2f:I[703058,["/_next/static/immutable/chunks/3bhq_5eh1d760.js","/_next/static/immutable/chunks/1855-ogyi8eh4.js","/_next/static/immutable/chunks/2pfsjpn6k6zlg.js","/_next/static/immutable/chunks/26c7v3_3uwnwu.js","/_next/static/immutable/chunks/25a3ozcrvi1ff.js","/_next/static/immutable/chunks/2r4wx50nvjh_4.js","/_next/static/immutable/chunks/23fsw06hsi5b1.js","/_next/static/immutable/chunks/06_yt270h41rg.js","/_next/static/immutable/chunks/3ezsiz-7shkna.js","/_next/static/immutable/chunks/20x2y96ldu5wx.js","/_next/static/immutable/chunks/2lxntcm3pd1_h.js","/_next/static/immutable/chunks/00dgco8irq3jw.js","/_next/static/immutable/chunks/00nwe-kq0rboc.js","/_next/static/immutable/chunks/2051ffx3xzio9.js"],"PaperListPageClient"] 30:Tc51,Childhood traumatic experiences (CTEs) represent a significant vulnerability factor for addiction-like eating behaviors, yet the underlying developmental pathways remain poorly understood. According to infancy research and attachment theory, this study tested a comprehensive mediation model examining how CTEs contribute to addiction-like eating patterns (i.e., appetite drive and low diet control) through attachment insecurity, impaired reflective functioning, and emotional eating. A cross-sectional study was conducted on a conventional non-clinical sample 1,014 Italian adults. Participants completed a set of validated and standardized scales. Structural equation modeling with latent variables and bootstrap resampling (10,000 iterations) was employed to test the hypothesized model. The model demonstrated adequate fit and supported all hypotheses. CTEs significantly predicted both attachment anxiety, attachment avoidance, and impaired reflective functioning. Attachment anxiety, but not avoidance, mediated the relationship between CTEs and impaired reflective functioning. Also, impaired reflective functioning significantly predicted emotional eating, which in turn predicted both appetite drive and low dietary control. The complete mediation pathway was statistically significant, explaining 53.5% of variance in appetite drive and 20.6% in dietary control. These findings provide the first empirical support for a trauma-based developmental model of addiction-like eating behaviors. The results highlight the central role of attachment anxiety and impaired reflective functioning in linking early relational trauma to emotional eating and food addiction-like patterns. Clinical implications suggest that mentalization-based interventions targeting attachment insecurity and emotion regulation may be particularly beneficial for individuals with trauma histories and problematic eating behaviors. People who experienced difficult or harmful relationships with caregivers during childhood, such as abuse or neglect, are more likely to develop unhealthy eating patterns that resemble addiction. This study explored how this happens. We surveyed over 1,000 Italian adults and found that childhood trauma creates a chain reaction. First, these early negative experiences often lead people to feel anxious in their relationships and struggle to understand their own emotions and those of others. When people cannot recognize or manage their feelings well, they may turn to food for comfort, eating to cope with stress rather than hunger. Over time, this emotional eating can develop into addiction-like behaviors, including intense cravings for certain foods and difficulty controlling how much they eat. Our findings suggest that treating problematic eating patterns requires addressing more than just food and diet. Therapies that help people better understand their emotions, improve their relationships, and develop healthier ways to manage stress may be especially helpful for those who experienced childhood trauma. Understanding these connections can lead to more effective support for people struggling with food-related difficulties.31:T9f5,Abstract Introduction Childhood traumatic experiences (CTEs) represent a significant vulnerability factor for addiction-like eating behaviors, yet the underlying developmental pathways remain poorly understood. According to infancy research and attachment theory, this study tested a comprehensive mediation model examining how CTEs contribute to addiction-like eating patterns (i.e., appetite drive and low diet control) through attachment insecurity, impaired reflective functioning, and emotional eating. Method A cross-sectional study was conducted on a conventional non-clinical sample 1,014 Italian adults. Participants completed a set of validated and standardized scales. Structural equation modeling with latent variables and bootstrap resampling (10,000 iterations) was employed to test the hypothesized model. Results The model demonstrated adequate fit and supported all hypotheses. CTEs significantly predicted both attachment anxiety, attachment avoidance, and impaired reflective functioning. Attachment anxiety, but not avoidance, mediated the relationship between CTEs and impaired reflective functioning. Also, impaired reflective functioning significantly predicted emotional eating, which in turn predicted both appetite drive and low dietary control. The complete mediation pathway was statistically significant, explaining 53.5% of variance in appetite drive and 20.6% in dietary control. Discussion These findings provide the first empirical support for a trauma-based developmental model of addiction-like eating behaviors. The results highlight the central role of attachment anxiety and impaired reflective functioning in linking early relational trauma to emotional eating and food addiction-like patterns. Clinical implications suggest that mentalization-based interventions targeting attachment insecurity and emotion regulation may be particularly beneficial for individuals with trauma histories and problematic eating behaviors. 