ClinicalTrials.gg
RecruitingNCT05701657Updated Oct 13, 2026

Nutrition for Precision Health, Powered by the All of Us

An interventional study of Diet A and Diet B in Nutrition, Health and Dietary Habits, sponsored by RTI International. Recruiting at 14 sites in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-13.

Sponsored by RTI International · Not applicable, Interventional, and Other

From the registry’s dates

  • Started Apr 2023; still recruiting 3 years 6 months later.
Updated Oct 13, 2026Site recruiting status changedGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
8,000
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this Nutrition for Precision Health (NPH) powered by All of Us research study is to develop Artificial Intelligence/Machine Learning (AI/ML) algorithms that predict individual responses to diet patterns using rich multimodal data streams collected across multiple domains (e.g., behavior, social, environmental, clinical and molecular biomarkers). NPH includes a large phenotyping cohort (Module 1, N=8000) and two separate follow-up groups drawn from a subset of Module 1participants. One group (Module 2, N=1200) receives three distinct diets in a 14-day crossover sequence, with at least a 14-day washout period between diets, while living in their own homes. A second group (Module 3, N=150) receives the same three diets under full-time supervision in a residential research setting. We will train and test AI/ML models to predict 0-4 hour postprandial response curves for glucose, insulin, triglycerides, and GLP-1, to the standardized diet-specific meal test (DSMT) collected after each of the three different diets delivered in Module 2. Each diet functions as a controlled stimulus to reveal biological features (such as individual variables, patterns, or clusters of measurements) that best predict a person's response.

The Module 2 DSMT response curves are the primary outcomes (dependent variables) for AI/ML algorithms that predict individual responses to diet patterns.

As a secondary objective, NPH will evaluate the validity and acceptability of technology-based dietary assessment tools. The Automated Self-Administered 24-hour recall (ASA24), Automatic Ingestion Monitor-2 (AIM-2), and the mobile food record (mFR) will be evaluated in Modules 2 and 3, and the ASA24 food record and the image-assisted ASA24 recall will be evaluated only in Module 3. Total energy intake, macronutrient and dietary fiber intake data are the main outcomes for validity testing compared against measures of actual intake. Acceptability will be determined from feedback surveys.

Read the detailed description

The Nutrition for Precision Health (NPH) study is a multi-module, large-scale project with observational and interventional components embedded in the All of Us Research Program. The overarching goal is to develop artificial intelligence and machine learning (AI/ML) algorithms that predict individual responses to different diet patterns. The study consists of three modules designed to balance breadth (large scale phenotyping) and depth (controlled dietary interventions):

Module 1: Phenotyping (non-interventional)

Module 2: Community-dwelling controlled feeding group (Intervention arm 1)

Module 3: Residential (Live-in) controlled feeding group (Intervention arm 2)

Approximately 8,000 participants are anticipated to be enrolled in Module 1. From this cohort, approximately 1,200 participants will enroll in Module 2, and a separate subset of Module 1 participants (approximately 150 participants) will enroll in Module 3. Module 1 is observational and only Modules 2 and 3 are interventional in nature (intervention arms).

Module 1 is a phenotyping observational study. Participants undergo comprehensive characterization across an 8 to 10-day baseline period for assessments including: clinical measures, biospecimen collection, wearable sensor monitoring, questionnaires, and a liquid meal test (LMT). During the LMT, participants ingest a standardized liquid meal with a dose of acetaminophen for estimating gastric emptying and provide timed blood samples for postprandial profiling. The LMT is a diagnostic stimulus used solely for feature generation and is not being evaluated as an intervention. The resulting Module 1 high dimensional dataset supports machine learning methods (e.g., PCA, clustering, recursive feature elimination) for candidate predictor discovery and is therefore not listed in the Arms/Interventions section. Module 1 data will be used to develop novel statistical and machine learning methods to learn individual and generalizable causal models of nutrition and health, particularly in the presence of missing or incomplete data. The scale of Module 1 enables discovery of causal pathways and moderators between physical and contextual measures, LMT responses, and continuous glucose monitoring (CGM) data. These insights are critical for developing models that not only predict individual dietary responses but also explain why and under what conditions they occur.

