Comparative Performance of Machine Learning Models Using Food Intake Frequency Versus Vegetable Intake Data to Predict Problematic Mealtime Behaviour in Japanese Preschool Children
References
- Machado BC, Dias P, Lima VS, Campos J, Gonçalves S. Prevalence and correlates of picky eating in preschool-aged children: A population-based study. Eat Behav. 2016;22:16–21. doi:10.1016/j.eatbeh.2016.03.035
- Fernandez C, DeJesus JM, Miller AL, Appugliese DP, Rosenblum KL, Lumeng JC, Pesch MH. Selective eating behaviors in children: An observational validation of parental report measures. Appetite. 2018;127:163–170. doi:10.1016/j.appet.2018.04.028
- Taylor CM, Wernimont SM, Northstone K, Emmett PM. Picky/fussy eating in children: Review of definitions, assessment, prevalence and dietary intakes. Appetite. 2015;95:349–359. doi:10.1016/j.appet.2015.07.026
- Taylor CM, Emmett PM. Picky eating in children: causes and consequences. Proc Nutr Soc. 2019;78(2):161–169. doi:10.1017/S0029665118002586
- Samuel TM, Musa-Veloso K, Ho M, Venditti C, Shahkhalili-Dulloo Y. A narrative review of childhood picky eating and its relationship to food intakes, nutritional status, and growth. Nutrients. 2018;10(12):1992. doi:10.3390/nu10121992
- Sandvik P, Ek A, Eli K, Somaraki M, Bottai M, Nowicka P. Picky eating in an obesity intervention for preschool-aged children— what role does it play, and does the measurement instrument matter? Int J Behav Nutr Phys Act. 2019;16(1):76. doi:10.1186/s12966-019-0845-y
- Kamarudin MS, Shahril MR, Haron H, et al. Interventions for picky eaters among typically developed children: A scoping review. Nutrients. 2023;15(1):242. doi:10.3390/nu15010242
- Kwok FY, Ho YY, Chow CM, So CY, Leung TF. Assessment of nutrient intakes of picky-eating Chinese preschoolers using a modified food frequency questionnaire. World J Pediatr. 2013;9(1):58–63. doi:10.1007/s12519-012-0386-9
- Taylor CM, Northstone K, Wernimont SM, Emmett PM. Picky eating in preschool children: Associations with dietary fibre intakes and stool hardness. Appetite. 2016;100:263–271. doi:10.1016/j.appet.2016.02.021
- Destriatania S, Februhartanty J, Nurwidya F, Sekartini R. Feeding problems assessment tools in children: A scoping review. Children (Basel). 2024;12(1):37. doi:10.3390/children12010037
- Estrem HH, Park J, Thoyre S, McComish C, McGlothen-Bell K. Mapping the gaps: A scoping review of research on pediatric feeding disorder. Clin Nutr ESPEN. 2022;48:45–55. doi:10.1016/j.clnesp.2021.12.028
- Kirk D, Kok E, Tufano M, Tekinerdogan B, Feskens EJM, Camps G. Machine learning in nutrition research. Adv Nutr. 2022;13(6):2573–2589. doi:10.1093/advances/nmac103
- Theodore Armand TP, Nfor KA, Kim JI, Kim HC. Applications of artificial intelligence, machine learning, and deep learning in nutrition: A systematic review. Nutrients. 2024;16(7):1073. doi:10.3390/nu16071073
- Li W, Peng Y, Peng K. Diabetes prediction model based on GA-XGBoost and stacking ensemble algorithm. PLoS One. 2024;19(9):e0311222. doi:10.1371/journal.pone.0311222
- Ishikawa M, Eto K, Miyoshi M, et al. Parent-child cooking meal together may relate to parental concerns about the diets of their toddlers and preschoolers: a cross-sectional analysis in Japan. Nutr J. 2019;18(1):76. doi:10.1186/s12937-019-0480-0
- Nakaoka K, Tanba H, Yuri T, Tateyama K, Kurasawa S. Convergent validity of the Autism Spectrum Disorder Mealtime Behavior Questionnaire (ASD-MBQ) for children with autism spectrum disorder. PLoS One. 2022;17(4):e0267181. doi:10.1371/journal.pone.0267181
- Nakaoka K, Takabatake S, Tateyama K, et al. Structural validity of the Mealtime Behaviour Questionnaire for children with autism spectrum disorder in Japan. J Phys Ther Sci. 2020;32(5):352–358. doi:10.1589/jpts.32.352
- Nakaoka K, Tateyama K, Yuri T, Harada S, Takabatake S. Predictive validity and cut-off score of the Mealtime Behavior Questionnaire for children with autism spectrum disorder. Res Autism Spectr Disord. 2024;10102290. doi:10.1016/j.rasd.2024.10102290
- Wu X, Zhai F, Chang A, et al. Development of machine learning models for predicting osteoporosis in patients with type 2 diabetes mellitus: A preliminary study. Diabetes Metab Syndr Obes. 2023;16:1987–2003. doi:10.2147/DMSO.S406695
- Tjeerd van der Ploeg T, Austin PC, Steyerberg EW. Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints. BMC Med Res Methodol. 2014;14:137. doi:10.1186/1471-2288-14-137
- Austin PC, Steyerberg EW. Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models. Stat Methods Med Res. 2017;26(2):796–808. doi:10.1177/0962280214558972
- Długoński Ł, Skotnicka M, Zborowski M, et al. The relationship between the level of food neophobia and children's attitudes toward selected food products. Nutrients. 2025;17(8):1347. doi:10.3390/nu17081347
- Chaudhary P, Sharma A, Singh B, Nagpal AK. Bioactivities of phytochemicals present in tomato. J Food Sci Technol. 2018;55(8):2833–2849. doi:10.1007/s13197-018-3221-z
- Ahern SM, Caton SJ, Bouhlal S, et al. Eating a rainbow: Introducing vegetables in the first years of life in 3 European countries. Appetite. 2013;71:48–56. doi:10.1016/j.appet.2013.07.005
- Cooke L, Carnell S, Wardle J. Food neophobia and mealtime food consumption in 4–5 year old children. Int J Behav Nutr Phys Act. 2006;3:14. doi:10.1186/1479-5868-3-14
- Nekitsing C, Hetherington MM, Blundell-Birtill P. Developing healthy food preferences in preschool children through taste exposure, sensory learning, and nutrition education. Curr Obes Rep. 2018;7(1):60–67. doi:10.1007/s13679-018-0297-8
- Dazeley P, Houston-Price C. Exposure to foods' non-taste sensory properties: A nursery intervention to increase children's willingness to try fruit and vegetables. Appetite. 2015;84:1–6. doi:10.1016/j.appet.2014.08.040
- Firme JN, de Almeida PC, Dos Santos EB, Zandonadi RP, Raposo A, Botelho RBA. Instruments to evaluate food neophobia in children: An integrative review with a systematic approach. Nutrients. 2023;15(22):4769. doi:10.3390/nu15224769.
DOI: https://doi.org/10.34763/jmotherandchild.20263001.d-25-00036 | Journal eISSN: 2719-535X | Journal ISSN: 2719-6488
Language: English
Page range: 106 - 115
Submitted on: Sep 10, 2025
Accepted on: Dec 5, 2025
Published on: Jun 8, 2026
Published by: Institute of Mother and Child, Warsaw, Poland
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
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© 2026 Naoki Sakane, Yaeko Kawaguchi, Junichiro Somei, Akiko Suganuma, Masayuki Domichi, published by Institute of Mother and Child, Warsaw, Poland
This work is licensed under the Creative Commons Attribution 4.0 License.