CClinicalTrials.gg
CompletedNCT02329262Updated May 12, 2026Results posted

A Skills-based RCT for Physical Activity Using Peer Mentors

An interventional study of Mentoring to be Active with Accelerometers and Planning to be Active with Accelerometers in Health Behavior, Obesity and Motor Activity, sponsored by Ohio State University. Completed at 20 sites in United States. Open to participants aged 14 Years to 64 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-05-12.

Sponsored by Ohio State University · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
571
Allocation
Randomized
Ages
14 Years to 64 Years
Sex
All
01

Study summary

This approach will train peer mentors to deliver a culturally appropriate intervention and provide social support that is critical for facilitating and sustaining health behavior change. The objective is to compare the efficacy of an innovative healthy lifestyle skills mentoring program (Mentored Planning to be Active [MBA]) to a teacher led program (PBA) for increasing physical activity in Appalachian high school teens. MBA emphasizes the social determinants of health by using a social networking approach that trains peer mentors to support targeted teens

Read the detailed description

The goal of this study is to positively impact the physical activity patterns to improve health outcomes including the high rates of obesity in Appalachian teens. The approach will train peer mentors to deliver the culturally appropriate intervention and provide social support that is critical for facilitating and sustaining health behavior change. The primary objective is to compare the efficacy of an innovative healthy lifestyle skills mentoring program (Mentored Planning to be Active [MBA]) to a teacher led program (PBA) for increasing physical activity in Appalachian high school teens. MBA emphasizes the social determinants of health by using a social networking approach that trains peer mentors to support targeted teens. Refined over the course of 3 studies,2-4 PBA is a ten-lesson unit delivered over 10 weeks and designed to teach self-regulation of physical activity among teens. Expanding PBA to mentors via MBA has the potential to promote and sustain adoption of daily regular physical activity through self-regulation of physical activity in discretionary time. With MBA delivery, physical activity is tailored to personal interests, talents, and neighborhood environment. MBA empowers students to plan and evaluate their own personal activity plan. It is predicted that by serving as role models, peer mentors will improve their own lifestyle behaviors, providing a double-edged intervention. It is also predicted that providing intense and structured social support to teens via peer mentors will result in better health outcomes compared to teacher-based support alone (usual care). The plan is to conduct a group randomized controlled trial to evaluate the effects of a culturally and theoretically based behavioral intervention delivered by peer mentors (MBA) on adolescent healthy behaviors (daily physical activity, regular exercise, and sedentary behaviors) and physical health outcomes (BMI, body fat) compared to PBA delivered in a classroom setting by a teacher.

02

Conditions studied

  • Health Behavior
  • Obesity
  • Motor Activity

Keywords

  • exercise
  • mentors
  • health education
  • obesity
03

In context

Health Behavior

228 studies on the registry are indexed under Health Behavior; 95 are open to participants now.

This study's enrollment of 571 is above the median of 114 across 196 interventional studies indexed under Health Behavior.

Browse Health Behavior studies →

Lead sponsor

Ohio State University is the lead sponsor of 640 studies on the registry; 144 are open to participants now.

Of its 60 completed or terminated interventional studies of FDA-regulated products, 45 (75%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
14 Years to 64 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • 9th or 10th grade students as participants
  • 11th or 12th grade students as mentors
  • Classroom teachers who instruct health education or physical education to 9th and 10th grade students.
  • Not expected to move from school prior to conclusion of study
  • Speaks English

Exclusion criteria

Exclusion Criteria:

  • Peer mentors with a BMI (for age and gender) above the 85th percentile or below the 5th percentile at the start of the study
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
571 participants (actual)

Study arms

  • Experimental
    Mentoring to be Active

    Trained teen mentors will deliver the physical activity curriculum to high school students in a school setting. Physical activity will be measured with accelerometers.

    Behavioral: Mentoring to be Active with Accelerometers

  • Active comparator
    Planning to be Active

    High school teachers will deliver the physical activity curriculum (usual care) to high school students enrolled in health education courses. Physical activity will be measured with accelerometers.