Module 2 is a community dwelling controlled feeding arm (Intervention arm 1). A subset of Module 1 participants will enroll in Module 2, in which participants consume three standardized eucaloric diets; Diet A, Diet B, Diet C, in a crossover sequence. Each diet period lasts 12-14 days, separated by a minimum of 14-day washout period between diets. All meals are provided, but participants remain in their community dwelling environments. Participants undergo one of six possible sequences of dietary interventions, reflecting all possible orderings of the three diets (ABC, ACB, BCA, BAC, CAB, and CBA). To reduce potential bias, all six diet sequences are included in the crossover design. Rather than assigning diet sequences to individual participants, a cohort-based randomization approach is used to reduce operational burden on the metabolic kitchens. In this approach, pre-generated schedules involving all 6 diet sequences are randomly assigned to the clinical site metabolic kitchens, with each diet sequence corresponding to a cohort. Participants are then enrolled into the cohorts. The six diet orders are repeated over time at each site until the full enrollment targets for Modules 2 and 3 are met. Each site follows a different randomized version of the overall cohort schedule, which ensures distribution of the possible diet orders across time and clinical sites while preserving balance and logistical feasibility. Wearable-generated data (like accelerometry and CGM), physical and contextual measures are collected throughout.

At the completion of each diet participants are provided a standardized breakfast meal test, DSMT, from each of the three provided diets (Diet A, B, C). The 0-4 hour postprandial response curves are then used to evaluate inter-individual variation and unmask features collected in Module 1 and 2 that contribute to the AI/ML predictions of the response.

Each breakfast serves as a controlled stimulus to reveal underlying biological features from rich multimodal data streams, including clinical, molecular, behavioral, environmental, and social domains that may drive interindividual variability in metabolic response. For each DSMT, participants provide blood samples for up to nine time points over four hours. Analyte concentrations of glucose, insulin, triglycerides, and GLP-1, are used to construct response curves. The primary outcomes are the area under the curve (AUC) for each analyte (glucose, insulin, triglycerides, GLP-1) following each DSMT. This approach parallels a cardiac stress test: the stimulus (the meal) is a probe to expose individual variability in physiological function. Module 2 data will also be used to develop novel statistical and machine learning methods that produce individual and generalizable causal models of nutrition and health.

Module 3 is a controlled feeding study (Intervention arm 2) that is implemented in the live-in/residential setting. A separate subset of Module 1 participants completes the same three diets (Diet A, B, C) as in Module 2, but while residing in a research setting with full supervision of intake, activity, and sleep. The same cohort randomization scheme as in Module 2 determines diet order. The residential environment in Module 3 provides the highest degree of experimental control, allowing isolation of physiological effects of diet composition. Participants undergo a diet-specific meal test (DSMT) as well as a liquid meal test (LMT) accompanied by a dose of acetaminophen after completing each of the diets. In addition, intake balance studies are conducted in this module using the doubly labeled water assessments and DXA for body composition. Data from Module 3 will help quantify and separate variance in the AI/ML models attributable to adherence and other community dwelling factors observed in Module 2 and enables rigorous and controlled comparison against causal relationships discovered in Module 2 data.

In both Modules 2 and 3, participants are masked to the nutritional profile of each diet to minimize expectancy bias. Investigators and diet implementation staff are unmasked.

02

Conditions studied

  • Nutrition
  • Health
  • Dietary Habits

Browse trials for

03

In context

Feeding Behavior

985 studies on the registry are indexed under Feeding Behavior; 178 are open to participants now.

This study's planned enrollment of 8,000 is above the median of 77 across 700 interventional studies indexed under Feeding Behavior.

Browse Feeding Behavior studies →

Lead sponsor

RTI International is the lead sponsor of 84 studies on the registry; 18 are open to participants now.

