Determinants and Outcomes of High Vs. Low Ultra-processed Feeding

March 17, 2025 updated by: Oklahoma State University

The goal of this clinical trial is to learn about, test, and compare health outcomes of high vs. low-processed feeding. The main question[s] it aims to answer are:

• Does consuming a diet rich in unprocessed food improve various health outcomes? Participants will either be instructed to consume a diet rich in unprocessed food for 6 months, or consume their typical diet for 6 months. At various points in the study there will be metabolic health data collected.

If there is a comparison group: Researchers will compare the low-processed group to the typical diet group to see if there are improvements in metabolic health.

Study Overview

Status

Active, not recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

60

Phase

  • Not Applicable

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

    • Oklahoma
      • Stillwater, Oklahoma, United States, 74075
        • Laboratory for Applied Nutrition and Exercise Science (LANES)

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

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • rural county resident
  • not meeting physical activity guidelines for adults
  • consuming a typical Western diet (rich in UPF)

Exclusion Criteria:

  • chronic diseases
  • tobacco, vape, or illicit drug use
  • overly active
  • already on a restrictive diet (e.g., keto, intermittent fasting)

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: Basic Science
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Low-Processed Food Group
Participants that receive intervention will be instructed to eat a diet rich in unprocessed/minimally-processed foods, as described by the NOVA food classification system
No Intervention: Typical Diet Group

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Body Weight
Time Frame: 1 year
Using a standard scale, body weight in kg will be assessed
1 year
Body Composition
Time Frame: 1 year
Using Dual-energy X-ray absorptiometry(DXA), body composition will be assessed
1 year
Fat Mass Percentage
Time Frame: 1 year
Using Dual-energy X-ray absorptiometry(DXA), fat mass percentage will be assessed
1 year
Fat-Free Mass Percentage
Time Frame: 1 year
Using Dual-energy X-ray absorptiometry(DXA), fat-free mass will be assessed
1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Triglyceride Levels
Time Frame: 1 year
Blood draw followed by a Piccolo scan will analyze Triglyceride levels in the blood
1 year
Glucose Levels
Time Frame: 1 year
Blood draw followed by a Piccolo scan will analyze glucose in the blood
1 year
Cholesterol Levels
Time Frame: 1 year
Blood draw followed by a Piccolo scan will analyze glucose in the blood
1 year
HDL
Time Frame: 1 year
Blood draw followed by a Piccolo scan will analyze HDL in the blood
1 year
LDL
Time Frame: 1 year
Piccolo scan will analyze LDL in the blood
1 year
Alanine transaminase (ALT)
Time Frame: 1 year
Blood draw followed by a Piccolo scan will analyze ALT in the blood
1 year
Aspartate transaminase (AST)
Time Frame: 1 year
Blood draw followed by a Piccolo scan will analyze AST in the blood
1 year

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Energy Intake
Time Frame: 1 year
3-Day Food Logs will record caloric intake at various points
1 year
Energy Expenditure
Time Frame: 1 year
Resting Metabolic Rate will be used to find resting energy expenditure and an accelerometer will measure expended energy through fitness, combined these will show energy expenditure
1 year
Gut Microbiome Collection
Time Frame: 1 year
Stool kits administered for fecal collection will be used for gut microbiome collection
1 year

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Sam Emerson, PhD, Oklahoma State University

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)

August 9, 2023

Primary Completion (Estimated)

May 31, 2025

Study Completion (Estimated)

August 9, 2025

Study Registration Dates

First Submitted

December 13, 2023

First Submitted That Met QC Criteria

March 6, 2024

First Posted (Actual)

March 15, 2024

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

March 17, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • IRB-23-42

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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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