage the examination of developmental and clinical considerations of night eating behavior.     

Night Eating Syndrome Is Associated with Depression,Low Self‐Esteem,Reduced Daytime Hunger,and Less Weight Loss in Obese Outpatients

Objective: The objective of this study was to assess the relationship between the night eating syndrome (NES), measures of depression and self‐esteem, test meal intake, and weight loss in obese participants. Research Methods and Procedures: The study included 76 overweight (body mass index = 36.7 ± 6.5 SD) outpatients (53 women and 23 men; aged 43.5 ± 9.5 years) entering a weight loss program. They completed a Night Eating Questionnaire, the Zung Depression Inventory, and the Rosenberg Self‐Esteem Scale. Based on criteria by Stunkard et al. (Stunkard A, Berkowitz R, Wadden T, Tanrikut C, Reiss E, Young L. Binge eating disorder and the night eating syndrome. Int J Obes Relat Metab Disord. 1996;20:1–6), participants had NES if they reported: (1) skipping breakfast ≥4 d/wk, interpreted as morning anorexia; (2) consuming more than 50% of total daily calories after 7 pm ; and (3) difficulty falling asleep or staying asleep ≥4 d/wk. Eleven (14%) participants met the criteria for NES. After an 8‐hour fast, all participants ingested a nutritionally complete liquid meal through a straw from a large opaque cooler until extremely full. They also completed ratings of hunger and fullness before and after this meal. Results: Night eaters had higher depression (p = 0.04), lower self‐esteem (p = 0.003), and less hunger (p = 0.005), and a trend for more fullness (p = 0.06) before the daytime test meal than the others. However, there were no significant differences in test‐meal intake between groups. Nevertheless, test‐meal intake was greater later in the day only for the night eaters (p = 0.01). Over a 1‐month period, the night eaters lost less weight (4.4 ± 3.2 kg) than the others (7.3 ± 3.2 kg; p = 0.04), after controlling for body mass index. Discussion: NES is a syndrome with distinct psychopathology and increased food intake later in the day, both of which may contribute to poorer weight loss outcome. NES criteria need to be better quantified and NES deserves consideration as a diagnostic eating disorder.     

Emotional Eating,Alexithymia, and Binge‐Eating Disorder in Obese Women

Objective: To investigate the relationships between alexithymia and emotional eating in obese women with or without Binge Eating Disorder (BED). Research Methods and Procedures: One hundred sixty‐nine obese women completed self‐report questionnaires, including the Beck Depression Inventory, the State Trait Anxiety Inventory, the Stress Perceived Scale, the Dutch Eating Behaviour Questionnaire, and the Toronto Alexithymia Scale. The presence of BED, screened using the Questionnaire of Eating and Weight Patterns, was confirmed by interview. Results: Forty obese women were identified as having BED. BED subjects and non‐BED subjects were comparable in age, body mass index, educational level, and socioeconomic class. According to the Dutch Eating Behaviour Questionnaire, BED subjects exhibited higher depression, anxiety, perceived stress, alexithymia scores, and emotional and external eating scores than non‐BED subjects. Emotional eating and perceived stress emerged as significant predictors of BED. The relationships between alexithymia and emotional eating in obese subjects differed between the two groups according to the presence of BED. Alexithymia was the predictor of emotional eating in BED subjects, whereas perceived stress and depression were the predictors in non‐BED subjects. Discussion: This study pointed out different relationships among mood, alexithymia, and emotional eating in obese subjects with or without BED. Alexithymia was linked to emotional eating in BED. These data suggest the involvement of alexithymia in eating disorders among obese women.     

Meal pattern of male rats maintained on histidine-, leucine-, or tyrosine-supplemented diet

Objective: Food intake is known to be affected by macronutrient composition of the diet, and protein manipulation has been reported to alter food intake, but the effect of individual amino acids on eating behavior has not been fully studied. This study investigated the effect of diet supplementation with three individual amino acids on meal pattern in male rats. Research Methods and Procedures: Thirty‐two Sprague‐Dawley rats were randomly divided into four equal groups and fed control diet or histidine (5%)‐, leucine (5%)‐, or tyrosine (5%)‐supplemented diet for 2 weeks and were monitored for their meal pattern. Results: Total food intake and feeding rate of the different groups were not affected, although other components of meal pattern were altered. Histidine supplementation reduced diurnal meal size by 42% (p < 0.05), whereas that of leucine increased nocturnal meal size by ～35% (p < 0.05). Tyrosine supplementation increased food intake of the nocturnal period and decreased that of the diurnal period. Both histidine and tyrosine supplementation elevated fasting plasma insulin levels and suppressed fasting glucose significantly. Discussion: Individual amino acids were found to alter meal pattern differently. Further investigations are required to dissect the involvement of central and peripheral factors in these alterations.     

Altering meal timing to improve cognitive performance during simulated nightshifts

ABSTRACT

Altering meal timing could improve cognition, alertness, and thus safety during the nightshift. This study investigated the differential impact of consuming a meal, snack, or not eating during the nightshift on cognitive performance (ANZCTR12615001107516). 39 healthy participants (59% male, age mean±SD: 24.5 ± 5.0y) completed a 7-day laboratory study and underwent four simulated nightshifts. Participants were randomly allocated to: Meal at Night (MN; n= 12), Snack at Night (SN; n = 13) or No Eating at Night (NE; n = 14). At 00:30 h, MN consumed a meal and SN consumed a snack (30% and 10% of 24 h energy intake respectively). NE did not eat during the nightshift. Macronutrient intake was constant across conditions. At 20:00 h, 22:30 h, 01:30 h, and 04:00 h, participants completed the 3-min Psychomotor Vigilance Task (PVT-B), 40-min driving simulator, post-drive PVT-B, subjective sleepiness scale, 2-choice Reaction Time task, and Running Memory task. Objective sleep was recorded for each of the day sleeps using Actigraphy and for the third day sleep, Polysomnography was used. Performance was compared between conditions using mixed model analyses. Significant two-way interactions were found. At 04:00 h, SN displayed increased time spent in the safe zone (p < .001; percentage of time spent within 10 km/h of the speed limit and 0.8 m of lane center), and decreases in speed variability (p < .001), lane variability (p < .001), post-drive PVT-B lapses (defined as RT > 355 ms; p < .001), and reaction time on the 2-choice reaction time task (p < .001) and running memory task (p < .001) compared to MN and NE. MN reported greater subjective sleepiness at 04:00 h (p < .001) compared to SN and NE. There was no difference in objective sleep between eating conditions. Eating a large meal during the nightshift impairs cognitive performance and sleepiness above the effects of time of night alone. For improved performance, shiftworkers should opt for a snack at night.     

Heritability of hyperphagic eating behavior and appetite-related hormones among Hispanic children

Objective: Eating in the absence of hunger (EAH) may be a genetically influenced phenotype of overweight children, but evidence is limited. This research evaluated the heritability (h²) of EAH and its association with overweight among Hispanic children 5 to 18 years old. Genetic and environmental associations of EAH with overweight, fat mass, and key hormonal regulators of food intake were also evaluated. Research Methods and Procedures: A family design was used to study 801 children from 300 Hispanic families. Weighed food intakes were used to measure EAH after an ad libitum dinner providing 50% of estimated energy needs. Fasting ghrelin, amylin, insulin, and leptin were measured by immunoassays. Measured heights, weights, and fat mass (using DXA) were obtained. Total energy expenditure (TEE) was measured by room respiration calorimetry. Results: On average, children consumed 41% of TEE at the dinner meal, followed by an additional 19% of TEE in the absence of hunger. Overweight children consumed 6.5% more energy at dinner (p < 0.001) and 14% more energy in the absence of hunger (p < 0.001) than non‐overweight children. Significant heritabilities were seen for EAH (h² = 0.51) and dinner intake (h² = 0.52) and for fasting levels of ghrelin (h² = 0.67), amylin (h² = 0.37), insulin (h² = 0.37), and leptin (h² = 0.34). Genetic correlations were seen between eating behavior and fasting hormones, suggesting common underlying genes affecting their expression. Discussion: This research provides new evidence that overweight Hispanic children exhibit elevated levels of hyperphagic eating behaviors that are influenced by genetic endowment.     