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

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Overall Inclusion -- Participants 18 years of age or older who have completed the primary All of Us consent process, Electronic Health Record consent process, have provided at least one All of Us biospecimen suitable for DNA sequencing, and have completed All of Us Participant Provided Information (PPI) Modules 1-3 (Basics, Overall Health, and Lifestyle); Speak English or Spanish; Able and willing to comply with study requirements and consent to participate.
  • Module 1 -- Must be willing and able to comply with Module 1 protocol; Must provide for Module 1.
  • Module 2 -- Must have completed Module 1; Must provide informed consent for Module 2; Must agree to comply with protocol over a period of approximately 10 to 12 weeks and up to six months. This includes consuming only the foods provided during periods of controlled feeding. Module 2 has three controlled feeding periods each lasting approximately two weeks with at least two weeks between feeding periods, and up to 6 months allowed for completion of the Module.
  • Module 3 -- Must have completed Module 1; Must provide informed consent for Module 3; Must agree to comply with protocol over a period of approximately 10 to 12 weeks and up to 6 months. This includes being domiciled three times, for two weeks each, and consuming only the foods provided during the domiciled periods. There is at least two weeks between domiciled periods, and up to 6 months allowed for completion of the Module.

Exclusion criteria

Exclusion Criteria:

  • Module 1

    1. Any change to the participant's status from the time of All of Us enrollment that would render them ineligible for All of Us (e.g., being incarcerated, no longer living in the United States, or withdrawn from that study).
    2. Inability to provide and engage in informed consent procedures
    3. Participants who suffer from allergic reactions to, or are unwilling to consume, any components of the liquid mixed meal (e.g., milk products, soy products)
    4. Barriers to safe insertion of peripheral IV canula:

      1. to peripheral IV canula insertion such as local skin infection, inflammation, trauma or burns if all the upper extremities were involved and there is no unaffected extremity available for IV placement; or
      2. A need for long-term IV access (e.g., ESRD); or
      3. Lymphedema or deep vein thrombosis (DVT) in the extremity of the IV (in the case where another extremity is not available); or
      4. Coagulopathy requiring blood thinning products; or
      5. Arteriovenous (AV) graft or fistula in the extremity of the IV (in the case where another extremity is not available)
    5. Pregnancy-related conditions:

      1. Gestational age precluding completion of the Module by 36 weeks. A pregnant participant should complete visit 1 by gestational age 34 weeks, 0 days and complete Module 1 by week 36.
      2. Severe morning sickness limiting mixed meal tolerance test (MMTT) consumption
    6. Certain types of disease states:

      1. Dumping syndrome or inability to consume the volume of the MMTT liquid
      2. Severe malabsorption such as history of short gut syndrome or need for parenteral or enteral nutrition
      3. Less than 12-months post-metabolic or bariatric surgery
      4. History of chronic pancreatitis (e.g., Cystic fibrosis) complicated by inability to tolerate the volume of the MMTT liquid
      5. Health conditions requiring chronic blood transfusions or iron infusions
      6. \<9.5 g/dL at screening
    7. Serious illness and in hospice or palliative care for terminal disease
    8. Swallowing issues:

      1. Self-reported difficulty tolerating solids or liquids
      2. Aspiration risks that require change in thickness of liquid or dietary modifications
    9. Short term antibiotic use. For example, active antibiotics use for an ongoing acute infection
    10. Blood donation in the last 3 months
    11. GLP-1 agonist medication (e.g. Semaglutide) instability as defined by less than 3 months of continuous use
    12. Any disorder, unwillingness, or inability not covered by any other exclusion criteria which, in the investigator's and/or team's opinion jeopardizes the safety of the participant or others or would interfere with adherence to the protocol.
  • Module 2

    1. Any change to the participant's status from the time of All of Us enrollment that would render them ineligible for All of Us (e.g., being incarcerated, no longer living in the United States, or withdrawn from that study)
    2. All the above mentioned exclusion criteria for Module 1 (except inability to consume components of the liquid mixed meal)
    3. Inability to provide informed consent and engage in informed consent procedures
    4. Inability or failure to complete all critical elements from Module 1 (dietary, physical activity and sleep assessments, continuous glucose monitoring, MMTT)
    5. Participants who are already enrolled in Module 3
    6. Participants who are unlikely to be able to adhere to the protocol, based on structured adherence assessment by a study registered dietitian or other trained staff. This includes participants who have known allergic reactions to, or unwillingness to consume, study foods in Module 2 (e.g., gluten, meat, fish, nuts, dairy products) that cannot be reasonably accommodated by the metabolic kitchen within allowable criteria for the test diets.
    7. Participants who plan to relocate to an area not served by NPH or travel plans that do not permit completion of the Module over a period of up to 6 months.
    8. Pregnancy-related conditions:

