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This definition is consistent with observed data on childhood 17-DMAG (Alvespimycin) HCl friendship networks,[34, 35] and may serve as an appropriate comparison group for children's development of body image norms. Table?1 reports the results from regressing the children's ideal body image on mean actual body image of other children within their network. The mean body image of children within one's network had a significant effect on self-reported ideal body image, controlling for one's own body image, age, and gender. These findings are consistent with our hypothesis that individuals calculate their ideal body image based on the mean BMI of their peers. Although limited to self-report data, these results add support to the assumption that individuals desire to conform to the mean BMI of their peers. Nevertheless, we would like the model to incorporate the possibility that individuals may calculate this mean with some error, or be satisfied with a BMI within some distance of their ideal. In the next section, we introduce this type of satisficing behavior into the model and explore its impact I-BET151 supplier on dynamics of BMI change. To remain consistent with the best available evidence, the model must account for some misperception of BMI and/or falloff in motivation to conform within a certain proximity of the true average. For instance, studies of dieting behavior among U.S. adults suggest some level of error in weight perception[26, 36] and that likelihood of dieting increases with body weight.[37] Whether driven by cognitive bias, by information-processing limitations, or by indifference to small discrepancies, the implication is that smaller deviations from the average BMI of peers may not yield the same motivation to adjust weight status as larger deviations. Examining the data from QeF we find that even when respondents report that their actual and ideal body images are unequal, this does not always translate into an effort to gain or lose weight (Fig.?2). To incorporate this more realistic behavior into the model, we initialize each agent with a satisficing rule. Under this rule, an agent j will attempt to gain or lose weight only if the difference between his or her actual BMI (BMIj) and ideal BMI (Ij) is greater than some specified magnitude (��). We then define agent j's satisfaction interval selleck inhibitor (SI) as any body weight in the interval [Ij �C ��, Ij + ��]. Thus the agent's decision rule becomes: ��If BMIj > Ij + ��, lose weight; if BMIj