Mechanisms behind the portion size effect: visibility and bite size

Increases in portion size lead to increases in energy intake, yet the mechanisms behind this "portion size effect" are unclear. This study tested possible mechanisms of the portion size effect, i.e., bite size and visual cues. A 2 × 2 repeated measures, within-subject design was used to test the effects of portion size (410 g vs. 820 g of a pasta dish) and visual cues (blindfolded vs. visible) on energy intake in 30 individuals (15 men, 15 women). At each meal participants were exposed to one of four experimental conditions (small portion/visible; small portion/blindfold; large portion/visible; large portion/blindfold). Participant characteristics, food intake, number of bites, meal duration, palatability measures and hunger and fullness were assessed. In response to a doubling of the portion presented, entrée energy intake increased 26% (220 kcal; P < 0.001) and mean bite size increased 2.4 g/bite (P < 0.05). Overweight (OW) individuals consumed 40% (334 kcal) more of the entrée in response to the large portion condition (P < 0.05), while lean individuals' intakes did not differ (P < 0.56). A 12% (122 kcal) decrease in entrée intake was observed in the blindfolded condition (P < 0.01), but no portion by visual cue interaction was found; indicating that blindfolding did not significantly attenuate the portion size effect. These data suggest that the portion size effect is not impacted by removing the visual cue of food and that this effect occurs via changes in bite size in adults.     

Time-related eating patterns and chronotype are associated with diet quality in pregnant women

Animal studies strongly suggest that timed feeding can have beneficial physiological effects, including protection against the obesogenic and metabolic consequences of a high-fat diet. However, the relationship between variables related to the timing of eating and diet quality in pregnancy women, which is considered as a period of nutritional vulnerability, is still poorly described in the literature. Therefore, the aim of the present study was to investigate the associations between time-related eating patterns and chronotype with diet quality of pregnant women. This cross-sectional study was conducted with 100 pregnant women in the first gestational trimester (≤12 weeks of gestation). The information regarding food intake was obtained by three 24-Hour Dietary Recall (24HR). Time-related eating patterns, i.e., the interval between the first and the last meal (eating duration), nightly fasting, time of the first and last meals, and number of meals eating on a day were determined. Chronotype was derived using the mid-sleep time on free days on weekends, with a further correction for calculated sleep debt. Diet quality was evaluated using the Brazilian Healthy Eating Index-Revised (BHEI-R), validated for the Brazilian population. Linear regression modeling analyses adjusted for confounders were used to investigate the association between time-related eating patterns and chronotype with diet quality. The BHEI-R total score was negatively associated with time of the first meal (β = ?0.355; p = 0.002; r² adjusted = 0.141), and positively associated with eating duration (β = 0.262; p = 0.024; r² adjusted = 0.086) and number of meals (β = 0.273; p = 0.019; r² adjusted = 0.091). In addition, the score of total fruit component was negatively associated with chronotype (β = ?0.236; p = 0.033; r² adjusted = 0.078), time of the first meal (β = ?0.393; p = 0.001; r² adjusted = 0.171), and positively associated with eating duration (β = 0.259; p = 0.022; r² adjusted = 0.087) and number of meals (β = 0.376; p = 0.001; r² adjusted = 0.159). The score for whole fruit component was negatively associated with time of the first meal (β = ?0.388; p = 0.001; r² adjusted = 0.152), and positively associated with number of meals (β = 0.403; p = 0.001; r² adjusted = 0.164). A longer eating duration, earlier time of the first meal, higher number of meals and morningness tendency are associated with a better diet quality in the first gestational trimester – higher scores of the total BHEI-R and/or fruit components. We suggest that nutritional guidelines should consider time-related eating patterns and chronotype to ensure good diet quality of pregnant women since the beginning of gestation, contributing on prevention of metabolic-nutritional complications.     