      1. Gestational age precluding completion of the Module by week 36. A pregnant participant must be able to begin the first diet by gestational age 26 weeks, 0 days and complete the Module by week 36.
      2. High risk pregnancy defined as fetal anomaly, gestational hypertension (SBP >140 mmHg and DBP >90 mmHg), pre-eclampsia, or gestational diabetes mellitus
    9. Possible ethanol (alcohol) use disorder defined by Alcohol Use Disorders Identification Test (AUDIT) score of >15
    10. History of surgery for the treatment of obesity and:

      1. Self-reported dumping syndrome; or
      2. Following a special diet prescribed by their practitioner
    11. Uncontrolled disease states:

      1. Hypertension >160/100mmHg
      2. Exacerbation of underlying gastrointestinal disease, including inflammatory bowel disease or other malabsorptive disorders
      3. Decompensated cirrhosis
      4. Previously diagnosed diabetes Mellitus with >12% at screening
      5. Newly diagnosed diabetes within the past three months, or HbA1c >6.5% at screening in a person not previously diagnosed with diabetes.
    12. Participants with a history of end-stage renal disease (ESRD) on hemodialysis
    13. Active infectious diseases (e.g., active tuberculosis \< 3 months from symptom onset or positive test, COVID \< 1 month from symptom onset or positive test)
    14. (e.g., cancer) actively receiving cytotoxic chemotherapy (oral or infusions) treatment except for nonmelanoma skin cancers during the study period
    15. Participants who require dietary restrictions due to a medical condition or are on a prescribed diet for underlying chronic diseases
    16. Participants with type 1 or type 2 diabetes on insulin
    17. Participants aged ≥ 75 years with type 2 diabetes taking prescribed medications that can cause hypoglycemia (e.g. sulfonylureas, glinides), or on a prescribed diet
    18. Hospitalization for a chronic disease (e.g., congestive heart failure, stroke) within the past three months
    19. Requiring transfusions/apheresis during study period
    20. Participants with a current diagnosis of, or who have received treatment for, bulimia or anorexia nervosa within the past 3 years
    21. Participants with major psychiatric disorders, including major depression, schizophrenia, or psychosis, who have been hospitalized in the past six (6) months or are currently enrolled in treatment programs
    22. Hemoglobin \<9.5 g/dL at screening
    23. Myocardial infarction, invasive cardiac procedure, participation in a cardiac or acute rehabilitation programs, , or unstable arrhythmias within the past 3 months
    24. Any disorder, unwillingness, or inability not covered by any other exclusion criteria which, in the investigator's opinion, might jeopardize the safety of the participant or others, or be expected to interfere with adherence to the protocol.
  • Module 3

    1. All the above mentioned exclusion criteria for Modules 1 and 2
    2. Participants who are already enrolled in Module 2
    3. Any disorder, unwillingness, or inability not covered by any other exclusion criteria which, in the investigator's opinion, might jeopardize the safety of the participant or others, or would interfere with adherence to the protocol
    4. Inability to abstain from tobacco or nicotine use, vaping, alcohol, illicit drug use, or recreational drug use for two (2) consecutive weeks while domiciled in the clinical unit. Nicotine gum, pouch, or patch are permitted.
    5. Any condition requiring in-person treatments or visits during the study period. This will not be accommodated by the domiciling protocol; however, tele-health visits with the participants regular doctor are permitted.
    6. Lactation or other infant care needs that cannot be accommodated while domiciled in the clinical unit
    7. Depression as assessed by:

      1. Patient Health Questionnaire (PHQ-9) score ≥ 15; or
      2. Affirmative answer to PHQ-9 suicidality question: "Thoughts that you would be better off dead or of hurting yourself in some way"
    8. Unable to engage in daily self-care activities (e.g., bathing, transferring, toileting, feeding, dressing)
    9. Uncontrolled endocrine disorders (such as Cushing's disease, pituitary disorders, diabetes)
    10. Uncontrolled pain requiring frequent or daily treatment, or adjustment of medication requiring weekly or bi-weekly visits. Pain medications used on an as-needed basis (PRN), such as acetaminophen or NSAIDs, are not excluded.
    11. Chronic prescription medications that would pose logistical and safety issues for participation
Terms in these criteria, in plain language(6)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

Hemoglobin (Hb)

The protein in red blood cells that carries oxygen. A low level is anaemia, which can cause tiredness and breathlessness. Measured in g/dL or g/L (9 g/dL is 90 g/L).

