Childhood emotional abuse from authority figures encompasses verbal abuse, emotional rejection, and overexpectations. Although global emotional abuse is an established correlate of body dissatisfaction and disordered eating, the unique roles of these specific subtypes remain underexamined. Across two studies of adult women recruited from CloudResearch (Ns = 2566; 824), we evaluated associations between authority figure abuse subtypes, body image, and dietary restraint. Bivariate correlations revealed that all subtypes related to poorer body image and higher restraint. Hierarchical regressions demonstrated that emotional abuse subtypes explained incremental variance across outcomes beyond demographic factors. When modeled simultaneously, overexpectations emerged as the sole subtype independently associated with overweight preoccupation, cognitive restraint, and dietary restraint, whereas verbal abuse and emotional rejection were not. However, high shared variance among subtypes attenuated the unique statistical association of overexpectations. These findings highlight authority overexpectations as a potential developmental correlate of weight-related distress. Future prospective research should examine whether experiencing overexpectations relates to internalized perfectionism or rejection sensitivity, and expand traditional appearance-focused models to encompass broader relational stressors.

Background: Overweight, obesity, and type 2 diabetes (T2DM) increase the risk of vascular complications, including retinal vascular alterations. Artificial intelligence (AI)-based retinal screening enables early detection of microvascular damage, potentially contributing to appropriate cardiometabolic prevention strategies. We performed a realworld evidence observational study to assess cardiometabolic parameters as well as retinal vascular alterations using novel AI-based retinal imaging.Methods: Between September and December 2025, we recruited 301 consecutive adults with overweight,obesity, or T2DM; cardiometabolic assessment was performed, and all participants also underwent retinal screening with the Aireen AI system, distinguishing those who resulted positive (n = 42), negative (n = 204), or undetermined (n = 55) at the screening.Results: All patients who resulted positive at the screening were confirmed with a diagnosis of retinal alterations by the ophthalmologists. The presence of positive retinal screening (RS+) progressively increased with worsening fasting glycemia, glycated hemoglobin (HbA1c) levels, carotid intima-media thickness, and endothelial function (P < 0.001 for all). Multivariate logistic regression analysis revealed independent associations of RS+ with HbA1c [odds ratio (OR) 2.29, P < 0.001], carotid stenosis (OR 1.06, P < 0.001), fasting glucose (OR 1.02, P < 0.001), and the triglyceride/high-density lipoprotein cholesterol ratio (OR 2.19, P = 0.010).Conclusions: These findings suggest that AIbased retinal screening with advanced tools can effectively identify early microvascular damage in individuals with overweight, obesity, or T2DM, with RS+ prevalence reflecting glycemic burden and vascular dysfunction. Therefore, integrating AI retinal assessment into cardiometabolic prevention programs may enable timely interventions to prevent progression to vision-threatening complications and support comprehensive cardiovascular risk management.