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Psychometric Properties of the Dimensional Yale Food Addiction Scale for Children 2.0 among Portuguese Adolescents.

Ana MatosSílvia FélixCarol CoelhoEva M ConceiçãoBárbara César MachadoSónia Gonçalves
Published in: Nutrients (2024)
The dimensional Yale Food Addiction Scale for Children 2.0 (dYFAS-C 2.0) was developed to provide a reliable psychometric measure for assessing food addiction in adolescents, in accordance with the updated addiction criteria proposed in the fifth edition of the Diagnostic and Statistical Manual (DSM-5). The present study aimed to evaluate the psychometric properties of the dYFAS-C 2.0 among Portuguese adolescents and pre-adolescents and to explore the relationship between food addiction and other eating behaviors such as grazing and intuitive eating. The participants were 131 Portuguese adolescents and pre-adolescents (53.4% female and 46.6% male) aged between 10 and 15 years (M age = 11.8) and with a BMI between 11.3 and 35.3 (M BMI z-score = 0.42). Confirmatory Factor Analysis demonstrated an adequate fit for the original one-factor model (χ 2 (104) = 182; p < 0.001; CFI = 0.97; TLI = 0.97; NFI = 0.94; SRMR = 0.101; RMSEA = 0.074; 95% CI [0.056; 0.091]). Food addiction was positively correlated with higher grazing ( r = 0.69, p < 0.001) and negatively correlated with lower reliance on hunger/satiety cues ( r = -0.22, p = 0.015). No significant association was found between food addiction and BMI z -score, or between food addiction and age. The results support the use of dYFAS-C 2.0 as a valid and reliable measure for assessing food addiction in Portuguese adolescents and pre-adolescents. Furthermore, the findings highlight that food addiction may be part of a spectrum of disordered eating behaviors associated with control impairment. Future research with a larger sample size could further elucidate the associations between food addiction and other variables, such as psychological distress and multi-impulsive spectrum behaviors.
Keyphrases
  • young adults
  • physical activity
  • psychometric properties
  • human health
  • body mass index
  • climate change
  • weight gain
  • sleep quality