HbA1c

A blood test of average blood sugar over the past two to three months, given as a percentage or in mmol/mol. 6.5% (48 mmol/mol) or more is the usual threshold for diabetes, normally confirmed by a second test.

Cancer (malignancy)

Malignancy means cancer. Criteria about another or earlier malignancy ask whether you have had a different cancer, usually within a set number of years.

Some are commonly allowed, such as treated skin cancers other than melanoma and early cancers removed completely — check the exceptions this study lists.

TIA (transient ischaemic attack)

A “mini-stroke”: temporary stroke-like symptoms caused by reduced blood flow to part of the brain, spinal cord or eye, without signs of a new stroke on a scan.

Stroke symptoms need emergency care at once, even if they go away.

05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Non-randomized
Intervention model
Crossover assignment
Masking
Single (Participant)
Enrollment
8,000 participants (estimated)

Study arms

  • Experimental
    Community-Dwelling Controlled-Feeding Arm (Module 2)

    Participants drawn from Module 1 will receive three standardized diets (A, B, and C) in one of six sequences. Diet sequences are assigned at the cohort level based on a pre-defined site-specific schedule. All meals are provided while participants remain living in their own homes. Each diet period lasts \~14 days, separated by washouts of at least 14 days. Participants are masked to the nutritional content of each diet. Data collection includes wearable device outputs, physical and contextual assessments, and biospecimens. This arm evaluates metabolic responses to controlled diets under real-world, community-dwelling conditions.

    Other: Diet A · Other: Diet B · Other: Diet C

  • Experimental
    Residential Controlled-Feeding Arm (Module 3)

    A separate group of participants drawn from Module 1, who are not enrolled in Module 2, will receive the same three standardized diets administered in Module 2 while residing in a fully supervised residential setting. Diet sequences are assigned at the cohort level based on a pre-defined site-specific schedule. Each diet period will last approximately 14 days and will be separated by washout periods of at least 14 days. Intake, activity, and sleep will be closely monitored. Participants will also complete the same liquid meal test administered in Module 1 (see detailed description) after each of the diet periods. A wealth of measurements will be collected, including data from wearables, physical and contextual measures, and biospecimens. Intake balance studies are conducted in this module using the doubly labeled water assessments and DXA for body composition. Module 3 is designed to isolate the response to different diets from behavioral variability observed in community settings.

    Other: Diet A · Other: Diet B · Other: Diet C

Interventions

  • OtherDiet A

    This diet has high amounts of fruits/vegetables, whole grains, and beans, moderate amounts of dairy, meat/poultry/eggs, nuts/seeds, and olive oil, and very low amounts of sugar sweetened drinks and desserts.

  • OtherDiet B

    This diet has high amounts of refined grains, meat/poultry/egg, sugar sweetened drinks, snacks, desserts, and processed foods. It has a moderate amount of dairy and low amounts of fruits/vegetables, whole grains, and fish.

  • OtherDiet C

    This diet has moderate-high amounts of vegetables, meat/poultry/egg, nuts/seeds, dairy and fats/oils, low amounts of fruits, and very low amounts of grains and sugars.

06

What researchers measure

Primary outcomes

  1. Glucose - Diet Specific mixed meal tolerance test (MMTT) Diet A

    Area under the curve (AUC) for glucose measured during the diet-specific MMTT for Diet A.

    Time frame: 4 hours

  2. Insulin - Diet Specific mixed meal tolerance test (MMTT) Diet A

    Area under the curve (AUC) for insulin measured during the diet-specific MMTT for Diet A.

