The Study
A randomized clinical trial comparing low-fat versus precision nutrition-based diets for weight loss: impact on glycemic variability and HbA1c.
This study compared two diets: one that gave everyone the same advice, and one that used a computer app to give personalized food tips. It found that both diets helped lower blood sugar about the same amount. So, the fancy app didn’t make a big difference. That means we can’t say the app causes better blood sugar control — it just didn’t help more than regular advice.
Analysis score
Maximum 90 for a randomized controlled trial.
Where the score came from
Scientists tested if a fancy app that tells you which foods spike your blood sugar works better than just eating fewer calories on a low-fat plan.
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 584 / 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.
- 1These changes are statistically real but too small to matter much for daily health — like losing a few grams of sugar over six months.
- 2Both groups lowered their blood sugar swings by about 0.8 mg/dL per month and HbA1c by 0.02% per month — no difference between the app group and the simple diet group.
Score breakdown, methodology, conflicts of interest, evidence analysis & raw study data
Publication
Journal
The American journal of clinical nutrition
Year
2023
Authors
A. Kharmats, C. Popp, Lu Hu, Lauren T Berube, M. Curran, Chan Wang, M. Pompeii, Huilin Li, M. Bergman, D. St-Jules, E. Segal, Antoinette M. Schoenthaler, N. Williams, A. Schmidt, Souptik Barua, M. Sevick
Related Content
Claims (7)
There is not enough clinical trial evidence to confirm that personalized nutrition apps work as intended.
In adults with prediabetes or type 2 diabetes, a 6-month calorie-restricted diet leads to the same small reductions in blood sugar fluctuations and HbA1c levels whether the diet plan is standardized or personalized using glucose predictions, as long as both groups consume the same number of calories and receive the same behavioral counseling.
In adults with prediabetes or type 2 diabetes, personalized nutrition programs are less effective when users log their food intake infrequently, and consistent behavior matters more than the accuracy of the algorithm.
In adults with prediabetes or moderately controlled type 2 diabetes, reducing total calorie intake without changing food choices leads to small but measurable decreases in blood sugar fluctuations and HbA1c levels after six months.
Nutrition prediction tools created using data from Israeli people do not work as well for people in the U.S. with prediabetes or type 2 diabetes because of differences in gut bacteria, eating habits, and social factors, and they require local testing to be reliable.
Behavioral weight loss programs using group counseling and digital self-monitoring, based on the Diabetes Prevention Program model, result in small but measurable decreases in blood sugar fluctuations and HbA1c levels in adults with prediabetes or moderately controlled type 2 diabetes, regardless of what they eat.
Not medical advice. For informational purposes only. Always consult a qualified healthcare professional before making health decisions.