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Record W4240642356 · doi:10.21009/141.09

The Implementation of Eating Healthy Program in Early Childhood

2020· article· en· W4240642356 on OpenAlexaboutno aff
Fitria Budi Utami

Bibliographic record

VenueJPUD - Jurnal Pendidikan Usia Dini · 2020
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

Eating habits develop during the first years of a child's life, children learn what, when, and how much to eat through direct experience with food and by observing the eating habits of others. The aim of this study is to get a clear picture of the Eating program Healthy, starting from the planning, implementation, supervision, and evaluation as a case study of nutrition education; to get information about the advantages, disadvantages and effects of implementing a healthy eating program for children. This research was conducted through a case study with qualitative data analysed using Miles and Huberman techniques. Sample of children in Ananda Islāmic School Kindergarten. The results showed the Healthy Eating program could be implemented well, the diet was quite varied and could be considered a healthy and nutritious food. The visible impact is the emotion of pleasure experienced by children, children become fond of eating vegetables, and make children disciplined and responsible. Inadequate results were found due to the limitations of an adequate kitchen for cooking healthy food, such as cooking activities still carried out by the cook himself at the Foundation's house which is located not far from the school place; use of melamine and plastic cutlery for food; the spoon and fork used already uses aluminium material but still does not match its size; does not involve nutritionists. Keywords: Early Childhood, Eating Healthy Program References: Bandura, A. (1977). Social learning theory. Englewood Cliffs: Prentice-Hall. Bandura, Albert. (2004). Health promotion by social cognitive means. Health Education and Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660 Battjes-Fries, M. C. E., Haveman-Nies, A., Renes, R. J., Meester, H. J., & Van’T Veer, P. (2015). Effect of the Dutch school-based education programme “Taste Lessons” on behavioural determinants of taste acceptance and healthy eating: A quasi-experimental study. Public Health Nutrition, 18(12), 2231–2241. https://doi.org/10.1017/S1368980014003012 Birch, L., Savage, J. S., & Ventura, A. (2007). Influences on the Development of Children’s Eating Behaviours: From Infancy to Adolescence. Canadian Journal of Dietetic Practice and Research : A Publication of Dietitians of Canada = Revue Canadienne de La Pratique et de La Recherche En Dietetique : Une Publication Des Dietetistes Du Canada, 68(1), s1– s56. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/19430591%0Ahttp://www.pubmedcentral.nih.gov/a rticlerender.fcgi?artid=PMC2678872 Coulthard, H., Williamson, I., Palfreyman, Z., & Lyttle, S. (2018). Evaluation of a pilot sensory play intervention to increase fruit acceptance in preschool children. Appetite, 120, 609–615. https://doi.org/10.1016/j.appet.2017.10.011 Coulthard, Helen, & Sealy, A. (2017). Play with your food! Sensory play is associated with tasting of fruits and vegetables in preschool children. Appetite, 113, 84–90. https://doi.org/10.1016/j.appet.2017.02.003 Crain, W. C. (2005). Theories of development: Concepts and applications. Upper Saddle River: Pearson Prentice Hall. Dazeley, P., Houston-Price, C., & Hill, C. (2012). Should healthy eating programmes incorporate interaction with foods in different sensory modalities? A review of the evidence. British Journal of Nutrition, 108(5), 769–777. https://doi.org/10.1017/S0007114511007343 Derscheid, L. E., Umoren, J., Kim, S. Y., Henry, B. W., & Zittel, L. L. (2010). Early childhood teachers’ and staff members’ perceptions of nutrition and physical activity practices for preschoolers. Journal of Research in Childhood Education, 24(3), 248–265. https://doi.org/10.1080/02568543.2010.487405 Eliassen, E. K. (2011). The impact of teachers and families on young children’s eating behaviors. YC Young Children, 66(2), 84–89. Elliott, E., Isaacs, M., & Chugani, C. (2010). Promoting Self-Efficacy in Early Career Teachers: A Principal’s Guide for Differentiated Mentoring and Supervision. Florida Journal of Educational Administration & Policy, 4(1), 131–146. Emm, S., Harris, J., Halterman, J., Chvilicek, S., & Bishop, C. (2019). Increasing Fruit and Vegetable Intake with Reservation and Off-reservation Kindergarten Students in Nevada. Journal of Agriculture, Food Systems, and Community Development, 9, 1–10. https://doi.org/10.5304/jafscd.2019.09b.014 Flynn, M. A. T. (2015). Empowering people to be healthier: Public health nutrition through the Ottawa Charter. Proceedings of the Nutrition Society, 74(3), 303–312. https://doi.org/10.1017/S002966511400161X Franciscato, S. J., Janson, G., Machado, R., Lauris, J. R. P., de Andrade, S. M. J., & Fisberg, M. (2019). Impact of the nutrition education Program Nutriamigos® on