32:Tf9f,Food addiction (FA) is a condition in which ultra-processed foods (UPFs) activate the brain's reward pathways, leading to binge eating, loss of control, and continued consumption despite negative consequences. It can appear early in childhood and is linked to behavioral, sociodemographic, and metabolic factors. This study assessed the contribution of FA, its structure, and connectivity in relation to sociodemographic, nutritional status, and metabolic variables in network analysis. A cross-sectional study was conducted with 93 children (7-11 years old) living in Vitória de Santo Antão, Brazil. FA was assessed using the Yale Food Addiction Scale for Children, which was translated and validated for the Brazilian child population. Sociodemographic (age, sex, race, socioeconomic class), anthropometric (body weight, height, waist circumference, BMI, BMI-for-age, body fat percentage, lean mass, and fat mass), and metabolic (blood pressure, total cholesterol, triglycerides, HDL, LDL, and fasting glucose) factors were analyzed. For network analysis, the degree centrality (DC), closeness centrality (CC), betweenness centrality (BC), and eigenvector centrality (EC) were evaluated. FA exhibited moderate centrality in sociodemographic and metabolic networks, acting as a connector between key variables such as age and socioeconomic class (BC = 0.071-0.500; EC = 0.301-0.500; CC = 0.636-0.667). These metrics indicate that FA, while not dominant, maintains access to influential nodes and participates in relevant information pathways. In contrast, within the anthropometric network, FA showed a peripheral role, with fewer direct links (DC = 0.222-0.285) and limited intermediation (BC = 0.111). Variation in centrality across domains underscores the selective integration of FA, suggesting that its impact is context dependent. Food Addiction (FA) has been associated with compulsive eating, tolerance, withdrawal symptoms, and clinically significant distress related to the consumption of ultra-processed foods. This condition has increasingly affected children at an early age and has contributed to health impairments, particularly those related to obesity. In addition, FA has been identified as an outcome linked to sociodemographic factors such as age and gender. Given its complex nature, multidimensional investigations are essential to improve our understanding of this phenomenon.What the Study Did: This study analyzed 93 children between 7 and 11 years of age. We investigated the presence of FA, sociodemographic characteristics (age, sex, race, and socioeconomic level), nutritional status (BMI-for-age, BMI, weight, height, waist circumference, body fat percentage, lean mass in kilograms, and fat mass), and metabolic variables (systolic and diastolic blood pressure, total cholesterol, triglycerides, high-density lipoprotein [HDL], low-density lipoprotein [LDL], and fasting glucose). The data were examined using mathematical modeling through network analysis.What the Study Found: A FA frequency of 25% was observed among the participants. In the network analysis integrating sociodemographic and metabolic variables, FA contributed to the overall structure of the network, although not in a dominant manner, showing connections primarily with age and socioeconomic status. In the anthropometric network, FA occupied a peripheral position, exhibited weak associations, and did not function as an important mediator within the system.Why It Matters: Although FA is not a central variable in the network, it still exhibits a meaningful, though not dominant, influence, particularly through its associations with age and socioeconomic status. Moreover, its weak connections with anthropometric variables suggest that the presence of FA may not be readily captured by traditional physical measures. This highlights the need to consider the broader environmental and contextual factors in which children are embedded when evaluating and addressing FA.33:T9ca,Abstract Background Food addiction (FA) is a condition in which ultra-processed foods (UPFs) activate the brain's reward pathways, leading to binge eating, loss of control, and continued consumption despite negative consequences. It can appear early in childhood and is linked to behavioral, sociodemographic, and metabolic factors. This study assessed the contribution of FA, its structure, and connectivity in relation to sociodemographic, nutritional status, and metabolic variables in network analysis. Methods A cross-sectional study was conducted with 93 children (7–11 years old) living in Vitória de Santo Antão, Brazil. FA was assessed using the Yale Food Addiction Scale for Children, which was translated and validated for the Brazilian child population. Sociodemographic (age, sex, race, socioeconomic class), anthropometric (body weight, height, waist circumference, BMI, BMI-for-age, body fat percentage, lean mass, and fat mass), and metabolic (blood pressure, total cholesterol, triglycerides, HDL, LDL, and fasting glucose) factors were analyzed. For network analysis, the degree centrality (DC), closeness centrality (CC), betweenness centrality (BC), and eigenvector centrality (EC) were evaluated. Results FA exhibited moderate centrality in sociodemographic and metabolic networks, acting as a connector between key variables such as age and socioeconomic class (BC = 0.071–0.500; EC = 0.301–0.500; CC = 0.636–0.667). These metrics indicate that FA, while not dominant, maintains access to influential nodes and participates in relevant information pathways. In contrast, within the anthropometric network, FA showed a peripheral role, with fewer direct links (DC = 0.222–0.285) and limited intermediation (BC = 0.111). Conclusion Variation in centrality across domains underscores the selective integration of FA, suggesting that its impact is context dependent. 25:[[["$","script","0",{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"CollectionPage\",\"name\":\"Food Addiction: condition Research & Clinical Takeaways\",\"description\":\"Explore peer-reviewed papers on Food Addiction (condition). Clinician-written summaries and actionable practice insights. 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