MaestraNatura Reveals Its Effectiveness in Acquiring Nutritional Knowledge and Skills: Bridging the Gap between Girls and Boys from Primary School
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Ethical Aspects
2.3. Procedure
2.4. Statistical Analysis
3. Results
3.1. Evaluation of the Improvement in Knowledge Obtained by the “Why Do We Have to Eat?” Path with Respect to a ‘Traditional’ Nutrition Education Intervention
3.2. Weekly Food Plan Organisation
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Daines, C.L.; Hansen, D.; Novilla, M.L.B.; Crandall, A. Effects of positive and negative childhood experiences on adult family health. BMC Public Health 2021, 21, 651. [Google Scholar] [CrossRef]
- Stok, F.M.; Renner, B.; Clarys, P.; Lien, N.; Lakerveld, J.; Deliens, T. Understanding Eating Behavior during the Transition from Adolescence to Young Adulthood: A Literature Review and Perspective on Future Research Directions. Nutrients 2018, 10, 667. [Google Scholar] [CrossRef] [Green Version]
- Lobstein, T.; Jackson-Leach, R.; Moodie, M.L.; Hall, K.D.; Gortmaker, S.L.; Swinburn, B.A.; James, W.P.; Wang, Y.; McPherson, K. Child and adolescent obesity: Part of a bigger picture. Lancet 2015, 385, 2510–2520. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ward, Z.J.; Long, M.W.; Resch, S.C.; Giles, C.M.; Cradock, A.L.; Gortmaker, S.L. Simulation of Growth Trajectories of Childhood Obesity into Adulthood. N. Engl. J. Med. 2017, 377, 2145–2153. [Google Scholar] [CrossRef] [PubMed]
- Juonala, M.; Magnussen, C.G.; Berenson, G.S.; Venn, A.; Burns, T.L.; Sabin, M.A.; Srinivasan, S.R.; Daniels, S.R.; Davis, P.H.; Chen, W.; et al. Childhood adiposity, adult adiposity, and cardiovascular risk factors. N. Engl. J. Med. 2011, 365, 1876–1885. [Google Scholar] [CrossRef] [Green Version]
- Li, S.; Chen, W.; Srinivasan, S.R.; Xu, J.; Berenson, G.S. Relation of childhood obesity/cardiometabolic phenotypes to adult cardiometabolic profile: The Bogalusa Heart Study. Am. J. Epidemiol. 2012, 176 (Suppl. S7), S142–S149. [Google Scholar] [CrossRef]
- Tirosh, A.; Shai, I.; Afek, A.; Dubnov-Raz, G.; Ayalon, N.; Gordon, B.; Derazne, E.; Tzur, D.; Shamis, A.; Vinker, S.; et al. Adolescent BMI trajectory and risk of diabetes versus coronary disease. N. Engl. J. Med. 2011, 364, 1315–1325. [Google Scholar] [CrossRef] [Green Version]
- Baker, J.L.; Olsen, L.W.; Sorensen, T.I. Childhood body-mass index and the risk of coronary heart disease in adulthood. N. Engl. J. Med. 2007, 357, 2329–2337. [Google Scholar] [CrossRef]
- Arganini, C.; Saba, A.; Comitato, R.; Virgili, F.; Turrini, A. Gender Differences in Food Choice and Dietary Intake in Modern Western Societies. In Public Health—Social and Behavioral Health; Maddock, J., Ed.; IntechOpen: London, UK, 2012. [Google Scholar] [CrossRef] [Green Version]
- Grzymislawska, M.; Puch, E.A.; Zawada, A.; Grzymislawski, M. Do nutritional behaviors depend on biological sex and cultural gender? Adv. Clin. Exp. Med. 2020, 29, 165–172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rogers, N.T.; Cummins, S.; Forde, H.; Jones, C.P.; Mytton, O.; Rutter, H.; Sharp, S.J.; Theis, D.; White, M.; Adams, J. Associations between trajectories of obesity prevalence in English primary school children and the UK soft drinks industry levy: An interrupted time series analysis of surveillance data. PLoS Med. 2023, 20, e1004160. [Google Scholar] [CrossRef] [PubMed]
- Racey, M.; O’Brien, C.; Douglas, S.; Marquez, O.; Hendrie, G.; Newton, G. Systematic Review of School-Based Interventions to Modify Dietary Behavior: Does Intervention Intensity Impact Effectiveness? J. Sch. Health 2016, 86, 452–463. [Google Scholar] [CrossRef] [PubMed]
