Associations between dietary glycemic and insulinemic patterns and eating behavior in adults: a cluster-based analysis
Authors' conclusion
Increased food cravings and maladaptive eating patterns are associated with diets that have higher glycemic or insulin loads. Beyond merely controlling energy intake, dietary interventions that are self-regarding glycemic and insulinemic properties may improve behavioral regulation of eating.
Study context
- Population
- Healthy adults aged 19–64 years
- Participants
- 561 adults
- Exposure
- Dietary glycemic clusters and insulinemic clusters
- Outcome
- Eating behavior (TFEQ-R18, Food Cravings Questionnaire-Trait (FCQ-T)) across glycemic and insulinemic clusters
Methodological detailsk-means cluster analysis
- K-means cluster analysis
Main finding
As reported in the abstract
- High-GL cluster: significantly higher emotional and uncontrolled eating scores, greater susceptibility to food-related cues, negative emotions and guilt
- p < 0.05
- High-IL cluster: elevated emotional and uncontrolled eating scores and food craving subscales (positive and negative reinforcement, emotional triggers, loss of control)
- p < 0.05
Observational data: associations, not effects.
Further findings
Anthropometry across clusters
- Insulinemic clusters: Cluster III had the highest BMI, waist and hip circumference
- P < 0.05
- Glycemic clusters: mean BMI significantly lower in Cluster I; waist and hip circumference did not differ
Original publication
Associations between dietary glycemic and insulinemic patterns and eating behavior in adults: a cluster-based analysis. Int J Obes (Lond). Published 18 March 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →