ObesityInSightNCT00945633
Dietary, Physiological, Genetic, and Behavioral Predictors of Health in a Young, Ethnically-Mixed Population
An observational study of Obesity, run by Pennington Biomedical Research Center at 1 site in United States.
Trial 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. Read more about this study
- Who is it for?
- Ages 20 to 35 yearsHealthy volunteers can take part
- Conditions the study is for
- Obesity
- How many people
- 90 participants
- Where
- 1 siteUnited States
- Study dates
- Jun 2008to Aug 2030
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 to 35 years
- All sexes
- Healthy volunteers accepted
- Adult
Study population: The sample includes 90 free-living participants aged 20-35 years.
Who may be able to join
- Inclusion criteria will be healthy men and women between the ages of 20-35, with BMI < 27.5 kg/m2, and fasting blood glucose < 126 mg/dl.
Who cannot join
- 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.
Show all 13Show fewer
- 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.
Trial locations and contacts
1 site in 1 country.
United States1 site
Pennington Biomedical Research Center
Baton Rouge, Louisiana, 70808
About this study
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.
Read more
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.
Read the detailed description
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
- Identify dietary, physiological, genetic and behavioral determinants of unhealthy weight gain in healthy, young, ethnically-mixed men and women.
- Identify relationships between genetic measures of taste perception and the determinants of unhealthy weight gain in the said population.
- Identify relationships among the determinants of unhealthy weight gain that contribute to an individual's susceptibility to obesity.
- Conditions
- Obesity
- Keywords
- Obesity, unhealthy weight gain
- Medical subject headings
- Obesity
What is being measured
The primary outcome is the main question the study is designed to answer.
Changes in body weight
Changes in body weight (kg) from baseline
Measured: Annually over 2 years
Secondary outcomes (1)
Changes in fat mass
Changes in fat mass (kg) from baseline
Measured: Annually over 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Jul 2009 (estimated)
- Study startJun 2008
- Primary completionAug 2030 (estimated)
- Study completionAug 2030 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (9)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 90 participants (actual)
Sponsor and investigators
- Lead sponsor
- Pennington Biomedical Research Center
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Peter T. Katzmarzyk, Pennington Biomedical Research Center
- Investigators
- Peter Katzmarzyk, Ph.D., Principal investigator, Pennington Biomedical Research Center
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT00945633
- Sponsor's protocol ID
- PBRC 27036
- Acronym
- InSight
- Status last verified
- Sep 2026
- First submitted
- 22 Jul 2009
- Last updated
- 24 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- Individual data sharing
- No
Publications
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.
PubMed 23523668Tudor-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.
PubMed 22963352Edwards 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.
PubMed 23378914Staiano 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.
PubMed 27465398Raja 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.
PubMed 23949614Staiano 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.
PubMed 30475973Katzmarzyk 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.
PubMed 29849180Fazzino 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.
PubMed 34245802Lam 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.
PubMed 24500151
Study at a glance
From the registry record, last updated by the sponsor on 24 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Dietary, Physiological, Genetic, and Behavioral Predictors of Health in a Young, Ethnically-Mixed Population
- ClinicalTrials.gov ID
- NCT00945633
- Acronym / sponsor ID
- InSight / PBRC 27036
- Conditions
- Obesity
- Keywords
- Obesity, unhealthy weight gain
- Study type
- Observational
- Recruitment status
- Active, not recruiting
- Enrolment
- 90 participants (actual)
- Lead sponsor
- Pennington Biomedical Research CenterUniversity, hospital or other
- Study start
- Jun 2008 (actual)
- Primary completion
- Aug 2030 (estimated)
- Study completion
- Aug 2030 (estimated)
- First posted
- 24 Jul 2009 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
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
- Identify dietary, physiological, genetic and behavioral determinants of unhealthy weight gain in healthy, young, ethnically-mixed men and women.
- Identify relationships between genetic measures of taste perception and the determinants of unhealthy weight gain in the said population.
- Identify relationships among the determinants of unhealthy weight gain that contribute to an individual's susceptibility to obesity.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 20 to 35 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
- Study population
- The sample includes 90 free-living participants aged 20-35 years.
Key inclusion criteria (1 listed)
- Inclusion criteria will be healthy men and women between the ages of 20-35, with BMI < 27.5 kg/m2, and fasting blood glucose < 126 mg/dl.
Key exclusion criteria (13 listed)
- 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).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Changes in body weight
Time frame: Annually over 2 years
Changes in body weight (kg) from baseline
1 secondary outcome
Changes in fat mass
Time frame: Annually over 2 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Sep 2026.
- Results publication: PubMed 23523668Harrington 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.
- Results publication: PubMed 22963352Tudor-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.
- Results publication: PubMed 23378914Edwards 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.
- Results publication: PubMed 27465398Staiano 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.
- Results publication: PubMed 23949614Raja 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.
- Results publication: PubMed 30475973Staiano 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.
- Results publication: PubMed 29849180Katzmarzyk 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.
- Derived from this study: PubMed 34245802Fazzino 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.
- Derived from this study: PubMed 24500151Lam 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.
- Individual participant dataSharing planned: No
Related trials for Obesity
RecruitingObservational study
Endoscopic Sleeve Gastroplasty (ESG) Prospective Trial for Obesity (EGO-Trial)
Obesity
Active, not recruitingPhase 4
Effects of Sequential Therapy With Mexidol® (Intravenous) and Mexidol® FORTE 250 (Oral) on Functional Brain Activity Assessed by Functional Magnetic Resonance Imaging and Biochemical Parameters in Patients With Chronic Cerebral Ischemia: A Comparison of Patients With and Without Metabolic Disorders
Metabolic Abnormalities, Obesity & Overweight
Recruiting
Exercise Training and Vitamin D Metabolism
Obesity & Overweight, Vitamin D
Recruiting
Metabolic Health, Bones and Nuts During Weight Loss in Adults
Weight Loss, Bone Density
Active, not recruiting
Effect of Probiotics on Insulin Sensitivity in Overweight and Obese Pregnancy
Obesity & Overweight, Gestational Diabetes Mellitus (GDM)
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Peter Katzmarzyk, Ph.D. principal investigator
Pennington Biomedical Research Center
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity, run by Pennington Biomedical Research Center at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 13 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 24 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Changes in body weight (time frame: Annually over 2 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT00945633, which also lists 9 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Sep 2026.