NUTRIFY: A Meal Planner App for Diabetics

Dr. Shaneth C. Ambat

FEU Institute of Technology, Program Director, P. Paredes St., Sampaloc, Manila

Corresponding Author:1scambat@feutech.edu.ph

Justine Rose R. Cale

FEU Institute of Technology, Student, P. Paredes St., Sampaloc, Manila

Corresponding Author:jstnrosecale@gmail.com

Czarina G. Castillo

BSCSSE Student, FEU Institute of Technology, P. Paredes St., Sampaloc, Manila

Corresponding Author:castilloczarina@gmail.com

Oliber M. De Leon

FEU Institute of Technology, Student, P. Paredes St., Sampaloc, Manila

Corresponding Author:oliber.deleon18@gmail.com

Royce Christian N. Esguerra

FEU Institute of Technology, Student, P. Paredes St., Sampaloc, Manila

Corresponding Author:royceesguerra@gmail.com

May Florence D. San Pablo

FEU Institute of Technology, Faculty, P. Paredes St., Sampaloc, Manila

Corresponding Author:mdsanpablo@feutech.edu.ph

Dr. Hadji J. Tejuco

FEU Institute of Technology, Faculty, P. Paredes St., Sampaloc, Manila

Corresponding Author:hjtejuco@feutech.edu.ph

Abstract :

The Philippines has a high rate of diabetes cases that is sometimes caused by bad eating habits and poor lifestyle. A good eating practice is to have three meals in a day and two snacks between each meal to properly distribute the needed nutrients. The researchers have developed an application entitled “Nutrify” to help people diagnosed with Type 2 Diabetes (T2D) in planning their meal. The meal plan contains the calorie and macronutrient distribution. The decision-tree algorithm is responsible for the changes in the meals computed by the application, appropriately distribute the macronutrients, and optimize the plan's validity. The survey conducted shows that for all the participants' responses, the respondents are very satisfied with the application having a score of 4.62. However, results from the paired t-test could not prove the effectiveness of the application in managing the user's weight due to the short period to produce statistically significant results. In conclusion, the researchers have developed an application that will generate a meal plan and create a dietary goal for the user in order to help the user to stay healthy and avoid their existing health conditions becoming worse.

Reference

[1] Alberta Diabetes Link. 2018. Healthy Eating for Weight and Diabetes Management. https://albertadiabeteslink.ca/process.php?docname=Healthy-Eating-for-Weight-and-Diabetes-Management-2018.pdf

[2] Angeles-Agdeppa, I. 2020. Food and Nutrient Intake of Filipinos with Diabetes. Journal of Food and Nutrition Research, 8(6), 258–267. https://doi.org/10.12691/jfnr-8-6-3

[3] Bauer, J. 2003. The 90/10 Weight-Loss Plan: A Scientifically Designed Balance of Healthy Foods and Fun Foods (First ed.). St. Martin’s Griffin

[4] Evert, A. B., Dennison, M., Gardner, C. D., Garvey, W. T., Lau, K. H., MacLeod, J., Mitri, J., Pereira, R. F., Rawlings, K., Robinson, S., Saslow, L., Uelmen, S., Urbanski, P. B., & Yancy, W. S. 2019. Nutrition Therapy for Adults with Diabetes or Prediabetes: A Consensus Report. Diabetes Care, 42(5), 731–754. https://doi.org/10.2337/dci19-0014

[5] Fontanilla, J. A. C. 2016. Eat to Live or Live to Eat? Philippine Center for Diabetes Education Foundation, Inc. (Diabetes Center Philippines). http://www.pcdef.org/article-of-the-month-july-2016

[6] Harding, J. L., Pavkov, M. E., Magliano, D. J., Shaw, J. E., & Gregg, E. W. 2018. Global trends in diabetes complications: a review of current evidence. Diabetologia, 62(1), 3–16. https://doi.org/10.1007/s00125-018-4711-2

[7] How better nutrition can prevent diabetes. 2020, November 5. Sun Life Philippines. https://www.sunlife.com.ph/en/life-goals/nurture-your-health/how-betternutrition-can-pr event-diabetes/

[8] Li, Y., CAO, H. 2016. Healthy Diet Personalized Recommendation Algorithm Based on Dietary Records. Computer Science and Technology. https://doi.org/10.1142/9789813146426_0072

[9] Lopez-Madrid, M. M., Acuin, C. C. S., Orense, C. L., Duante, C. A., Tan, R. C. A., & Capanzana, M. V. 2018, September. Awareness of and Adherence to the Food Based Dietary Guidelines Among Household Meal Planners in the Philippines. Philippine Journal of Science. https://philjournalsci.dost.gov.ph/ home-1/78-vol-147-no-3-september-2018/821-awarenes s-of-and-adherence-to-the-food-based-dietary-guidelines- among-household-meal-planners-in-the-philippines

[10] Mohammed, H. A., & Hagras, H. 2018. Towards Developing Type 2 Fuzzy Logic Diet Recommendation System for Diabetes. 2018 10th Computer Science and Electronic Engineering (CEEC). https://doi.org/10.1109/ceec.2018.8674186

[11] Palanog, A. D., Calayugan, M. I. C., Descalsota-Empleo, G. I., Amparado, A., Inabangan-Asilo,M. A., Arocena, E. C., Sta. Cruz, P. C., Borromeo, T. H., Lalusin, A., Hernandez, J. E., Acuin, C., Reinke, R., & Swamy, B. P. M. 2019. Zinc and Iron Nutrition Status in the Philippines Population and Local Soils. Frontiers in Nutrition, 6. https://doi.org/10.3389/fnut.2019.00081

[12] Ramallosa, I. D. 2018, June. MEAL PLANNING FOR DIABETICS. Philippine Center for Diabetes Education (Diabetes Center Philippines). http://www.pcdef.org/article-of-the-month-june-2018

[13] Saeedi, P., Petersohn, I., Salpea, P., Malanda, B., Karuranga, S., Unwin, N., Colagiuri, S., Guariguata, L., Motala, A. A., Ogurtsova, K., Shaw, J. E., Bright, D., & Williams, R. 2019. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Research and Clinical Practice, 157, 107843. https://doi.org/10.1016/j.diabres.2019.107843

[14] Wanjiru, J.M. 2018. Understanding the types and causes of diabetes mellitus. International Journal of Biology, 3, 202-207

© The Author(s), under exclusive license to Technoarete Publishers 2022
  • ISBN - 978-93-92104-06-0
  • Instant PDF download
  • Readable on all devices
doi.org/10.36647/AAIMLH/2022.01.B1.Ch009