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.     

Dietary Intake in Relation to Restrained Eating,Disinhibition, and Hunger in Obese and Nonobese Swedish Women

The aims of this study were to: describe dietary intakes of obese and nonobese middle-aged women using a validated food frequency questionnaire; to assess dietary restraint, disinhibition, and hunger by the three factor eating questionnaire (TFEQ) in obese and nonobese samples and determine which of the factors are independently associated with obesity; and to examine correlations between selected nutritional variables and the TFEQ factors. Subjects studied included 179 obese Swedish women (BMI>32) and 147 nonobese population-based controls (BMI<28). Age-adjusted mean energy intake was significantly higher in obese women (2730 ± 78 vs. 2025 ± 85 kcal, p<0.0001). In absolute and relative terms, fat intake was higher and alcohol intake was lower in the obese subjects. Disinhibition was the strongest TFEQ factor independently differentiating the obese and nonobese states, i.e., after adjustment for restraint and hunger. Within the obese sample, strong associations were seen between energy intake and disinhibition (p=0.0005) and hunger (p=0.0004). The association between energy intake and restrained eating was negative and weaker (p=0.04). No such associations were seen in nonobese women. Thus, using a dietary instrument that is valid and unbiased with respect to obesity, strong psychological correlates, possibly causal, of variability in energy intake were detected in middle-aged women with obesity. Disinhibition is associated with both obesity and high-energy intakes and is therefore an important factor to consider in the treatment of women with obesity.     

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.     

Influence of Methylphenidate on Eating in Obese Men

Objective: Rapid synaptic dopamine transport or reduced brain dopamine receptor signaling may influence energy intake. Methylphenidate, a dopamine reuptake inhibitor, increases brain synaptic dopamine and produces anorexia, suggesting that it may reduce energy intake. We investigated the effects of two doses of short‐acting methylphenidate on energy intake over one meal in obese adult males. Research Methods and Procedures: Nine obese males (>85th BMI percentile) ingested a placebo or a moderate dose (0.5 mg/kg) or a high dose (1.0 mg/kg) of methylphenidate in a within‐subject double‐blind acute laboratory study. One hour after ingestion, pizza consumption was measured in a naturalistic laboratory setting. Results: Participants reduced energy intake by 23% for the moderate dose vs. the placebo (p < 0.02), but there was no significant difference for the high dose vs. the moderate dose (p > 0.05). Participants consumed 34% fewer kilocalories after ingesting the lowest effective dose of methylphenidate compared with placebo (725.7 ± 404.5 vs.1095 ± 271.1 kcal, p < 0.01). Seven of nine subjects responded to the moderate dose. The increase in perceived drug effect above placebo was correlated with the reduction in energy intake for both the moderate (r = ?0.85, p = 0.004) and the high (r = ?0.75 p = 0.021) doses. Hunger scores were not different across drug doses or placebo before drug administration. Discussion: Methylphenidate reduced energy intake of a highly palatable food over one meal by one‐third in obese adult males. Dopamine transport inhibition may be an effective component of a comprehensive treatment for obesity.     

The Effects of Consuming Frequent,Higher Protein Meals on Appetite and Satiety During Weight Loss in Overweight/Obese Men

The purpose of this study was to determine the effects of dietary protein and eating frequency on perceived appetite and satiety during weight loss. A total of 27 overweight/obese men (age 47 ± 3 years; BMI 31.5 ± 0.7 kg/m²) were randomized to groups that consumed an energy‐restriction diet (i.e., 750 kcal/day below daily energy need) as either higher protein (HP, 25% of energy as protein, n = 14) or normal protein (NP, 14% of energy as protein, n = 13) for 12 weeks. Beginning on week 7, the participants consumed their respective diets as either 3 eating occasions/day (3‐EO; every 5 h) or 6 eating occasions/day (6‐EO; every 2 h), in randomized order, for 3 consecutive days. Indexes of appetite and satiety were assessed every waking hour on the third day of each pattern. Daily hunger, desire to eat, and preoccupation with thoughts of food were not different between groups. The HP group experienced greater fullness throughout the day vs. NP (511 ± 56 vs. 243 ± 54 mm · 15 h; P < 0.005). When compared to NP, the HP group experienced lower late‐night desire to eat (13 ± 4 vs. 27 ± 4 mm, P < 0.01) and preoccupation with thoughts of food (8 ± 4 vs. 21 ± 4 mm; P < 0.01). Within groups, the 3 vs. 6‐EO patterns did not influence daily hunger, fullness, desire to eat, or preoccupation with thoughts of food. The 3‐EO pattern led to greater evening and late‐night fullness vs. 6‐EO but only within the HP group (P < 0.005). Collectively, these data support the consumption of HP intake, but not greater eating frequency, for improved appetite control and satiety in overweight/obese men during energy restriction‐induced weight loss.     

