• Data Entry and Analysis. Data from returned surveys, including respondent demographic characteristics, practice structure and setting, practice patterns, and attitudes/beliefs will be entered into a database for subsequent analysis. Data will be double-entered and checked for accuracy. Data analysis will consist of establishing psychometric properties of attitude and belief measures, examining frequencies of responses to, individual items, looking for trends across geographic regions, and assessing common approaches to the diagnosis and management of childhood obesity. Moreover, we will analyze the data to determine the relationship of attitudes/beliefs and practice patterns. We anticipate that we will identify a number of important variations in the diagnosis and management of childhood obesity. We also expect to identify a number of personal and systems-related barriers to treatment of childhood obesity. For example, we expect that pediatricians with more recent training will have more optimistic attitudes toward successful management of childhood obesity. We also expect to find variations in reimbursement and clinic resources, and that these will impact pediatricians' approaches.