- Langford, R.; Bonell, C.; Komro, K.; Murphy, S.; Magnus, D.; Waters, E.; Gibbs, L.; Campbell, R. The Health Promoting Schools Framework: Known Unknowns and an Agenda for Future Research. Health Educ. Behav. 2017, 44, 463–475. [Google Scholar] [CrossRef] [PubMed]
- Ho, T.J.H.; Cheng, L.J.; Lau, Y. School-based interventions for the treatment of childhood obesity: A systematic review, meta-analysis and meta-regression of cluster randomised controlled trials. Public Health Nutr. 2021, 24, 3087–3099. [Google Scholar] [CrossRef]
- Nekitsing, C.; Blundell-Birtill, P.; Cockroft, J.E.; Hetherington, M.M. Systematic review and meta-analysis of strategies to increase vegetable consumption in preschool children aged 2–5 years. Appetite 2018, 127, 138–154. [Google Scholar] [CrossRef] [PubMed]
- Rosario, R.; Araujo, A.; Padrao, P.; Lopes, O.; Moreira, A.; Abreu, S.; Vale, S.; Pereira, B.; Moreira, P. Impact of a school-based intervention to promote fruit intake: A cluster randomized controlled trial. Public Health 2016, 136, 94–100. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Cai, L.; Wu, Y.; Wilson, R.F.; Weston, C.; Fawole, O.; Bleich, S.N.; Cheskin, L.J.; Showell, N.N.; Lau, B.D.; et al. What childhood obesity prevention programmes work? A systematic review and meta-analysis. Obes. Rev. 2015, 16, 547–565. [Google Scholar] [CrossRef] [Green Version]
- Hamulka, J.; Wadolowska, L.; Hoffmann, M.; Kowalkowska, J.; Gutkowska, K. Effect of an Education Program on Nutrition Knowledge, Attitudes toward Nutrition, Diet Quality, Lifestyle, and Body Composition in Polish Teenagers. The ABC of Healthy Eating Project: Design, Protocol, and Methodology. Nutrients 2018, 10, 1439. [Google Scholar] [CrossRef] [Green Version]
- Scazzocchio, B.; Vari, R.; d’Amore, A.; Chiarotti, F.; Del Papa, S.; Silenzi, A.; Gimigliano, A.; Giovannini, C.; Masella, R. Promoting Health and Food Literacy through Nutrition Education at Schools: The Italian Experience with MaestraNatura Program. Nutrients 2021, 13, 1547. [Google Scholar] [CrossRef]
- Vari, R.; d’Amore, A.; Silenzi, A.; Chiarotti, F.; Del Papa, S.; Giovannini, C.; Scazzocchio, B.; Masella, R. Improving Nutrition Knowledge and Skills by the Innovative Education Program MaestraNatura in Middle School Students of Italy. Nutrients 2022, 14, 2037. [Google Scholar] [CrossRef]
- Rossi, L.; Berni Canani, S.; Censi, L.; Gennaro, L.; Leclercq, C.; Scognamiglio, U.; Sette, S.; Ghiselli, A. The 2018 Revision of Italian Dietary Guidelines: Development Process, Novelties, Main Recommendations, and Policy Implications. Front. Nutr. 2022, 9, 861526. [Google Scholar] [CrossRef]
- Spronk, I.; Kullen, C.; Burdon, C.; O’Connor, H. Relationship between nutrition knowledge and dietary intake. Br. J. Nutr. 2014, 111, 1713–1726. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wardle, J.; Parmenter, K.; Waller, J. Nutrition knowledge and food intake. Appetite 2000, 34, 269–275. [Google Scholar] [CrossRef] [PubMed]
- Chrissini, M.K.; Panagiotakos, D.B. Public health interventions tackling childhood obesity at European level: A literature review. Prev. Med. Rep. 2022, 30, 102068. [Google Scholar] [CrossRef]
- Truman, E.; Lane, D.; Elliott, C. Defining food literacy: A scoping review. Appetite 2017, 116, 365–371. [Google Scholar] [CrossRef] [PubMed]
- White Paper on Nutrition, Overweight and Obesity-Related Health Issues. Available online: https://ec.europa.eu/health/nutrition-and-physical-activity/overview/strategy-nutrition-overweight-and-obesity-related-health-issues_en (accessed on 8 February 2023).