Internal Desynchronization of Circadian Rhythms and Tolerance to Shift Work

Intolerance to shift work may result from individual susceptibility to an internal desynchronization. Some shift workers (SW) who show desynchronization of their circadian rhythms (e.g., sleep‐wake, body temperature, and grip strength of both hands) exhibit symptoms of SW intolerance, such as sleep alteration, persistent fatigue, sleep medication dependence, and mood disturbances, including depression. Existing time series data previously collected from 48 male Caucasian French SW were reanalyzed specifically to test the hypothesis that internal synchronization of circadian rhythms is associated with SW intolerance and symptoms. The entry of the subjects into the study was randomized. Three groups were formed thereafter: SW with good tolerance (n=14); SW with poor tolerance, as evident by medical complaints for at least one year (n=19); and former SW (n=15) with very poor tolerance and who had been discharged from night work for at 1.5 yr span but who were symptom‐free at the time of the study. Individual and longitudinal time series of selected variables (self‐recorded sleep‐wake data using a sleep log, self‐measured grip strength of both hands using a Colin Gentile dynamometer, and oral temperature using a clinical thermometer) were gathered for at least 15 days, including during one or two night shifts. Measurements were performed 4–5 times/24 h. Power spectra that quantify the prominent period (τ) and t‐test, chi square, and correlation coefficient were used as statistical tools. The mean (±SEM) age of SW with good tolerance was greater than that of SW with poor tolerance (44.9±2.1 yrs vs. 40.1±2.6 yrs, p<.001) and of former SW discharged from night work (very poor tolerance; 33.4±1.7, p<.001). The shift-work duration (yrs) was longer in SW with good than poor tolerance (19.9±2.2 yrs vs. 15.7±2.2; p<0.002) and former SW (10.7±1.2; p<.0001). The correlation between subject age and shift-work duration was stronger in tolerant SW (r=0.97, p<.0001) than in non‐tolerant SW (r=0.80, p<0.001) and greater than that of former SW (r=0.72, p<.01). The mean sleep‐wake rhythm τ was 24 h for all 48 subjects. The number of desynchronized circadian rhythms (τ differing from 24 h) was greater in non‐tolerant than in tolerant SW (chi square=38.9, p<.0001). In Former SW (i.e., 15 individuals assessed in follow‐up studies done 1.5 to 20 yrs after return to day work), both symptoms of intolerance and internal desynchronization were reduced or absent. The results suggest that non‐tolerant SW are particularly sensitive to the internal desynchronization of their circadian time organization.     

Eating Frequency is Associated With Energy Intake but Not Obesity in Midlife Women

Midlife women tend to gain weight with age, thus increasing risk of chronic disease. The purpose of this study was to examine associations between overweight/obesity and behavioral factors, including eating frequency, in a cross‐sectional national sample of midlife women (n = 1,099) (mean age = 49.7 years, and BMI = 27.7 kg/m²). Eating behaviors and food and nutrient intakes were based on a mailed 1‐day food record. BMI was calculated from self‐reported height and weight, and level of physical activity was assessed by self‐reported questionnaire. After exclusion of low‐energy reporters (32% of sample), eating frequency was not associated with overweight/obesity (P > 0.05) and was not different between BMI groups (normal, 5.21 ± 1.79; overweight, 5.16 ± 1.74; obese, 5.12 ± 1.68, P = 0.769). Adjusted logistic regression showed that eating frequency, snacking frequency, breakfast consumption, eating after 10 pm and consuming meals with children or other adults were not significantly associated with overweight/obesity. Total energy intake increased as eating frequency increased in all BMI groups, however, obese women had greater energy intake compared to normal weight women who consumed the same number of meals and snacks. Intake of fruit and vegetables, whole grains, dietary fiber, dairy, and added sugars also increased as eating frequency increased. While eating frequency was not associated with overweight/obesity, it was associated with energy intake. Thus, addressing total energy intake rather than eating frequency may be more appropriate to prevent weight gain among midlife women.     

