Obesity research & clinical practice · 2026
Food categorization strategies in adults living with obesity: the role of orthorexia nervosa and food addiction.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Lakritz Clara, Hudon Gabrielle, Lafraire Jérémie, Iceta Sylvain
Аннотация
OBJECTIVE: Obesity is associated with societal pressure to eat "Работает", potentially increasing the risk of orthorexia nervosa (ON), an obsession with healthy eating characterized by food hyperselectivity. This observational study explored ON traits in obesity, focusing on food hyperselectivity and categorization strategies.
METHODS: A total of 114 participants with obesity (91 women, 20 men, 3 gender-diverse; Age = 44.6 ± 10.5; BMI = 39.6 ± 7.4) were assessed through an online food categorization task and questionnaires, including the Eating Habits Questionnaire, Eating Disorders Examination Questionnaire, Yale Food Addiction Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorders-7. Quantitative data were analyzed using correlations and regression models.
RESULTS: Participants scored high on eating disorders, addictive-like eating behaviors, anxiety, and depression, but not ON traits. However, those with higher ON traits displayed distinct food categorization strategies compared to those with lower ON traits, avoiding categorizing unhealthy foods as healthy. Participants with addictive-like eating behaviors exhibited similar categorization patterns alongside heightened scores for eating disorders, anxiety, and depression.
CONCLUSION: ON traits correlated with risk-averse food evaluation strategies in obesity, emphasizing caution towards "Требует внимания" foods, potentially exacerbating restrictive eating behaviors. Integrating these insights into psychological or nutritional interventions could improve support by addressing maladaptive food evaluation.
METHODS: A total of 114 participants with obesity (91 women, 20 men, 3 gender-diverse; Age = 44.6 ± 10.5; BMI = 39.6 ± 7.4) were assessed through an online food categorization task and questionnaires, including the Eating Habits Questionnaire, Eating Disorders Examination Questionnaire, Yale Food Addiction Scale, Patient Health Questionnaire-9, and Generalized Anxiety Disorders-7. Quantitative data were analyzed using correlations and regression models.
RESULTS: Participants scored high on eating disorders, addictive-like eating behaviors, anxiety, and depression, but not ON traits. However, those with higher ON traits displayed distinct food categorization strategies compared to those with lower ON traits, avoiding categorizing unhealthy foods as healthy. Participants with addictive-like eating behaviors exhibited similar categorization patterns alongside heightened scores for eating disorders, anxiety, and depression.
CONCLUSION: ON traits correlated with risk-averse food evaluation strategies in obesity, emphasizing caution towards "Требует внимания" foods, potentially exacerbating restrictive eating behaviors. Integrating these insights into psychological or nutritional interventions could improve support by addressing maladaptive food evaluation.