- Schmidt, S.; Goros, M.W.; Gelfond, J.A.L.; Bowen, K.; Guttersen, C.; Messbarger-Eguia, A.; Feldmann, S.M.; Ramirez, A.G. Children’s Afterschool Culinary Education Improves Eating Behaviors. Front. Public Health 2022, 10, 719015. [Google Scholar] [CrossRef]
- Teo, C.H.; Chin, Y.S.; Lim, P.Y.; Masrom, S.A.H.; Shariff, Z.M. School-based intervention that integrates nutrition education and supportive healthy school food environment among Malaysian primary school children: A study protocol. BMC Public Health 2019, 19, 1427. [Google Scholar] [CrossRef] [Green Version]
- Chan, C.L.; Tan, P.Y.; Gong, Y.Y. Evaluating the impacts of school garden-based programmes on diet and nutrition-related knowledge, attitudes and practices among the school children: A systematic review. BMC Public Health 2022, 22, 1251. [Google Scholar] [CrossRef]
- Smith, K.; Wells, R.; Hawkes, C. How Primary School Curriculums in 11 Countries around the World Deliver Food Education and Address Food Literacy: A Policy Analysis. Int. J. Environ. Res. Public Health 2022, 19, 2019. [Google Scholar] [CrossRef]
- Walker, R.E.; Keane, C.R.; Burke, J.G. Disparities and access to healthy food in the United States: A review of food deserts literature. Health Place 2010, 16, 876–884. [Google Scholar] [CrossRef]
- Cheng, H.; Rokicki, M.; Herder, E. The influence of city size on dietary choices. In Proceedings of the UMAP ‘17: 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, 9–12 July 2017. [Google Scholar]
- Wilson, C.K.; Matthews, J.I.; Seabrook, J.A.; Dworatzek, P.D.N. Self-reported food skills of university students. Appetite 2017, 108, 270–276. [Google Scholar] [CrossRef]
- Menozzi, D.; Sogari, G.; Mora, C. Explaining Vegetable Consumption among Young Adults: An Application of the Theory of Planned Behaviour. Nutrients 2015, 7, 7633–7650. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Emanuel, A.S.; McCully, S.N.; Gallagher, K.M.; Updegraff, J.A. Theory of Planned Behavior explains gender difference in fruit and vegetable consumption. Appetite 2012, 59, 693–697. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Questions | % MN | % CO | p |
---|---|---|---|
| 59.86 | 50.00 | 0.155 |
| 85.03 | 87.10 | 0.899 |
| 74.15 | 33.87 | <0.001 |
| 88.44 | 33.87 | <0.001 |
| 96.60 | 80.65 | <0.001 |
| 74.83 | 67.74 | 0.227 |
| 80.27 | 45.16 | <0.001 |
| 82.99 | 33.87 | <0.001 |
| 78.23 | 70.97 | 0.195 |
| 65.99 | 20.97 | <0.001 |
| 57.14 | 56.45 | 0.832 |
| 76.19 | 30.65 | <0.001 |
| 85.71 | 75.81 | 0.053 |
| 75.51 | 90.32 | 0.028 |
| 75.51 | 61.29 | 0.026 |
| 70.07 | 74.19 | 0.668 |
| 74.15 | 82.26 | 0.291 |
| 54.42 | 58.06 | 0.718 |
| 78.91 | 59.68 | 0.002 |
| 53.74 | 32.26 | 0.003 |
| 62.59 | 22.58 | <0.001 |
| 77.55 | 59.68 | 0.005 |
| 95.24 | 88.71 | 0.041 |
| 82.31 | 45.16 | <0.001 |
| 87.07 | 85.48 | 0.572 |
| 89.12 | 59.68 | <0.001 |
T0 Mean (SD) | T1 Mean (SD) | T1–T0 | p | |
---|---|---|---|---|
Total | ||||
ALL | 22.45 (7.8) | 28.48 (9.8) | 6.031 | <0.001 |