Long-Term Weight Loss and Breakfast in Subjects in the National Weight Control Registry

Objective: To examine breakfast consumption in subjects maintaining a weight loss in the National Weight Control Registry (NWCR). Research Methods and Procedures: A cross-sectional study in which 2959 subjects in the NWCR completed demographic and weight history questionnaires as well as questions about their current breakfast consumption. All subjects had maintained a weight loss of at least 13.6 kg (30 lb) for at least 1 year; on average these subjects had lost 32 kg and kept it off for 6 years. Results: A large proportion of NWCR subjects (2313 or 78%) reported regularly eating breakfast every day of the week. Only 114 subjects (4%) reported never eating breakfast. There was no difference in reported energy intake between breakfast eaters and non-eaters, but breakfast eaters reported slightly more physical activity than non-breakfast eaters (p = 0.05). Discussion: Eating breakfast is a characteristic common to successful weight loss maintainers and may be a factor in their success.     

Psychosocial and physical impairment in overweight adolescents at high risk for eating disorders

Objective: Many overweight adolescents display elevated risk for the development of eating disorders, as seen in higher rates of weight/shape concerns and disordered eating behaviors, but the extent of impairment in this subset of high‐risk adolescents has not been explored. Research Methods and Procedures: Eighty‐one overweight adolescents (63% girls) presenting for an Internet‐based weight loss program were assessed at baseline using the Eating Disorder Examination Questionnaire, the Depression, Anxiety, and Stress Scale, and the Pediatric Quality of Life questionnaire. Adolescents who earned elevated scores on both the Weight Concern and Shape Concern subscales of the Eating Disorder Examination Questionnaire were considered at high risk for the development of eating disorders (56.8%). Results: Comparisons of high‐ and normal‐risk groups revealed that high‐risk adolescents reported higher levels of depression [F(3,76) = 5.75, p = 0.019], anxiety [F(3,76) = 5.67, p = 0.020], and stress [F(3,75) = 8.50, p = 0.005], and greater impairments in physical health [F(3,77) = 10.7, p = 0.002], emotional functioning [F(3,77) = 5.3, p = 0.024], and social functioning [F(3,77) = 10.0, p = 0.002]. There were no differences in school functioning [F(3,77) = 1.5, p = 0.219]. Among the high‐risk adolescents, over half (52.2%) reported binge eating at least once in the past month. Discussion: Results suggest that overweight adolescents at high risk for the development of eating disorders also experience elevated levels of negative affect, impairment in health‐related quality of life, and eating disturbances, although prospective data are needed to determine the directionality between eating disorder pathology and general psychopathology. Further research is warranted to evaluate whether behavioral weight loss interventions should be enhanced for this high‐risk subset.     

Caloric midpoint is associated with total calorie and macronutrient intake and body mass index in undergraduate students

ABSTRACT

Studies have suggested that eating at later times may be a risk factor for being overweight. The aim of this study was to investigate the association of caloric midpoint on the anthropometric profile and calorie and macronutrient intake during the day. The study included 718 Brazilian undergraduate students (20.5 ± 2.9 years old; 67% women). Dietary intake was assessed by 24-h recall and the diurnal variation of calorie consumption was evaluated by caloric midpoint average time at which 50% of daily energy were consumed. Participants were classified into two groups according to caloric midpoint median; early eaters (caloric midpoint ≤ 3:00 pm) or late eaters (caloric midpoint > 3:00 pm). Body weight and waist circumference were measured and body mass index (BMI) was determined. Generalized linear models adjusted for confounding variables were used to determine the association between variables. The late eaters presented higher BMI when compared to early eaters (23.0 kg/m² ± 0.3 vs. 22.1 kg/m² ± 0.2, respectively; p = .02). Late eaters reported a higher total daily consumption of energy (p < .001) and proportion consumed after 9:00 pm (p < .001), as well as total daily carbohydrate (p < .001), protein (p < .001), fat (p < .001), saturated fat (p < .001), and cholesterol (p = .04) intake when compared with early eaters. We conclude that concentrating food intake later in the day is associated with higher total energy and macronutrient intake as well as a higher average BMI.     