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.     

Vision and Eating Behavior

Objective: Eating behavior is influenced by internal and external factors. Vision is one part of the complex pattern of factors influencing the amount of food consumed during a meal. The aim of this study was to explore the impact of vision on the microstructure of eating behavior and the subjective motivation to eat. Research Methods and Procedures: Nine blind subjects and nine matched seeing control subjects consumed a standardized meal registered by VIKTOR, an eating monitor, measuring the microstructure of the eating behavior. The eating behavior of the control subjects was registered twice, with and without blindfold. Results: The eating behavior of the blind subjects did not differ from that of seeing control subjects. However, the eating behavior of seeing subjects eating with blindfold demonstrated a clear impact of vision on eating behavior. When blindfolded, subjects ate 22% less food (p < 0.05), had shorter meal durations (p < 0.05), and had less decelerated eating curves (p < 0.05). Despite a smaller amount of food consumed when blindfolded, the reported feeling of fullness was identical to that reported after the larger meal consumed without blindfold. Discussion: The importance of vision in regulating our eating behavior is further stressed in this study. Eating with a blindfold decreased the intake of food, without making subjects feel less full. Eating blindfolded, therefore, may force subjects to rely more on internal signals. These results might be used as an aid in the development of new treatment strategies for obese subjects.     

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.     

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.     

Explaining Sleep Duration in Adolescents: The Impact of Socio‐Demographic and Lifestyle Factors and Working Status

Previous studies found students who both work and attend school undergo a partial sleep deprivation that accumulates across the week. The aim of the present study was to obtain information using a questionnaire on a number of variables (e.g., socio‐demographics, lifestyle, work timing, and sleep‐wake habits) considered to impact on sleep duration of working (n=51) and non‐working (n=41) high‐school students aged 14–21 yrs old attending evening classes (19:00–22:30 h) at a public school in the city of São Paulo, Brazil. Data were collected for working days and days off. Multiple linear regression analyses were performed to assess the factors associated with sleep duration on weekdays and weekends. Work, sex, age, smoking, consumption of alcohol and caffeine, and physical activity were considered control variables. Significant predictors of sleep duration were: work (p < 0.01), daily work duration (8–10 h/day; p < 0.01), sex (p=0.04), age 18–21 yrs (0.01), smoking (p=0.02) and drinking habits (p=0.03), irregular physical exercise (p < 0.01), ease of falling asleep (p=0.04), and the sleep‐wake cycle variables of napping (p < 0.01), nocturnal awakenings (p < 0.01), and mid‐sleep regularity (p < 0.01). The results confirm the hypotheses that young students who work and attend school showed a reduction in night‐time sleep duration. Sleep deprivation across the week, particularly in students working 8–10 h/day, is manifested through a sleep rebound (i.e., extended sleep duration) on Saturdays. However, the different roles played by socio‐demographic and lifestyle variables have proven to be factors that intervene with nocturnal sleep duration. The variables related to the sleep‐wake cycle—naps and night awakenings—proved to be associated with a slight reduction in night‐time sleep, while regularity in sleep and wake‐up schedules was shown to be associated with more extended sleep duration, with a distinct expression along the week and the weekend. Having to attend school and work, coupled with other socio‐demographic and lifestyle factors, creates an unfavorable scenario for satisfactory sleep duration.     

The Influence of Higher Protein Intake and Greater Eating Frequency on Appetite Control in Overweight and Obese Men

The purpose of this study was to determine the effects of dietary protein intake and eating frequency on perceived appetite, satiety, and hormonal responses in overweight/obese men. Thirteen men (age 51 ± 4 years; BMI 31.3 ± 0.8 kg/m²) consumed eucaloric diets containing normal protein (79 ± 2 g protein/day; 14% of energy intake as protein) or higher protein (138 ± 3 g protein/day; 25% of energy intake as protein) equally divided among three eating occasions (3‐EO; every 4 h) or six eating occasions (6‐EO; every 2 h) on four separate days in randomized order. Hunger, fullness, plasma glucose, and hormonal responses were assessed throughout 11 h. No protein × eating frequency interactions were observed for any of the outcomes. Independent of eating frequency, higher protein led to greater daily fullness (P < 0.05) and peptide YY (PYY) concentrations (P < 0.05). In contrast, higher protein led to greater daily ghrelin concentrations (P < 0.05) vs. normal protein. Protein quantity did not influence daily hunger, glucose, or insulin concentrations. Independent of dietary protein, 6‐EO led to lower daily fullness (P < 0.05) and PYY concentrations (P < 0.05). The 6‐EO also led to lower glucose (P < 0.05) and insulin concentrations (P < 0.05) vs. 3‐EO. Although the hunger‐related perceived sensations and hormonal responses were conflicting, the fullness‐related responses were consistently greater with higher protein intake but lower with increased eating frequency. Collectively, these data suggest that higher protein intake promotes satiety and challenge the concept that increasing the number of eating occasions enhances satiety in overweight and obese men.     

