The present disclosure relates to a method for identifying latent obesity, and may include the steps of providing a user with an orientation assessment questionnaire configured to measure a plurality of independent orientation parameters, including perception orientation, conception orientation, and behavioral orientation; providing the user with an obesity assessment questionnaire configured to measure health characteristics, including personal health history, current health, and awareness of personal health; receiving user input in response to the orientation assessment questionnaire and the obesity assessment questionnaire; for each of the independent orientation parameters, computing a corresponding orientation metric according to the user input in response to the orientation assessment questionnaire; for each of a plurality of health characteristics, computing a corresponding health metric according to the user input in response to the obesity assessment questionnaire; in accordance with the computed orientation metrics and the computed health metrics, determining a latent obesity type for the user and an obesity probability projection for the user; in accordance with the determined latent obesity type and the obesity probability projection, generating an obesity mitigation action plan with a plurality of steps; and displaying the action plan on a display.