Translational Obesity Research (Pathways)
Translational Research: Applying Drug Prevention to Obesity Prevention
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
California
-
Alhambra, California, United States, 91803
- University of Southern California
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- 4th grade students at participating schools
Exclusion Criteria:
- None
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: 1
Receives Pathways universal school-based health promotion curriculum from 4th-6th grade
|
3-year, 30 lesson, School-based universal health promotion curriculum with parent component.
|
|
No Intervention: 2
Control group of students who do not receive the intervention
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Food Intake
Time Frame: 9 month posttest, 21 month follow-up, 33 month follow-up
|
9 month posttest, 21 month follow-up, 33 month follow-up
|
|
Physical Activity
Time Frame: baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
|
Body Mass Index
Time Frame: baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Executive Cognitive Function
Time Frame: baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
|
Stress
Time Frame: baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
|
Attitudes toward healthy eating and physical activity
Time Frame: baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
baseline, 9 month posttest, 21 month posttest, 33 month posttest
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Mary Ann Pentz, PhD, University of Southern California
- Principal Investigator: Nathaniel R Riggs, PhD, University of Southern California
Publications and helpful links
General Publications
- Cappelli C, Pike JR, Christodoulou G, Riggs NR, Warren CM, Pentz MA. The effect of sensation seeking on alcohol use among middle school students: a latent state-trait analysis. Am J Drug Alcohol Abuse. 2020 May 3;46(3):316-324. doi: 10.1080/00952990.2019.1660885. Epub 2019 Sep 11.
- Cappelli C, Pike JR, Riggs NR, Warren CM, Pentz MA. Executive function and probabilities of engaging in long-term sedentary and high calorie/low nutrition eating behaviors in early adolescence. Soc Sci Med. 2019 Sep;237:112483. doi: 10.1016/j.socscimed.2019.112483. Epub 2019 Aug 7.
- Warren C, Riggs N, Pentz MA. Executive function mediates prospective relationships between sleep duration and sedentary behavior in children. Prev Med. 2016 Oct;91:82-88. doi: 10.1016/j.ypmed.2016.07.024. Epub 2016 Jul 29.
- Little MA, Riggs NR, Shin HS, Tate EB, Pentz MA. The effects of teacher fidelity of implementation of pathways to health on student outcomes. Eval Health Prof. 2015 Mar;38(1):21-41. doi: 10.1177/0163278713489879. Epub 2013 Jun 4.
- Pentz MA, Riggs NR. Longitudinal relationships of executive cognitive function and parent influence to child substance use and physical activity. Prev Sci. 2013 Jun;14(3):229-37. doi: 10.1007/s11121-012-0312-3.
- Pentz MA, Spruijt-Metz D, Chou CP, Riggs NR. High calorie, low nutrient food/beverage intake and video gaming in children as potential signals for addictive behavior. Int J Environ Res Public Health. 2011 Dec;8(12):4406-24. doi: 10.3390/ijerph8124406. Epub 2011 Nov 29.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- HS-08-00437
- R01HD052107 (U.S. NIH Grant/Contract)
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