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Jenna was at the airport. She was waiting for her plane. Her plane would leave at 7 p.m. It was only 2 p.m. She had time to eat. She had time to study. She went to the airport restaurant. The restaurant was on the third floor. The restaurant was full. There were no empty seats. There were no empty tables. She didn’t want to stand in line. She didn’t want to wait. There was another restaurant in the airport. It was on the first floor. She went down to the first floor. That restaurant was almost empty. There were many seats and many tables.

Anthony went to the book store. He wanted to buy a book. He wanted to buy a book about bugs. He liked bugs. He picked up bugs in his yard. He took them to school. He showed the bugs to his teacher. His teacher told him the name of each bug. Then Anthony took the bugs home. He showed them to his parents. His mom told him to take the bugs out of the house. His dad liked to see the bugs. He said Anthony did a good job. He gave Anthony money to buy a book. So Anthony took the money to the book store. He looked for a book with lots of pictures of bugs.

Introduction

Nearly 7% of the world population is obese1 and about 66% of the adults in the United States are overweight or obese.2 Obesity is associated with a number of adverse medical conditions including increased risk of gallbladder disease, hypertension, type 2 diabetes mellitus, coronary heart disease (CHD), osteoarthritis, cancer death and reduced life expectancy.3–8 Obesity is also associated with adverse social and psychological consequences, including bias, discrimination and decreased quality of life.9,10

More effective treatment strategies are urgently needed for obesity management. The total caloric intake or energy density of one’s diet appears to be associated with obesity11–14 and a diet that induces a negative energy balance continues to be an important part of obesity management. Strategies to achieve the difficult task of eating less than desired include reduction of the energy density of foods by increasing food volume by the addition of fluids,15,16 bulk17–19 or their combination;20 or by increasing satiety by various anorectic drugs or macronutrient combinations of high satiety value.

Satiety is positively associated with the protein, fiber and water content of foods and negatively with fat and palatability ratings.21,22 However, within food groups, there may be as much as a twofold difference in satiety values, suggesting that certain foods promote greater satiety independent of macronutrient content or energy density. An egg is an example of such a food that has a 50% greater satiety index compared to white bread or ready-to-eat breakfast cereal.21 Compared to an isocaloric bagel breakfast of equal weight, an egg breakfast had a greater satiating effect, which translated into a lower caloric intake at lunch.23 The resulting decrease in energy consumption lasted for at least 24 h after the egg breakfast.

This study was undertaken to exploit the short-term satiating benefits of an egg breakfast23 for weight loss in a longer-term trial. The objectives were to determine if the incorporation of an egg breakfast in the diet by overweight or obese subjects would (1) induce reduced energy intake and unintentional weight loss, even when not attempting weight reduction; or (2) enhance weight loss when following a reduced energy diet. We compared the effects of an egg vs isocaloric bagel breakfast of equal weight on weight loss, indices of body size and composition, dietary compliance, food cravings and health-specific quality of life.Materials and methods

The study was approved by the institutional review boards at Pennington Biomedical Research Center and at Saint Louis University. Written informed consent was obtained from the participants. We certify that all applicable institutional and governmental regulations regarding the ethical use of human volunteers were followed during this research.

Participants

Of the 160 participants enrolled, 8 did not complete the trial. The final study sample included 152 participants (131 women and 21 men; mean age 45.0±9.4 years; black participants 47.7% and white participants 52.3%). Demographic characteristics of the participants are provided inTable 1