Psychosocial Aspects and Eating Behavior Contributing to a Model for Maintaining and Strengthening the Population Health

The goal was to define the role of psychosocial factors and eating disorders in a metabolic health model. Materials and methods. The study included 2176 participants, 64.8% (n=1411) of whom were women and 35.2% (n=765) were men with the median age of 41 [27; 53] years. Socio-demographic characteristics, behavioral risk factors, symptoms, and manifestations of eating disorders were assessed using the DSM-5 criteria and the Dutch Eating Behavior Questionnaire (DEBQ); for the risk assessment of carbohydrate metabolism disorders, the FINDRISK scale was used; anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS); the severity of depressive disorders were defined using the Beck Depressive Inventory (BDI); and the level of reactive and personal anxiety was assessed using the State-Trait Anxiety Inventory (STAI). Results. Confirmed bulimia nervosa or binge eating disorders increase the risk of carbohydrate metabolism disorders by 2.8 times (95% CI: 1.8-3.2, p = 0.033). The combination of traditional risk factors and an eating disorder increase the risk of carbohydrate metabolism disorders. In individuals over 45 years with confirmed eating disorders, the risk of developing prediabetes and diabetes associated with an eating disorder is increased by 2.2 times (95% CI: 1.9-2.5; p=0.003). The combination of obesity and an eating disorder increases the probability of developing carbohydrate metabolism disorders by 2.8 times (95% CI: 2.4-3.2, p=0.005). Reactive and personal anxiety in patients with an eating disorder increases the risk of carbohydrate metabolism disorders by 2.9 and 3.4 times, respectively (p<0.05). The combination of traditional risk factors and an eating disorder increase the risk of carbohydrate metabolism disorders by 8 times (95% CI: 6.7-9.8, p=0.001). Conclusion. Eating disorders are associated with psychosocial factors and the risk of developing metabolism disorders, which allows to consider them as predictive factors for the development of carbohydrate metabolism disorders.

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