    Behavioral: Planning to be Active with Accelerometers

  • No intervention
    Peer Mentors

    11 and 12 grade-level trained mentors who lead the Mentoring to be Active (MBA) experimental group as peer mentors.

  • No intervention
    High School Teachers

    High School teachers who taught the usual care healh classes for the Planning to be Active (PBA) active comparator group.

Interventions

  • BehavioralMentoring to be Active with Accelerometers

    Trained high school mentors will deliver a 10 session curriculum targeting physical activity to younger teens.

    Also known as: peer mentoring

  • BehavioralPlanning to be Active with Accelerometers

    Health education teachers will deliver the 10 session curriculum targeting physical activity to high school students enrolled in health courses.

    Also known as: Teacher PBA

06

What researchers measure

Primary outcomes

  1. Change in Body Mass Index From T1 to T3

    Body mass index is caculated as weight in kilograms divided by the square of height in meters. The measure is the change in BMI from baseline to 9 months post-baseline.

    Time frame: T1 (Baseline) to T3 (9 months-post baseline)

  2. Change in Total Body Weight From T1 to T3

    Change in total body weight from baseline to 9 months post-baseline.

    Time frame: T1 (baseline) to T3 (9-month post baseline)

  3. Change in Pounds of Body Fat From T1 to T3

    Body fat in pounds measured by Tanita Body Composition Analyzer. This equipment provides estimated values for each measured value of body fat percentage, fat mass, fat free mass, muscle mass and bone mass by the DXA method, estimated value for the total body water measured value by the dilution method and estimated value for the visceral fat rating by MRI method using the Bioelectrical Impedance Analysis (BIA method). The Tanita Body Composition Analyzer measures body composition using a constant current source with a high frequency current (6.25kHz, 50kHz, 90μA). The 4 electrodes are positioned so that electric current is supplied from the electrodes on the tips of the toes of both feet, and voltage is measured on the heel of both feet. Body weight measured with shoes and socks removed. Calculated to the nearest 0.2 pounds.

    Time frame: T1 ( Baseline) to T3 (9-months post baseline)

Secondary outcomes

  1. Moderate Physical Activity (Daily)

    Percentage of participants engaging in daily moderate physical activity. Measured by accelerometers; subjects to wear devices for 7 days at each data collection time point

    Time frame: 9 months

  2. Outcome Expectancies Scale

    21 item, 6 -point Likert Summative Scale focusing on psychological determinants of physical activity. Higher values indicate higher (more positive) outcome expectancies. Range of scores are from 21-126 with a score of 63 or higher indicating more positive expectancy from engaging in physical activity.

    Time frame: 9 months

  3. Exercise Self-Efficacy Scale

    14 item scale that asks participants to rank their own confidence in performing an exercise behavior from 0% confidence to 100 % confidence. Higher percentages indicate higher levels of self-efficacy to engage in physical activity. Each item may range from 0% to 100%. An item score of 51% indicates "positive" confidence. Eight or more items with at least 51% for each indicates overall" positive self-efficacy" to engage in exercise. The total scale may range from 0 (no confidence)-1400 (100% confidence on each item). A score of 408 or higher (at least 51% on a minimum of 8/14 items) indicates "positive" self-efficacy to engage in exercise.

    Time frame: 9 months

  4. Outcome Expectations Scale

    40 item, 6-point Likert type scale that asks participants to rank their expectations of what physical activity will do their own health outcomes. Scores range from 40-240. Scores of 101 or above indicate more positive expectation of what physical activity can do to health outcomes (more positive health outcomes expected)

    Time frame: 9 months

  5. Social Support From Family and Friends to Exercise

    12 item, 5 point Likert measure asking participants to rate each question twice: Once for family members and once for friends. Questions ask about the perceived social support to engage in physical activity within the past 3 months. Higher values indicate more social support to engage in physical activity. Values range from 12-60 for the Family Social Support and 12-60 for Friends Social Support. A total social support score is created by summing the scores for family and friends combined. A total score of 25 or above for indicates higher or more positive social support.

    Time frame: 9 months

  6. Vigorous Physical Activity

    Percentage of participants engaging in vigorous physical activity during the data collection period measured by accelerometers.

