Appetitive and Dietary Effects of Consuming an Energy-Dense Food (Peanuts) with or between Meals by Snackers and Nonsnackers.

Background. Energy-dense foods are inconsistently implicated in elevated energy intake (EI). This may stem from other food properties and/or differences in dietary incorporation, that is, as snacks or with meals. Objective. Assess intake pattern and food properties on acute appetitive ratings (AR) and EI. Design. 201 normal and overweight adults consuming a standard lunch. Test loads of 1255.2 kJ (300 kcal) were added to the lunch or provided as snack. Loads (peanuts, snack mix, and snack mix with peanuts) were energy, macronutrient, and volumetrically matched with a lunch portion as control. Participants completed meal and snack sessions of their randomly assigned load. Results. No differences were observed in daily EI or AR for meal versus snack or treatment versus control. Consumption of peanuts as a snack tended to strengthen dietary compensation compared to peanuts or other loads with a meal. Conclusions. Inclusion of an energy-dense food as a snack or meal component had comparable influence on AR and EI. Peanuts tended to elicit stronger dietary compensation when consumed as a snack versus with a meal. If substantiated, this latter observation suggests that properties other than those controlled here (energy, macronutrient content, and volume) modify AR and EI.

Peanut digestion and energy balance.

OBJECTIVE: To explore the effects of peanut consumption on fecal energy excretion with a balanced, non-vegetarian diet. DESIGN: Four arm parallel group design (that is, whole peanut (P), peanut butter (PB), peanut oil (PO) or peanut flour (PF) consumption) with one crossover (control and intervention). SUBJECTS: In total 63 healthy men and women from Ghana, Brazil and USA (N=15-16 per group) with an average body mass index of 21.8 kg m(-2). MEASUREMENTS: Percent fat of fecal wet weight daily energy excretion during the control and the treatment periods. RESULTS: Compared to control, the percentage of fat in the feces increased significantly for the P group (5.22+/-0.29%) relative to the other three groups ((PO=3.07+/-0.36%, PB=3.11+/-0.31% (P=0.001), and PF=3.75+/-0.40% (P=0.019)). The same findings held for kJ g(-1) of feces excreted. During the P supplementation period, the energy excretion was 21.4+/-1.0 kJ g(-1) versus 18.7+/-1.0 kJ g(-1) for PO (P=0.034), 18.8+/-0.7 kJ g(-1) for PB (P=0.042) and 18.5+/-0.8 kJ g(-1) for PF (P=0.028). CONCLUSION: Fecal fat and energy loss is greater with consumption of whole peanuts compared to peanut butter, oil or flour. This may contribute to the less than predicted change of body weight observed with peanut consumption. There were no cultural differences.

Effects of peanut oil consumption on appetite and food choice.

OBJECTIVE: Peanut consumption may improve lipid profiles without promoting weight gain. Both properties have been attributed to their high-unsaturated fat content. Mono and polyunsaturated fatty acids reportedly hold stronger satiety value than saturated fats and may help appetite control. This study investigated the effects of chronic peanut oil consumption on appetite and food choice. RESEARCH METHODS AND PROCEDURES: A total of 129 healthy adults from three countries (Brazil, Ghana and US) were randomly assigned to one of four treatment arms: consumption of peanut oil, olive oil or safflower oil as 30% of individual resting energy expenditure (REE) for 8 weeks or no dietary intervention. Participants received no other dietary guidance. They completed appetite questionnaires eliciting information about hunger, fullness, desire to eat, and prospective consumption during all waking hours for 1 day at weeks 2 and 6 and for 1 or 3 days at weeks 0, 4 and 8. Diet records were completed at weeks 0, 4 and 8. RESULTS: No differences in appetitive ratings were observed over the 8-week trial. There were no significant treatment by time interactions. Total caloric intake was significantly higher at week 8 relative to baseline (F=10.08, P<0.05). The increases for each treatment were: peanut oil=197+/-114; olive oil=237+/-121; safflower oil=274+/-90; control=75+/-71. Free-feeding intake, an index of dietary compensation, was reduced significantly at weeks 4 and 8 compared to baseline (F=9.08, P<0.00). The declines (compensation scores) were (kcals): peanut oil=-208+/-105 (46%); olive oil=-235+/-105 (50%); safflower oil=-186+/-102 (44%). There were no significant differences across countries in appetite ratings. DISCUSSION: A prior intervention with whole peanuts reported a dietary compensation score of 66% over 8 weeks, this compares to a 46% compensation score observed with peanut oil. Our data suggests that the lipid fraction in peanuts elicits a weak effect on satiety.

Within-person variation in daily dietary intake of boys from Finland, the Netherlands, Italy, the Philippines and Ghana.

We have studied the within-person variation in daily dietary intake of energy, protein, fat, carbohydrate, cholesterol, saturated and polyunsaturated fatty acids in 8- and 9-year-old boys from five countries, using record and recall methods of dietary assessment. The average within-person coefficients of variation ranged from 19 to 31 per cent of the mean intake of energy, protein and carbohydrate; from 43 to 77 per cent of the mean intake of cholesterol, from 28 to 50 per cent of the mean intake of saturated fatty acids, and from 37 to 105 per cent of the mean intake of polyunsaturated fatty acids. Some of this variation may have been due to differences in the methods used to assess dietary intake. The day of the week on which food intake is estimated can also influence the number of measurements required to estimate precisely an individual's intake of energy or specific nutrients. From the results of this study it can be shown that it is not always justified to assume that every person in a population has the same within-person variance. This may lead to an underestimation of the number of measurements needed to estimate individual intakes. The results of this study are useful in the planning of dietary surveys when decisions are to be made about methods of data collection, sample size and length of the study, and also in the analysis and interpretation of the results of dietary surveys.