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Impact of a school-based food garden on attitudes and identification skills regarding vegetables and fruit: a 12-month intervention trial
Open accessAbstract
Objective: To determine changes in ability to identify specific vegetables and fruits, and attitudes towards vegetables and fruit, associated with the introduction of a school-based food garden. Design: A 12-month intervention trial using a historical control (control n 132, intervention n 120), class-based, self-administered questionnaires requiring one-word answers and 3-point Likert scale responses. Setting: A state primary school (grades 4 to 7) in a low socio-economic area of Brisbane, Australia. Intervention: The introduction of a school-based food garden, including the funding of a teacher coordinator for 11 h/week to facilitate integration of garden activities into the curriculum. Main outcome measures: Ability to identify a series of vegetables and fruits, attitudes towards vegetables and fruit. Analysis: Frequency distributions for each item were generated and χ2 analyses were used to determine statistical significance. Exploratory factor analysis was employed to detect major trends in data. Results: The intervention led to enhanced ability to identify individual vegetables and fruits, greater attention to origins of produce (garden-grown and fresh), changes to perceived consumption of vegetables and fruits, and enhanced confidence in preparing fruit and vegetable snacks, but decreased interest in trying new fruits. Conclusions: The introduction of this school-based food garden was associated with skill and attitudinal changes conducive to enhancing vegetable and fruit consumption. The ways in which such changes might impact on dietary behaviours and intake require further analysis.
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“Overall, the garden-based programs significantly increased preferences for fruits and vegetables in 4 of 8 studies, willingness to try new fruits and vegetables in 4 of 5 studies, and levels of consumption of fruits and vegetables in 4 of 5 studies.233–235”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [235]
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Metadata
- Authors
- Somerset, S., & Markwell, K.
- Affiliations
- Griffith University (AU)
- Corresponding author
- Somerset, Shawn
- Venue
- Public Health Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2009-02
- Volume
- 12
- Issue
- 2
- Pages
- 214-221
- ISSN
- 1368-9800 (ISSN-L)
- 1475-2727
- OpenAlex
- W2171131276
- Cited by
- 130
- References
- 36
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 9 · 2021: 5 · 2020: 9 · 2019: 6 · 2018: 11 · 2017: 11 · 2016: 12 · 2015: 13 · 2014: 11 · 2013: 12 · 2012: 9
- FWCI
- 15.33
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Public Health Nutrition (publishedVersion)
- PubMed (publishedVersion)
- CLOK (University of Central Lancashire) (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Griffith Research Online (submittedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Diverse Educational Innovations Studies
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Social Sciences › Urban Studies › Urban Agriculture and Sustainability
- Keywords
- fruit identification, fruit and vegetable intake, elementary school students, dietary behaviour, horticulture education
- MeSH terms
- Adolescent, Agriculture, Australia, Child, Child Nutritional Physiological Phenomena, Factor Analysis, Statistical, Female, Fruit, Humans, Health Knowledge, Attitudes, Practice, Male, Surveys and Questionnaires, Schools, Social Class, Socioeconomic Factors, Vegetables, Chi-Square Distribution, Child Nutrition Sciences
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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