    Time frame: 9 months

Other outcomes

  1. Sessions Attended

    Average number of sessions attended by participants

    Time frame: 3 months

07

Results

Posted Mar 5, 2025

Participant flow

students attending the same school are expected to socialize together; thus, a Group-Randomized Control Trial (G-RCT) is necessary to avoid the risk of cross-contamination.There were 20 high schools recruited in 3 waves, with 4 in Wave 1, 8 in Wave 2, and 8 in Wave 3, for a total of schools. For each wave of schools, half of the schools were randomly assigned to each condition-intervention \[MBA\] and comparison \[PBA\]-for a total of 10 schools in each of the two conditions by study's end.

Participant flow — Overall Study
MilestoneMentoring to be Active (MBA)Planning to be Active (Usual Care)
Started318253
Student participants252248
Peer mentors660
Teachers05
Completed318253
Not completed00

Outcome measures

PrimaryChange in Body Mass Index From T1 to T3

Body mass index is caculated as weight in kilograms divided by the square of height in meters. The measure is the change in BMI from baseline to 9 months post-baseline.

Time frame:
T1 (Baseline) to T3 (9 months-post baseline)
Reported as:
Mean · kg/m2
Change in Body Mass Index From T1 to T3
kg/m2Mentoring to be ActivePlanning to be Active
Change in Body Mass Index From T1 to T3-.9257 ± 1.76-.6503 ± 2.09
PrimaryChange in Total Body Weight From T1 to T3

Change in total body weight from baseline to 9 months post-baseline.

Time frame:
T1 (baseline) to T3 (9-month post baseline)
Reported as:
Mean · pounds
Change in Total Body Weight From T1 to T3
poundsPlanning to be ActiveMentoring to be Active
Change in Total Body Weight From T1 to T3-4.96 ± 11.388.72 ± 10.94
PrimaryChange in Pounds of Body Fat From T1 to T3

Body fat in pounds measured by Tanita Body Composition Analyzer. This equipment provides estimated values for each measured value of body fat percentage, fat mass, fat free mass, muscle mass and bone mass by the DXA method, estimated value for the total body water measured value by the dilution method and estimated value for the visceral fat rating by MRI method using the Bioelectrical Impedance Analysis (BIA method). The Tanita Body Composition Analyzer measures body composition using a constant current source with a high frequency current (6.25kHz, 50kHz, 90μA). The 4 electrodes are positioned so that electric current is supplied from the electrodes on the tips of the toes of both feet, and voltage is measured on the heel of both feet. Body weight measured with shoes and socks removed. Calculated to the nearest 0.2 pounds.

Time frame:
T1 ( Baseline) to T3 (9-months post baseline)
Reported as:
Mean · pounds
Change in Pounds of Body Fat From T1 to T3
poundsPlanning to be ActiveMentoring to be Active
Change in Pounds of Body Fat From T1 to T3-3.05 ± 11.46-3.13 ± 12.44
SecondaryModerate Physical Activity (Daily)

Percentage of participants engaging in daily moderate physical activity. Measured by accelerometers; subjects to wear devices for 7 days at each data collection time point

Time frame:
9 months
Reported as:
Number · percentage of participants
Moderate Physical Activity (Daily)
percentage of participantsMentoring to be ActivePlanning to be Active
Moderate Physical Activity (Daily)4.94.9
SecondaryOutcome Expectancies Scale

21 item, 6 -point Likert Summative Scale focusing on psychological determinants of physical activity. Higher values indicate higher (more positive) outcome expectancies. Range of scores are from 21-126 with a score of 63 or higher indicating more positive expectancy from engaging in physical activity.

