Evidence map›Paper›PMID 39526209›Full record

ArticleClinical nutrition research2024

5A's Behavior Change Model Improves Nutrition Knowledge and Intake Among Adolescent Athletes.

Saningun Lee, Yeongtaek Hwang, Hyunjung Lim

Abstract read
In one paragraph

Article in Clinical nutrition research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Saningun LeeDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Korea.ORCID https://orcid.org/0000-0002-4005-6805
Yeongtaek HwangDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Korea.ORCID https://orcid.org/0009-0002-5389-8339
Hyunjung LimDepartment of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin 17104, Korea.ORCID https://orcid.org/0000-0001-7632-7315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compared the effects of 12 weeks of intensive nutrition education (IE) using the 5A's behavioral change model and basic nutrition education (BE) on nutritional knowledge and nutrient intake among Korean adolescent athletes. This study included elite adolescent athletes (IE group: n = 65, BE group: n = 65) at a physical education high school in Seoul. In this prospective, randomized, controlled trial, the athletes' body composition, nutritional knowledge, nutrient intake, and self-management practices were evaluated at the beginning and end of the intervention. Both groups had increased levels of nutrition knowledge between pre- and post-test, but the change in total score for nutrition knowledge was significantly higher in the IE group than in the BE group (p < 0.001). Energy intake post-test increased significantly in the IE group (from 2,185 to 2,651 kcal/day, p < 0.001) but not in the BE group. The intake of carbohydrates, protein, and fat also increased significantly in the IE group (carbohydrates: from 298 to 352 g/day, protein: from 86 to 106 g/day, fat: from 71 to 88 g/day, all p < 0.001), but the change in the BE group was not significant. Additionally, the IE group showed a significant overall increase in vitamins and minerals compared to the BE group at post-test. Adolescent athletes in the IE group showed improved nutritional knowledge and intake compared to those in the BE group 12 weeks after the intervention.

Indexed as

AthletesEnergy intakeHealth educationNutritional status

Identifiers

PMID39526209
PMCPMC11543449

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.