The effects of Goami No. 2 rice, a natural fiber-rich rice, on body weight and lipid metabolism

Objective : Increased intake of dietary fiber reduces the risk of obesity and type 2 diabetes. We assessed the effects of a fiber‐rich diet on body weight, adipokine concentrations, and the metabolism of glucose and lipids in non‐obese and obese subjects in Korea, where rice is the main source of dietary carbohydrates. Research Methods and Procedures : Eleven healthy, non‐obese and 10 obese subjects completed two 4‐week phases of individual isoenergetic food intake. During the control diet phase, subjects consumed standard rice; during the modified diet phase, subjects consumed equal proportions of fiber‐rich Goami No. 2 rice and standard rice. We used a randomized, controlled, crossover study design with a washout period of 6 weeks between the two phases. Results : After the modified diet phase, body weight was significantly lower in both the non‐obese and obese subjects (non‐obese, 57.0 ± 2.9 vs. 56.1 ± 2.8 kg, p = 0.001; obese, 67.7 ± 2.1 vs. 65.7 ± 2.0 kg, p < 0.001 for before vs. after). The BMI was significantly lower in obese subjects (26.9 ± 0.5 vs. 26.0 ± 0.6 kg/m², p < 0.001). The modified diet was associated with lower serum triacylglycerol (p < 0.01), total cholesterol (p < 0.01), low‐density lipoprotein cholesterol (p < 0.05), and C‐peptide (p < 0.05) concentrations in the obese subjects. Discussion : These results indicate that fiber‐rich Goami No. 2 rice has beneficial effects and may be therapeutically useful for obese subjects.     

Grazing and loss of control related to eating: two high-risk factors following bariatric surgery

Background: Gastric restrictive surgery induces a marked change in eating behavior. However, the relationship between preoperative and postoperative eating behavior and weight loss outcome has received limited attention. Objective: This study assessed a range of eating behaviors before and 1 year after laparoscopic adjustable gastric banding (LAGB) and explored the nature and extent of change in eating patterns, their clinical associates, and impact on weight loss. Methods and Procedures: A 12‐month observational study assessed presurgical and postsurgical binge eating disorder (BED), uncontrolled eating, night eating syndrome (NES), grazing, nutrient intake and eating‐related behaviors, and markers of psychological distress. A total of 129 subjects (26 male and 103 female, mean age 45.2 ± 11.5 and BMI 44.3 ± 6.8) participated in this study. Results: Presurgical BED, uncontrolled eating, and NES occurred in 14%, 31%, and 17.1% of subjects, which reduced after surgery to 3.1%, 22.5%, and 7.8%, respectively (P = 0.05 for all). Grazing was prevalent before (26.3%) and after surgery (38.0%). Preoperative BED most frequently became grazers (P = 0.029). The average percentage weight loss (%WL) was 20.8 ± 8.5%; range ?0.67 to 50.0% and percentage of excess weight loss (%EWL) 50.0 ± 20.7%; range ?1.44 to 106.9% (P < 0.001). Uncontrolled eating and grazing after surgery showed high overlap and were associated with poorer %WL (P = 0.008 and P < 0.001, respectively) and elevated psychological distress. Discussion: Consistent with recent studies, uncontrolled eating and grazing were identified as two high‐risk eating patterns after surgery. Clearer characterization of favorable and unfavorable postsurgical eating behaviors, reliable methods to assess their presence, and empirically tested postsurgical intervention strategies are required to optimize weight loss outcomes and facilitate psychological well‐being in at‐risk groups.     

