Abstract
The prevalence of overweight and obesity in young adults has increased dramatically in recent decades. The unhealthy eating habits that develop at this time can often lead to negative health consequences in the future. It is therefore important to learn about self-regulation and self-control strategies and help young adults to have healthy eating behaviours. This study aims to present an Italian version of the Tempest Self-Regulation Questionnaire for Eating (TESQ-E) adapted for young adults. The instrument assesses self-regulation and self-control strategies to counteract the desire and temptation to eat unhealthy food and to choose healthy foods. A total of 645 students (271 males and 374 females with an average age of 24.82 and SD = 4.34) took part in the study. The results of the confirmatory factor analysis supported the six first-order factors model concerning specific self-regulation strategies and a higher-order structure of the TESQ-E [χ(2) (152) = 336.480, p < 0.001; CFI = 0.95; RMSEA = 0.04; SRMR = 0.04]: three correlated second-order factors (addressing the temptation directly, addressing the psychological meaning of temptation, and addressing the goal directly) and one-third-order factor (self-regulatory competence). The results also confirmed the strong measurement invariance of the TESQ-E across gender. To have reliable comparisons across males and females, the latent mean differences tests were performed on the six specific self-regulation strategies. The analysis showed that females appear to prefer strategies that directly address the goal by expressing explicit intentions or plans to eat in a healthy way. Convergence validity was tested through correlations with Eating-Self-Efficacy Brief Scale (ESEBS), Emotional Eating Scale (EES), Scale of Attitudes towards Healthy Eating (SAHE), and Body Mass Index (BMI). In conclusion, the TESQ-E appears to be a psychometrically sound questionnaire that can be effectively used with young adults to measure self-regulation strategies in eating in order to plan personalised interventions for the prevention and control of the metabolic syndrome, and to reduce a wide range of diet-related diseases.