Time frame:
9 months
Reported as:
Mean · score on a scale
Outcome Expectancies Scale
score on a scaleMentoring to be ActivePlanning to be Active
Outcome Expectancies Scale81.47 ± 13.681.8 ± 13.4
SecondaryExercise Self-Efficacy Scale

14 item scale that asks participants to rank their own confidence in performing an exercise behavior from 0% confidence to 100 % confidence. Higher percentages indicate higher levels of self-efficacy to engage in physical activity. Each item may range from 0% to 100%. An item score of 51% indicates "positive" confidence. Eight or more items with at least 51% for each indicates overall" positive self-efficacy" to engage in exercise. The total scale may range from 0 (no confidence)-1400 (100% confidence on each item). A score of 408 or higher (at least 51% on a minimum of 8/14 items) indicates "positive" self-efficacy to engage in exercise.

Time frame:
9 months
Reported as:
Mean · score on a scale
Exercise Self-Efficacy Scale
score on a scaleMentoring to be ActivePlanning to be Active
Exercise Self-Efficacy Scale783 ± 304830 ± 315
SecondaryOutcome Expectations Scale

40 item, 6-point Likert type scale that asks participants to rank their expectations of what physical activity will do their own health outcomes. Scores range from 40-240. Scores of 101 or above indicate more positive expectation of what physical activity can do to health outcomes (more positive health outcomes expected)

Time frame:
9 months
Reported as:
Mean · score on a scale
Outcome Expectations Scale
score on a scaleMentoring to be ActivePlanning to be Active
Outcome Expectations Scale68.5 ± 12.970.3 ± 13.8
SecondarySocial Support From Family and Friends to Exercise

12 item, 5 point Likert measure asking participants to rate each question twice: Once for family members and once for friends. Questions ask about the perceived social support to engage in physical activity within the past 3 months. Higher values indicate more social support to engage in physical activity. Values range from 12-60 for the Family Social Support and 12-60 for Friends Social Support. A total social support score is created by summing the scores for family and friends combined. A total score of 25 or above for indicates higher or more positive social support.

Time frame:
9 months
Reported as:
Mean · score on a scale
Social Support From Family and Friends to Exercise
score on a scaleMentoring to be ActivePlanning to be Active
Social Support From Family and Friends to Exercise29.4 ± 13.333.2 ± 13.9
SecondaryVigorous Physical Activity

Percentage of participants engaging in vigorous physical activity during the data collection period measured by accelerometers.

Time frame:
9 months
Reported as:
Count of participants · Participants
Vigorous Physical Activity
ParticipantsMentoring to be ActivePlanning to be Active
Vigorous Physical Activity176198
Other pre-specifiedSessions Attended

Average number of sessions attended by participants

Time frame:
3 months
Reported as:
Mean · sessions
Sessions Attended
sessionsMentoring to be ActivePlanning to be Active
Sessions Attended6.98 ± 3.29.6 ± 1.1
Post-hocEase of Use

Participants will be asked to describe the ease of using the intervention curriculum and comparison program. General satisfaction with the program was assessed. For this 3-item, Likert summative scale, minimum scores were 3 and maximum scores were 15. Each item was scored as: 1= strongly disagree, 2= disagree, 3= neither agree or disagree, 4= agree, and 5 = strongly disagree. Participants responded to these questions: "Lessons were easy to understand.", "Lessons were clearly explained", and "Lessons met the program goals." Higher values indicated more program satisfaction.

Time frame:
3 months
Reported as:
Mean · summative score on a 3-item scale
Ease of Use
summative score on a 3-item scalePlanning to be ActiveMentoring to be Active
Ease of Use9.92 ± 1.5712.85 ± 1.12

Adverse events

Collected over Adverse event data collected during the study timeframe, from baseline through the 9-month post-baseline follow-up period.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Mentoring to be Active0/252 (0%)0/252 (0%)0/252 (0%)
Planning to be Active0/248 (0%)0/248 (0%)0/248 (0%)
Peer Mentors0/66 (0%)0/66 (0%)0/66 (0%)
High School Teachers0/5 (0%)0/5 (0%)0/5 (0%)

Baseline characteristics

The participant population is consistent with the overall population demographics of the counties that the schools are located in.

