- [Korean]
-
Development of 3D Printed Snack-dish for the Elderly with Dementia
-
Ji-Yeon Lee, Cheol-Ho Kim, Kug-Weon Kim, Kyong-Ae Lee, Kwangoh Koh, Hee-Seon Kim
-
Korean J Community Nutr 2021;26(5):327-336. Published online October 31, 2021
-
DOI: https://doi.org/10.5720/kjcn.2021.26.5.327
-
-
 Abstract
 PDF
- Objectives
This study was conducted to create a 3D printable snack dish model for the elderly with low food or fluid intake along with barriers towards eating.
Methods: The decision was made by the hybrid-brainstorming method for creating the 3D model. Experts were assigned based on their professional areas such as clinical nutrition, food hygiene and chemical safety for the creation process. After serial feedback processes, the grape shape was suggested as the final model. After various concept sketching and making clay models, 3D-printing technology was applied to produce a prototype.
Results: 3D design modeling process was conducted by SolidWorks program. After considering Dietary reference intakes for Koreans (KDRIs) and other survey data, appropriate supplementary water serving volume was decided as 285 mL which meets 30% of Adequate intake. To consider printing output conditions, this model has six grapes in one bunch with a safety lid. The FDM printer and PLA filaments were used for food hygiene and safety. To stimulate cognitive functions and interests of eating, numbers one to six was engraved on the lid of the final 3D model.
Conclusions: The newly-developed 3D model was designed to increase intakes of nutrients and water in the elderly with dementia during snack time. Since dementia patients often forget to eat, engraving numbers on the grapes was conducted to stimulate cognitive function related to the swallowing and chewing process. We suggest that investigations on the types of foods or fluids are needed in the developed 3D model snack dish for future studies.
-
Citations
Citations to this article as recorded by  - 3D Printing Technology : Food Tech Analysis
Yuri Kim, Hyun-Jung Yun, Bum-Keun Kim, Hee-Don Choi, Yun-Sang Choi
Resources Science Research.2022; 4(1): 1. CrossRef
-
47
View
-
0
Download
-
1
Crossref
|
KSCN