levels of awareness on healthy eating habits in school-aged children. Journal of Human Growth and Development, 29(3), 390–402. https://doi.org/10.7322/jhgd.v29.9538 Froehlich Chow, A., & Humbert, M. L. (2014). Perceptions of early childhood educators: Factors influencing the promotion of physical activity opportunities in Canadian rural care centers. Child Indicators Research, 7(1), 57–73. https://doi.org/10.1007/s12187-013-9202-x Graham, H., Feenstra, G., Evans, A. M., & Zidenberg-Cherr, S. (2002). Healthy Eating Habits in Children. California Agriculture, 58(4), 200–205. Gucciardi, E., Nagel, R., Szwiega, S., Chow, B. Y. Y., Barker, C., Nezon, J., ... Butler, A. (2019). Evaluation of a Sensory-Based Food Education Program on Fruit and V egetable Consumption among Kindergarten Children. Journal of Child Nutrition & Management, 43(1). Holley, C. E., Farrow, C., & Haycraft, E. (2017). A Systematic Review of Methods for Increasing Vegetable Consumption in Early Childhood. Current Nutrition Reports, 6(2), 157–170. https://doi.org/10.1007/s13668-017-0202-1 Hoppu, U., Prinz, M., Ojansivu, P., Laaksonen, O., & Sandell, M. A. (2015). Impact of sensory- based food education in kindergarten on willingness to eat vegetables and berries. Food and Nutrition Research, 59, 1–8. https://doi.org/10.3402/fnr.v59.28795 Jarpe-Ratner, E., Folkens, S., Sharma, S., Daro, D., & Edens, N. K. (2016). An Experiential Cooking and Nutrition Education Program Increases Cooking Self-Efficacy and Vegetable Consumption in Children in Grades 3–8. Journal of Nutrition Education and Behavior, 48(10), 697-705.e1. https://doi.org/10.1016/j.jneb.2016.07.021 Jones, A. M., & Zidenberg-Cherr, S. (2015). Exploring Nutrition Education Resources and Barriers, and Nutrition Knowledge in Teachers in California. Journal of Nutrition Education and Behavior, 47(2), 162–169. https://doi.org/10.1016/j.jneb.2014.06.011 Jung, T., Huang, J., Eagan, L., & Oldenburg, D. (2019). Influence of school-based nutrition education program on healthy eating literacy and healthy food choice among primary school children. International Journal of Health Promotion and Education, 57(2), 67–81. https://doi.org/10.1080/14635240.2018.1552177 Lwin, M. O., Malik, S., Ridwan, H., & Sum Au, C. S. (2017). Media exposure and parental mediation on fast-food consumption among children in metropolitan and suburban Indonesian. Asia Pacific Journal of Clinical Nutrition, 26(5), 899–905. https://doi.org/10.6133/apjcn.122016.04 Mc Kenna, & L, M. (2010). Policy Options to Support Healthy Eating in Schools. Canadian Journal of Public Health, 101(2), S14–S18. https://doi.org/10.1007/BF03405619 Menkes, R. PERATURAN MENTERI KESEHATAN REPUBLIK INDONESIA NOMOR 41 TAHUN 2014. , Menteri Kesehatan Republik Indonesia § (2014). Mitsopoulou, A. V., Magriplis, E., Dimakopoulos, I., Karageorgou, D., Bakogianni, I., Micha, R., ... Zampelas, A. (2019). Association of meal and snack patterns with micronutrient intakes among Greek children and adolescents: data from the Hellenic National Nutrition and Health Survey. Journal of Human Nutrition and Dietetics, 32(4), 455–467. https://doi.org/10.1111/jhn.12639 Moffitt, A. (2019). Early Childhood Educators and the Development of Family Literacy Programs: A Qualitative Case Study. ProQuest Dissertations and Theses, 96. Retrieved from http://proxy.mul.missouri.edu/login?url=https://search.proquest.com/docview/2242479347 ?accountid=14576%0Ahttps://library.missouri.edu/findit?genre=dissertations+%26+theses &title=Early+Childhood+Educators+and+the+Development+of+Family+Literacy+Progra ms%3A+ Mustonen, S., & Tuorila, H. (2010). Sensory education decreases food neophobia score and encourages trying unfamiliar foods in 8-12-year-old children. Food Quality and Preference, 21(4), 353–360. https://doi.org/10.1016/j.foodqual.2009.09.001 Myszkowska-Ryciak, J., & Harton, A. (2019). Eating healthy, growing healthy: Outcome evaluation of the nutrition education program optimizing the nutritional value of preschool menus, Poland. Nutrients, 11(10), 1–17. https://doi.org/10.3390/nu11102438 Nekitsing, C., Hetherington, M. M., & Blundell-Birtill, P. (2018). Developing Healthy Food Preferences in Preschool Children Through Taste Exposure, Sensory Learning, and Nutrition Education. Current Obesity Reports, 7(1), 60–67. https://doi.org/10.1007/s13679- 018-0297-8 Noura, M. S. pd. (2018). Child nutrition programs in kindergarten schools implemented by the governmental sector and global nutrition consulting companies: A systematic review. Current Research in Nutrition and Food Science, 6(3), 656–663. https://doi.org/10.12944/CRNFSJ.6.3.07 Oh, S. M., Yu, Y. L., Choi, H. I., & Kim, K. W. (2012). Implementation and Evaluation of Nutrition Education Programs Focusing on Increasing Vegetables, Fruits and Dairy Foods Consumption for Preschool Chi

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.366
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2020
Admission routes1
Has abstractyes

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