Developing a digital photography-based method for dietary analysis in self-serve dining settings

Current population-based methods for assessing dietary intake, including food frequency questionnaires, food diaries, and 24-h dietary recall, are limited in their ability to objectively measure food intake. Digital photography has been identified as a promising addition to these techniques but has rarely been assessed in self-serve settings. We utilized digital photography to examine university students' food choices and consumption in a self-serve dining hall setting. Research assistants took pre- and post-photos of students' plates during lunch and dinner to assess selection (presence), servings, and consumption of MyPlate food groups. Four coders rated the same set of approximately 180 meals for inter-rater reliability analyses; approximately 50 additional meals were coded twice by each coder to assess intra-rater agreement. Inter-rater agreement on the selection, servings, and consumption of food groups was high at 93.5%; intra-rater agreement was similarly high with an average of 95.6% agreement. Coders achieved the highest rates of agreement in assessing if a food group was present on the plate (95-99% inter-rater agreement, depending on food group) and estimating the servings of food selected (81-98% inter-rater agreement). Estimating consumption, particularly for items such as beans and cheese that were often in mixed dishes, was more challenging (77-94% inter-rater agreement). Results suggest that the digital photography method presented is feasible for large studies in real-world environments and can provide an objective measure of food selection, servings, and consumption with a high degree of agreement between coders; however, to make accurate claims about the state of dietary intake in all-you-can-eat, self-serve settings, researchers will need to account for the possibility of diners taking multiple trips through the serving line.