The DOI matches its Crossref record.
Relationship Between General Nutrition Knowledge and Dietary Quality in Elite Athletes
Abstract
This study investigated the association between general nutrition knowledge and dietary quality in a convenience sample of athletes (> state level) recruited from four Australian State Sport Institutes. General nutrition knowledge was measured by the validated General Nutrition Knowledge Questionnaire and diet quality by an adapted version of the Australian Recommended Food Score (A-ARFS) calculated from food frequency questionnaire data. Analysis of variance and linear modeling were used to assess relationships between variables. Data: mean (Standard Deviation). A total of 101 athletes (Males: 37; Females: 64), 18.6 (4.6) years were recruited mainly from team sports (72.0%). Females scored higher than males for both nutrition knowledge (Females: 59.9%; Males: 55.6%; p = .017) and total A-ARFS (Females: 54.2% Males: 49.4%; p = .016). There was no significant influence of age, level of education, athletic caliber or team/individual sport participation on nutrition knowledge or total A-ARFS. However, athletes engaged in previous dietetic consultation had significantly higher nutrition knowledge (61.6% vs. 56.6%; p = .034) but not total A-ARFS (53.6% vs. 52.0%; p = .466). Nutrition knowledge was weakly but positively associated with total A-ARFS ( r = .261, p= .008) and A-ARFS vegetable subgroup ( r = .252, p = .024) independently explaining 6.8% and 5.1% of the variance respectively. Gender independently explained 5.6% of the variance in nutrition knowledge ( p = .017) and 6.7% in total A-ARFS ( p = .016). Higher nutrition knowledge and female gender were weakly but positively associated with better diet quality. Given the importance of nutrition to health and optimal sports performance, intervention to improve nutrition knowledge and healthy eating is recommended, especially for young male athletes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Nutritional knowledge seems to be not influenced by age, level of education, athletic caliber, or team/individual sport participation, as shown in a study conducted by Spronk et al. on elite athletes aged over 16 [89].”
From Nutrition for Children and Adolescents Who Practice Sport: A Narrative Review (2024) · cites this paper as [89]
In the citing paper
“During data extraction, two longitudinal intervention studies(55,56) were excluded to avoid duplicate publication bias, as their baseline data were reported in standalone articles already included in the review (Fig. 1).”
From Adolescent athletes have better general than sports nutrition knowledge and lack awareness of supplement recommendations: a systematic literature review (2024) · cites this paper as [55]
In the citing paper
“Additionally, despite low sports nutrition knowledge amongst adolescent athletes, there does appear to be a positive association between higher sports nutrition knowledge and healthier dietary habits [17,18], indicating that if nutrition knowledge can be improved in this population, it may translate to healthier dietary habits and optimal fueling strategies for athletes.”
From Nutrition Knowledge and Perceived Dietary Requirements of Adolescent Student-Athletes: A Pilot Study (2024) · cites this paper as [18]
In the citing paper
“however, with regards to the level of nutrition knowledge, a weak positive relationship (r = >0.26) exists between the level of one’s nutrition knowledge and their energy balance and dietary quality [127,132,135,136].”
From Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review (2023) · cites this paper as [127]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Condo, D., Lohman, R., Kelly, M., & Carr, A. (2019) · Nutrients · doi:10.3390/nu11050971 · Cited by 122
Nutrition for Children and Adolescents Who Practice Sport: A Narrative Review
Capra, M. E., Stanyevic, B., Giudice, A., Monopoli, D., Decarolis, N. M., Esposito, S., & Biasucci, G. (2024) · Nutrients · doi:10.3390/nu16162803 · Cited by 66
Sleep, Nutrition, and Injury Risk in Adolescent Athletes: A Narrative Review
Mason, L., Connolly, J., Devenney, L. E., Lacey, K., O’Donovan, J., & Doherty, R. (2023) · Nutrients · doi:10.3390/nu15245101 · Cited by 50
Hulland, S. C., Trakman, G. L., & Alcock, R. D. (2024) · British Journal of Nutrition · doi:10.1017/s0007114523002799 · Cited by 34
Nutrition Knowledge and Perceived Dietary Requirements of Adolescent Student-Athletes: A Pilot Study
Jagim, A. R., Merfeld, B. R., Ambrosius, A., Carpenter, M., Fields, J. B., & Jones, M. T. (2024) · Nutrients · doi:10.3390/nu17010133 · Cited by 19
5A's Behavior Change Model Improves Nutrition Knowledge and Intake Among Adolescent Athletes
Lee, S., Hwang, Y., & Lim, H. (2024) · Clinical Nutrition Research · doi:10.7762/cnr.2024.13.4.244 · Cited by 3
Metadata
- Authors
- Spronk, I., Heaney, S. E., Prvan, T., & O’Connor, H. T.
- Venue
- International Journal of Sport Nutrition and Exercise Metabolism
- Publisher
- Human Kinetics
- Published
- 2015-06
- Volume
- 25
- Issue
- 3
- Pages
- 243-251
- ISSN
- 1526-484X
- 1543-2742
- Cited by
- 146
- References
- 0
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.