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Healthy Summer Learners: An explanatory mixed methods study and process evaluation.

Lauren von Klinggraeff¹, Roddrick Dugger¹, Keith Brazendale²

¹Department of Exercise Science, University of South Carolina Arnold School of Public Health, Columbia 29208, USA.

Evaluation and Program Planning

|March 27, 2022

Summary

This summary is machine-generated.

The Healthy Summer Learners (HSL) program, designed to prevent summer learning loss and BMI gain in low-income children, faced attendance challenges. These issues may have impacted the study

Keywords:

Academics Diet Physical activity Process evaluation Structure

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Area of Science:

Public Health
Pediatric Nutrition
Educational Psychology

Background:

Summer learning loss and accelerated BMI gain disproportionately affect children from low-income families.
Intervention programs during summer break are crucial for mitigating these negative trends.
The Healthy Summer Learners (HSL) program was developed to address these dual challenges.

Purpose of the Study:

To evaluate the effectiveness of the Healthy Summer Learners (HSL) program.
To compare HSL against an active comparator (21st Century Summer Learning Program) and a no-treatment control.
To conduct a mixed-methods process evaluation of program implementation.

Main Methods:

A pilot quasi-experimental, three-armed study with repeated measures.
Participants included 2nd-4th grade children from low-income families in the Southeastern US.
Program components included healthy meals, nutrition education, physical activity, and reading instruction.

Main Results:

The HSL program was generally well-received by participants.
Student attendance was lower than anticipated, and full program fidelity was not achieved.
No statistically significant group-by-time interactions were found for zBMI or MAP reading scores at 3- or 12-month follow-ups.

Conclusions:

Process evaluation indicated that inconsistent bussing schedules and limited program hours/duration impacted attendance and fidelity.
These implementation challenges may explain the lack of significant findings for primary outcomes.
Future iterations should address logistical barriers, extend program duration, and reduce costs.