Dietary, Physiological, Genetic, and Behavioral Predictors of Health in a Young, Ethnically-Mixed Population

NCT ID: NCT00945633

Last Updated: 2025-08-22

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

90 participants

Study Classification

OBSERVATIONAL

Study Start Date

2008-06-30

Study Completion Date

2030-08-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Dietary intervention and other strategies to prevent unhealthy weight gain and the development of obesity should be based on knowledge of dietary, physiological, genetic and behavioral determinants and their contributing interactions. Identifying these determinants is difficult because physiological susceptibility to specific dietary and behavioral factors implicated in unhealthy weight gain differs between populations and individuals within the populations. The research challenge is identifying specific determinants in a free-living, adult population.

Understanding the interaction between diet and the underlying susceptibility factors such as physiologic, genetic and epigenetic, and behavioral factors mandate an integrated approach.

This integrated approach should include understanding the interplay of physiological factors (genetics, epigenetics, taste preferences, susceptibility to energy excess, etc.) and behavioral factors (food cravings, restraint, disinhibition, physical activity) as each of these domains is a potential driving force in energy expenditure, food preference, dietary choices, and food intake.

Which of these factor(s) is most important? The investigators propose that by examining dietary, physiological, genetic, and behavioral factors in an integrated fashion we will gain insight into the obesity epidemic and identify the most important determinants of weight gain. As a secondary aim, the investigators will identify a single parsimonious collection of factors and develop strategies to mitigate the risks of developing obesity.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

This is a prospective, longitudinal, clinical study using an epidemiological approach. The sample consists of 90 free-living participants aged 20-35 years. The participants will undergo a series of assessments in the domains of diet, physiological factors, and behavioral factors at baseline and every 12 months for 2 years.

OBJECTIVES

1. Identify dietary, physiological, genetic and behavioral determinants of unhealthy weight gain in healthy, young, ethnically-mixed men and women.
2. Identify relationships between genetic measures of taste perception and the determinants of unhealthy weight gain in the said population.
3. Identify relationships among the determinants of unhealthy weight gain that contribute to an individual's susceptibility to obesity.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Obesity

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Exclusion Criteria

* History of diabetes, history of obesity (BMI \> 30).
* History of known inherited medical conditions that might influence future health status.
* Current or planned medication usage that might influence future health status.
* Prior serious injuries/surgeries that might influence future health status.
* Women who are pregnant or breastfeeding (once enrolled, pregnancy will not cause subjects to be terminated from the study).
* Women who are \< 6 months postpartal, or women who have discontinued breastfeeding \< 3 months prior to screening.
* History of cancer (including skin cancer) within 5 years.
* History or organ transplant.
* Previous diagnosis with HIV, Hepatitis B or C, or tuberculosis.
* Abuse of alcohol or illegal drugs.
* Abnormal EKG.
* Presence of pacemaker, defibrillator, or implanted metal.
* History of eating disorders and abnormal psychological scores for the screening measures described under Psychological Assessment Measures in the Appendix. This psychological screening will be conducted approximately two weeks prior to outpatient testing.
Minimum Eligible Age

20 Years

Maximum Eligible Age

35 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Pennington Biomedical Research Center

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Peter T. Katzmarzyk

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Peter Katzmarzyk, Ph.D.

Role: PRINCIPAL_INVESTIGATOR

Pennington Biomedical Research Center

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Pennington Biomedical Research Center

Baton Rouge, Louisiana, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

References

Explore related publications, articles, or registry entries linked to this study.

Harrington DM, Martin CK, Ravussin E, Katzmarzyk PT. Activity related energy expenditure, appetite and energy intake: potential implications for weight management. Appetite. 2013 Aug;67:1-7. doi: 10.1016/j.appet.2013.03.005. Epub 2013 Mar 22.

Reference Type RESULT
PMID: 23523668 (View on PubMed)

Tudor-Locke C, Martin CK, Brashear MM, Rood JC, Katzmarzyk PT, Johnson WD. Predicting doubly labeled water energy expenditure from ambulatory activity. Appl Physiol Nutr Metab. 2012 Dec;37(6):1091-100. doi: 10.1139/h2012-097. Epub 2012 Sep 11.

Reference Type RESULT
PMID: 22963352 (View on PubMed)

Edwards LM, Kemp GJ, Dwyer RM, Walls JT, Fuller H, Smith SR, Earnest CP. Integrating muscle cell biochemistry and whole-body physiology in humans:(31)P-MRS data from the InSight trial. Sci Rep. 2013;3:1182. doi: 10.1038/srep01182. Epub 2013 Jan 31.

Reference Type RESULT
PMID: 23378914 (View on PubMed)

Staiano AE, Marker AM, Martin CK, Katzmarzyk PT. Physical activity, mental health, and weight gain in a longitudinal observational cohort of nonobese young adults. Obesity (Silver Spring). 2016 Sep;24(9):1969-75. doi: 10.1002/oby.21567. Epub 2016 Jul 28.

Reference Type RESULT
PMID: 27465398 (View on PubMed)

Raja GK, Sarzynski MA, Katzmarzyk PT, Johnson WD, Tchoukalova Y, Smith SR, Bouchard C. Commonality versus specificity among adiposity traits in normal-weight and moderately overweight adults. Int J Obes (Lond). 2014 May;38(5):719-23. doi: 10.1038/ijo.2013.153. Epub 2013 Aug 16.

Reference Type RESULT
PMID: 23949614 (View on PubMed)

Staiano AE, Martin CK, Champagne CM, Rood JC, Katzmarzyk PT. Sedentary time, physical activity, and adiposity in a longitudinal cohort of nonobese young adults. Am J Clin Nutr. 2018 Nov 1;108(5):946-952. doi: 10.1093/ajcn/nqy191.

Reference Type RESULT
PMID: 30475973 (View on PubMed)

Katzmarzyk PT, Most J, Redman LM, Rood J, Ravussin E. Energy expenditure and substrate oxidation in White and African American young adults without obesity. Eur J Clin Nutr. 2018 Jun;72(6):920-922. doi: 10.1038/s41430-018-0202-2. Epub 2018 May 30.

Reference Type RESULT
PMID: 29849180 (View on PubMed)

Fazzino TL, Dorling JL, Apolzan JW, Martin CK. Meal composition during an ad libitum buffet meal and longitudinal predictions of weight and percent body fat change: The role of hyper-palatable, energy dense, and ultra-processed foods. Appetite. 2021 Dec 1;167:105592. doi: 10.1016/j.appet.2021.105592. Epub 2021 Jul 8.

Reference Type DERIVED
PMID: 34245802 (View on PubMed)

Lam YY, Redman LM, Smith SR, Bray GA, Greenway FL, Johannsen D, Ravussin E. Determinants of sedentary 24-h energy expenditure: equations for energy prescription and adjustment in a respiratory chamber. Am J Clin Nutr. 2014 Apr;99(4):834-42. doi: 10.3945/ajcn.113.079566. Epub 2014 Feb 5.

Reference Type DERIVED
PMID: 24500151 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

PBRC 27036

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.