Effect of Orlistat in Obese Patients with Binge Eating Disorder

Objective: Binge eating disorder represents a significant public health problem, with up to 50% of weight loss program participants displaying this disorder. In previous studies with orlistat, patients with binge eating disorder were excluded. The goal of this study was to assess the efficacy of orlistat in obese patients with binge eating disorder. Research Methods and Procedures: Eighty‐nine patients with clinically diagnosed binge eating disorder and a BMI ≥ 30 kg/m² were randomized in double‐blind fashion to 24 weeks of treatment with 120 mg of orlistat or placebo three times daily, in combination with a mildly reduced‐calorie diet. Results: After 24 weeks, the mean weight loss from baseline for orlistat‐treated patients was significantly greater than for patients receiving placebo (?7.4% vs. ?2.3%; p = 0.0001) (intent‐to‐treat analysis). The overall Eating Disorder Inventory 2 score at week 24 was significantly lower in patients treated with orlistat than in those in the placebo group (p = 0.011) Discussion: Orlistat may be considered as part of the management for patients with obesity and binge eating disorder.     

Cognitive Behavioral Therapy and Fluoxetine as Adjuncts to Group Behavioral Therapy for Binge Eating Disorder

Objective: Although binge eating disorder is a common and distressing concomitant of obesity, it has not yet been established whether affected individuals presenting to behavioral weight control programs should receive specialized treatments to supplement standard treatment. This study was designed to examine the added benefit of two adjunctive interventions, individual cognitive behavioral therapy (CBT) and fluoxetine, offered in the context of group behavioral weight control treatment. Research Methods and Procedures: One hundred sixteen overweight/obese women and men with binge eating disorder were all assigned to receive a 16‐session group behavioral weight control treatment over 20 weeks. Simultaneously, subjects were randomly assigned to receive CBT + fluoxetine, CBT + placebo, fluoxetine, or placebo in a two‐by‐two factorial design. Outcome measures, assessed at the end of the 16‐session acute treatment phase, included binge frequency, weight, and measures of eating‐related and general psychopathology. Results: Overall, subjects showed substantial improvement in binge eating and both general and eating‐related psychopathology, but little weight loss. Subjects who received individual CBT improved more in binge frequency than did those not receiving CBT (p < 0.001), and binge abstinence was significantly more common in subjects receiving CBT vs. those who did not (62% vs. 33%, p < 0.001). Fluoxetine treatment was associated with greater reduction in depressive symptoms (p < 0.05). The 54 subjects who achieved binge abstinence improved more on all measures than the 62 subjects who did not. In particular, these subjects lost, on average, 6.2 kg compared with a gain of 0.7 kg among non‐abstainers. Discussion: Adjunctive individual CBT results in significant additional binge reduction in obese binge eaters receiving standard behavioral weight control treatment.     

Short‐Term Effects of Gastric Bypass Surgery on Circulating Ghrelin Levels

Objective: To prospectively evaluate the short‐term effects of Roux‐en‐Y gastric bypass (RYGBP) on ghrelin secretion and its relevance on food intake and body weight changes. Research Methods and Procedures: Ghrelin response to a standardized test meal was evaluated in eight obese patients (BMI, 43.5 to 59.1 kg/m²) before and 6 weeks after RYGBP. Ghrelin response was compared with that of an age‐matched group of six normal weight individuals (BMI, 19.6 to 24.9 kg/m²). Results: Fasting serum ghrelin levels were lower in obese subjects compared with controls (p < 0.05). Meal ingestion significantly suppressed ghrelin concentration in controls (p < 0.05) and obese subjects (p < 0.05), albeit to a lesser degree in the latter group (p < 0.05). Despite a 10.3 ± 1.5% weight loss, fasting serum ghrelin levels were paradoxically further decreased in obese subjects 6 weeks after RYGBP (p < 0.05). Moreover, at this time‐point, food intake did not elicit a significant ghrelin suppression. The changes in ghrelin secretion after RYGBP correlated with changes in insulin sensitivity (p < 0.05) and caloric intake (p < 0.05). Discussion: This study showed that the adaptive response of ghrelin to body weight loss was already impaired 6 weeks after RYGBP. Our study provides circumstantial evidence for the potential role of ghrelin in the negative energy balance in RYGBP‐operated patients.     