Age, Categorical
Age, Categorical(Participants)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
<=18 years252248660566
Between 18 and 65 years00055
>=65 years00000
Age, Continuous
Age, Continuous(years)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
Mean14.84 (13 to 16)15.25 (13 to 16)16.49 (15 to 17)38.38 (32 to 44)14.97 (13 to 16)
Sex/Gender, Customized
Sex/Gender, Customized(Participants)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
Male122122273274
Female130126392297
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
Hispanic or Latino11305
Not Hispanic or Latino251247634565
Unknown or Not Reported00011
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
American Indian or Alaska Native15110026
Asian51208
Native Hawaiian or Other Pacific Islander00000
Black or African American10134128
White222219563500
More than one race04004
Unknown or Not Reported00415
Region of Enrollment
Region of Enrollment(participants)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
United States252248665627
Grade level at beginning of study
Grade level at beginning of study(Participants)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
9th grade25224800500
10th grade00202
11th-12th gradee0064064
N/A00055
Average Number of Household Members
Average Number of Household Members(number of household members)Mentoring to be ActivePlanning to be ActivePeer MentorsHigh School TeachersTotal
Mean4.3 ± 3.94.6 ± 3.54.5 ± 3.25.2 ± 2.84.4 ± 3.3
08

Study locations

20 sites
  • River Valley High School
    Bidwell, Ohio 45614, United States
  • Chillicothe High School
    Chillicothe, Ohio 45601, United States
  • Huntington Local High School
    Chillicothe, Ohio 45601, United States
  • Unioto High School
    Chillicothe, Ohio 45601, United States
  • Zane Trace High School
    Chillicothe, Ohio 45601, United States
  • Dawson-Bryant High School
    Coal Grove, Ohio 45638, United States
  • Green High School
    Franklin Furnace, Ohio 45629, United States
  • Ironton High School
    Ironton, Ohio 45638, United States
  • Jackson High School
    Jackson, Ohio 45640, United States
  • Western High School
    Latham, Ohio 45646, United States
  • New Boston High School
    New Boston, Ohio 45662, United States
  • Oak Hill High School
    Oak Hill, Ohio 45656, United States
  • Piketon High School
    Piketon, Ohio 45661, United States
  • Clay Local High School
    Portsmouth, Ohio 45662, United States
  • West Portsmouth High School
    Portsmouth, Ohio 45663, United States
  • Southern Local High School
    Racine, Ohio 45771, United States
  • South Point High School
    South Point, Ohio 45680, United States
  • Federal Hocking High School
    Stewart, Ohio 45778, United States
  • Berne Union High School
    Sugar Grove, Ohio 43155, United States
  • Waverly High School
    Waverly, Ohio 45690, United States
09

References and documents

Publications

  • Smith LH, Petosa RL. A Structured Peer-Mentoring Method for Physical Activity Behavior Change Among Adolescents. J Sch Nurs. 2016 Oct;32(5):315-23. doi: 10.1177/1059840516644955. Epub 2016 May 4. PubMed 27257081 ↗
  • Smith LH, Petosa RL. Effective Practices to Improve Recruitment, Retention, and Partnerships in School-Based Studies. J Pediatr Health Care. 2016 Sep-Oct;30(5):495-8. doi: 10.1016/j.pedhc.2016.05.004. Epub 2016 Jun 16. No abstract available. PubMed 27321677 ↗
  • Smith LH, Petosa RL, Shoben A. Peer mentor versus teacher delivery of a physical activity program on the effects of BMI and daily activity: protocol of a school-based group randomized controlled trial in Appalachia. BMC Public Health. 2018 May 16;18(1):633. doi: 10.1186/s12889-018-5537-z. PubMed 29769106 ↗

Study documents

  • Protocol and statistical analysis plan · Feb 15, 2015

Documents are hosted by the registry — open the source record to download them.

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 12, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT02329262
Lead sponsor
Ohio State University
Responsible party
Laureen Smith (Associate Professor, Ohio State University) — Principal investigator
First posted
Dec 31, 2014
Start date
Sep 2015
Primary completion
Nov 1, 2018
Completion
Nov 1, 2018
Results posted
Mar 5, 2025
Last update
May 12, 2026

Study contacts

Laureen H Smith, PhD
principal investigator · OSU College of Nursing
Rick L Petosa, PhD
principal investigator · Ohio State University

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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