Please select the outcome measures that correspond to the clinical trial below.
Title: Do Insulin Secretion or Genotype Pattern Predict Low Fat vs Low Carb Weight Loss Success?
Brief Summary: Genomics research is advancing rapidly, and links between genes and obesity continue to be discovered and better defined. A growing number of single nucleotide polymorphisms (SNPs) in multiple genes have been shown to alter an individual's response to dietary macronutrient composition. Based on prior genetic studies evaluating the body's physiological responses to dietary carbohydrates or fats, the investigators identified multi-locus genotype patterns with SNPs from three genes (FABP2, PPARG, and ADRB2): a low carbohydrate-responsive genotype (LCG) and a low fat-responsive genotype (LFG). In a preliminary, retrospective study (using the A TO Z weight loss study data), the investigators observed a 3-fold difference in 12-month weight loss for initially overweight women who were determined to have been appropriately matched vs. mismatched to a low carbohydrate (Low Carb) or low fat (Low Fat) diet based on their multi-locus genotype pattern. The primary objective of this study is to confirm and expand on the preliminary results and determine if weight loss success can be increased if the dietary approach (Low Carb vs. Low Fat) is appropriately matched to an individual' s genetic predisposition (Low Carb Genotype vs. Low Fat Genotype) toward those diets.


Options:
A: Feasibility measured by recruitment and retention rates (1 year in a 9 year study)
B: The primary objective will be to compare the effects of the two different diet recommendations with respect to the one-year change in body weight.
C: Change from baseline in weight at 12 months (Baseline and 12 months)
D: Predicted Mean Difference in Body Weight From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in Lean Mass From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in Fat Mass From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences of Waist Circumference From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in Total Cholesterol Level From Baseline by Assigned Dietary Group (12 months); Predicted Mean Differences in LDL Cholesterol Level From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in HDL Cholesterol From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in Total-HDL Cholesterol Ratio From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in Triglycerides From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in Systolic Blood Pressure From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Difference in Diastolic Blood Pressure, by Assigned Dietary Group (12 Months); Predicted Mean Difference in Plasma Glucose Level, by Assigned Dietary Group (12 months); Predicted Mean Differences in Serum Insulin Level From Baseline, by Assigned Dietary Group (12 months); Predicted Mean Differences in C-reactive Protein Level From Baseline, by Assigned Dietary Group (12 Months); Predicted Mean Differences in Serum Creatinine Level From Baseline, by Assigned Dietary Group (12 Months); Predicted Mean Differences of 10-y Framingham Risk Score From Baseline, by Assigned Dietary Group (12 Months)

Answer: C