On the food spectrum, there seem to be two opposite extremes, obesity and eating disorders. Most people would classify their eating behavior as normal or between these two extremes. However, these two conditions are still prevalent in today's society. Although rare, eating disorders and obesity have a long history of origin. These conditions, while requiring attention and response, have created other concepts and theories. Moderation theory is one that comes from minds curious about different eating behaviors. Through the progression of theory, many dependent variables have been tested to see effects on dietary restraint. However, the link with the consumption of carbonated or sugary drinks has not yet been studied. There may be a connection between obesity, eating disorders, restricted eating and consumption of carbonated or sugary drinks. Obesity is now a medical condition in which excess body fat causes adverse medical, physical and emotional problems. People are considered obese when their body mass index (BMI) is above 30 kg/m2. Body mass index is calculated by dividing a person's weight in kilograms by the square of the person's height in meters. Obesity was originally seen as the body's natural response to store fat to survive during harsh times of famine. “This ability to store excess fat from as little food as possible may have made the difference between life and death, not only for the individual but also, more importantly, for the species. Those who could easily store fat had an evolutionary advantage in the harsh environment of early hunters and gatherers” (Eknoyan. G, A History of Obesity…). Those who were obese were considered superior, even if statues were modeled after them. The best... middle of paper... are preparing for spring break, going to the beach and other summer activities. They may go on a diet or reduce their daily food intake to look good in time for social outings. The study will last approximately 1.5 hours and some subjects may drop out because they no longer want to participate in the study. In addition to reliability and threats to validity, the concern of power is an important factor in this study. A power analysis is used to determine the sample size needed to produce an ideal effect size. To have an efficient amount of power, we would need an effective sample size and a set alpha coefficient. For our panel to be optimally powered, we need an average sample size (n) of between 70 and 80 people. Since there will be 5 members in the group, if each person includes 14-16 participants, the sample size should be sufficient to power the experiment.