    Time frame: 4 hours

  3. Triglycerides - Diet Specific mixed meal tolerance test (MMTT) Diet A

    Area under the curve (AUC) for triglycerides measured during the diet-specific MMTT for Diet A.

    Time frame: 4 hours

  4. GLP-1 - Diet Specific mixed meal tolerance test (MMTT) Diet A

    Area under the curve (AUC) for Glucagon-Like Peptide-1 (GLP-1) measured during the diet-specific MMTT for Diet A.

    Time frame: 4 hours

  5. Glucose - Diet Specific mixed meal tolerance test (MMTT) Diet B

    Area under the curve (AUC) for glucose measured during the diet-specific MMTT for Diet B.

    Time frame: 4 hours

  6. Insulin - Diet Specific mixed meal tolerance test (MMTT) Diet B

    Area under the curve (AUC) for insulin measured during the diet-specific MMTT for Diet B.

    Time frame: 4 hours

  7. Triglycerides - Diet Specific mixed meal tolerance test (MMTT) Diet B

    Area under the curve (AUC) for triglycerides measured during the diet-specific MMTT for Diet B.

    Time frame: 4 hours

  8. GLP-1 - Diet Specific mixed meal tolerance test (MMTT) Diet B

    Area under the curve (AUC) for Glucagon-Like Peptide-1 (GLP-1) measured during the diet-specific MMTT for Diet B.

    Time frame: 4 hours

  9. Glucose - Diet Specific mixed meal tolerance test (MMTT) Diet C

    Area under the curve (AUC) for glucose measured during the diet-specific MMTT for Diet C.

    Time frame: 4 hours

  10. Insulin - Diet Specific mixed meal tolerance test (MMTT) Diet C

    Area under the curve (AUC) for insulin measured during the diet-specific MMTT for Diet C.

    Time frame: 4 hours

  11. Triglycerides - Diet Specific mixed meal tolerance test (MMTT) Diet C

    Area under the curve (AUC) for triglycerides measured during the diet-specific MMTT for Diet C.

    Time frame: 4 hours

  12. GLP-1 - Diet Specific mixed meal tolerance test (MMTT) Diet C

    Area under the curve (AUC) for Glucagon-Like Peptide-1 (GLP-1) measured during the diet-specific MMTT for Diet C.

    Time frame: 4 hours

Secondary outcomes

  1. Accuracy of energy intake estimates from tool (ASA24, mFR, AIM-2, ASA24 record, mFR+ASA24) compared to known intake from objective measures.

    Agreement will be assessed between total daily energy intake in kilocalories reported via each dietary assessment tool and known intake from the intake-balance method using doubly labelled water and provided diets.

    Time frame: 14 days

  2. Accuracy of energy intake estimates from tool (ASA24, mFR, AIM-2, ASA24 record, mFR+ASA24) compared to measured intake from provided diets.

    Agreement between energy reported via each dietary assessment tool and measured intake from provided diets, in grams per day.

    Time frame: 14 days

  3. Accuracy of carbohydrate intake estimates from tool (ASA24, mFR, AIM-2, ASA24 record, mFR+ASA24) compared to measured intake from provided diets.

    Agreement between carbohydrate intake reported via dietary assessment tool and measured intake from provided diets, in grams per day.

    Time frame: 14 days

  4. Accuracy of protein intake estimates from tool (ASA24, mFR, AIM-2, ASA24 record, mFR+ASA24) compared to measured intake from provided diets.

    Agreement between protein intake reported via each dietary assessment tool and measured intake from provided diets, in grams per day.

    Time frame: 14 days

  5. Accuracy of fat intake estimates from tool (ASA24, mFR, AIM-2, ASA24 record, mFR+ASA24) compared to measured intake from provided diets.

    Agreement between fat intake reported via each dietary assessment tool and measured intake from provided diets, in grams per day.

    Time frame: 14 days

  6. Accuracy of dietary fiber intake estimates from tool (ASA24, mFR, AIM-2, ASA24 record, mFR+ASA24) compared to measured intake from provided diets.

    Agreement between dietary fiber intake reported via each dietary assessment tool and measured intake from provided diets, in grams per day.

