Assessing Dietary and Behavioral Predictors of Weight Gain and Obesity using Computerized Adaptive Testing: Development of the E-Health Collaborative Consortium
Accurate assessment of unhealthy eating and lifestyle patterns prior to development of obesity could serve as a valuable tool in providing healthcare professionals with opportunities for early interventions to potentially prevent later health problems. Traditional measures of physical activity and dietary intake usually rely on information provided through self-report instruments, which are subject to a number of problems, including measurement error and relatively poor reliability. Although biomarkers such as Doubly-Labeled Water and urinary nitrogen can be used to provide a relatively accurate means of assessing energy expenditure and overall protein intake, these assessments are too costly and time consuming for widespread use. There is a critical need for brief, accurate, and economical strategies that can be used in routine clinical practice to assess behaviors predictive of weight gain and obesity development. This project will develop and validate a computerized adaptive mobile phone application to identify and assess behavioral predictors of weight gain.