Restrained Eating Behavior and the Metabolic Response to Dietary Energy Restriction in Women

Objective: To determine whether prior eating behavior characterized by dietary restraint alters responses in energy expenditure and substrate oxidation associated with a short‐term, energy‐restricted diet. Research Methods and Procedures: A repeated‐measures, 3‐day diet‐intervention study of adequate (125 kJ/kg of body weight) or restricted (62.5 kJ/kg) energy intake was conducted with 30 women, 20 to 46 years, BMI 25 to 45 kg/m², whose prior eating behavior was “restrained” or “unrestrained.” The Eating Inventory (cognitive restraint subscale) was used to measure restrained eating behavior. Energy expenditure and substrate oxidation were measured after a 12‐hour fast and during the first and fourth hours after a standard meal. Plasma glucose, nonesterified fatty acids, and insulin were measured at corresponding times. Body composition was determined by total body electrical conductivity. Results: Resting energy expenditure was not affected by 3 days of energy restriction. Short‐term energy restriction resulted in lower respiratory‐exchange ratios, higher rates of fat oxidation, and lower rates of carbohydrate oxidation. Subjects classified as restrained eaters had higher postprandial respiratory‐exchange ratios and carbohydrate‐oxidation rates compared with unrestrained eaters. Fasting insulin concentrations were lower in restrained eaters. These effects associated with prior eating behavior were independent of the diet intervention. Discussion: Metabolic outcomes associated with a 3‐day energy‐restricted diet (i.e., increased fat oxidation and decreased carbohydrate oxidation) were not affected by prior restrained eating behavior. However, restrained eating behavior was associated with increased carbohydrate oxidation after a mixed meal. This effect of restrained eating behavior may be attributable to increased insulin sensitivity.     

Dietary Restraint and Control Over “Wanting” Following Consumption of “Forbidden” Food

Eating behavior can be influenced by the rewarding value of food, i.e., “liking” and “wanting.” The objective of this study was to assess in normal‐weight dietary restrained (NR) vs. unrestrained (NU) eaters how rewarding value of food is affected by satiety, and by eating a nonhealthy perceived, dessert‐specific food vs. a healthy perceived, neutral food (chocolate mousse vs. cottage cheese). Subjects (24NR age = 25.0 ± 8.2 years, BMI = 22.3 ± 2.1 kg/m²; 26NU age = 24.8 ± 8.0 years, BMI = 22.1 ± 1.7 kg/m²) came to the university twice, fasted (randomized crossover design). Per test‐session “liking” and “wanting” for 72 items divided in six categories (bread, filling, drinks, dessert, sweets, stationery (placebo)) was measured, before and after consumption of chocolate mousse/cottage cheese, matched for energy content (5.6 kJ/g) and individual daily energy requirements (10%). Chocolate mousse was liked more than cottage cheese (P < 0.05). After consumption of chocolate mousse or cottage cheese, appetite and “liking” vs. placebo were decreased in NR and NU (P < 0.03), whereas “wanting” was only decreased in NR vs. NU (P ≤ 0.01). In NR vs. NU “wanting” was specifically decreased after chocolate mousse vs. cottage cheese; this decrease concerned especially “wanting” for bread and filling (P < 0.05). To conclude, despite similar decreases in appetite and “liking” after a meal in NR and NU, NR decrease “wanting” in contrast to NU. NR decrease “wanting” specifically for a nonhealthy perceived, “delicious,” dessert‐specific food vs. a nutritional identical, yet healthy perceived, slightly less “delicious,” “neutral” food. A healthy perceived food may thus impose greater risk for control of energy intake in NR.     

Differences in Sleep,Light, and Circadian Phase in Offshore 18:00–06:00 h and 19:00–07:00 h Shift Workers

