Summer Youth Employment Programs for Health Promotion

November 10, 2025 updated by: University of Houston

Leveraging Summer Youth Employment Programs to Prevent Obesity in Adolescents

The purpose of this proof-of-concept study is to assess the initial signal of effectiveness of summer youth employment programs (SYEP) on understudied obesity-related outcomes in adolescents. This small-scale study is essential to identify early success and refine the intervention before scaling to a larger, more resource-intensive randomized trial. Specifically, this one-group pre-posttest study will:

Aim 1 (Primary): Evaluate if a 6-week SYEP provides an initial signal for effectiveness (maintenance or decrease in zBMI) over the summer.

Hypothesis 1: Adolescents who participated in a SYEP will maintain or decrease their BMI over the summer.

Aim 2 (Secondary): Evaluate changes in obesogenic behaviors (physical activity, sleep, sedentary, and diet) over the summer.

Hypothesis 2: Adolescents who participated in a SYEP will increase physical activity, reduce sedentary behavior, and improve sleep and diet quality over the summer.

Aim 3 (Secondary): Evaluate the feasibility of SYEP for obesity prevention intervention to inform intervention scalability.

Hypothesis 3: The SYEP program will be a feasible and acceptable intervention strategy for the prevention of obesity in adolescents over the summer.

Study Overview

Detailed Description

Preliminary evidence suggests that summer employment can be an age-appropriate, structured intervention to prevent unhealthy changes in obesogenic behaviors among adolescents. While these findings are promising, none of the existing studies have measured changes in BMI over the summer or conducted comprehensive assessments of obesogenic behaviors, including diet, sedentary behavior, sleep, and physical activity. To address these gaps, this study proposes a small proof-of-concept study to assess the initial signal of effectiveness on understudied obesity-related outcomes in adolescents.

SYEPs are well-established, continuously operating initiatives over 60 years with proven benefits in academics, workforce development, and crime prevention, and may also act as obesity prevention strategies. Rather than creating new interventions, investing in and expanding access to SYEPs-programs with high demand yet limited capacity (with only ~28% of applicants matched with jobs each summer, leaving the majority on waitlists)-can offer a practical solution for youth obesity prevention.

Study Type

Interventional

Enrollment (Actual)

15

Phase

  • Early Phase 1

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Texas
      • Houston, Texas, United States, 77204
        • University of Houston

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Age 14-17 years at the time of enrollment, in accordance with Texas Child Labor Law
  • Willing to work at the summer camp for six consecutive weeks
  • Able to pass the employment admission procedure (job interview)
  • Able to obtain parental consent and provide assent for study participation

Exclusion Criteria:

  • Currently pregnant or planning to become pregnant, due to physical activity restrictions and potential weight changes that could confound study results
  • Diagnosis of an intellectual and/or physical disability requiring specialized employment regulations or intervention strategies
  • Participation in a health promotion intervention within the past six months

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Summer Youth Employment Program
Participants will work as junior summer camp counselors at a University of Houston camp, up to 24 hours/week, Monday-Thursday, 8:30 AM-3:30 PM (with a 12-1 PM lunch break), for six weeks from mid-June to the end of July. Participants will assist senior counselors with indoor/outdoor activities such as games, enrichment, and academics. On Fridays, from 10 AM to 12 PM, participants will attend professional development workshops on topics such as communication, teamwork, resume building, and job search skills. From 12-2:30 PM, undergraduate staff will lead social activities and mentoring.
The intervention aims to employ adolescents in paid positions for six weeks during the summer, providing them with a structured, routine-based, and adult-supervised environment similar to that of the school year.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
zBMI
Time Frame: Baseline and Week 6 (post)
Height and weight will be directly measured by trained staff. Each measurement will be taken twice, and the average will be used for analysis. Changes in BMI will be expressed as Centers for Disease Control age-sex specific z-scores (zBMI).
Baseline and Week 6 (post)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sedentary behaviors
Time Frame: Baseline and Week 6 (post)
Sedentary behavior (minutes per day) will be measured using a wrist-placed ActiGraph GT3X on the non-dominant wrist for 8 days, ensuring at least 2 valid weekdays and 1 weekend. Cut points published by Hildebrand et al. will be used to classify activity intensities.
Baseline and Week 6 (post)
Moderate to vigorous physical activity (MVPA)
Time Frame: Baseline and Week 6 (post)
MVPA (minutes per day) will be measured using a wrist-placed ActiGraph GT3X on the non-dominant wrist for 8 days, ensuring at least 2 valid weekdays and 1 weekend. Cut points published by Hildebrand et al. will be used to classify activity intensities.
Baseline and Week 6 (post)
Sleep Duration
Time Frame: Baseline and Week 6 (post)
Sleep duration (minutes per day) will be measured using a wrist-placed ActiGraph GT3X on the non-dominant wrist for 8 days, ensuring at least 2 valid weekdays and 1 weekend. Sleep duration will be determined using the heuristic algorithm looking at distribution of change in Z-Angle (HDCZA).
Baseline and Week 6 (post)
Screen Time
Time Frame: Baseline and Week 6 (post)
Screen time in hours and minutes (e.g., television, computer, video games, smart phones, tablets) will assessed via self-report during each 8-day behavioral assessment period. Daily average screen time duration in minutes will be calculated by summing the total screen time across completed daily logbooks and dividing by the number of days the diary was completed.
Baseline and Week 6 (post)
Diet Intake
Time Frame: Baseline and Week 6 (post)
Adolescents will self-report their dietary intake via NHANES 23-item Dietary Screener Questionnaire. Responses will be dichotomized based on their distribution into two categories: "did not eat/drink today" and "ate/drank today". Subsequently, items will be grouped into two broader categories: healthy foods (fruits, vegetables, 100% fruit juice, and milk items) and unhealthy foods (desserts, sugar-sweetened beverages, salty snacks, and fast food items).
Baseline and Week 6 (post)
Recruitment capacity (percentage meeting recruitment goal)
Time Frame: Baseline
Recruitment capacity is the percentage meeting the recruitment goal.
Baseline
Retention
Time Frame: Baseline and Week 6 (post)
Retention (primary outcome) is the proportion of enrolled participants who completed both baseline and post-assessments for the primary outcome.
Baseline and Week 6 (post)
Fidelity
Time Frame: Weekly during intervention (Weeks 1-6)
Investigators will measure fidelity through weekly direct observations using a short checklist to record content delivery with time logs and supervisor behaviors.
Weekly during intervention (Weeks 1-6)
Attendance
Time Frame: Weekly during intervention (Weeks 1-6)
Attendance will be tracked as the proportion of days attended out of total offered workdays using employer time sheets.
Weekly during intervention (Weeks 1-6)
Acceptability
Time Frame: Week 7 (Follow-up)
Acceptability will be assessed through individual interviews conducted via Microsoft Teams with adolescents about barriers and facilitators to participation.
Week 7 (Follow-up)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 31, 2025

Primary Completion (Actual)

July 7, 2025

Study Completion (Actual)

July 29, 2025

Study Registration Dates

First Submitted

August 4, 2025

First Submitted That Met QC Criteria

November 10, 2025

First Posted (Actual)

November 12, 2025

Study Record Updates

Last Update Posted (Actual)

November 12, 2025

Last Update Submitted That Met QC Criteria

November 10, 2025

Last Verified

October 1, 2025

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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