    Time frame: 14 days

  7. Acceptability scales for ASA24 and Diet A

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  8. Acceptability scales for ASA24 and Diet B

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  9. Acceptability scales for ASA24 and Diet C

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  10. Acceptability scales for mFR and Diet A

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  11. Acceptability scales for mFR and Diet B

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  12. Acceptability scales for mFR and Diet C

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  13. Acceptability scales for AIM-2 and Diet A

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  14. Acceptability scales for AIM-2 and Diet B

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  15. Acceptability scales for AIM-2 and Diet C

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  16. Acceptability scales for ASA24 Record and Diet A

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  17. Acceptability scales for ASA24 Record and Diet B

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  18. Acceptability scales for ASA24 Record and Diet C

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  19. Acceptability scales for mFR+ASA24 and Diet A

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  20. Acceptability scales for mFR+ASA24 and Diet B

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

  21. Acceptability scales for mFR+ASA24 and Diet C

    Responses to questions on ease of use and tool preference. Principal outcomes will be "ease of use" and "willingness to use again."

    Time frame: 14 days

07

Study locations

13 of 14 sites recruiting
  • University of Alabama at Birmingham
    Birmingham, Alabama 35233, United States
    Recruiting
    • Sarah Ehrlicher, PhD, RDN · Contactnph@uab.edu · 205-934-0027
    • James Hill, PhD · Principal investigator
    • Barbara Gower, PhD · Sub investigator
  • University of California, Davis
    Davis, California 95616, United States
    Recruiting
    • Ellen Bonnel · Contactnph-whnrc@ucdavis.edu · 530-723-2568
    • Alexander Borowsky, MD · Sub investigator
    • Sean Adams, PhD · Principal investigator
    • Francene Steinberg, PhD, RD · Sub investigator
  • USDA Western Human Nutrition Research Center
    Davis, California 95616, United States
    Recruiting
    • Ellen Bonnel · Contactnph@ucdavis.edu · 530-723-2568
    • Brian Bennett, PhD · Principal investigator
  • University of California, Los Angeles
    Los Angeles, California 90024, United States
    Recruiting
  • Cedars Sinai Medical Center
    West Hollywood, California 90069, United States
    Recruiting
    • Christina Lombardi, PhD · Contactallofus@cshs.org · 310-423-1001
    • Marc Goodman, PhD · Sub investigator
  • Northwestern University
    Chicago, Illinois 60611, United States
    Recruiting
    • Northwestern Medicine · Contactjoinallofus@northwestern.edu · 312-695-6077
    • Linda Van Horn, PhD, RD, LDN · Principal investigator
    • Joyce Ho, PhD · Sub investigator
    • Marilyn Cornelis, PhD · Sub investigator
  • Illinois Institute of Technology
    Chicago, Illinois 60616, United States
    Recruiting
    • Illinois Institute of Technology · Contactnph-group@iit.edu · 312-567-5300
    • Linda Van Horn, PhD, RD, LDN · Principal investigator
    • Britt Burton-Freeman, PhD · Sub investigator
  • University of Chicago
    Chicago, Illinois 60637, United States
    Recruiting
    • Kendall Bahl · Contactnph@bsd.uchicago.edu · 773-795-3484
    • Linda Van Horn, Phd, RD, LDN · Principal investigator
    • Briseis Aschebrook-Kilfoy, PhD · Sub investigator
  • Pennington Biomedical Research Center
    Baton Rouge, Louisiana 70808, United States
    Recruiting
    • Melissa Harris, MPA · Contactmelissa.harris@pbrc.edu · 225-763-3091
    • Eric Ravussin, PhD · Principal investigator
    • Leanne Redman, PhD · Sub investigator
  • Louisiana State University Health Sciences Center
    New Orleans, Louisiana 70112, United States
    Active, not recruiting

    Not enrolling at this site.

