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

NCT00945633 | Active Not Recruiting

• 1 other identifier: PBRC 27036
• Study Type: observational
• Target: 90
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Obesity

Keywords

Obesity; unhealthy weight gain

Outcome Measures

Primary Outcomes (1)

• Changes in body weight

  Changes in body weight (kg) from baseline

  Annually over 2 years

Secondary Outcomes (1)

• Changes in fat mass

  Annually over 2 years

Eligibility Criteria

• Age: 20 Years - 35 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

The sample includes 90 free-living participants aged 20-35 years.

You may not qualify if:

• 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.

Sponsors & Collaborators

• Pennington Biomedical Research Center: lead

Study Sites (1)

Pennington Biomedical Research Center

Baton Rouge, Louisiana, 70808, United States

Location

Related Publications (9)

• 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.

  PMID: 23523668 RESULT

• 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.

  PMID: 22963352 RESULT

• 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.

  PMID: 23378914 RESULT

• 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.

  PMID: 27465398 RESULT

• 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.

  PMID: 23949614 RESULT

• 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.

  PMID: 30475973 RESULT

• 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.

  PMID: 29849180 RESULT

• 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.

  PMID: 34245802 DERIVED

• 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.

  PMID: 24500151 DERIVED

Biospecimen

Retention: SAMPLES WITH DNA

Archival repository

MeSH Terms

Conditions

Obesity

Condition Hierarchy (Ancestors)

Overweight; Overnutrition; Nutrition Disorders; Nutritional and Metabolic Diseases; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Officials

• Peter Katzmarzyk, Ph.D.

  Pennington Biomedical Research Center

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: July 22, 2009
• First Posted: July 24, 2009
• Study Start: June 1, 2008
• Primary Completion (Estimated): August 1, 2030
• Study Completion (Estimated): August 1, 2030
• Last Updated: August 22, 2025

Record last verified: 2025-08

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)