Binge Size Increases with Body Mass Index in Women with Binge-Eating Disorder

Objective: To determine whether meal size is related to body mass index (BMI) in obese subjects with binge-eating disorder (BED). Research Methods and Procedures: Five groups of subjects each consumed two laboratory-test meals on nonconsecutive days. Forty-two women, categorized by BMI and BED diagnosis, were instructed to “binge” during one meal and to eat “normally” during another. Eighteen women had BMI values >38 kg/m² (more-obese) and 17 had BMI values between 28 to 32 kg/m² (less-obese). Twelve of the more-obese and nine of the less-obese individuals met Diagnostic and Statistical Manual (DSM)-IV criteria for BED. Seven normal-weight women also participated as controls. Results: Subjects with BED ate significantly more in both meals than subjects without BED. Binge meals were significantly larger than normal meals only among subjects with BED. The more-obese subjects with BED ate significantly more than the less-obese subjects with BED, but only when they were asked to binge. Intake of the binge meal was significantly, positively correlated with BMI among subjects with BED. Subjects with BED reported significantly higher satiety ratings after the binge than after the normal meal, but subjects without BED reported similar ratings after both meals. Regardless of instructions and diagnosis, obese subjects consumed a significantly higher percentage of energy from fat (38.5%) than did normal-weight subjects (30.8%). Discussion: During binge meals, the energy intake of subjects with BED is greater than that of individuals of similar body weight without BED and is positively correlated with BMI.     

Measurement of,and Some Reasons for,Differences in Eating Habits Between Night and Day Workers

A questionnaire was designed to assess the following: why working people chose to eat or not to eat at a particular time of day; the factors that influenced the type of food eaten; and subjective responses to the meal (hunger before, enjoyment during, satiety afterward). Self-assessments were done every 3h during a typical week containing work and rest days, by one group of 50 day workers and another group of 43 night workers. During the night work hours compared to rest days, night workers evidenced a significantly altered food intake, with a greater frequency of cold rather than hot food (p < 0.001). The type and frequency of meals were influenced significantly more (p < 0.05) by habit and time availability and less by appetite. This pattern continued into the hours immediately after the night shift had ended. In day workers food intake during work hours, compared to rest days, was also influenced significantly more often (p < 0.05) by time availability than hunger, but less so than with night workers. Moreover, day workers were less dependent than night workers upon snacks (p = 0.01), and any significant differences from rest days did not continue beyond work hours. Not only did night workers change their eating habits during work days more than did day workers but also they looked forward to their meals significantly less (p < 0.001) and felt more bloated after consuming them (p < 0.05), such effects being present to some extent during their rest days also. These findings have clear implications for measures designed to ease eating problems that are commonly problematic in night workers.     

Binge Status and Quality of Life after Gastric Bypass Surgery: A One‐Year Study

Objective: This study evaluated gastric bypass surgery outcomes according to presurgical binge eating severity. Research Methods and Procedures: Adult patients completed assessment questionnaires including the Short Form‐36, Gormally Binge Eating Scale (BES), and Beck Depression Inventory (BDI) before and 12 months after surgery. Results: One hundred nine patients (18 men, 91 women) were recruited. Based on their baseline BES scores, patients were non‐ [n = 52 (48%)], moderate [n = 31 (28%)], or severe [n = 26 (24%)] binge eaters. Although the percentage of excess weight loss was greatest after 12 months in the severe binge eaters, the difference among groups was not significant. Severe binge eaters had higher baseline BDI scores than either non‐ or moderate binge eaters (p = 0.001). After surgery, BDI scores declined significantly in all groups from the baseline scores but remained higher postoperatively in the severe binge eaters (p = 0.018). BES scores declined significantly (p = 0.000) after surgery within all groups. There was no difference in the Short Form‐36 physical component summary scores at baseline among groups. Mental component summary scores were significantly lower in the severe binge eaters (p = 0.001). After surgery, there was no difference among groups in either physical or mental component summary scores. Discussion: In conclusion, data from the present study suggest that patients have similar outcomes in terms of improved depression scores, binge eating behavior, and health‐related quality of life regardless of their binge eating severity before surgery. Patients with the most severe binge eating behavior before surgery showed the most improvement when assessed 12 months after surgery.