  • Tufts University
    Boston, Massachusetts 02111, United States
    Recruiting
    • Paul Fuss · Contactpaul.fuss@tufts.edu · 617-556-3381
    • Sai Das, PhD · Principal investigator
    • Hamed Khalili, MD, MPH · Sub investigator
  • Massachusetts General Hospital
    Boston, Massachusetts 02114, United States
    Recruiting
    • Jenny Gurung · Contactmghnphstudy@mgb.org · 617-768-8300
    • Sai Das, PhD · Principal investigator
    • Hamed Khalili, MD, MPH · Sub investigator
  • University of North Carolina at Chapel Hill - Chapel Hill Clinic
    Chapel Hill, North Carolina 27514, United States
    Recruiting
    • Joan Thomas, MS, RD · Contactallofus_unc@unc.edu · 800-561-0315
    • · Contact919-808-5686
    • Elizabeth Mayer-Davis, Phd, RD · Principal investigator
  • University of North Carolina at Chapel Hill - Kannapolis
    Kannapolis, North Carolina 28081, United States
    Recruiting
    • Julie Stegall, MSW · Contactallofus_unc@unc.edu · 800-561-0315
    • · Contact704-928-1277
    • Elizabeth Mayer-Davis, PhD, RD · Principal investigator
08

References and documents

Publications

  • Ludwig DS, Willett WC, Putt ME. Wash-in and washout effects: mitigating bias in short term dietary and other trials. BMJ. 2025 Apr 22;389:e082963. doi: 10.1136/bmj-2024-082963. PubMed 40262831 ↗

Individual participant data

Plan to share: Yes — IPD and related data dictionaries will be available in the All of Us Researcher Workbench.

Supporting information: Study protocol

Time frame: One year after study completion

Access criteria: Per the policies of the All of Us Research Workbench

Data sharing details ↗ · researchallofus.org

09

Updates

1 registry update since Sep 25, 2026
Sites
Pennington Biomedical Research Center is now Recruiting
Oct 13, 2026
Site contacts
Changed at 1 site. See the sites
Show the site
  • Pennington Biomedical Research Center · Baton Rouge, United StatesContact added m•••@pbrc.edu · •••3091Contact added (no phone or email listed)Contact added (no phone or email listed)
Oct 13, 2026
Show all 1 update
  1. Oct 13, 2026
    Pennington Biomedical Research Center is now Recruiting
    Site contacts Changed at 1 site. See the sites
    Show the site
    • Pennington Biomedical Research Center · Baton Rouge, United StatesContact added m•••@pbrc.edu · •••3091Contact added (no phone or email listed)Contact added (no phone or email listed)
    + 1 other change: verification date

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT05701657
Lead sponsor
RTI International
Collaborators
National Institutes of Health (NIH), University of North Carolina, Chapel Hill, Northwestern University, Illinois Institute of Technology, University of Chicago, Pennington Biomedical Research Center, Louisiana State University Health Sciences Center in New Orleans, University of California, Davis, University of California, Los Angeles, Cedars-Sinai Medical Center, University of Alabama at Birmingham, Tufts University, Massachusetts General Hospital, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Center for Advancing Translational Sciences (NCATS), National Cancer Institute (NCI), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), City University of New York, School of Public Health, Mayo Clinic, University of California, San Diego, University of Hawaii, Vanderbilt University Medical Center, National Heart, Lung, and Blood Institute (NHLBI), National Center for Complementary and Integrative Health (NCCIH), National Institute of Drug Abuse, Public Health Informatics Computational and Operations Research, University of Southern California, Cornell University, University of Alabama, Tuscaloosa, North Carolina State University, University of North Carolina, Charlotte, Duke University, Stevens Institute of Technology, Purdue University, United States Military Academy West Point, USDA, Western Human Nutrition Research Center, North Carolina Central University, Wake Forest University Health Sciences, Boston University, Children's Hospital of Richmond, Virginia Commonwealth University, Verily Life Sciences LLC, Indiana University, Fred Hutchinson Cancer Center, Columbia University, University of Pennsylvania
Responsible party
Sponsor
First posted
Jan 27, 2023
Start date
Apr 14, 2023
Primary completion
Feb 25, 2027 (estimated)
Completion
Feb 25, 2027 (estimated)
Last update
Oct 13, 2026

Study contacts

Carolyn P Huitema, MS
Contact
info@nutritionforprecisionhealth.org
833-947-2583
Marie G Gantz, PhD
principal investigator · RTI International

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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