The Study
Effect of a Personalized Diet to Reduce Postprandial Glycemic Response vs a Low-fat Diet on Weight Loss in Adults With Abnormal Glucose Metabolism and Obesity
This study is like a fair test where two groups of people tried different diets to lose weight—one group got a custom plan based on their body, and the other got a standard low-fat plan. After six months, both groups lost about the same amount of weight, so we can’t say one diet is better than the other. It doesn’t prove one causes weight loss, but it does show what happened when people tried each one.
Analysis score
Maximum 90 for a randomized controlled trial.
Where the score came from
Scientists tested if a diet that uses a computer to tell you which foods spike your blood sugar helps you lose more weight than a regular low-fat diet.
Where does this study sit?
Reviews of RCTs (Meta-analyses)
Max 100Randomized Trials
Max 90Reviews of Cohort Studies
Max 85Cohort Studies
Max 72Reviews of Case-Control Studies
Max 63Case-Control Studies
Max 58Cross-Sectional & Case Series
Max 50Expert Opinion
Max 570 / 100
Quality score
Participants are randomly assigned to treatment or control groups, minimizing bias. The gold standard for testing whether an intervention causes an effect.
Key takeaways
Summary
Based on the study abstract and findings.
- 1Even though people followed the personalized diet more closely, they didn’t lose more weight — meaning the fancy food advice didn’t give extra benefit for losing pounds.
- 2Both groups lost weight: low-fat group lost 4.3%, personalized group lost 3.3%.
- 3The difference wasn't big enough to matter statistically.
- 4People on the personalized diet logged their food more often.
Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data
Publication
Journal
JAMA Network Open
Year
2022
Authors
C. Popp, Lu Hu, A. Kharmats, M. Curran, Lauren T Berube, Chan Wang, M. Pompeii, P. Illiano, D. St-Jules, M. Mottern, Huilin Li, N. Williams, Antoinette M. Schoenthaler, E. Segal, A. Godneva, Diana M. Thomas, M. Bergman, A. Schmidt, M. Sevick
Related Content
Claims (6)
In adults with obesity and impaired glucose metabolism, a diet customized using machine learning to control blood sugar after meals leads to the same amount of weight loss over six months as a standard low-fat diet.
In adults with obesity and impaired glucose metabolism, those following a personalized diet based on blood sugar targets logged their food on more days per week than those on a low-fat diet, with 54.3% of days logged compared to 41.1%.
Among adults with obesity and impaired glucose metabolism, a standardized low-fat diet causes a larger decrease in resting energy expenditure after six months than a personalized diet targeting blood sugar levels, with a measured difference of 92.3 kcal per day.
Among adults with obesity and impaired glucose metabolism, those who started a weight-loss diet before the COVID-19 pandemic lost the same amount of weight after six months as those who started after the pandemic began.
People who follow an 18-week personalized diet lose more weight and have lower HbA1c levels than those who follow standard dietary advice.
In a 6-month diet study with adults who have obesity and abnormal glucose metabolism, 83% of those receiving personalized feedback completed the program, compared to 73% of those on a low-fat diet; the difference in completion rates was not statistically significant.
Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.