Complaints concerning sleep are high among those who work night shifts; this is in part due to the disturbed relationship between circadian phase and the timing of the sleep‐wake cycle. Shift schedule, light exposure, and age are all known to affect adaptation to the night shift. This study investigated circadian phase, sleep, and light exposure in subjects working 18:00–06:00 h and 19:00–07:00 h schedules during summer (May–August). Ten men, aged 46±10 yrs (mean±SD), worked the 19:00–07:00 h shift schedule for two or three weeks offshore (58°N). Seven men, mean age 41±12 yrs, worked the 18:00–06:00 h shift schedule for two weeks offshore (61°N). Circadian phase was assessed by calculating the peak (acrophase) of the 6‐sulphatoxymelatonin rhythm measured by radioimmunoassay of sequential urine samples collected for 72 h at the end of the night shift. Objective sleep and light exposure were assessed by actigraphy and subjective sleep diaries. Subjects working 18:00–06:00 h had a 6‐sulphatoxymelatonin acrophase of 11.7±0.77 h (mean±SEM, decimal hours), whereas it was significantly later, 14.6±0.55 h (p=0.01), for adapted subjects working 19:00–07:00 h. Two subjects did not adapt to the 19:00–07:00 h night shift (6‐sulphatoxymelatonin acrophases being 4.3±0.22 and 5.3±0.29 h). Actigraphy analysis of sleep duration showed significant differences (p=0.03), with a mean sleep duration for those working 19:00–07:00 h of 5.71±0.31 h compared to those working 18:00–06:00 h whose mean sleep duration was 6.64±0.33 h. There was a trend to higher morning light exposure (p=0.07) in the 19:00–07:00 h group. Circadian phase was later (delayed on average by 3 h) and objective sleep was shorter with the 19:00–07:00 h than the 18:00–06:00 h shift schedule. In these offshore conditions in summer, the earlier shift start and end time appears to favor daytime sleep.     

Nutritional status and eating habits of bus drivers during the day and night

The aim of this study was to compare anthropometry and food intake patterns in bus drivers working during the day and night. One hundred and fifty males (81 night workers and 69 day workers) participated in the study. Dietary intake was assessed using a validated semi-quantitative food frequency questionnaire. Measurements of height, weight, waist circumference (WC), systolic and diastolic blood pressure, blood glucose, and lipid profile were obtained. A significant difference between groups was observed for mean WC (98.5?±?10.7?cm in day workers versus 103.2?±?9.7?cm in night workers; p?=?0.005). Night workers had higher prevalence of being overweight and obese (BMI?≥?25?kg/m²) than day workers (78.2% day workers versus 90.2% night workers; p?=?0.004) and increased WC (>94?cm) (72.4% day workers versus 86.4% night workers; p?=?0.03). Significant differences were found for meat consumption (2.3 servings ±0.9 for night workers versus 2.0 servings ±0.7 day workers, p?=?0.04) and fruit intake (0.9 servings ±0.4 for night workers versus 0.7 servings for day workers ±0.5; p?=?0.006). Night workers had a lower intake of vegetables than recommended compared to day workers (100 versus 92.7%, respectively, p?=?0.01) and higher intake of oil (40.7 versus 24.6%, p?=?0.03). Multivariate logistic regression analysis indicated that night work was associated with being overweight (OR?=?2.94, 95% IC: 1.14–7.66, p?=?0.03) and abnormal values of WC (OR?=?2.82, 95% IC: 1.20–6.69, p?=?0.009) after adjusting for potential confounders. It is concluded that night workers had a higher prevalence and risk of being overweight/obese and increased WC compared with day workers. Night workers also presented a higher proportion of inappropriate intakes of food groups when compared to day workers, even though both groups were eating poor diets. These results demonstrate the need of lifestyle-intervention programs in these workers.     

Consequence of omitting or adding a meal in man on body composition, food intake, and metabolism

Objective: To investigate in man the consequence on body composition and related biological and metabolic parameters of omitting or adding a meal. Research Methods and Procedures: Twenty‐four young normal‐weight male subjects were recruited, 12 usual four‐meal and 12 usual three‐meal eaters, differing only in the consumption of an afternoon meal. They omitted or added a fourth meal during a 28‐day habituation period and were asked to report their intake on three 3‐day occasions. Before and after this habituation period, subjects participated in a session with a time‐blinded procedure, and blood was collected continuously from lunch to the spontaneously requested dinner. Body composition, respiratory quotient, and biochemical parameters were measured in the late evening preceding each session. Results: Omitting a meal was followed by increases in fat mass (360 ± 115 grams, p < 0.05), late evening leptin concentration (20.7 ± 11.0%, p < 0.05), and respiratory quotient (3.7 ± 1.4%, p < 0.05). Increase in the percentage of dietary fat during the habituation period (+4.1 ± 2.0%, p < 0.05) was correlated with fat mass (r = 0.66, p < 0.05). Adding a meal had no effect, but, in both groups, the change in energy content at this fourth eating occasion was correlated with the change in adiposity. Discussion: Our results suggest that adiposity may increase when young lean male subjects switch from a four‐ to a three‐meal pattern by removing their usual afternoon meal. This effect could be partly mediated by a change in the macronutrient composition of the diet.