Provinces | 20.84 (7.43) | 30.36 (9.85) | 9.52 | <0.001 |
Cities | 25.61 (7.6) | 24.6 (8.44) | −0.83 | 0.277 |
p (provinces vs. cities) | <0.001 | <0.001 | ||
Vegetables | ||||
ALL | 6.46 (4.25) | 8.42 (4.32) | 1.96 | <0.001 |
Provinces | 5.7 (4.15) | 9.24 (4.11) | 3.53 | <0.001 |
Cities | 7.95 (4.05) | 6.74 (4.23) | −1.13 | 0.013 |
p (provinces vs. cities) | <0.001 | <0.001 | ||
Fruit | ||||
ALL | 8.08 (4.52) | 11.73 (5.87) | 3.64 | <0.001 |
Provinces | 7.43 (4.37) | 12.87 (5.85) | 5.44 | <0.001 |
Cities | 9.38 (4.5) | 9.42 (5.22) | 0.04 | 0.83 |
p (provinces vs. cities) | 0.001 | <0.001 | ||
Fish | ||||
ALL | 0.77 (0.43) | 0.84 (0.37) | 0.070 | 0.047 |
Provinces | 0.74 (0.44) | 0.86 (0.34) | 0.1 | 0.035 |
Cities | 0.84 (0.04) | 0.83 (0.37) | −0.023 | 0.685 |
p (provinces vs. cities) | 0.071 | 0.536 | ||
Cereals/legumes | ||||
ALL | 1.34 (1.24) | 1.48 (1.22) | 0.137 | 0.133 |
Provinces | 1.25 (1.24) | 1.5 (1.2) | 0.25 | 0.037 |
Cities | 1.51 (1.22) | 1.39 (1.23) | −0.08 | 0.546 |
p (provinces vs. cities) | 0.123 | 0.501 |
Total | |||
---|---|---|---|
T0 Mean (SD) | T1 Mean (SD) | p (T0 vs. T1) | |
F | 23.47 (7.96) | 32.12 (8.63) | <0.001 |
M | 21.35 (7.51) | 28.59 (10.7) | <0.001 |
p (F vs. M) | 0.029 | 0.018 | |
Vegetables | |||
F | 6.95 (4.12) | 9.83 (3.53) | <0.001 |
M | 5.93 (4.34) | 8.63 (4.56) | <0.001 |
p (F vs. M) | 0.056 | 0.022 | |
Fruit | |||
F | 8.6 (4.64) | 13.85 (5.44) | <0.001 |
M | 7.54 (4.34) | 11.88 (6.12) | <0.001 |
p (F vs. M) | 0.057 | 0.043 | |
Fish | |||
F | 0.79 (0.4) | 0.86 (0.35) | 0.074 |
M | 0.75 (0.45) | 0.80 (0.4) | 0.298 |
p (F vs. M) | 0.444 | 0.136 | |
Cereals/legumes | |||
F | 1.42 (1.24) | 1.6 (1.1) | 0.555 |
M | 1.26 (1.23) | 1.4 (1.28) | 0.119 |
p (F vs. M) | 0.302 | 0.723 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Varì, R.; Silenzi, A.; d’Amore, A.; Catena, A.; Masella, R.; Scazzocchio, B. MaestraNatura Reveals Its Effectiveness in Acquiring Nutritional Knowledge and Skills: Bridging the Gap between Girls and Boys from Primary School. Nutrients 2023, 15, 1357. https://doi.org/10.3390/nu15061357
Varì R, Silenzi A, d’Amore A, Catena A, Masella R, Scazzocchio B. MaestraNatura Reveals Its Effectiveness in Acquiring Nutritional Knowledge and Skills: Bridging the Gap between Girls and Boys from Primary School. Nutrients. 2023; 15(6):1357. https://doi.org/10.3390/nu15061357
Chicago/Turabian StyleVarì, Rosaria, Annalisa Silenzi, Antonio d’Amore, Alice Catena, Roberta Masella, and Beatrice Scazzocchio. 2023. "MaestraNatura Reveals Its Effectiveness in Acquiring Nutritional Knowledge and Skills: Bridging the Gap between Girls and Boys from Primary School" Nutrients 15, no. 6: 1357. https://doi.org/10.3390/nu15061357
APA StyleVarì, R., Silenzi, A., d’Amore, A., Catena, A., Masella, R., & Scazzocchio, B. (2023). MaestraNatura Reveals Its Effectiveness in Acquiring Nutritional Knowledge and Skills: Bridging the Gap between Girls and Boys from Primary School. Nutrients, 15(6), 1357. https://doi.org/10.3390/nu15061357