The Association Between Food Addiction and Weight Status in School-Age Children and Adolescents

Food addiction and its impact on weight status in children and adolescents: The mediating role of responsive eating pattern

AIMS

This research explores the relationships between food addiction (FA), eating behaviours, and weight status in school-aged children and adolescents, aiming to understand how FA influences weight.

METHODS

By using a cross-sectional design, 426 healthy children and their parents were enroled in Eastern China. FA was assessed using the Chinese version of the Dimensional Yale Food Addiction Scale for Children 2.0 (dYFAS-C 2.0), while eating patterns were identified using latent profile analysis (LPA) derived from the Children's Eating Behaviour Questionnaire (CEBQ). Weight status was indicated by Body Mass Index Z Score (BMIZ) and waist-to-height ratio (WHtR). The associations among FA, eating patterns, and weight status were explored using structural equation modelling (SEM).

RESULTS

Two eating patterns, the Responsive and the Controlled Eating Patterns, were identified. The Responsive Eating Pattern was characterized by high food responsiveness, enjoyment of food, emotional eating, fast eating, low satiety responsiveness, and food fussiness and was associated with FA and weight status (p < 0.001). The SEM results showed the Responsive Eating Pattern partially mediated the relationship between FA and weight status, with a mediation effect of 1.183 (95% CI [0.784, 1.629]) for BMIZ and 0.043 (95% CI [0.025, 0.063]) for WHtR.

CONCLUSION

Increased FA is associated with a higher weight status through a specific eating behaviour pattern characterized by high responsiveness to food, emotional and rapid eating habits, and low satiety. The findings suggest that targeted interventions should take these eating behaviour patterns into account to reduce the impact of FA on weight status among children and adolescents.

Prediction of body fat increase from food addiction scale in school-aged children and adolescents: A longitudinal cross-lagged study

Objective

Food addiction (FA) is associated with a higher body mass index z-score (BMIZ) in children and adolescents; however, whether these two aspects evolve interdependently remains unknown. This study aimed to address this question using a cross-lagged study.

Methods

Weight status, including BMIZ, fat content (FC), and visceral fat level (VFL), was determined in 880 children and adolescents (mean age = 14.02 years [range = 8.83-17.52 years]) at two-time points with an interval of 6 months. FA was characterized using the Chinese version of the dimensional Yale Food Addiction Scale for Children 2.0. Furthermore, FC and VFL were measured using direct segmental multi-frequency bioelectrical impedance analysis at each time point.

Results

Higher FA was associated with increased BMIZ, FC, and VFL (P < 0.05). FA at T0 could predict increased FC at T1 (P < 0.05). The characteristics of females, primary students, and living in urban areas may aggravate the adverse effect of FA on weight status over time and age, particularly the increased VFL in participants aged > 14 years.

Conclusion

Children and adolescents with a high FA level were at risk for weight gain attributed to increased FC, and the adverse effect could be aggravated with time and age. Novel FA-targeting interventions may help mitigate the risk of getting obesity.

Socio-Demographic, Self-Control, Bullying, Parenting, and Sleep as Proximal Factors Associated with Food Addiction among Adolescents

Adolescence is considered an important period of neurodevelopment. It is a time for the emergence of psychosocial vulnerabilities, including symptoms of depression, eating disorders, and increased engagement in unhealthy eating behaviours. Food addiction (FA) in adolescents is an area of study where there has been substantial growth. However, to date, limited studies have considered what demographic characteristics of adolescents may predispose them to endorse greater symptoms of FA. Studies have found a variety of factors that often cluster with and may influence an adolescent's eating behaviour such as sleep, level of self-control, and parenting practices, as well as bullying. Therefore, this study investigated a range of socio-demographic, trait, mental health, and lifestyle-related profiles (including self-control, parenting, bullying, and sleep) as proximal factors associated with symptoms of FA, as assessed via the Yale Food Addiction Scale for Children (YFAS-C) in a large sample of Australian adolescents. Following data cleaning, the final analysed sample included 6587 students (age 12.9 years ± 0.39; range 10.9-14.9 years), with 50.05% identifying as male (n = 3297), 48.5% as female (n = 3195), 1.02% prefer not to say (n = 67), and 0.43% as non-binary (n = 28). Self-control was found to be the most significant predictor of total FA symptom score, followed by female gender, sleep quality, and being a victim of bullying. Universal prevention programs should therefore aim to address these factors to help reduce the prevalence or severity of FA symptoms within early adolescent populations.