Evidence map›Paper›PMID 42205390›Full record

ArticleJournal of education and health promotion2026

Change in nutrition patterns through a school-based intervention-The Altus health and wellness academy model.

Lindsey Strieter, Shuaijie Wang, Tanvi Bhatt, John Heybach, Ross Arena

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2026. 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

5 authors.

Lindsey StrieterDepartment of Physical Therapy, College of Applied Science, University of Illinois, Chicago, IL, USA.
Shuaijie WangDepartment of Physical Therapy, College of Applied Science, University of Illinois, Chicago, IL, USA.
Tanvi BhattDepartment of Physical Therapy, College of Applied Science, University of Illinois, Chicago, IL, USA.
John HeybachDepartment of Physical Therapy, College of Applied Science, University of Illinois, Chicago, IL, USA.
Ross ArenaDepartment of Physical Therapy, College of Applied Science, University of Illinois, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildhood and adolescent obesity continue to plague our nation. Health interventions must begin early. When students introduce more nutritious foods into their diets like fruits and vegetables, their health is positively impacted. This study reports on improvements in willingness to try new fruits and vegetables and correlated health behaviors, like physical activity, after participation in a school-based wellness program, The Health and Wellness Academy (HWA). MATERIALS AND

methodsSeventy-two students participated in HWA, with a mean age of 10.43 ± 2.18 years. 58.3% were female, 75% were Hispanic, and the remaining 25% were Black. Each HWA session involved tailored nutrition and physical activity interventions. Pre- and post-program surveys were utilized to obtain nutrition data.

resultsResults indicated that the willingness to try new fruits and new vegetables increased along with the length of time in HWA. The mixed linear model regression results revealed significant time effects on both willingness to try new fruits (

conclusionsHaving a consistent, sustained intervention with a dedicated nutrition team allows youth to be exposed to a variety of nutrition options. Our findings indicate the HWA's tailored model allows for youth to find nutrition that is meaningful and relevant, thus willing to try new nutritious foods.

Indexed as

Adolescentchildhealthy lifestyleschool health services

Identifiers

PMID42205390
PMCPMC13209974

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Registered trials

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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.