Pennington Biomedical Research Center
Baton Rouge, Louisiana, 70806, United States
NCT Number: NCT04145466
A person's genetic code is believed to affect how much weight he/she will lose during diets that vary in carbohydrate and dietary fat content. 'Carbohydrate responders' are hypothesized to lose more weight on diets that are high in carbohydrates, as compared to high in fats. 'Fat responders' are hypothesized to lose more weight on diets that are high in dietary fat, as compared to high in carbohydrates. The purpose of the proposed study is to test these hypotheses in a randomized controlled trial.
Looking for future studies?
Notify Me18 year–75 year
All sexes
Interventional
Not applicable
Baton Rouge, Louisiana, 70806, United States
Obesity and its comorbidities are major public health challenges. To combat the obesity pandemic, many weight-loss strategies have been studied, often emphasizing either high carbohydrate (low fat) diets or high fat (low carbohydrate) diets. Mean weight loss differences between high-carbohydrate and high-fat diets that induce equal caloric deficits have been reported to be small; however, the individual weight loss response varies substantially within diet groups, suggesting that different individuals react differently to high-carbohydrate or high-fat diets. This assumption is supported by retrospective data showing that participants with carbohydrate-responsive polymorphisms lost 2-3 times more weight when assigned to a high-carbohydrate diet compared to a high-fat diet, and vice versa for those with dietary fat-responsive polymorphisms. Conversely, a recent randomized clinical trial aimed to determine the effect of a healthy high-fat diet (high in unsaturated fats) vs. a healthy high-carbohydrate diet (high in whole-grain foods) on 12-month weight change but did not find significant differences between the two groups and failed to find the hypothesized association between genotype patterns and weight loss induced by diets that varied in fat and carbohydrate content. However, an important caveat of their approach is that the single nucleotide polymorphisms selected by the investigators had not been previously associated with obesity or with dietary responses, which may explain their lack of predictive value in identifying differences in inter-individual responses. In addition, the fat composition of the diets was relatively high in both high- and low-fat groups. The inconsistent findings in the literature indicate a need for further research to determine if genetic factors affect weight loss when exposed to diets that vary in carbohydrates and dietary fats.
The purpose of this randomized controlled parallel arm trial is to test the following hypotheses.
Hypothesis 1 will test if participants assigned to the diet that corresponds to their genotype lose more weight than those assigned to a diet inconsistent with their genotype.
Hypothesis 2 will analyze the fat responders and carbohydrate responders separately.
Carbohydrate responders and fat responders will be randomized to one of the following two diets:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
It is estimated that approximately 1/3 of people are fat responders, 1/3 are carbohydrate responders, and 1/3 are neither or will respond to either diet. Only carbohydrate and fat responders are eligible.
Exclusion criteria
The high-fat diet will consist of ~40% energy from fat and ~45% from carbohydrates. Protein will be 15% of energy.
All participants will be assigned an energy intake target that will result in a daily deficit of ~750 kcal, though no energy intake targets below 1,100 kcal/d (women) and 1,300 kcal/day (men) will be prescribed
The high-carbohydrate diet will consist of ~20% of energy from fat and ~65% from carbohydrates. Protein will be 15% of energy.
All participants will be assigned an energy intake target that will result in a daily deficit of ~750 kcal, though no energy intake targets below 1,100 kcal/d (women) and 1,300 kcal/day (men) will be prescribed
Time frame: Baseline to 12 weeks
Weight (kg) at 12 weeks minus weight at baseline (kg)
Time frame: Baseline to 12 weeks
Weight change (kg) / weight at baseline (kg) * 100
Time frame: Baseline to 12 weeks
Waist circumference (cm) at 12 weeks minus waist circumference at baseline (cm)
Time frame: Baseline to 12 weeks
Food cravings are assessed via the total score of the 33-item Food Craving Inventory (FCI). The FCI is scaled in a frequency format, assessing the frequency with which an individual experiences a craving for a particular food. All items are scored in the following manner: Never = 1, Rarely = 2, Sometimes = 3, Often = 4, & Always = 5. Responses from all 33 items are then averaged to produce a total score (range 1-5). Lower total scores indicate a low frequency of cravings across several food groups including high fat foods, sweets, carbohydrates, fast food fats, and fruits and vegetables while higher total scores indicate a high frequency of cravings across these food groups.
Change in food cravings is calculated as FCI total score at 12 weeks minus FCI total score at baseline.
Time frame: Baseline to 12 weeks
Preference for high- versus low-fat foods is measured with the 74-item Food Preference Questionnaire (FPQ). Individual items in the FPQ measure the preference for either a high fat food or a low fat food on a 9-point Likert scale with the following anchors: 1 = dislike extremely; 5 = neutral, neither like nor dislike; 9 = like extremely.
The fat preference index (range: 1/9 - 9) is then calculated as the mean rating for high-fat foods divided by the mean rating for low-fat foods. Values greater than 1.0 reflect a higher fat preference, and values less than 1.0 reflect a lower fat preference.
Change in Fat Preference Index is calculated as Fat Preference Index at 12 weeks minus Fat Preference Index at baseline.
Time frame: Baseline to 12 weeks
Score on the Disinhibition subscale (16-items) of the 36-item Three-Factor Eating Questionnaire. Items are scored as 'true'=1 or 'false'=0. The Disinhibition score (range: 1-16) is calculated as a sum score of all items within that subscale such that low scores indicate more inhibition while higher scores indicate more disinhibition
Change in Disinhibition is calculated as the score on the Disinhibition subscale at 12 weeks minus the score on the Disinhibition subscale at baseline.
Time frame: Baseline to 12 weeks
Score on the Hunger subscale (14 items) of the 36-item Three-Factor Eating Questionnaire. Items are scored as 'true'=1 or 'false'=0. The Hunger score (range: 1-14) is calculated as a sum score of all items within that subscale such that low scores indicate a lower tendency to be hungry while higher scores indicate a greater tendency to be hungry.
Change in Hunger is calculated as the score on the Hunger subscale at 12 weeks minus the score on the Hunger subscale at baseline.
Time frame: Baseline to 12 weeks
Score on the Cognitive Restraint subscale (21 items) of the 36-item Three-Factor Eating Questionnaire. Items are scored as 'true'=1 or 'false'=0. The Cognitive Restraint score (range: 1-21) is calculated as a sum score of all items within that subscale such that low scores indicate less cognitive restraint while higher scores indicate greater cognitive restraint.
Change in Cognitive Restraint is calculated as the score on the Cognitive Restraint subscale at 12 weeks minus the score on the Cognitive Restraint subscale at baseline
Pennington Biomedical Research Center
Other
The Personalized Nutrition Study: Evaluation of a Genetically-informed Weight Loss Approach
Acronym: POINTS
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT00687115
Body Weight, Body Weight Changes
Phoenix, Arizona, United States
View Trial DetailsNCT05184361
Body Weight, Body Weight Changes
Cruz Quebrada, Lisbon District, Portugal
View Trial DetailsNCT07718516
Body Weight, Body Weight Changes
New York, United States
View Trial DetailsNCT04364282
Attrition, Body Weight
Kansas City, Missouri, United States
View Trial Details